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Large deviation principle for diffusion processes under a sublinear expectation
Authors:ZengJing Chen  Jie Xiong
Institution:1. School of Mathematics, Shandong University, Jinan, 250100, China
2. Department of Financial Engineering, Ajou University, Suwon, 443749, Korea
3. Department of Mathematics, University of Macau, PO Box 3001, Macau, China
4. Department of Mathematics, University of Tennessee, Knoxville, TN, 37996-1300, USA
Abstract:We represent the exponential moment of the Brownian functionals under a nonlinear expectation according to the solution to a backward stochastic differential equation. As an application, we establish a large deviation principle of the Freidlin and Wentzell type under the corresponding nonlinear probability for diffusion processes with a small diffusion coefficient.
Keywords:large deviation principle  backward stochastic differential equation  g-expectation  ambiguity
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