The global fluctuation field of non-exchangeable interacting diffusions converges to the universal mean field SPDE limit under deterministic denseness conditions on the interaction matrix, with a sharp n^{-1/2} threshold.
Quantitative propagation of chaos for non-exchangeable diffusions via first-passage percolation
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
This paper develops a non-asymptotic approach to mean field approximations for systems of $n$ diffusive particles interacting pairwise. The interaction strengths are not identical, making the particle system non-exchangeable. The marginal law of any subset of particles is compared to a suitably chosen product measure, and we find sharp relative entropy estimates between the two. Building upon prior work of the first author in the exchangeable setting, we use a generalized form of the BBGKY hierarchy to derive a hierarchy of differential inequalities for the relative entropies. Our analysis of this complicated hierarchy exploits an unexpected but crucial connection with first-passage percolation, which lets us bound the marginal entropies in terms of expectations of functionals of this percolation process.
fields
math.PR 2years
2026 2representative citing papers
Quantitative quenched propagation of chaos holds for Langevin spin glass dynamics with non-Gaussian i.i.d. disorder satisfying T2, yielding explicit Wasserstein convergence rates and concentration bounds.
citing papers explorer
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Universal Central Limit Theorem for non-exchangeable interacting diffusions
The global fluctuation field of non-exchangeable interacting diffusions converges to the universal mean field SPDE limit under deterministic denseness conditions on the interaction matrix, with a sharp n^{-1/2} threshold.
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Quantitative propagation of chaos and universality for asymmetric Langevin spin glass dynamics
Quantitative quenched propagation of chaos holds for Langevin spin glass dynamics with non-Gaussian i.i.d. disorder satisfying T2, yielding explicit Wasserstein convergence rates and concentration bounds.