Mathematical analysis demonstrates the existence of probability solutions to nonlinear stationary Fokker–Planck–Kolmogorov equations, expanding tools for infinite-dimensional systems.
We prove existence of a probability solution to the nonlinear stationary Fokker–Planck–Kolmogorov equation on an infinite dimensional space with a centered Gaussian measure γ with a unit diffusion operator and a drift of the form − x + v ( p , x ), where v is a bounded mapping with values in the Cameron–Martin space H of γ and v is defined on the space E × X , where is E is the subset of L 2 ( γ ) consisting of probability densities. The equation has the form L b ( p , ⋅ ) * ( p ⋅ γ ) = 0 Lb(p,· )^(p· γ )=0 with L b ( p , ⋅ ) φ = Δ H φ + ( b ( p , ⋅ ) , D H φ ) H Lb(p,· )φ =ΔHφ +(b(p,· ),DHφ )H , so that the drift coefficient depends on the unknown solution, which makes the equation nonlinear. This dependence is assumed to satisfy a suitable continuity condition. This result is applied to drifts of Vlasov type defined by means of the convolution of a vector field with the solution. In addition, we consider a more general situation where only the components of v are uniformly bounded and prove the existence of a probability solution under some stronger continuity condition on the drift.
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