2501.12569
Existence and asymptotic stability of a generic Lotka-Volterra system with nonlinear spatially heterogeneous cross-diffusion
Tianxu Wang, Jiwoon Sim, Hao Wang
correctmedium confidence
- Category
- Not specified
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper rigorously proves global bounded classical solutions and a complete stability classification for the three-compartment prey–taxis system with spatially heterogeneous predation and taxis in any dimension, using weighted Lpε estimates, heat-kernel bounds, and a generalized LaSalle principle. Its main results (Theorems 1.1–1.2) and the key technical lemmas are internally consistent and carefully justified, including the delicate handling of variable-coefficient cross-diffusion terms ∇(χi(x)h(·)∇·) and their derivatives. By contrast, the candidate solution’s Phase 1 relies on off-the-shelf “triangular cross-diffusion” W1,p-bounds and a Moser–Alikakos iteration without addressing the crucial variable-coefficient terms (∇χi, h′) or the need for weighted-in-time norms. It also incorrectly treats taxis fluxes as if χi were constant when invoking semigroup bootstraps. While its Phase 2 stability conclusions align in spirit with the paper, the candidate’s global existence and uniform-boundedness argument skips the core difficulties resolved in the paper and hence is incomplete in this general setting.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} strong field \textbf{Justification:} The manuscript addresses a challenging heterogeneous three-compartment prey–taxis system in arbitrary dimensions, achieving global classical boundedness and a comprehensive stability taxonomy. The weighted-in-time Lpε bootstrap, combined with heat-kernel bounds and maximal regularity, resolves obstacles that hindered prior homogeneous-coefficient approaches. The stability proofs via a generalized LaSalle principle are clean and robust. Minor revisions would further improve readability and navigation through the technical estimates.