Summary
A system ofN particles inR d with mean field interaction and diffusion is considered. Assuming adiabatic elimination of the momenta the positions satisfy a stochastic ordinary differential equation driven by Brownian sheets (microscopic equation), where all coefficients depend on the position of the particles and on the empirical mass distribution process. This empirical mass distribution process satisfies a quasilinear stochastic partial differential equation (SPDE). This SPDE (mezoscopic equation) is solved for general measure valued initial conditions by “extending” the empirical mass distribution process from point measure valued initial conditions with total mass conservation. Starting with measures with densities inL 2(R d,dr), wheredr is the Lebesgue measure, the solution will have densities inL 2(R d,dr) and strong uniqueness (in the Itô sense) is obtained. Finally, it is indicated how to obtain (macroscopic) partial differential equations as limits of the so constructed SPDE's.
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This research was supported by NSF grant DMS92-11438 and ONR grant N00014-91J-1386
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Kotelenez, P. A class of quasilinear stochastic partial differential equations of McKean-Vlasov type with mass conservation. Probab. Th. Rel. Fields 102, 159–188 (1995). https://doi.org/10.1007/BF01213387
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DOI: https://doi.org/10.1007/BF01213387