Abstract
It is proved that a probability measure is dominated by g-expectation \( {\user1{E}}_{\mu } {\left[ \cdot \right]} \) if and only if it can be generated by Girsanov transformation via a process which is uniformly bounded by µ.
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Supported by the National Natural Science Foundation of China (No.10131030) and Science Foundation of Shandong Province (No. Y2000A09).
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Jiang, L., Chen, Zj. A Result On the Probability Measures Dominated by g-Expectation. Acta Mathematicae Applicatae Sinica, English Series 20, 507–512 (2004). https://doi.org/10.1007/s10255-004-0188-5
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DOI: https://doi.org/10.1007/s10255-004-0188-5
Keywords
- Backward stochastic differential equation
- g-expectation
- conditional g-expectation
- Girsanov transformation