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Large deviation principle for diffusion processes under a sublinear expectation

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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.

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References

  1. Boué M, Dupuis P. A variational representation for certain functionals of Brownian motion. Ann Probab, 1998, 26: 1641–1659

    Article  MathSciNet  MATH  Google Scholar 

  2. Budhiraja A, Dupuis P, Maroulas V. Large deviations for infinite dimensional stochastic dynamical systems. Ann Prob, 2008, 36

  3. Chen Z, Epstein L. Ambiguity, risk, and asset returns in continuous time. Econometrica, 2002, 70: 1403–1443

    Article  MathSciNet  MATH  Google Scholar 

  4. Dembo A, Zeitouni O. Large Deviations Techniques and Applications. New York: Springer, 1998

    Book  MATH  Google Scholar 

  5. Dupuis P, Ellis R. A Weak Convergence Approach to the Theory of Large Deviations. New York: Wiley, 1997

    Book  MATH  Google Scholar 

  6. Essaky E H. Large deviation principle for a backward stochastic differential equation with subdifferential operator. C R Acad Sci Paris Ser I, 2008, 346: 75–78

    Article  MathSciNet  MATH  Google Scholar 

  7. Freidlin M I, Wentzell A D. Random Perturbations of Dynamical Systems. New York: Springer-Verlag, 1984

    Book  MATH  Google Scholar 

  8. Gao F, Jiang H. Large deviations for stochastic differential equations driven by G-Brownian motion. Stoch Process Appl, 2010: 2212–2240

  9. Peng S. BSDE and related g-expectation. In: Karoui El N, Mazliak L, eds. Backward Stochastic Differential Equations, Pitman Research Notes in Mathematics 364. Essex: Addison Wesley Longman, 1997, 141–159

    Google Scholar 

  10. Ren J, Zhang X. Freidlin-Wentzell’s large deviations for homeomorphism flows of non-Lipschitz SDEs. Bull Sci Math, 2005, 129: 643–655

    Article  MathSciNet  MATH  Google Scholar 

  11. Ren J, Zhang X. Freidlin-Wentzell’s large deviations for stochastic evolution equations. J Funct Anal, 2008, 254: 3148–3172

    Article  MathSciNet  MATH  Google Scholar 

  12. Sritharan S, Sundar P. Large deviations for the two-dimensional Navier-Stokes equations with multiplicative noise. Stoch Process Appl, 2006, 116: 1636–1659

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Jie Xiong.

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Chen, Z., Xiong, J. Large deviation principle for diffusion processes under a sublinear expectation. Sci. China Math. 55, 2205–2216 (2012). https://doi.org/10.1007/s11425-012-4518-4

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  • DOI: https://doi.org/10.1007/s11425-012-4518-4

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