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
- arXiv Links
- Abstract ↗PDF ↗
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.