Global Continuation of Stable Periodic Orbits in Systems of Competing Predators
Kevin E. M. Church, Jia-Yuan Dai, Olivier Hénot, Phillipo Lappicy, Nicola Vassena
TL;DR
The article develops a rigorous, computer-assisted continuation framework to prove the global existence of a family of stable positive periodic orbits in a three-species predator–prey system with Holling type II functional response, connecting two boundary limit cycles via transcritical bifurcations.A zero-finding problem is formulated on a Fourier–Chebyshev coefficient space, and a Newton-like fixed-point operator is shown to be a contraction near a high-order numerical approximation, with interval-arithmetic verifications ensuring rigor. The main result demonstrates a stable branch parameterized by the carrying capacity $\kappa$ that spans from $\mathcal{C}_1$ to $\mathcal{C}_2$, with stability established along the entire branch and a detailed a posteriori framework for both existence and stability proofs. The methods are broadly applicable to other nonpolynomial vector fields and provide a concrete resolution of the stable connection problem proposed by Butler and Waltman.
Abstract
We develop a continuation technique to obtain global families of stable periodic orbits, delimited by transcritical bifurcations at both ends. To this end, we formulate a zero-finding problem whose zeros correspond to families of periodic orbits. We then define a Newton-like fixed-point operator and establish its contraction near a numerically computed approximation of the family. To verify the contraction, we derive sufficient conditions expressed as inequalities on the norms of the fixed-point operator, and involving the numerical approximation. These inequalities are then rigorously checked by the computer via interval arithmetic. To show the efficacy of our approach, we prove the existence of global families in an ecosystem with Holling's type II functional response, and thereby solve a stable connection problem proposed by Butler and Waltler in 1981. Our method does not rely on restricting the choice of parameters and is applicable to many other systems that numerically exhibit global families.
