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Main Authors: Ebrahimi-Fard, Kurusch, Patras, Frederic, Wiese, Anke
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.06827
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author Ebrahimi-Fard, Kurusch
Patras, Frederic
Wiese, Anke
author_facet Ebrahimi-Fard, Kurusch
Patras, Frederic
Wiese, Anke
contents In this paper, we derive a Chen-Strichartz formula for stochastic differential equations driven by Levy processes, that is, we derive a series expansion of the logarithm of the flowmap of the stochastic differential equation in terms of commutators of vector fields with stochastic coefficients, and we provide an explicit formula for the components in this series. The stochastic components are generated by the Levy processes that drive the stochastic differential equation and their quadratic variation and power jumps; the vector fields are given as linear combinations of commutators of elements in the pre-Lie Magnus expansion generated by the original vector fields governing our stochastic differential equation. In particular, we show the logarithm of the flowmap is a Lie series. These results extend previous results for deterministic differential equations and continuous stochastic differential equations. For these, the Chen-Strichartz series has shown to play a pivotal role in the design of numerical integration schemes that preserve qualitative properties of the solution such as the construction of geometric numerical schemes and in the context of efficient numerical schemes.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06827
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Exponential Lie Series and a Chen-Strichartz Formula for Levy Processes
Ebrahimi-Fard, Kurusch
Patras, Frederic
Wiese, Anke
Probability
Combinatorics
In this paper, we derive a Chen-Strichartz formula for stochastic differential equations driven by Levy processes, that is, we derive a series expansion of the logarithm of the flowmap of the stochastic differential equation in terms of commutators of vector fields with stochastic coefficients, and we provide an explicit formula for the components in this series. The stochastic components are generated by the Levy processes that drive the stochastic differential equation and their quadratic variation and power jumps; the vector fields are given as linear combinations of commutators of elements in the pre-Lie Magnus expansion generated by the original vector fields governing our stochastic differential equation. In particular, we show the logarithm of the flowmap is a Lie series. These results extend previous results for deterministic differential equations and continuous stochastic differential equations. For these, the Chen-Strichartz series has shown to play a pivotal role in the design of numerical integration schemes that preserve qualitative properties of the solution such as the construction of geometric numerical schemes and in the context of efficient numerical schemes.
title The Exponential Lie Series and a Chen-Strichartz Formula for Levy Processes
topic Probability
Combinatorics
url https://arxiv.org/abs/2411.06827