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Large deviation principles for 2D stochastic $g$-Navier--Stokes equations on unbounded channel-like domains
This paper investigates the large deviation principle for 2D stochastic $g$-Navier--Stokes equations driven by multiplicative noise and defined on an unbounded channel-like domain. We first prove the existence and uniqueness of probabilistically strong solutions for the stochastic equation under sma
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