L2-theory for transitions semigroups associated to dissipative systems

Abstract

Let X be a real separable Hilbert space. Let C be a linear, bounded and positive operator on X and let A be the infinitesimal generator of a strongly continuous semigroup on X. Let \W(t)\t≥ 0 be a X-valued cylindrical Wiener process on a filtered (normal) probability space (,F,\Ft\t≥ 0,P). Let F:D(F)⊂eqX→X be a smooth enough function. Under suitable conditions on A, C and F the following semilinear stochastic partial differential equation gather* cases dX(t,x)=(AX(t,x)+F(X(t,x)))dt+ CdW(t), & t>0;\\ X(0,x)=x∈ X, cases gather* has a unique generalized mild solution \X(t,x)\t≥ 0. We consider the transition semigroup defined by align* P(t)(x):=E[(X(t,x))], ∈ Bb(X),\ t≥ 0,\ x∈ X. align* If O is an open set of X, we consider the stopped semigroup defined by equation* PO(t)(x):=E[(X(t,x))I\ω∈\; :\;τx(ω)> t\], ∈ Bb(O),\; x∈O,\; t>0 equation* where τx is the stopping time defined by equation* τx=∈f\ s> 0\; : \; X(s,x)∈ Oc \. equation* We will study the infinitesimal generators of P(t) and PO(t) in L2(X,) and L2(O,) respectively, where is the unique invariant measure of P(t). We will focus on investigating how these two semigroups are related to the operator formally defined by equation* N(x):=12Tr[C∇2(x)]+ Ax+F(x), ∇(x) . equation*

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…