Version 1
: Received: 7 June 2024 / Approved: 10 June 2024 / Online: 11 June 2024 (10:57:08 CEST)
How to cite:
Bashkirtseva, I. Approximations in Mean Square Analysis of Stochastically Forced Equilibria for Nonlinear Dynamical Systems. Preprints2024, 2024060618. https://doi.org/10.20944/preprints202406.0618.v1
Bashkirtseva, I. Approximations in Mean Square Analysis of Stochastically Forced Equilibria for Nonlinear Dynamical Systems. Preprints 2024, 2024060618. https://doi.org/10.20944/preprints202406.0618.v1
Bashkirtseva, I. Approximations in Mean Square Analysis of Stochastically Forced Equilibria for Nonlinear Dynamical Systems. Preprints2024, 2024060618. https://doi.org/10.20944/preprints202406.0618.v1
APA Style
Bashkirtseva, I. (2024). Approximations in Mean Square Analysis of Stochastically Forced Equilibria for Nonlinear Dynamical Systems. Preprints. https://doi.org/10.20944/preprints202406.0618.v1
Chicago/Turabian Style
Bashkirtseva, I. 2024 "Approximations in Mean Square Analysis of Stochastically Forced Equilibria for Nonlinear Dynamical Systems" Preprints. https://doi.org/10.20944/preprints202406.0618.v1
Abstract
Motivated by important applications to the analysis of complex noise-induced phenomena, a problem of the constructive description of randomly forced equilibria for nonlinear systems with multiplicative noise is considered. Using apparatus of the first approximation systems, we construct an approximation of mean square deviations that explicitly takes into account the presence of multiplicative noise. This approximation is compared with the widely used approximation based on the stochastic sensitivity technique. The general mathematical results are illustrated with the example of the van der Pol oscillator with hard excitement.
Keywords
Stochastic equilibria; multiplicative noise; second moments; approximations; dispersion
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.