Numerical Method for Solving of the Anomalous Diffusion Equation Based on a Local Estimate of the Monte Carlo Method

Viacheslav V. Saenko, Vladislav N. Kovalnogov, Ruslan V. Fedorov, Dmitry A. Generalov and Ekaterina V. Tsvetova
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Viacheslav V. Saenko: Laboratory for Interdisciplinary Problems of Energy Production, Ulyanovsk State Technical University, 32, Severny Venets St., 432027 Ulyanovsk, Russia
Vladislav N. Kovalnogov: Laboratory for Interdisciplinary Problems of Energy Production, Ulyanovsk State Technical University, 32, Severny Venets St., 432027 Ulyanovsk, Russia
Ruslan V. Fedorov: Laboratory for Interdisciplinary Problems of Energy Production, Ulyanovsk State Technical University, 32, Severny Venets St., 432027 Ulyanovsk, Russia
Dmitry A. Generalov: Laboratory for Interdisciplinary Problems of Energy Production, Ulyanovsk State Technical University, 32, Severny Venets St., 432027 Ulyanovsk, Russia
Ekaterina V. Tsvetova: Laboratory for Interdisciplinary Problems of Energy Production, Ulyanovsk State Technical University, 32, Severny Venets St., 432027 Ulyanovsk, Russia

Mathematics, 2022, vol. 10, issue 3, 1-19

Abstract: This paper considers a method of stochastic solution to the anomalous diffusion equation with a fractional derivative with respect to both time and coordinates. To this end, the process of a random walk of a particle is considered, and a master equation describing the distribution of particles is obtained. It has been shown that in the asymptotics of large times, this process is described by the equation of anomalous diffusion, with a fractional derivative in both time and coordinates. The method has been proposed for local estimation of the solution to the anomalous diffusion equation based on the simulation of random walk trajectories of a particle. The advantage of the proposed method is the opportunity to estimate the solution directly at a given point. This excludes the systematic component of the error from the calculation results and allows constructing the solution as a smooth function of the coordinate.

Keywords: anomalous diffusion equation; continuous time random walk; Monte Carlo method; local estimate (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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