LEADER 05659nam 22006135 450 001 9910789219303321 005 20220909095308.0 010 $a1-4612-0953-6 024 7 $a10.1007/978-1-4612-0953-9 035 $a(CKB)3400000000089336 035 $a(SSID)ssj0001298010 035 $a(PQKBManifestationID)11739050 035 $a(PQKBTitleCode)TC0001298010 035 $a(PQKBWorkID)11230009 035 $a(PQKB)10435867 035 $a(DE-He213)978-1-4612-0953-9 035 $a(MiAaPQ)EBC3074376 035 $a(PPN)237994828 035 $a(EXLCZ)993400000000089336 100 $a20121227d1991 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPartial Differential Equations$b[electronic resource] /$fby Jeffrey Rauch 205 $a1st ed. 1991. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d1991. 215 $a1 online resource (X, 266 p.) 225 1 $aGraduate Texts in Mathematics,$x0072-5285 ;$v128 300 $a"With 42 illustrations." 311 1 $a0-387-97472-5 311 1 $a1-4612-6959-8 320 $aIncludes bibliographical references and index. 327 $a1 Power Series Methods -- 1.1. The Simplest Partial Differential Equation -- 1.2. The Initial Value Problem for Ordinary Differential Equations -- 1.3. Power Series and the Initial Value Problem for Partial Differential Equations -- 1.4. The Fully Nonlinear Cauchy?Kowaleskaya Theorem -- 1.5. Cauchy?Kowaleskaya with General Initial Surfaces -- 1.6. The Symbol of a Differential Operator -- 1.7. Holmgren?s Uniqueness Theorem -- 1.8. Fritz John?s Global Holmgren Theorem -- 1.9. Characteristics and Singular Solutions -- 2 Some Harmonic Analysis -- 2.1. The Schwartz Space mathcal -- 2.2. The Fourier Transform on mathcal -- 2.3. The Fourier Transform -- 2.4. Tempered Distributions -- 2.5. Convolution -- 2.6. Derivatives and Sobolev Spaces -- 3 Solution of Initial Value Problems by Fourier Synthesis -- 3.1. Introduction -- 3.2. Schrödinger?s Equation -- 3.3. Solutions of Schrödinger?s Equation with Data -- 3.4. Generalized Solutions of Schrödinger?s Equation -- 3.5. Alternate Characterizations of the Generalized Solution -- 3.6. Fourier Synthesis for the Heat Equation -- 3.7. Fourier Synthesis for the Wave Equation -- 3.8. Fourier Synthesis for the Cauchy?Riemann Operator -- 3.9. The Sideways Heat Equation and Null Solutions -- 3.10. The Hadamard?Petrowsky Dichotomy -- 3.11. Inhomogeneous Equations, Duhamel?s Principle -- 4 Propagators and-Space Methods -- 4.1. Introduction -- 4.2. Solution Formulas in x Space -- 4.3. Applications of the Heat Propagator -- 4.4. Applications of the Schrödinger Propagator -- 4.5. The Wave Equation Propagator ford = 1 -- 4.6. Rotation-Invariant Smooth Solutions -- 4.7. The Wave Equation Propagator -- 4.8. The Method of Descent -- 4.9. Radiation Problems -- 5 The Dirichlet Problem -- 5.1. Introduction -- 5.2. Dirichlet?s Principle -- 5.3. The Direct Method of the Calculus of Variations -- 5.4. Variations on the Theme -- 5.5. H1 the Dirichlet Boundary Condition -- 5.6. The Fredholm Alternative -- 5.7. Eigenfunctions and the Method of Separation of Variables -- 5.8. Tangential Regularity for the Dirichlet Problem -- 5.9. Standard Elliptic Regularity Theorems -- 5.10. Maximum Principles from Potential Theory -- 5.11. E. Hopf?s Strong Maximum Principles -- APPEND -- A Crash Course in Distribution Theory -- References. 330 $aThis book is based on a course I have given five times at the University of Michigan, beginning in 1973. The aim is to present an introduction to a sampling of ideas, phenomena, and methods from the subject of partial differential equations that can be presented in one semester and requires no previous knowledge of differential equations. The problems, with hints and discussion, form an important and integral part of the course. In our department, students with a variety of specialties-notably differen­ tial geometry, numerical analysis, mathematical physics, complex analysis, physics, and partial differential equations-have a need for such a course. The goal of a one-term course forces the omission of many topics. Everyone, including me, can find fault with the selections that I have made. One of the things that makes partial differential equations difficult to learn is that it uses a wide variety of tools. In a short course, there is no time for the leisurely development of background material. Consequently, I suppose that the reader is trained in advanced calculus, real analysis, the rudiments of complex analysis, and the language offunctional analysis. Such a background is not unusual for the students mentioned above. Students missing one of the "essentials" can usually catch up simultaneously. A more difficult problem is what to do about the Theory of Distributions. 410 0$aGraduate Texts in Mathematics,$x0072-5285 ;$v128 606 $aMathematical analysis 606 $aAnalysis (Mathematics) 606 $aAnalysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M12007 615 0$aMathematical analysis. 615 0$aAnalysis (Mathematics). 615 14$aAnalysis. 676 $a515 686 $a35-01$2msc 686 $a35J05$2msc 686 $a35L05$2msc 686 $a35A10$2msc 686 $a35Exx$2msc 700 $aRauch$b Jeffrey$4aut$4http://id.loc.gov/vocabulary/relators/aut$042635 906 $aBOOK 912 $a9910789219303321 996 $aPartial differential equations$979353 997 $aUNINA