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Probabilistic solutions of fractional differential and partial differential equations and their Monte Carlo simulations

T. Oraby, E. Suazo and H. Arrubla

Chaos, Solitons & Fractals, 2023, vol. 166, issue C

Abstract: The work in this paper is four-fold. Firstly, we introduce an alternative approach to solve fractional ordinary differential equations as an expected value of a random time process. Using the latter, we present an interesting numerical approach based on Monte Carlo integration to simulate solutions of fractional ordinary and partial differential equations. Thirdly, we show that this approach allows us to find the fundamental solutions for fractional partial differential equations (PDEs), in which the fractional derivative in time is in the Caputo sense and the fractional in space one is in the Riesz–Feller sense. Lastly, using Riccati equation, we study families of fractional PDEs with variable coefficients which allow explicit solutions. Those solutions connect Lie symmetries to fractional PDEs.

Keywords: Caputo fractional derivative; Riesz–Feller fractional derivative; Riccati equation; Lie symmetries; Green functions; Monte Carlo integration; Mittag-Leffler function (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:166:y:2023:i:c:s0960077922010803

DOI: 10.1016/j.chaos.2022.112901

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