Nonlinear Backward Stochastic Evolutionary Equations Driven by a Space-Time White Noise
Ying Hu (1,2), Shanjian Tang (1) ((1) Fudan University, (2), Universit\'e Rennes 1)

TL;DR
This paper investigates the existence and uniqueness of solutions for nonlinear backward stochastic evolutionary equations driven by space-time white noise, introducing new a priori estimates and employing duality arguments.
Contribution
It provides the first well-posedness results for nonlinear backward stochastic evolutionary equations driven by space-time white noise, with novel a priori estimates and a duality approach.
Findings
Established a priori estimates for linear equations
Proved existence and uniqueness for nonlinear equations
Provided an illustrative example
Abstract
We study the well solvability of nonlinear backward stochastic evolutionary equations driven by a space-time white noise. We first establish a novel a priori estimate for solution of linear backward stochastic evolutionary equations, and then give an existence and uniqueness result for nonlinear backward stochastic evolutionary equations. A dual argument plays a crucial role in the proof of these results. Finally, an example is given to illustrate the existence and uniqueness result.
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