Covariation representations for Hermitian L\'{e}vy process ensembles of free infinitely divisible distributions
J. Armando Dom\'inguez-Molina, V\'ictor P\'erez-Abreu, Alfonso, Rocha-Arteaga

TL;DR
This paper explores Hermitian Le9vy processes linked to free infinitely divisible distributions via matrix ensembles, providing path approximations and showing that rank-one jump matrix subordinators are quadratic variations of complex Le9vy processes.
Contribution
It introduces a new connection between matrix subordinators with rank-one jumps and complex Le9vy processes, expanding understanding of free probability and matrix process representations.
Findings
Path approximation by covariation processes for matrix Le9vy processes.
Any rank-one jump matrix subordinator is the quadratic variation of a complex Le9vy process.
Results apply to matrix ensembles associated with free infinitely divisible distributions.
Abstract
It is known that the so-called Bercovici-Pata bijection can be explained in terms of certain Hermitian random matrix ensembles whose asymptotic spectral distributions are free infinitely divisible. We investigate Hermitian L\'{e}vy processes with jumps of rank one associated to these random matrix ensembles introduced in [6] and [10]. A sample path approximation by covariation processes for these matrix L\'{e}vy processes is obtained. As a general result we prove that any complex matrix subordinator with jumps of rank one is the quadratic variation of an -valued L\'{e}vy process. In particular, we have the corresponding result for matrix subordinators with jumps of rank one associated to the random matrix ensembles
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and financial applications · Stochastic processes and statistical mechanics
