Boundary Value Problems for Elliptic Partial Differential Equations Mourad Choulli

Total Page:16

File Type:pdf, Size:1020Kb

Boundary Value Problems for Elliptic Partial Differential Equations Mourad Choulli Boundary value problems for elliptic partial differential equations Mourad Choulli To cite this version: Mourad Choulli. Boundary value problems for elliptic partial differential equations. Master. France. 2019. hal-02406106 HAL Id: hal-02406106 https://hal.archives-ouvertes.fr/hal-02406106 Submitted on 12 Dec 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Mourad Choulli Boundary value problems for elliptic partial differential equations Preface This course is intended as an introduction to the analysis of elliptic partial differen- tial equations. The objective is to provide a large overview of the different aspects of elliptic partial differential equations and their modern treatment. Besides vari- ational and Schauder methods we study the unique continuation property and the stability for Cauchy problems. The derivation of the unique continuation property and the stability for Cauchy problems relies on a Carleman inequality. This inequal- ity is efficient to establish three-ball type inequalities which are the main tool in the continuation argument. We know that historically a central role in the analysis of partial differential equa- tions is played by their fundamental solutions. We added an appendix dealing with the construction of a fundamental solution by the so-called Levi parametrix method. We tried as much as possible to render this course self-contained. Moreover each chapter contains many exercices and problems. We have provided detailed solutions of these exercises and problems. The most parts of this course consist in an enhanced version of courses given by the author in both undergraduate and graduate levels during several years. Remarks and comments that can help to improve this course are welcome. 3 Contents 1 Sobolev spaces ................................................. 7 1.1 Lp spaces . .7 1.2 Approximation by smooth functions . 10 1.3 Weak derivatives . 15 1.4 W k;p spaces . 17 1.5 Extension and trace operators . 23 1.6 Imbedding Theorems . 31 1.7 Exercises and problems . 38 References . 44 2 Variational solutions ............................................ 45 2.1 Stampacchia’s theorem and Lax-Milgram lemma . 45 2.2 Elements of the spectral theory of compact operators . 48 2.3 Variational solutions for model problems . 60 2.3.1 Variational solutions . 60 2.3.2 H2-regularity of variational solutions . 64 2.3.3 Maximum principle . 72 2.3.4 Uniqueness of continuation across a non characteristic hypersurface . 74 2.4 General elliptic operators in divergence form . 81 2.4.1 Weak maximum principle . 82 2.4.2 The Dirichlet problem . 84 2.4.3 Harnack inequalities . 87 2.5 Exercises and problems . 98 References . 104 3 Classical solutions ..............................................105 3.1 Holder¨ spaces . 105 3.2 Equivalent semi-norms on Holder¨ spaces . 111 3.3 Maximum principle . 114 3.4 Some estimates for Harmonic functions . 121 5 6 Contents 3.5 Interior Schauder estimates . 126 3.6 The Dirichlet problem in a ball . 130 3.7 Dirichlet problem on a bounded domain . 133 3.8 Exercises and problems . 136 References . 145 4 Classical inequalities, Cauchy problems and unique continuation . 147 4.1 Classical inequalities for harmonic functions . 147 4.2 Two-dimensional Cauchy problems . 155 4.3 A Carleman inequality for a family of operators . 160 4.4 Three-ball inequalities . 163 4.5 Stability of the Cauchy problem . 168 4.6 Exercises and problems . 178 References . 184 Solutions of Exercises and Problems ..................................185 A Building a fundamental solution by the parametrix method . 237 A.1 Functions defined by singular integrals . 237 A.2 Weakly singular integral operators . 245 A.3 Canonical parametrix . 251 A.4 Fundamental solution . 258 References . 266 Index .............................................................267 Chapter 1 Sobolev spaces We define in this chapter the W k;p-spaces when k is non negative integer and 1 ≤ p < ¥ and we collect their main properties. We adopt the same approach as in the books by H. Brezis´ [2] and M. Willem [13]. That is we get around the theory of distributions. We precisely use the notion of weak derivative which in fact coincide with the derivative in the distributional sense. We refer the interested reader to the books by L. Hormander¨ [3] and C. Zuily [14] for a self-contained presentation of the theory of distributions. The most results and proofs of this chapter are borrowed from [2, 13]. 1.1 Lp spaces n In this chapter W denotes an open subset of R . As usual, we identify a measur- able function f on W by its equivalence class consisting of functions that are equal almost everywhere to f . For simplicity convenience the essential supremum and the essential minimum are simply denoted respectively by the supremum and the minimum. n Let dx be the Lebesgue measure on R . Define Z 1 L (W) = f : W ! C measurable and j f (x)jdx < ¥ : W Theorem 1.1. (Lebesgue’s dominated convergence theorem) Let ( fm) be a sequence in L1(W) satisfying (a) fm(x) ! f (x) a.e. x 2 W, 1 (b) there exists g 2 L (W) so that for any m j fm(x)j ≤ g(x) a.e. x 2 W. Then f 2 L1(W) and Z j fm − f jdx ! 0: W 7 8 1 Sobolev spaces 1 Theorem 1.2. (Fubini’s theorem) Let f 2 L (W1 ×W2), where Wi is an open subset n of R i , i = 1;2. Then Z 1 1 f (x;·) 2 L (W2) a:e: x 2 W1; f (·;y)dy 2 L (W1) W2 and Z 1 1 f (·;y) 2 L (W1) a:e: y 2 W2; f (x;·)dx 2 L (W2): W1 Moreover Z Z Z Z Z dx f (x;y)dy = dy f (x;y)dx = f (x;y)dxdy: W1 W2 W2 W1 W1×W2 Recall that Lp(W), p ≥ 1, denotes the Banach space of measurable functions f on W satisfying j f jp 2 L1(W). We endow Lp(W) with its natural norm Z 1=p p k f kp;W = k f kLp(W) = j f j dx : W Let L¥(W) denotes the Banach space of bounded measurable functions f on W. This space equipped with the norm k f k¥;W = k f kL¥(W) = supj f j: When there is no confusion k f kLp(W) is simply denoted by k f kp. The conjugate exponent of p, 1 < p < ¥, is given by the formula p p0 = : p − 1 Note that we have the identity 1 1 + = 1: p p0 If p = 1 (resp. p = ¥) we set p0 = ¥ (resp. p0 = 1). The following inequalities will be very useful in the rest of this text. 0 Proposition 1.1. (Holder’s¨ inequality) Let f 2 Lp(W) and g 2 Lp (W), where 1 ≤ p ≤ ¥. Then f g 2 L1(W) and Z j f gjdx ≤ k f kpkgkp0 : W Proposition 1.2. (Generalized Holder’s¨ inequality) Fix k ≥ 2 an integer. Let 1 < p j < ¥, 1 ≤ j ≤ k so that 1 1 + ::: + = 1: p1 pk p j k 1 If u j 2 L (W), 1 ≤ j ≤ k, then ∏ j=1 u j 2 L (W) and 1.1 Lp spaces 9 Z k k ∏ ju jjdx ≤ ∏ ku jkp j : W j=1 j=1 Proposition 1.3. (Interpolation inequality) Let 1 ≤ p < q < r < ¥ and 0 < l < 1 given by 1 1 − l l = + : q p r If u 2 Lp(W) \ Lr(W) then u 2 Lq(W) and 1−l l kukq ≤ kukp kukr : n As usual if E ⊂ R is a measurable set, its measure is denoted by jEj. Proposition 1.4. Let 1 ≤ p < q < ¥ and assume that jWj < ¥. If u 2 Lq(W) then u 2 Lp(W) and 1 − 1 kukp ≤ jWj p q kukq: We collect in the following theorem the main properties of the Lp spaces. Theorem 1.3. (i) Lp(W) is reflexive for any 1 < p < ¥. (ii) Lp(W) is separable for any 1 ≤ p < ¥. (iii) Let 1 ≤ p < ¥ and u 2 [Lp(W)]0, the dual of Lp(W). Then there exists a unique p0 gu 2 L (W) so Z p hu; f i = u( f ) = f gudx for any f 2 L (W): W Furthermore 0 kuk[Lp(W)]0 = kgukLp (W): Theorem 1.3 (iii) says that the mapping u 7! gu is an isometric isomorphism 0 between [Lp(W)]0 and Lp (W). Therefore, we always identify in the sequel the dual 0 of Lp(W) by Lp (W). The following theorem gives sufficient conditions for a subset of Lp(W) to be relatively compact. Theorem 1.4. (M. Riesz-Frechet-Kolmogorov)´ Let F ⊂ Lp(W), 1 ≤ p < ¥, admit- ting the following properties. (i) sup f 2F k f kLp(W) < ¥. (ii) For any w b W, we have lim kth f − f kLp(w) = 0; h!0 where th f (x) = f (x − h); x 2 w, provided that jhj sufficiently small. (iii) For any e > 0, there exists w b W so that, for every f 2 F , k f kLp(Wnw) < e. Then F is relatively compact in Lp(W). 10 1 Sobolev spaces We end the present section by a density result, where Cc(W) denotes the space of continuous functions with compact supported in W.
Recommended publications
  • Sobolev Spaces, Theory and Applications
    Sobolev spaces, theory and applications Piotr Haj lasz1 Introduction These are the notes that I prepared for the participants of the Summer School in Mathematics in Jyv¨askyl¨a,August, 1998. I thank Pekka Koskela for his kind invitation. This is the second summer course that I delivere in Finland. Last August I delivered a similar course entitled Sobolev spaces and calculus of variations in Helsinki. The subject was similar, so it was not posible to avoid overlapping. However, the overlapping is little. I estimate it as 25%. While preparing the notes I used partially the notes that I prepared for the previous course. Moreover Lectures 9 and 10 are based on the text of my joint work with Pekka Koskela [33]. The notes probably will not cover all the material presented during the course and at the some time not all the material written here will be presented during the School. This is however, not so bad: if some of the results presented on lectures will go beyond the notes, then there will be some reasons to listen the course and at the same time if some of the results will be explained in more details in notes, then it might be worth to look at them. The notes were prepared in hurry and so there are many bugs and they are not complete. Some of the sections and theorems are unfinished. At the end of the notes I enclosed some references together with comments. This section was also prepared in hurry and so probably many of the authors who contributed to the subject were not mentioned.
    [Show full text]
  • Notes on Partial Differential Equations John K. Hunter
    Notes on Partial Differential Equations John K. Hunter Department of Mathematics, University of California at Davis Contents Chapter 1. Preliminaries 1 1.1. Euclidean space 1 1.2. Spaces of continuous functions 1 1.3. H¨olderspaces 2 1.4. Lp spaces 3 1.5. Compactness 6 1.6. Averages 7 1.7. Convolutions 7 1.8. Derivatives and multi-index notation 8 1.9. Mollifiers 10 1.10. Boundaries of open sets 12 1.11. Change of variables 16 1.12. Divergence theorem 16 Chapter 2. Laplace's equation 19 2.1. Mean value theorem 20 2.2. Derivative estimates and analyticity 23 2.3. Maximum principle 26 2.4. Harnack's inequality 31 2.5. Green's identities 32 2.6. Fundamental solution 33 2.7. The Newtonian potential 34 2.8. Singular integral operators 43 Chapter 3. Sobolev spaces 47 3.1. Weak derivatives 47 3.2. Examples 47 3.3. Distributions 50 3.4. Properties of weak derivatives 53 3.5. Sobolev spaces 56 3.6. Approximation of Sobolev functions 57 3.7. Sobolev embedding: p < n 57 3.8. Sobolev embedding: p > n 66 3.9. Boundary values of Sobolev functions 69 3.10. Compactness results 71 3.11. Sobolev functions on Ω ⊂ Rn 73 3.A. Lipschitz functions 75 3.B. Absolutely continuous functions 76 3.C. Functions of bounded variation 78 3.D. Borel measures on R 80 v vi CONTENTS 3.E. Radon measures on R 82 3.F. Lebesgue-Stieltjes measures 83 3.G. Integration 84 3.H. Summary 86 Chapter 4.
    [Show full text]
  • Notes on the Atiyah-Singer Index Theorem Liviu I. Nicolaescu
    Notes on the Atiyah-Singer Index Theorem Liviu I. Nicolaescu Notes for a topics in topology course, University of Notre Dame, Spring 2004, Spring 2013. Last revision: November 15, 2013 i The Atiyah-Singer Index Theorem This is arguably one of the deepest and most beautiful results in modern geometry, and in my view is a must know for any geometer/topologist. It has to do with elliptic partial differential opera- tors on a compact manifold, namely those operators P with the property that dim ker P; dim coker P < 1. In general these integers are very difficult to compute without some very precise information about P . Remarkably, their difference, called the index of P , is a “soft” quantity in the sense that its determination can be carried out relying only on topological tools. You should compare this with the following elementary situation. m n Suppose we are given a linear operator A : C ! C . From this information alone we cannot compute the dimension of its kernel or of its cokernel. We can however compute their difference which, according to the rank-nullity theorem for n×m matrices must be dim ker A−dim coker A = m − n. Michael Atiyah and Isadore Singer have shown in the 1960s that the index of an elliptic operator is determined by certain cohomology classes on the background manifold. These cohomology classes are in turn topological invariants of the vector bundles on which the differential operator acts and the homotopy class of the principal symbol of the operator. Moreover, they proved that in order to understand the index problem for an arbitrary elliptic operator it suffices to understand the index problem for a very special class of first order elliptic operators, namely the Dirac type elliptic operators.
    [Show full text]
  • Lecture Notes for MATH 592A
    Lecture Notes for MATH 592A Vladislav Panferov February 25, 2008 1. Introduction As a motivation for developing the theory let’s consider the following boundary-value problem, u′′ + u = f(x) x Ω=(0, 1) − ∈ u(0) = 0, u(1) = 0, where f is a given (smooth) function. We know that the solution is unique, sat- isfies the stability estimate following from the maximum principle, and it can be expressed explicitly through Green’s function. However, there is another way “to say something about the solution”, quite independent of what we’ve done before. Let’s multuply the differential equation by u and integrate by parts. We get x=1 1 1 u′ u + (u′ 2 + u2) dx = f u dx. − x=0 0 0 h i Z Z The boundary terms vanish because of the boundary conditions. We introduce the following notations 1 1 u 2 = u2 dx (thenorm), and (f,u)= f udx (the inner product). k k Z0 Z0 Then the integral identity above can be written in the short form as u′ 2 + u 2 =(f,u). k k k k Now we notice the following inequality (f,u) 6 f u . (Cauchy-Schwarz) | | k kk k This may be familiar from linear algebra. For a quick proof notice that f + λu 2 = f 2 +2λ(f,u)+ λ2 u 2 0 k k k k k k ≥ 1 for any λ. This expression is a quadratic function in λ which has a minimum for λ = (f,u)/ u 2. Using this value of λ and rearranging the terms we get − k k (f,u)2 6 f 2 u 2.
    [Show full text]
  • Introduction to Sobolev Spaces
    Introduction to Sobolev Spaces Lecture Notes MM692 2018-2 Joa Weber UNICAMP December 23, 2018 Contents 1 Introduction1 1.1 Notation and conventions......................2 2 Lp-spaces5 2.1 Borel and Lebesgue measure space on Rn .............5 2.2 Definition...............................8 2.3 Basic properties............................ 11 3 Convolution 13 3.1 Convolution of functions....................... 13 3.2 Convolution of equivalence classes................. 15 3.3 Local Mollification.......................... 16 3.3.1 Locally integrable functions................. 16 3.3.2 Continuous functions..................... 17 3.4 Applications.............................. 18 4 Sobolev spaces 19 4.1 Weak derivatives of locally integrable functions.......... 19 1 4.1.1 The mother of all Sobolev spaces Lloc ........... 19 4.1.2 Examples........................... 20 4.1.3 ACL characterization.................... 21 4.1.4 Weak and partial derivatives................ 22 4.1.5 Approximation characterization............... 23 4.1.6 Bounded weakly differentiable means Lipschitz...... 24 4.1.7 Leibniz or product rule................... 24 4.1.8 Chain rule and change of coordinates............ 25 4.1.9 Equivalence classes of locally integrable functions..... 27 4.2 Definition and basic properties................... 27 4.2.1 The Sobolev spaces W k;p .................. 27 4.2.2 Difference quotient characterization of W 1;p ........ 29 k;p 4.2.3 The compact support Sobolev spaces W0 ........ 30 k;p 4.2.4 The local Sobolev spaces Wloc ............... 30 4.2.5 How the spaces relate.................... 31 4.2.6 Basic properties { products and coordinate change.... 31 i ii CONTENTS 5 Approximation and extension 33 5.1 Approximation............................ 33 5.1.1 Local approximation { any domain............. 33 5.1.2 Global approximation on bounded domains.......
    [Show full text]
  • Advanced Partial Differential Equations Prof. Dr. Thomas
    Advanced Partial Differential Equations Prof. Dr. Thomas Sørensen summer term 2015 Marcel Schaub July 2, 2015 1 Contents 0 Recall PDE 1 & Motivation 3 0.1 Recall PDE 1 . .3 1 Weak derivatives and Sobolev spaces 7 1.1 Sobolev spaces . .8 1.2 Approximation by smooth functions . 11 1.3 Extension of Sobolev functions . 13 1.4 Traces . 15 1.5 Sobolev inequalities . 17 2 Linear 2nd order elliptic PDE 25 2.1 Linear 2nd order elliptic partial differential operators . 25 2.2 Weak solutions . 26 2.3 Existence via Lax-Milgram . 28 2.4 Inhomogeneous bounday value problems . 35 2.5 The space H−1(U) ................................ 36 2.6 Regularity of weak solutions . 39 A Tutorials 58 A.1 Tutorial 1: Review of Integration . 58 A.2 Tutorial 2 . 59 A.3 Tutorial 3: Norms . 61 A.4 Tutorial 4 . 62 A.5 Tutorial 6 (Sheet 7) . 65 A.6 Tutorial 7 . 65 A.7 Tutorial 9 . 67 A.8 Tutorium 11 . 67 B Solutions of the problem sheets 70 B.1 Solution to Sheet 1 . 70 B.2 Solution to Sheet 2 . 71 B.3 Solution to Problem Sheet 3 . 73 B.4 Solution to Problem Sheet 4 . 76 B.5 Solution to Exercise Sheet 5 . 77 B.6 Solution to Exercise Sheet 7 . 81 B.7 Solution to problem sheet 8 . 84 B.8 Solution to Exercise Sheet 9 . 87 2 0 Recall PDE 1 & Motivation 0.1 Recall PDE 1 We mainly studied linear 2nd order equations – specifically, elliptic, parabolic and hyper- bolic equations. Concretely: • The Laplace equation ∆u = 0 (elliptic) • The Poisson equation −∆u = f (elliptic) • The Heat equation ut − ∆u = 0, ut − ∆u = f (parabolic) • The Wave equation utt − ∆u = 0, utt − ∆u = f (hyperbolic) We studied (“main motivation; goal”) well-posedness (à la Hadamard) 1.
    [Show full text]
  • An Introduction to Pseudo-Differential Operators
    An introduction to pseudo-differential operators Jean-Marc Bouclet1 Universit´ede Toulouse 3 Institut de Math´ematiquesde Toulouse [email protected] 2 Contents 1 Background on analysis on manifolds 7 2 The Weyl law: statement of the problem 13 3 Pseudodifferential calculus 19 3.1 The Fourier transform . 19 3.2 Definition of pseudo-differential operators . 21 3.3 Symbolic calculus . 24 3.4 Proofs . 27 4 Some tools of spectral theory 41 4.1 Hilbert-Schmidt operators . 41 4.2 Trace class operators . 44 4.3 Functional calculus via the Helffer-Sj¨ostrandformula . 50 5 L2 bounds for pseudo-differential operators 55 5.1 L2 estimates . 55 5.2 Hilbert-Schmidt estimates . 60 5.3 Trace class estimates . 61 6 Elliptic parametrix and applications 65 n 6.1 Parametrix on R ................................ 65 6.2 Localization of the parametrix . 71 7 Proof of the Weyl law 75 7.1 The resolvent of the Laplacian on a compact manifold . 75 7.2 Diagonalization of ∆g .............................. 78 7.3 Proof of the Weyl law . 81 A Proof of the Peetre Theorem 85 3 4 CONTENTS Introduction The spirit of these notes is to use the famous Weyl law (on the asymptotic distribution of eigenvalues of the Laplace operator on a compact manifold) as a case study to introduce and illustrate one of the many applications of the pseudo-differential calculus. The material presented here corresponds to a 24 hours course taught in Toulouse in 2012 and 2013. We introduce all tools required to give a complete proof of the Weyl law, mainly the semiclassical pseudo-differential calculus, and then of course prove it! The price to pay is that we avoid presenting many classical concepts or results which are not necessary for our purpose (such as Borel summations, principal symbols, invariance by diffeomorphism or the G˚ardinginequality).
    [Show full text]
  • Delta Functions and Distributions
    When functions have no value(s): Delta functions and distributions Steven G. Johnson, MIT course 18.303 notes Created October 2010, updated March 8, 2017. Abstract x = 0. That is, one would like the function δ(x) = 0 for all x 6= 0, but with R δ(x)dx = 1 for any in- These notes give a brief introduction to the mo- tegration region that includes x = 0; this concept tivations, concepts, and properties of distributions, is called a “Dirac delta function” or simply a “delta which generalize the notion of functions f(x) to al- function.” δ(x) is usually the simplest right-hand- low derivatives of discontinuities, “delta” functions, side for which to solve differential equations, yielding and other nice things. This generalization is in- a Green’s function. It is also the simplest way to creasingly important the more you work with linear consider physical effects that are concentrated within PDEs, as we do in 18.303. For example, Green’s func- very small volumes or times, for which you don’t ac- tions are extremely cumbersome if one does not al- tually want to worry about the microscopic details low delta functions. Moreover, solving PDEs with in this volume—for example, think of the concepts of functions that are not classically differentiable is of a “point charge,” a “point mass,” a force plucking a great practical importance (e.g. a plucked string with string at “one point,” a “kick” that “suddenly” imparts a triangle shape is not twice differentiable, making some momentum to an object, and so on.
    [Show full text]
  • Part I, Chapter 2 Weak Derivatives and Sobolev Spaces 2.1 Differentiation
    Part I, Chapter 2 Weak derivatives and Sobolev spaces We investigate in this chapter the notion of differentiation for Lebesgue inte- grable functions. We introduce an extension of the classical concept of deriva- tive and partial derivative which is called weak derivative. This notion will be used throughout the book. It is particularly useful when one tries to differen- tiate finite element functions that are continuous and piecewise polynomial. In that case one does not need to bother about the points where the classical derivative is multivalued to define the weak derivative. We also introduce the concept of Sobolev spaces. These spaces are useful to study the well-posedness of partial differential equations and their approximation using finite elements. 2.1 Differentiation We study here the concept of differentiation for Lebesgue integrable functions. 2.1.1 Lebesgue Points Theorem 2.1 (Lebesgue points). Let f L1(D). Let B(x,h) be the ball of radius h> 0 centered at x D. The following∈ holds true for a.e. x D: ∈ ∈ 1 lim f(y) f(x) dy =0. (2.1) h 0 B(x,h) | − | ↓ | | ZB(x,h) Points x D where (2.1) holds true are called Lebesgue points of f. ∈ Proof. See, e.g., Rudin [162, Thm. 7.6]. This result says that for a.e. x D, the averages of f( ) f(x) are small over small balls centered at x∈, i.e., f does not oscillate| · too− much| in the neighborhood of x. Notice that if the function f is continuous at x, then x is a Lebesgue point of f (recall that a continuous function is uniformly continuous over compact sets).
    [Show full text]
  • The Resolvent Parametrix of the General Elliptic Linear Differential Operator: a Closed Form for the Intrinsic Symbol
    transactions of the american mathematical society Volume 310, Number 2, December 1988 THE RESOLVENT PARAMETRIX OF THE GENERAL ELLIPTIC LINEAR DIFFERENTIAL OPERATOR: A CLOSED FORM FOR THE INTRINSIC SYMBOL S. A. FULLING AND G. KENNEDY ABSTRACT. Nonrecursive, explicit expressions are obtained for the term of arbitrary order in the asymptotic expansion of the intrinsic symbol of a resol- vent parametrix of an elliptic linear differential operator, of arbitrary order and algebraic structure, which acts on sections of a vector bundle over a manifold. Results for the conventional symbol are included as a special case. 1. Introduction. As is well known, the resolvent operator, (A - A)-1, plays a central role in the functional analysis associated with an elliptic linear differential operator A. In particular, from it one can easily obtain the corresponding heat operator, e~tA, for t G R+ and semibounded A. Furthermore, detailed knowledge of the terms in the asymptotic expansions of the integral kernels of the resolvent and heat operators is of great value in calculating the asymptotics of eigenvalues and spectral functions [12, 25, 2, 3, 33]; partial solutions of inverse problems [26, 15]; indices of Fredholm operators [1, 19, 20]; and various physical quantities, including specific heats [4], partition functions [49], renormalized effective actions [38, 14, 34, 45, 8], and renormalized energy-momentum tensors [9, 43, 44]. (The references given here are merely representative.) It is important, therefore, to have available an efficient and general method for calculating such terms. The present paper addresses this topic for the resolvent operator, or, more precisely, a resolvent parametrix; later papers will treat the heat operator.
    [Show full text]
  • The Heat Kernel Dexter Chua
    The Heat Kernel Dexter Chua 1 The Heat Equation 3 2 Heat Kernel for the Laplacian 8 3 Heat Kernel on an Unbounded Domain 13 4 The Hirzebruch Signature Theorem 17 5 Signature for Manifolds with Boundary 19 6 Heat Equation on the Boundary 22 7 Heat Equation on Manifold with Boundary 27 Appendix A Index and Geometry 30 On a closed Riemannian manifold, there are three closely related objects we can study: (i) Topological invariants such as the Euler characteristic and the signature; (ii) Indexes of differential operators; and (iii) Differential forms on the manifold. (i) and (ii) are mainly related by the Hodge decomposition theorem | the signature and Euler characteristic count the dimensions of the cohomology groups, and Hodge theory says the cohomology groups are exactly the kernels of the Laplacian. This is explored briefly in Appendix A. (i) and (iii) are related to each other via results such as the Gauss{Bonnet theorem and the Hirzebruch signature theorem. The Gauss{Bonnet theorem says the Euler characteristic of a surface is the integral of the curvature; The Hirzebruch signature theorem says the signature is the integral of certain differential forms called the L-genus, given as a polynomial function of the Pontryagin forms. (ii) and (iii) can also be related directly to each other, and this connection is what I would call \index theory". The main theorem is the Atiyah{Singer index theorem, 1 and once we have accepted the connection between (i) and (ii), we can regard the Gauss{Bonnet theorem and the Hirzebruch signature theorem as our prototypical examples of index theory.
    [Show full text]
  • Lebegue-Bochner Spaces and Evolution Triples
    of Math al em rn a u ti o c J s l A a Int. J. Math. And Appl., 7(1)(2019), 41{52 n n d o i i t t a s n A ISSN: 2347-1557 r e p t p n l I i c • Available Online: http://ijmaa.in/ a t 7 i o 5 n 5 • s 1 - 7 4 I 3 S 2 S : N International Journal of Mathematics And its Applications Lebegue-Bochner Spaces and Evolution Triples Jula Kabeto Bunkure1,∗ 1 Department Mathematics, Ethiopian institute of Textile and Fashion Technology(EiEX), Bahir Dar University, Ethiopia. Abstract: The functional-analytic approach to the solution of partial differential equations requires knowledge of the properties of spaces of functions of one or several real variables. A large class of infinite dimensional dynamical systems (evolution systems) can be modeled as an abstract differential equation defined on a suitable Banach space or on a suitable manifold therein. The advantage of such an abstract formulation lies not only on its generality but also in the insight that can be gained about the many common unifying properties that tie together apparently diverse problems. It is clear that such a study relies on the knowledge of various spaces of vector valued functions (i.e., of Banach space valued functions). For this reason some facts about vector valued functions is introduced. We introduce the various notions of measurability for such functions and then based on them we define the different integrals corresponding to them. A function f :Ω ! X is strongly measurable if and only if it is the uniform limit almost everywhere of a sequence of countable-valued, Σ-measurable functions.
    [Show full text]