The subordinated processes controlled by a family of subordinators and corresponding Fokker-Planck type equations
Long Shi, Zu-Guo Yu, Hai-Lan Huang, Zhi Mao, Ai-Guo Xiao

TL;DR
This paper investigates subordinated stochastic processes influenced by specific subordinators, deriving fractional Fokker-Planck equations and analyzing their diffusive behaviors under various parameter settings.
Contribution
It introduces a new class of subordinated processes controlled by a family of subordinators and derives their corresponding fractional Fokker-Planck equations.
Findings
Derived fractional Fokker-Planck equations for the processes.
Computed mean square displacements under different parameters.
Identified conditions for subdiffusive, normal, and superdiffusive behaviors.
Abstract
In this work, we consider subordinated processes controlled by a family of subordinators which consist of a power function of time variable and a negative power function of stable random variable. The effect of parameters in the subordinators on the subordinated process is discussed. By suitable variable substitutions and Laplace transform technique, the corresponding fractional Fokker-Planck-type equations are derived. We also compute their mean square displacements in a free force field. By choosing suitable ranges of parameters, the resulting subordinated processes may be subdiffusive, normal diffusive or superdiffusive.
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 · Probabilistic and Robust Engineering Design · Statistical Mechanics and Entropy
