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2401.17954

Stabilisation of stochastic single-file dynamics using port-Hamiltonian systems

Julia Ackermann, Matthias Ehrhardt, Thomas Kruse, Antoine Tordeux

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

Audit review

The paper establishes (i) weak convergence of Z̃(t) to a Gaussian with mean [L/N·1; 0] for γ>0 (Proposition 9) and (ii) the stationary covariance by solving the Lyapunov equation BΣ+ΣB^⊤=−GG^⊤ together with block relations, yielding V2=0, V3 given by the circulant formula (21), and V1=α^{−2}(V3−σ^2/(2γN)·11^⊤) . It also proves the large-N limit v_j→σ^2 a^j/(2F) using a contour-integral argument, matching the model’s closed form . The candidate solution reaches the same conclusions via DFT-based OU mode decomposition and a standard trigonometric integral identity; no substantive conflicts were found.

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} specialist/solid

\textbf{Justification:}

The study is technically sound and clearly presents how a port-Hamiltonian control term stabilizes noisy single-file dynamics. The analysis of long-time behavior, the exact stationary covariance, and the large-N asymptotics is complete and correct. The contribution is focused but useful for stochastic networked systems and traffic flow modeling. Minor additions would improve self-containment and reader accessibility.