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Can I read BSDEs with diffusion constraint and viscous Hamilton-Jacobi equations with unbounded data on EtoBox?

BSDEs with diffusion constraint and viscous Hamilton-Jacobi equations with unbounded data by Cosso, Andrea; Pham, Huyên; Xing, Hao is a scholarly article available to read on EtoBox.

What is BSDEs with diffusion constraint and viscous Hamilton-Jacobi equations with unbounded data about?

We provide a stochastic representation for a general class of viscous Hamilton-Jacobi (HJ) equations, which has convexity and superlinear nonlinearity in its gradient term, via a type of backward stochastic differential equation (BSDE) with constraint in the martingale part. We compare our result with the classical representation in terms of (super)quadratic BSDE, and show in particular that existence of a solution to the viscous HJ equation can be obtained under more general growth assumptions on the coefficients, including both unbounded diffusion coefficient and terminal data.

Author
Cosso, Andrea; Pham, Huyên; Xing, Hao
Published
2015
Language
EN

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