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• W3039657415 abstract "We rigorously prove the well-posedness of the formal sensitivity equations with respect to the Reynolds number corresponding to the 2D incompressible Navier-Stokes equations. Moreover, we do so by showing a sequence of difference quotients converges to the unique solution of the sensitivity equations for both the 2D Navier-Stokes equations and the related data assimilation equations, which utilize the continuous data assimilation algorithm proposed by Azouani, Olson, and Titi. As a result, this method of proof provides uniform bounds on difference quotients, demonstrating parameter recovery algorithms that change parameters as the system evolves will not blow-up. We also note that this appears to be the first such rigorous proof of global existence and uniqueness to strong or weak solutions to the sensitivity equations for the 2D Navier-Stokes equations (in the natural case of zero initial data), and that they can be obtained as a limit of difference quotients with respect to the Reynolds number." @default.
• W3039657415 created "2020-07-10" @default.
• W3039657415 creator A5003323001 @default.
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• W3039657415 date "2020-07-02" @default.
• W3039657415 modified "2023-09-27" @default.
• W3039657415 title "Sensitivity Analysis for the 2D Navier-Stokes Equations with Applications to Continuous Data Assimilation" @default.
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• W3039657415 hasPublicationYear "2020" @default.
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