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The exponential Lie series and a Chen–Strichartz formula for Lévy processes

  • Kurusch Ebrahimi–Fard
  • , Frédéric Patras
  • , Anke Wiese

Research output: Contribution to journalArticlepeer-review

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Abstract

In this paper, we derive a Chen–Strichartz formula for stochastic differential equations driven by Lévy 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 Lévy 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.
Original languageEnglish
Article number105021
JournalStochastic Processes and their Applications
Volume200
Early online date12 Jun 2026
DOIs
Publication statusE-pub ahead of print - 12 Jun 2026

Keywords

  • Chen–Strichartz series
  • Exponential Lie series
  • Lévy processes
  • Pre-Lie Magnus series
  • Stochastic flow

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Applied Mathematics

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