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Main Authors: Zhou, Baoquan, Wang, Hao, Wang, Tianxu, Jiang, Daqing
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2407.09901
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author Zhou, Baoquan
Wang, Hao
Wang, Tianxu
Jiang, Daqing
author_facet Zhou, Baoquan
Wang, Hao
Wang, Tianxu
Jiang, Daqing
contents This paper is Part II of a two-part series on coexistence states study in stochastic generalized Kolmogorov systems under small diffusion. Part I provided a complete characterization for approximating invariant probability measures and density functions, while here, we focus on explicit approximations for periodic solutions in distribution. Two easily implementable methods are introduced: periodic normal approximation (PNOA) and periodic log-normal approximation (PLNA). These methods offer unified algorithms to calculate the mean and covariance matrix, and verify positive definiteness, without additional constraints like non-degenerate diffusion. Furthermore, we explore essential properties of the covariance matrix, particularly its connection under periodic and non-periodic drift coefficients. Our new approximation methods significantly relax the minimal criteria for positive definiteness of the solution of the discrete-type Lyapunov equation. Some numerical experiments are provided to support our theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_2407_09901
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Stochastic generalized Kolmogorov systems with small diffusion: II. Explicit approximations for periodic solutions in distribution
Zhou, Baoquan
Wang, Hao
Wang, Tianxu
Jiang, Daqing
Dynamical Systems
37H05, 37H30, 45M15, 60H10
This paper is Part II of a two-part series on coexistence states study in stochastic generalized Kolmogorov systems under small diffusion. Part I provided a complete characterization for approximating invariant probability measures and density functions, while here, we focus on explicit approximations for periodic solutions in distribution. Two easily implementable methods are introduced: periodic normal approximation (PNOA) and periodic log-normal approximation (PLNA). These methods offer unified algorithms to calculate the mean and covariance matrix, and verify positive definiteness, without additional constraints like non-degenerate diffusion. Furthermore, we explore essential properties of the covariance matrix, particularly its connection under periodic and non-periodic drift coefficients. Our new approximation methods significantly relax the minimal criteria for positive definiteness of the solution of the discrete-type Lyapunov equation. Some numerical experiments are provided to support our theoretical results.
title Stochastic generalized Kolmogorov systems with small diffusion: II. Explicit approximations for periodic solutions in distribution
topic Dynamical Systems
37H05, 37H30, 45M15, 60H10
url https://arxiv.org/abs/2407.09901