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| Content Provider | Springer Nature Link |
|---|---|
| Author | Peng, Shige Jia, Guangyan |
| Copyright Year | 2009 |
| Abstract | A real valued function h defined on $${\mathbb{R}}$$ is called g-convex if it satisfies the “generalized Jensen’s inequality” for a given g-expectation, i.e., $${h(\mathbb{E}^{g}[X])\leq \mathbb{E}^{g}[h(X)]}$$ holds for all random variables X such that both sides of the inequality are meaningful. In this paper we will give a necessary and sufficient condition for a C 2-function being g-convex, and study some more general situations. We also study g-concave and g-affine functions, and a relation between g-convexity and backward stochastic viability property. |
| Ending Page | 239 |
| Page Count | 23 |
| Starting Page | 217 |
| File Format | |
| ISSN | 01788051 |
| e-ISSN | 14322064 |
| Journal | Probability Theory and Related Fields |
| Issue Number | 1 |
| Volume Number | 147 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2009-02-27 |
| Publisher Place | Berlin/Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Jensen’s inequality Backward stochastic differential equation g-Expectation Theoretical, Mathematical and Computational Physics g-Convexity Probability Theory and Stochastic Processes Quantitative Finance Viscosity subsolution Statistics for Business/Economics/Mathematical Finance/Insurance Operations Research/Decision Theory Backward stochastic viability property Stochastic ordinary differential equations Mathematical Biology in General |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Analysis Statistics, Probability and Uncertainty |
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