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2208.04068

SYSTEMATIC REVIEW OF NEWTON-SCHULZ ITERATIONS WITH UNIFIED FACTORIZATIONS : INTEGRATION IN THE RICHARDSON METHOD AND APPLICATION TO ROBUST FAILURE DETECTION IN ELECTRICAL NETWORKS

Alexander Stotsky

correctmedium confidence
Category
Not specified
Journal tier
Specialist/Solid
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper defines the two-step combination (Γ_k, L_k, G_k) and states the error identities F_k = Γ_k^n F_{k-1}^n (with a short derivation) and the closed form F_k = F_0^{k n^{k+1} + n^k} for n > 1 (its derivation deferred to “explicit evaluation”), see equations (16)–(22) and (21) in the paper . The candidate solution proves the same results in full detail via (i) an induction showing L_k A = I − Γ_k^n, (ii) multiplying the G_k update by A and using the geometric-sum identity to obtain F_k = Γ_k^n F_{k-1}^n, and (iii) solving the resulting exponent recurrence to get F_k = F_0^{k n^{k+1} + n^k}. Both arguments rely on the same algebraic identities and the structure Γ_k = Γ_{k-1}^n; the model simply fills in details the paper sketches. Convergence conditions (e.g., ρ(F_0) < 1) are noted in the paper for Newton–Schulz methods (equation (8)) but are not needed for the finite algebra used here .

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The combined Newton–Schulz scheme and its error model are algebraically correct and consistent with the established hyperpower/NS framework. The exposition effectively unifies results but occasionally leaves key algebraic steps to the reader (e.g., the geometric-series derivation of Γ\_k\^n = I − L\_k A and the explicit solution for the exponent in F\_k). Filling in these brief steps would improve accessibility without altering the contributions.