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2507.16915

Avoiding spectral pollution for transfer operators using residuals

April Herwig, Matthew J. Colbrook, Oliver Junge, Péter Koltai, Julia Slipantschuk

correctmedium confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:57 AM

Audit review

The paper rigorously derives that the kernel residual kres(λ)^2 equals the minimum Rayleigh–Ritz value of the Hermitian matrix Ũ(λ)=J̃−λÃ−λ̄Ã*+|λ|²G̃ and provides a convergence result that is one-sided: lim_{r→∞} lim_{M→∞} kres(λ;r,M) ≤ μ1 inf_{∥h∥=1} ∥(L−λ)h∥, with no uniform lower bound. The candidate solution, however, incorrectly identifies the limiting quadratic form with the L2-residual ⟨Lf,Lg⟩ structure, assumes operator-norm convergence to that L2 form, concludes equality to the L2 pseudospectral gauge ψ(λ), and claims a two-sided certification ruling out spectral pollution. These steps contradict the paper’s analysis, which emphasizes the weighted (Mercer-feature) residual, the μ1 factor, and the lack of a uniform lower bound.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper develops a principled residual framework for transfer operators that is both rigorous and practically useful. The fixed-M,r identity and the one-sided asymptotic bound are correct and well-motivated, and the numerical case studies are compelling. Clarifying threshold scaling (via μ1) and providing brief guidance on finite-sample error budgeting would make the exposition even stronger.