Hydrodynamic limit for repeated averages on the complete graph

We establish a hydrodynamical limit for the averaging process on the complete graph with N vertices, showing that, after a timescale of order N, the empirical distribution of opinions converges to a unique measure. Moreover, if the initial distribution is absolutely continuous concerning the Lebesgue measure, the limiting measure remains absolutely continuous and its density satisfies a non-diffusive differential equation, that resembles the Smoluchowski coagulation equation.

Publication Details

Journal
ArXiv.org
Published
2025-03-25
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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article

Hydrodynamic limit for repeated averages on the complete graph

ArXiv.org
Stochastic processes and statistical mechanics
article

Hydrodynamic limit for repeated averages on the complete graph

article en

Abstract

We establish a hydrodynamical limit for the averaging process on the complete graph with N vertices, showing that, after a timescale of order N, the empirical distribution of opinions converges to a unique measure. Moreover, if the initial distribution is absolutely continuous concerning the Lebesgue measure, the limiting measure remains absolutely continuous and its density satisfies a non-diffusive differential equation, that resembles the Smoluchowski coagulation equation.

ArXiv.org
Openalex Percentile: Top 46%
Stochastic processes and statistical mechanics
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