A Hilbertian approach for fluctuations on the McKean-Vlasov model
Begoña Fernandez and
Sylvie Méléard
Stochastic Processes and their Applications, 1997, vol. 71, issue 1, 33-53
Abstract:
We consider the sequence of fluctuation processes associated with the empirical measures of the interacting particle system approximating the d-dimensional McKean-Vlasov equation and prove that they are tight as continuous processes with values in a precise weighted Sobolev space. More precisely, we prove that these fluctuations belong uniformly (with respect to the size of the system and to time) to W-(1+D), 2D0 and converge in C([0, T], W-(2+2D), D0) to a Ornstein-Uhlenbeck process obtained as the solution of a Langevin equation in W-(4+2D), D0, where D is equal to 1 + [d/2]. It appears in the proofs that the spaces W-(1 --> D), 2D0 and W-(2-2D), D0 are minimal Sobolev spaces in which to immerse the fluctuations, which was our aim following a physical point of view.
Keywords: Convergence; of; fluctuations; McKean-Vlasov; equation; Weighted; Sobolev; spaces (search for similar items in EconPapers)
Date: 1997
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Citations: View citations in EconPapers (4)
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