{"title":"修正的莱斯利-高尔模型与霍林 I 型功能反应和猎物的食人行为","authors":"Rike Farikha Khofifah, Dian Savitri","doi":"10.24014/sitekin.v21i1.24529","DOIUrl":null,"url":null,"abstract":"The predator-prey model is the mathematical model that describes the interaction behavior between prey and predator. This research discusses the modified Leslie-Gower model by considering the cannibalism behaviors of the prey that contains Holling type I response function, which is a predator with passive characteristics. The stability analysis stage includes determining the system's solution in the form of an equilibrium point, analyzing the local stability of each equilibrium using eigenvalues, and numerical simulation to synchronize the analysis results. Numerical simulations visualized in phase portraits with Python software. The results of the local stability analysis of the system obtained four equilibrium points, namely, equilibrium points are unstable while is asymptotically stable with certain conditions. The results of numerical simulations show that only the equilibrium point which is asymptotically stable when the environment carries capacity parameters (e=2.1). Meanwhile, when e=2.878 then, only is asymptotically stable. In this research also using two different initial values, it is concluded that whatever the initial value used, the system solution always converges to the equilibrium points dan . Changes in environmental carrying capacity affect the dynamics of system solutions.","PeriodicalId":339766,"journal":{"name":"Jurnal Sains dan Teknologi Industri","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modified Leslie-Gower Model with Holling Type I Functional Responses and Cannibalism in Prey\",\"authors\":\"Rike Farikha Khofifah, Dian Savitri\",\"doi\":\"10.24014/sitekin.v21i1.24529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The predator-prey model is the mathematical model that describes the interaction behavior between prey and predator. This research discusses the modified Leslie-Gower model by considering the cannibalism behaviors of the prey that contains Holling type I response function, which is a predator with passive characteristics. The stability analysis stage includes determining the system's solution in the form of an equilibrium point, analyzing the local stability of each equilibrium using eigenvalues, and numerical simulation to synchronize the analysis results. Numerical simulations visualized in phase portraits with Python software. The results of the local stability analysis of the system obtained four equilibrium points, namely, equilibrium points are unstable while is asymptotically stable with certain conditions. The results of numerical simulations show that only the equilibrium point which is asymptotically stable when the environment carries capacity parameters (e=2.1). Meanwhile, when e=2.878 then, only is asymptotically stable. In this research also using two different initial values, it is concluded that whatever the initial value used, the system solution always converges to the equilibrium points dan . Changes in environmental carrying capacity affect the dynamics of system solutions.\",\"PeriodicalId\":339766,\"journal\":{\"name\":\"Jurnal Sains dan Teknologi Industri\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Sains dan Teknologi Industri\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24014/sitekin.v21i1.24529\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Sains dan Teknologi Industri","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24014/sitekin.v21i1.24529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
捕食者-猎物模型是描述猎物和捕食者之间相互作用行为的数学模型。本研究通过考虑含有霍林 I 型响应函数的猎物(即具有被动特征的捕食者)的食人行为,讨论了修正的莱斯利-高尔模型。稳定性分析阶段包括以平衡点的形式确定系统的解,利用特征值分析每个平衡点的局部稳定性,以及同步分析结果的数值模拟。数值模拟通过 Python 软件实现相位肖像可视化。系统局部稳定性分析结果得到了四个平衡点,即平衡点不稳定,而在一定条件下渐近稳定。数值模拟结果表明,只有当环境携带容量参数(e=2.1)时,平衡点是渐近稳定的。同时,当 e=2.878 时,只有平衡点是渐近稳定的。本研究还使用了两种不同的初始值,得出的结论是,无论使用哪种初始值,系统解总收敛于平衡点 dan。环境承载能力的变化会影响系统解的动态变化。
Modified Leslie-Gower Model with Holling Type I Functional Responses and Cannibalism in Prey
The predator-prey model is the mathematical model that describes the interaction behavior between prey and predator. This research discusses the modified Leslie-Gower model by considering the cannibalism behaviors of the prey that contains Holling type I response function, which is a predator with passive characteristics. The stability analysis stage includes determining the system's solution in the form of an equilibrium point, analyzing the local stability of each equilibrium using eigenvalues, and numerical simulation to synchronize the analysis results. Numerical simulations visualized in phase portraits with Python software. The results of the local stability analysis of the system obtained four equilibrium points, namely, equilibrium points are unstable while is asymptotically stable with certain conditions. The results of numerical simulations show that only the equilibrium point which is asymptotically stable when the environment carries capacity parameters (e=2.1). Meanwhile, when e=2.878 then, only is asymptotically stable. In this research also using two different initial values, it is concluded that whatever the initial value used, the system solution always converges to the equilibrium points dan . Changes in environmental carrying capacity affect the dynamics of system solutions.