Abstract
In this paper, we prove that separation occurs for the stationary Prandtl equation, in the case of adverse pressure gradient, for a large class of boundary data at \(x=0\). We justify the Goldstein singularity: more precisely, we prove that under suitable assumptions on the boundary data at \(x=0\), there exists \(x^{*}>0\) such that \(\partial _{y} u_{|y=0}(x) \sim C \sqrt{x^{*} -x}\) as \(x\to x^{*}\) for some positive constant \(C\), where \(u\) is the solution of the stationary Prandtl equation in the domain \(\{0< x< x^{*},\ y> 0\}\). Our proof relies on three main ingredients: the computation of a “stable” approximate solution, using modulation theory arguments; a new formulation of the Prandtl equation, for which we derive energy estimates, relying heavily on the structure of the equation; and maximum principle and comparison principle techniques to handle some of the nonlinear terms.
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Dalibard, AL., Masmoudi, N. Separation for the stationary Prandtl equation. Publ.math.IHES 130, 187–297 (2019). https://doi.org/10.1007/s10240-019-00110-z
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DOI: https://doi.org/10.1007/s10240-019-00110-z