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On the Feynman--Kac semigroup for some Markov processes
- Source :
- Modern Stochastics: Theory and Applications, Vol 2, Iss 2, Pp 107-129 (2015)
- Publication Year :
- 2015
- Publisher :
- arXiv, 2015.
-
Abstract
- For a (non-symmetric) strong Markov process $X$, 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 $A$ is a continuous additive functional of $X$ associated with some signed measure. Under the assumption that $X$ admits a transition probability density that possesses upper and lower bounds of certain type, we show that the kernel corresponding to $T_t^A$ possesses the density $p_t^A(x,y)$ with respect to the Lebesgue measure and construct upper and lower bounds for $p_t^A(x,y)$. Some examples are provided.<br />Published at http://dx.doi.org/10.15559/15-VMSTA26 in the Modern Stochastics: Theory and Applications (https://www.i-journals.org/vtxpp/VMSTA) by VTeX (http://www.vtex.lt/)
- Subjects :
- Statistics and Probability
Signed measure
Probability density function
Type (model theory)
Upper and lower bounds
Combinatorics
symbols.namesake
FOS: Mathematics
Feynman diagram
Kato class
Physics
Mathematics::Functional Analysis
Kernel (set theory)
Lebesgue measure
Semigroup
lcsh:T57-57.97
lcsh:Mathematics
Probability (math.PR)
Feynman–Kac semigroup
lcsh:QA1-939
Modeling and Simulation
Transition probability density
lcsh:Applied mathematics. Quantitative methods
symbols
continuous additive functional
Statistics, Probability and Uncertainty
Mathematics - Probability
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Modern Stochastics: Theory and Applications, Vol 2, Iss 2, Pp 107-129 (2015)
- Accession number :
- edsair.doi.dedup.....57c2b7042ae6bd4402a38eeccea64340
- Full Text :
- https://doi.org/10.48550/arxiv.1508.02836