Propagation of chaos in Fisher information
Jules Grass (ICJ, PSPM), Christophe Poquet (ICJ, PSPM), Arnaud Guillin (LMBP)

TL;DR
This paper introduces a novel method to establish sharp local propagation of chaos in Fisher Information for particle systems with smooth interactions, extending previous work and demonstrating optimal decay rates.
Contribution
The authors develop a new approach using a lemma on Fisher Information and the BBGKY hierarchy to prove propagation of chaos in Fisher Information, generalizing prior results.
Findings
New method for sharp local propagation of chaos in Fisher Information
Generalization of Lacker's work using BBGKY hierarchy
Optimal decay rate demonstrated with Gaussian example
Abstract
We present a new method for proving sharp local propagation of chaos in Fisher Information for particles with smooth interaction and drift. We rely on a new Lemma computing the Fisher Information of two diffusion processes with smooth drifts and fine estimates on the hessian of the law of the solution of the McKean-Vlasov equation. It allows us to obtain a new propagation of chaos in Fisher information, generalizing Lacker's seminal work by using the BBGKY hierarchy to obtain a system of differential inequalities satisfied by both the relative entropy and the Fisher Information of k particles. We also show with a simple Gaussian example that our decay rate is optimal.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Wireless Communication Security Techniques · stochastic dynamics and bifurcation
