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Uniform Shift Estimates for Transmission Problems and Optimal Rates of Convergence for the Parametric Finite Element Method

  • Hengguang Li
  • Victor Nistor
  • Yu Qiao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8236)

Abstract

Let Ω ⊂ ℝ d , \(d \geqslant 1\), be a bounded domain with piecewise smooth boundary ∂ Ω and let U be an open subset of a Banach space Y. Motivated by questions in “Uncertainty Quantification,” we consider a parametric family P = (P y ) y ∈ U of uniformly strongly elliptic, second order partial differential operators P y on Ω. We allow jump discontinuities in the coefficients. We establish a regularity result for the solution u: Ω×U → ℝ of the parametric, elliptic boundary value/transmission problem P y u y  = f y , y ∈ U, with mixed Dirichlet-Neumann boundary conditions in the case when the boundary and the interface are smooth and in the general case for d = 2. Our regularity and well-posedness results are formulated in a scale of broken weighted Sobolev spaces Open image in new window of Babuška-Kondrat’ev type in Ω, possibly augmented by some locally constant functions. This implies that the parametric, elliptic PDEs (P y ) y ∈ U admit a shift theorem that is uniform in the parameter y ∈ U. In turn, this then leads to h m -quasi-optimal rates of convergence (i. e., algebraic orders of convergence) for the Galerkin approximations of the solution u, where the approximation spaces are defined using the “polynomial chaos expansion” of u with respect to a suitable family of tensorized Lagrange polynomials, following the method developed by Cohen, Devore, and Schwab (2010).

Keywords

Transmission Problem Smooth Case Polynomial Chaos Polynomial Chaos Expansion Elliptic PDEs 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hengguang Li
    • 1
  • Victor Nistor
    • 2
    • 3
  • Yu Qiao
    • 4
  1. 1.Department of MathematicsWayne State UniversityDetroitUSA
  2. 2.Department of MathematicsPennsylvania State UniversityUniversity ParkUSA
  3. 3.Inst. Math. Romanian Acad.BucharestRomania
  4. 4.College of Mathematics and Information ScienceShaanxi Normal UniversityXi’anP.R. China

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