Published March 2018 | Version v1
Journal article

Impact of colored cross-correlated non-Gaussian and Gaussian noises on stochastic resonance and stochastic stability for a metapopulation system driven by a multiplicative signal☆

  • 1. Center of Complex Systems and Network Science Research, Southeast University, Nanjing 210096 (China)
  • 2. School of Science, Jiangsu University of Science and Technology, Zhenjiang 212003 (China)
  • 3. School of Mathematical Sciences, Nanjing Normal University, Nanjing 210097 (China)

Description

In this paper, our aim is to investigate the steady state characteristics and the signal-to-noise ratio (SNR) for a stochastic metapopulation system including a multiplicative periodic signal caused by the terms of the colored cross-correlated multiplicative non-Gaussian noise and additive Gaussian noise. Numerical results indicate that the multiplicative noise, the additive one and the departure parameter from the Gaussian noise can all decrease the stability of the ecological population system and restrain the development of the metapopulation, while two noise correlation times and the strength of the noise correlation will enhance the stability of the biological system and promote the expansion of the population system. With regard to the stochastic resonance phenomenon (SR) induced by noise terms and a multiplicative weak periodic signal, the results illustrate that the noise correlation time τ and the strength of correlation noise λ can increase the SR effect greatly in most cases, while the intensity of the multiplicative noise Q mainly plays a part in suppressing the SR and weakening the SNR except that in the SNR-τ plot. Moreover, it is worth noting that the noise correlation time τ0 and the additive noise intensity M can play the diverse roles in enhancing or weakening the SR effect under the different system parameter conditions.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2018.02.004

Additional details

Identifiers

DOI
10.1016/j.chaos.2018.02.004;
PII
S0960077918300511;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
108
Journal Page Range
p. 166-181
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51023617
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
CORRELATIONS; EXPANSION; NOISE; PERIODICITY; RESONANCE; SIGNALS; SIGNAL-TO-NOISE RATIO; STABILITY; STEADY-STATE CONDITIONS; STOCHASTIC PROCESSES
Descriptors DEC
DIMENSIONLESS NUMBERS; VARIATIONS

Optional Information

Notes
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