Escape by jumps and diffusion by α-stable noise across the barrier in a double well potential

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED
Ignacio del Amo , Peter Ditlevsen
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Abstract

Many physical and chemical phenomena are governed by stochastic escape across potential barriers. The escape time depends on the structure of the noise and the shape of the potential barrier. By applying α-stable noise from the α=2 Gaussian noise limit to the α<2 jump processes, we find a continuous transition of the mean escape time from the usual dependence on the height of the barrier for Gaussian noise to a dependence solely on the width of the barrier for α-stable noise. We consider the exit problem of a process driven by α-stable noise in a double well potential. We study individually the influences of the width and the height of the potential barrier in the escape time, and we show through scalings that the asymptotic laws are described by a universal curve independent of both parameters. When the dependence in the stability parameter is considered, we see that there are two different diffusive regimes in which diffusion is described either by Kramer’s time or by the corresponding asymptotic law for α-stable noise. We determine the regions of the noise parameter space in which each regime prevails and exploit this result to construct an anomalous example in which a double well potential exhibit a different diffusion regime in each well for a wide range of parameters.
在双阱势中通过跳跃逃逸和α-稳定噪声跨越势垒扩散
许多物理和化学现象是由跨越势垒的随机逃逸控制的。逃逸时间取决于噪声的结构和势垒的形状。通过将α=2高斯噪声极限的α-稳定噪声应用于α<;2跳变过程,我们发现平均逃逸时间从通常依赖于高斯噪声势垒高度的连续转变为仅依赖于α-稳定噪声势垒宽度的连续转变。考虑双井势中α-稳定噪声驱动过程的出口问题。我们分别研究了势垒宽度和高度对逃逸时间的影响,并通过标度证明了渐近律是由一条与这两个参数无关的通用曲线描述的。当考虑稳定性参数的依赖性时,我们看到存在两种不同的扩散状态,其中扩散可以用Kramer时间或相应的α-稳定噪声的渐近律来描述。我们确定了噪声参数空间中每一种状态占主导地位的区域,并利用这一结果构造了一个反常的例子,在这个例子中,双井势在各井中表现出不同的扩散状态,且参数范围很广。
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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