Transition Path Theory For Lévy-Type Processes: SDE Representation and Statistics

Fuente: arXiv
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Main Authors: Huang, Yuanfei, Zhou, Xiang
Format: Preprint
Published: 2025
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author Huang, Yuanfei
Zhou, Xiang
author_facet Huang, Yuanfei
Zhou, Xiang
contents This paper establishes a Transition Path Theory (TPT) for Lévy-type processes, addressing a critical gap in the study of the transition mechanism between meta-stabile states in non-Gaussian stochastic systems. A key contribution is the rigorous derivation of the stochastic differential equation (SDE) representation for transition path processes, which share the same distributional properties as transition trajectories, along with a proof of its well-posedness. This result provides a solid theoretical foundation for sampling transition trajectories. The paper also investigates the statistical properties of transition trajectories, including their probability distribution, probability current, and rate of occurrence.
format Preprint
id arxiv_https___arxiv_org_abs_2506_09462
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Transition Path Theory For Lévy-Type Processes: SDE Representation and Statistics
Huang, Yuanfei
Zhou, Xiang
Probability
Mathematical Physics
This paper establishes a Transition Path Theory (TPT) for Lévy-type processes, addressing a critical gap in the study of the transition mechanism between meta-stabile states in non-Gaussian stochastic systems. A key contribution is the rigorous derivation of the stochastic differential equation (SDE) representation for transition path processes, which share the same distributional properties as transition trajectories, along with a proof of its well-posedness. This result provides a solid theoretical foundation for sampling transition trajectories. The paper also investigates the statistical properties of transition trajectories, including their probability distribution, probability current, and rate of occurrence.
title Transition Path Theory For Lévy-Type Processes: SDE Representation and Statistics
topic Probability
Mathematical Physics
url https://arxiv.org/abs/2506.09462