从列维漫步到分数物质导数:点式表示和数值方案

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Łukasz Płociniczak, Marek A. Teuerle
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引用次数: 0

摘要

分数物质导数作为分数算子出现,它控制着莱维漫步(一种随机过程,源于著名的连续时间随机漫步)缩放极限的动态。它通常被定义为傅里叶-拉普拉斯乘数,因此可以看作是一个伪微分算子。在本文中,我们证明了分数物质导数在时间和空间上存在一个局部表示,即点表示。我们考虑了几个涉及分数物质导数的典型微分方程,并提供了它们的解存在的条件。在某些情况下,可以找到解析解。对于一般初值问题,我们设计了有限体积法,并证明了其稳定性、收敛性和概率守恒性。数值说明验证了我们的分析结论。此外,我们的数值实验表明,在计算时间上,建议的数值方案优于应用于概率密度函数推导问题的蒙特卡罗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Lévy walks to fractional material derivative: Pointwise representation and a numerical scheme

The fractional material derivative appears as the fractional operator that governs the dynamics of the scaling limits of Lévy walks - a stochastic process that originates from the famous continuous-time random walks. It is usually defined as the Fourier–Laplace multiplier, therefore, it can be thought of as a pseudo-differential operator. In this paper, we show that there exists a local representation in time and space, pointwise, of the fractional material derivative. This allows us to define it on a space of locally integrable functions which is larger than the original one in which Fourier and Laplace transform exist as functions.

We consider several typical differential equations involving the fractional material derivative and provide conditions for their solutions to exist. In some cases, the analytical solution can be found. For the general initial value problem, we devise a finite volume method and prove its stability, convergence, and conservation of probability. Numerical illustrations verify our analytical findings. Moreover, our numerical experiments show superiority in the computation time of the proposed numerical scheme over a Monte Carlo method applied to the problem of probability density function’s derivation.

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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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