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Reflected solutions of backward stochastic differential equations driven by G-Brownian motion

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In this paper, we study the reflected solutions of one-dimensional backward stochastic differential equations driven by G-Brownian motion. The reflection keeps the solution above a given stochastic process. In order… Click to show full abstract

In this paper, we study the reflected solutions of one-dimensional backward stochastic differential equations driven by G-Brownian motion. The reflection keeps the solution above a given stochastic process. In order to derive the uniqueness of reflected G-BSDEs, we apply a “martingale condition” instead of the Skorohod condition. Similar to the classical case, we prove the existence by approximation via penalization. We then give some applications including a generalized Feynman-Kac formula of an obstacle problem for fully nonlinear partial differential equation and option pricing of American types under volatility uncertainty.

Keywords: stochastic differential; backward stochastic; equations driven; differential equations; driven brownian; reflected solutions

Journal Title: Science China Mathematics
Year Published: 2018

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