We consider the asymptotic behavior as $n\to\infty$ of the spectra of random matrices of the form \[\frac{ 1}{ \sqrt{ n-1}}\sum_{ k=1}^{ n-1}Z_{ nk}\rho_n ((k,k+1)),\] where for each $n$ the random variables $Z_{ nk}$ are i.i.d. standard Gaussian and the matrices $\rho_n((k,k+1))$ are obtained by applying an irreducible unitary representation $\rho_n$ of the symmetric group on $\{ 1,2,...,n\}$ to the transposition $(k,k+1)$ that interchanges $k$ and $k+1$ [thus, $\rho_n((k,k+1))$ is both unitary and self-adjoint, with all eigenvalues either +1 or -1]. Irreducible representations of the symmetric group on $\{ 1,2,...,n\}$ are indexed by partitions $\lambda_n$ of $n$. A consequence of the results we establish is that if $\lambda_{ n,1}\ge\lambda_{ n,2}\ge...\ge0$ is the partition of $n$ corresponding to $\rho_n$, $\mu_{ n,1}\ge\mu_{ n,2}\ge >...\ge0$ is the corresponding conjugate partition of $n$ (i.e., the Young diagram of $\mu_n$ is the transpose of the Young diagram of $\lambda_n$), $\lim_{ n\to\infty}\frac{ \lambda_{ n,i}}{ n}=p_i$ for each $i\ge1$, and $\lim_{ n\to\infty}\frac{ \mu_{ n,j}}{ n}=q_j$ for each $j\ge1$, then the spectral measure of the resulting random matrix converges in distribution to a random probability measure that is Gaussian with random mean $\theta Z$ and variance $1-\theta^2$, where $\theta$ is the constant $\sum_ip_i^2-\sum_jq_j^2$ and $Z$ is a standard Gaussian random variable.
Categories: math.PR math.RT
