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On collision of multiple eigenvalues for matrix-valued Gaussian processes

Probability 2020-06-30 v1

Abstract

For real symmetric and complex Hermitian Gaussian processes whose values are d×dd\times d matrices, we characterize the conditions under which the probability that at least kk eigenvalues collide is positive for 2kd2\le k\le d, and we obtain the Hausdorff dimension of the set of collision times.

Keywords

Cite

@article{arxiv.2006.15839,
  title  = {On collision of multiple eigenvalues for matrix-valued Gaussian processes},
  author = {Jian Song and Yimin Xiao and Wangjun Yuan},
  journal= {arXiv preprint arXiv:2006.15839},
  year   = {2020}
}

Comments

20 pages

R2 v1 2026-06-23T16:41:25.766Z