How to simulate Lévy flights in a steep potential: An explicit splitting numerical scheme

Fuente: arXiv
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Autori principali: Pavlyukevich, Ilya, Aryasova, Olga, Chechkin, Alexei, Kulyk, Oleksii
Natura: Preprint
Pubblicazione: 2025
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author Pavlyukevich, Ilya
Aryasova, Olga
Chechkin, Alexei
Kulyk, Oleksii
author_facet Pavlyukevich, Ilya
Aryasova, Olga
Chechkin, Alexei
Kulyk, Oleksii
contents We propose an effective explicit numerical scheme for simulating solutions of stochastic differential equations with confining superlinear drift terms, driven by multiplicative heavy-tailed Lévy noise. The scheme is designed to prevent explosion and accurately capture all finite moments of the solutions. In the purely Gaussian case, it correctly reproduces moments of sub-Gaussian tails of the solutions. This method is particularly well-suited for approximating statistical moments and other probabilistic characteristics of Lévy flights in steep potential landscapes.
format Preprint
id arxiv_https___arxiv_org_abs_2508_07339
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle How to simulate Lévy flights in a steep potential: An explicit splitting numerical scheme
Pavlyukevich, Ilya
Aryasova, Olga
Chechkin, Alexei
Kulyk, Oleksii
Computational Physics
Statistical Mechanics
Probability
65C30, 60H35
G.3; G.1.7; J.2; I.6
We propose an effective explicit numerical scheme for simulating solutions of stochastic differential equations with confining superlinear drift terms, driven by multiplicative heavy-tailed Lévy noise. The scheme is designed to prevent explosion and accurately capture all finite moments of the solutions. In the purely Gaussian case, it correctly reproduces moments of sub-Gaussian tails of the solutions. This method is particularly well-suited for approximating statistical moments and other probabilistic characteristics of Lévy flights in steep potential landscapes.
title How to simulate Lévy flights in a steep potential: An explicit splitting numerical scheme
topic Computational Physics
Statistical Mechanics
Probability
65C30, 60H35
G.3; G.1.7; J.2; I.6
url https://arxiv.org/abs/2508.07339