Tempered fractional Langevin-Brownian motion with inverse $\beta$-stable subordinator
Yao Chen, Xudong Wang, and Weihua Deng

TL;DR
This paper investigates the properties of tempered fractional Langevin motion and its time-changed version via inverse -stable subordinator, revealing diverse diffusion behaviors and differences from the original process.
Contribution
It provides a detailed analysis of the tempered fractional Langevin system under inverse -stable subordination, including diffusion types, moments, and correlation structures, highlighting novel behaviors.
Findings
Subordination can induce subdiffusion or superdiffusion depending on .
Time-changed processes show significant differences in statistical properties from original processes.
Correlation structures of increments are notably altered by the inverse -stable subordinator.
Abstract
Time-changed stochastic processes have attracted great attention and wide interests due to their extensive applications, especially in financial time series, biology and physics. This paper pays attention to a special stochastic process, tempered fractional Langevin motion, which is non-Markovian and undergoes ballistic diffusion for long times. The corresponding time-changed Langevin system with inverse -stable subordinator is discussed in detail, including its diffusion type, moments, Klein-Kramers equation, and the correlation structure. Interestingly, this subordination could result in both subdiffusion and superdiffusion, depending on the value of . The difference between the subordinated tempered fractional Langevin equation and the subordinated Langevin equation with external biasing force is studied for a deeper understanding of subordinator. The time-changed…
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.
