{"title":"Complex dynamic behaviour on fractional predator–prey model of mathematical ecology","authors":"Ajay Kumar, Dhirendra Bahuguna, Sunil Kumar","doi":"10.1007/s12190-024-02171-8","DOIUrl":null,"url":null,"abstract":"<p>In this paper, we present a mathematical predator–prey model in which the predator population is divided into two stages: mature (adult) stage and juvenile stage. Therefore, three coupled ordinary differential equations are incorporated in the predator–prey model with three state variables; mature predator, juvenile predator and prey. This predator–prey model is described in terms of Caputo, Caputo–Fabrizio (C–F) and fractal–fractional (F–F) operators. The fractional order predator–prey dynamical model helps to describe the efficacy (usefulness, effectiveness) of memory and hereditary properties with the help of fractional operators. We have investigated the uniqueness and existence of solutions with C–F and fractal–fractional (F–F) derivatives using the fixed point postulate. This model also exhibits Ulam’s type of stability based on nonlinear functional analysis. Numerical and behavioral analyses of the non-integer predator–prey model have been carried out using phase portraits. The predator–prey system with Caputo–Fabrizio (C–F) and fractal–fractional (F–F) operators have been solved numerically via the Adams-Bashforth scheme and new predictor–corrector scheme respectively. In an analysis of numerical simulations of predator–prey models, we have illustrated the effectiveness and applicability of these methods. Numerical simulations were performed using Matlab programming.\n</p>","PeriodicalId":15034,"journal":{"name":"Journal of Applied Mathematics and Computing","volume":"29 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Mathematics and Computing","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s12190-024-02171-8","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present a mathematical predator–prey model in which the predator population is divided into two stages: mature (adult) stage and juvenile stage. Therefore, three coupled ordinary differential equations are incorporated in the predator–prey model with three state variables; mature predator, juvenile predator and prey. This predator–prey model is described in terms of Caputo, Caputo–Fabrizio (C–F) and fractal–fractional (F–F) operators. The fractional order predator–prey dynamical model helps to describe the efficacy (usefulness, effectiveness) of memory and hereditary properties with the help of fractional operators. We have investigated the uniqueness and existence of solutions with C–F and fractal–fractional (F–F) derivatives using the fixed point postulate. This model also exhibits Ulam’s type of stability based on nonlinear functional analysis. Numerical and behavioral analyses of the non-integer predator–prey model have been carried out using phase portraits. The predator–prey system with Caputo–Fabrizio (C–F) and fractal–fractional (F–F) operators have been solved numerically via the Adams-Bashforth scheme and new predictor–corrector scheme respectively. In an analysis of numerical simulations of predator–prey models, we have illustrated the effectiveness and applicability of these methods. Numerical simulations were performed using Matlab programming.
期刊介绍:
JAMC is a broad based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. Major areas, such as numerical analysis, discrete optimization, linear and nonlinear programming, theory of computation, control theory, theory of algorithms, computational logic, applied combinatorics, coding theory, cryptograhics, fuzzy theory with applications, differential equations with applications are all included. A large variety of scientific problems also necessarily involve Algebra, Analysis, Geometry, Probability and Statistics and so on. The journal welcomes research papers in all branches of mathematics which have some bearing on the application to scientific problems, including papers in the areas of Actuarial Science, Mathematical Biology, Mathematical Economics and Finance.