vlasov limit
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2018 ◽  
Vol 36 (6) ◽  
pp. 960-995 ◽  
Author(s):  
Luisa Andreis ◽  
Paolo Dai Pra ◽  
Markus Fischer

2010 ◽  
Vol 28 (5) ◽  
pp. 884-906 ◽  
Author(s):  
V. S. Borkar ◽  
K. Suresh Kumar

2008 ◽  
Vol 285 (2) ◽  
pp. 673-712 ◽  
Author(s):  
Y. Elskens ◽  
M. K.-H. Kiessling ◽  
V. Ricci

1994 ◽  
Vol 04 (01) ◽  
pp. 1-15 ◽  
Author(s):  
RENÉ FERLAND

We consider a system of Markov processes of finitely-many particles which exchange their energies in pairs at random times. A law of large numbers for this system means that the empirical measures of the processes may be approximated (as the number of particles increases) by the solution of a nonlinear evolution equation (the so-called McKean-Vlasov limit). This work presents two results of this type. The first one concerns the empirical processes and gives a probabilistic method for solving the nonlinear equation. The second is stated in the path scheme and extends classical results of chaos propagation by Kac (1956) and McKean (1967).


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