Universality of the empirical spectral distribution without sub-Gaussianity
Universality of the empirical spectral distribution without sub-Gaussianity
Let be a random matrix with independent entries conditioned to have general -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 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).
Progress summary
Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.
Solutions 0
Sign in to submit a solution.
No solutions have been posted yet.