Monte Carlo Random Walk Simulations Based on Distributed Order Differential Equations with Applications to Cell Biology


Autoria(s): Andries, Erik; Umarov, Sabir; Steinberg, Stanly
Data(s)

29/08/2010

29/08/2010

2006

Resumo

Mathematics Subject Classification: 65C05, 60G50, 39A10, 92C37

In this paper the multi-dimensional Monte-Carlo random walk simulation models governed by distributed fractional order differential equations (DODEs) and multi-term fractional order differential equations are constructed. The construction is based on the discretization leading to a generalized difference scheme (containing a finite number of terms in the time step and infinite number of terms in the space step) of the Cauchy problem for DODE. The scaling limits of the constructed random walks to a diffusion process in the sense of distributions is proved.

Identificador

Fractional Calculus and Applied Analysis, Vol. 9, No 4, (2006), 351p-369p

1311-0454

http://hdl.handle.net/10525/1288

Idioma(s)

en

Publicador

Institute of Mathematics and Informatics Bulgarian Academy of Sciences

Palavras-Chave #Random Walk #Anomalous Diffusion #Confined Diffusion #Distributed Order Differential Equation #Monte-Carlo Simulation #65C05 #60G50 #39A10 #92C37
Tipo

Article