Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation

In this paper, we mainly study the solution and properties of the multiterm time-fractional diffusion equation. First, we obtained the stochastic representation for this equation, which turns to be a subordinated process. Based on the stochastic representation, we calculated the mean square displace...

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Main Authors: Longjin Lv, Luna Wang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Advances in Mathematical Physics
Online Access:http://dx.doi.org/10.1155/2020/1315426
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author Longjin Lv
Luna Wang
author_facet Longjin Lv
Luna Wang
author_sort Longjin Lv
collection DOAJ
description In this paper, we mainly study the solution and properties of the multiterm time-fractional diffusion equation. First, we obtained the stochastic representation for this equation, which turns to be a subordinated process. Based on the stochastic representation, we calculated the mean square displacement (MSD) and time average mean square displacement, then proved some properties of this model, including subdiffusion, generalized Einstein relationship, and nonergodicity. Finally, a stochastic simulation algorithm was developed for the visualization of sample path of the abnormal diffusion process. The Monte Carlo method was also employed to show the behavior of the solution of this fractional equation.
format Article
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institution Kabale University
issn 1687-9120
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language English
publishDate 2020-01-01
publisher Wiley
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series Advances in Mathematical Physics
spelling doaj-art-4949af0e747c404fb39fbf8ca5be5dc82025-02-03T05:49:53ZengWileyAdvances in Mathematical Physics1687-91201687-91392020-01-01202010.1155/2020/13154261315426Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion EquationLongjin Lv0Luna Wang1School of Finance and Information, Ningbo University of Finance and Economics, Ningbo 315000, ChinaSchool of Finance and Information, Ningbo University of Finance and Economics, Ningbo 315000, ChinaIn this paper, we mainly study the solution and properties of the multiterm time-fractional diffusion equation. First, we obtained the stochastic representation for this equation, which turns to be a subordinated process. Based on the stochastic representation, we calculated the mean square displacement (MSD) and time average mean square displacement, then proved some properties of this model, including subdiffusion, generalized Einstein relationship, and nonergodicity. Finally, a stochastic simulation algorithm was developed for the visualization of sample path of the abnormal diffusion process. The Monte Carlo method was also employed to show the behavior of the solution of this fractional equation.http://dx.doi.org/10.1155/2020/1315426
spellingShingle Longjin Lv
Luna Wang
Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation
Advances in Mathematical Physics
title Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation
title_full Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation
title_fullStr Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation
title_full_unstemmed Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation
title_short Stochastic Representation and Monte Carlo Simulation for Multiterm Time-Fractional Diffusion Equation
title_sort stochastic representation and monte carlo simulation for multiterm time fractional diffusion equation
url http://dx.doi.org/10.1155/2020/1315426
work_keys_str_mv AT longjinlv stochasticrepresentationandmontecarlosimulationformultitermtimefractionaldiffusionequation
AT lunawang stochasticrepresentationandmontecarlosimulationformultitermtimefractionaldiffusionequation