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Higher-order propagation of chaos in L² for interacting diffusions

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arxiv 2310.09654 v2 pith:R6T6GICT submitted 2023-10-14 math.PR math.AP

Higher-order propagation of chaos in L² for interacting diffusions

classification math.PR math.AP
keywords densityparticlearbitrarychaosdiffusionsdistancehigher-orderlimit
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In this paper, we study diffusions with bounded pairwise interaction. We show for the first time propagation of chaos on arbitrary time horizons in a stronger $L^2$-based distance, as opposed to the usual Wasserstein or relative entropy distances. The estimate is based on iterating inequalities derived from the BBGKY hierarchy and does not follow directly from bounds on the full $N$-particle density. This argument gives the optimal rate in $N$, showing the distance between the $j$-particle marginal density and the tensor product of the mean-field limit is $O(N^{-1})$. We use cluster expansions to give perturbative higher-order corrections to the mean-field limit. For an arbitrary order $i$, these provide ``low-dimensional'' approximations to the $j$-particle marginal density with error $O(N^{-(i+1)})$.

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Cited by 2 Pith papers

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  1. Density-Dependent McKean--Vlasov Diffusions: Subgaussian Occupancy Bounds and Polynomial Propagation of Chaos

    math.PR 2026-07 conditional novelty 7.0

    A clipped, shifted-histogram particle system approximating density-dependent McKean–Vlasov diffusions has relative-entropy error O(N^{-2/(d+2)}(log N)^{d/(d+2)}) per particle over finite time.

  2. Quantitative propagation of chaos for non-exchangeable diffusions via first-passage percolation

    math.PR 2024-09 unverdicted novelty 7.0

    The paper establishes sharp relative entropy estimates for marginals of non-exchangeable interacting particle systems by linking a BBGKY hierarchy to first-passage percolation.