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Propagation of chaos for large Brownian particle system with Coulomb interaction

Publication ,  Journal Article
Liu, JG; Yang, R
Published in: Research in Mathematical Sciences
December 1, 2016

We investigate a system of N Brownian particles with the Coulomb interaction in any dimension d≥ 2 , and we assume that the initial data are independent and identically distributed with a common density ρ0 satisfying ∫Rdρ0lnρ0dx<∞ and ρ0∈L2dd+2(Rd)∩L1(Rd,(1+|x|2)dx). We prove that there exists a unique global strong solution for this interacting partsicle system and there is no collision among particles almost surely. For d= 2 , we rigorously prove the propagation of chaos for this particle system globally in time without any cutoff in the following sense. When N→ ∞, the empirical measure of the particle system converges in law to a probability measure and this measure possesses a density which is the unique weak solution to the mean-field Poisson–Nernst–Planck equation of single component.

Duke Scholars

Published In

Research in Mathematical Sciences

DOI

EISSN

2197-9847

ISSN

2522-0144

Publication Date

December 1, 2016

Volume

3

Issue

1
 

Citation

APA
Chicago
ICMJE
MLA
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Liu, J. G., & Yang, R. (2016). Propagation of chaos for large Brownian particle system with Coulomb interaction. Research in Mathematical Sciences, 3(1). https://doi.org/10.1186/s40687-016-0086-5
Liu, J. G., and R. Yang. “Propagation of chaos for large Brownian particle system with Coulomb interaction.” Research in Mathematical Sciences 3, no. 1 (December 1, 2016). https://doi.org/10.1186/s40687-016-0086-5.
Liu JG, Yang R. Propagation of chaos for large Brownian particle system with Coulomb interaction. Research in Mathematical Sciences. 2016 Dec 1;3(1).
Liu, J. G., and R. Yang. “Propagation of chaos for large Brownian particle system with Coulomb interaction.” Research in Mathematical Sciences, vol. 3, no. 1, Dec. 2016. Scopus, doi:10.1186/s40687-016-0086-5.
Liu JG, Yang R. Propagation of chaos for large Brownian particle system with Coulomb interaction. Research in Mathematical Sciences. 2016 Dec 1;3(1).
Journal cover image

Published In

Research in Mathematical Sciences

DOI

EISSN

2197-9847

ISSN

2522-0144

Publication Date

December 1, 2016

Volume

3

Issue

1