Mathematical analysis of the Wiener processes with time-delayed feedback

It is known that time delays generally make a system unstable. However, it is numerically observed that the diffusion coefficients of the Wiener processes with time-delayed feedback decrease while increasing the time delay τ. In particular, the decay of the diffusion coefficients with the form (11+τ)2 has been confirmed by numerical simulations [Ando et al., Phys. Rev. E 96, 012148 (2017)]. In this paper, we present two analytical derivations for the relation (11+τ)2 by dynamical system approaches using the Laplace transform and stochastic differential equations.

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Journal
AIP Advances
Published
2024-09-01
DOI
https://doi.org/10.1063/5.0209241
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
0.00

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article

Mathematical analysis of the Wiener processes with time-delayed feedback

Michio Yamada, Kohta Takehara, Hiroyasu Ando, Miki U. Kobayashi
AIP Advances
Nonlinear Dynamics and Pattern Formation
article

Mathematical analysis of the Wiener processes with time-delayed feedback

Michio Yamada, Kohta Takehara, Hiroyasu Ando, Miki U. Kobayashi
article en

Abstract

It is known that time delays generally make a system unstable. However, it is numerically observed that the diffusion coefficients of the Wiener processes with time-delayed feedback decrease while increasing the time delay τ. In particular, the decay of the diffusion coefficients with the form (11+τ)2 has been confirmed by numerical simulations [Ando et al., Phys. Rev. E 96, 012148 (2017)]. In this paper, we present two analytical derivations for the relation (11+τ)2 by dynamical system approaches using the Laplace transform and stochastic differential equations.

AIP AdvancesVol. 14(9)
University of Tsukuba (JP), Kyoto University (JP), Rissho University (JP), Tokyo Metropolitan University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 83%
Nonlinear Dynamics and Pattern Formation
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Mathematical analysis of the Wiener processes with time-delayed feedback — Michio Yamada, Kohta Takehara, et al. · AIP Advances (2024) | TGRS Research Map | TGRS