分数扩散系统中的随机前传播

IF 0.3 Q4 MATHEMATICS
A. Mentrelli, G. Pagnini
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引用次数: 6

摘要

界面传播的建模在一些应用科学领域是很有意义的,例如那些涉及化学反应的领域,其中反应界面分离了两种不同的化合物。当锋面传播发生在底层随机运动的系统中时,锋面具有随机特征,需要一种对具有随机运动的锋面进行跟踪的方法。水平集方法是一种成功的前沿跟踪技术,广泛应用于具有确定性运动的界面,这里假设界面的运动具有随机扩散过程的特征,它是随机化的。特别地,这里我们考虑由时间分数扩散方程控制的运动情况,从而得到由M-Wright/Mainardi函数给出的界面粒子位移的概率密度函数。给出了一些数值结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Random front propagation in fractional diffusive systems
Modelling the propagation of interfaces is of interest in several fields of applied sciences, such as those involving chemical reactions where the reacting interface separates two different compounds. When the front propagation occurs in systems characterized by an underlying random motion, the front gets a random character and a tracking method for fronts with a random motion is desired. The Level Set Method, which is a successful front tracking technique widely used for interfaces with deterministic motion, is here randomized assuming that the motion of the interface is characterized by a random diffusive process. In particular, here we consider the case of a motion governed by the time-fractional diffusion equation, leading to a probability density function for the interface particle displacement given by the M-Wright/Mainardi function. Some numerical results are shown and discussed.
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
3
审稿时长
16 weeks
期刊介绍: Communications in Applied and Industrial Mathematics (CAIM) is one of the official journals of the Italian Society for Applied and Industrial Mathematics (SIMAI). Providing immediate open access to original, unpublished high quality contributions, CAIM is devoted to timely report on ongoing original research work, new interdisciplinary subjects, and new developments. The journal focuses on the applications of mathematics to the solution of problems in industry, technology, environment, cultural heritage, and natural sciences, with a special emphasis on new and interesting mathematical ideas relevant to these fields of application . Encouraging novel cross-disciplinary approaches to mathematical research, CAIM aims to provide an ideal platform for scientists who cooperate in different fields including pure and applied mathematics, computer science, engineering, physics, chemistry, biology, medicine and to link scientist with professionals active in industry, research centres, academia or in the public sector. Coverage includes research articles describing new analytical or numerical methods, descriptions of modelling approaches, simulations for more accurate predictions or experimental observations of complex phenomena, verification/validation of numerical and experimental methods; invited or submitted reviews and perspectives concerning mathematical techniques in relation to applications, and and fields in which new problems have arisen for which mathematical models and techniques are not yet available.
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