Xiuying Guo , Caiyun Huang , Zikun Han , Rong Wang , Qiubao Wang
{"title":"The effect of communication delay and environmental uncertainties on the evolution of love model","authors":"Xiuying Guo , Caiyun Huang , Zikun Han , Rong Wang , Qiubao Wang","doi":"10.1016/j.chaos.2025.116732","DOIUrl":null,"url":null,"abstract":"<div><div>This paper aims to study the effect of communication delay(the time of the first exchange in which the conflict occurred) and stochastic disturbance on human emotional relationship based on love model. It is characterized by nonlinear stochastic delay differential equations. The delay term and the random term represent the communication interval between two people and the uncertainty of the environment, respectively. Firstly, the characteristic root analysis of linear equation is carried out. Then, the system is effectively reduced by combining the central manifold theory and stochastic averaging method. On this basis, the stochastic dynamic behavior of the system is studied using <span><math><mi>τ</mi></math></span> as the bifurcation parameter. The results of theoretical analysis are verified by numerical analysis. In addition, using the communication interval of two people as a parameter, the variance graph of love between two people is obtained. As you can see, regardless of romantic style, when the communication interval exceeds the threshold, the relationship will fluctuate. So in order for the love to last long, timely communication and frequent meeting is very important. Although this paper is a simple binary relationship model, it lays a foundation for the study of more complex human emotional relationships model.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"199 ","pages":"Article 116732"},"PeriodicalIF":5.3000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077925007453","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper aims to study the effect of communication delay(the time of the first exchange in which the conflict occurred) and stochastic disturbance on human emotional relationship based on love model. It is characterized by nonlinear stochastic delay differential equations. The delay term and the random term represent the communication interval between two people and the uncertainty of the environment, respectively. Firstly, the characteristic root analysis of linear equation is carried out. Then, the system is effectively reduced by combining the central manifold theory and stochastic averaging method. On this basis, the stochastic dynamic behavior of the system is studied using as the bifurcation parameter. The results of theoretical analysis are verified by numerical analysis. In addition, using the communication interval of two people as a parameter, the variance graph of love between two people is obtained. As you can see, regardless of romantic style, when the communication interval exceeds the threshold, the relationship will fluctuate. So in order for the love to last long, timely communication and frequent meeting is very important. Although this paper is a simple binary relationship model, it lays a foundation for the study of more complex human emotional relationships model.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.