Abstract

Let the coefficients a_{ij} and b_i, i,j le d, of the linear Fokker–Planck–Kolmogorov equation (FPK-eq.) ∂tμt=∂i∂j(aijμt)-∂i(biμt)\\documentclass[12pt]{minimal}\t\t\t\t\\usepackage{amsmath}\t\t\t\t\\usepackage{wasysym}\t\t\t\t\\usepackage{amsfonts}\t\t\t\t\\usepackage{amssymb}\t\t\t\t\\usepackage{amsbsy}\t\t\t\t\\usepackage{mathrsfs}\t\t\t\t\\usepackage{upgreek}\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\t\t\t\t\\begin{document}$$\\begin{aligned} \\partial _t\\mu _t = \\partial _i\\partial _j(a_{ij}\\mu _t)-\\partial _i(b_i\\mu _t) \\end{aligned}$$\\end{document}be Borel measurable, bounded and continuous in space. Assume that for every s in [0,T] and every Borel probability measure nu on mathbb {R}^d there is at least one solution mu = (mu _t)_{t in [s,T]} to the FPK-eq. such that mu _s = nu and t mapsto mu _t is continuous w.r.t. the topology of weak convergence of measures. We prove that in this situation, one can always select one solution mu ^{s,nu } for each pair (s,nu ) such that this family of solutions fulfills μts,ν=μtr,μrs,νfor all0≤s≤r≤t≤T,\\documentclass[12pt]{minimal}\t\t\t\t\\usepackage{amsmath}\t\t\t\t\\usepackage{wasysym}\t\t\t\t\\usepackage{amsfonts}\t\t\t\t\\usepackage{amssymb}\t\t\t\t\\usepackage{amsbsy}\t\t\t\t\\usepackage{mathrsfs}\t\t\t\t\\usepackage{upgreek}\t\t\t\t\\setlength{\\oddsidemargin}{-69pt}\t\t\t\t\\begin{document}$$\\begin{aligned} \\mu ^{s,\\nu }_t = \\mu ^{r,\\mu ^{s,\\nu }_r}_t \\text { for all }0 \\le s \\le r \\le t \\le T, \\end{aligned}$$\\end{document}which one interprets as a flow property of this solution family. Moreover, we prove that such a flow of solutions is unique if and only if the FPK-eq. is well-posed.

Highlights

  • We are concerned with linear Fokker–Planck–Kolmogorov equations of the form

  • The aim of this paper is to prove similar results for the Fokker–Planck–Kolmogorov equation (1)

  • Assuming that the Cauchy problem for Eq (1) has at least one weakly continuous probability solution for every initial condition (s, ν), we prove the existence of a family of solutionss,ν such that

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Summary

Introduction

We are concerned with linear Fokker–Planck–Kolmogorov equations of the form. In this work the authors prove the following: Given continuous and bounded coefficients ai j and bi , assume there exists at least one continuous solution to the martingale problem with start in x ∈ Rd at time s ≥ 0 for every pair (s, x). One can select a solution Ps,x to the martingale problem for every initial condition (s, x) such that the family (Ps,x )(s,x)∈R+×Rd is a strong Markov process on the space of continuous functions C(R+, Rd ) Such a consideration goes back to an earlier work of Krylov from 1973 In Theorem 3.16 we show: There exists exactly one such flow if and only if the Fokker–Planck–Kolmogorov equation is well-posed among weakly continuous probability solutions. This could be a direction of further research on this topic

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