$\Lambda$-Wright--Fisher processes with general selection and opposing environmental effects: fixation and coexistence
Fernando Cordero, Sebastian Hummel, Gr\'egoire V\'echambre

TL;DR
This paper analyzes the long-term behavior of $ ext{Lambda}$-Wright--Fisher processes with complex selection and environmental effects, revealing new phenomena like boundary repulsion and coexistence, with explicit criteria and probabilistic representations.
Contribution
It introduces a novel analysis of boundary behaviors in $ ext{Lambda}$-Wright--Fisher processes using Siegmund duality, addressing models previously intractable by traditional methods.
Findings
Boundary points can be repelling, enabling coexistence.
Explicit criteria distinguish between different boundary behaviors.
A new probabilistic representation of fixation probability is provided.
Abstract
Our results characterize the long-term behavior for a broad class of -Wright--Fisher processes with frequency-dependent and environmental selection. In particular, we reveal a rich variety of parameter-dependent behaviors and provide explicit criteria to discriminate between them. That includes the situation in which the (entire) boundary is repelling -- a new phenomenon in this context. This has significant biological implications, because it means that selection alone can maintain coexistence. If a boundary point is attractive, we derive polynomial/exponential decay rates for the probability of not being polynomially/exponentially close to that boundary, depending on some weak/strong integrability conditions. Moreover, we provide a handy representation of the fixation probability. In our proofs we make use of Siegmund duality. The dual process can be sandwiched near the…
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
TopicsStochastic processes and financial applications · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematical Biology Tumor Growth
