Abstract
We study Girsanov's theorem in the context of symmetric Markov processes, extending earlier work of Fukushima-Takeda and Fitzsimmons on Girsanov transformations of "gradient type." We investigate the most general Girsanov transformation leading to another symmetric Markov process. This investigation requires an extension of the forward-backward martingale method of Lyons-Zheng, to cover the case of processes with jumps.
Original language | English |
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Pages (from-to) | 2067-2098 |
Number of pages | 32 |
Journal | Annals of Probability |
Volume | 32 |
Issue number | 3 A |
DOIs | |
Publication status | Published - 2004 Jul |
Externally published | Yes |
Keywords
- Absolute continuity
- Dirichlet form
- Dual predictable projection
- Forward-backward martingale decomposition
- Girsanov theorem
- Supermartingale multiplicative functional
- Symmetric Markov process
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty