High order algorithm for the time-tempered fractional Feynman-Kac equation
Minghua Chen, Weihua Deng

TL;DR
This paper develops and analyzes high-order, unconditionally stable algorithms for the time-tempered fractional Feynman-Kac equation, enabling accurate simulations of anomalous particle motion with complex distributions.
Contribution
The paper introduces a novel discretization scheme for the time-tempered fractional substantial derivative, achieving second-order accuracy and stability for the first time.
Findings
The algorithms are unconditionally stable with ( au^2+h^2) accuracy.
Numerical verification confirms second-order convergence in complex space.
Simulations of first passage time distributions demonstrate practical effectiveness.
Abstract
We provide and analyze the high order algorithms for the model describing the functional distributions of particles performing anomalous motion with power-law jump length and tempered power-law waiting time. The model is derived in [Wu, Deng, and Barkai, Phys. Rev. E., 84 (2016), 032151], being called the time-tempered fractional Feynman-Kac equation. The key step of designing the algorithms is to discretize the time tempered fractional substantial derivative, being defined as where $$D_t^{\gamma,\widetilde{\lambda}} G(x,p,t) =\frac{1}{\Gamma(1-\gamma)} \left[\frac{\partial}{\partial t}+\widetilde{\lambda} \right]…
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Taxonomy
TopicsFractional Differential Equations Solutions · Nonlinear Waves and Solitons
