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Information length as a new diagnostic in the periodically modulated double-well model of stochastic resonance

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  • Hollerbach, Rainer
  • Kim, Eun-jin
  • Mahi, Yanis

Abstract

We consider the classical double-well model of stochastic resonance, in which a particle in a potential V(x,t)=[−x2∕2+x4∕4−Asin(ωt)x] is subject to an additional stochastic forcing that causes it to occasionally jump between the two wells at x≈±1. We present direct numerical solutions of the Fokker–Planck equation for the probability density function p(x,t), for ω=10−2 to 10−6, and A∈[0,0.2]. Previous results that stochastic resonance arises if ω matches the average frequency at which the stochastic forcing alone would cause the particle to jump between the wells are quantified. The modulation amplitudes A necessary to achieve essentially 100% saturation of the resonance tend to zero as ω→0. From p(x,t) we next construct the information length L(t)=∫[∫(∂tp)2∕pdx]1∕2dt, measuring changes in information associated with changes in p. L shows an equally clear signal of the resonance, which can be interpreted in terms of the underlying meaning of L. Finally, we present escape time calculations, where the Fokker–Planck equation is solved only for x≥0, and find that resonance shows up less clearly than in either the original p or L.

Suggested Citation

  • Hollerbach, Rainer & Kim, Eun-jin & Mahi, Yanis, 2019. "Information length as a new diagnostic in the periodically modulated double-well model of stochastic resonance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1313-1322.
  • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:1313-1322
    DOI: 10.1016/j.physa.2019.04.074
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    References listed on IDEAS

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    1. Suzuki, H. & Hashizume, Y., 2019. "Expectation parameter representation of information length for non-equilibrium systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 400-408.
    2. Gillard, Nicolas & Belin, Etienne & Chapeau-Blondeau, François, 2018. "Enhancing qubit information with quantum thermal noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 219-230.
    3. He, Guitian & Guo, Dali & Tian, Yan & Li, Tiejun & Luo, Maokang, 2017. "Mittag-Leffler noise induced stochastic resonance in a generalized Langevin equation with random inherent frequency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 91-103.
    4. Georges Harras & Claudio J. Tessone & Didier Sornette, "undated". "Disorder-induced volatility of collective dynamics," Working Papers CCSS-10-001, ETH Zurich, Chair of Systems Design.
    5. Wang, Chao-Jie & Long, Fei & Zhang, Pei & Nie, Lin-Ru, 2017. "Controlling of stochastic resonance and noise enhanced stability induced by harmonic noises in a bistable system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 288-294.
    6. Xu, Pengfei & Jin, Yanfei, 2018. "Stochastic resonance in multi-stable coupled systems driven by two driving signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1281-1289.
    7. I. Goychuk & P. Hänggi, 2009. "Nonstationary stochastic resonance viewed through the lens of information theory," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 69(1), pages 29-35, May.
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