Limit Theorems for Stochastic Exponentials of Matrix-Valued Lévy Processes

Abstract We study the long-time behaviour of matrix-valued stochastic exponentials of Lévy processes, i.e. of multiplicative Lévy processes in the general linear group. In particular, we prove laws of large numbers as well as central limit theorems for the logarithmized norm, logarithmized entries and the logarithmized determinant of the stochastic exponential. Where possible, Berry–Esseen bounds are also stated.

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Publication Details

Journal
Journal of Theoretical Probability
Published
2025-06-24
DOI
https://doi.org/10.1007/s10959-025-01430-z
Primary Topic
Probability and Risk Models
Type
article
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article

Limit Theorems for Stochastic Exponentials of Matrix-Valued Lévy Processes

Anita Behme, Sebastian Mentemeier
Journal of Theoretical Probability
Probability and Risk Models
article

Limit Theorems for Stochastic Exponentials of Matrix-Valued Lévy Processes

Anita Behme, Sebastian Mentemeier
article en

Abstract

Abstract We study the long-time behaviour of matrix-valued stochastic exponentials of Lévy processes, i.e. of multiplicative Lévy processes in the general linear group. In particular, we prove laws of large numbers as well as central limit theorems for the logarithmized norm, logarithmized entries and the logarithmized determinant of the stochastic exponential. Where possible, Berry–Esseen bounds are also stated.

Journal of Theoretical ProbabilityVol. 38(3)
University of Hildesheim (DE), Technische Universität Dresden (DE)
Openalex Percentile: Top 83%
Probability and Risk Models
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