Literature DB >> 15244536

Noise-enhanced stability in fluctuating metastable states.

Alexander A Dubkov1, Nikolay V Agudov, Bernardo Spagnolo.   

Abstract

We derive general equations for the nonlinear relaxation time of Brownian diffusion in randomly switching potential with a sink. For piece-wise linear dichotomously fluctuating potential with metastable state, we obtain the exact average lifetime as a function of the potential parameters and the noise intensity. Our result is valid for arbitrary white noise intensity and for arbitrary fluctuation rate of the potential. We find noise enhanced stability phenomenon in the system investigated: The average lifetime of the metastable state is greater than the time obtained in the absence of additive white noise. We obtain the parameter region of the fluctuating potential where the effect can be observed. The system investigated also exhibits a maximum of the lifetime as a function of the fluctuation rate of the potential.

Year:  2004        PMID: 15244536     DOI: 10.1103/PhysRevE.69.061103

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

Review 1.  Enhancing Metastability by Dissipation and Driving in an Asymmetric Bistable Quantum System.

Authors:  Bernardo Spagnolo; Angelo Carollo; Davide Valenti
Journal:  Entropy (Basel)       Date:  2018-03-26       Impact factor: 2.524

2.  Between Nonlinearities, Complexity, and Noises: An Application on Portfolio Selection Using Kernel Principal Component Analysis.

Authors:  Yaohao Peng; Pedro Henrique Melo Albuquerque; Igor Ferreira do Nascimento; João Victor Freitas Machado
Journal:  Entropy (Basel)       Date:  2019-04-07       Impact factor: 2.524

3.  Impact of time delays and environmental noise on the extinction of a population dynamics model.

Authors:  Chun Zhang; Tao Yang; Shi-Xian Qu
Journal:  Eur Phys J B       Date:  2021-11-03       Impact factor: 1.500

4.  Time delay induced transition of gene switch and stochastic resonance in a genetic transcriptional regulatory model.

Authors:  Canjun Wang; Ming Yi; Keli Yang; Lijian Yang
Journal:  BMC Syst Biol       Date:  2012-07-16
  4 in total

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