Post-Cutoff Behavior for Repeated Averages

Abstract

We study a continuous-time repeated averaging process on n coordinates under a mean-zero initialization. At logarithmic time scales, the empirical distribution of appropriately normalized coordinates converges in probability to a Gaussian mixture, identifying the asymptotic behavior of the process beyond the L1 cutoff.