Generalized Wishart processes under nonlinear expectation

We develop a theory of generalized Wishart processes within the framework of $G$-expectation, with $G$-Dyson Brownian motion and the $G$-Wishart process as two typical examples. In contrast to the classical setting, we show that $G$-Dyson Brownian motion may exhibit collisions and provide a sufficient condition ensuring the non-collision of the eigenvalues of generalized Wishart processes. We then derive the equations governing the high-dimensional limits of the empirical spectral measures under $G$-expectation, leading to the corresponding semicircle law for $G$-Dyson Brownian motion and Marchenko--Pastur law for the $G$-Wishart process.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-02
DOI
https://doi.org/10.48550/arxiv.2611.02728
Primary Topic
Random Matrices and Applications
Type
preprint
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preprint

Generalized Wishart processes under nonlinear expectation

Yiran Mi, Xinpeng Li, Shuzhen Yang, Jian Song
arXiv (Cornell University)
Random Matrices and Applications
preprint

Generalized Wishart processes under nonlinear expectation

Yiran Mi, Xinpeng Li, Shuzhen Yang, Jian Song
preprint en

Abstract

We develop a theory of generalized Wishart processes within the framework of $G$-expectation, with $G$-Dyson Brownian motion and the $G$-Wishart process as two typical examples. In contrast to the classical setting, we show that $G$-Dyson Brownian motion may exhibit collisions and provide a sufficient condition ensuring the non-collision of the eigenvalues of generalized Wishart processes. We then derive the equations governing the high-dimensional limits of the empirical spectral measures under $G$-expectation, leading to the corresponding semicircle law for $G$-Dyson Brownian motion and Marchenko--Pastur law for the $G$-Wishart process.

arXiv (Cornell University)
Random Matrices and Applications
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