Imperial College London

Professor Grigorios A. Pavliotis

Faculty of Natural SciencesDepartment of Mathematics

Professor of Applied Mathematics
 
 
 
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Contact

 

+44 (0)20 7594 8564g.pavliotis Website

 
 
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Location

 

736aHuxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Carrillo:2020:10.1016/j.jfa.2020.108734,
author = {Carrillo, JA and Delgadino, MG and Pavliotis, GA},
doi = {10.1016/j.jfa.2020.108734},
journal = {Journal of Functional Analysis},
pages = {1--30},
title = {A λ-convexity based proof for the propagation of chaos for weakly interacting stochastic particles},
url = {http://dx.doi.org/10.1016/j.jfa.2020.108734},
volume = {279},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - In this work we give a proof of the mean-field limit for λ-convex potentials using a purely variational viewpoint. Our approach is based on the observation that all evolution equations that we study can be written as gradient flows of functionals at different levels: in the set of probability measures, in the set of symmetric probability measures on N variables, and in the set of probability measures on probability measures. This basic fact allows us to rely on Γ-convergence tools for gradient flows to complete the proof by identifying the limits of the different terms in the Evolutionary Variational Inequalities (EVIs) associated to each gradient flow. The λ-convexity of the confining and interaction potentials is crucial for the unique identification of the limits and for deriving the EVIs at each description level of the interacting particle system.
AU - Carrillo,JA
AU - Delgadino,MG
AU - Pavliotis,GA
DO - 10.1016/j.jfa.2020.108734
EP - 30
PY - 2020///
SN - 0022-1236
SP - 1
TI - A λ-convexity based proof for the propagation of chaos for weakly interacting stochastic particles
T2 - Journal of Functional Analysis
UR - http://dx.doi.org/10.1016/j.jfa.2020.108734
UR - https://www.sciencedirect.com/science/article/pii/S0022123620302779?via%3Dihub
UR - http://hdl.handle.net/10044/1/84816
VL - 279
ER -