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2412.10559

Error Estimation and Stopping Criteria for Krylov-Based Model Order Reduction in Acoustics

Siyang Hu, Nick Wulbusch, Alexey Chernov, Tamara Bechtold

correcthigh confidence
Category
math.DS
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper proves two claims: (i) ||G(s)−Gr(s)|| = ||Gr+1(s)−Gr(s)|| + O(|s−s0|^{r+1}) via moment matching plus the reverse triangle inequality, and (ii) under G(s0)≠0 and Gq(s0)≠0 (q=r,r+1), the relative-error estimators Êr(s) and Ẽr(s) approximate Er(s) to order r+1 near s0. These are stated as Theorems 4.1–4.2 and justified using the Taylor/moment expansions of G, Gr, Gr+1 about s0 and basic norm inequalities . The setup and moment-matching properties for second-order Krylov reductions are given earlier (definitions of transfer functions and the moment interpretation as negative Taylor coefficients) . The candidate solution follows the same structure: it expands G, Gr, Gr+1 around s0, notes equality of the first r (or r+1) moments, factors the differences as powers of Δ=s−s0, applies the reverse triangle inequality for part (a), and then uses continuity and lower bounds on ||G||, ||Gr||, ||Gr+1|| to prove the O(|Δ|^{r+1}) accuracy of Êr and Ẽr in part (b). The reasoning matches the paper’s, with slightly more explicit bounding of analytic remainders, so both are correct and essentially the same proof.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The paper gives an elementary but useful justification of a heuristic estimator that is common in industrial MOR workflows. The claims are correct under natural analyticity and non-vanishing assumptions, and the presentation is clear overall. The contribution is incremental but practically relevant. Minor clarifications on assumptions and the analytic setting would improve rigor and readability.