{"title":"Energetic Derivation and Geometric Reduction of Reaction–Diffusion Systems With Holling-Type Functional Responses","authors":"Jan-Eric Sulzbach","doi":"10.1111/sapm.70329","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>We derive and reduce a thermodynamically consistent class of ecological reaction–diffusion models with Holling-type functional responses. Starting from an open reaction network involving water, two biomass states, and reservoir species, we embed the system into a closed reversible network and use the Energetic Variational Approach (EnVarA) to obtain a reaction–diffusion system with entropy structure, detailed-balance equilibria, and mass-action kinetics generated by a logarithmic reaction dissipation. We then pass formally to an open ecological subsystem via a sustained-reservoir limit and identify fast-reaction scalings that lead to Holling type I, II, and III responses. The type I and type III reductions are presented as formal asymptotic limits, together with the estimates needed for rigorous justification. For the Holling type II regime, we apply geometric singular perturbation theory for fast-reaction PDEs. Under normal hyperbolicity, spectral splitting, and bounded-chart assumptions, the singularly perturbed system admits a locally invariant attracting slow manifold near the critical manifold, and the semiflow on this manifold converges to the reduced Holling type II dynamics. The results connect thermodynamic closure, energetic variational modeling, functional-response reductions, and slow-manifold dynamics in multiscale reaction–diffusion systems.</p></div>","PeriodicalId":51174,"journal":{"name":"Studies in Applied Mathematics","volume":"157 4","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/sapm.70329","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
We derive and reduce a thermodynamically consistent class of ecological reaction–diffusion models with Holling-type functional responses. Starting from an open reaction network involving water, two biomass states, and reservoir species, we embed the system into a closed reversible network and use the Energetic Variational Approach (EnVarA) to obtain a reaction–diffusion system with entropy structure, detailed-balance equilibria, and mass-action kinetics generated by a logarithmic reaction dissipation. We then pass formally to an open ecological subsystem via a sustained-reservoir limit and identify fast-reaction scalings that lead to Holling type I, II, and III responses. The type I and type III reductions are presented as formal asymptotic limits, together with the estimates needed for rigorous justification. For the Holling type II regime, we apply geometric singular perturbation theory for fast-reaction PDEs. Under normal hyperbolicity, spectral splitting, and bounded-chart assumptions, the singularly perturbed system admits a locally invariant attracting slow manifold near the critical manifold, and the semiflow on this manifold converges to the reduced Holling type II dynamics. The results connect thermodynamic closure, energetic variational modeling, functional-response reductions, and slow-manifold dynamics in multiscale reaction–diffusion systems.
期刊介绍:
Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.