English

On eigenvalues of the Brownian sheet matrix

Probability 2021-03-15 v1

Abstract

We derive a system of stochastic partial differential equations satisfied by the eigenvalues of the symmetric matrix whose entries are the Brownian sheets. We prove that the sequence {Ld(s,t),(s,t)[0,S]×[0,T]}dN\left\{L_{d}(s,t), (s,t)\in[0,S]\times [0,T]\right\}_{d\in\mathbb N} of empirical spectral measures of the rescaled matrices is tight on C([0,S]×[0,T],P(R))C([0,S]\times [0,T], \mathcal P(\mathbb R)) and hence is convergent as dd goes to infinity by Wigner's semicircle law. We also obtain PDEs which are satisfied by the high-dimensional limiting measure.

Keywords

Cite

@article{arxiv.2103.07378,
  title  = {On eigenvalues of the Brownian sheet matrix},
  author = {Jian Song and Yimin Xiao and Wangjun Yuan},
  journal= {arXiv preprint arXiv:2103.07378},
  year   = {2021}
}

Comments

34 pages

R2 v1 2026-06-24T00:04:25.905Z