High order algorithms for Fokker-Planck equation with Caputo-Fabrizio fractional derivative
Minghua Chen, Jiankang Shi, Weihua Deng

TL;DR
This paper develops high-order numerical algorithms for the Fokker-Planck equation involving Caputo-Fabrizio fractional derivatives, enabling accurate modeling of complex physical phenomena with proven stability and convergence.
Contribution
It introduces novel discretization schemes for Caputo-Fabrizio derivatives with high-order accuracy and analyzes their stability and convergence for solving related fractional diffusion equations.
Findings
Discretization schemes with error order $ au^ u$ for $ u=1,2,3,4
Unconditional stability of the proposed schemes
Convergence with error $ au^2+h^2$
Abstract
Based on the continuous time random walk, we derive the Fokker-Planck equations with Caputo-Fabrizio fractional derivative, which can effectively model a variety of physical phenomena, especially, the material heterogeneities and structures with different scales. Extending the discretizations for fractional substantial calculus [Chen and Deng, \emph{ ESAIM: M2AN.} \textbf{49}, (2015), 373--394], we first provide the numerical discretizations of the Caputo-Fabrizio fractional derivative with the global truncation error . Then we use the derived schemes to solve the Caputo-Fabrizio fractional diffusion equation. By analysing the positive definiteness of the stiffness matrices of the discretized Caputo-Fabrizio operator, the unconditional stability and the convergence with the global truncation error are theoretically proved…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Mathematical functions and polynomials · Differential Equations and Numerical Methods
