Universality of the empirical spectral distribution without sub-Gaussianity

Let XX be a random matrix with independent entries conditioned to have general δ\delta-tame margins, and let Theorem (ii) denote the empirical spectral distribution conclusion in the paper.

Non-sub-Gaussian ESD conjecture. The conclusion of Theorem (ii) holds without assuming that the base measure μ\mu is sub-Gaussian.

The conjecture would extend the empirical spectral distribution theorem beyond sub-Gaussian entry laws. The source proposes deriving it using the logarithmic maximum-entry conjecture and truncation; it does not provide a resolution of this general statement.

Sources & referencesView supporting material

Primary source

Hanbaek Lyu and Sumit Mukherjee, “Large random matrices with given margins”, arXiv:2407.14942 (2025).

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