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	<title>Concrete Nonsense &#187; Representation Theory</title>
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		<title>Concrete Nonsense &#187; Representation Theory</title>
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		<title>GLFq III: characteristic map</title>
		<link>http://concretenonsense.wordpress.com/2009/10/12/glfq-iii-characteristic-map/</link>
		<comments>http://concretenonsense.wordpress.com/2009/10/12/glfq-iii-characteristic-map/#comments</comments>
		<pubDate>Mon, 12 Oct 2009 15:47:33 +0000</pubDate>
		<dc:creator>Steven Sam</dc:creator>
				<category><![CDATA[Combinatorics]]></category>
		<category><![CDATA[Representation Theory]]></category>
		<category><![CDATA[GLFq]]></category>
		<category><![CDATA[symmetric functions]]></category>

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		<description><![CDATA[In the last post of this series, I gave some definitions and facts regarding the Hall&#8211;Littlewood functions. I also sketched the relationship between symmetric functions and representations of the symmetric group. Now we&#8217;ll see how this works for the finite general linear groups.
We want to imitate the Frobenius character that is used to relate the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=concretenonsense.wordpress.com&blog=2918042&post=710&subd=concretenonsense&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>In the <a href="http://concretenonsense.wordpress.com/2009/09/28/glfq-ii-hall-littlewood-functions/">last post</a> of this series, I gave some definitions and facts regarding the Hall&#8211;Littlewood functions. I also sketched the relationship between symmetric functions and representations of the symmetric group. Now we&#8217;ll see how this works for the finite general linear groups.</p>
<p>We want to imitate the Frobenius character that is used to relate the characters of the symmetric group to the ring of symmetric functions. But since the description of the conjugacy classes of the finite general linear group (and hence the parametrization of its irreducible characters) are more complicated than the description for the symmetric group, we&#8217;ll need a bigger ring to work with.<br />
<span id="more-710"></span><br />
We continue the notation from <a href="http://concretenonsense.wordpress.com/2009/09/14/glfq-i-conjugacy-classes-of-a-finite-general-linear-group/">the first post</a>. For each irreducible polynomial <img src='http://l.wordpress.com/latex.php?latex=f+%5Cin+%5CPhi&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='f \in \Phi' title='f \in \Phi' class='latex' /> and each positive integer i&gt;0, we have a variable <img src='http://l.wordpress.com/latex.php?latex=X_%7Bi%2Cf%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='X_{i,f}' title='X_{i,f}' class='latex' />, whose degree we set to be deg(f). For any symmetric function u, we set <img src='http://l.wordpress.com/latex.php?latex=u%28X_f%29+%3D+u%28X_%7B1%2Cf%7D%2C+X_%7B2%2Cf%7D%2C+%5Cdots%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='u(X_f) = u(X_{1,f}, X_{2,f}, \dots)' title='u(X_f) = u(X_{1,f}, X_{2,f}, \dots)' class='latex' />. The graded ring we work in is <img src='http://l.wordpress.com/latex.php?latex=B+%3D+%7B%5Cbf+C%7D%5Be_n%28X_f%29+%5Cmid+n+%5Cge+1%2C%5C+f+%5Cin+%5CPhi%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='B = {\bf C}[e_n(X_f) \mid n \ge 1,\ f \in \Phi]' title='B = {\bf C}[e_n(X_f) \mid n \ge 1,\ f \in \Phi]' class='latex' />, where <img src='http://l.wordpress.com/latex.php?latex=e_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='e_n' title='e_n' class='latex' /> denotes the elementary symmetric function. In other words, elements of B are functions which are symmetric in each family of variables <img src='http://l.wordpress.com/latex.php?latex=X_f&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='X_f' title='X_f' class='latex' />.</p>
<p>Recall from last time that for a partition <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' />, <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x%3Bt%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x;t)' title='P_\lambda(x;t)' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=Q_%5Clambda%28x%3Bt%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='Q_\lambda(x;t)' title='Q_\lambda(x;t)' class='latex' /> are the Hall&#8211;Littlewood and augmented Hall&#8211;Littlewood functions. We use these to define elements in B:</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Ctilde%7BP%7D_%5Clambda%28X_f%29+%3D+q%5E%7B-%5Cdeg%28f%29+n%28%5Clambda%29%7D+P_%5Clambda%28X_f%3B+q%5E%7B-%5Cdeg%28f%29%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\tilde{P}_\lambda(X_f) = q^{-\deg(f) n(\lambda)} P_\lambda(X_f; q^{-\deg(f)})' title='\tilde{P}_\lambda(X_f) = q^{-\deg(f) n(\lambda)} P_\lambda(X_f; q^{-\deg(f)})' class='latex' /></p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Ctilde%7BQ%7D_%5Clambda%28X_f%29+%3D+q%5E%7B%5Cdeg%28f%29%28%7C%5Clambda%7C+%2B+n%28%5Clambda%29%29%7D+Q_%5Clambda%28X_f%3B+q%5E%7B-%5Cdeg%28f%29%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\tilde{Q}_\lambda(X_f) = q^{\deg(f)(|\lambda| + n(\lambda))} Q_\lambda(X_f; q^{-\deg(f)})' title='\tilde{Q}_\lambda(X_f) = q^{\deg(f)(|\lambda| + n(\lambda))} Q_\lambda(X_f; q^{-\deg(f)})' class='latex' />,</p>
<p>where <img src='http://l.wordpress.com/latex.php?latex=n%28%5Clambda%29+%3D+%5Csum_i+%28i-1%29%5Clambda_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='n(\lambda) = \sum_i (i-1)\lambda_i' title='n(\lambda) = \sum_i (i-1)\lambda_i' class='latex' />. For a partition-valued function <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' />, we set</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Cdisplaystyle+%5Ctilde%7BP%7D_%7B%5Cboldsymbol%7B%5Cmu%7D%7D+%3D+%5Cprod_%7Bf+%5Cin+%5CPhi%7D+%5Ctilde%7BP%7D_%7B%5Cboldsymbol%7B%5Cmu%7D%28f%29%7D%28X_f%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\displaystyle \tilde{P}_{\boldsymbol{\mu}} = \prod_{f \in \Phi} \tilde{P}_{\boldsymbol{\mu}(f)}(X_f)' title='\displaystyle \tilde{P}_{\boldsymbol{\mu}} = \prod_{f \in \Phi} \tilde{P}_{\boldsymbol{\mu}(f)}(X_f)' class='latex' />,</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Cdisplaystyle+%5Ctilde%7BQ%7D_%7B%5Cboldsymbol%7B%5Cmu%7D%7D+%3D+%5Cprod_%7Bf+%5Cin+%5CPhi%7D+%5Ctilde%7BQ%7D_%7B%5Cboldsymbol%7B%5Cmu%7D%28f%29%7D%28X_f%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\displaystyle \tilde{Q}_{\boldsymbol{\mu}} = \prod_{f \in \Phi} \tilde{Q}_{\boldsymbol{\mu}(f)}(X_f)' title='\displaystyle \tilde{Q}_{\boldsymbol{\mu}} = \prod_{f \in \Phi} \tilde{Q}_{\boldsymbol{\mu}(f)}(X_f)' class='latex' />.</p>
<p>We use these two bases to define a (complex) inner product on B:</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Clangle+%5Ctilde%7BP%7D_%7B%5Cboldsymbol%7B%5Clambda%7D%7D%2C+%5Ctilde%7BQ%7D_%7B%5Cboldsymbol%7B%5Cmu%7D%7D+%5Crangle+%3D+%5Cdelta_%7B%5Cboldsymbol%7B%5Clambda%7D%2C+%5Cboldsymbol%7B%5Cmu%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\langle \tilde{P}_{\boldsymbol{\lambda}}, \tilde{Q}_{\boldsymbol{\mu}} \rangle = \delta_{\boldsymbol{\lambda}, \boldsymbol{\mu}}' title='\langle \tilde{P}_{\boldsymbol{\lambda}}, \tilde{Q}_{\boldsymbol{\mu}} \rangle = \delta_{\boldsymbol{\lambda}, \boldsymbol{\mu}}' class='latex' />. </p>
<p>Now we need to construct the representation ring of the finite general linear groups <img src='http://l.wordpress.com/latex.php?latex=G_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_n' title='G_n' class='latex' /> over <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf F}_q' title='{\bf F}_q' class='latex' />, where now q will remain fixed. This will be very similar to what happens for the symmetric groups. Given characters u and v for <img src='http://l.wordpress.com/latex.php?latex=G_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_n' title='G_n' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=G_m&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_m' title='G_m' class='latex' />, respectively, let P be the parabolic subgroup of <img src='http://l.wordpress.com/latex.php?latex=G_%7Bn%2Bm%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_{n+m}' title='G_{n+m}' class='latex' /> consisting of matrices of the form</p>
<p><img src='http://l.wordpress.com/latex.php?latex=g%28A%2CB%2CC%29+%3D+%5Cbegin%7Bbmatrix%7D+A+%26+B+%5C%5C+0+%26+C+%5Cend%7Bbmatrix%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='g(A,B,C) = \begin{bmatrix} A &amp; B \\ 0 &amp; C \end{bmatrix}' title='g(A,B,C) = \begin{bmatrix} A &amp; B \\ 0 &amp; C \end{bmatrix}' class='latex' /></p>
<p>where A is an <img src='http://l.wordpress.com/latex.php?latex=n+%5Ctimes+n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='n \times n' title='n \times n' class='latex' /> matrix, B is an <img src='http://l.wordpress.com/latex.php?latex=n+%5Ctimes+m&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='n \times m' title='n \times m' class='latex' /> matrix, and C is an <img src='http://l.wordpress.com/latex.php?latex=m+%5Ctimes+m&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='m \times m' title='m \times m' class='latex' /> matrix. We define a character w on P by setting </p>
<p><img src='http://l.wordpress.com/latex.php?latex=w%28g%28A%2CB%2CC%29%29+%3D+u%28A%29+v%28B%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w(g(A,B,C)) = u(A) v(B)' title='w(g(A,B,C)) = u(A) v(B)' class='latex' />.</p>
<p>Then the <b>induction product</b> <img src='http://l.wordpress.com/latex.php?latex=u+%5Ccirc+v&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='u \circ v' title='u \circ v' class='latex' /> is defined as the induced character <img src='http://l.wordpress.com/latex.php?latex=%7B%5Crm+Ind%7D_P%5E%7BG_%7Bn%2Bm%7D%7D%28w%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\rm Ind}_P^{G_{n+m}}(w)' title='{\rm Ind}_P^{G_{n+m}}(w)' class='latex' />. (Recall that for symmetric groups, we define the induction product by inducing from parabolic subgroups <img src='http://l.wordpress.com/latex.php?latex=%5Cmathfrak%7BS%7D_n+%5Ctimes+%5Cmathfrak%7BS%7D_m+%5Csubset+%5Cmathfrak%7BS%7D_%7Bn%2Bm%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathfrak{S}_n \times \mathfrak{S}_m \subset \mathfrak{S}_{n+m}' title='\mathfrak{S}_n \times \mathfrak{S}_m \subset \mathfrak{S}_{n+m}' class='latex' />.) If we let <img src='http://l.wordpress.com/latex.php?latex=A_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='A_n' title='A_n' class='latex' /> denote the complex vector space of characters of <img src='http://l.wordpress.com/latex.php?latex=G_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_n' title='G_n' class='latex' />, then the induction product gives a graded ring structure on <img src='http://l.wordpress.com/latex.php?latex=A+%3D+%5Cbigoplus_%7Bn+%5Cge+0%7D+A_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='A = \bigoplus_{n \ge 0} A_n' title='A = \bigoplus_{n \ge 0} A_n' class='latex' />. We can also put a complex inner product on A by setting the different graded components to be mutually orthogonal and using the standard inner product for characters on each component, just as in the case of the symmetric group. Now comes the important part: let <img src='http://l.wordpress.com/latex.php?latex=%5Cpi_%7B%5Cboldsymbol%7B%5Cmu%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\pi_{\boldsymbol{\mu}}' title='\pi_{\boldsymbol{\mu}}' class='latex' /> denote the function which is 1 on the conjugacy class corresponding to <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' />, and 0 elsewhere. Then we have a characteristic map</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%7B%5Crm+ch%7D+%5Ccolon+A+%5Cto+B%2C+%5Cquad+%7B%5Crm+ch%7D%28%5Cpi_%7B%5Cboldsymbol%7B%5Cmu%7D%7D%29+%3D+%5Ctilde%7BP%7D_%7B%5Cboldsymbol%7B%5Cmu%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\rm ch} \colon A \to B, \quad {\rm ch}(\pi_{\boldsymbol{\mu}}) = \tilde{P}_{\boldsymbol{\mu}}' title='{\rm ch} \colon A \to B, \quad {\rm ch}(\pi_{\boldsymbol{\mu}}) = \tilde{P}_{\boldsymbol{\mu}}' class='latex' />. </p>
<p><b>Theorem.</b> The characteristic map ch is an isometric isomorphism of graded rings.</p>
<p>If we continue with the analogy of the relationship between the symmetric group and symmetric functions, then the characteristic of the irreducible characters of <img src='http://l.wordpress.com/latex.php?latex=G_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_n' title='G_n' class='latex' /> should be some kind of &#8220;Schur functions.&#8221; Unfortunately their definition will require significantly more notation. So I&#8217;ll skip that and just say that we can define functions <img src='http://l.wordpress.com/latex.php?latex=S_%7B%5Cboldsymbol%7B%5Clambda%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='S_{\boldsymbol{\lambda}}' title='S_{\boldsymbol{\lambda}}' class='latex' />. One catch, though, is that the indexing set we use for these Schur functions is not the same as the indexing set for conjugacy classes. The indices <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cboldsymbol%7B%5Clambda%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\boldsymbol{\lambda}}' title='{\boldsymbol{\lambda}}' class='latex' /> can be thought of as partition-valued functions, but on a different domain. But this is not such a big deal.</p>
<p><b>Theorem.</b> The <img src='http://l.wordpress.com/latex.php?latex=S_%7B%5Cboldsymbol%7B%5Clambda%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='S_{\boldsymbol{\lambda}}' title='S_{\boldsymbol{\lambda}}' class='latex' /> form an orthonormal basis for B. Furthermore, their inverses under the characteristic map are the irreducible characters <img src='http://l.wordpress.com/latex.php?latex=%5Cchi%5E%7B%5Cboldsymbol%7B%5Clambda%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\chi^{\boldsymbol{\lambda}}' title='\chi^{\boldsymbol{\lambda}}' class='latex' /> of the groups <img src='http://l.wordpress.com/latex.php?latex=G_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_n' title='G_n' class='latex' />. Consequently, the values of the characters are given by the change of bases <img src='http://l.wordpress.com/latex.php?latex=S_%7B%5Cboldsymbol%7B%5Clambda%7D%7D+%3D+%5Csum_%7B%5Cboldsymbol%7B%5Cmu%7D%7D+%5Cchi%5E%7B%5Cboldsymbol%7B%5Clambda%7D%7D%28%5Cboldsymbol%7B%5Cmu%7D%29+%5Ctilde%7BP%7D_%7B%5Cboldsymbol%7B%5Cmu%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='S_{\boldsymbol{\lambda}} = \sum_{\boldsymbol{\mu}} \chi^{\boldsymbol{\lambda}}(\boldsymbol{\mu}) \tilde{P}_{\boldsymbol{\mu}}' title='S_{\boldsymbol{\lambda}} = \sum_{\boldsymbol{\mu}} \chi^{\boldsymbol{\lambda}}(\boldsymbol{\mu}) \tilde{P}_{\boldsymbol{\mu}}' class='latex' />.</p>
<p>At any rate, I think it is nice that the same kind of setup works for the finite general linear groups as does for the symmetric group, which maybe further justifies the statement that the finite general linear groups are q-analogues of the symmetric groups.</p>
<p>But since these symmetric functions are so horribly complicated, one doesn&#8217;t expect to have a nice combinatorial rule for changing from the S basis to the <img src='http://l.wordpress.com/latex.php?latex=%5Ctilde%7BP%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\tilde{P}' title='\tilde{P}' class='latex' /> basis (such as the Murnaghan&#8211;Nakayama rule for writing the Schur polynomials in terms of power sum symmetric functions in the symmetric group case). There are some nice cases though. When the conjugacy class <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' /> corresponds to a unipotent conjugacy class, we can evaluate induced characters from maximal tori T of <img src='http://l.wordpress.com/latex.php?latex=G_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G_n' title='G_n' class='latex' /> at <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' /> to get <b>Green polynomials</b> (up to a sign). And sometimes these induced characters are irreducible (precisely when the stabilizer of the character in the Weyl group of T is trivial). </p>
<p>Green polynomials are more manageable to think about: they arise as the change of basis coefficients when writing power sum symmetric functions as Hall&#8211;Littlewood functions (now working just in the ring <img src='http://l.wordpress.com/latex.php?latex=%5CLambda%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\Lambda[t]' title='\Lambda[t]' class='latex' /> from last time).</p>
<p>That&#8217;s basically all I want to say about the connection between symmetric functions and finite general linear groups. There is a more powerful approach to characters of these groups using <img src='http://l.wordpress.com/latex.php?latex=%5Cell&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\ell' title='\ell' class='latex' />-adic cohomology due to Deligne and Lusztig, and it works more generally for any finite group of Lie type. Using that approach, it can be shown, for example, that the characters are integer valued.</p>
<p>-Steven</p>
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			<media:title type="html">masnevets</media:title>
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		<item>
		<title>GLFq II: Hall&#8211;Littlewood functions</title>
		<link>http://concretenonsense.wordpress.com/2009/09/28/glfq-ii-hall-littlewood-functions/</link>
		<comments>http://concretenonsense.wordpress.com/2009/09/28/glfq-ii-hall-littlewood-functions/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 14:21:27 +0000</pubDate>
		<dc:creator>Steven Sam</dc:creator>
				<category><![CDATA[Combinatorics]]></category>
		<category><![CDATA[Representation Theory]]></category>
		<category><![CDATA[GLFq]]></category>
		<category><![CDATA[hall-littlewood functions]]></category>
		<category><![CDATA[symmetric functions]]></category>

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		<description><![CDATA[Last time, I discussed how to parametrize the conjugacy classes of the general linear group G over a finite field. In a sense, this group is a q-analogue of the symmetric group, so we might try to imitate the constructions for the symmetric group to get information about G. There&#8217;s a nice construction that Frobenius [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=concretenonsense.wordpress.com&blog=2918042&post=684&subd=concretenonsense&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p><a href="http://concretenonsense.wordpress.com/2009/09/14/glfq-i-conjugacy-classes-of-a-finite-general-linear-group/">Last time</a>, I discussed how to parametrize the conjugacy classes of the general linear group G over a finite field. In a sense, this group is a q-analogue of the symmetric group, so we might try to imitate the constructions for the symmetric group to get information about G. There&#8217;s a nice construction that Frobenius worked out which connects the characters of the symmetric group with the combinatorics of the Schur functions. I&#8217;ll briefly summarize the statement. The conjugacy classes of the symmetric group on n letters are parametrized by partitions of n. So we can also parametrize the irreducible characters by partitions as well (though it is not clear how to do this in a &#8220;canonical&#8221; way <i>a priori</i>). Ignoring the indexing issue (which can be dealt with) and letting <img src='http://l.wordpress.com/latex.php?latex=%5Cchi%5E%5Clambda%28%5Cmu%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\chi^\lambda(\mu)' title='\chi^\lambda(\mu)' class='latex' /> be the irreducible character indexed by <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> evaluated at the conjugacy class consisting of permutations whose cycle lengths are given by the parts of <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' />, then one has <img src='http://l.wordpress.com/latex.php?latex=s_%5Clambda%28x%29+%3D+%5Csum_%5Cmu+z_%5Cmu%5E%7B-1%7D+%5Cchi%5E%5Clambda%28%5Cmu%29+p_%5Cmu%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_\lambda(x) = \sum_\mu z_\mu^{-1} \chi^\lambda(\mu) p_\mu(x)' title='s_\lambda(x) = \sum_\mu z_\mu^{-1} \chi^\lambda(\mu) p_\mu(x)' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=s_%5Clambda%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_\lambda(x)' title='s_\lambda(x)' class='latex' /> is a Schur function, <img src='http://l.wordpress.com/latex.php?latex=p_%5Cmu%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='p_\mu(x)' title='p_\mu(x)' class='latex' /> is a power sum (Newton) symmetric function, and <img src='http://l.wordpress.com/latex.php?latex=z_%5Cmu+%3D+1%5E%7Bm_1%7D+m_1%21+2%5E%7Bm_2%7D+m_2%21+%5Ccdots&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='z_\mu = 1^{m_1} m_1! 2^{m_2} m_2! \cdots' title='z_\mu = 1^{m_1} m_1! 2^{m_2} m_2! \cdots' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=m_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='m_i' title='m_i' class='latex' /> is the number of times that i appears as a part of <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' /> (the meaning of <img src='http://l.wordpress.com/latex.php?latex=z_%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='z_\mu' title='z_\mu' class='latex' /> is that <img src='http://l.wordpress.com/latex.php?latex=n%21+z_%5Cmu%5E%7B-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='n! z_\mu^{-1}' title='n! z_\mu^{-1}' class='latex' /> is the size of the conjugacy class index by <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' />.) </p>
<p>So the question to ask might be &#8220;can we find a similar interpretation for the characters of G?&#8221; The answer is yes, but becomes a bit more involved.<br />
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Instead of Schur functions, one needs to look at another class of symmetric functions called the Hall&#8211;Littlewood functions, but we&#8217;ll actually need a much larger ring than the ring of symmetric functions. While the Schur functions are symmetric functions in a set of variables <img src='http://l.wordpress.com/latex.php?latex=x_1%2C+x_2%2C+%5Cdots&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='x_1, x_2, \dots' title='x_1, x_2, \dots' class='latex' /> usually defined over rational coefficients, the Hall&#8211;Littlewood (HL) functions are symmetric functions defined over the ring <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+Z%7D%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf Z}[t]' title='{\bf Z}[t]' class='latex' /> (so t is an additional variable which does not affect the definition of &#8220;symmetric&#8221;.) Let <img src='http://l.wordpress.com/latex.php?latex=%5CLambda%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\Lambda[t]' title='\Lambda[t]' class='latex' /> denote the symmetric functions in variables <img src='http://l.wordpress.com/latex.php?latex=x_1%2C+x_2%2C+%5Cdots&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='x_1, x_2, \dots' title='x_1, x_2, \dots' class='latex' /> with coefficients in <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+Z%7D%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf Z}[t]' title='{\bf Z}[t]' class='latex' />. Like the Schur functions, the HL functions are indexed by partitions. The definition of the <b>Hall&#8211;Littlewood function</b> indexed by <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> in n variables <img src='http://l.wordpress.com/latex.php?latex=x_1%2C+%5Cdots%2C+x_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='x_1, \dots, x_n' title='x_1, \dots, x_n' class='latex' /> is</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Cdisplaystyle+P_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%3B+t%29+%3D+%5Csum_%7Bw+%5Cin+S_n+%2F+S_n%5E%5Clambda%7D+w%5Cleft%28+x_1%5E%7B%5Clambda_1%7D+%5Ccdots+x_n%5E%7B%5Clambda_n%7D+%5Cprod_%7B%5Clambda_i+%3E+%5Clambda_j%7D+%5Cfrac%7Bx_i+-+tx_j%7D%7Bx_i+-+x_j%7D+%5Cright%29+&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\displaystyle P_\lambda(x_1, \dots, x_n; t) = \sum_{w \in S_n / S_n^\lambda} w\left( x_1^{\lambda_1} \cdots x_n^{\lambda_n} \prod_{\lambda_i &gt; \lambda_j} \frac{x_i - tx_j}{x_i - x_j} \right) ' title='\displaystyle P_\lambda(x_1, \dots, x_n; t) = \sum_{w \in S_n / S_n^\lambda} w\left( x_1^{\lambda_1} \cdots x_n^{\lambda_n} \prod_{\lambda_i &gt; \lambda_j} \frac{x_i - tx_j}{x_i - x_j} \right) ' class='latex' />.</p>
<p>Here <img src='http://l.wordpress.com/latex.php?latex=S_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='S_n' title='S_n' class='latex' /> is the symmetric group on n letters, and <img src='http://l.wordpress.com/latex.php?latex=S_n%5E%5Clambda+%5Csubseteq+S_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='S_n^\lambda \subseteq S_n' title='S_n^\lambda \subseteq S_n' class='latex' /> is the subgroup of permutations w such that <img src='http://l.wordpress.com/latex.php?latex=%5Clambda_%7Bw%28i%29%7D+%3D+%5Clambda_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda_{w(i)} = \lambda_i' title='\lambda_{w(i)} = \lambda_i' class='latex' /> for all i. From this, one can see that <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%3B+1%29+%3D+m_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x_1, \dots, x_n; 1) = m_\lambda(x_1, \dots, x_n)' title='P_\lambda(x_1, \dots, x_n; 1) = m_\lambda(x_1, \dots, x_n)' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=m_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='m_\lambda' title='m_\lambda' class='latex' /> denotes the monomial symmetric function which is the sum of all of the distinct terms <img src='http://l.wordpress.com/latex.php?latex=x_%7Bw%281%29%7D%5E%7B%5Clambda_1%7D+%5Ccdots+x_%7Bw%28n%29%7D%5E%7B%5Clambda_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='x_{w(1)}^{\lambda_1} \cdots x_{w(n)}^{\lambda_n}' title='x_{w(1)}^{\lambda_1} \cdots x_{w(n)}^{\lambda_n}' class='latex' /> as w ranges over all permutations of n.</p>
<p>Set <img src='http://l.wordpress.com/latex.php?latex=%5B%5Clambda%5D_t%21+%3D+%5B%5Clambda_1%5D_t%21+%5Ccdots+%5B%5Clambda_n%5D_t%21&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='[\lambda]_t! = [\lambda_1]_t! \cdots [\lambda_n]_t!' title='[\lambda]_t! = [\lambda_1]_t! \cdots [\lambda_n]_t!' class='latex' />. An equivalent definition for <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda' title='P_\lambda' class='latex' /> is</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Cdisplaystyle+P_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%3B+t%29+%3D+%5B%5Clambda%5D_t%21%5E%7B-1%7D+%5Csum_%7Bw+%5Cin+S_n%7D+w+%5Cleft%28+x_1%5E%7B%5Clambda_1%7D+%5Ccdots+x_n%5E%7B%5Clambda_n%7D+%5Cprod_%7Bi+%3C+j%7D+%5Cfrac%7Bx_i+-+tx_j%7D%7Bx_i+-+x_j%7D+%5Cright%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\displaystyle P_\lambda(x_1, \dots, x_n; t) = [\lambda]_t!^{-1} \sum_{w \in S_n} w \left( x_1^{\lambda_1} \cdots x_n^{\lambda_n} \prod_{i &lt; j} \frac{x_i - tx_j}{x_i - x_j} \right)' title='\displaystyle P_\lambda(x_1, \dots, x_n; t) = [\lambda]_t!^{-1} \sum_{w \in S_n} w \left( x_1^{\lambda_1} \cdots x_n^{\lambda_n} \prod_{i &lt; j} \frac{x_i - tx_j}{x_i - x_j} \right)' class='latex' />,</p>
<p>from which one can deduce that <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%3B+0%29+%3D+s_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x_1, \dots, x_n; 0) = s_\lambda(x_1, \dots, x_n)' title='P_\lambda(x_1, \dots, x_n; 0) = s_\lambda(x_1, \dots, x_n)' class='latex' /> from the Weyl character formula.</p>
<p>I just want to state some of the properties that we will need later without giving too many details. For proofs, one can consult Macdonald&#39;s book <i>Symmetric Functions and Hall Polynomials</i>. From the first definition, one can deduce that these functions enjoy a stability property:</p>
<p><img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%2C+0%3B+t%29+%3D+P_%5Clambda%28x_1%2C+%5Cdots%2C+x_n%3B+t%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x_1, \dots, x_n, 0; t) = P_\lambda(x_1, \dots, x_n; t)' title='P_\lambda(x_1, \dots, x_n, 0; t) = P_\lambda(x_1, \dots, x_n; t)' class='latex' />,</p>
<p>and hence one can define <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x%3Bt%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x;t)' title='P_\lambda(x;t)' class='latex' /> in infinitely many variables <img src='http://l.wordpress.com/latex.php?latex=x_1%2C+x_2%2C+%5Cdots&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='x_1, x_2, \dots' title='x_1, x_2, \dots' class='latex' /> by taking an inverse limit. Since the <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda' title='P_\lambda' class='latex' /> are symmetric functions, we can write </p>
<p><img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x%3Bt%29+%3D+%5Csum_%5Cmu+w_%7B%5Clambda%2C+%5Cmu%7D+%28t%29+s_%5Cmu%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x;t) = \sum_\mu w_{\lambda, \mu} (t) s_\mu(x)' title='P_\lambda(x;t) = \sum_\mu w_{\lambda, \mu} (t) s_\mu(x)' class='latex' /></p>
<p>for some polynomials <img src='http://l.wordpress.com/latex.php?latex=w_%7B%5Clambda%2C%5Cmu%7D%28t%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w_{\lambda,\mu}(t)' title='w_{\lambda,\mu}(t)' class='latex' />. In fact, <img src='http://l.wordpress.com/latex.php?latex=w_%7B%5Clambda%2C+%5Clambda%7D%28t%29+%3D+1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w_{\lambda, \lambda}(t) = 1' title='w_{\lambda, \lambda}(t) = 1' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=w_%7B%5Clambda%2C%5Cmu%7D%28t%29+%3D+0&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w_{\lambda,\mu}(t) = 0' title='w_{\lambda,\mu}(t) = 0' class='latex' /> unless <img src='http://l.wordpress.com/latex.php?latex=%5Clambda+%5Cge+%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda \ge \mu' title='\lambda \ge \mu' class='latex' /> (dominance order), so the change of basis matrix from <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda' title='P_\lambda' class='latex' /> to <img src='http://l.wordpress.com/latex.php?latex=s_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_\lambda' title='s_\lambda' class='latex' /> is upper unitriangular, which implies that the <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x%3Bt%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x;t)' title='P_\lambda(x;t)' class='latex' /> form a <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+Z%7D%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf Z}[t]' title='{\bf Z}[t]' class='latex' />-basis of <img src='http://l.wordpress.com/latex.php?latex=%5CLambda%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\Lambda[t]' title='\Lambda[t]' class='latex' />.</p>
<p>The inverse of this change of basis is very interesting. In this case, write <img src='http://l.wordpress.com/latex.php?latex=s_%5Clambda%28x%29+%3D+%5Csum_%5Cmu+K_%7B%5Clambda%2C+%5Cmu%7D%28t%29+P_%5Cmu%28x%3Bt%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_\lambda(x) = \sum_\mu K_{\lambda, \mu}(t) P_\mu(x;t)' title='s_\lambda(x) = \sum_\mu K_{\lambda, \mu}(t) P_\mu(x;t)' class='latex' />. The <img src='http://l.wordpress.com/latex.php?latex=K_%7B%5Clambda%2C+%5Cmu%7D%28t%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='K_{\lambda, \mu}(t)' title='K_{\lambda, \mu}(t)' class='latex' /> are the <b>Kostka&#8211;Foulkes polynomials</b>. Since <img src='http://l.wordpress.com/latex.php?latex=P_%5Cmu%28x%3B1%29+%3D+m_%5Cmu%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\mu(x;1) = m_\mu(x)' title='P_\mu(x;1) = m_\mu(x)' class='latex' />, we see that <img src='http://l.wordpress.com/latex.php?latex=K_%7B%5Clambda%2C+%5Cmu%7D%28t%29+%3D+K_%7B%5Clambda%2C+%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='K_{\lambda, \mu}(t) = K_{\lambda, \mu}' title='K_{\lambda, \mu}(t) = K_{\lambda, \mu}' class='latex' /> are the Kostka numbers. It is a fact that the Kostka&#8211;Foulkes polynomials are in fact polynomials, and they have nonnegative integers. I hope to write a post about these at some point. </p>
<p>We will also need augmentations of these functions in the next post. First set</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Cdisplaystyle+b_%5Clambda%28t%29+%3D+%5Cprod_%7Bi+%5Cge+1%7D+%5B%281-t%29%281-t%5E2%29+%5Ccdots+%281-t%5E%7Bm_i%28%5Clambda%29%7D%29%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\displaystyle b_\lambda(t) = \prod_{i \ge 1} [(1-t)(1-t^2) \cdots (1-t^{m_i(\lambda)})]' title='\displaystyle b_\lambda(t) = \prod_{i \ge 1} [(1-t)(1-t^2) \cdots (1-t^{m_i(\lambda)})]' class='latex' /></p>
<p>where <img src='http://l.wordpress.com/latex.php?latex=m_i%28%5Clambda%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='m_i(\lambda)' title='m_i(\lambda)' class='latex' /> is the multiplicity with which i appears in <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' />. Then define</p>
<p><img src='http://l.wordpress.com/latex.php?latex=Q_%5Clambda%28x%3B+t%29+%3D+b_%5Clambda%28t%29+P_%5Clambda%28x%3B+t%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='Q_\lambda(x; t) = b_\lambda(t) P_\lambda(x; t)' title='Q_\lambda(x; t) = b_\lambda(t) P_\lambda(x; t)' class='latex' />. </p>
<p>Although we won&#8217;t use them, let me mention skew Hall&#8211;Littlewood functions. Define an inner product on <img src='http://l.wordpress.com/latex.php?latex=%5CLambda%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\Lambda[t]' title='\Lambda[t]' class='latex' /> by declaring that <img src='http://l.wordpress.com/latex.php?latex=%5Clangle+P_%5Clambda%28x%3Bt%29%2C+Q_%5Cmu%28x%3Bt%29+%5Crangle+%3D+%5Cdelta_%7B%5Clambda%2C+%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\langle P_\lambda(x;t), Q_\mu(x;t) \rangle = \delta_{\lambda, \mu}' title='\langle P_\lambda(x;t), Q_\mu(x;t) \rangle = \delta_{\lambda, \mu}' class='latex' />. Then we can define <b>skew Hall&#8211;Littlewood functions</b> for partitions <img src='http://l.wordpress.com/latex.php?latex=%5Cmu+%5Csubseteq+%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu \subseteq \lambda' title='\mu \subseteq \lambda' class='latex' /> via</p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Clangle+Q_%7B%5Clambda%2F%5Cmu%7D%28x%3Bt%29%2C+P_%5Cnu%28x%3Bt%29+%5Crangle+%3D+%5Clangle+Q_%5Clambda%28x%3Bt%29%2C+P_%5Cmu%28x%3Bt%29+P_%5Cnu%28x%3Bt%29+%5Crangle&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\langle Q_{\lambda/\mu}(x;t), P_\nu(x;t) \rangle = \langle Q_\lambda(x;t), P_\mu(x;t) P_\nu(x;t) \rangle' title='\langle Q_{\lambda/\mu}(x;t), P_\nu(x;t) \rangle = \langle Q_\lambda(x;t), P_\mu(x;t) P_\nu(x;t) \rangle' class='latex' /></p>
<p><img src='http://l.wordpress.com/latex.php?latex=%5Clangle+P_%7B%5Clambda%2F%5Cmu%7D%28x%3Bt%29%2C+Q_%5Cnu%28x%3Bt%29+%5Crangle+%3D+%5Clangle+P_%5Clambda%28x%3Bt%29%2C+Q_%5Cmu%28x%3Bt%29+Q_%5Cnu%28x%3Bt%29+%5Crangle&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\langle P_{\lambda/\mu}(x;t), Q_\nu(x;t) \rangle = \langle P_\lambda(x;t), Q_\mu(x;t) Q_\nu(x;t) \rangle' title='\langle P_{\lambda/\mu}(x;t), Q_\nu(x;t) \rangle = \langle P_\lambda(x;t), Q_\mu(x;t) Q_\nu(x;t) \rangle' class='latex' />.</p>
<p>From this definition, setting <img src='http://l.wordpress.com/latex.php?latex=t%3D0&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='t=0' title='t=0' class='latex' /> gives back the skew Schur functions <img src='http://l.wordpress.com/latex.php?latex=s_%7B%5Clambda%2F%5Cmu%7D%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_{\lambda/\mu}(x)' title='s_{\lambda/\mu}(x)' class='latex' /> (since they are defined in a similar way). The weird thing, however, is that the skew Schur functions only depend on the shape <img src='http://l.wordpress.com/latex.php?latex=%5Clambda%2F%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda/\mu' title='\lambda/\mu' class='latex' />, whereas the skew Hall&#8211;Littlewood functions remember both <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' />. One can write down a rather explicit formula for <img src='http://l.wordpress.com/latex.php?latex=Q_%7B%5Clambda%2F%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='Q_{\lambda/\mu}' title='Q_{\lambda/\mu}' class='latex' /> in terms of semistandard tableaux which shows that the function depends on both <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' /> (but this is only seen in the powers of t, and not the <img src='http://l.wordpress.com/latex.php?latex=x_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='x_i' title='x_i' class='latex' />), but I will omit this so that I can wrap this post up.</p>
<p>Let me just end with some other specializations of t that are important. When <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> is a strict partition (i.e., the nonzero parts are distinct) then setting <img src='http://l.wordpress.com/latex.php?latex=t%3D-1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='t=-1' title='t=-1' class='latex' /> gives <img src='http://l.wordpress.com/latex.php?latex=P_%5Clambda%28x%3B-1%29+%3D+2%5E%7B%5Cell%28%5Clambda%29%7D+Q_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='P_\lambda(x;-1) = 2^{\ell(\lambda)} Q_\lambda' title='P_\lambda(x;-1) = 2^{\ell(\lambda)} Q_\lambda' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=%5Cell%28%5Clambda%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\ell(\lambda)' title='\ell(\lambda)' class='latex' /> is the number of parts, and <img src='http://l.wordpress.com/latex.php?latex=Q_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='Q_\lambda' title='Q_\lambda' class='latex' /> are the Schur Q-functions, which are important for the projective representation theory of the symmetric group (maybe a future topic). Also, specializations at <img src='http://l.wordpress.com/latex.php?latex=t%3Dq%5E%7B-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='t=q^{-1}' title='t=q^{-1}' class='latex' /> for q a prime power are related to Hall algebras, which are used to keep track of extensions between finite Abelian groups. </p>
<p><a href="http://concretenonsense.wordpress.com/2009/10/12/glfq-iii-characteristic-map/">In the next post</a>, I&#8217;ll discuss the connection between characters of <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+GL%7D_n%28%7B%5Cbf+F%7D_q%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf GL}_n({\bf F}_q)' title='{\bf GL}_n({\bf F}_q)' class='latex' /> and symmetric functions.</p>
<p>-Steven</p>
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		<title>GLFq I: Conjugacy classes of a finite general linear group</title>
		<link>http://concretenonsense.wordpress.com/2009/09/14/glfq-i-conjugacy-classes-of-a-finite-general-linear-group/</link>
		<comments>http://concretenonsense.wordpress.com/2009/09/14/glfq-i-conjugacy-classes-of-a-finite-general-linear-group/#comments</comments>
		<pubDate>Mon, 14 Sep 2009 15:26:32 +0000</pubDate>
		<dc:creator>Steven Sam</dc:creator>
				<category><![CDATA[Combinatorics]]></category>
		<category><![CDATA[Representation Theory]]></category>
		<category><![CDATA[conjugacy classes]]></category>
		<category><![CDATA[finite fields]]></category>
		<category><![CDATA[general linear group]]></category>
		<category><![CDATA[GLFq]]></category>
		<category><![CDATA[rational canonical form]]></category>

		<guid isPermaLink="false">http://concretenonsense.wordpress.com/?p=665</guid>
		<description><![CDATA[I&#8217;d like to start a series of posts, GLFq (general linear group over a finite field), in which I hope to explain the representation theory of  (n and q will remain fixed). In this first post, I&#8217;ll explain how to write down the conjugacy classes of G. In later posts, I plan to introduce [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=concretenonsense.wordpress.com&blog=2918042&post=665&subd=concretenonsense&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>I&#8217;d like to start a series of posts, GLFq (general linear group over a finite field), in which I hope to explain the representation theory of <img src='http://l.wordpress.com/latex.php?latex=G+%3D+%7B%5Cbf+GL%7D_n%28%7B%5Cbf+F%7D_q%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G = {\bf GL}_n({\bf F}_q)' title='G = {\bf GL}_n({\bf F}_q)' class='latex' /> (n and q will remain fixed). In this first post, I&#8217;ll explain how to write down the conjugacy classes of G. In later posts, I plan to introduce Hall&#8211;Littlewood polynomials and the characteristic map. I would like to also go into how to construct the actual representations, and discuss things related to Hall&#8211;Littlewood polynomials, like the q-Kostka polynomials and a lot of the interesting algebra/geometry behind them.</p>
<p>There are two pieces of data we would like to know. First, what is the size of G? Second, how do we parameterize the conjugacy classes? The first question is easy to answer since an invertible matrix is given by the data of n linearly independent vectors. The first one can be chosen to be any nonzero vector, so there are <img src='http://l.wordpress.com/latex.php?latex=q%5En+-+1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q^n - 1' title='q^n - 1' class='latex' /> of them. In general, the ith one can be chosen to be any vector not in the span of the last i-1 (so we are just avoiding some i-1 dimensional subspace, which has <img src='http://l.wordpress.com/latex.php?latex=q%5E%7Bi-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q^{i-1}' title='q^{i-1}' class='latex' /> elements), and hence there are <img src='http://l.wordpress.com/latex.php?latex=q%5En+-+q%5E%7Bi-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q^n - q^{i-1}' title='q^n - q^{i-1}' class='latex' /> choices for such a vector. All together, the number of elements of G is <img src='http://l.wordpress.com/latex.php?latex=%5Cprod_%7Bi%3D1%7D%5En+%28q%5En-q%5E%7Bi-1%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\prod_{i=1}^n (q^n-q^{i-1})' title='\prod_{i=1}^n (q^n-q^{i-1})' class='latex' />. We can rewrite this as <img src='http://l.wordpress.com/latex.php?latex=q%5E%7B%5Cbinom%7Bn%7D%7B2%7D%7D+%28q-1%29%5En+%5Bn%5D_q%21&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q^{\binom{n}{2}} (q-1)^n [n]_q!' title='q^{\binom{n}{2}} (q-1)^n [n]_q!' class='latex' /> to make it more analogous to the number of elements of the symmetric group.<br />
<span id="more-665"></span><br />
The second question requires the rational canonical form. If we were dealing with an algebraically closed field, conjugacy classes would of course be parameterized by Jordan normal forms, so we need some kind of substitute for that. First, we need the structure theorem for finitely generated modules over a principal ideal domain R. This says that any such module is a direct sum of its torsion submodule and a free submodule. Furthermore, the torsion submodule is uniquely a direct sum of cyclic modules, which can be written in the form <img src='http://l.wordpress.com/latex.php?latex=R%2F%28f%5Em%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='R/(f^m)' title='R/(f^m)' class='latex' /> for some irreducible element f and some positive integer m.</p>
<p>Given a matrix A, we&#8217;ll apply this to the case <img src='http://l.wordpress.com/latex.php?latex=R+%3D+%7B%5Cbf+F%7D_q%5Bt%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='R = {\bf F}_q[t]' title='R = {\bf F}_q[t]' class='latex' /> and the module <img src='http://l.wordpress.com/latex.php?latex=V+%3D+%7B%5Cbf+F%7D_q%5En&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='V = {\bf F}_q^n' title='V = {\bf F}_q^n' class='latex' /> where the action of a polynomial p(t) on V is given by p(A). Irreducible elements of R are the same as irreducible polynomials, but we will never see the polynomial x show up if A is invertible, and we will only need to use the monic ones. Let <img src='http://l.wordpress.com/latex.php?latex=%5CPhi&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\Phi' title='\Phi' class='latex' /> be the set of all monic irreducible polynomials over <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf F}_q' title='{\bf F}_q' class='latex' /> which are different from the constant polynomial x. Hence, we see that the data of the decomposition is given by a partition valued function <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' /> on <img src='http://l.wordpress.com/latex.php?latex=%5CPhi&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\Phi' title='\Phi' class='latex' />. Explicitly, the function <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' /> gives the module <img src='http://l.wordpress.com/latex.php?latex=%5Cbigoplus_%7Bf+%5Cin+%5CPhi%7D+%5Cbigoplus_%7Bi+%5Cge+0%7D+R+%2F+%28f%5E%7B%5Cboldsymbol%7B%5Cmu%7D%28f%29_i%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\bigoplus_{f \in \Phi} \bigoplus_{i \ge 0} R / (f^{\boldsymbol{\mu}(f)_i})' title='\bigoplus_{f \in \Phi} \bigoplus_{i \ge 0} R / (f^{\boldsymbol{\mu}(f)_i})' class='latex' />. </p>
<p>Since the dimension of <img src='http://l.wordpress.com/latex.php?latex=R+%2F+%28f%5Em%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='R / (f^m)' title='R / (f^m)' class='latex' /> is <img src='http://l.wordpress.com/latex.php?latex=%5Cdeg%28f%29+%5Ccdot+m&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\deg(f) \cdot m' title='\deg(f) \cdot m' class='latex' />, the conjugacy classes of G are given by those partition valued functions <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=%5C%7C+%5Cboldsymbol%7B%5Cmu%7D+%5C%7C+%3A%3D+%5Csum_%7Bf+%5Cin+%5CPhi%7D+%5Csum_i+%5Cdeg%28f%29+%5Cboldsymbol%7B%5Cmu%7D%28f%29_i+%3D+n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\| \boldsymbol{\mu} \| := \sum_{f \in \Phi} \sum_i \deg(f) \boldsymbol{\mu}(f)_i = n' title='\| \boldsymbol{\mu} \| := \sum_{f \in \Phi} \sum_i \deg(f) \boldsymbol{\mu}(f)_i = n' class='latex' />. </p>
<p>As an aside, if we look at the conjugacy classes of all matrices instead of invertible matrices, i.e., we allow the domain of the partition valued functions above to include the polynomial x, then the number of such classes is <img src='http://l.wordpress.com/latex.php?latex=%5Csum_j+p_j%28n%29+q%5Ej&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\sum_j p_j(n) q^j' title='\sum_j p_j(n) q^j' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=p_j%28n%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='p_j(n)' title='p_j(n)' class='latex' /> is the number of partitions of n into j parts. I think it&#8217;s a really nice formula (though it takes some work to show). See <a href="http://math.mit.edu/~rstan/ec/ch1.pdf">Chapter 1, Section 10 of the second edition of Enumerative Combinatorics I</a> for a derivation of this formula.</p>
<p>Let&#8217;s look at the case of n=2. The only valid partition valued functions can only have nonempty values on polynomials of degree at most 2. There are 3 types of functions:</p>
<ul>
<li>There exists a single monic irreducible polynomial f of degree 1 such that <img src='http://l.wordpress.com/latex.php?latex=%5Cmu+%3D+%5Cboldsymbol%7B%5Cmu%7D%28f%29+%5Cne+%5Cemptyset&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu = \boldsymbol{\mu}(f) \ne \emptyset' title='\mu = \boldsymbol{\mu}(f) \ne \emptyset' class='latex' /> and we have <img src='http://l.wordpress.com/latex.php?latex=%5Csum_i+%5Cmu_i+%3D+2&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\sum_i \mu_i = 2' title='\sum_i \mu_i = 2' class='latex' />, so <img src='http://l.wordpress.com/latex.php?latex=%5Cmu+%5Cin+%5C%7B%282%29%2C+%281%2C1%29%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu \in \{(2), (1,1)\}' title='\mu \in \{(2), (1,1)\}' class='latex' />. These correspond to matrices with a single eigenvalue, the partition (2) means that it&#8217;s a diagonal matrix, and the partition (1,1) means that it is conjugate to a size 2 Jordan block.</li>
<li>There exists two distinct monic irreducible polynomials f and g of degree 1 such that <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}' title='\boldsymbol{\mu}' class='latex' /> takes the value (1) on both and is empty on all other polynomials. These correspond to matrices with two distinct eigenvalues.</li>
<li>There exists a single monic irreducible polynomial f of degree 2 such that <img src='http://l.wordpress.com/latex.php?latex=%5Cboldsymbol%7B%5Cmu%7D%28f%29+%3D+%281%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\boldsymbol{\mu}(f) = (1)' title='\boldsymbol{\mu}(f) = (1)' class='latex' /> and all other values are the empty partition. These are matrices without a Jordan normal form.</li>
</ul>
<p>The only irreducible polynomials of degree 1 which are allowed are of the form x-a for a nonzero value of a. So there are 2(q-1) functions of the first kind and <img src='http://l.wordpress.com/latex.php?latex=%5Cbinom%7Bq-1%7D%7B2%7D+%3D+%28q-1%29%28q-2%29%2F2&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\binom{q-1}{2} = (q-1)(q-2)/2' title='\binom{q-1}{2} = (q-1)(q-2)/2' class='latex' /> functions of the second kind. For the third kind, we have <img src='http://l.wordpress.com/latex.php?latex=q%5E2&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q^2' title='q^2' class='latex' /> monic polynomials of degree 2 over <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf F}_q' title='{\bf F}_q' class='latex' />. There are q polynomials of the form <img src='http://l.wordpress.com/latex.php?latex=%28x-a%29%5E2&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='(x-a)^2' title='(x-a)^2' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Cbinom%7Bq%7D%7B2%7D+%3D+q%28q-1%29%2F2&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\binom{q}{2} = q(q-1)/2' title='\binom{q}{2} = q(q-1)/2' class='latex' /> of the form <img src='http://l.wordpress.com/latex.php?latex=%28x-a%29%28x-b%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='(x-a)(x-b)' title='(x-a)(x-b)' class='latex' /> for a and b distinct, so we must have <img src='http://l.wordpress.com/latex.php?latex=q%5E2+-+q+-+q%28q-1%29%2F2+%3D+q%28q-1%29%2F2&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q^2 - q - q(q-1)/2 = q(q-1)/2' title='q^2 - q - q(q-1)/2 = q(q-1)/2' class='latex' /> monic irreducible degree 2 polynomials over <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf F}_q' title='{\bf F}_q' class='latex' />. Thus in total we have <img src='http://l.wordpress.com/latex.php?latex=2%28q-1%29+%2B+%28q-1%29%28q-2%29%2F2+%2B+q%28q-1%29%2F2+%3D+q%5E2+-+1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='2(q-1) + (q-1)(q-2)/2 + q(q-1)/2 = q^2 - 1' title='2(q-1) + (q-1)(q-2)/2 + q(q-1)/2 = q^2 - 1' class='latex' /> conjugacy classes.</p>
<p>Next time, I&#8217;ll say something about Hall&#8211;Littlewood polynomials. <a href="http://concretenonsense.wordpress.com/2009/09/28/glfq-ii-hall-littlewood-functions/">Click here</a> for the next post.</p>
<p>-Steven</p>
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		<title>A Fock space representation</title>
		<link>http://concretenonsense.wordpress.com/2009/08/31/a-fock-space-representation/</link>
		<comments>http://concretenonsense.wordpress.com/2009/08/31/a-fock-space-representation/#comments</comments>
		<pubDate>Mon, 31 Aug 2009 13:39:23 +0000</pubDate>
		<dc:creator>Steven Sam</dc:creator>
				<category><![CDATA[Combinatorics]]></category>
		<category><![CDATA[Representation Theory]]></category>
		<category><![CDATA[canonical bases]]></category>
		<category><![CDATA[quantum groups]]></category>
		<category><![CDATA[symmetric functions]]></category>

		<guid isPermaLink="false">http://concretenonsense.wordpress.com/?p=623</guid>
		<description><![CDATA[Lately I&#8217;ve been reading about quantum groups. I particularly enjoyed Bernard Leclerc&#8217;s paper Symmetric functions and the Fock space representation of , so I want to discuss a little bit of it. In particular, I want to give an example of the technique of deforming an object in order to see &#8220;hidden structure.&#8221; My notation [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=concretenonsense.wordpress.com&blog=2918042&post=623&subd=concretenonsense&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>Lately I&#8217;ve been reading about quantum groups. I particularly enjoyed Bernard Leclerc&#8217;s paper <a href="http://math.mit.edu/~ssam/papers/leclercfockspace.pdf">Symmetric functions and the Fock space representation of <img src='http://l.wordpress.com/latex.php?latex=U_q%28%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='U_q(\widehat{\mathfrak{sl}_n})' title='U_q(\widehat{\mathfrak{sl}_n})' class='latex' /></a>, so I want to discuss a little bit of it. In particular, I want to give an example of the technique of deforming an object in order to see &#8220;hidden structure.&#8221; My notation will differ slightly from Leclerc&#8217;s since he uses the French notation for Young diagrams.</p>
<p>One thing that has always been really hard for me to wrap my head around is the really complicated presentations that affine Lie algebras have and how one is supposed to do anything with them. This post will be about the affine Lie algebra <img src='http://l.wordpress.com/latex.php?latex=%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\widehat{\mathfrak{sl}_n}' title='\widehat{\mathfrak{sl}_n}' class='latex' />, which is defined in the paper as the Lie algebra with generators <img src='http://l.wordpress.com/latex.php?latex=e_i%2C+f_i%2C+h_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='e_i, f_i, h_i' title='e_i, f_i, h_i' class='latex' /> (<img src='http://l.wordpress.com/latex.php?latex=0+%5Cle+i+%5Cle+n-1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='0 \le i \le n-1' title='0 \le i \le n-1' class='latex' />) and d, with 5 lines of relations. Let K be a field of characteristic 0. Another way around this is to first define the loop algebra <img src='http://l.wordpress.com/latex.php?latex=L%28%5Cmathfrak%7Bg%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='L(\mathfrak{g})' title='L(\mathfrak{g})' class='latex' /> of a simple Lie algebra <img src='http://l.wordpress.com/latex.php?latex=%5Cmathfrak%7Bg%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathfrak{g}' title='\mathfrak{g}' class='latex' /> as: <img src='http://l.wordpress.com/latex.php?latex=L%28%5Cmathfrak%7Bg%7D%29+%3D+%5Cmathfrak%7Bg%7D+%5Cotimes+K%5Bt%2Ct%5E%7B-1%7D%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='L(\mathfrak{g}) = \mathfrak{g} \otimes K[t,t^{-1}]' title='L(\mathfrak{g}) = \mathfrak{g} \otimes K[t,t^{-1}]' class='latex' /> with a Lie bracket given by <img src='http://l.wordpress.com/latex.php?latex=%5Ba+%5Cotimes+t%5En%2C+b+%5Cotimes+t%5Em%5D+%3D+%5Ba%2Cb%5D_%7B%5Cmathfrak%7Bg%7D%7D+%5Cotimes+t%5E%7Bn%2Bm%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='[a \otimes t^n, b \otimes t^m] = [a,b]_{\mathfrak{g}} \otimes t^{n+m}' title='[a \otimes t^n, b \otimes t^m] = [a,b]_{\mathfrak{g}} \otimes t^{n+m}' class='latex' />, and then to say that <img src='http://l.wordpress.com/latex.php?latex=%5Cwidehat%7B%5Cmathfrak%7Bg%7D%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\widehat{\mathfrak{g}}' title='\widehat{\mathfrak{g}}' class='latex' /> is its universal central extension. More precisely, we say add a central element c, and then extend the bracket above via <img src='http://l.wordpress.com/latex.php?latex=%5Ba+%5Cotimes+t%5En%2C+b+%5Cotimes+t%5Em%5D+%3D+%5Ba%2Cb%5D_%7B%5Cmathfrak%7Bg%7D%7D+%5Cotimes+t%5E%7Bn%2Bm%7D+%2B+%28a%2Cb%29_%7B%5Cmathfrak%7Bg%7D%7D+n+%5Cdelta_%7Bn%2C-m%7D+c&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='[a \otimes t^n, b \otimes t^m] = [a,b]_{\mathfrak{g}} \otimes t^{n+m} + (a,b)_{\mathfrak{g}} n \delta_{n,-m} c' title='[a \otimes t^n, b \otimes t^m] = [a,b]_{\mathfrak{g}} \otimes t^{n+m} + (a,b)_{\mathfrak{g}} n \delta_{n,-m} c' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=%5Cdelta&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\delta' title='\delta' class='latex' /> is the Kronecker delta, and (,) is the Killing form of <img src='http://l.wordpress.com/latex.php?latex=%5Cmathfrak%7Bg%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathfrak{g}' title='\mathfrak{g}' class='latex' />. </p>
<p>In the case that <img src='http://l.wordpress.com/latex.php?latex=%5Cmathfrak%7Bg%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathfrak{g}' title='\mathfrak{g}' class='latex' /> is <img src='http://l.wordpress.com/latex.php?latex=%5Cmathfrak%7Bsl%7D_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathfrak{sl}_n' title='\mathfrak{sl}_n' class='latex' />, I want to discuss a more concrete (combinatorial) description. Just as <img src='http://l.wordpress.com/latex.php?latex=%5Cmathfrak%7Bsl%7D_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathfrak{sl}_n' title='\mathfrak{sl}_n' class='latex' /> can be thought as the traceless operators on an n-dimensional vector space (the standard representation), we can also find a standard representation for <img src='http://l.wordpress.com/latex.php?latex=%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\widehat{\mathfrak{sl}_n}' title='\widehat{\mathfrak{sl}_n}' class='latex' /> (the Fock space representation). For this, let <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}' title='{\cal F}' class='latex' /> denote the ring of symmetric functions over K in infinitely many variables. The Schur functions <img src='http://l.wordpress.com/latex.php?latex=s_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_\lambda' title='s_\lambda' class='latex' /> form a basis indexed by partitions, and this will be our representation. In order to describe the actions of <img src='http://l.wordpress.com/latex.php?latex=%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\widehat{\mathfrak{sl}_n}' title='\widehat{\mathfrak{sl}_n}' class='latex' /> on Sym, we&#8217;ll need some notation.<br />
<span id="more-623"></span><br />
First, we represent partitions <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> by their Young diagram (<img src='http://l.wordpress.com/latex.php?latex=%5Clambda_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda_i' title='\lambda_i' class='latex' /> boxes drawn in the ith row, left justified). The <b>content</b> of a box (i,j) is the number i-j. We&#8217;ll consider contents modulo n, and say that a box is an i-node if it has content i modulo n. We define <img src='http://l.wordpress.com/latex.php?latex=e_is_%5Clambda+%3D+%5Csum_%5Cmu+s_%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='e_is_\lambda = \sum_\mu s_\mu' title='e_is_\lambda = \sum_\mu s_\mu' class='latex' /> (resp. <img src='http://l.wordpress.com/latex.php?latex=f_is_%5Clambda+%3D+%5Csum_%5Cmu+s_%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='f_is_\lambda = \sum_\mu s_\mu' title='f_is_\lambda = \sum_\mu s_\mu' class='latex' />) where the sum is over all <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' /> obtained from <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> by removing (resp. adding) an i-node, and define <img src='http://l.wordpress.com/latex.php?latex=ds_%5Clambda+%3D+N_0%28%5Clambda%29s_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='ds_\lambda = N_0(\lambda)s_\lambda' title='ds_\lambda = N_0(\lambda)s_\lambda' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=N_0%28%5Clambda%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='N_0(\lambda)' title='N_0(\lambda)' class='latex' /> is the number of 0-nodes of <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' />. Finally, set <img src='http://l.wordpress.com/latex.php?latex=h_i+%3D+e_if_i+-+f_ie_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='h_i = e_if_i - f_ie_i' title='h_i = e_if_i - f_ie_i' class='latex' />. Then <img src='http://l.wordpress.com/latex.php?latex=%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\widehat{\mathfrak{sl}_n}' title='\widehat{\mathfrak{sl}_n}' class='latex' /> is the Lie algebra spanned by these generators.</p>
<p>Unlike the <img src='http://l.wordpress.com/latex.php?latex=%5Cmathfrak%7Bsl%7D_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathfrak{sl}_n' title='\mathfrak{sl}_n' class='latex' /> case, the Fock space representation is not irreducible. Let <img src='http://l.wordpress.com/latex.php?latex=p_%5Clambda+%3D+%5Cprod_i+p_%7B%5Clambda_i%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='p_\lambda = \prod_i p_{\lambda_i}' title='p_\lambda = \prod_i p_{\lambda_i}' class='latex' /> be the power sum symmetric function where <img src='http://l.wordpress.com/latex.php?latex=p_i+%3D+%5Csum_%7Bj+%5Cge+1%7D+x_j%5Ei&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='p_i = \sum_{j \ge 1} x_j^i' title='p_i = \sum_{j \ge 1} x_j^i' class='latex' />. It turns out that the set <img src='http://l.wordpress.com/latex.php?latex=%5C%7Bp_%7Bn%5Clambda%7D%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\{p_{n\lambda}\}' title='\{p_{n\lambda}\}' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=n%5Clambda+%3D+%28n%5Clambda_1%2C+n%5Clambda_2%2C+%5Cdots%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='n\lambda = (n\lambda_1, n\lambda_2, \dots)' title='n\lambda = (n\lambda_1, n\lambda_2, \dots)' class='latex' /> are the highest weight vectors of this representation (i.e., they are killed by the <img src='http://l.wordpress.com/latex.php?latex=e_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='e_i' title='e_i' class='latex' />, and are eigenvectors for d and the <img src='http://l.wordpress.com/latex.php?latex=h_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='h_i' title='h_i' class='latex' />). Furthermore, one has <img src='http://l.wordpress.com/latex.php?latex=dp_%7Bn%5Clambda%7D+%3D+%7C%5Clambda%7C+p_%7Bn%5Clambda%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='dp_{n\lambda} = |\lambda| p_{n\lambda}' title='dp_{n\lambda} = |\lambda| p_{n\lambda}' class='latex' />, so we have a natural notion of degree for our highest weight vectors. Within these graded subsets, the <img src='http://l.wordpress.com/latex.php?latex=p_%7Bn%5Clambda%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='p_{n\lambda}' title='p_{n\lambda}' class='latex' /> give an obvious choice of basis, but there is no reason to favor them: for example, <img src='http://l.wordpress.com/latex.php?latex=%5C%7B+p_%7B%282n%29%7D+%2B+p_%7B%28n%2Cn%29%7D%2C+p_%7B%282n%29%7D+-+p_%7B%28n%2Cn%29%7D+%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\{ p_{(2n)} + p_{(n,n)}, p_{(2n)} - p_{(n,n)} \}' title='\{ p_{(2n)} + p_{(n,n)}, p_{(2n)} - p_{(n,n)} \}' class='latex' /> also forms a basis for the highest weight vectors of degree 2. The point is that the Schur functions give a &#8220;natural basis&#8221; for <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}' title='{\cal F}' class='latex' /> in the sense that we have defined our operators in this basis, and the basis of highest weight vectors should have &#8220;nice&#8221; properties with respect to this fixed basis, although it&#8217;s not clear what nice means right now.</p>
<p>The next part is something that I am learning to appreciate: since there is no way to figure out a &#8220;canonical basis&#8221; for the highest weight vectors, we should introduce a new parameter to make the structure of the Fock space representation more rigid. This new parameter is made precise by replacing <img src='http://l.wordpress.com/latex.php?latex=%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\widehat{\mathfrak{sl}_n}' title='\widehat{\mathfrak{sl}_n}' class='latex' /> by its q-analogue <img src='http://l.wordpress.com/latex.php?latex=U_q%28%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='U_q(\widehat{\mathfrak{sl}_n})' title='U_q(\widehat{\mathfrak{sl}_n})' class='latex' />, and similarly for <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}' title='{\cal F}' class='latex' />. More precisely, we can&#8217;t deform the Lie algebra, but we can deform its universal enveloping algebra. The quantum group <img src='http://l.wordpress.com/latex.php?latex=U_q%28%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='U_q(\widehat{\mathfrak{sl}_n})' title='U_q(\widehat{\mathfrak{sl}_n})' class='latex' /> has generators <img src='http://l.wordpress.com/latex.php?latex=E_i%2C+F_i%2C+K_i%2C+K_i%5E%7B-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='E_i, F_i, K_i, K_i^{-1}' title='E_i, F_i, K_i, K_i^{-1}' class='latex' />, and <img src='http://l.wordpress.com/latex.php?latex=D%2C+D%5E%7B-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='D, D^{-1}' title='D, D^{-1}' class='latex' /> and even more relations than <img src='http://l.wordpress.com/latex.php?latex=%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\widehat{\mathfrak{sl}_n}' title='\widehat{\mathfrak{sl}_n}' class='latex' /> has, so rather than give those, I just want to mention how to change the action on <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}' title='{\cal F}' class='latex' />. Let q be a transcendental element over K, and let K(q) be the function field over K. We set <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D_q+%3D+%7B%5Ccal+F%7D+%5Cotimes_K+K%28q%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}_q = {\cal F} \otimes_K K(q)' title='{\cal F}_q = {\cal F} \otimes_K K(q)' class='latex' />, and to get the actions of the <img src='http://l.wordpress.com/latex.php?latex=E_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='E_i' title='E_i' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=F_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='F_i' title='F_i' class='latex' /> on <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}_q' title='{\cal F}_q' class='latex' />, we&#8217;ll use almost the same formulas as above, but we&#8217;ll need a bit more partition notation. </p>
<p>Given a partition, a box is <b>removable</b> (resp. <b>indent</b>) if it can be removed (resp. added) to obtain another Young diagram. Let <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' /> be two partitions such that <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> is obtained from <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' /> by adding an i-node <img src='http://l.wordpress.com/latex.php?latex=%5Cgamma&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\gamma' title='\gamma' class='latex' /> to it. Let <img src='http://l.wordpress.com/latex.php?latex=I%5Er_i%28%5Clambda%2C+%5Cmu%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='I^r_i(\lambda, \mu)' title='I^r_i(\lambda, \mu)' class='latex' /> (resp. <img src='http://l.wordpress.com/latex.php?latex=R%5Er_i%28%5Clambda%2C+%5Cmu%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='R^r_i(\lambda, \mu)' title='R^r_i(\lambda, \mu)' class='latex' />) be the number of indent i-nodes of <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' /> (resp. number of removable i-nodes of <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' />) which are strictly to the right of <img src='http://l.wordpress.com/latex.php?latex=%5Cgamma&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\gamma' title='\gamma' class='latex' />. Also set <img src='http://l.wordpress.com/latex.php?latex=N%5Er_i%28%5Clambda%2C+%5Cmu%29+%3D+I%5Er_i%28%5Clambda%2C+%5Cmu%29+-+R%5Er_i%28%5Clambda%2C+%5Cmu%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='N^r_i(\lambda, \mu) = I^r_i(\lambda, \mu) - R^r_i(\lambda, \mu)' title='N^r_i(\lambda, \mu) = I^r_i(\lambda, \mu) - R^r_i(\lambda, \mu)' class='latex' />. Define the same numbers with the superscript r replaced by l by replacing &#8220;right&#8221; with &#8220;left.&#8221; Then we set <img src='http://l.wordpress.com/latex.php?latex=F_is_%5Clambda+%3D+%5Csum_%5Cmu+q%5E%7BN_i%5Er%28%5Clambda%2C+%5Cmu%29%7D+s_%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='F_is_\lambda = \sum_\mu q^{N_i^r(\lambda, \mu)} s_\mu' title='F_is_\lambda = \sum_\mu q^{N_i^r(\lambda, \mu)} s_\mu' class='latex' /> (resp. <img src='http://l.wordpress.com/latex.php?latex=E_is_%5Cnu+%3D+%5Csum_%5Cmu+q%5E%7B-N_i%5El%28%5Cmu%2C+%5Cnu%29%7D+s_%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='E_is_\nu = \sum_\mu q^{-N_i^l(\mu, \nu)} s_\mu' title='E_is_\nu = \sum_\mu q^{-N_i^l(\mu, \nu)} s_\mu' class='latex' />) where the sum is over all <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=%5Cmu+%2F+%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu / \lambda' title='\mu / \lambda' class='latex' /> is an i-node (resp. <img src='http://l.wordpress.com/latex.php?latex=%5Cmu+%2F+%5Cnu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu / \nu' title='\mu / \nu' class='latex' /> is an i-node). We also set <img src='http://l.wordpress.com/latex.php?latex=D%5E%7B%5Cpm%7Ds_%5Clambda+%3D+q%5E%7B%5Cpm+N_0%28%5Clambda%29%7Ds_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='D^{\pm}s_\lambda = q^{\pm N_0(\lambda)}s_\lambda' title='D^{\pm}s_\lambda = q^{\pm N_0(\lambda)}s_\lambda' class='latex' /> and define <img src='http://l.wordpress.com/latex.php?latex=K%5E%7B%5Cpm%7D_is_%5Clambda+%3D+q%5E%7B%5Cpm+K%28i%2C+%5Clambda%29%7Ds_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='K^{\pm}_is_\lambda = q^{\pm K(i, \lambda)}s_\lambda' title='K^{\pm}_is_\lambda = q^{\pm K(i, \lambda)}s_\lambda' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=K%28i%2C+%5Clambda%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='K(i, \lambda)' title='K(i, \lambda)' class='latex' /> is the number of removable and indent i-nodes of <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' />. And we can take the quantum group <img src='http://l.wordpress.com/latex.php?latex=U_q%28%5Cwidehat%7B%5Cmathfrak%7Bsl%7D_n%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='U_q(\widehat{\mathfrak{sl}_n})' title='U_q(\widehat{\mathfrak{sl}_n})' class='latex' /> to be the K(q) algebra spanned by these generators.</p>
<p>We&#8217;ll use a family of operators <img src='http://l.wordpress.com/latex.php?latex=V_k&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='V_k' title='V_k' class='latex' /> to find a nice basis. To define their actions, we need some definitions about ribbons. First, an <b>m-ribbon</b> is a connected skew Young diagram with m boxes which does not contain a <img src='http://l.wordpress.com/latex.php?latex=2+%5Ctimes+2&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='2 \times 2' title='2 \times 2' class='latex' /> square. The most northeast box of an m-ribbon is called its <b>origin</b>. Its <b>spin</b> is the number of rows it has minus 1. A connected union of m-ribbons is a <b>horizontal m-ribbon strip</b> if it is a skew Young diagram, and if the origin of each ribbon does not lie below another box in the same column. The <b>weight</b> of a horizontal m-ribbon strip is the number of m-ribbons used to build it. Any tiling of a horizontal m-ribbon strip subject to these constraints is unique, so we can define the <b>spin</b> of a horizontal m-ribbon strip to be the sum of the spins of its ribbons. We define <img src='http://l.wordpress.com/latex.php?latex=V_k+s_%5Clambda+%3D+%5Csum_%5Cmu+%28-q%29%5E%7B%7B%5Crm+spin%7D%28%5Cmu%2F%5Clambda%29%7D+s_%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='V_k s_\lambda = \sum_\mu (-q)^{{\rm spin}(\mu/\lambda)} s_\mu' title='V_k s_\lambda = \sum_\mu (-q)^{{\rm spin}(\mu/\lambda)} s_\mu' class='latex' /> where the sum is over all <img src='http://l.wordpress.com/latex.php?latex=%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu' title='\mu' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=%5Cmu+%2F+%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu / \lambda' title='\mu / \lambda' class='latex' /> is a horizontal n-ribbon strip of weight k. This sort of looks like the definitions one uses to define the Murnaghan&#8211;Nakayama rule for multiplying a Schur function and power sum symmetric function. In fact, in the classical limit &#8220;q=1&#8243;, <img src='http://l.wordpress.com/latex.php?latex=V_k&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='V_k' title='V_k' class='latex' /> reduces to multiplication by the plethysm <img src='http://l.wordpress.com/latex.php?latex=h_n+%5Ccirc+p_k+%3D+h_n%28x_1%5Ek%2C+x_2%5Ek%2C+%5Cdots+%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='h_n \circ p_k = h_n(x_1^k, x_2^k, \dots )' title='h_n \circ p_k = h_n(x_1^k, x_2^k, \dots )' class='latex' />.</p>
<p>We introduce a K-linear bar involution on <img src='http://l.wordpress.com/latex.php?latex=K%28q%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='K(q)' title='K(q)' class='latex' /> via <img src='http://l.wordpress.com/latex.php?latex=q+%5Cmapsto+q%5E%7B-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q \mapsto q^{-1}' title='q \mapsto q^{-1}' class='latex' />, and then extend this to a compatible K-linear involution <img src='http://l.wordpress.com/latex.php?latex=x+%5Cmapsto+%5Coverline%7Bx%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='x \mapsto \overline{x}' title='x \mapsto \overline{x}' class='latex' /> on <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}_q' title='{\cal F}_q' class='latex' /> by requiring that it commute with the actions of <img src='http://l.wordpress.com/latex.php?latex=F_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='F_i' title='F_i' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=V_k&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='V_k' title='V_k' class='latex' /> on <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}_q' title='{\cal F}_q' class='latex' />, and that it fixes the basis vector <img src='http://l.wordpress.com/latex.php?latex=s_%5Cemptyset&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_\emptyset' title='s_\emptyset' class='latex' />. Let L (resp. <img src='http://l.wordpress.com/latex.php?latex=L%5E-&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='L^-' title='L^-' class='latex' />) be the free <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+Z%7D%5Bq%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf Z}[q]' title='{\bf Z}[q]' class='latex' />-submodule (resp. <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+Z%7D%5Bq%5E%7B-1%7D%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf Z}[q^{-1}]' title='{\bf Z}[q^{-1}]' class='latex' />-submodule) of <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}_q' title='{\cal F}_q' class='latex' /> spanned by the basis <img src='http://l.wordpress.com/latex.php?latex=%5C%7Bs_%5Clambda%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\{s_\lambda\}' title='\{s_\lambda\}' class='latex' />. Then we have the following theorem.</p>
<p><b>Theorem.</b> There exist two unique bar-invariant bases <img src='http://l.wordpress.com/latex.php?latex=B+%3D+%5C%7BG%28%5Clambda%29%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='B = \{G(\lambda)\}' title='B = \{G(\lambda)\}' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=B%5E-+%3D+%5C%7BG%5E-%28%5Clambda%29%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='B^- = \{G^-(\lambda)\}' title='B^- = \{G^-(\lambda)\}' class='latex' /> of <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}_q' title='{\cal F}_q' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=G%28%5Clambda%29+%3D+s_%5Clambda+%5Cpmod+%7BqL%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G(\lambda) = s_\lambda \pmod {qL}' title='G(\lambda) = s_\lambda \pmod {qL}' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=G%5E-%28%5Clambda%29+%3D+s_%5Clambda+%5Cpmod+%7Bq%5E%7B-1%7DL%5E-%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G^-(\lambda) = s_\lambda \pmod {q^{-1}L^-}' title='G^-(\lambda) = s_\lambda \pmod {q^{-1}L^-}' class='latex' />.</p>
<p>The two bases are called the <b>canonical basis</b> and <b>dual canonical basis</b> of <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D_q&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}_q' title='{\cal F}_q' class='latex' />. They have a lot of nice properties. Going back to highest weight vectors, it turns out that <img src='http://l.wordpress.com/latex.php?latex=G%5E-%28n%5Clambda%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G^-(n\lambda)' title='G^-(n\lambda)' class='latex' /> is a highest weight vector for all <img src='http://l.wordpress.com/latex.php?latex=%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda' title='\lambda' class='latex' />. Furthermore, &#8220;setting <img src='http://l.wordpress.com/latex.php?latex=q%3D1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q=1' title='q=1' class='latex' />&#8221; this basis of highest weight vectors reduces to the plethysms <img src='http://l.wordpress.com/latex.php?latex=s_%5Clambda+%5Ccirc+p_n+%3D+s_%5Clambda%28x_1%5En%2C+x_2%5En%2C+%5Cdots%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='s_\lambda \circ p_n = s_\lambda(x_1^n, x_2^n, \dots)' title='s_\lambda \circ p_n = s_\lambda(x_1^n, x_2^n, \dots)' class='latex' /> (this is related to the classical limit of the operators <img src='http://l.wordpress.com/latex.php?latex=V_k&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='V_k' title='V_k' class='latex' />). Since it comes from a more &#8220;rigid&#8221; basis, we might be satisfied with this choice for a basis of highest weight vectors in <img src='http://l.wordpress.com/latex.php?latex=%7B%5Ccal+F%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\cal F}' title='{\cal F}' class='latex' />. Another nice property which happens with canonical bases is a nonnegativity property: write <img src='http://l.wordpress.com/latex.php?latex=G%28%5Cmu%29+%3D+%5Csum_%5Clambda+d_%7B%5Clambda%2C+%5Cmu%7D%28q%29+s_%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G(\mu) = \sum_\lambda d_{\lambda, \mu}(q) s_\lambda' title='G(\mu) = \sum_\lambda d_{\lambda, \mu}(q) s_\lambda' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=G%5E-%28%5Clambda%29+%3D+%5Csum_%5Cmu+e_%7B%5Clambda%2C+%5Cmu%7D%28-q%5E%7B-1%7D%29+s_%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G^-(\lambda) = \sum_\mu e_{\lambda, \mu}(-q^{-1}) s_\mu' title='G^-(\lambda) = \sum_\mu e_{\lambda, \mu}(-q^{-1}) s_\mu' class='latex' /> where the d and e are polynomials. </p>
<p><b>Theorem.</b>The polynomials d and e have nonnegative coefficients as polynomials in q. Furthermore, <img src='http://l.wordpress.com/latex.php?latex=d_%7B%5Clambda%2C+%5Cmu%7D%28q%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='d_{\lambda, \mu}(q)' title='d_{\lambda, \mu}(q)' class='latex' /> is nonzero only if <img src='http://l.wordpress.com/latex.php?latex=%5Clambda+%5Cle+%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda \le \mu' title='\lambda \le \mu' class='latex' /> and similarly, <img src='http://l.wordpress.com/latex.php?latex=e_%7B%5Clambda%2C+%5Cmu%7D%28q%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='e_{\lambda, \mu}(q)' title='e_{\lambda, \mu}(q)' class='latex' /> is nonzero only if <img src='http://l.wordpress.com/latex.php?latex=%5Cmu+%5Cle+%5Clambda&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mu \le \lambda' title='\mu \le \lambda' class='latex' />.</p>
<p>Here we are using the dominance order on partitions: <img src='http://l.wordpress.com/latex.php?latex=%5Clambda+%5Cle+%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda \le \mu' title='\lambda \le \mu' class='latex' /> if <img src='http://l.wordpress.com/latex.php?latex=%5Clambda+-+%5Cmu&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\lambda - \mu' title='\lambda - \mu' class='latex' /> can be written as a nonnegative linear combination of vectors <img src='http://l.wordpress.com/latex.php?latex=%5Cvarepsilon_i+-+%5Cvarepsilon_%7Bi%2B1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\varepsilon_i - \varepsilon_{i+1}' title='\varepsilon_i - \varepsilon_{i+1}' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=%5Cvarepsilon_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\varepsilon_i' title='\varepsilon_i' class='latex' /> is the vector with a 1 in the ith coordinate and 0s in the other coordinates.</p>
<p>There is a bunch of other stuff which Leclerc discusses in the paper, like connections to Kazhdan-Lusztig polynomials and Macdonald polynomials, which illustrates why these canonical bases and their change of basis matrices are important, but I&#8217;ll stop here.  </p>
<p>-Steven</p>
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		<media:content url="" medium="image">
			<media:title type="html">masnevets</media:title>
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		<title>Tannaka–Krein duality</title>
		<link>http://concretenonsense.wordpress.com/2009/05/16/tannaka%e2%80%93krein-duality/</link>
		<comments>http://concretenonsense.wordpress.com/2009/05/16/tannaka%e2%80%93krein-duality/#comments</comments>
		<pubDate>Sat, 16 May 2009 01:17:15 +0000</pubDate>
		<dc:creator>Steven Sam</dc:creator>
				<category><![CDATA[Representation Theory]]></category>
		<category><![CDATA[duality theorems]]></category>
		<category><![CDATA[linear representations]]></category>

		<guid isPermaLink="false">http://concretenonsense.wordpress.com/?p=470</guid>
		<description><![CDATA[In this post, I want to discuss to what extent a group&#8217;s character table determines it up to isomorphism.
First, let&#8217;s do the easy case of Abelian groups. The set of characters of an Abelian group G is itself a group called  given by pointwise multiplication. In fact, G is isomorphic to  (though not [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=concretenonsense.wordpress.com&blog=2918042&post=470&subd=concretenonsense&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>In this post, I want to discuss to what extent a group&#8217;s <a href="http://en.wikipedia.org/wiki/Character_table">character table</a> determines it up to isomorphism.</p>
<p>First, let&#8217;s do the easy case of Abelian groups. The set of characters of an Abelian group G is itself a group called <img src='http://l.wordpress.com/latex.php?latex=G%5E%5Cvee&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G^\vee' title='G^\vee' class='latex' /> given by pointwise multiplication. In fact, G is isomorphic to <img src='http://l.wordpress.com/latex.php?latex=G%5E%5Cvee&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G^\vee' title='G^\vee' class='latex' /> (though not canonically) as follows: we can write <img src='http://l.wordpress.com/latex.php?latex=G+%5Ccong+%7B%5Cbf+Z%7D%2Fq_1+%5Coplus+%5Ccdots+%5Coplus+%7B%5Cbf+Z%7D%2Fq_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G \cong {\bf Z}/q_1 \oplus \cdots \oplus {\bf Z}/q_n' title='G \cong {\bf Z}/q_1 \oplus \cdots \oplus {\bf Z}/q_n' class='latex' /> where the <img src='http://l.wordpress.com/latex.php?latex=q_j&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q_j' title='q_j' class='latex' /> are prime powers. Fix generators for each cyclic summand. For each j, the function <img src='http://l.wordpress.com/latex.php?latex=f_j+%5Ccolon+G+%5Cto+%7B%5Cbf+C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='f_j \colon G \to {\bf C}' title='f_j \colon G \to {\bf C}' class='latex' /> given by sending the generator of <img src='http://l.wordpress.com/latex.php?latex=%7B%5Cbf+Z%7D%2Fq_j&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='{\bf Z}/q_j' title='{\bf Z}/q_j' class='latex' /> to <img src='http://l.wordpress.com/latex.php?latex=%5Ctext%7Bexp%7D%282%5Cpi+i%2Fq_j%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\text{exp}(2\pi i/q_j)' title='\text{exp}(2\pi i/q_j)' class='latex' /> gives an element of order <img src='http://l.wordpress.com/latex.php?latex=q_j&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='q_j' title='q_j' class='latex' /> in <img src='http://l.wordpress.com/latex.php?latex=G%5E%5Cvee&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G^\vee' title='G^\vee' class='latex' />, and the map <img src='http://l.wordpress.com/latex.php?latex=G+%5Cto+G%5E%5Cvee&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G \to G^\vee' title='G \to G^\vee' class='latex' /> given by <img src='http://l.wordpress.com/latex.php?latex=%28a_1%2C+%5Cdots%2C+a_n%29+%5Cmapsto+%28f_1%5E%7Ba_1%7D%2C+%5Cdots%2C+f_n%5E%7Ba_n%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='(a_1, \dots, a_n) \mapsto (f_1^{a_1}, \dots, f_n^{a_n})' title='(a_1, \dots, a_n) \mapsto (f_1^{a_1}, \dots, f_n^{a_n})' class='latex' /> is injective. Since the number of characters of G is equal to the order of G, we conclude that it is an isomorphism. To do this canonically (without picking the direct sum decomposition), we can just do it twice (picking the decomposition twice ends up cancelling the fact that we made a choice), and we get an isomorphism <img src='http://l.wordpress.com/latex.php?latex=G+%5Cto+%28G%5E%5Cvee%29%5E%5Cvee&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G \to (G^\vee)^\vee' title='G \to (G^\vee)^\vee' class='latex' /> by sending x to the character of <img src='http://l.wordpress.com/latex.php?latex=G%5E%5Cvee&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G^\vee' title='G^\vee' class='latex' /> defined by evaluation: <img src='http://l.wordpress.com/latex.php?latex=%5Cpsi+%5Cmapsto+%5Cpsi%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\psi \mapsto \psi(x)' title='\psi \mapsto \psi(x)' class='latex' />. This is a special instance of <a href="http://en.wikipedia.org/wiki/Pontryagin_duality">Pontryagin duality</a>, which holds more generally for any locally compact Abelian group. So we know that the characters determine the group up to isomorphism in this case.</p>
<p>Now let&#8217;s look at the noncommutative case. The first value of n for which there exist two nonisomorphic noncommutative groups of order n is 8, in which case we have the dihedral group <img src='http://l.wordpress.com/latex.php?latex=D_4&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='D_4' title='D_4' class='latex' /> which is the symmetries of the square, and the quaternion group <img src='http://l.wordpress.com/latex.php?latex=Q_8&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='Q_8' title='Q_8' class='latex' />.<br />
<span id="more-470"></span><br />
The group <img src='http://l.wordpress.com/latex.php?latex=D_4&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='D_4' title='D_4' class='latex' /> has the presentation <img src='http://l.wordpress.com/latex.php?latex=%5Clangle+a%2Cb+%5Cmid+a%5E4+%3D+b%5E2+%3D+1%2C%5C+b%5E%7B-1%7Dab+%3D+a%5E%7B-1%7D+%5Crangle&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\langle a,b \mid a^4 = b^2 = 1,\ b^{-1}ab = a^{-1} \rangle' title='\langle a,b \mid a^4 = b^2 = 1,\ b^{-1}ab = a^{-1} \rangle' class='latex' />. For a character, we need to pick a fourth root of unity for a, along with a sign for b, and the relation <img src='http://l.wordpress.com/latex.php?latex=b%5E%7B-1%7Dab+%3D+a%5E%7B-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='b^{-1}ab = a^{-1}' title='b^{-1}ab = a^{-1}' class='latex' /> becomes <img src='http://l.wordpress.com/latex.php?latex=a%5E2+%3D+1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='a^2 = 1' title='a^2 = 1' class='latex' />. Hence we see the four characters: assign <img src='http://l.wordpress.com/latex.php?latex=%5Cpm+1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\pm 1' title='\pm 1' class='latex' /> to a and b in all possible ways. The other representation can be defined by sending a and b to the matrices <img src='http://l.wordpress.com/latex.php?latex=%5Cleft%5B+%5Cbegin%7Bmatrix%7D+i+%26+0+%5C%5C+0+%26+-i+%5Cend%7Bmatrix%7D+%5Cright%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\left[ \begin{matrix} i &amp; 0 \\ 0 &amp; -i \end{matrix} \right]' title='\left[ \begin{matrix} i &amp; 0 \\ 0 &amp; -i \end{matrix} \right]' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Cleft%5B+%5Cbegin%7Bmatrix%7D+0+%26+1+%5C%5C+1+%26+0+%5Cend%7Bmatrix%7D+%5Cright%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\left[ \begin{matrix} 0 &amp; 1 \\ 1 &amp; 0 \end{matrix} \right]' title='\left[ \begin{matrix} 0 &amp; 1 \\ 1 &amp; 0 \end{matrix} \right]' class='latex' />.</p>
<p>The conjugacy classes are <img src='http://l.wordpress.com/latex.php?latex=%5C%7B1%5C%7D%2C+%5C%7Ba%5E2%5C%7D%2C+%5C%7Ba%2Ca%5E3%5C%7D%2C+%5C%7Bb%2Ca%5E2b%5C%7D%2C+%5C%7Bab%2C+a%5E3b%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\{1\}, \{a^2\}, \{a,a^3\}, \{b,a^2b\}, \{ab, a^3b\}' title='\{1\}, \{a^2\}, \{a,a^3\}, \{b,a^2b\}, \{ab, a^3b\}' class='latex' />, so we get the following character table:<br />
<img src='http://l.wordpress.com/latex.php?latex=%5Cbegin%7Barray%7D%7Bccccc%7D+1+%26+1+%26+1+%26+1+%26+1+%5C%5C+1+%26+1+%26+1+%26+-1+%26+-1+%5C%5C+1+%26+1+%26+-1+%26+1+%26+-1+%5C%5C+1+%26+1+%26+-1+%26+-1+%26+1+%5C%5C+2+%26+-2+%26+0+%26+0+%26+0+%5Cend%7Barray%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\begin{array}{ccccc} 1 &amp; 1 &amp; 1 &amp; 1 &amp; 1 \\ 1 &amp; 1 &amp; 1 &amp; -1 &amp; -1 \\ 1 &amp; 1 &amp; -1 &amp; 1 &amp; -1 \\ 1 &amp; 1 &amp; -1 &amp; -1 &amp; 1 \\ 2 &amp; -2 &amp; 0 &amp; 0 &amp; 0 \end{array}' title='\begin{array}{ccccc} 1 &amp; 1 &amp; 1 &amp; 1 &amp; 1 \\ 1 &amp; 1 &amp; 1 &amp; -1 &amp; -1 \\ 1 &amp; 1 &amp; -1 &amp; 1 &amp; -1 \\ 1 &amp; 1 &amp; -1 &amp; -1 &amp; 1 \\ 2 &amp; -2 &amp; 0 &amp; 0 &amp; 0 \end{array}' class='latex' /></p>
<p>For the quaternions, we use the presentation <img src='http://l.wordpress.com/latex.php?latex=Q_8+%3D+%5Clangle+a%2C+b+%5Cmid+a%5E4+%3D+1%2C%5C+b%5E2+%3D+a%5E2%2C%5C+b%5E%7B-1%7Dab+%3D+a%5E%7B-1%7D+%5Crangle&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='Q_8 = \langle a, b \mid a^4 = 1,\ b^2 = a^2,\ b^{-1}ab = a^{-1} \rangle' title='Q_8 = \langle a, b \mid a^4 = 1,\ b^2 = a^2,\ b^{-1}ab = a^{-1} \rangle' class='latex' />. Comparing with the usual definition as <img src='http://l.wordpress.com/latex.php?latex=%5C%7B%5Cpm+1%2C+%5Cpm+i%2C+%5Cpm+j%2C+%5Cpm+k%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\{\pm 1, \pm i, \pm j, \pm k\}' title='\{\pm 1, \pm i, \pm j, \pm k\}' class='latex' />, we can take a=i and b=j. This presentation shows that images of (a,b) under the 4 characters must be <img src='http://l.wordpress.com/latex.php?latex=%5C%7B%281%2C1%29%2C+%281%2C-1%29%2C+%28-1%2C1%29%2C+%28-1%2C-1%29%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\{(1,1), (1,-1), (-1,1), (-1,-1)\}' title='\{(1,1), (1,-1), (-1,1), (-1,-1)\}' class='latex' />. For the 2-dimensional representation, we can use the standard matrix representation of the quaternions: <img src='http://l.wordpress.com/latex.php?latex=i+%5Cmapsto+%5Cleft%5B+%5Cbegin%7Bmatrix%7D+i+%26+0+%5C%5C+0+%26+i+%5Cend%7Bmatrix%7D+%5Cright%5D%2C%5C+j+%5Cmapsto+%5Cleft%5B+%5Cbegin%7Bmatrix%7D+0+%26+1+%5C%5C+-1+%26+0+%5Cend%7Bmatrix%7D+%5Cright%5D%2C%5C+k+%5Cmapsto+%5Cleft%5B+%5Cbegin%7Bmatrix%7D+0+%26+i+%5C%5C+i+%26+0+%5Cend%7Bmatrix%7D+%5Cright%5D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='i \mapsto \left[ \begin{matrix} i &amp; 0 \\ 0 &amp; i \end{matrix} \right],\ j \mapsto \left[ \begin{matrix} 0 &amp; 1 \\ -1 &amp; 0 \end{matrix} \right],\ k \mapsto \left[ \begin{matrix} 0 &amp; i \\ i &amp; 0 \end{matrix} \right]' title='i \mapsto \left[ \begin{matrix} i &amp; 0 \\ 0 &amp; i \end{matrix} \right],\ j \mapsto \left[ \begin{matrix} 0 &amp; 1 \\ -1 &amp; 0 \end{matrix} \right],\ k \mapsto \left[ \begin{matrix} 0 &amp; i \\ i &amp; 0 \end{matrix} \right]' class='latex' />.</p>
<p>The conjugacy classes are <img src='http://l.wordpress.com/latex.php?latex=%5C%7B1%5C%7D%2C+%5C%7Ba%5E2%5C%7D%2C+%5C%7Ba%2Ca%5E3+%5C%7D%2C+%5C%7Bb%2Ca%5E2b%5C%7D%2C+%5C%7Bab%2Ca%5E3b%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\{1\}, \{a^2\}, \{a,a^3 \}, \{b,a^2b\}, \{ab,a^3b\}' title='\{1\}, \{a^2\}, \{a,a^3 \}, \{b,a^2b\}, \{ab,a^3b\}' class='latex' />. This looks familiar, and in fact, the character table is exactly the same as that of <img src='http://l.wordpress.com/latex.php?latex=D_4&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='D_4' title='D_4' class='latex' />.</p>
<p>So there is no hope of recovering the group from its character table, but in fact, one can reconstruct the group from its representations. More precisely, we need to look at the category of its representations Rep(G). So far it still looks bad because the dimensions of the hom spaces are given by inner product of characters, and the tensor product is given by multiplication, so there must be some additional information in there somewhere. In fact there is, as Tannaka pointed out. We consider not just Rep(G), but also its forgetful functor F to Vect, the category of finite-dimensional complex vector spaces. First we note that an element x of G gives a natural transformation <img src='http://l.wordpress.com/latex.php?latex=%5Cpi%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\pi(x)' title='\pi(x)' class='latex' /> from F to itself by defining <img src='http://l.wordpress.com/latex.php?latex=%5Cpi%28x%29_V+%5Ccolon+F%28V%29+%5Cto+F%28V%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\pi(x)_V \colon F(V) \to F(V)' title='\pi(x)_V \colon F(V) \to F(V)' class='latex' /> to be multiplication by x whenever V is a representation. This association realizes G as a subgroup of the monoid of natural transformations from F to itself. Is there a way to intrinsically characterize this subgroup?</p>
<p>We notice two more properties of <img src='http://l.wordpress.com/latex.php?latex=%5Cpi%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\pi(x)' title='\pi(x)' class='latex' />. First, it&#8217;s the identity map on the trivial representation of G, and it preserves tensor products in the sense that <img src='http://l.wordpress.com/latex.php?latex=%5Cpi%28x%29_%7BV+%5Cotimes+W%7D+%3D+%5Cpi%28x%29_V+%5Cotimes+%5Cpi%28x%29_W&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\pi(x)_{V \otimes W} = \pi(x)_V \otimes \pi(x)_W' title='\pi(x)_{V \otimes W} = \pi(x)_V \otimes \pi(x)_W' class='latex' /> as maps <img src='http://l.wordpress.com/latex.php?latex=F%28V+%5Cotimes+W%29+%5Cto+F%28V+%5Cotimes+W%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='F(V \otimes W) \to F(V \otimes W)' title='F(V \otimes W) \to F(V \otimes W)' class='latex' /> (we&#8217;ll call both of these properties tensor-preserving). It is also self-conjugate: Given a vector space V, we define a conjugate space <img src='http://l.wordpress.com/latex.php?latex=%5Coverline%7BV%7D+%3D+%5C%7B%5Coverline%7Bx%7D+%5Cmid+x+%5Cin+V%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\overline{V} = \{\overline{x} \mid x \in V\}' title='\overline{V} = \{\overline{x} \mid x \in V\}' class='latex' /> by <img src='http://l.wordpress.com/latex.php?latex=%5Coverline%7Bx%2By%7D+%3D+%5Coverline%7Bx%7D+%2B+%5Coverline%7By%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\overline{x+y} = \overline{x} + \overline{y}' title='\overline{x+y} = \overline{x} + \overline{y}' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=a%5Coverline%7Bx%7D+%3D+%5Coverline%7Ba%7Dx&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='a\overline{x} = \overline{a}x' title='a\overline{x} = \overline{a}x' class='latex' /> for <img src='http://l.wordpress.com/latex.php?latex=a+%5Cin+%7B%5Cbf+C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='a \in {\bf C}' title='a \in {\bf C}' class='latex' />. Then if V is a representation, then so is <img src='http://l.wordpress.com/latex.php?latex=%5Coverline%7BV%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\overline{V}' title='\overline{V}' class='latex' /> by saying that <img src='http://l.wordpress.com/latex.php?latex=g%5Coverline%7Bx%7D+%3D+%5Coverline%7Bg%7Dx&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='g\overline{x} = \overline{g}x' title='g\overline{x} = \overline{g}x' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=%5Coverline%7Bg%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\overline{g}' title='\overline{g}' class='latex' /> as a matrix is g with its entries conjugated. We can conjugate a natural transformation u by defining <img src='http://l.wordpress.com/latex.php?latex=%5Coverline%7Bu%7D_V%28x%29+%3D+%5Coverline%7Bu_%7B%5Coverline%7BV%7D%7D%28%5Coverline%7Bx%7D%29%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\overline{u}_V(x) = \overline{u_{\overline{V}}(\overline{x})}' title='\overline{u}_V(x) = \overline{u_{\overline{V}}(\overline{x})}' class='latex' /> for V a representation and x in V. In fact, these two properties are enough: Tannaka&#8217;s theorem says that all tensor-preserving self-conjugate natural transformations from F to itself are of the form <img src='http://l.wordpress.com/latex.php?latex=%5Cpi%28x%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\pi(x)' title='\pi(x)' class='latex' /> for some x in G. Just as in the case of Pontryagin duality, Tannaka&#8217;s theorem holds more generally for arbitrary compact groups (one can define a topology on the set of endomorphisms of F).</p>
<p>So where&#8217;s the Krein and where&#8217;s the duality? Given the above information, one should think of Rep(G) as a sort of dual to G, and Krein classified the categories which are of the form Rep(G). Given a category C of vector spaces with a tensor product and an involution (the conjugation above), then C is dual to a compact group G if and only if the following three properties hold:</p>
<ol>
<li> (Identity axoim) There exists I, which is unique up to isomorphism, such that <img src='http://l.wordpress.com/latex.php?latex=A+%5Cotimes+I+%5Ccong+A&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='A \otimes I \cong A' title='A \otimes I \cong A' class='latex' /> for all A.</li>
<li> (Krull–Schmidt axoim) Every V can has a minimal direct sum decomposition (the summands are not isomorphic to nontrivial direct sums).</li>
<li> (Schur&#8217;s lemma axiom) If A and B are minimal (with respect to direct sum), then Hom(A,B) is 1-dimensional if A and B are isomorphic, and is 0 otherwise.</li>
</ol>
<p>Then C = Rep(G) where G is the tensor-preserving self-conjugate endomorphisms of the forgetful functor F.</p>
<p>Things don&#8217;t end here of course, there&#8217;s extensions to quantum groups and algebraic groups (Grothendieck&#8217;s Galois theory), and other things. If I ever learn this stuff, I&#8217;ll try to write a sequel to this post.</p>
<p>-Steven</p>
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		<title>The Borel–Weil–Bott theorem</title>
		<link>http://concretenonsense.wordpress.com/2009/04/15/the-borel%e2%80%93weil%e2%80%93bott-theorem/</link>
		<comments>http://concretenonsense.wordpress.com/2009/04/15/the-borel%e2%80%93weil%e2%80%93bott-theorem/#comments</comments>
		<pubDate>Wed, 15 Apr 2009 01:21:43 +0000</pubDate>
		<dc:creator>Steven Sam</dc:creator>
				<category><![CDATA[Algebraic Geometry]]></category>
		<category><![CDATA[Representation Theory]]></category>
		<category><![CDATA[sheaf cohomology]]></category>
		<category><![CDATA[vector bundles]]></category>

		<guid isPermaLink="false">http://concretenonsense.wordpress.com/?p=395</guid>
		<description><![CDATA[In connection with my last post on the Boij–Söderberg conjectures, I mentioned constructing equivariant supernatural vector bundles and equivariant pure Cohen–Macaulay modules using the Borel–Weil–Bott theorem. So in this post, I&#8217;d like to say something about what this theorem says and next time discuss how it can be used. I learned the stuff on Bott&#8217;s [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=concretenonsense.wordpress.com&blog=2918042&post=395&subd=concretenonsense&ref=&feed=1" />]]></description>
			<content:encoded><![CDATA[<div class='snap_preview'><br /><p>In connection with my last post on the Boij–Söderberg conjectures, I mentioned constructing equivariant supernatural vector bundles and equivariant pure Cohen–Macaulay modules using the Borel–Weil–Bott theorem. So in this post, I&#8217;d like to say something about what this theorem says and next time discuss how it can be used. I learned the stuff on Bott&#8217;s theorem from Jerzy Weyman&#8217;s book <em>Cohomology of Vector Bundles and Syzygies</em> [warning: there are some mistakes in the statement of Bott's theorem for general reductive groups]. Bott&#8217;s theorem is usually stated for a reductive group, but for concreteness we&#8217;ll stick with the general linear group, since that&#8217;s all we&#8217;ll need.</p>
<p>The setup is as follows: k denotes some field of characteristic 0, <img src='http://l.wordpress.com/latex.php?latex=G+%3D+%5Cmathbf%7BGL%7D%28n%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='G = \mathbf{GL}(n)' title='G = \mathbf{GL}(n)' class='latex' />, B is the subgroup of upper triangular matrices, and T is the subgroup of diagonal matrices. Then G/B is the <a href="http://en.wikipedia.org/wiki/Flag_variety">complete flag variety</a> whose k-points correspond to maximal flags <img src='http://l.wordpress.com/latex.php?latex=V_%5Cbullet+%3D+%280+%5Csubset+V_1+%5Csubset+%5Ccdots+%5Csubset+V_n+%3D+k%5En%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='V_\bullet = (0 \subset V_1 \subset \cdots \subset V_n = k^n)' title='V_\bullet = (0 \subset V_1 \subset \cdots \subset V_n = k^n)' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=%5Cdim+V_i+%3D+i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\dim V_i = i' title='\dim V_i = i' class='latex' />. We are interested in realizing representations of G as cohomology groups of line bundles over G/B. But first we&#8217;ll state the relative version of the theorem.<br />
<span id="more-395"></span><br />
For this, let X be any variety (really, X could be any scheme) and <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BE%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{E}' title='\mathcal{E}' class='latex' /> be a vector bundle of rank n over X. We can construct the relative flag variety as follows. For any affine open set U inside of X where we get a trivialization <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BE%7D%7C_U+%3D+U+%5Ctimes+k%5En&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{E}|_U = U \times k^n' title='\mathcal{E}|_U = U \times k^n' class='latex' />, let <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%2CU%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(\mathcal{E},U)' title='\mathrm{Fl}(\mathcal{E},U)' class='latex' /> be the complete flag variety of <img src='http://l.wordpress.com/latex.php?latex=k%5En&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='k^n' title='k^n' class='latex' />. Using the gluing data of <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BE%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{E}' title='\mathcal{E}' class='latex' />, we can also glue together the spaces <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%2C+U%29+%5Ctimes+U&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(\mathcal{E}, U) \times U' title='\mathrm{Fl}(\mathcal{E}, U) \times U' class='latex' /> (on intersections, we have an isomorphism <img src='http://l.wordpress.com/latex.php?latex=k%5En+%5Cto+k%5En&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='k^n \to k^n' title='k^n \to k^n' class='latex' />, and this defines an isomorphism of complete flag varieties) to get a scheme <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(\mathcal{E})' title='\mathrm{Fl}(\mathcal{E})' class='latex' /> which maps to X, call the map h. In fact, h is a locally trivial fibration whose fibers are complete flag varieties. To define the analogues of <img src='http://l.wordpress.com/latex.php?latex=R_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='R_i' title='R_i' class='latex' />, consider the vector bundle <img src='http://l.wordpress.com/latex.php?latex=h%5E%2A%28%5Cmathcal%7BE%7D%29+%3D+%5C%7B%28x%2C+F_%5Cbullet%2C+y%29+%5Cmid+x+%5Cin+X%2C%5C+F_%5Cbullet+%5Cin+%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%29%7C_x%2C%5C+y+%5Cin+%5Cmathcal%7BE%7D%7C_x%5C%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='h^*(\mathcal{E}) = \{(x, F_\bullet, y) \mid x \in X,\ F_\bullet \in \mathrm{Fl}(\mathcal{E})|_x,\ y \in \mathcal{E}|_x\}' title='h^*(\mathcal{E}) = \{(x, F_\bullet, y) \mid x \in X,\ F_\bullet \in \mathrm{Fl}(\mathcal{E})|_x,\ y \in \mathcal{E}|_x\}' class='latex' /> on <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(\mathcal{E})' title='\mathrm{Fl}(\mathcal{E})' class='latex' />. We define <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BR%7D_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{R}_i' title='\mathcal{R}_i' class='latex' /> to be the subbundle of <img src='http://l.wordpress.com/latex.php?latex=h%5E%2A%28E%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='h^*(E)' title='h^*(E)' class='latex' /> consisting of points where <img src='http://l.wordpress.com/latex.php?latex=y+%5Cin+F_i&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='y \in F_i' title='y \in F_i' class='latex' />. Note that if we took X to be a single point (in particular Spec(k)), then <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BE%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{E}' title='\mathcal{E}' class='latex' /> is just a k-vector space, and <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(\mathcal{E})' title='\mathrm{Fl}(\mathcal{E})' class='latex' /> is the usual flag variety. So we can also define, in analogy, <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BL%7D%28%5Calpha%29+%3D+%5Cmathcal%7BR%7D_1%5E%7B-%5Calpha_1%7D+%5Cotimes+%28%5Cmathcal%7BR%7D_2+%2F+%5Cmathcal%7BR%7D_1%29%5E%7B-%5Calpha_2%7D+%5Cotimes+%5Ccdots+%5Cotimes+%28%5Cmathcal%7BE%7D+%2F+%5Cmathcal%7BR%7D_n%29%5E%7B-%5Calpha_n%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{L}(\alpha) = \mathcal{R}_1^{-\alpha_1} \otimes (\mathcal{R}_2 / \mathcal{R}_1)^{-\alpha_2} \otimes \cdots \otimes (\mathcal{E} / \mathcal{R}_n)^{-\alpha_n}' title='\mathcal{L}(\alpha) = \mathcal{R}_1^{-\alpha_1} \otimes (\mathcal{R}_2 / \mathcal{R}_1)^{-\alpha_2} \otimes \cdots \otimes (\mathcal{E} / \mathcal{R}_n)^{-\alpha_n}' class='latex' />.</p>
<p>Now let W be the Weyl group of G, i.e., the normalizer of T in G quotiented by T, in our case W is the symmetric group on n letters. In fact, W is a finite <a href="http://en.wikipedia.org/wiki/Coxeter_group">Coxeter group</a>, and hence is equipped with a <a href="http://en.wikipedia.org/wiki/Length_function">length function</a>, denoted <img src='http://l.wordpress.com/latex.php?latex=%5Cell&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\ell' title='\ell' class='latex' />. For a permutation w, <img src='http://l.wordpress.com/latex.php?latex=%5Cell%28w%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\ell(w)' title='\ell(w)' class='latex' /> is just the minimal number of simple transpositions <img src='http://l.wordpress.com/latex.php?latex=i+%5Cleftrightarrow+i%2B1&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='i \leftrightarrow i+1' title='i \leftrightarrow i+1' class='latex' /> you need when expressing w as a product of them. So W has a natural action on the set of weights of T, and we define a dotted action of W on the weight lattice as follows. First, let <img src='http://l.wordpress.com/latex.php?latex=2%5Crho&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='2\rho' title='2\rho' class='latex' /> be the sum of the positive roots (i.e., the weights that appear when T acts on B via conjugation). In our case, we have <img src='http://l.wordpress.com/latex.php?latex=%5Crho+%3D+%28n-1%2C+n-2%2C+%5Cdots%2C+1%2C+0%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\rho = (n-1, n-2, \dots, 1, 0)' title='\rho = (n-1, n-2, \dots, 1, 0)' class='latex' />. Then for <img src='http://l.wordpress.com/latex.php?latex=w+%5Cin+W&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w \in W' title='w \in W' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Calpha&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\alpha' title='\alpha' class='latex' /> a weight, we set <img src='http://l.wordpress.com/latex.php?latex=w%5E%5Cbullet%28%5Calpha%29+%3D+w%28%5Calpha+%2B+%5Crho%29+-+%5Crho&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w^\bullet(\alpha) = w(\alpha + \rho) - \rho' title='w^\bullet(\alpha) = w(\alpha + \rho) - \rho' class='latex' />. Let <img src='http://l.wordpress.com/latex.php?latex=K_%5Cbeta&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='K_\beta' title='K_\beta' class='latex' /> denote the Weyl functor, or co-Schur functor associated to the weight <img src='http://l.wordpress.com/latex.php?latex=%5Cbeta&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\beta' title='\beta' class='latex' />. I&#8217;ll describe its construction in a later post. For now, it&#8217;s a functorial way of constructing, from E, an irreducible representation of <img src='http://l.wordpress.com/latex.php?latex=%5Cmathbf%7BGL%7D%28E%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathbf{GL}(E)' title='\mathbf{GL}(E)' class='latex' /> of highest weight <img src='http://l.wordpress.com/latex.php?latex=%5Cbeta&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\beta' title='\beta' class='latex' />. We have the following theorem:</p>
<p><strong>Theorem.</strong> With the notation above, one of two mutually exclusive cases occurs:</p>
<ol>
<li>There exists a nonidentity element <img src='http://l.wordpress.com/latex.php?latex=w+%5Cin+S_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w \in S_n' title='w \in S_n' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=w%5E%5Cbullet%28%5Calpha%29+%3D+%5Calpha&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w^\bullet(\alpha) = \alpha' title='w^\bullet(\alpha) = \alpha' class='latex' />. In this case, all <a href="http://en.wikipedia.org/wiki/Higher_direct_image">higher direct images</a> <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BR%7D%5Eih_%2A%28%5Cmathcal%7BL%7D%28%5Calpha%29%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{R}^ih_*(\mathcal{L}(\alpha))' title='\mathrm{R}^ih_*(\mathcal{L}(\alpha))' class='latex' /> vanish.</li>
<li>Otherwise, there is a unique <img src='http://l.wordpress.com/latex.php?latex=w+%5Cin+S_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w \in S_n' title='w \in S_n' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=%5Cbeta+%3D+w%5E%5Cbullet%28%5Calpha%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\beta = w^\bullet(\alpha)' title='\beta = w^\bullet(\alpha)' class='latex' /> is a dominant weight. In this case, if <img src='http://l.wordpress.com/latex.php?latex=i+%5Cne+%5Cell%28w%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='i \ne \ell(w)' title='i \ne \ell(w)' class='latex' />, then <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BR%7D%5Eih_%2A%5Ei%28%5Cmathcal%7BL%7D%28%5Calpha%29%29+%3D+0&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{R}^ih_*^i(\mathcal{L}(\alpha)) = 0' title='\mathrm{R}^ih_*^i(\mathcal{L}(\alpha)) = 0' class='latex' />, and <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BR%7D%5E%7B%5Cell%28w%29%7Dh_%2A%28%5Cmathcal%7BL%7D%28%5Calpha%29%29+%3D+K_%5Cbeta%28%5Cmathcal%7BE%7D%5E%2A%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{R}^{\ell(w)}h_*(\mathcal{L}(\alpha)) = K_\beta(\mathcal{E}^*)' title='\mathrm{R}^{\ell(w)}h_*(\mathcal{L}(\alpha)) = K_\beta(\mathcal{E}^*)' class='latex' /> is an equivariant bundle whose fibers are the dual of the irreducible representation of <img src='http://l.wordpress.com/latex.php?latex=%5Cmathbf%7BGL%7D%28n%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathbf{GL}(n)' title='\mathbf{GL}(n)' class='latex' /> with highest weight <img src='http://l.wordpress.com/latex.php?latex=%5Cbeta&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\beta' title='\beta' class='latex' />.</li>
</ol>
<p>This gives us the cohomology for line bundles over G/B since when X is a point (and hence <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BE%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{E}' title='\mathcal{E}' class='latex' /> is just a vector space), the higher direct images become cohomology groups.</p>
<p>If we assume this theorem, we can use the Leray spectral sequence to extract some information about vector bundles on partial flag varieties. Let <img src='http://l.wordpress.com/latex.php?latex=b+%3D+%280%3Db_0%2C+b_1%2C+%5Cdots%2C+b_r%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='b = (0=b_0, b_1, \dots, b_r)' title='b = (0=b_0, b_1, \dots, b_r)' class='latex' /> be a sequence of increasing numbers, and let <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28b%3B+%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(b; \mathcal{E})' title='\mathrm{Fl}(b; \mathcal{E})' class='latex' /> be the relative partial flag variety (i.e., the fibers are flags <img src='http://l.wordpress.com/latex.php?latex=F_%5Cbullet+%3D+%28F_%7Bi_1%7D+%5Csubset+F_%7Bi_2%7D+%5Csubset+%5Ccdots+%5Csubset+F_%7Bi_r%7D+%5Csubset+k%5En%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='F_\bullet = (F_{i_1} \subset F_{i_2} \subset \cdots \subset F_{i_r} \subset k^n)' title='F_\bullet = (F_{i_1} \subset F_{i_2} \subset \cdots \subset F_{i_r} \subset k^n)' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=%5Cdim+F_%7Bi_j%7D+%3D+b_j&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\dim F_{i_j} = b_j' title='\dim F_{i_j} = b_j' class='latex' />. So we still have the tautological bundles <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BR%7D_%7Bb_i%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{R}_{b_i}' title='\mathcal{R}_{b_i}' class='latex' />. For each r&gt;j&gt;0, let <img src='http://l.wordpress.com/latex.php?latex=%5Calpha%5Ej&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\alpha^j' title='\alpha^j' class='latex' /> be a nonincreasing sequence of numbers of length <img src='http://l.wordpress.com/latex.php?latex=b_j+-+b_%7Bj-1%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='b_j - b_{j-1}' title='b_j - b_{j-1}' class='latex' />, and write <img src='http://l.wordpress.com/latex.php?latex=%5Calpha+%3D+%28%5Calpha%5E1%2C+%5Cdots%2C+%5Calpha%5Er%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\alpha = (\alpha^1, \dots, \alpha^r)' title='\alpha = (\alpha^1, \dots, \alpha^r)' class='latex' /> (this is an n-tuple of numbers, not an r-tuple of sequences). Then we can define a bundle <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BV%7D%28%5Calpha%29+%3D+K_%7B%5Calpha%5E1%7D%28%5Cmathcal%7BR%7D_%7Bb_1%7D%29%5E%2A+%5Cotimes+%5Ccdots+%5Cotimes+K_%7B%5Calpha%5Er%7D%28%5Cmathcal%7BR%7D_%7Bb_r%7D+%2F+%5Cmathcal%7BR%7D_%7Bb_%7Br-1%7D%7D%29%5E%2A&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{V}(\alpha) = K_{\alpha^1}(\mathcal{R}_{b_1})^* \otimes \cdots \otimes K_{\alpha^r}(\mathcal{R}_{b_r} / \mathcal{R}_{b_{r-1}})^*' title='\mathcal{V}(\alpha) = K_{\alpha^1}(\mathcal{R}_{b_1})^* \otimes \cdots \otimes K_{\alpha^r}(\mathcal{R}_{b_r} / \mathcal{R}_{b_{r-1}})^*' class='latex' />. Now Bott&#8217;s theorem is the same as above except <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28b%3B+%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(b; \mathcal{E})' title='\mathrm{Fl}(b; \mathcal{E})' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BV%7D%28%5Calpha%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{V}(\alpha)' title='\mathcal{V}(\alpha)' class='latex' /> replace <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(\mathcal{E})' title='\mathrm{Fl}(\mathcal{E})' class='latex' /> and <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BL%7D%28%5Calpha%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{L}(\alpha)' title='\mathcal{L}(\alpha)' class='latex' />, respectively.</p>
<p>To deduce this version, note that we have a forgetful morphism <img src='http://l.wordpress.com/latex.php?latex=f+%5Ccolon+%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D+%5Cto+%5Cmathrm%7BFl%7D%28b%3B+%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='f \colon \mathrm{Fl}(\mathcal{E} \to \mathrm{Fl}(b; \mathcal{E})' title='f \colon \mathrm{Fl}(\mathcal{E} \to \mathrm{Fl}(b; \mathcal{E})' class='latex' />, which is a locally trivial fibration whose fibers are products of complete flag varieties. On <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BFl%7D%28%5Cmathcal%7BE%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{Fl}(\mathcal{E})' title='\mathrm{Fl}(\mathcal{E})' class='latex' />, we can construct the line bundle <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BL%7D%28%5Calpha%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{L}(\alpha)' title='\mathcal{L}(\alpha)' class='latex' /> as before. Using the relative version of Bott&#8217;s theorem and induction on the number of terms that we forget, we see that <img src='http://l.wordpress.com/latex.php?latex=f_%2A%28%5Cmathcal%7BL%7D%28%5Calpha%29%29+%3D+%5Cmathcal%7BV%7D%28%5Calpha%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='f_*(\mathcal{L}(\alpha)) = \mathcal{V}(\alpha)' title='f_*(\mathcal{L}(\alpha)) = \mathcal{V}(\alpha)' class='latex' />, and its higher direct images vanish because we assumed that each <img src='http://l.wordpress.com/latex.php?latex=%5Calpha%5Ej&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\alpha^j' title='\alpha^j' class='latex' /> was a dominant weight. Letting <img src='http://l.wordpress.com/latex.php?latex=h+%5Ccolon+%5Cmathrm%7BFl%7D%28b%3B+%5Cmathcal%7BE%7D%29+%5Cto+X&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='h \colon \mathrm{Fl}(b; \mathcal{E}) \to X' title='h \colon \mathrm{Fl}(b; \mathcal{E}) \to X' class='latex' /> be the structure map, we can also use the relative Bott&#8217;s theorem to calculate <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BR%7D%5Ei%28hf%29_%2A%28%5Cmathcal%7BL%7D%28%5Calpha%29%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{R}^i(hf)_*(\mathcal{L}(\alpha))' title='\mathrm{R}^i(hf)_*(\mathcal{L}(\alpha))' class='latex' />. Alternatively, we have the Leray spectral sequence <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BE%7D_2%5E%7Bp%2Cq%7D+%3D+%28%5Cmathrm%7BR%7D%5Eph_%2A+%5Ccirc+%5Cmathrm%7BR%7D%5Eqf_%2A%29%28%5Cmathcal%7BL%7D%28%5Calpha%29%29+%5CRightarrow+%5Cmathrm%7BR%7D%5E%7Bp%2Bq%7D%28hf%29_%2A%28%5Cmathcal%7BL%7D%28%5Calpha%29%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{E}_2^{p,q} = (\mathrm{R}^ph_* \circ \mathrm{R}^qf_*)(\mathcal{L}(\alpha)) \Rightarrow \mathrm{R}^{p+q}(hf)_*(\mathcal{L}(\alpha))' title='\mathrm{E}_2^{p,q} = (\mathrm{R}^ph_* \circ \mathrm{R}^qf_*)(\mathcal{L}(\alpha)) \Rightarrow \mathrm{R}^{p+q}(hf)_*(\mathcal{L}(\alpha))' class='latex' />. But we just showed that these terms are 0 for q=0, so the spectral sequence degenerates and we conclude that <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BR%7D%5Eph_%2A%28%5Cmathcal%7BV%7D%28%5Calpha%29%29+%3D+%5Cmathcal%7BR%7D%5Ep%28hf%29_%2A%28%5Cmathcal%7BL%7D%28%5Calpha%29%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{R}^ph_*(\mathcal{V}(\alpha)) = \mathcal{R}^p(hf)_*(\mathcal{L}(\alpha))' title='\mathrm{R}^ph_*(\mathcal{V}(\alpha)) = \mathcal{R}^p(hf)_*(\mathcal{L}(\alpha))' class='latex' />.</p>
<p>I&#8217;ll end this post with what this all says on projective space, and next time I&#8217;ll discuss how we can use this special case to construct equivariant pure modules and supernatural vector bundles.</p>
<p>Over projective space <img src='http://l.wordpress.com/latex.php?latex=%5Cmathbf%7BP%7D%28E%29+%5Ccong+%5Cmathbf%7BP%7D%5E%7Bn-1%7D_k&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathbf{P}(E) \cong \mathbf{P}^{n-1}_k' title='\mathbf{P}(E) \cong \mathbf{P}^{n-1}_k' class='latex' />, the fiber of the tautological bundle <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BR%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{R}' title='\mathcal{R}' class='latex' /> over a point (which is a line in <img src='http://l.wordpress.com/latex.php?latex=E+%5Ccong+k%5En&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='E \cong k^n' title='E \cong k^n' class='latex' />) is the simply the vectors lying in that line. This is also the total space of the dual of the Serre twisting sheaf <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BO%7D_%7B%5Cmathbf%7BP%7D%28E%29%7D%28-1%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{O}_{\mathbf{P}(E)}(-1)' title='\mathcal{O}_{\mathbf{P}(E)}(-1)' class='latex' />. Given the inclusion <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BR%7D+%5Csubset+E+%5Ctimes+%5Cmathbf%7BP%7D%28E%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{R} \subset E \times \mathbf{P}(E)' title='\mathcal{R} \subset E \times \mathbf{P}(E)' class='latex' />, the quotient will be called <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BQ%7D&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{Q}' title='\mathcal{Q}' class='latex' /> and called the tautological quotient. Then our bundles of interest are of the form <img src='http://l.wordpress.com/latex.php?latex=K_u%5Cmathcal%7BR%7D+%5Cotimes+K_%5Calpha+%5Cmathcal%7BQ%7D+%3D+%28K_%5Calpha+%5Cmathcal%7BQ%7D%29%28-u%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='K_u\mathcal{R} \otimes K_\alpha \mathcal{Q} = (K_\alpha \mathcal{Q})(-u)' title='K_u\mathcal{R} \otimes K_\alpha \mathcal{Q} = (K_\alpha \mathcal{Q})(-u)' class='latex' /> where u is an integer and <img src='http://l.wordpress.com/latex.php?latex=%5Calpha+%3D+%28%5Calpha_1+%5Cge+%5Calpha_2+%5Cge+%5Ccdots+%5Cge+%5Calpha_%7Bn-1%7D%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\alpha = (\alpha_1 \ge \alpha_2 \ge \cdots \ge \alpha_{n-1})' title='\alpha = (\alpha_1 \ge \alpha_2 \ge \cdots \ge \alpha_{n-1})' class='latex' />. Note that this is the same <img src='http://l.wordpress.com/latex.php?latex=%5Cmathcal%7BV%7D%28%5Cgamma%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathcal{V}(\gamma)' title='\mathcal{V}(\gamma)' class='latex' /> where <img src='http://l.wordpress.com/latex.php?latex=%5Cgamma+%3D+%28-u%2C+-%5Calpha_%7Bn-1%7D%2C+...%2C+-%5Calpha_1%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\gamma = (-u, -\alpha_{n-1}, ..., -\alpha_1)' title='\gamma = (-u, -\alpha_{n-1}, ..., -\alpha_1)' class='latex' /> by duality. Hence the theorem says</p>
<p><strong>Theorem.</strong> With the notation above, one of two mutually exclusive cases occurs:</p>
<ol>
<li>There exists a nonidentity element <img src='http://l.wordpress.com/latex.php?latex=w+%5Cin+S_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w \in S_n' title='w \in S_n' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=w%5E%5Cbullet%28%5Calpha_1%2C+%5Cdots%2C+%5Calpha_%7Bn-1%7D%2C+u%29+%3D+%5Calpha&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w^\bullet(\alpha_1, \dots, \alpha_{n-1}, u) = \alpha' title='w^\bullet(\alpha_1, \dots, \alpha_{n-1}, u) = \alpha' class='latex' />. In this case, all cohomology groups <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BH%7D%5Ei%28%5Cmathbf%7BP%7D%28E%29%3B+K_%5Calpha%5Cmathcal%7BQ%7D%28-u%29%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{H}^i(\mathbf{P}(E); K_\alpha\mathcal{Q}(-u))' title='\mathrm{H}^i(\mathbf{P}(E); K_\alpha\mathcal{Q}(-u))' class='latex' /> vanish.</li>
<li>Otherwise, there is a unique <img src='http://l.wordpress.com/latex.php?latex=w+%5Cin+S_n&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='w \in S_n' title='w \in S_n' class='latex' /> such that <img src='http://l.wordpress.com/latex.php?latex=%5Cbeta+%3D+w%5E%5Cbullet%28%5Calpha_1%2C+%5Cdots%2C+%5Calpha_%7Bn-1%7D%2C+u%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\beta = w^\bullet(\alpha_1, \dots, \alpha_{n-1}, u)' title='\beta = w^\bullet(\alpha_1, \dots, \alpha_{n-1}, u)' class='latex' /> is nondecreasing. In this case, if <img src='http://l.wordpress.com/latex.php?latex=i+%5Cne+%5Cell%28w%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='i \ne \ell(w)' title='i \ne \ell(w)' class='latex' />, then <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BH%7D%5Ei%28%5Cmathbf%7BP%7D%28E%29%3B+%28K_%5Calpha+%5Cmathcal%7BQ%7D%29%28-u%29%29+%3D+0&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{H}^i(\mathbf{P}(E); (K_\alpha \mathcal{Q})(-u)) = 0' title='\mathrm{H}^i(\mathbf{P}(E); (K_\alpha \mathcal{Q})(-u)) = 0' class='latex' />, and <img src='http://l.wordpress.com/latex.php?latex=%5Cmathrm%7BH%7D%5E%7B%5Cell%28w%29%7D%28%5Cmathbf%7BP%7D%28E%29%3B+%28K_%5Calpha+%5Cmathcal%7BQ%7D%29%28-u%29%29+%3D+K_%5Cbeta%28E%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathrm{H}^{\ell(w)}(\mathbf{P}(E); (K_\alpha \mathcal{Q})(-u)) = K_\beta(E)' title='\mathrm{H}^{\ell(w)}(\mathbf{P}(E); (K_\alpha \mathcal{Q})(-u)) = K_\beta(E)' class='latex' /> is an irreducible representation of <img src='http://l.wordpress.com/latex.php?latex=%5Cmathbf%7BGL%7D%28E%29&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\mathbf{GL}(E)' title='\mathbf{GL}(E)' class='latex' /> with highest weight <img src='http://l.wordpress.com/latex.php?latex=%5Cbeta&#038;bg=ffffff&#038;fg=000000&#038;s=0' alt='\beta' title='\beta' class='latex' />.</li>
</ol>
<p>-Steven</p>
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