THE GEOMETRY of FREDHOLM PAIRS and LINEAR CONJUGATION PROBLEMS Abstract
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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. -
Von Neumann Equivalence and Properly Proximal Groups 3
VON NEUMANN EQUIVALENCE AND PROPERLY PROXIMAL GROUPS ISHAN ISHAN, JESSE PETERSON, AND LAUREN RUTH Abstract. We introduce a new equivalence relation on groups, which we call von Neu- ∗ mann equivalence, that is coarser than both measure equivalence and W -equivalence. We introduce a general procedure for inducing actions in this setting and use this to show that many analytic properties, such as amenability, property (T), and the Haagerup property, are preserved under von Neumann equivalence. We also show that proper proximality, which was defined recently in [BIP18] using dynamics, is also preserved under von Neu- mann equivalence. In particular, proper proximality is preserved under both measure ∗ equivalence and W -equivalence, and from this we obtain examples of non-inner amenable groups that are not properly proximal. 1. Introduction Two countable groups Γ and Λ are measure equivalent if they have commuting measure- preserving actions on a σ-finite measure space (Ω,m) such that the actions of Γ and Λ individually admit a finite-measure fundamental domain. This notion was introduced by Gromov in [Gro93, 0.5.E] as an analogy to the topological notion of being quasi-isometric for finitely generated groups. The basic example of measure equivalent groups is when Γ and Λ are lattices in the same locally compact group G. In this case, Γ and Λ act on the left and right of G respectively, and these actions preserve the Haar measure on G. For certain classes of groups, measure equivalence can be quite a course equivalence relation. For instance, the class of countable amenable groups splits into two measure equivalence classes, those that are finite, and those that are countably infinite [Dye59, Dye63, OW80]. -
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. -
“Spectral Picture” of a Bounded Operator on a Banach Space
On spectral pictures Robin Harte Abstract The \spectral picture" of a bounded operator on a Banach space consists of its essential spectrum together with a mapping from its holes to the group of integers, obtained by taking the Fredholm index. In this note we abstract this from the Calkin algebra to a general Banach algebra, replacing the integers with the quotient of the group of invertibles by its connected component of the identity. 1 By a spectrum K we shall understand, in the first instance, a nonempty compact subset K C of the complex plane: this works because every compact set is the spectrum of something. If K C is a⊆ spectrum then so is its topological boundary @K and so is its connected hull ⊆ 0:1 ηK = K H : H Hole(K) ; [ [f 2 g where [4],[8] we write Hole(K) for the (possibly empty) set of bounded components of the complement of K in C: thus C ηK is the unique unbounded component of C K. n n 1. Definition By a \spectral picture" we shall understand an ordered pair (K; ν) in which K is a spectrum and ν is a mapping from Hole(K) to the integers Z. If K C is a spectrum and if f : U C is a continuous mapping whose domain U C includes K then it is clear⊆ that f(K) is again a spectrum,! where of course ⊆ 1:1 f(K) = f(λ): λ K : f 2 g We shall pay particular attention to functions 1:2 f Holo(ηK); 2 for which U ηK is open in C and on which f is holomorphic. -
Class Notes, Functional Analysis 7212
Class notes, Functional Analysis 7212 Ovidiu Costin Contents 1 Banach Algebras 2 1.1 The exponential map.....................................5 1.2 The index group of B = C(X) ...............................6 1.2.1 p1(X) .........................................7 1.3 Multiplicative functionals..................................7 1.3.1 Multiplicative functionals on C(X) .........................8 1.4 Spectrum of an element relative to a Banach algebra.................. 10 1.5 Examples............................................ 19 1.5.1 Trigonometric polynomials............................. 19 1.6 The Shilov boundary theorem................................ 21 1.7 Further examples....................................... 21 1.7.1 The convolution algebra `1(Z) ........................... 21 1.7.2 The return of Real Analysis: the case of L¥ ................... 23 2 Bounded operators on Hilbert spaces 24 2.1 Adjoints............................................ 24 2.2 Example: a space of “diagonal” operators......................... 30 2.3 The shift operator on `2(Z) ................................. 32 2.3.1 Example: the shift operators on H = `2(N) ................... 38 3 W∗-algebras and measurable functional calculus 41 3.1 The strong and weak topologies of operators....................... 42 4 Spectral theorems 46 4.1 Integration of normal operators............................... 51 4.2 Spectral projections...................................... 51 5 Bounded and unbounded operators 54 5.1 Operations.......................................... -
The KO-Valued Spectral Flow for Skew-Adjoint Fredholm Operators
THE KO–VALUED SPECTRAL FLOW FOR SKEW-ADJOINT FREDHOLM OPERATORS CHRIS BOURNE, ALAN L. CAREY, MATTHIAS LESCH, AND ADAM RENNIE This article is dedicated to Krzysztof Wojciechowski, our friend and colleague whom we have missed for over a decade. His interest and contributions to index theory and geometry have been a constant source of inspiration. Abstract. In this article we give a comprehensive treatment of a ‘Clifford mod- ule flow’ along paths in the skew-adjoint Fredholm operators on a real Hilbert space that takes values in KO∗(R) via the Clifford index of Atiyah–Bott–Shapiro. We develop its properties for both bounded and unbounded skew-adjoint oper- ators including an axiomatic characterization. Our constructions and approach are motivated by the principle that spectral flow = Fredholm index. That is, we show how the KO–valued spectral flow relates to a KO–valued index by proving a Robbin–Salamon type result. The Kasparov product is also used to establish a spectral flow = Fredholm index result at the level of bivariant K- theory. We explain how our results incorporate previous applications of Z/2Z– valued spectral flow in the study of topological phases of matter. Contents Introduction 2 1. Motivation from physical theory 4 2. Clifford algebras and the ABS construction 6 3. Some useful homotopies and the Cayley transform 15 4. Fredholm pairs and the Clifford index 18 5. The KO–valued spectral flow 25 6. Extension to unbounded operators 30 7. Uniqueness of the KO–valued spectral flow 35 arXiv:1907.04981v2 [math.KT] 6 Apr 2020 Date: 2020-03-31. -
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. -
Fredholm Operators and Atkinson's Theorem
1 A One Lecture Introduction to Fredholm Operators Craig Sinnamon 250380771 December, 2009 1. Introduction This is an elementary introdution to Fredholm operators on a Hilbert space H. Fredholm operators are named after a Swedish mathematician, Ivar Fredholm(1866-1927), who studied integral equations. We will introduce two definitions of a Fredholm operator and prove their equivalance. We will also discuss briefly the index map defined on the set of Fredholm operators. Note that results proved in 4154A Functional Analysis by Prof. Khalkhali may be used without proof. Definition 1.1: A bounded, linear operator T : H ! H is said to be Fredholm if 1) rangeT ⊆ H is closed 2) dimkerT < 1 3) dimketT ∗ < 1 Notice that for a bounded linear operator T on a Hilbert space H, kerT ∗ = (ImageT )?. Indeed: x 2 kerT ∗ , T ∗x = 0 ,< T ∗x; y >= 0 for all y 2 H ,< x:T y >= 0 , x 2 (ImageT )? A good way to think about these Fredholm operators is as operators that are "almost invertible". This notion of "almost invertible" will be made pre- cise later. For now, notice that that operator is almost injective as it has only a finite dimensional kernal, and almost surjective as kerT ∗ = (ImageT )? is also finite dimensional. We will now introduce some algebraic structure on the set of all bounded linear functionals, L(H) and from here make the above discussion precise. 2 2. Bounded Linear Operators as a Banach Algebra Definition 2.1:A C algebra is a ring A with identity along with a ring homomorphism f : C ! A such that 1 7! 1A and f(C) ⊆ Z(A). -
Approximation of Hilbert Space Operators
BOOK REVIEWS BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 15, Number 1, July 1986 ©1986 American Mathematical Society 0273-0979/86 $1.00 + $.25 per page Approximation of Hubert space operators, Volume I, by Domingo Herrero, Pitman Publishing Inc., Boston, 1982, xiii + 255 pp., $23.95. ISBN 0-273- 08579-4 Approximation of Hubert space operators, Volume II, by Constantin Apostol, Lawrence Fialkow, Domingo Herrero and Dan Voiculescu, Pitman Publish ing Inc., Boston, 1984, x + 524 pp., $29.95. ISBN 0-273-08641-3 1. Introduction. The theme of the books under review is approximation', that is, how well do simple models of operators approximate larger, less understood classes? This usually means approximation in the operator norm, but it may well ask for more. For example, one might ask that the error of estimation be compact. As the set of compact operators is the only proper, closed, two-sided ideal in the algebra 38(3^) of bounded operators on a separable Hubert space 3tf, this is a natural constraint. The study of bounded operators on Hilbert space has often been motivated by linear algebra. There is a popular, but naive, notion that finite dimensions are well understood. Operator theorists are keen to find the infinite-dimen sional analogues of the finite-dimensional results. But they obtain even more pleasure when they find out why such analogues cannot hold. Halmos, in his role as the master popularizer of this subject, has asked many questions about approximation of operators. In particular, his famous Ten problems in Hilbert space [Ha2] has provoked some of the most important work in this area. -
A → B Between Banach Spaces Is a Fredholm Operator If Ker L and Coker L Are finite Dimensional
LECTURE 6. PART III, MORSE HOMOLOGY, 2011 HTTP://MORSEHOMOLOGY.WIKISPACES.COM 2.3. Fredholm theory. Def. A bounded linear map L : A → B between Banach spaces is a Fredholm operator if ker L and coker L are finite dimensional. Def. A map f : M → N between Banach mfds is a Fredholm map if dpf : TpM → Tf(p)N is a Fredholm operator. Basic Facts about Fredholm operators (1) K = ker L has a closed complement A0 ⊂ A. (so the implicit function theorem applies to Fredholm maps). 1 ∗ ∗ ∗ ∗ Pf. pick basis v1,...,vk of K, pick dual v1 ,...,vk ∈ A . A0 = ∩ ker vi . (2) im(L)= image(L) ⊂ B is closed. (so coker L = B/im(L) is Banach) Pf. pick complement C to im(L). C is finite dim’l, so closed, so Banach. ⇒ L : A/K ⊕ C → B,L(a,c)= La + c is a bounded linear bijection, hence an iso (open mapping theorem). So L(A/K) = Im(L) is closed. (3) A = A0 ⊕K, B = B0 ⊕C where B0 = im(L), C = complement (=∼ coker L). iso 0 ⇒ L = 0 0 : A0 ⊕ K → B0 ⊕ C Def. index(L) = dim ker L − dim coker L. (4) Perturbing L preserves the Fredholm condition and the index: Claim.2 s : A → B bdd linear with small norm ⇒ ∃ “change of basis” isos i : A ∼ B ⊕ K = 0 such that j ◦ (L + s) ◦ i = I 0 j : B =∼ B0 ⊕ C 0 ℓ for some linear map ℓ : K → C. Note: dim ker drops by rank(ℓ), but also dim coker drops by rank(ℓ). -
Fredholm Operators and the Generalized Index
FREDHOLM OPERATORS AND THE GENERALIZED INDEX JOSEPH BREEN CONTENTS 1. Introduction 1 1.1. Index Theory in Finite Dimensions 2 2. The Space of Fredholm Operators 3 3. Vector Bundles and K-Theory 6 3.1. Vector Bundles 6 3.2. K-Theory 8 4. The Atiyah-Janich¨ Theorem 9 4.1. The Generalized Index Map 10 5. Index Theory Examples 12 5.1. Toeplitz Operators and the Toeplitz Index Theorem 12 5.2. The Atiyah-Singer Index Theorem 14 6. Conclusion 16 References 17 1. INTRODUCTION One of the most fundamental problems in mathematics is to solve linear equations of the form T f = g, where T is a linear transformation, g is known, and f is some unknown quantity. The simplest example of this comes from elementary linear algebra, which deals with solutions to matrix-vector equations of the form Ax = b. More generally, if V; W are vector spaces (or, in particular, Hilbert or Banach spaces), we might be interested in solving equations of the form T v = w where v 2 V , w 2 W , and T is a linear map from V ! W . A more explicit source of examples is that of differential equations. For instance, one can seek solutions to a system of differential equations of the form Ax(t) = x0(t), where, again, A is a matrix. From physics, we get important partial differential equations such as Poisson’s equation: ∆f = g, Pn @2 n where ∆ = i=1 2 and f and g are functions on R . In general, we can take certain partial @xi differential equations and repackage them in the form Df = g for some suitable differential operator D between Banach spaces.