2105.05965
A new stochastic framework for ship capsizing
Manuela L. Bujorianu, Robert S. MacKay, Tobias Grafke, Shibabrat Naik, Evangelos Boulougouris
correctmedium confidence
- Category
- Not specified
- Journal tier
- Specialist/Solid
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper explicitly states the committor-based identity for the density of reactive trajectories ρ_R(x) = q+(x) ρ(x) q−(x) and frames capsize time as the first intersection with a dividing manifold whose distribution function’s derivative is the (unconditional) capsize rate, and it notes that filtered-white-noise forcing makes the augmented state (x,z) Markovian . The candidate solution gives standard measure-theoretic justifications of these claims (factorization via Markov property, stopping-time via Debut theorem) and clarifies regularity assumptions. Thus, the paper’s statements are correct at a high level, and the model’s solution provides a compatible, more rigorous proof sketch. Minor clarifications (e.g., differentiability of F for r(t)=F′(t), measurability/boundary conditions for committors) would strengthen the paper.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions
\textbf{Journal Tier:} specialist/solid
\textbf{Justification:}
A concise, well-motivated synthesis connecting deterministic dividing-manifold methods with stochastic reachability for capsize. The main statements on committor-based reactive density, Markov augmentation under filtered noise, and the interpretation of the capsize rate are correct and useful. Some definitions and assumptions should be stated precisely to avoid ambiguity and to align fully with standard stochastic-process terminology.