Operator semigroups in the mixed topology and the infinitesimal description of Markov processes
Beniamin Goldys, Max Nendel and Michael Röckner
Abstract
We define a class of not necessarily linear -semigroups
on (more generally, on
, for some growth
bounding continuous function ) equipped with the mixed
topology for a large class of topological
state spaces . In the linear case we prove that such
can be characterized as integral operators
given by measure kernels satisfying certain properties. We prove
that the strong and weak infinitesimal generators of such
-semigroups coincide. As a main result we prove that
transition semigroups of Markov processes are -semigroups
on , if they leave
invariant and they are jointly weakly continuous in space and
time. In particular, they are infinitesimally generated by their
generator and thus reconstructable through an
Euler formula from their strong derivative at zero in . This solves a long standing open
problem on Markov processes. Our results apply to a large number
of Markov processes given as the laws of solutions to SDEs and
SPDEs, including the stochastic 2D Navier-Stokes equations and
the stochastic fast and slow diffusion porous media equations.
Furthermore, we introduce the notion of a Markov core operator
for the above generators and
prove that uniqueness of the Fokker-Planck-Kolmogorov equations
corresponding to for all Dirac initial
conditions implies that is a Markov core
operator for . As a consequence we can identify the
Kolmogorov operator of a large number of SDEs on finite and
infinite dimensional state spaces as Markov core operators for
the infinitesimal generators of the -semigroups on
given by their transition
semigroups. Furthermore, if each is merely convex, we
prove that gives rise to viscosity
solutions to the Cauchy problem of its associated (non linear)
infinitesimal generators. We also show that value functions of
optimal control problems, both, in finite and infinite
dimensions are particular instances of convex -semigroups
on .
Keywords:
Markov process, stochastic (partial) differential equation, mixed topology, strongly continuous semigroup, infinitesimal generator, Markov uniqueness, viscosity solution, Fokker-Planck-Kolmogorov equation, generalized Mehler semigroups, Levy-Khintchin representation.
AMS Subject Classification:
Primary 47D06;; secondary 47H20; 60H10; 60H15; 60J25; 60J35.