Mean exit time and escape probability for the anomalous processes with the tempered power-law waiting times
Weihua Deng, Xiaochao Wu, and Wanli Wang

TL;DR
This paper derives nonlocal PDEs for mean exit time and escape probability in anomalous processes with tempered power-law waiting times, revealing their dependence on domain size, parameters, and jump distributions.
Contribution
It introduces the first derivation of PDEs governing exit times and escape probabilities for tempered Lévy processes with new insights into their properties.
Findings
Mean exit time depends on domain size, parameters, and diverges as tempering approaches zero.
Escape probability is independent of waiting time distribution for the considered model.
Boundary layer phenomena are observed in PDE solutions, motivating further boundary layer theory development.
Abstract
The mean first exit (passage) time characterizes the average time of a stochastic process never leaving a fixed region in the state space, while the escape probability describes the likelihood of a transition from one region to another for a stochastic system driven by discontinuous (with jumps) L\'evy motion. This paper discusses the two deterministic quantities, mean first exit time and escape probability, for the anomalous processes having the tempered L\'{e}vy stable waiting times with the tempering index and the stability index ; as for the distribution of jump lengths or the type of the noises driving the system, two cases are considered, i.e., Gaussian white noise and non-Gaussian (tempered) -stable () L\'{e}vy noise. Firstly, we derive the nonlocal elliptic partial differential equations (PDEs) governing the mean first exit time and…
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.
