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2209.13273

On Unique Ergodicity Of Coupled AIMD Flows

Pietro Ferraro, Jia Yuan Yu, Ramen Ghosh, Syed Eqbal Alam, Jakub Marecek, Fabian Wirth, Robert Shorten

correctmedium confidence
Category
math.DS
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper proves unique ergodicity for the N-synchronised two-resource AIMD with finite averaging by lifting to X=Σ^{2N}, showing non-expansiveness for all Γ and a strict contraction Γ1 selected with uniformly positive probability, then applying a place-dependent IFS theorem to obtain a unique attractive invariant measure and almost-sure convergence of time-averages (Theorem 6). The candidate solution proves the same result by an equivalent place-dependent IFS route, using a slightly different metric and Elton’s ergodic theorem. The core mechanism—existence of a uniformly positive-probability strict contraction together with non-expansiveness of all other maps—is the same in both arguments. See the paper’s norm, lifting, and Theorem 6 statements and proof, including the definition of probabilities p_{ν,μ} and their positivity lower bound p̂ (>0) for Γ1 (, , , , ).

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

A technically sound and well-motivated note that cleanly extends unique ergodicity from single-resource to coupled, synchronised multi-resource AIMD under finite averaging. The proof is rigorous and leverages standard place-dependent IFS machinery. Minor clarifications around the factorisation of sequence probabilities and the role of the zero-sum subspace would further improve accessibility and completeness for a broad control audience.