4d. Weingarten formula
Our aim now is to go beyond what we have, with results regarding the truncated characters. Let us start with a general formula coming from Peter-Weyl, namely:
The Haar integration over a closed subgroup [math]G\subset_vU_N[/math] is given on the dense subalgebra of smooth functions by the Weingarten type formula
This is something very standard, coming from the fact that the above integrals form altogether the orthogonal projection [math]P^k[/math] onto the following space:
Consider now the following linear map, with [math]D(k)=\{\xi_k\}[/math] being as in the statement:
By a standard linear algebra computation, it follows that we have [math]P=WE[/math], where [math]W[/math] is the inverse of the restriction of [math]E[/math] to the following space:
But this restriction is the linear map given by the matrix [math]G_k[/math], and so [math]W[/math] is the linear map given by the inverse matrix [math]W_k=G_k^{-1}[/math], and this gives the result.
In the easy case, we have the following more concrete result:
For an easy group [math]G\subset U_N[/math], coming from a category of partitions [math]D=(D(k,l))[/math], we have the Weingarten formula
We use the abstract Weingarten formula, from Theorem 4.40. Indeed, the Kronecker type symbols there are then the usual ones, as shown by:
The Gram matrix being as well the correct one, we obtain the result.
Let us go back now to the general easy groups [math]G\subset U_N[/math], with the idea in mind of computing the laws of truncated characters. First, we have the following formula:
The moments of truncated characters are given by the formula
We have indeed the following computation:
Thus, we have reached to the formula in the statement.
In order to process now the above formula, and reach to concrete results, we must impose on our group a uniformity condition. Let us start with:
For an easy group [math]G=(G_N)[/math], coming from a category of partitions [math]D\subset P[/math], the following conditions are equivalent:
- [math]G_{N-1}=G_N\cap U_{N-1}[/math], via the embedding [math]U_{N-1}\subset U_N[/math] given by [math]u\to diag(u,1)[/math].
- [math]G_{N-1}=G_N\cap U_{N-1}[/math], via the [math]N[/math] possible diagonal embeddings [math]U_{N-1}\subset U_N[/math].
- [math]D[/math] is stable under the operation which consists in removing blocks.
If these conditions are satisfied, we say that [math]G=(G_N)[/math] is uniform.
The equivalence [math](1)\iff(2)[/math] comes from the inclusion [math]S_N\subset G_N[/math], which makes everything [math]S_N[/math]-invariant. Regarding [math](1)\iff(3)[/math], given a subgroup [math]K\subset_vU_{N-1}[/math], consider the matrix [math]u=diag(v,1)[/math]. Our claim is that for any [math]\pi\in P(k)[/math] we have:
In order to prove this claim, we must study the condition on the left. We have:
Now let us recall that our representation has the special form [math]u=diag(v,1)[/math]. We conclude from this that for any index [math]a\in\{1,\ldots,k\}[/math], we have:
With this observation in hand, if we denote by [math]i',j'[/math] the multi-indices obtained from [math]i,j[/math] obtained by erasing all the above [math]i_a=j_a=N[/math] values, and by [math]k'\leq k[/math] the common length of these new multi-indices, our condition becomes:
Here the index [math]j[/math] is by definition obtained from the index [math]j'[/math] by filling with [math]N[/math] values. In order to finish now, we have two cases, depending on [math]i[/math], as follows:
\underline{Case 1}. Assume that the index set [math]\{a|i_a=N\}[/math] corresponds to a certain subpartition [math]\pi'\subset\pi[/math]. In this case, the [math]N[/math] values will not matter, and our formula becomes:
\underline{Case 2}. Assume now the opposite, namely that the set [math]\{a|i_a=N\}[/math] does not correspond to a subpartition [math]\pi'\subset\pi[/math]. In this case the indices mix, and our formula reads [math]0=0[/math]. Thus we have [math]\xi_{\pi'}\in Fix(u^{\otimes k'})[/math] in both cases, for any subpartition [math]\pi'\subset\pi[/math], as desired.
Now back to the laws of truncated characters, we have the following result:
For a uniform easy group [math]G=(G_N)[/math], we have the formula
We use Proposition 4.42. With [math]s=[tN][/math], the formula there becomes:
The point now is that in the uniform case the Gram matrix, and so the Weingarten matrix too, is asymptotically diagonal. Thus, we obtain the following estimate:
Thus, we are led to the formula in the statement.
We can now enlarge our collection of truncated character results, and we have:
With [math]N\to\infty[/math], the laws of truncated characters are as follows:
- For [math]O_N[/math] we obtain the Gaussian law [math]g_t[/math].
- For [math]U_N[/math] we obtain the complex Gaussian law [math]G_t[/math].
- For [math]S_N[/math] we obtain the Poisson law [math]p_t[/math].
- For [math]H_N[/math] we obtain the Bessel law [math]b_t[/math].
- For [math]H_N^s[/math] we obtain the generalized Bessel law [math]b_t^s[/math].
- For [math]K_N[/math] we obtain the complex Bessel law [math]B_t[/math].
We already know these results at [math]t=1[/math]. In the general case, [math]t \gt 0[/math], these follow via some standard combinatorics, from the formula in Theorem 4.44.
General references
Banica, Teo (2024). "Calculus and applications". arXiv:2401.00911 [math.CO].