
arXiv: 2411.15406
For any weakly interacting particle system with bounded kernel, we give uniform-in-time estimates of the $L^2$ norm of correlation functions, provided that the diffusion coefficient is large enough. When the condition on the kernels is more restrictive, we can remove the dependence of the lower bound for diffusion coefficient on the initial data and estimate the size of chaos in a weaker sense. Based on these estimates, we may study fluctuation around the mean-field limit.
25 pages
interacting particle systems, Functional limit theorems; invariance principles, Probability (math.PR), central limit theorem, 35Q70, 35Q83, 60F17, 60H10, PDEs in connection with mechanics of particles and systems of particles, FOS: Physical sciences, Mathematical Physics (math-ph), long-time behavior, Stochastic ordinary differential equations (aspects of stochastic analysis), Mathematics - Analysis of PDEs, size of chaos, FOS: Mathematics, Vlasov equations, Mathematical Physics, Mathematics - Probability, Analysis of PDEs (math.AP)
interacting particle systems, Functional limit theorems; invariance principles, Probability (math.PR), central limit theorem, 35Q70, 35Q83, 60F17, 60H10, PDEs in connection with mechanics of particles and systems of particles, FOS: Physical sciences, Mathematical Physics (math-ph), long-time behavior, Stochastic ordinary differential equations (aspects of stochastic analysis), Mathematics - Analysis of PDEs, size of chaos, FOS: Mathematics, Vlasov equations, Mathematical Physics, Mathematics - Probability, Analysis of PDEs (math.AP)
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