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2410.09154

A New Perspective on Determining Disease Invasion and Population Persistence in Heterogeneous Environments

Poroshat Yazdanbakhsh, Mark Anderson, Zhisheng Shuai

correctmedium confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper establishes the asymptotic expansion r(µ)=s(Q−µL)=∑i qiθi + (1/µ)∑i∑j qi ℓ#_{ij} qj θj + o(1/µ), proves monotone-decreasing and convex-in-µ behavior, and gives the sharp bounds ∑i qiθi ≤ r(µ) ≤ max_i qi, with the scalar case r(µ)≡q, all under the standard assumptions on an irreducible Laplacian L and diagonal Q. These appear in Theorem 3.2, Corollary 3.2.1, and Theorem 3.4, with supporting preliminaries on L# and θ (e.g., 1^⊤L=0, Lθ=0, LL#=I−θ1^⊤) . The candidate solution reproduces the same main expansion using a Lyapunov–Schmidt/group-inverse reduction around the simple zero eigenvalue of −L and derives the same scalar case and bounds. Its approach is essentially the same as the paper’s perturbative derivation with L#, albeit via an explicit projector notation P=θ1^⊤ and N=I−P. Two minor issues: (i) a typographical slip omits an ε factor in the identity relating λ and 1^⊤Qx, though the subsequent formulas use the correct scaling; and (ii) the stated O(1/µ^2) remainder is stronger than the paper’s o(1/µ) and is not justified in the write-up. The lower bound A ≤ r(µ) is obtained in the paper via monotonicity in µ, while the model argues via convexity in q; the latter is plausible (and numerically consistent) but needs a brief justification. Overall, both are correct and closely aligned in proof strategy, with the paper slightly more careful about remainder order and µ-monotonicity .

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The manuscript offers a rigorous and interpretable expansion for the spectral bound of Jacobians of the form Q−µL in heterogeneous network models, with meaningful biological interpretations and demonstrative applications. The mathematical development is standard but well executed, the heterogeneity index H is insightful, and the results should be useful to researchers in mathematical epidemiology and ecology. Minor presentation and notation updates would further improve clarity.