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
- arXiv Links
- Abstract ↗PDF ↗
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.