Escape process and stochastic resonance under noise intensity fluctuation
Creators
- 1. Department of Biophysics and Biochemistry, Graduate School of Science, The University of Tokyo, Tokyo 113-0033 (Japan)
- 2. Institute for Advanced Biosciences, Keio University, Yamagata 997-0035 (Japan)
Description
We study the effects of noise intensity fluctuations on the stationary and dynamical properties of an overdamped Langevin model with a bistable potential and external periodical driving force. We calculated the stationary distributions, mean-first passage time (MFPT) and the spectral amplification factor using a complete set expansion (CSE) technique. We found resonant activation (RA) and stochastic resonance (SR) phenomena in the system under investigation. Moreover, the strength of RA and SR phenomena exhibit non-monotonic behavior and their trade-off relation as a function of the squared variation coefficient of the noise intensity process. The reliability of CSE is verified with Monte Carlo simulations. -- Highlights: → Systems under noise intensity fluctuations are studied. → Stationary distributions, mean-first passage time and stochastic resonance are calculated. → We find the resonant phenomena in terms of variation coefficient of the noise intensity process.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.physleta.2011.07.054Additional details
Identifiers
- DOI
- 10.1016/j.physleta.2011.07.054;
- arXiv
- arXiv:1011.2533v4;
- PII
- S0375-9601(11)00940-6;
Publishing Information
- Journal Title
- Physics Letters. A
- Journal Volume
- 375
- Journal Issue
- 39
- Journal Page Range
- p. 3450-3458
- ISSN
- 0375-9601
- CODEN
- PYLAAG
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45056136
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- AMPLIFICATION; COMPUTERIZED SIMULATION; DISTRIBUTION; FLUCTUATIONS; FUNCTIONS; MONTE CARLO METHOD; NOISE; PERIODICITY; POTENTIALS; RELIABILITY; RESONANCE; STOCHASTIC PROCESSES
- Descriptors DEC
- CALCULATION METHODS; SIMULATION; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.