Spectral asymptotics for contracted tensor ensembles
Abstract: Let $\mathbf{T}{d, N}: \Omega \to \mathbb{R}{Nd}$ be a random real symmetric Wigner-type tensor. For unit vectors $(u_N{(i, j)}){i \in I, j \in [d-2]} \subset \mathbb{S}{N-1}$, we study the contracted tensor ensemble [ \left(\frac{1}{\sqrt{N}}\mathbf{T}{d, N}\left[u_N{(i, 1)} \otimes \cdots \otimes u_N{(i, d-2)}\right]\right){i \in I}. ] For large $N$, we show that the joint spectral distribution of this ensemble is well-approximated by a semicircular family $(s_i){i \in I}$ whose covariance $(\mathbf{K}{i, i'}{(N)})_{i, i'\in I}$ is given by the rescaled overlaps of the corresponding symmetrized contractions [ \mathbf{K}{i, i'}{(N)} = \frac{1}{d(d-1)}\langle u_N{(i, 1)} \odot \cdots \odot u_N{(i, d-2)}, u_N{(i', 1)} \odot \cdots \odot u_N{(i', d-2)} \rangle, ] which is the true covariance of the ensemble up to a $O_d(N{-1})$ correction. We further characterize the extreme cases of the variance $\mathbf{K}{i, i}{(N)} \in [\frac{1}{d!}, \frac{1}{d(d-1)}]$. Our analysis relies on a tensorial extension of the usual graphical calculus for moment method calculations in random matrix theory, allowing us to access the independence in our random tensor ensemble.
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