Abstract
Using time-reversal, we introduce a stochastic integral for zero-energy additive functionals of symmetric Markov processes, extending earlier work of S. Nakao. Various properties of such stochastic integrals are discussed and an Itô formula for Dirichlet processes is obtained.
Original language | English |
---|---|
Pages (from-to) | 931-970 |
Number of pages | 40 |
Journal | Annals of Probability |
Volume | 36 |
Issue number | 3 |
DOIs | |
Publication status | Published - May 2008 |
Externally published | Yes |
Keywords
- Additive functional
- Dual additive functional
- Dual predictable projection
- Generalized itô formula
- Martingale additive functional
- Revuz measure
- Symmetric markov process
- Time reversal, stochastic integral
Fingerprint
Dive into the research topics of 'Stochastic calculus for symmetric markov processes'. Together they form a unique fingerprint.Cite this
Chen, Z. Q., Fitzsimmons, P. J., Kuwae, K., & Zhang, T. S. (2008). Stochastic calculus for symmetric markov processes. Annals of Probability, 36(3), 931-970. https://doi.org/10.1214/07-AOP347