Coupled nonlinear stochastic integral equations in the general form of the predator-prey model

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-14 DOI:10.1016/j.amc.2024.129123
Hengameh Tamimi, Mohammad Bagher Ghaemi, Reza Saadati
{"title":"Coupled nonlinear stochastic integral equations in the general form of the predator-prey model","authors":"Hengameh Tamimi,&nbsp;Mohammad Bagher Ghaemi,&nbsp;Reza Saadati","doi":"10.1016/j.amc.2024.129123","DOIUrl":null,"url":null,"abstract":"<div><div>This article explores the stochastic predator-prey model. This model offers a probabilistic framework for understanding the dynamics of interacting species. The stochastic predator-prey model is a practical tool for predicting the intricate balance of survival between predators and their prey in the face of nature's unpredictability. This study introduces a new measure of noncompactness and applies it to investigate solutions in nonlinear stochastic equations. Additionally, we present a numerical method using block pulse functions and demonstrate its convergence through the new measure of noncompactness for solving the system of stochastic integrals. Finally, the proposed method is employed to solve a numerical example.</div></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0096300324005848","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

This article explores the stochastic predator-prey model. This model offers a probabilistic framework for understanding the dynamics of interacting species. The stochastic predator-prey model is a practical tool for predicting the intricate balance of survival between predators and their prey in the face of nature's unpredictability. This study introduces a new measure of noncompactness and applies it to investigate solutions in nonlinear stochastic equations. Additionally, we present a numerical method using block pulse functions and demonstrate its convergence through the new measure of noncompactness for solving the system of stochastic integrals. Finally, the proposed method is employed to solve a numerical example.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
捕食者-猎物模型一般形式中的耦合非线性随机积分方程
本文探讨了随机捕食者-猎物模型。该模型为理解相互作用物种的动态提供了一个概率框架。面对自然界的不可预测性,随机捕食者-猎物模型是预测捕食者和猎物之间错综复杂的生存平衡的实用工具。本研究引入了一种新的非紧凑性测量方法,并将其应用于研究非线性随机方程的解。此外,我们还提出了一种使用块脉冲函数的数值方法,并通过新的非紧凑性度量证明了该方法在求解随机积分系统时的收敛性。最后,我们利用所提出的方法求解了一个数值示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊最新文献
Hyperbaric oxygen treatment promotes tendon-bone interface healing in a rabbit model of rotator cuff tears. Oxygen-ozone therapy for myocardial ischemic stroke and cardiovascular disorders. Comparative study on the anti-inflammatory and protective effects of different oxygen therapy regimens on lipopolysaccharide-induced acute lung injury in mice. Heme oxygenase/carbon monoxide system and development of the heart. Hyperbaric oxygen for moderate-to-severe traumatic brain injury: outcomes 5-8 years after injury.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1