The Maximal Lyapunov Exponent of a Stochastic Bautin Bifurcation System

ABSTRACT In this paper, we investigate the maximal Lyapunov exponent of a Bautin bifurcation system with additive white noise, which is also the fifth‐order truncated normal form of a generalized Hopf bifurcation in the absence of noise. By solving the stationary density associated with the invariant measure of the system and its marginal distribution, we show that the maximal Lyapunov exponent is of indefinite sign depending on parameters and we give the explicit condition to control the range of the maximal Lyapunov exponent. Finally, we give the asymptotic expansion of the maximal Lyapunov exponent in the small noise limit.

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Publication Details

Journal
Studies in Applied Mathematics
Published
2025-03-01
DOI
https://doi.org/10.1111/sapm.70035
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
0.00

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The Maximal Lyapunov Exponent of a Stochastic Bautin Bifurcation System

Diandian Tang, Jingli Ren
Studies in Applied Mathematics
Ecosystem dynamics and resilience
article

The Maximal Lyapunov Exponent of a Stochastic Bautin Bifurcation System

Diandian Tang, Jingli Ren
article en

Abstract

ABSTRACT In this paper, we investigate the maximal Lyapunov exponent of a Bautin bifurcation system with additive white noise, which is also the fifth‐order truncated normal form of a generalized Hopf bifurcation in the absence of noise. By solving the stationary density associated with the invariant measure of the system and its marginal distribution, we show that the maximal Lyapunov exponent is of indefinite sign depending on parameters and we give the explicit condition to control the range of the maximal Lyapunov exponent. Finally, we give the asymptotic expansion of the maximal Lyapunov exponent in the small noise limit.

Studies in Applied MathematicsVol. 154(3)
North China University of Water Resources and Electric Power (CN), Zhengzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 97%
Ecosystem dynamics and resilience
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