2205.09395
FLUCTUATION ANALYSIS FOR A CLASS OF NONLINEAR SYSTEMS WITH FAST PERIODIC SAMPLING AND SMALL STATE-DEPENDENT WHITE NOISE
Shivam Dhama, Chetan D. Pahlajani
correctmedium confidence
- Category
- math.DS
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper’s Theorem 2.4 identifies the same limiting linear SDE for Z (with drift correction −(c/2)∫0^t J(x_s)[f(x_s)+g(x_s)κ(x_s)]ds) and proves the strong error bound E[sup_{t≤T}|Z^{ε,δ}_t−Z_t|] ≤ (c+1)[ε+√δ+κ(ε)] C e^{CT} for regimes with δ/ε→c, exactly as stated in equations (16)–(17) of the paper . The model’s solution reproduces these conclusions via a slightly different route: it linearizes, isolates the sampling bias with a clean Riemann-sum lemma, and closes with BDG+Grönwall. The paper obtains the bias by a careful multi-term decomposition (equations (10)–(13) and Proposition 4.1) and then bounds all remainders (Propositions 4.2–4.5) . The end results coincide in both the limit SDE and the pathwise error rate; thus both are correct, but the proofs differ in structure.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} strong field \textbf{Justification:} The manuscript rigorously develops a pathwise fluctuation theory for nonlinear SDEs with sampled feedback, identifying a sampling-induced drift correction and delivering a quantitative strong error estimate. The work generalizes prior linear analyses and is technically solid. The presentation can be streamlined in places—especially the bias identification—to improve readability, but the contribution is clear and substantive.