On the Feynman--Kac semigroup for some Markov processes
Victoria Knopova

TL;DR
This paper investigates the Feynman--Kac semigroup for certain Markov processes, establishing the existence and bounds of the associated transition density under specific conditions, with illustrative examples.
Contribution
It proves the existence of the density for the Feynman--Kac semigroup and derives explicit upper and lower bounds under transition density assumptions.
Findings
Existence of the density $p_t^A(x,y)$ for the Feynman--Kac semigroup.
Explicit upper and lower bounds for the density.
Application to specific examples of Markov processes.
Abstract
For a (non-symmetric) strong Markov process , consider the Feynman--Kac semigroup \[T_t^Af(x):=\mathbb {E}^x\bigl[e^{A_t}f(X_t)\bigr],\quad x\in {\mathbb {R}^n}, t>0,\] where is a continuous additive functional of associated with some signed measure. Under the assumption that admits a transition probability density that possesses upper and lower bounds of certain type, we show that the kernel corresponding to possesses the density with respect to the Lebesgue measure and construct upper and lower bounds for . Some examples are provided.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
