Asymptotic expansion of the transition density of the semigroup associated to a SDE driven by Lévy noise

Boubaker Smii*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In this work we consider a finite dimensional stochastic differential equation(SDE) driven by a Lévy noise L (t) = L t, t > 0. The transition probability density p t, t > 0 of the semigroup associated to the solution u t, t 0 of the SDE is given by a power series expansion. The series expansion of p t can be re-expressed in terms of Feynman graphs and rules. We will also prove that p t, t > 0 has an asymptotic expansion in power of a parameter β > 0, and it can be given by a convergent integral. A remark on some applications will be given in this work.

Original languageEnglish
Pages (from-to)51-68
Number of pages18
JournalAsymptotic Analysis
Volume124
Issue number1-2
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021-IOS Press. All rights reserved.

Keywords

  • Borel summability
  • Feynman graphs and rules
  • Lévy processes
  • Stochastic differential equations
  • neural networks
  • transition probability densities

ASJC Scopus subject areas

  • General Mathematics

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