由具有时间依赖性的莱维噪声驱动的统一随机 SIR 模型

IF 3.1 3区数学 Q1 MATHEMATICS

Advances in Difference Equations Pub Date : 2024-07-16 DOI:10.1186/s13662-024-03818-3

Terry Easlick, Wei Sun

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引用次数: 0

摘要

我们提出了一个由列维噪声驱动的统一随机 SIR 模型。该模型结构合理，可以考虑时间依赖性、非线性、不连续性、人口统计和环境干扰。我们提出了关于正全局解的存在性和唯一性的简明结果，并研究了新模型的消亡和持久性。我们还提供了实例和模拟来说明主要结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A unified stochastic SIR model driven by Lévy noise with time-dependency

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A unified stochastic SIR model driven by Lévy noise with time-dependency

We propose a unified stochastic SIR model driven by Lévy noise. The model is structural enough to allow for time-dependency, nonlinearity, discontinuity, demography, and environmental disturbances. We present concise results on the existence and uniqueness of positive global solutions and investigate the extinction and persistence of the novel model. Examples and simulations are provided to illustrate the main results.

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来源期刊

Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS

CiteScore

8.60

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.