Research reports

Shape Holomorphy of the stationary Navier-Stokes Equations

by A. Cohen and Ch. Schwab and J. Zech

(Report number 2016-45)

Abstract
We consider the stationary Stokes and Navier-Stokes Equations for viscous, incompressible flow in parameter dependent bounded domains \({\mathrm{D}}_T\), subject to homogeneous Dirichlet ("no-slip") boundary conditions on \(\partial {{\mathrm{D}}_T}\). Here, \({\mathrm{D}}_T\) is the image of a given fixed nominal Lipschitz domain \(\hat{\mathrm{D}}\subseteq\mathbb{R}^d\), \(d\in\{2,3\}\), under a map \(T:\mathbb{R}^d\to\mathbb{R}^d\). We establish shape holomorphy of Leray solutions which is to say, holomorphy of the map \(T\mapsto (\hat u_T,\hat p_T)\) where \((\hat u_T,\hat p_T)\in H^1_0(\hat{\mathrm{D}})^d\times L^2(\hat{\mathrm{D}})\) denotes the pullback of the corresponding weak solutions and \(T\) varies in \(W^{k,\infty}\) with \(k\in\{1,2\}\), depending on the type of pullback. We consider in particular parametrized families \(\{T_{\boldsymbol{y}}:{\boldsymbol{y}}\in U\}\subseteq W^{1,\infty}\) of domain mappings, with parameter domain \(U=[-1,1]^\mathbb{N}\) and with affine dependence of \(T_{\boldsymbol{y}}\) on \({\boldsymbol{y}}\). The presently obtained shape holomorphy implies summability results and \(n\)-term approximation rate bounds for gpc ("generalized polynomial chaos") expansions for the corresponding parametric solution map \({\boldsymbol{y}}\mapsto ({\hat u({\boldsymbol{y}})} , \hat p({\boldsymbol{y}}))\in H^1_0(\hat{\mathrm{D}})^d\times L^2(\hat{\mathrm{D}})\).

Keywords: Shape-holomorphy, Navier-Stokes Equations, Uncertainty Quantification, Parametric Operator Equations

BibTeX
@Techreport{CSZ16_682,
  author = {A. Cohen and Ch. Schwab and J. Zech},
  title = {Shape Holomorphy of the stationary Navier-Stokes Equations},
  institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich},
  number = {2016-45},
  address = {Switzerland},
  url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2016/2016-45.pdf },
  year = {2016}
}

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