Publication | Open Access
Martingale Property and Capacity under G-Framework
19
Citations
22
References
2010
Year
EngineeringMartingale PropertyEntropyG Brownian MotionStochastic ProcessesIntegrable ProbabilityStochastic CalculusStochastic Dynamical SystemStochastic AnalysisStochastic SystemsProbability TheoryBrownian MotionStochastic PhenomenonPoisson BoundarySymmetric Martingale PropertyLevy Process
The main purpose of this article is to study the symmetric martingale property and capacity defined by G-expectation introduced by Peng (cf. <a href="http://arxiv.org/PS_cache/math/pdf/0601/0601035v2.pdf">http://arxiv.org/PS_cache/math/pdf/0601/0601035v2.pdf</a>) in 2006. We show that the G-capacity can not be dynamic, and also demonstrate the relationship between symmetric G-martingale and the martingale under linear expectation. Based on these results and path-wise analysis, we obtain the martingale characterization theorem for G Brownian motion without Markovian assumption. This theorem covers the Levy's martingale characterization theorem for Brownian motion, and it also gives a different method to prove Levy's theorem.
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