具有随机反常扩散指数的缩放布朗运动

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Hubert Woszczek , Aleksei Chechkin , Agnieszka Wyłomańska
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引用次数: 0

摘要

缩放布朗运动(SBM)被认为是典型的随机过程之一,其特点是通过扩散指数进行反常扩散。它是一个具有独立增量的高斯自相似过程,已在从湍流、随机水文学到生物物理学等多个领域得到应用。在我们的论文中,受最近的单粒子跟踪生物实验的启发,我们引入了一种称为具有随机指数的缩放布朗运动(SBMRE)的过程,它在单个轨迹的水平上保留了 SBM 的主要特征,但在不同轨迹上具有随机变化的异常扩散指数。此外,我们还提出了时间平均均方位移(TAMSD)的期望值和遍历性破坏参数。此外,我们还分析了半无限域中首次命中时间的 pdf、SBMRE 的马氏特性及其随机指数。作为特例,我们考虑了异常扩散指数的两种分布,即两点混合分布和贝塔分布,并探讨了相应特征的渐近性。通过数值模拟验证了 SBMRE 的理论结果,并与 SBM 的类似特征进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scaled Brownian motion with random anomalous diffusion exponent
The scaled Brownian motion (SBM) is regarded as one of the paradigmatic random processes, characterized by anomalous diffusion through the diffusion exponent. It is a Gaussian, self-similar process with independent increments and has found applications across various fields, from turbulence and stochastic hydrology to biophysics. In our paper, inspired by recent single particle tracking biological experiments, we introduce a process called scaled Brownian motion with random exponent (SBMRE), which retains the key features of SBM at the level of individual trajectories, but with anomalous diffusion exponents that vary randomly across trajectories.
We discuss the main probabilistic properties of SBMRE, including its probability density function (pdf) and the qth absolute moment. Additionally, we present the expected value of the time-averaged mean squared displacement (TAMSD) and the ergodicity breaking parameter. Furthermore, we analyze the pdf of the first hitting time in a semi-infinite domain, the martingale property of SBMRE, and its stochastic exponential. As special cases, we consider two distributions for the anomalous diffusion exponent, namely the mixture of two point distributions and beta distribution, and explore the asymptotics of the corresponding characteristics. Theoretical results for SBMRE are validated through numerical simulations and compared with the analogous characteristics of SBM.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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