On dynamical behaviors in the fractional generalized Langevin equation
Yun Jeong Kang, Kyungsik Kim

TL;DR
This paper investigates the active dynamics described by a fractional generalized Langevin equation with memory effects, deriving the Fokker-Planck equation to analyze statistical properties like mean squared displacement and velocity.
Contribution
It introduces a derivation of the Fokker-Planck equation from a second-order fractional Langevin equation with a memory kernel, enabling detailed statistical analysis.
Findings
Derived the Fokker-Planck equation for the fractional Langevin system.
Calculated mean squared displacement and velocity in various three-time domains.
Provided insights into the statistical behavior of systems with memory effects.
Abstract
The focus of our study in this paper is on the active dynamics and a fractional generalized Langevin equation with a memory kernel K(t). The Fokker-Planck equation is obtained by deriving it from a second-order differential equation. The joint probability density we obtained enables us to calculate various statistical quantities such as mean squared displacement and mean squared velocity in different three-time domains.
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Taxonomy
TopicsFractional Differential Equations Solutions · stochastic dynamics and bifurcation · Molecular Communication and Nanonetworks
