English

Matrix-valued Bessel processes

Probability 2015-06-24 v4

Abstract

This paper introduces a matrix analog of the Bessel processes, taking values in the closed set EE of real square matrices with nonnegative determinant. They are related to the well-known Wishart processes in a simple way: the latter are obtained from the former via the map xxxx\mapsto x^\top x. The main focus is on existence and uniqueness via the theory of Dirichlet forms. This leads us to develop new results of potential theoretic nature concerning the space of real square matrices. Specifically, the function w(x)=detxαw(x)=|\det x|^\alpha is a weight function in the Muckenhoupt ApA_p class for 1<α0-1<\alpha\le 0 (p=1p=1) and 1<α<p1-1<\alpha<p-1 (p>1p>1). The set of matrices of co-rank at least two has zero capacity with respect to the measure m(dx)=detxαdxm(dx)=|\det x|^\alpha dx if α>1\alpha>-1, and if α1\alpha\ge 1 this even holds for the set of all singular matrices. As a consequence we obtain density results for Sobolev spaces over (the interior of) EE with Neumann boundary conditions. The highly non-convex, non-Lipschitz structure of the state space is dealt with using a combination of geometric and algebraic methods.

Keywords

Cite

@article{arxiv.1212.4986,
  title  = {Matrix-valued Bessel processes},
  author = {Martin Larsson},
  journal= {arXiv preprint arXiv:1212.4986},
  year   = {2015}
}

Comments

This is the final version appearing in EJP

R2 v1 2026-06-21T22:57:52.500Z