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Main Authors: Deng, Wenmin, Zhang, Fu
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.15624
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author Deng, Wenmin
Zhang, Fu
author_facet Deng, Wenmin
Zhang, Fu
contents This paper investigates a class of stochastic Logistic harvesting models driven by tempered stable processes, with a one-sided power-law Lévy measure. We establish threshold conditions for population extinction and persistence, prove the distributional stability of the model, and derive explicit solutions for the optimal harvesting effort and the maximum sustainable yield. We systematically analyze the effects of white noise intensity and Lévy jump intensity on the optimal harvesting strategy. In particular, by focusing on the intrinsic structural parameters of the Lévy measure, namely the stability index and the tempering parameter, we elucidate their roles in shaping the optimal strategy and propose four targeted intervention strategies. Numerical simulations are presented to validate the theoretical findings.
format Preprint
id arxiv_https___arxiv_org_abs_2605_15624
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimal Harvesting of a Stochastic Logistic Model Driven by One-Sided Tempered Stable Process
Deng, Wenmin
Zhang, Fu
Optimization and Control
Probability
This paper investigates a class of stochastic Logistic harvesting models driven by tempered stable processes, with a one-sided power-law Lévy measure. We establish threshold conditions for population extinction and persistence, prove the distributional stability of the model, and derive explicit solutions for the optimal harvesting effort and the maximum sustainable yield. We systematically analyze the effects of white noise intensity and Lévy jump intensity on the optimal harvesting strategy. In particular, by focusing on the intrinsic structural parameters of the Lévy measure, namely the stability index and the tempering parameter, we elucidate their roles in shaping the optimal strategy and propose four targeted intervention strategies. Numerical simulations are presented to validate the theoretical findings.
title Optimal Harvesting of a Stochastic Logistic Model Driven by One-Sided Tempered Stable Process
topic Optimization and Control
Probability
url https://arxiv.org/abs/2605.15624