Published May 2011 | Version v1
Journal article

Entropic noise induced stability and double entropic stochastic resonance induced by correlated noises

  • 1. Faculty of Science, Kunming University of Science and Technology, Kunming 650093 (China)
  • 2. Center of Metallurgical Energy Conservation and Emission Reduction, Ministry of Education, Kunming University of Science and Technology, Kunming 650093 (China)

Description

For the activated dynamics of a Brownian particle moving in a confined system with the presence of entropic barriers, this paper investigates a periodic driving and correlations between two noises. Within the two-state approximation, the explicit expressions of the mean first passage time (MFPT) and the spectral power amplification (SPA) are obtained, respectively. Based on the numerical computations, it is found that: (i) The MFPT as a function of the noise intensity exhibits a maximum with the positive correlations between two noises (λ > 0), this maximum for MFPT shows the characteristic of the entropic noise induced stability (ENIS) effect. The intensity λ of correlations between two noises can enhance the ENIS effect. (ii) The SPA as a function of the noise intensity exhibits a double-peak by tuning the noise correlation intensity λ, i.e., the existence of a double-peak behaviour is the identifying characteristic of the double entropic stochastic resonance phenomenon. (general)

Availability note (English)

Available from http://dx.doi.org/10.1088/1674-1056/20/5/050502

Additional details

Publishing Information

Journal Title
Chinese Physics. B
Journal Volume
20
Journal Issue
5
Journal Page Range
[7 p.]
ISSN
1674-1056

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45012871
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
AMPLIFICATION; APPROXIMATIONS; BROWNIAN MOVEMENT; CORRELATIONS; NOISE; PARTICLES; PERIODICITY; RESONANCE; STABILITY; STOCHASTIC PROCESSES
Descriptors DEC
CALCULATION METHODS; VARIATIONS