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 language | English |
|---|---|
| Pages (from-to) | 51-68 |
| Number of pages | 18 |
| Journal | Asymptotic Analysis |
| Volume | 124 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - 2021 |
Bibliographical note
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Keywords
- Borel summability
- Feynman graphs and rules
- Lévy processes
- Stochastic differential equations
- neural networks
- transition probability densities
ASJC Scopus subject areas
- General Mathematics