Equilibrium and surviving species in a large Lotka-Volterra system of differential equations.

Large random matrices Linear complementarity problems Lotka–Volterra equations Stability of food webs

Journal

Journal of mathematical biology
ISSN: 1432-1416
Titre abrégé: J Math Biol
Pays: Germany
ID NLM: 7502105

Informations de publication

Date de publication:
19 06 2023
Historique:
received: 27 10 2022
accepted: 19 05 2023
revised: 25 04 2023
medline: 21 6 2023
pubmed: 19 6 2023
entrez: 19 6 2023
Statut: epublish

Résumé

Lotka-Volterra (LV) equations play a key role in the mathematical modeling of various ecological, biological and chemical systems. When the number of species (or, depending on the viewpoint, chemical components) becomes large, basic but fundamental questions such as computing the number of surviving species still lack theoretical answers. In this paper, we consider a large system of LV equations where the interactions between the various species are a realization of a random matrix. We provide conditions to have a unique equilibrium and present a heuristics to compute the number of surviving species. This heuristics combines arguments from Random Matrix Theory, mathematical optimization (LCP), and standard extreme value theory. Numerical simulations, together with an empirical study where the strength of interactions evolves with time, illustrate the accuracy and scope of the results.

Identifiants

pubmed: 37335417
doi: 10.1007/s00285-023-01939-z
pii: 10.1007/s00285-023-01939-z
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Maxime Clenet (M)

CNRS, Université Gustave Eiffel, Champs-sur-Marne, France. maxime.clenet@univ-eiffel.fr.

François Massol (F)

Univ. Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, 59000, Lille, France.

Jamal Najim (J)

CNRS, Université Gustave Eiffel, Champs-sur-Marne, France.

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