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The Fast Solution of Boundary Integral Equations (Mathematical and Analytical Techniques with Applications to Engineering) PDF

291 Pages·2007·10.15 MB·English
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The Fast Solution of Boundary Integral Equations MATHEMATICAL AND ANALYTICAL TECHNIQUES WITH APPLICATIONS TO ENGINEERING SeriesEditor AlanJeffrey Theimportanceofmathematicsinthestudyofproblemsarisingfromtherealworld, andtheincreasingsuccesswithwhichithasbeenusedtomodelsituationsranging from the purely deterministic to the stochastic, in all areas of today’s Physical SciencesandEngineering,iswellestablished.Theprogressinapplicablemathematics has been brought about by the extension and development of many important analytical approaches and techniques, in areas both old and new, frequently aided bytheuseofcomputerswithoutwhichthesolutionofrealisticproblemsinmodern Physical Sciences and Engineering would otherwise have been impossible. The purposeoftheseriesistomakeavailableauthoritative,uptodate,andself-contained accounts of some of the most important and useful of these analytical approaches and techniques. Each volume in the series will provide a detailed introduction to a specificsubjectareaofcurrentimportance,andthenwillgobeyondthisbyreviewing recentcontributions,therebyservingasavaluablereferencesource. SeriesTitles: THEFASTSOLUTIONOFBOUNDARYINTEGRALEQUATIONS SergejRjasanow&OlafSteinbach,ISBN978-0-387-34041-8 THEORYOFSTOCHASTICDIFFERENTIALEQUATIONSWITHJUMPSAND APPLICATIONS RongSitu,ISBN978-0-387-25083-0 METHODSFORCONSTRUCTINGEXACTSOLUTIONSOFPARTIAL DIFFERENTIALEQUATIONS S.V.Meleshko,ISBN978-0-387-25060-1 INVERSEPROBLEMS AlexanderG.Ramm,ISBN978-0-387-23195-2 SINGULARPERTURBATIONTHEORY RobinS.Johnson,ISBN978-0-387-23200-3 INVERSEPROBLEMSINELECTRICCIRCUITSANDELECTROMAGNETICS N.V.Korovkin,ISBN978-0-387-33524-7 The Fast Solution of Boundary Integral Equations Sergej Rjasanow UniversitätdesSaarlandes Olaf Steinbach TechnischeUniversitätGraz SergejRjasanow Fachrichtung6.1–Mathematik UniversitätdesSaarlandes Postfach151150 D-66041Saarbrücken GERMANY OlafSteinbach InstitutfürNumerischeMathematik TechnischeUniversitätGraz Steyrergasse30 A-8010Graz AUSTRIA LibraryofCongressControlNumber:2006927233 ISBN978-0-387-34041-8 e-ISBN978-0-387-34042-5 ISBN0-387-34041-6 e-ISBN0-387-34042-4 Printedonacid-freepaper. (cid:2)c 2007SpringerScience+BusinessMedia,LLC Allrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithout thewrittenpermissionofthepublisher(SpringerScience+BusinessMedia,LLC,233Spring Street,NewYork,NY10013,USA),exceptforbriefexcerptsinconnectionwithreviews orscholarlyanalysis.Useinconnectionwithanyformofinformationstorageandretrieval, electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynowknow orhereafterdevelopedisforbidden.Theuseinthispublicationoftradenames,trademarks, service marks and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. 9 8 7 6 5 4 3 2 1 springer.com Preface BoundaryElementMethods(BEM)playanimportantroleinmodernnumer- icalcomputationsintheappliedandengineeringsciences.Suchalgorithmsare often more convenient than the traditional Finite Element Method (FEM), sincethecorrespondingequationsareformulatedontheboundary,and,there- fore,asignificantreductionofdimensionalitytakesplace.Especiallywhenthe physicaldescriptionoftheproblemleadstoanunboundeddomain,traditional methods like FEM become unalluring. A numerical procedure, called Boundary Element Methods (BEM), has been developed in the physics and engineering community since the 1950s. This method turns out to be a powerful tool for numerical studies of various physical phenomena. The most prominent examples of such phenomena are the potential equation (Laplace equation) in electromagnetism, gravitation theory,andinperfectfluids.AfurtherexampleleadingtotheLaplaceequation is the steady state heat flow. One of the most popular applications of the BEM is, however, the system of linear elastostatics which can be considered inbothboundedandunboundeddomains.Asimplemodelforafluidflow,the Stokessystem,canalsobesolvedbytheuseoftheBEM.Themostimportant examplesfortheHelmholtzequationaretheacousticscatteringandthesound radiation. It has been known for a long time that boundary value problems for el- liptic partial differential equations can be reformulated in terms of boundary integral equations. The trace of the solution on the boundary and its co- normal derivative (Cauchy data) can be found by solving these equations numerically. The solution of the problem as well as its gradients or even high order derivatives are then given by the application of Green’s third formula (representation formula); this method based on Green’s formula is called the directBEMapproach.Anotherpossibilityistousethepropertythatsingleor double layer potentials solve the partial differential equation exactly for any given density function. Thus, this function can be used in order to fulfill the boundary conditions. The density function obtained this way has, in general, VI no physical meaning. Therefore, these boundary element methods are called indirect. When boundary integral equations are approximated and solved numer- ically, the study of stability and convergence is the most important issue. The most popular numerical methods are the Galerkin methods which per- fectly fit to the variational formulation of the boundary integral equations. The theoretical study of the Galerkin methods is now completed and pro- videsapowerfultheoreticalbackgroundforBEM.Traditionally,however,the collocation methods were widely used, especially in the engineering commu- nity. These methods provide an easier practical implementation compared with the Galerkin methods. However, the stability and convergence theory for collocation methods is available only for two-dimensional problems. Fur- thermore, the error analysis of the collocation methods for three-dimensional problems, when assuming their stability, shows that the rate of convergence oftheGalerkinmethodsisbetter,whenassumingthatthesolutionissmooth enough. Inanycase,anumericalprocedureappliedtotheboundaryintegralequa- tionleadstoalinearsystemofalgebraicequations.Thematrixofthissystem isingeneraldense,i.e.almostallitsentriesaredifferentfromzero,and,there- fore, have to be stored in computer memory. It is clear that this is the main disadvantage of the BEM compared with FEM which leads to sparse matri- ces.Thisquadraticamountofcomputermemorysetsverystrong,unattractive bounds for the discretisation parameters and, often, force the user to switch to the out–of–core programming. However, so called fast BEM have been de- veloped in the last two decades. The original methods are the Fast Multipole Method and the Panel Clustering; another example is the use of wavelets. Furthermore, the Adaptive Cross Approximation (ACA) was introduced and successfully applied to many practical problems in the last years. The purpose of this book is twofold. The first goal is to give an exact mathematical description of various mathematical formulations and numer- ical methods for boundary integral equations in the three-dimensional case in an uniform and possibly compact form. The second goal is a systematic numerical treatment of a variety of boundary value problems for the Laplace equation, for the linear elastostatics system, and for the Helmholtz equation. This study will illustrate both the convergence of the Galerkin methods cor- responding to the theory and the fast realisation of BEM based on the ACA method.Werestrictournumericalteststosomemoreorlessartificialsurface examples. The simplest one is the surface of the unit sphere. Furthermore, two TEAM examples (Testing Electromagnetic Analysis Methods) will be considered besides some other non-trivial surfaces. Thisbookissubdividedintofourparts.Chapter1providesanoverviewof the direct and indirect reformulations of second order boundary value prob- lemsbyusingboundaryintegralequations,anditdiscussesthemappingprop- erties of all boundary integral operators involved. From this, the unique solv- abilityoftheresultingboundaryintegralequationsandthecontinuousdepen- VII dence of the solution on the given boundary data can be deduced. Chapter 2 is concerned with boundary element methods, especially with the Galerkin method.ThediscreteversionoftheboundaryintegralequationsfromChapter 1 and their variational formulations lead to systems of linear equations with different matrices. The entries of these matrices are explicitly derived for all integral operators involved. Chapter 3 describes the Adaptive Cross Approx- imation of dense matrices and provides, in addition to the theory, some first numerical examples. The largest part of the book, Chapter 4, contains some results of numerical experiments. First, the Laplace equation is considered, where we study Dirichlet, Neumann, and mixed boundary value problems as wellasaninhomogeneousinterfaceproblem.Then,twomixedboundaryvalue problemsoflinearelastostaticswillbepresented,and,finally,manyexamples for the Helmholtz equation are described. We consider again Dirichlet and Neumann, interior and exterior boundary value problems as well as multifre- quency analysis. Many auxiliary results are collected in three appendices. The chapters are relatively independent of one another. Necessary nota- tions and formulas are not only cross-referred to other chapters but usually repeated at the appropriate places. In 2003, Prof. Allan Jeffrey approached us with the idea to write a book about fast solutions of boundary integral equations. It has been delightful to writethisbookandwearealsoverythankfulforhisprovidingtheopportunity to get this book published. WewouldliketothankourcolleaguesfromtheBEMcommunityformany useful discussions and suggestions. We are grateful to our home institutions, the University of Saarland in Saarbru¨cken and the Technical University in Graz, for providing an excellent scientific environment and financial funding to our research. We appreciate the help of Ju¨rgen Rachor, who read the manuscript and made valuable comments and corrections. Furthermore, the authors would very much like to express their appreciation to Richard Grzibovski for his help in performing numerical tests. Saarbru¨cken and Graz Sergej Rjasanow March 2007 Olaf Steinbach Contents Preface ........................................................ V 1 Boundary Integral Equations .............................. 1 1.1 Laplace Equation........................................ 2 1.1.1 Interior Dirichlet Boundary Value Problem ........... 10 1.1.2 Interior Neumann Boundary Value Problem .......... 13 1.1.3 Mixed Boundary Value Problem..................... 17 1.1.4 Robin Boundary Value Problem..................... 19 1.1.5 Exterior Dirichlet Boundary Value Problem........... 21 1.1.6 Exterior Neumann Boundary Value Problem.......... 22 1.1.7 Poisson Problem .................................. 24 1.1.8 Interface Problem ................................. 26 1.2 Lam´e Equations......................................... 27 1.2.1 Dirichlet Boundary Value Problem .................. 35 1.2.2 Neumann Boundary Value Problem.................. 36 1.2.3 Mixed Boundary Value Problem..................... 37 1.3 Stokes System .......................................... 40 1.4 Helmholtz Equation ..................................... 44 1.4.1 Interior Dirichlet Boundary Value Problem ........... 49 1.4.2 Interior Neumann Boundary Value Problem .......... 50 1.4.3 Exterior Dirichlet Boundary Value Problem........... 52 1.4.4 Exterior Neumann Boundary Value Problem.......... 54 1.5 Bibliographic Remarks ................................... 56 2 Boundary Element Methods ............................... 59 2.1 Boundary Elements...................................... 59 2.2 Basis Functions ......................................... 61 2.3 Laplace Equation........................................ 65 2.3.1 Interior Dirichlet Boundary Value Problem ........... 65 2.3.2 Interior Neumann Boundary Value Problem .......... 72 2.3.3 Mixed Boundary Value Problem..................... 77

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The use of surface potentials to describe solutions of partial differential equations goes back to the middle of the 19th century. Numerical approximation procedures, known today as Boundary Element Methods (BEM), have been developed in the physics and engineering community since the 1950s. These me
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