A classification of the dynamics of three-dimensional stochastic ecological systems
Alexandru Hening, Dang H. Nguyen, and Sebastian J. Schreiber

TL;DR
This paper classifies the long-term behavior of three-species stochastic ecological systems, showing that their dynamics are determined by a finite set of stationary distributions and Lyapunov exponents, supporting ecological coexistence theory.
Contribution
It proves a variant of Palis' conjecture for stochastic models, establishing a finite classification of long-term behaviors based on Lyapunov exponents.
Findings
Three types of long-term behavior are identified.
Classification reduces to computing Lyapunov exponents.
Results support and provide a foundation for modern coexistence theory.
Abstract
The classification of the long-term behavior of dynamical systems is a fundamental problem in mathematics. For both deterministic and stochastic dynamics specific classes of models verify Palis' conjecture: the long-term behavior is determined by a finite number of stationary distributions. In this paper we consider the classification problem for stochastic models of interacting species. For a large class of three-species, stochastic differential equation models, we prove a variant of Palis' conjecture: the long-term statistical behavior is determined by a finite number of stationary distributions and, generically, three general types of behavior are possible: 1) convergence to a unique stationary distribution that supports all species, 2) convergence to one of a finite number of stationary distributions supporting two or fewer species, 3) convergence to convex combinations of single…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Ecosystem dynamics and resilience · Mathematical and Theoretical Epidemiology and Ecology Models
