Absolute continuity of symmetric Markov processes

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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.

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Chen, Z. Q., Fitzsimmons, P. J., Takeda, M., Ying, J., & Zhang, T. S. (2004). Absolute continuity of symmetric Markov processes. Annals of Probability, 32(3 A), 2067–2098. https://doi.org/10.1214/009117904000000432

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