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2412.02710

Multidimensional Opinion Dynamics with Heterogeneous Bounded Confidences and Random Interactions

Jiangjiang Cheng, Ge Chen, Wenjun Mei, Francesco Bullo

correcthigh confidence
Category
Not specified
Journal tier
Strong Field
Processed
Sep 28, 2025, 12:56 AM

Audit review

The paper proves almost-sure finite-time convergence and a negative-exponential mean-square rate for the heterogeneous, multidimensional RIBC model under the uniform full-support and independence assumption on Et, with the same absorbing-set characterization and the same explicit Tn bound and geometric tail as in the candidate solution. The proof strategy in the paper—reduce to a controllable (CIBC) system, design a merging schedule to achieve a uniform Tn, and then lift back via block-independence—matches the candidate’s outline essentially step-for-step; differences (e.g., naming Borel–Cantelli vs. using a direct geometric bound, or the specific control algorithmic details) are cosmetic. See Theorem 2 and its proof sketch, the CIBC bridge, and the Tn bound and final probabilistic estimate in the paper .

Referee report (LaTeX)

\textbf{Recommendation:} minor revisions

\textbf{Journal Tier:} strong field

\textbf{Justification:}

The paper delivers a clear, rigorous, and quantitatively explicit convergence theory for a heterogeneous, multidimensional bounded-confidence model with random interactions. The CIBC reduction and merging schedule are well-designed and produce sharp, explicit constants. Minor clarifications to assumptions and streamlining of Algorithm 1 would further aid readability, but the contribution is solid and significant for the field.