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What is Learnable in Valiant's Theory of the Learnable? 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Eigenvalue Spacing Distribution for the Ensemble of Real Symmetric Toeplitz Matrices
Christopher Hammond, Steven J. Miller · 2003-12-11 · via math.ST updates on arXiv.org

Consider the ensemble of Real Symmetric Toeplitz Matrices, each entry iidrv from a fixed probability distribution p of mean 0, variance 1, and finite higher moments. The limiting spectral measure (the density of normalized eigenvalues) converges weakly to a new universal distribution with unbounded support, independent of p. This distribution's moments are almost those of the Gaussian's; the deficit may be interpreted in terms of Diophantine obstructions. With a little more work, we obtain almost sure convergence. An investigation of spacings between adjacent normalized eigenvalues looks Poissonian, and not GOE.

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