POLYNOMIAL APPROXIMATIONS OF REGULAR AND SINGULAR VECTOR FIELDS WITH APPLICATIONS TO PROBLEMS OF ELECTROMAGNETICS

Similar documents
A priori error analysis of the BEM with graded meshes for the electric eld integral equation on polyhedral surfaces

Trefftz-Discontinuous Galerkin Methods for Maxwell s Equations

Multigrid Methods for Maxwell s Equations

ENERGY NORM A POSTERIORI ERROR ESTIMATES FOR MIXED FINITE ELEMENT METHODS

Mathematical Foundations for the Boundary- Field Equation Methods in Acoustic and Electromagnetic Scattering

DISCRETE EXTENSION OPERATORS FOR MIXED FINITE ELEMENT SPACES ON LOCALLY REFINED MESHES

Standard Finite Elements and Weighted Regularization

ANALYSIS OF A FINITE ELEMENT PML APPROXIMATION FOR THE THREE DIMENSIONAL TIME-HARMONIC MAXWELL PROBLEM

Institut de Recherche MAthématique de Rennes

Nedelec elements for computational electromagnetics

Multiplicity of weak solutions for a class of nonuniformly elliptic equations of p-laplacian type

Trefftz-Discontinuous Galerkin Methods for the Time-Harmonic Maxwell Equations

Finite Element Methods for Maxwell Equations

A Multigrid Method for Two Dimensional Maxwell Interface Problems

MULTIGRID PRECONDITIONING IN H(div) ON NON-CONVEX POLYGONS* Dedicated to Professor Jim Douglas, Jr. on the occasion of his seventieth birthday.

ENERGY NORM A POSTERIORI ERROR ESTIMATES FOR MIXED FINITE ELEMENT METHODS

arxiv: v1 [math.na] 5 Dec 2018

Numerical approximation of output functionals for Maxwell equations

The Interior Transmission Eigenvalue Problem for Maxwell s Equations

Boundary problems for fractional Laplacians and other mu-transmission operators

Singular behavior of the solution of the Helmholtz equation in weighted L p -Sobolev spaces

Lecture Note III: Least-Squares Method

b i (x) u + c(x)u = f in Ω,

The Helmholtz Equation

Divergence-free or curl-free finite elements for solving the curl-div system

From the Boundary Element DDM to local Trefftz Finite Element Methods on Polyhedral Meshes

Yongdeok Kim and Seki Kim

MATH 6210: SOLUTIONS TO PROBLEM SET #3

Improved Perfectly Matched Layers for Acoustic Radiation and Scattering Problems

EXISTENCE AND REGULARITY OF SOLUTIONS FOR STOKES SYSTEMS WITH NON-SMOOTH BOUNDARY DATA IN A POLYHEDRON

Mixed Finite Elements Method

A DELTA-REGULARIZATION FINITE ELEMENT METHOD FOR A DOUBLE CURL PROBLEM WITH DIVERGENCE-FREE CONSTRAINT

Boundary regularity for elliptic problems with continuous coefficients

Interpolatory curl-free wavelets on bounded domains and characterization of Besov spaces

A NONCONFORMING PENALTY METHOD FOR A TWO DIMENSIONAL CURL-CURL PROBLEM

Discontinuous Galerkin Methods: Theory, Computation and Applications

BEST CONSTANT IN POINCARÉ INEQUALITIES WITH TRACES: A FREE DISCONTINUITY APPROACH

Trefftz-discontinuous Galerkin methods for time-harmonic wave problems

Volume and surface integral equations for electromagnetic scattering by a dielectric body

Solving the curl-div system using divergence-free or curl-free finite elements

Extremal Polynomials with Varying Measures

Removable singularities for some degenerate non-linear elliptic equations

A PRIORI ESTIMATES AND APPLICATION TO THE SYMMETRY OF SOLUTIONS FOR CRITICAL

WAVELETS, PROPERTIES OF THE SCALAR FUNCTIONS

Hölder regularity for Maxwell's equations under minimal assumptions on the coefficients

From the Boundary Element Domain Decomposition Methods to Local Trefftz Finite Element Methods on Polyhedral Meshes

Sums of independent random variables

A primer on Numerical methods for elasticity

Inequalities of Babuška-Aziz and Friedrichs-Velte for differential forms

A posteriori error estimates for non conforming approximation of eigenvalue problems

Sharp Hodge Decompositions, Maxwell s Equations, and Vector Poisson Problems on Non-Smooth, Three-Dimensional Riemannian Manifolds

arxiv: v2 [math.na] 23 Apr 2016

Location of solutions for quasi-linear elliptic equations with general gradient dependence

Technische Universität Graz

The Mortar Boundary Element Method

NONCONFORMING MIXED ELEMENTS FOR ELASTICITY

Finite element exterior calculus: A new approach to the stability of finite elements

ICES REPORT Analysis of the DPG Method for the Poisson Equation

Weighted Regularization of Maxwell Equations Computations in Curvilinear Polygons

The hp-version of the boundary element method with quasi-uniform meshes in three dimensions

IMPROVED BOUNDS IN THE SCALED ENFLO TYPE INEQUALITY FOR BANACH SPACES

On the Maxwell Constants in 3D

On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1

JUHA KINNUNEN. Sobolev spaces

Introduction to finite element exterior calculus

Basic Principles of Weak Galerkin Finite Element Methods for PDEs

Energy norm a-posteriori error estimation for divergence-free discontinuous Galerkin approximations of the Navier-Stokes equations

ETNA Kent State University

Static Maxwell Type Problems: Functional A Posteriori Error Estimates and Estimates for the Maxwell Constant in 3D. Dirk Pauly

Finite Element Multigrid Framework for Mimetic Finite Difference Discretizations

A SECOND ELASTICITY ELEMENT USING THE MATRIX BUBBLE WITH TIGHTENED STRESS SYMMETRY

Uniformly best wavenumber approximations by spatial central difference operators: An initial investigation

Load Capacity of Bodies and Structures

Existence of solutions to a superlinear p-laplacian equation

A posteriori error estimates in FEEC for the de Rham complex

SUPER-GEOMETRIC CONVERGENCE OF A SPECTRAL ELEMENT METHOD FOR EIGENVALUE PROBLEMS WITH JUMP COEFFICIENTS *

Approximating min-max k-clustering

Motivations. Outline. Finite element exterior calculus and the geometrical basis of numerical stability. References. Douglas N.

MIXED FINITE ELEMENT METHODS FOR PROBLEMS WITH ROBIN BOUNDARY CONDITIONS

Technische Universität Graz

arxiv: v1 [math.na] 29 Feb 2016

A NOTE ON THE LADYŽENSKAJA-BABUŠKA-BREZZI CONDITION

MIXED FINITE ELEMENT APPROXIMATION OF THE VECTOR LAPLACIAN WITH DIRICHLET BOUNDARY CONDITIONS

Some results of convex programming complexity

Mixed Finite Element Methods. Douglas N. Arnold, University of Minnesota The 41st Woudschoten Conference 5 October 2016

Error estimates for the Raviart-Thomas interpolation under the maximum angle condition

A Posteriori Error Estimation Techniques for Finite Element Methods. Zhiqiang Cai Purdue University

Overlapping Schwarz Preconditioners for Spectral. Problem in H(curl)

Corner Singularities

Preconditioned space-time boundary element methods for the heat equation

Numerische Mathematik

A posteriori error estimates for Maxwell Equations

MORTAR MULTISCALE FINITE ELEMENT METHODS FOR STOKES-DARCY FLOWS

Trefftz-Discontinuous Galerkin Methods for Acoustic Scattering - Recent Advances

Deng Songhai (Dept. of Math of Xiangya Med. Inst. in Mid-east Univ., Changsha , China)

ON THE EXISTENCE OF TRANSMISSION EIGENVALUES. Andreas Kirsch1

WEAK GALERKIN FINITE ELEMENT METHOD FOR SECOND ORDER PARABOLIC EQUATIONS

A computer-assisted Band-Gap Proof for 3D Photonic Crystals

On Isoperimetric Functions of Probability Measures Having Log-Concave Densities with Respect to the Standard Normal Law

Commutators on l. D. Dosev and W. B. Johnson

Transcription:

POLYNOMIAL APPROXIMATIONS OF REGULAR AND SINGULAR VECTOR FIELDS WITH APPLICATIONS TO PROBLEMS OF ELECTROMAGNETICS Alex Besalov School of Mathematics The University of Manchester Collaborators: Norbert Heuer Ralf Hitmair PUC, Santiago, Chile ETH, Zurich, Switzerland Numerical Analysis and Scientific Comuting Seminar University of Manchester 29 October, 2010 A. Besalov Polynomial aroximations of regular and singular vector fields 1/27

Outline of the talk 1. Problem formulation. 2. H(div)-conforming -interolation in two dimensions: classical Raviart-Thomas interolation oerators; rojection based interolation oerators; error estimation. 3. Alication: h-bem for 3D roblem of electromagnetic scattering: convergence and error analysis; aroximation of singularities. 4. Conclusions. 5. References. A. Besalov Polynomial aroximations of regular and singular vector fields 2/27

Polynomial aroximations of vector fields: roblem formulation Notation Ω R 2 a olygonal domain; Ω = i Kh i ; h > 0 mesh arameter; 1 olynomial degree; u(x) = (u 1 (x), u 2 (x)), x = (x 1, x 2 ) Ω; H r (div, Ω) := {u H r (Ω); div u H r (Ω)}, r 0. A. Besalov Polynomial aroximations of regular and singular vector fields 3/27

Polynomial aroximations of vector fields: roblem formulation Notation Ω R 2 a olygonal domain; Ω = i Kh i ; h > 0 mesh arameter; 1 olynomial degree; u(x) = (u 1 (x), u 2 (x)), x = (x 1, x 2 ) Ω; H r (div, Ω) := {u H r (Ω); div u H r (Ω)}, r 0. The roblem Given u H r (div, Ω) with r > 0, find v(x) = (v 1 (x), v 2 (x)) such that v 1 (x), v 2 (x) are iecewise olynomials of degree, v H(div, Ω) = {v L 2 (Ω); div v L 2 (Ω)}, u(x) v(x), i.e., u v H(div, Ω) 0 as h 0 and/or. A. Besalov Polynomial aroximations of regular and singular vector fields 3/27

Polynomial aroximations of vector fields: roblem formulation Notation Ω R 2 a olygonal domain; Ω = i Kh i ; h > 0 mesh arameter; 1 olynomial degree; u(x) = (u 1 (x), u 2 (x)), x = (x 1, x 2 ) Ω; H r (div, Ω) := {u H r (Ω); div u H r (Ω)}, r 0. The roblem Given u H r (div, Ω) with r > 0, find v(x) = (v 1 (x), v 2 (x)) such that v 1 (x), v 2 (x) are iecewise olynomials of degree, v H(div, Ω) = {v L 2 (Ω); div v L 2 (Ω)}, u(x) v(x), i.e., u v H(div, Ω) 0 as h 0 and/or. Alications Mixed finite element methods for ellitic roblems FEM for Maxwell s equations in 2D (due to isomorhism of div and curl) H(div)-conforming BEM for Maxwell s equations in 3D A. Besalov Polynomial aroximations of regular and singular vector fields 3/27

Polynomial aroximations of vector fields: roblem formulation [Raviart, Thomas 77], [Brezzi, Fortin 91] Reference element K: equilateral triangle T or unit square Q. Polynomial sace on K: the Raviart-Thomas sace of order 1, { (P 1 (T )) 2 x P 1 (T ) if K = T, P RT (K) = P, 1 (Q) P 1, (Q) if K = Q. The roblem Given u H r (div, K) with r > 0, find u P RT (K) and δ (r) such that i) u is well-defined and stable (with resect to ) for any r > 0; ii) u allows to construct H(div)-conforming aroximations on a atch of elements (e.g., u interolates normal comonents of u along K); iii) u u H(div, K) δ (r) u H r (div, K) and δ (r) 0 as. A. Besalov Polynomial aroximations of regular and singular vector fields 4/27

Classical H(div)-conforming interolation oerator Π RT [Raviart, Thomas 77], [Brezzi, Fortin 91] u H r (K) H(div, K) the interolant Π RT u is defined by the conditions { (P 2 (T )) 2 if K = T, u Π RT u, v 0,K = 0 v P 2, 1 (Q) P 1, 2 (Q) if K = Q; (u Π RT u) n, w 0,l = 0 w P 1 (l) and l K. Commuting diagram roerty: H r (K) H(div, K) Π RT P RT (K) div div L 2 (K) Π 0 1 P 1 (K), where Π 0 : L 2 (K) P (K) denotes the standard L 2 -rojection onto P (K). A. Besalov Polynomial aroximations of regular and singular vector fields 5/27

Classical H(div)-conforming interolation oerator Π RT Error estimation for -interolation on the square Q [Suri 90], [Milner, Suri 92], [Stenberg, Suri 97], [Ainsworth, Pinchedez 02] u Π RT u H(div, Q) (r 1/2 ε) u H r (div, Q), r > 1/2. A. Besalov Polynomial aroximations of regular and singular vector fields 6/27

Classical H(div)-conforming interolation oerator Π RT Error estimation for -interolation on the square Q [Suri 90], [Milner, Suri 92], [Stenberg, Suri 97], [Ainsworth, Pinchedez 02] u Π RT u H(div, Q) (r 1/2 ε) u H r (div, Q), r > 1/2. In 3D: H(curl)-conforming Nédélec s elements on the cube [Monk 94], [Ben Belgacem, Bernardi 99] A. Besalov Polynomial aroximations of regular and singular vector fields 6/27

Classical H(div)-conforming interolation oerator Π RT Error estimation for -interolation on the square Q [Suri 90], [Milner, Suri 92], [Stenberg, Suri 97], [Ainsworth, Pinchedez 02] u Π RT u H(div, Q) (r 1/2 ε) u H r (div, Q), r > 1/2. In 3D: H(curl)-conforming Nédélec s elements on the cube [Monk 94], [Ben Belgacem, Bernardi 99] Conclusions: lack of stability (with resect to ) for low-regular fields; otimal -estimates can hardly be achieved; it is not clear how to deal with triangular elements. A. Besalov Polynomial aroximations of regular and singular vector fields 6/27

Projection-based H(div)-conforming interolation oerator Π div [Demkowicz, Babuška 03] u H r (K) H(div, K) with r > 0, the interolant Π div u is defined as where u 1 = u 2 l K ( l Π div u = u 1 + u 2 + u 3 P RT (K), ) u n φ l the lowest order interolant (φ l P 1 RT (K)), the sum of edge interolants, u 3 an interior interolant (vector bubble function) satisfying div(u (u 1 + u 2 + u 3 )), div v 0,K = 0 v P RT,0 (K), u (u 1 + u 2 + u 3 ), curl φ 0,K = 0 φ P 0 (K). A. Besalov Polynomial aroximations of regular and singular vector fields 7/27

Projection-based H(div)-conforming interolation oerator Π div [Demkowicz, Babuška 03] u H r (K) H(div, K), r > 0: Π div u = u 1 + u 2 + u 3 P RT (K). Proerties of the oerator Π div : Π div is well defined and stable (w.r.t. ) for any r > 0; it reserves olynomial vector fields from P RT (K); it works equally well on both triangles and arallelograms; it can be easily generalised to allow variation of olynomial degrees; it makes de Rham diagram commute H 1+r (K) Π 1 P (K) curl H r (K) H(div, K) Π div curl P RT (K) div div L 2 (K) Π 0 1 P 1 (K), where Π 1 : H 1+r (K) P (K) is the H 1 -conforming interolation oerator. A. Besalov Polynomial aroximations of regular and singular vector fields 8/27

Projection-based H(div)-conforming interolation oerator Π div [Demkowicz, Babuška 03] u H r (K) H(div, K), r > 0: Interolation error estimation Π div If u H r (div, K) with 0 < r < 1, then there holds u = u 1 + u 2 + u 3 P RT (K). u Π div u H(div, K) C(ε) (r ε) u H r (div, K), 0 < ε < r. A. Besalov Polynomial aroximations of regular and singular vector fields 9/27

Projection-based H(div)-conforming interolation oerator Π div [Demkowicz, Babuška 03] u H r (K) H(div, K), r > 0: Interolation error estimation Π div If u H r (div, K) with 0 < r < 1, then there holds u = u 1 + u 2 + u 3 P RT (K). u Π div u H(div, K) C(ε) (r ε) u H r (div, K), 0 < ε < r. Orthogonal (Helmholtz) decomosition of u H r (div, K): u = u 0 + curl ψ, u 0, curl φ 0,K = 0 φ H 1 (K). Hence, one has limited regularity of u 0 and ψ! A. Besalov Polynomial aroximations of regular and singular vector fields 9/27

Projection-based H(div)-conforming interolation oerator Π div [Demkowicz, Babuška 03] u H r (K) H(div, K), r > 0: Interolation error estimation Π div If u H r (div, K) with 0 < r < 1, then there holds u = u 1 + u 2 + u 3 P RT (K). u Π div u H(div, K) C(ε) (r ε) u H r (div, K), 0 < ε < r. Conclusions on the interolation error estimation: Π div satisfies a sub-otimal interolation error estimate; error estimate is available only for fields with limited regularity. A. Besalov Polynomial aroximations of regular and singular vector fields 9/27

Regular decomositions via Poincaré-tye integral oerators The Poincaré ma R a : C ( K) (C ( K)) 2 for some a = (a 1, a 2 ) K: R a ψ = (R 1, R 2 ), R i (x) := (x i a i ) 1 tψ(a + t(x a)) dt, i = 1, 2. Proerties: div(r a ψ) = ψ ψ C 1 ( K); R a mas P (K) into P RT +1(K); R a cannot be extended to a continuous maing L 2 (K) H 1 (K). 0 A. Besalov Polynomial aroximations of regular and singular vector fields 10/27

Regular decomositions via Poincaré-tye integral oerators The Poincaré ma R a : C ( K) (C ( K)) 2 for some a = (a 1, a 2 ) K: R a ψ = (R 1, R 2 ), R i (x) := (x i a i ) tψ(a + t(x a)) dt, i = 1, 2. [Costabel, McIntosh 10]: the regularised Poincaré oerator R : C ( K) (C ( K)) 2, Rψ := θ(a) R a ψ da, 1 0 B where θ C (R 2 ), su θ B K, B θ(a) da = 1, a = (a 1, a 2 ). Proerties: div(rψ) = ψ ψ H r (K), r 0; R mas P (K) into P RT +1(K); R defines a bounded oerator H r 1 (K) H r (K) for any r 0. A. Besalov Polynomial aroximations of regular and singular vector fields 11/27

Regular decomositions via Poincaré-tye integral oerators [Costabel, McIntosh 10]: regularised Poincaré integral oerators R : H r 1 (K) H r (K), r 0, A : H r (K) H r+1 (K), r 0, div(rψ) = ψ ψ H r (K); curl(au) = u u H r (div0, K). A. Besalov Polynomial aroximations of regular and singular vector fields 12/27

Regular decomositions via Poincaré-tye integral oerators [Costabel, McIntosh 10]: regularised Poincaré integral oerators R : H r 1 (K) H r (K), r 0, A : H r (K) H r+1 (K), r 0, div(rψ) = ψ ψ H r (K); curl(au) = u u H r (div0, K). Lemma 1. Let u H r (div, K), r > 0. Then there exist ψ H r+1 (K) and v H r+1 (K) such that u = curl ψ + v. Moreover, v H r+1 (K) div u H r (K) and ψ H r+1 (K) u H r (K). (1) A. Besalov Polynomial aroximations of regular and singular vector fields 12/27

Regular decomositions via Poincaré-tye integral oerators [Costabel, McIntosh 10]: regularised Poincaré integral oerators R : H r 1 (K) H r (K), r 0, A : H r (K) H r+1 (K), r 0, div(rψ) = ψ ψ H r (K); curl(au) = u u H r (div0, K). Lemma 1. Let u H r (div, K), r > 0. Then there exist ψ H r+1 (K) and v H r+1 (K) such that u = curl ψ + v. Moreover, v H r+1 (K) div u H r (K) and ψ H r+1 (K) u H r (K). (1) Proof. 1) div u H r (K) v := R(div u) H r+1 (K) and u = (u R(div u)) + R(div u) = (u R(div u)) + v. A. Besalov Polynomial aroximations of regular and singular vector fields 12/27

Regular decomositions via Poincaré-tye integral oerators [Costabel, McIntosh 10]: regularised Poincaré integral oerators R : H r 1 (K) H r (K), r 0, A : H r (K) H r+1 (K), r 0, div(rψ) = ψ ψ H r (K); curl(au) = u u H r (div0, K). Lemma 1. Let u H r (div, K), r > 0. Then there exist ψ H r+1 (K) and v H r+1 (K) such that u = curl ψ + v. Moreover, v H r+1 (K) div u H r (K) and ψ H r+1 (K) u H r (K). (1) Proof. 1) div u H r (K) v := R(div u) H r+1 (K) and u = (u R(div u)) + R(div u) = (u R(div u)) + v. 2) u R(div u) H r (K), div(u R(div u)) = div u div(r(div u)) = 0. A. Besalov Polynomial aroximations of regular and singular vector fields 12/27

Regular decomositions via Poincaré-tye integral oerators [Costabel, McIntosh 10]: regularised Poincaré integral oerators R : H r 1 (K) H r (K), r 0, A : H r (K) H r+1 (K), r 0, div(rψ) = ψ ψ H r (K); curl(au) = u u H r (div0, K). Lemma 1. Let u H r (div, K), r > 0. Then there exist ψ H r+1 (K) and v H r+1 (K) such that u = curl ψ + v. Moreover, v H r+1 (K) div u H r (K) and ψ H r+1 (K) u H r (K). (1) Proof. 1) div u H r (K) v := R(div u) H r+1 (K) and u = (u R(div u)) + R(div u) = (u R(div u)) + v. 2) u R(div u) H r (K), div(u R(div u)) = div u div(r(div u)) = 0. 3) ψ := A(u R(div u)) H r+1 (K) and curl ψ = u R(div u). A. Besalov Polynomial aroximations of regular and singular vector fields 12/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). A. Besalov Polynomial aroximations of regular and singular vector fields 13/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). Proof. 1) Lemma 1: u = curl ψ + v, ψ H r+1 (K), v H r+1 (K). A. Besalov Polynomial aroximations of regular and singular vector fields 13/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). Proof. 1) Lemma 1: u = curl ψ + v, ψ H r+1 (K), v H r+1 (K). 2) Π div u = Π div (curl ψ) + Π div v = curl(π 1 ψ) + Π div v. A. Besalov Polynomial aroximations of regular and singular vector fields 13/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). Proof. 1) Lemma 1: u = curl ψ + v, ψ H r+1 (K), v H r+1 (K). 2) Π div 3) u Π div u = Π div (curl ψ) + Π div u = curl(ψ Π 1 ψ) + (v Π div v = curl(π 1 ψ) + Π div v. v). A. Besalov Polynomial aroximations of regular and singular vector fields 13/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). Proof. 1) Lemma 1: u = curl ψ + v, ψ H r+1 (K), v H r+1 (K). 2) Π div 3) u Π div u = Π div (curl ψ) + Π div u = curl(ψ Π 1 ψ) + (v Π div v = curl(π 1 ψ) + Π div v. 4) curl(ψ Π 1 ψ) H(div, K) = curl(ψ Π 1 ψ) L 2 (K) = ψ Π1 ψ H 1 (K) v). r ψ H 1+r (K) r u H r (K). A. Besalov Polynomial aroximations of regular and singular vector fields 13/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). Proof. 1) Lemma 1: u = curl ψ + v, ψ H r+1 (K), v H r+1 (K). 2) Π div 3) u Π div u = Π div (curl ψ) + Π div u = curl(ψ Π 1 ψ) + (v Π div v = curl(π 1 ψ) + Π div v. 4) curl(ψ Π 1 ψ) H(div, K) = curl(ψ Π 1 ψ) L 2 (K) = ψ Π1 ψ H 1 (K) 5) v Π div v H(div, K) v). r ψ H 1+r (K) r u H r (K). inf v ( v v H(div, K) + Π div (v v ) H(div, K) ) ε (0,1) ( ) inf v v v H ε (K) + div(v v ) L 2 (K) inf v v v H 1 (K). A. Besalov Polynomial aroximations of regular and singular vector fields 13/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). Proof. 1) Lemma 1: u = curl ψ + v, ψ H r+1 (K), v H r+1 (K). 2) Π div 3) u Π div u = Π div (curl ψ) + Π div u = curl(ψ Π 1 ψ) + (v Π div v = curl(π 1 ψ) + Π div v. 4) curl(ψ Π 1 ψ) H(div, K) = curl(ψ Π 1 ψ) L 2 (K) = ψ Π1 ψ H 1 (K) v). 5) v Π div v H(div, K) inf v r ψ H 1+r (K) r u H r (K). v v H 1 (K) r v H 1+r (K) r div u H r (K). 6) Combine 4) and 5), then use 3). A. Besalov Polynomial aroximations of regular and singular vector fields 13/27

Otimal error estimation for H(div)-conforming -interolation Theorem 1. Let u H r (div, K), r > 0. Then there holds u Π div u H(div, K) r u H r (div, K). Immediate (and imortant) extensions and alications Brezzi-Douglas-Marini sace on the reference triangle Otimal h-estimates (by the Bramble-Hilbert argument and scaling) u Π div h u H(div, Ω) h min{r,} r u H r (div, Ω) H(curl)-conforming -interolation oerator in 2D (due to isomorhism of div and curl). Alication: - and h-fem for Maxwell s equations in 2D. A. Besalov Polynomial aroximations of regular and singular vector fields 14/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary value roblem for PDE (3D roblem of e/m scattering) Assumtions: Ω is a erfectly conducting body in R 3, Γ = Ω is a Lischitz olyhedral surface. Ω e := R 3 \ Ω. A. Besalov Polynomial aroximations of regular and singular vector fields 15/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary value roblem for PDE (3D roblem of e/m scattering) Assumtions: Ω is a erfectly conducting body in R 3, Γ = Ω is a Lischitz olyhedral surface. Ω e := R 3 \ Ω. Time-harmonic Maxwell s equations in Ω e : { { curl E iω µh = 0 curl curl E k 2 curl H + iω εe = 0 or E = 0, k := ω µε, H = (iωµ) 1 curl E. Boundary condition on Γ : γ τ (E) = γ τ (E in ), where E in is some incident lane wave with wave number k, γ τ : u u ν Γ. Silver-Müller radiation condition at. A. Besalov Polynomial aroximations of regular and singular vector fields 15/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary value roblem for PDE (3D roblem of e/m scattering) Assumtions: Ω is a erfectly conducting body in R 3, Γ = Ω is a Lischitz olyhedral surface. Ω e := R 3 \ Ω. Time-harmonic Maxwell s equations in Ω e : { { curl E iω µh = 0 curl curl E k 2 curl H + iω εe = 0 or E = 0, k := ω µε, H = (iωµ) 1 curl E. Boundary condition on Γ : γ τ (E) = γ τ (E in ), where E in is some incident lane wave with wave number k, γ τ : u u ν Γ. Silver-Müller radiation condition at. E, H H loc (curl, Ω e ) := {u L 2 loc (Ω e); curl u L 2 loc (Ω e)}. A. Besalov Polynomial aroximations of regular and singular vector fields 15/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary integral equation: weak formulation, unique solvability, regularity u jum of the magnetic field H at the interface Γ; u = γ τ (H tot ) u X := γ τ (H loc (curl, Ω e )); X = H 1/2 (div Γ, Γ) := {u H 1/2 (Γ); div Γ u H 1/2 (Γ)}. A. Besalov Polynomial aroximations of regular and singular vector fields 16/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary integral equation: weak formulation, unique solvability, regularity u jum of the magnetic field H at the interface Γ; u = γ τ (H tot ) u X := γ τ (H loc (curl, Ω e )); X = H 1/2 (div Γ, Γ) := {u H 1/2 (Γ); div Γ u H 1/2 (Γ)}. The BIE: the electric field integral equation (EFIE) for u. A. Besalov Polynomial aroximations of regular and singular vector fields 16/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary integral equation: weak formulation, unique solvability, regularity u jum of the magnetic field H at the interface Γ; u = γ τ (H tot ) u X := γ τ (H loc (curl, Ω e )); X = H 1/2 (div Γ, Γ) := {u H 1/2 (Γ); div Γ u H 1/2 (Γ)}. The BIE: the electric field integral equation (EFIE) for u. Variational form of the EFIE (Rumsey s rincile): find u X such that a(u, v) := γ tr (V k div Γ u), div Γ v k 2 π τ (V k u), v = f, v v X, where π τ : u ν (u ν) Γ, f := π τ (E in ), and V k, V k are single layer oerators for given k. A. Besalov Polynomial aroximations of regular and singular vector fields 16/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary integral equation: weak formulation, unique solvability, regularity u jum of the magnetic field H at the interface Γ; u = γ τ (H tot ) u X := γ τ (H loc (curl, Ω e )); X = H 1/2 (div Γ, Γ) := {u H 1/2 (Γ); div Γ u H 1/2 (Γ)}. The BIE: the electric field integral equation (EFIE) for u. Variational form of the EFIE (Rumsey s rincile): find u X such that a(u, v) := γ tr (V k div Γ u), div Γ v k 2 π τ (V k u), v = f, v v X, where π τ : u ν (u ν) Γ, f := π τ (E in ), and V k, V k are single layer oerators for given k. Remark. The form a(u, v) is not X-coercive due to infinite-dimensional kernel of div Γ. A. Besalov Polynomial aroximations of regular and singular vector fields 16/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary integral equation: weak formulation, unique solvability, regularity u jum of the magnetic field H at the interface Γ; u = γ τ (H tot ) u X := γ τ (H loc (curl, Ω e )); X = H 1/2 (div Γ, Γ) := {u H 1/2 (Γ); div Γ u H 1/2 (Γ)}. The BIE: the electric field integral equation (EFIE) for u. Variational form of the EFIE (Rumsey s rincile): find u X such that a(u, v) := γ tr (V k div Γ u), div Γ v k 2 π τ (V k u), v = f, v v X. [Buffa, Costabel, Schwab 02], [Hitmair, Schwab 02]: if k 2 is not an electrical eigenvalue of the interior roblem, then there exists a unique u X. A. Besalov Polynomial aroximations of regular and singular vector fields 16/27

Alication: h-bem for 3D roblem of electromagnetic scattering Boundary integral equation: weak formulation, unique solvability, regularity u jum of the magnetic field H at the interface Γ; u = γ τ (H tot ) u X := γ τ (H loc (curl, Ω e )); X = H 1/2 (div Γ, Γ) := {u H 1/2 (Γ); div Γ u H 1/2 (Γ)}. The BIE: the electric field integral equation (EFIE) for u. Variational form of the EFIE (Rumsey s rincile): find u X such that a(u, v) := γ tr (V k div Γ u), div Γ v k 2 π τ (V k u), v = f, v v X. [Buffa, Costabel, Schwab 02], [Hitmair, Schwab 02]: if k 2 is not an electrical eigenvalue of the interior roblem, then there exists a unique u X. [Costabel, Dauge 00] s (0, 1 2 ) such that u Hs (div Γ, Γ). A. Besalov Polynomial aroximations of regular and singular vector fields 16/27

Alication: h-bem for 3D roblem of electromagnetic scattering Galerkin BEM: discrete formulation, unique solvability, quasi-otimality Surface discretisation: a family of quasi-uniform meshes h = {Γ j } on Γ. Discrete subsace: X N H(div Γ, Γ) X is based on Raviart-Thomas saces. P RT (K) = (P 1 (K)) 2 ξp 1 (K), K is the ref. element. N = N(h, ), h > 0 is the mesh arameter, 1 is a olynomial degree. A. Besalov Polynomial aroximations of regular and singular vector fields 17/27

Alication: h-bem for 3D roblem of electromagnetic scattering Galerkin BEM: discrete formulation, unique solvability, quasi-otimality Rumsey s rincile: find u X such that a(u, v) = f, v v X. Galerkin BEM: find u N X N such that a(u N, v) = f, v v X N. A. Besalov Polynomial aroximations of regular and singular vector fields 18/27

Alication: h-bem for 3D roblem of electromagnetic scattering Galerkin BEM: discrete formulation, unique solvability, quasi-otimality Rumsey s rincile: find u X such that a(u, v) = f, v v X. Galerkin BEM: find u N X N such that a(u N, v) = f, v v X N. Theorem 2 [B., Heuer, Hitmair 10]. For N = N(h, ) large enough, the discrete roblem is uniquely solvable, and the h-bem converges quasi-otimally, i.e., u u N X inf{ u v X ; v X N }. A. Besalov Polynomial aroximations of regular and singular vector fields 18/27

Alication: h-bem for 3D roblem of electromagnetic scattering Galerkin BEM: discrete formulation, unique solvability, quasi-otimality Rumsey s rincile: find u X such that a(u, v) = f, v v X. Galerkin BEM: find u N X N such that a(u N, v) = f, v v X N. Theorem 2 [B., Heuer, Hitmair 10]. For N = N(h, ) large enough, the discrete roblem is uniquely solvable, and the h-bem converges quasi-otimally, i.e., u u N X inf{ u v X ; v X N }. Main ingredients in the roof: decomositions X = V W, V H 1/2 (Γ), W = H 1/2 (div Γ 0, Γ) and X N = V N W N, W N W; rojection based interolation oerators [Demkowicz, Babuška 03]; the regularised Poincaré integral oerators [Costabel, McIntosh 10]. A. Besalov Polynomial aroximations of regular and singular vector fields 18/27

Alication: h-bem for 3D roblem of electromagnetic scattering A riori error estimation (based on the Sobolev regularity) Theorem 3 [B., Heuer 10]. There exists s > 0 such that u H s (div Γ, Γ) and u u N X h 1/2+min{s,} (s+1/2) u H s (div Γ, Γ). A. Besalov Polynomial aroximations of regular and singular vector fields 19/27

Alication: h-bem for 3D roblem of electromagnetic scattering A riori error estimation (based on the Sobolev regularity) Theorem 3 [B., Heuer 10]. There exists s > 0 such that u H s (div Γ, Γ) and u u N X h 1/2+min{s,} (s+1/2) u H s (div Γ, Γ). Proof: use H(div Γ, Γ)-conforming rojection-based interolation oerator : Hs (div Γ, Γ) X N and recall that X = H 1/2 (div Γ, Γ). Π div h A. Besalov Polynomial aroximations of regular and singular vector fields 19/27

Alication: h-bem for 3D roblem of electromagnetic scattering A riori error estimation (based on the Sobolev regularity) Theorem 3 [B., Heuer 10]. There exists s > 0 such that u H s (div Γ, Γ) and u u N X h 1/2+min{s,} (s+1/2) u H s (div Γ, Γ). Proof: use H(div Γ, Γ)-conforming rojection-based interolation oerator : Hs (div Γ, Γ) X N and recall that X = H 1/2 (div Γ, Γ). Π div h Ste 1: u u N X u Π div h u X h1/2 1/2 u Π div h u H(div Γ, Γ). A. Besalov Polynomial aroximations of regular and singular vector fields 19/27

Alication: h-bem for 3D roblem of electromagnetic scattering A riori error estimation (based on the Sobolev regularity) Theorem 3 [B., Heuer 10]. There exists s > 0 such that u H s (div Γ, Γ) and u u N X h 1/2+min{s,} (s+1/2) u H s (div Γ, Γ). Proof: use H(div Γ, Γ)-conforming rojection-based interolation oerator : Hs (div Γ, Γ) X N and recall that X = H 1/2 (div Γ, Γ). Π div h Ste 1: u u N X u Π div h u X h1/2 1/2 u Π div h u H(div Γ, Γ). Careful here: X = H 1/2 (div Γ, Γ) is not the dual sace of H 1/2 (div Γ, Γ) with resect to the H(div Γ, Γ)-inner roduct (unless Γ is smooth)! Use duality face by face. Localisation of H 1/2 (div Γ, Γ) to faces is not trivial. A. Besalov Polynomial aroximations of regular and singular vector fields 19/27

Alication: h-bem for 3D roblem of electromagnetic scattering A riori error estimation (based on the Sobolev regularity) Theorem 3 [B., Heuer 10]. There exists s > 0 such that u H s (div Γ, Γ) and u u N X h 1/2+min{s,} (s+1/2) u H s (div Γ, Γ). Proof: use H(div Γ, Γ)-conforming rojection-based interolation oerator : Hs (div Γ, Γ) X N and recall that X = H 1/2 (div Γ, Γ). Π div h Ste 1: Ste 2: u u N X u Π div h u X h1/2 1/2 u Π div h u H(div Γ, Γ). u Π div h u H(div Γ, Γ) hmin{s,} s u H s (div Γ, Γ), s > 0. A. Besalov Polynomial aroximations of regular and singular vector fields 19/27

Alication: h-bem for 3D roblem of electromagnetic scattering A riori error estimation (based on the Sobolev regularity) Theorem 3 [B., Heuer 10]. There exists s > 0 such that u H s (div Γ, Γ) and Convergence rates u u N X h 1/2+min{s,} (s+1/2) u H s (div Γ, Γ). For the exterior roblem u H s (div Γ, Γ) with s (0, 1 2 ). h-version: 1 is fixed, N h 2, u u N X = O(N 1/2(s+1/2) ). -version: h is fixed, N 2, u u N X = O(N 1/2(s+1/2) ). Available numerical results [Leydecker; PhD Thesis 06]: the -BEM converges faster than the h-bem. A. Besalov Polynomial aroximations of regular and singular vector fields 20/27

Alication: h-bem for 3D roblem of electromagnetic scattering Available numerical results Relative Error in the Energy Norm =1 =2 =4 =6 =8 16 elements 9 elements 1 element 0.1 10 100 1000 Number of Unknowns A. Besalov Polynomial aroximations of regular and singular vector fields 21/27

Alication: h-bem for 3D roblem of electromagnetic scattering Precise a riori error estimates for the h-bem Reresentation of the solution to the EFIE: u = u reg + u sing, u reg H m (div Γ, Γ) with m > 0, u sing = u e + u v + u ev. A. Besalov Polynomial aroximations of regular and singular vector fields 22/27

Alication: h-bem for 3D roblem of electromagnetic scattering Precise a riori error estimates for the h-bem Reresentation of the solution to the EFIE: u = u reg + u sing, u reg H m (div Γ, Γ) with m > 0, u sing = u e + u v + u ev. Structure of singularities [Costabel, Dauge 00], [B., Heuer 10]: u sing = curl Γ w + v, w H 1/2 (Γ), v = (v 1, v 2 ) H 1/2 (Γ). A. Besalov Polynomial aroximations of regular and singular vector fields 22/27

Alication: h-bem for 3D roblem of electromagnetic scattering Precise a riori error estimates for the h-bem Reresentation of the solution to the EFIE: u = u reg + u sing, u reg H m (div Γ, Γ) with m > 0, u sing = u e + u v + u ev. Structure of singularities [Costabel, Dauge 00], [B., Heuer 10]: u sing = curl Γ w + v, w H 1/2 (Γ), v = (v 1, v 2 ) H 1/2 (Γ). Tyical singularities: edge singularities ρ γ log ρ β 1, vertex singularities r λ log r β 2, edge-vertex singularities r λ γ ρ γ log r β 3 ; r distance to a vertex v of Γ, ρ distance to one of the edges e Γ such that ē v; γ > 1 2 (γ 1 2 if Γ is an oen surface), λ > 1 2, integers β 1, β 2, β 3 0. A. Besalov Polynomial aroximations of regular and singular vector fields 22/27

Alication: h-bem for 3D roblem of electromagnetic scattering Precise a riori error estimates for the h-bem Reresentation of the solution to the EFIE: u = u reg + u sing, u reg H m (div Γ, Γ) with m > 0, u sing = u e + u v + u ev. Structure of singularities [Costabel, Dauge 00], [B., Heuer 10]: u sing = curl Γ w + v, w H 1/2 (Γ), v = (v 1, v 2 ) H 1/2 (Γ). Structure of aroximations: u h sing = curl Γ w h + v h! X N. A. Besalov Polynomial aroximations of regular and singular vector fields 23/27

Alication: h-bem for 3D roblem of electromagnetic scattering Precise a riori error estimates for the h-bem Reresentation of the solution to the EFIE: u = u reg + u sing, u reg H m (div Γ, Γ) with m > 0, u sing = u e + u v + u ev. Structure of singularities [Costabel, Dauge 00], [B., Heuer 10]: u sing = curl Γ w + v, w H 1/2 (Γ), v = (v 1, v 2 ) H 1/2 (Γ). Structure of aroximations: u h sing = curl Γ w h + v h! X N. Theorem 4. Let σ = min min {λ + 1/2, γ} denote the strongest singularity. e,v: v ē u sing u h sing X { h σ 2σ (1 + log(/h)) β+ν if σ 1 2, h +1/2 if 1 < σ 1 2, { β3 + where β 1 := 2 if λ = γ 1 2, β 3 otherwise, ν := { 1 2 if = σ 1 2, 0 otherwise. A. Besalov Polynomial aroximations of regular and singular vector fields 23/27

Alication: h-bem for 3D roblem of electromagnetic scattering Precise a riori error estimates for the h-bem Rumsey s rincile: find u X such that a(u, v) = f, v v X. Galerkin BEM: find u N X N such that a(u N, v) = f, v v X N. Theorem 5. Let σ = Then min min {λ + 1/2, γ} denote the strongest singularity. e,v: v ē u u N X { h σ 2σ (1 + log(/h)) β+ν if σ 1 2, h +1/2 if 1 < σ 1 2, where { β3 + β 1 := 2 if λ = γ 1 2, β 3 otherwise, ν := { 1 2 if = σ 1 2, 0 otherwise. A. Besalov Polynomial aroximations of regular and singular vector fields 24/27

Conclusions Otimal error estimates for H(div)- and H(curl)-conforming -interolation in two dimensions Convergence of the h-bem for the electric field integral equation on olyhedral surfaces discretised by shae-regular meshes A riori error estimation for the h-bem on quasi-uniform meshes; recise error estimates in terms of h,, and the singularity exonents A. Besalov Polynomial aroximations of regular and singular vector fields 25/27

Conclusions Otimal error estimates for H(div)- and H(curl)-conforming -interolation in two dimensions Convergence of the h-bem for the electric field integral equation on olyhedral surfaces discretised by shae-regular meshes A riori error estimation for the h-bem on quasi-uniform meshes; recise error estimates in terms of h,, and the singularity exonents Some areas not (yet) covered Non-regular (e.g., graded) meshes: convergence of the BEM Exonentially convergent h-bem for electromagnetic roblems Comutational asects and imlementation Numerical disersion errors A osteriori error analysis for the BEM; h-adative schemes... A. Besalov Polynomial aroximations of regular and singular vector fields 25/27

References H(div)- and H(curl)-conforming -interolation M. Suri, Math. Com., 54 (1990), 1 19. L. Demkowicz and I. Babuška, SIAM J. Numer. Anal., 41 (2003), 1195 1208. A. B. and N. Heuer, SIAM J. Numer. Anal., 47 (2009), 3977 3989. A. B. and N. Heuer, ESAIM: M2AN, doi: 10.1051/m2an/2010039. The regularised Poincaré-tye integral oerators M. Costabel and A. McIntosh, Math. Z., 265 (2010), 297 320. Singularities and their aroximation T. von Petersdorff and E. P. Stehan, Math. Methods Al. Sci., 12 (1990). M. Costabel and M. Dauge, Arch. Rational Mech. Anal., 151 (2000), 221 276. A. B. and N. Heuer, Numer. Mat., 100 (2005), 185 209. A. B. and N. Heuer, Numer. Mat., 106 (2007), 69 97. A. B. and N. Heuer, ESAIM: M2AN, 42 (2008), 821 849. A. B. and N. Heuer, IMA J. Numer. Anal., 30 (2010), 377 400. A. Besalov Polynomial aroximations of regular and singular vector fields 26/27

References Natural BEM for the EFIE A. Buffa, M. Costabel, and C. Schwab, Numer. Mat., 92 (2002), 679 710. R. Hitmair and C. Schwab, SIAM J. Numer. Anal., 40 (2002), 66 86. A. Buffa and S. H. Christiansen, Numer. Mat., 94 (2003), 229 267. F. Leydecker, PhD thesis, Universität Hannover, Germany, 2006. A. B. and N. Heuer, Al. Numer. Math., 60 (2010), 705 718. A. B. and N. Heuer, IMA J. Numer. Anal., 30 (2010), 595 628. A. B., N. Heuer and R. Hitmair, SIAM J. Numer. Anal., 48 (2010), 1518 1529. A. Besalov Polynomial aroximations of regular and singular vector fields 27/27

References Natural BEM for the EFIE A. Buffa, M. Costabel, and C. Schwab, Numer. Mat., 92 (2002), 679 710. R. Hitmair and C. Schwab, SIAM J. Numer. Anal., 40 (2002), 66 86. A. Buffa and S. H. Christiansen, Numer. Mat., 94 (2003), 229 267. F. Leydecker, PhD thesis, Universität Hannover, Germany, 2006. A. B. and N. Heuer, Al. Numer. Math., 60 (2010), 705 718. A. B. and N. Heuer, IMA J. Numer. Anal., 30 (2010), 595 628. A. B., N. Heuer and R. Hitmair, SIAM J. Numer. Anal., 48 (2010), 1518 1529. Thank you for your attention! A. Besalov Polynomial aroximations of regular and singular vector fields 27/27