# Weak quantitative propagation of chaos via differential calculus on the space of measures

## TL;DR

This paper establishes quantitative bounds on the difference between a functional of a probability measure and its empirical approximation, using differential calculus on the space of measures, with applications to propagation of chaos in particle systems.

## Contribution

It introduces regularity conditions and techniques for deriving precise asymptotic expansions for functionals on measure spaces, applicable to McKean-Vlasov SDEs and mean-field models.

## Key findings

- Quantitative estimates of propagation of chaos.
- Asymptotic expansion of functionals with respect to sample size.
- Weak propagation of chaos properties for interacting particle systems.

## Abstract

Consider the metric space $(\mathcal{P}_2(\mathbb{R}^d),W_2)$ of square integrable laws on $\mathbb{R}^d$ with the topology induced by the 2-Wasserstein distance $W_2$. Let $\Phi: \mathcal{P}_2( \mathbb{R}^d) \to \mathbb{R}$ be a function and $\mu_N$ be the empirical measure of a sample of $N$ random variables distributed as $\mu$. The main result of this paper is to show that under suitable regularity conditions, we have \[ |\Phi(\mu) - \mathbb{E}\Phi(\mu_N)|= \sum_{j=1}^{k-1}\frac{C_j}{N^j} + O(\frac{1}{N^k}), \] for some positive constants $C_1, \ldots, C_{k-1}$ that do not depend on $N$, where $k$ corresponds to the degree of smoothness. We distinguish two cases: a) $\mu_N$ is the empirical measure of $N$-samples from $\mu$; b) $\mu$ is a marginal law of McKean-Vlasov stochastic differential equation in which case $\mu_N$ is an empirical law of marginal laws of the corresponding particle system. The first case is studied using functional derivatives on the space of measures. The second case relies on an It\^{o}-type formula for the flow of probability measures and is intimately connected to PDEs on the space of measures, called the master equation in the literature of mean-field games. We state the general regularity conditions required for each case and analyse the regularity in the case of functionals of the laws of McKean-Vlasov SDEs. Ultimately, this work reveals quantitative estimates of propagation of chaos for interacting particle systems. Furthermore, we are able to provide weak propagation of chaos estimates for ensembles of interacting particles and show that these may have some remarkable properties.