Positivity preserving truncated Euler-Maruyama method for stochastic Lotka-Volterra competition model

Mao, Xuerong and Wei, Fengying and Wiriyakraikul, Teerapot (2021) Positivity preserving truncated Euler-Maruyama method for stochastic Lotka-Volterra competition model. Journal of Computational and Applied Mathematics, 394. 113566. ISSN 0377-0427 (https://doi.org/10.1016/j.cam.2021.113566)

[thumbnail of Mao-etal-JCAM-2021-Positivity-preserving-truncated-Euler-Maruyama-method-for-statistic]
Preview
Text. Filename: Mao_etal_JCAM_2021_Positivity_preserving_truncated_Euler_Maruyama_method_for_statistic.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo

Download (3MB)| Preview

Abstract

The well-known stochastic Lotka{Volterra model for interacting multi-species in ecology has some typical features: highly nonlinear, positive solution and multi- dimensional. The known numerical methods including the tamed/truncated Euler- Maruyama (EM) applied to it do not preserve its positivity. The aim of this paper is to modify the truncated EM to establish a new positive preserving truncated EM (PPTEM). To simplify the proof as well as to make our theory more understandable, we will rst develop a nonnegative preserving truncated EM (NPTEM) and then establish the PPTEM. Of course, we should point out that the NPTEM has its own right as many SDE models in applications have their nonnegative solutions.

ORCID iDs

Mao, Xuerong ORCID logoORCID: https://orcid.org/0000-0002-6768-9864, Wei, Fengying and Wiriyakraikul, Teerapot;