On the analysis of a higher-order Lotka-Volterra model: an application of S-tensors and the polynomial complementarity problem
Shaoxuan Cui, Qi Zhao, Guofeng Zhang, Hildeberto Jard\'on-Kojakhmetov, and Ming Cao

TL;DR
This paper extends the classical Lotka-Volterra ecological model to include higher-order interactions using S-tensors, providing theoretical results on equilibrium existence, uniqueness, and stability, supported by numerical examples.
Contribution
It introduces a general higher-order Lotka-Volterra model with S-tensors and establishes foundational mathematical results on equilibria, advancing ecological modeling beyond pairwise interactions.
Findings
Existence of positive equilibrium proven using S-tensors.
Conditions for uniqueness and stability of equilibria established.
Numerical examples illustrate theoretical results.
Abstract
It is known that the effect of species' density on species' growth is non-additive in real ecological systems. This challenges the conventional Lotka-Volterra model, where the interactions are always pairwise and their effects are additive. To address this challenge, we introduce HOIs (Higher-Order Interactions) which are able to capture, for example, the indirect effect of one species on a second one correlating to a third species. Towards this end, we propose a general higher-order Lotka-Volterra model. We provide an existence result of a positive equilibrium for a non-homogeneous polynomial equation system with the help of S-tensors. Afterward, by utilizing the latter result, as well as the theory of monotone systems and results from the polynomial complementarity problem, we provide comprehensive results regarding the existence, uniqueness, and stability of the corresponding…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRailway Engineering and Dynamics
