<div class="func"><table class="func" width="100%"><tr><td class="tdleft"><code class="func">‣ CentralizerBlocksOfRepresentation</code>( <var class="Arg">rho</var> )</td><td class="tdright">( function )</td></tr></table></div>
<p>Returns: List of vector space generators for the centralizer ring of <span class="Math">\rho(G)</span>, written in the basis given by <code class="func">BlockDiagonalBasisOfRepresentation</code> (<a href="chap5.html#X8361AD057AD282AC"><span class="RefLink">5.1-1</span></a>). The matrices are given as a list of blocks.</p>
<p>Let <span class="Math">G</span> have irreducible representations <span class="Math">\rho_i</span> with multiplicities <span class="Math">m_i</span>. The centralizer has dimension <span class="Math">\sum_i m_i^2</span> as a <span class="Math">\mathbb{C}</span>-vector space. This function gives the minimal number of generators required.</p>
<div class="example"><pre>
<span class="GAPprompt">gap></span> <span class="GAPinput">G := DihedralGroup(8);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput">irreps := IrreducibleRepresentations(G);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput"># rho is the sum of two isomorphic degree 1 irreps, and a degree</span>
<span class="GAPprompt">></span> <span class="GAPinput"># 2 irrep.</span>
<span class="GAPprompt">></span> <span class="GAPinput">rho := DirectSumOfRepresentations([irreps[4], irreps[4], irreps[5]]);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput"># Compute a basis for the centralizer (in blocks)</span>
<span class="GAPprompt">></span> <span class="GAPinput">cent_basis_blocks := CentralizerBlocksOfRepresentation(rho);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput"># Verify that the dimension is the sum of the multiplicities squared,</span>
<span class="GAPprompt">></span> <span class="GAPinput"># in this case 2^2 + 1 = 5.</span>
<span class="GAPprompt">></span> <span class="GAPinput">Length(cent_basis_blocks) = 5;</span>
true
</pre></div>
<div class="func"><table class="func" width="100%"><tr><td class="tdleft"><code class="func">‣ CentralizerOfRepresentation</code>( <var class="Arg">arg</var> )</td><td class="tdright">( function )</td></tr></table></div>
<p>Returns: List of vector space generators for the centralizer ring of <span class="Math">\rho(G)</span>.</p>
<p>This gives the same result as <code class="func">CentralizerBlocksOfRepresentation</code> (<a href="chap6.html#X7901B6A7860D35C3"><span class="RefLink">6.1-1</span></a>), but with the matrices given in their entirety: not as lists of blocks, but as full matrices.</p>
<div class="example"><pre>
<span class="GAPprompt">gap></span> <span class="GAPinput"># This is the actual basis for the centralizer.</span>
<span class="GAPprompt">></span> <span class="GAPinput">cent_basis := CentralizerOfRepresentation(rho);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput"># All matrices in the span should commute with the image of rho.</span>
<span class="GAPprompt">></span> <span class="GAPinput">ForAll(G, g -> ForAll(cent_basis, M -> Image(rho, g)*M = M*Image(rho,g)));</span>
true
</pre></div>
<div class="func"><table class="func" width="100%"><tr><td class="tdleft"><code class="func">‣ ClassSumCentralizer</code>( <var class="Arg">rho</var>, <var class="Arg">class</var>, <var class="Arg">cent_basis</var> )</td><td class="tdright">( function )</td></tr></table></div>
<p>Returns: <span class="Math">\sum_{s \in t^G} \rho(s)</span>, where <span class="Math">t</span> is a representative of the conjugacy class <var class="Arg">class</var> of <span class="Math">G</span>.</p>
<p>We require that <var class="Arg">rho</var> is unitary. Uses the given orthonormal basis (with respect to the inner product <span class="Math">\langle A, B \rangle = \mbox{Trace}(AB^*)</span>) for the centralizer ring of <var class="Arg">rho</var> to calculate the sum of the conjugacy class <var class="Arg">class</var> quickly, i.e. without summing over the class.</p>
<p>NOTE: Orthonormality of <var class="Arg">cent_basis</var> and unitarity of <var class="Arg">rho</var> are checked. See <code class="func">ClassSumCentralizerNC</code> (<a href="chap6.html#X78719DC8868B0744"><span class="RefLink">6.2-2</span></a>) for a version of this function without checks. The checks are not very expensive, so it is recommended you use the function with checks.</p>
<div class="example"><pre>
<span class="GAPprompt">gap></span> <span class="GAPinput"># Now we have a basis for the centralizer, we can sum a conjugacy class</span>
<span class="GAPprompt">></span> <span class="GAPinput"># of G.</span>
<span class="GAPprompt">></span> <span class="GAPinput">class := List(ConjugacyClasses(G)[3]);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput"># We can do the computation naively, with no centralizer basis given:</span>
<span class="GAPprompt">></span> <span class="GAPinput">sum1 := ClassSumCentralizer(rho, class, fail);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput"># Before summing with th centralizer basis given, we need to</span>
<span class="GAPprompt">></span> <span class="GAPinput"># orthonormalize it. It's already orthogonal, but not normal:
<span class="GAPprompt">></span> <span class="GAPinput">orth_basis := OrthonormalBasis@RepnDecomp(cent_basis);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput">IsOrthonormalSet(orth_basis, InnerProduct@RepnDecomp);</span>
true
<span class="GAPprompt">gap></span> <span class="GAPinput"># And with the centralizer given, should be more efficient in certain</span>
<span class="GAPprompt">></span> <span class="GAPinput"># cases (small degree, low multiplicities, but very large group)</span>
<span class="GAPprompt">></span> <span class="GAPinput">sum2 := ClassSumCentralizer(rho, class, orth_basis);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput"># Should be the same:</span>
<span class="GAPprompt">></span> <span class="GAPinput">sum1 = sum2;</span>
true
</pre></div>
<div class="func"><table class="func" width="100%"><tr><td class="tdleft"><code class="func">‣ ClassSumCentralizerNC</code>( <var class="Arg">rho</var>, <var class="Arg">class</var>, <var class="Arg">cent_basis</var> )</td><td class="tdright">( function )</td></tr></table></div>
<p>The same as <code class="func">ClassSumCentralizer</code> (<a href="chap6.html#X87E5BAEB82DC00C3"><span class="RefLink">6.2-1</span></a>), but does not check the basis for orthonormality or the representation for unitarity.</p>
<div class="example"><pre>
<span class="GAPprompt">gap></span> <span class="GAPinput"># The very same as the above, but with no checks on orthonormality.</span>
<span class="GAPprompt">></span> <span class="GAPinput">sum3 := ClassSumCentralizerNC(rho, class, orth_basis);;</span>
<span class="GAPprompt">gap></span> <span class="GAPinput">sum1 = sum3;</span>
true
</pre></div>
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