Coherence of a periodic potential system with nonlinear nonlocal dissipation and colored noise

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Pengfei Xu , Xulu Gong , Yanxia Zhang , Guotao Wang
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引用次数: 0

Abstract

The coherence of a periodic potential system with memory kernel is studied under the action of nonlinear dissipation and colored noise. General expression for the characteristic correlation time is derived for a multi-stable discrete rate process describing the noise-induced transition between states. The coherence can be improved by the strength of memory, while it is shown to be minimized for an appropriate choice of the modulation parameter of dissipation and the number of stable states. Moreover, the phenomena of coherence resonance, anti-coherence resonance, and stochastic multi-resonance are found by simulating quality factor as the memory of the dynamical system is unrelated to its noise spectrum. Specifically, the noise correlation time and the memory time play remarkably different roles in an enhancement of coherence resonance. The quality factor also exhibits a resonance-like dependence on the friction coefficient. More interestingly, in certain parameter regions a scheme for controlling coherence resonance can be achieved by introducing nonlinear dissipation.
具有非线性非局部耗散和彩色噪声的周期势系统的相干性
研究了具有记忆核的周期势系统在非线性耗散和彩色噪声作用下的相干性。导出了描述状态间由噪声引起的过渡的多稳定离散速率过程的特征相关时间的一般表达式。存储器的强度可以提高相干性,而适当选择耗散调制参数和稳定态的数目则可以使相干性最小化。此外,由于动力系统的记忆与噪声谱无关,通过模拟质量因子发现了相干共振、反相干共振和随机多共振现象。其中,噪声相关时间和记忆时间对相干共振的增强作用有显著差异。质量因子对摩擦系数也表现出类似共振的依赖性。更有趣的是,在某些参数区域,可以通过引入非线性耗散来实现控制相干共振的方案。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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