Fredholm Operators and the Generalized Index
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The Index of Normal Fredholm Elements of C* -Algebras
proceedings of the american mathematical society Volume 113, Number 1, September 1991 THE INDEX OF NORMAL FREDHOLM ELEMENTS OF C*-ALGEBRAS J. A. MINGO AND J. S. SPIELBERG (Communicated by Palle E. T. Jorgensen) Abstract. Examples are given of normal elements of C*-algebras that are invertible modulo an ideal and have nonzero index, in contrast to the case of Fredholm operators on Hubert space. It is shown that this phenomenon occurs only along the lines of these examples. Let T be a bounded operator on a Hubert space. If the range of T is closed and both T and T* have a finite dimensional kernel then T is Fredholm, and the index of T is dim(kerT) - dim(kerT*). If T is normal then kerT = ker T*, so a normal Fredholm operator has index 0. Let us consider a generalization of the notion of Fredholm operator intro- duced by Atiyah. Let X be a compact Hausdorff space and consider continuous functions T: X —>B(H), where B(H) is the set of bounded linear operators on a separable infinite dimensional Hubert space with the norm topology. The set of such functions forms a C*- algebra C(X) <g>B(H). A function T is Fredholm if T(x) is Fredholm for each x . Atiyah [1, Appendix] showed how such an element has an index which is an element of K°(X). Suppose that T is Fredholm and T(x) is normal for each x. Is the index of T necessarily 0? There is a generalization of this question that we would like to consider. -
Functional Analysis Lecture Notes Chapter 2. Operators on Hilbert Spaces
FUNCTIONAL ANALYSIS LECTURE NOTES CHAPTER 2. OPERATORS ON HILBERT SPACES CHRISTOPHER HEIL 1. Elementary Properties and Examples First recall the basic definitions regarding operators. Definition 1.1 (Continuous and Bounded Operators). Let X, Y be normed linear spaces, and let L: X Y be a linear operator. ! (a) L is continuous at a point f X if f f in X implies Lf Lf in Y . 2 n ! n ! (b) L is continuous if it is continuous at every point, i.e., if fn f in X implies Lfn Lf in Y for every f. ! ! (c) L is bounded if there exists a finite K 0 such that ≥ f X; Lf K f : 8 2 k k ≤ k k Note that Lf is the norm of Lf in Y , while f is the norm of f in X. k k k k (d) The operator norm of L is L = sup Lf : k k kfk=1 k k (e) We let (X; Y ) denote the set of all bounded linear operators mapping X into Y , i.e., B (X; Y ) = L: X Y : L is bounded and linear : B f ! g If X = Y = X then we write (X) = (X; X). B B (f) If Y = F then we say that L is a functional. The set of all bounded linear functionals on X is the dual space of X, and is denoted X0 = (X; F) = L: X F : L is bounded and linear : B f ! g We saw in Chapter 1 that, for a linear operator, boundedness and continuity are equivalent. -
18.102 Introduction to Functional Analysis Spring 2009
MIT OpenCourseWare http://ocw.mit.edu 18.102 Introduction to Functional Analysis Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 108 LECTURE NOTES FOR 18.102, SPRING 2009 Lecture 19. Thursday, April 16 I am heading towards the spectral theory of self-adjoint compact operators. This is rather similar to the spectral theory of self-adjoint matrices and has many useful applications. There is a very effective spectral theory of general bounded but self- adjoint operators but I do not expect to have time to do this. There is also a pretty satisfactory spectral theory of non-selfadjoint compact operators, which it is more likely I will get to. There is no satisfactory spectral theory for general non-compact and non-self-adjoint operators as you can easily see from examples (such as the shift operator). In some sense compact operators are ‘small’ and rather like finite rank operators. If you accept this, then you will want to say that an operator such as (19.1) Id −K; K 2 K(H) is ‘big’. We are quite interested in this operator because of spectral theory. To say that λ 2 C is an eigenvalue of K is to say that there is a non-trivial solution of (19.2) Ku − λu = 0 where non-trivial means other than than the solution u = 0 which always exists. If λ =6 0 we can divide by λ and we are looking for solutions of −1 (19.3) (Id −λ K)u = 0 −1 which is just (19.1) for another compact operator, namely λ K: What are properties of Id −K which migh show it to be ‘big? Here are three: Proposition 26. -
5 Toeplitz Operators
2008.10.07.08 5 Toeplitz Operators There are two signal spaces which will be important for us. • Semi-infinite signals: Functions x ∈ ℓ2(Z+, R). They have a Fourier transform g = F x, where g ∈ H2; that is, g : D → C is analytic on the open unit disk, so it has no poles there. • Bi-infinite signals: Functions x ∈ ℓ2(Z, R). They have a Fourier transform g = F x, where g ∈ L2(T). Then g : T → C, and g may have poles both inside and outside the disk. 5.1 Causality and Time-invariance Suppose G is a bounded linear map G : ℓ2(Z) → ℓ2(Z) given by yi = Gijuj j∈Z X where Gij are the coefficients in its matrix representation. The map G is called time- invariant or shift-invariant if it is Toeplitz , which means Gi−1,j = Gi,j+1 that is G is constant along diagonals from top-left to bottom right. Such matrices are convolution operators, because they have the form ... a0 a−1 a−2 a1 a0 a−1 a−2 G = a2 a1 a0 a−1 a2 a1 a0 ... Here the box indicates the 0, 0 element, since the matrix is indexed from −∞ to ∞. With this matrix, we have y = Gu if and only if yi = ai−juj k∈Z X We say G is causal if the matrix G is lower triangular. For example, the matrix ... a0 a1 a0 G = a2 a1 a0 a3 a2 a1 a0 ... 1 5 Toeplitz Operators 2008.10.07.08 is both causal and time-invariant. -
L∞ , Let T : L ∞ → L∞ Be Defined by Tx = ( X(1), X(2) 2 , X(3) 3 ,... ) Pr
ASSIGNMENT II MTL 411 FUNCTIONAL ANALYSIS 1. For x = (x(1); x(2);::: ) 2 l1, let T : l1 ! l1 be defined by ( ) x(2) x(3) T x = x(1); ; ;::: 2 3 Prove that (i) T is a bounded linear operator (ii) T is injective (iii) Range of T is not a closed subspace of l1. 2. If T : X ! Y is a linear operator such that there exists c > 0 and 0 =6 x0 2 X satisfying kT xk ≤ ckxk 8 x 2 X; kT x0k = ckx0k; then show that T 2 B(X; Y ) and kT k = c. 3. For x = (x(1); x(2);::: ) 2 l2, consider the right shift operator S : l2 ! l2 defined by Sx = (0; x(1); x(2);::: ) and the left shift operator T : l2 ! l2 defined by T x = (x(2); x(3);::: ) Prove that (i) S is a abounded linear operator and kSk = 1. (ii) S is injective. (iii) S is, in fact, an isometry. (iv) S is not surjective. (v) T is a bounded linear operator and kT k = 1 (vi) T is not injective. (vii) T is not an isometry. (viii) T is surjective. (ix) TS = I and ST =6 I. That is, neither S nor T is invertible, however, S has a left inverse and T has a right inverse. Note that item (ix) illustrates the fact that the Banach algebra B(X) is not in general commutative. 4. Show with an example that for T 2 B(X; Y ) and S 2 B(Y; Z), the equality in the submulti- plicativity of the norms kS ◦ T k ≤ kSkkT k may not hold. -
Operators, Functions, and Systems: an Easy Reading
http://dx.doi.org/10.1090/surv/092 Selected Titles in This Series 92 Nikolai K. Nikolski, Operators, functions, and systems: An easy reading. Volume 1: Hardy, Hankel, and Toeplitz, 2002 91 Richard Montgomery, A tour of subriemannian geometries, their geodesies and applications, 2002 90 Christian Gerard and Izabella Laba, Multiparticle quantum scattering in constant magnetic fields, 2002 89 Michel Ledoux, The concentration of measure phenomenon, 2001 88 Edward Frenkel and David Ben-Zvi, Vertex algebras and algebraic curves, 2001 87 Bruno Poizat, Stable groups, 2001 86 Stanley N. Burris, Number theoretic density and logical limit laws, 2001 85 V. A. Kozlov, V. G. Maz'ya, and J. Rossmann, Spectral problems associated with corner singularities of solutions to elliptic equations, 2001 84 Laszlo Fuchs and Luigi Salce, Modules over non-Noetherian domains, 2001 83 Sigurdur Helgason, Groups and geometric analysis: Integral geometry, invariant differential operators, and spherical functions, 2000 82 Goro Shimura, Arithmeticity in the theory of automorphic forms, 2000 81 Michael E. Taylor, Tools for PDE: Pseudodifferential operators, paradifferential operators, and layer potentials, 2000 80 Lindsay N. Childs, Taming wild extensions: Hopf algebras and local Galois module theory, 2000 79 Joseph A. Cima and William T. Ross, The backward shift on the Hardy space, 2000 78 Boris A. Kupershmidt, KP or mKP: Noncommutative mathematics of Lagrangian, Hamiltonian, and integrable systems, 2000 77 Fumio Hiai and Denes Petz, The semicircle law, free random variables and entropy, 2000 76 Frederick P. Gardiner and Nikola Lakic, Quasiconformal Teichmiiller theory, 2000 75 Greg Hjorth, Classification and orbit equivalence relations, 2000 74 Daniel W. -
Basic Theory of Fredholm Operators Annali Della Scuola Normale Superiore Di Pisa, Classe Di Scienze 3E Série, Tome 21, No 2 (1967), P
ANNALI DELLA SCUOLA NORMALE SUPERIORE DI PISA Classe di Scienze MARTIN SCHECHTER Basic theory of Fredholm operators Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 3e série, tome 21, no 2 (1967), p. 261-280 <http://www.numdam.org/item?id=ASNSP_1967_3_21_2_261_0> © Scuola Normale Superiore, Pisa, 1967, tous droits réservés. L’accès aux archives de la revue « Annali della Scuola Normale Superiore di Pisa, Classe di Scienze » (http://www.sns.it/it/edizioni/riviste/annaliscienze/) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisa- tion commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ BASIC THEORY OF FREDHOLM OPERATORS (*) MARTIN SOHECHTER 1. Introduction. " A linear operator A from a Banach space X to a Banach space Y is called a Fredholm operator if 1. A is closed 2. the domain D (A) of A is dense in X 3. a (A), the dimension of the null space N (A) of A, is finite 4. .R (A), the range of A, is closed in Y 5. ~ (A), the codimension of R (A) in Y, is finite. The terminology stems from the classical Fredholm theory of integral equations. Special types of Fredholm operators were considered by many authors since that time, but systematic treatments were not given until the work of Atkinson [1]~ Gohberg [2, 3, 4] and Yood [5]. These papers conside- red bounded operators. -
Periodic and Almost Periodic Time Scales
Nonauton. Dyn. Syst. 2016; 3:24–41 Research Article Open Access Chao Wang, Ravi P. Agarwal, and Donal O’Regan Periodicity, almost periodicity for time scales and related functions DOI 10.1515/msds-2016-0003 Received December 9, 2015; accepted May 4, 2016 Abstract: In this paper, we study almost periodic and changing-periodic time scales considered by Wang and Agarwal in 2015. Some improvements of almost periodic time scales are made. Furthermore, we introduce a new concept of periodic time scales in which the invariance for a time scale is dependent on an translation direction. Also some new results on periodic and changing-periodic time scales are presented. Keywords: Time scales, Almost periodic time scales, Changing periodic time scales MSC: 26E70, 43A60, 34N05. 1 Introduction Recently, many papers were devoted to almost periodic issues on time scales (see for examples [1–5]). In 2014, to study the approximation property of time scales, Wang and Agarwal introduced some new concepts of almost periodic time scales in [6] and the results show that this type of time scales can not only unify the continuous and discrete situations but can also strictly include the concept of periodic time scales. In 2015, some open problems related to this topic were proposed by the authors (see [4]). Wang and Agarwal addressed the concept of changing-periodic time scales in 2015. This type of time scales can contribute to decomposing an arbitrary time scales with bounded graininess function µ into a countable union of periodic time scales i.e, Decomposition Theorem of Time Scales. The concept of periodic time scales which appeared in [7, 8] can be quite limited for the simple reason that it requires inf T = −∞ and sup T = +∞. -
Functional Analysis (WS 19/20), Problem Set 8 (Spectrum And
Functional Analysis (WS 19/20), Problem Set 8 (spectrum and adjoints on Hilbert spaces)1 In what follows, let H be a complex Hilbert space. Let T : H ! H be a bounded linear operator. We write T ∗ : H ! H for adjoint of T dened with hT x; yi = hx; T ∗yi: This operator exists and is uniquely determined by Riesz Representation Theorem. Spectrum of T is the set σ(T ) = fλ 2 C : T − λI does not have a bounded inverseg. Resolvent of T is the set ρ(T ) = C n σ(T ). Basic facts on adjoint operators R1. | Adjoint T ∗ exists and is uniquely determined. R2. | Adjoint T ∗ is a bounded linear operator and kT ∗k = kT k. Moreover, kT ∗T k = kT k2. R3. | Taking adjoints is an involution: (T ∗)∗ = T . R4. Adjoints commute with the sum: ∗ ∗ ∗. | (T1 + T2) = T1 + T2 ∗ ∗ R5. | For λ 2 C we have (λT ) = λ T . R6. | Let T be a bounded invertible operator. Then, (T ∗)−1 = (T −1)∗. R7. Let be bounded operators. Then, ∗ ∗ ∗. | T1;T2 (T1 T2) = T2 T1 R8. | We have relationship between kernel and image of T and T ∗: ker T ∗ = (im T )?; (ker T ∗)? = im T It will be helpful to prove that if M ⊂ H is a linear subspace, then M = M ??. Btw, this covers all previous results like if N is a nite dimensional linear subspace then N = N ?? (because N is closed). Computation of adjoints n n ∗ M1. ,Let A : R ! R be a complex matrix. Find A . 2 M2. | ,Let H = l (Z). For x = (:::; x−2; x−1; x0; x1; x2; :::) 2 H we dene the right shift operator −1 ∗ with (Rx)k = xk−1: Find kRk, R and R . -
Notex on Fredholm (And Compact) Operators
Notex on Fredholm (and compact) operators October 5, 2009 Abstract In these separate notes, we give an exposition on Fredholm operators between Banach spaces. In particular, we prove the theorems stated in the last section of the first lecture 1. Contents 1 Fredholm operators: basic properties 2 2 Compact operators: basic properties 3 3 Compact operators: the Fredholm alternative 4 4 The relation between Fredholm and compact operators 7 1emphasize that some of the extra-material is just for your curiosity and is not needed for the promised proofs. It is a good exercise for you to cross out the parts which are not needed 1 1 Fredholm operators: basic properties Let E and F be two Banach spaces. We denote by L(E, F) the space of bounded linear operators from E to F. Definition 1.1 A bounded operator T : E −→ F is called Fredholm if Ker(A) and Coker(A) are finite dimensional. We denote by F(E, F) the space of all Fredholm operators from E to F. The index of a Fredholm operator A is defined by Index(A) := dim(Ker(A)) − dim(Coker(A)). Note that a consequence of the Fredholmness is the fact that R(A) = Im(A) is closed. Here are the first properties of Fredholm operators. Theorem 1.2 Let E, F, G be Banach spaces. (i) If B : E −→ F and A : F −→ G are bounded, and two out of the three operators A, B and AB are Fredholm, then so is the third, and Index(A ◦ B) = Index(A) + Index(B). -
Fredholm Operators and Spectral Flow, Canad
Fredholm Operators and Spectral Flow Nils Waterstraat arXiv:1603.02009v1 [math.FA] 7 Mar 2016 2 Contents 1 Linear Operators 7 1.1 BoundedOperatorsandSubspaces . ...... 7 1.2 ClosedOperators................................. ... 10 1.3 SpectralTheory.................................. ... 15 2 Selfadjoint Operators 21 2.1 DefinitionsandBasicProperties . ....... 21 2.2 Spectral Theoryof Selfadjoint Operators . ........... 26 3 The Gap Topology 29 3.1 DefinitionandProperties . ..... 29 3.2 StabilityofSpectra.............................. ..... 34 3.3 Spaces ofSelfadjoint FredholmOperators . .......... 36 4 The Spectral Flow 39 4.1 DefinitionoftheSpectralFlow . ...... 39 4.2 PropertiesandUniqueness. ...... 42 4.3 CrossingForms ................................... .. 46 5 A Simple Example and a Glimpse at the Literature 49 5.1 ASimpleExample .................................. 49 5.2 AGlimpseattheLiterature. ..... 51 3 4 CONTENTS Introduction Fredholm operators are one of the most important classes of linear operators in mathematics. They were introduced around 1900 in the study of integral operators and by definition they share many properties with linear operators between finite dimensional spaces. They appear naturally in global analysis which is a branch of pure mathematics concerned with the global and topological properties of systems of differential equations on manifolds. One of the basic important facts says that every linear elliptic differential operator acting on sections of a vector bundle over a closed manifold induces a Fredholm operator on a suitable Banach space comple- tion of bundle sections. Every Fredholm operator has an integer-valued index, which is invariant under deformations of the operator, and the most fundamental theorem in global analysis is the Atiyah-Singer index theorem [AS68] which gives an explicit formula for the Fredholm index of an elliptic operator on a closed manifold in terms of topological data. -
Bounded Operators
(April 3, 2019) 09a. Operators on Hilbert spaces Paul Garrett [email protected] http:=/www.math.umn.edu/egarrett/ [This document is http:=/www.math.umn.edu/egarrett/m/real/notes 2018-19/09a-ops on Hsp.pdf] 1. Boundedness, continuity, operator norms 2. Adjoints 3. Stable subspaces and complements 4. Spectrum, eigenvalues 5. Generalities on spectra 6. Positive examples 7. Cautionary examples 8. Weyl's criterion for continuous spectrum 1. Boundedness, continuity, operator norms A linear (not necessarily continuous) map T : X ! Y from one Hilbert space to another is bounded if, for all " > 0, there is δ > 0 such that jT xjY < " for all x 2 X with jxjX < δ. [1.1] Proposition: For a linear, not necessarily continuous, map T : X ! Y of Hilbert spaces, the following three conditions are equivalent: (i) T is continuous (ii) T is continuous at 0 (iii) T is bounded 0 Proof: For T continuous as 0, given " > 0 and x 2 X, there is small enough δ > 0 such that jT x − 0jY < " 0 00 for jx − 0jX < δ. For jx − xjX < δ, using the linearity, 00 00 jT x − T xjX = jT (x − x) − 0jX < δ That is, continuity at 0 implies continuity. Since jxj = jx − 0j, continuity at 0 is immediately equivalent to boundedness. === [1.2] Definition: The kernel ker T of a linear (not necessarily continuous) linear map T : X ! Y from one Hilbert space to another is ker T = fx 2 X : T x = 0 2 Y g [1.3] Proposition: The kernel of a continuous linear map T : X ! Y is closed.