CNRS, Université Gustave Eiffel, Champs-sur-Marne, France.
Univ. Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, 59000, Lille, France.
J Math Biol. 2023 Jun 19;87(1):13. doi: 10.1007/s00285-023-01939-z.
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.
洛特卡-沃尔泰拉(LV)方程在各种生态、生物和化学系统的数学建模中起着关键作用。当物种数量(或者,根据观点的不同,化学成分数量)变得很大时,计算幸存物种数量等基本但基本的问题仍然缺乏理论答案。在本文中,我们考虑了一个由 LV 方程组成的大型系统,其中各种物种之间的相互作用是随机矩阵的实现。我们提供了具有唯一平衡点的条件,并提出了一种启发式方法来计算幸存物种的数量。该启发式方法结合了随机矩阵理论、数学优化(LCP)和标准极值理论的观点。数值模拟以及一个随时间演变的相互作用强度的经验研究说明了结果的准确性和范围。