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2006.10799

Higher order analysis on the existence of periodic solutions in continuous differential equations via coincidence degree

Douglas D. Novaes, Francisco B. G. Silva

correcthigh confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:55 AM

Audit review

The paper states and proves a higher-order averaging existence theorem for continuous (non-Lipschitz) systems using coincidence degree. Hypothesis (H) and the boundary-gap condition lead to Theorem A (via the full averaged map f) and then to Theorem B (via the truncated average F_k), with the key reduction d((L, N̂_ε), Ω) = d_B(J Q N_ε|_{Ω∩Ker L}, Ω∩Ker L, 0) justified by Proposition 5 and Lemma 6 together with the homotopy Ñ_ε(x, λ) = QN_ε(x) + λε(I − Q)N_ε(x) and Condition (C) implied by (H) and f ≠ 0 on ∂V (see Hypothesis (H) and Theorems A–B; proofs via Proposition 5, Lemma 6, and Condition (C) checks) . The model’s approach mirrors this plan but makes a critical error: it asserts that the coincidence degree D(L − ε λ N, W) is well-defined and constant in λ for all λ ∈ [0,1], and then evaluates it at λ = 0 by treating Lx = 0 directly. At λ = 0 the equation Lx = 0 has a continuum of boundary solutions (constant functions on ∂V), so the coincidence degree is not defined there; one must instead use the paper’s equivalent formulation (via N̂_ε and the JQN_ε reduction) to compute the Brouwer degree at λ = 0. This technical step is essential and is handled correctly in the paper but is missing/misstated in the model’s proof .

Referee report (LaTeX)

\textbf{Recommendation:} no revision

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The manuscript supplies a rigorous higher-order averaging existence theory for continuous (non-Lipschitz) systems using coincidence degree. It fills a gap between existing Lipschitz and discontinuous frameworks. The assumptions are natural, the functional-analytic setup is precise, and the reduction of the coincidence degree to a finite-dimensional Brouwer degree is handled carefully. The results are significant for applications where uniqueness fails.