SPECTRAL THEOREM for SYMMETRIC OPERATORS with COMPACT RESOLVENT 1. Compact Operators Let X, Y Be Banach Spaces. a Linear Operato
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On Quasi Norm Attaining Operators Between Banach Spaces
ON QUASI NORM ATTAINING OPERATORS BETWEEN BANACH SPACES GEUNSU CHOI, YUN SUNG CHOI, MINGU JUNG, AND MIGUEL MART´IN Abstract. We provide a characterization of the Radon-Nikod´ymproperty in terms of the denseness of bounded linear operators which attain their norm in a weak sense, which complement the one given by Bourgain and Huff in the 1970's. To this end, we introduce the following notion: an operator T : X ÝÑ Y between the Banach spaces X and Y is quasi norm attaining if there is a sequence pxnq of norm one elements in X such that pT xnq converges to some u P Y with }u}“}T }. Norm attaining operators in the usual (or strong) sense (i.e. operators for which there is a point in the unit ball where the norm of its image equals the norm of the operator) and also compact operators satisfy this definition. We prove that strong Radon-Nikod´ymoperators can be approximated by quasi norm attaining operators, a result which does not hold for norm attaining operators in the strong sense. This shows that this new notion of quasi norm attainment allows to characterize the Radon-Nikod´ymproperty in terms of denseness of quasi norm attaining operators for both domain and range spaces, completing thus a characterization by Bourgain and Huff in terms of norm attaining operators which is only valid for domain spaces and it is actually false for range spaces (due to a celebrated example by Gowers of 1990). A number of other related results are also included in the paper: we give some positive results on the denseness of norm attaining Lipschitz maps, norm attaining multilinear maps and norm attaining polynomials, characterize both finite dimensionality and reflexivity in terms of quasi norm attaining operators, discuss conditions to obtain that quasi norm attaining operators are actually norm attaining, study the relationship with the norm attainment of the adjoint operator and, finally, present some stability results. -
Compact Operators on Hilbert Spaces S
INTERNATIONAL JOURNAL OF MATHEMATICS AND SCIENTIFIC COMPUTING (ISSN: 2231-5330), VOL. 4, NO. 2, 2014 101 Compact Operators on Hilbert Spaces S. Nozari Abstract—In this paper, we obtain some results on compact Proof: Let T is invertible. It is well-known and easy to operators. In particular, we prove that if T is an unitary operator show that the composition of two operator which at least one on a Hilbert space H, then it is compact if and only if H has T of them be compact is also compact ([4], Th. 11.5). Therefore finite dimension. As the main theorem we prove that if be TT −1 I a hypercyclic operator on a Hilbert space, then T n (n ∈ N) is = is compact which contradicts to Lemma I.3. noncompact. Corollary II.2. If T is an invertible operator on an infinite Index Terms—Compact operator, Linear Projections, Heine- dimensional Hilbert space, then it is not compact. Borel Property. Corollary II.3. Let T be a bounded operator with finite rank MSC 2010 Codes – 46B50 on an infinite-dimensional Hilbert space H. Then T is not invertible. I. INTRODUCTION Proof: By Theorem I.4, T is compact. Now the proof is Surely, the operator theory is the heart of functional analy- completed by Theorem II.1. sis. This means that if one wish to work on functional analysis, P H he/she must study the operator theory. In operator theory, Corollary II.4. Let be a linear projection on with finite we study operators and connection between it with other rank. -
1 Bounded and Unbounded Operators
1 1 Bounded and unbounded operators 1. Let X, Y be Banach spaces and D 2 X a linear space, not necessarily closed. 2. A linear operator is any linear map T : D ! Y . 3. D is the domain of T , sometimes written Dom (T ), or D (T ). 4. T (D) is the Range of T , Ran(T ). 5. The graph of T is Γ(T ) = f(x; T x)jx 2 D (T )g 6. The kernel of T is Ker(T ) = fx 2 D (T ): T x = 0g 1.1 Operations 1. aT1 + bT2 is defined on D (T1) \D (T2). 2. if T1 : D (T1) ⊂ X ! Y and T2 : D (T2) ⊂ Y ! Z then T2T1 : fx 2 D (T1): T1(x) 2 D (T2). In particular, inductively, D (T n) = fx 2 D (T n−1): T (x) 2 D (T )g. The domain may become trivial. 3. Inverse. The inverse is defined if Ker(T ) = f0g. This implies T is bijective. Then T −1 : Ran(T ) !D (T ) is defined as the usual function inverse, and is clearly linear. @ is not invertible on C1[0; 1]: Ker@ = C. 4. Closable operators. It is natural to extend functions by continuity, when possible. If xn ! x and T xn ! y we want to see whether we can define T x = y. Clearly, we must have xn ! 0 and T xn ! y ) y = 0; (1) since T (0) = 0 = y. Conversely, (1) implies the extension T x := y when- ever xn ! x and T xn ! y is consistent and defines a linear operator. -
An Image Problem for Compact Operators 1393
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 134, Number 5, Pages 1391–1396 S 0002-9939(05)08084-6 Article electronically published on October 7, 2005 AN IMAGE PROBLEM FOR COMPACT OPERATORS ISABELLE CHALENDAR AND JONATHAN R. PARTINGTON (Communicated by Joseph A. Ball) Abstract. Let X be a separable Banach space and (Xn)n a sequence of closed subspaces of X satisfying Xn ⊂Xn+1 for all n. We first prove the existence of a dense-range and injective compact operator K such that each KXn is a dense subset of Xn, solving a problem of Yahaghi (2004). Our second main result concerns isomorphic and dense-range injective compact mappings be- tween dense sets of linearly independent vectors, extending a result of Grivaux (2003). 1. Introduction Let X be an infinite-dimensional separable real or complex Banach space and denote by L(X ) the algebra of all bounded and linear mappings from X to X .A chain of subspaces of X is defined to be a sequence (at most countable) (Xn)n≥0 of closed subspaces of X such that X0 = {0} and Xn ⊂Xn+1 for all n ≥ 0. The identity map on X is denoted by Id. Section 2 of this paper is devoted to the construction of injective and dense- range compact operators K ∈L(X ) such that KXn is a dense subset of Xn for all n. Note that for separable Hilbert spaces, using an orthonormal basis B and diagonal compact operators relative to B, it is not difficult to construct injective, dense-range and normal compact operators such that each KXn is a dense subset of Xn. -
On the Origin and Early History of Functional Analysis
U.U.D.M. Project Report 2008:1 On the origin and early history of functional analysis Jens Lindström Examensarbete i matematik, 30 hp Handledare och examinator: Sten Kaijser Januari 2008 Department of Mathematics Uppsala University Abstract In this report we will study the origins and history of functional analysis up until 1918. We begin by studying ordinary and partial differential equations in the 18th and 19th century to see why there was a need to develop the concepts of functions and limits. We will see how a general theory of infinite systems of equations and determinants by Helge von Koch were used in Ivar Fredholm’s 1900 paper on the integral equation b Z ϕ(s) = f(s) + λ K(s, t)f(t)dt (1) a which resulted in a vast study of integral equations. One of the most enthusiastic followers of Fredholm and integral equation theory was David Hilbert, and we will see how he further developed the theory of integral equations and spectral theory. The concept introduced by Fredholm to study sets of transformations, or operators, made Maurice Fr´echet realize that the focus should be shifted from particular objects to sets of objects and the algebraic properties of these sets. This led him to introduce abstract spaces and we will see how he introduced the axioms that defines them. Finally, we will investigate how the Lebesgue theory of integration were used by Frigyes Riesz who was able to connect all theory of Fredholm, Fr´echet and Lebesgue to form a general theory, and a new discipline of mathematics, now known as functional analysis. -
Invariant Subspaces of Compact Operators on Topological Vector Spaces
Pacific Journal of Mathematics INVARIANT SUBSPACES OF COMPACT OPERATORS ON TOPOLOGICAL VECTOR SPACES ARTHUR D. GRAINGER Vol. 56, No. 2 December 1975 PACIFIC JOURNAL OF MATHEMATICS Vol. 56. No. 2, 1975 INVARIANT SUBSPACES OF COMPACT OPERATORS ON TOPOLOGICAL VECTOR SPACES ARTHUR D. GRAINGER Let (//, r) be a topological vector space and let T be a compact linear operator mapping H into H (i.e., T[V] is contained in a r- compact set for some r- neighborhood V of the zero vector in H). Sufficient conditions are given for (H,τ) so that T has a non-trivial, closed invariant linear subspace. In particular, it is shown that any complete, metrizable topological vector space with a Schauder basis satisfies the conditions stated in this paper. The proofs and conditions are stated within the framework of nonstandard analysis. Introduction. This paper considers the following problem: given a compact operator T (Definition 2.11) on a topological vector space (H, r), does there exist a closed nontrivial linear subspace F of H such that T[F] CF? Aronszajn and Smith gave an affirmative answer to the above question when H is a Banach space (see [1]). Also it is easily shown that the Aronszajn and Smith result can be extended to locally convex spaces. However, it appears that other methods must be used for nonlocally convex spaces. Sufficient conditions are given for a topological vector space so that a compact linear operator defined on the space has at least one nontrivial closed invariant linear subspace (Definitions 2.1 and 4.1, Theorems 3.2, 4.2 and 4.7). -
Extension of Compact Operators from DF-Spaces to C(K) Spaces
Applied General Topology c Universidad Polit´ecnica de Valencia @ Volume 7, No. 2, 2006 pp. 165-170 Extension of Compact Operators from DF-spaces to C(K) spaces Fernando Garibay Bonales and Rigoberto Vera Mendoza Abstract. It is proved that every compact operator from a DF- space, closed subspace of another DF-space, into the space C(K) of continuous functions on a compact Hausdorff space K can be extended to a compact operator of the total DF-space. 2000 AMS Classification: Primary 46A04, 46A20; Secondary 46B25. Keywords: Topological vector spaces, DF-spaces and C(K) the spaces. 1. Introduction Let E and X be topological vector spaces with E a closed subspace of X. We are interested in finding out when a continuous operator T : E → C(K) has an extension T˜ : X → C(K), where C(K) is the space of continuous real functions on a compact Hausdorff space K and C(K) has the norm of the supremum. When this is the case we will say that (E,X) has the extension property. Several advances have been made in this direction, a basic resume and bibliography for this problem can be found in [5]. In this work we will focus in the case when the operator T is a compact operator. In [4], p.23 , it is proved that (E,X) has the extension property when E and X are Banach spaces and T : E → C(K) is a compact operator. In this paper we extend this result to the case when E and X are DF-spaces (to be defined below), for this, we use basic tools from topological vector spaces. -
Dissipative Operators in a Banach Space
Pacific Journal of Mathematics DISSIPATIVE OPERATORS IN A BANACH SPACE GUNTER LUMER AND R. S. PHILLIPS Vol. 11, No. 2 December 1961 DISSIPATIVE OPERATORS IN A BANACH SPACE G. LUMER AND R. S. PHILLIPS 1. Introduction* The Hilbert space theory of dissipative operators1 was motivated by the Cauchy problem for systems of hyperbolic partial differential equations (see [5]), where a consideration of the energy of, say, an electromagnetic field leads to an L2 measure as the natural norm for the wave equation. However there are many interesting initial value problems in the theory of partial differential equations whose natural setting is not a Hilbert space, but rather a Banach space. Thus for the heat equation the natural measure is the supremum of the temperature whereas in the case of the diffusion equation the natural measure is the total mass given by an Lx norm. In the present paper a suitable extension of the theory of dissipative operators to arbitrary Banach spaces is initiated. An operator A with domain ®(A) contained in a Hilbert space H is called dissipative if (1.1) re(Ax, x) ^ 0 , x e ®(A) , and maximal dissipative if it is not the proper restriction of any other dissipative operator. As shown in [5] the maximal dissipative operators with dense domains precisely define the class of generators of strongly continuous semi-groups of contraction operators (i.e. bounded operators of norm =§ 1). In the case of the wave equation this furnishes us with a description of all solutions to the Cauchy problem for which the energy is nonincreasing in time. -
Resolvent and Polynomial Numerical Hull
Helsinki University of Technology Institute of Mathematics Research Reports Espoo 2008 A546 RESOLVENT AND POLYNOMIAL NUMERICAL HULL Olavi Nevanlinna AB TEKNILLINEN KORKEAKOULU TEKNISKA HÖGSKOLAN HELSINKI UNIVERSITY OF TECHNOLOGY TECHNISCHE UNIVERSITÄT HELSINKI UNIVERSITE DE TECHNOLOGIE D’HELSINKI Helsinki University of Technology Institute of Mathematics Research Reports Espoo 2008 A546 RESOLVENT AND POLYNOMIAL NUMERICAL HULL Olavi Nevanlinna Helsinki University of Technology Faculty of Information and Natural Sciences Department of Mathematics and Systems Analysis Olavi Nevanlinna: Resolvent and polynomial numerical hull; Helsinki University of Technology Institute of Mathematics Research Reports A546 (2008). Abstract: Given any bounded operator T in a Banach space X we dis- cuss simple approximations for the resolvent (λ − T )−1, rational in λ and polynomial in T . We link the convergence speed of the approximation to the Green’s function for the outside of the spectrum of T and give an application to computing Riesz projections. AMS subject classifications: 47A10, 47A12, 47A66 Keywords: resolvent operator, spectrum, polynomial numerical hull, numerical range, quasialgebraic operator, Riesz projection Correspondence Olavi Nevanlinna Helsinki University of Technology Institute of Mathematics P.O. Box 1100 FI-02015 TKK Finland olavi.nevanlinna@tkk.fi ISBN 978-951-22-9406-0 (print) ISBN 978-951-22-9407-7 (PDF) ISSN 0784-3143 (print) ISSN 1797-5867 (PDF) Helsinki University of Technology Faculty of Information and Natural Sciences Department of Mathematics and Systems Analysis P.O. Box 1100, FI-02015 TKK, Finland email: math@tkk.fi http://math.tkk.fi/ 1 Introduction Let T be a bounded operator in a complex Banach space X and denote by σ(T ) its spectrum. -
The Version for Compact Operators of Lindenstrauss Properties a and B
THE VERSION FOR COMPACT OPERATORS OF LINDENSTRAUSS PROPERTIES A AND B Miguel Mart´ın Departamento de An´alisisMatem´atico Facultad de Ciencias Universidad de Granada 18071 Granada, Spain E-mail: [email protected] ORCID: 0000-0003-4502-798X Abstract. It has been very recently discovered that there are compact linear operators between Banach spaces which cannot be approximated by norm attaining operators. The aim of this expository paper is to give an overview of those examples and also of sufficient conditions ensuring that compact linear operators can be approximated by norm attaining operators. To do so, we introduce the analogues for compact operators of Lindenstrauss properties A and B. 1. Introduction The study of norm attaining operators started with a celebrated paper by J. Lindenstrauss of 1963 [27]. There, he provided examples of pairs of Banach spaces such that there are (bounded linear) operators between them which cannot be approximated by norm attaining operators. Also, sufficient conditions on the domain space or on the range space providing the density of norm attaining operators were given. We recall that an operator T between two Banach spaces X and Y is said to attain its norm whenever there is x 2 X with kxk = 1 such that kT k = kT (x)k (that is, the supremum defining the operator norm is actually a maximum). Very recently, it has been shown that there exist compact linear operators between Banach spaces which cannot be approximated by norm attaining operators [30], solving a question that has remained open since the 1970s. We recall that an operator between Banach spaces is compact if it carries bounded sets into relatively compact sets or, equivalently, if the closure of the image of the unit ball is compact. -
Limiting Absorption Principle for Some Long Range Perturbations of Dirac Systems at Threshold Energies
LIMITING ABSORPTION PRINCIPLE FOR SOME LONG RANGE PERTURBATIONS OF DIRAC SYSTEMS AT THRESHOLD ENERGIES NABILE BOUSSAID AND SYLVAIN GOLENIA´ Abstract. We establish a limiting absorption principle for some long range perturbations of the Dirac systems at threshold energies. We cover multi-center interactions with small coupling constants. The analysis is reduced to studying a family of non-self-adjoint operators. The technique is based on a positive commutator theory for non self-adjoint operators, which we develop in appendix. We also discuss some applications to the dispersive Helmholtz model in the quantum regime. Contents 1. Introduction 1 2. Reduction of the problem 5 2.1. The non self-adjoint operator 5 2.2. From one limiting absorption principle to another 7 3. Positive commutator estimates. 9 4. Main result 12 Appendix A. Commutator expansions. 14 Appendix B. A non-selfadjoint weak Mourre theory 16 Appendix C. Application to non-relativistic dispersive Hamiltonians 19 References 20 1. Introduction We study properties of relativistic massive charged particles with spin-1=2 (e.g., electron, positron, (anti-)muon, (anti-)tauon,:::). We follow the Dirac formalism, see [17]. Because of the spin, the configu- ration space of the particle is vector valued. To simplify, we consider finite dimensional and trivial fiber. Let ≥ 2 be an integer. The movement of the free particle is given by the Dirac equation, @' i = D '; in L2( 3; 2 ); ~ @t m R C where m > 0 is the mass, c the speed of light, ~ the reduced Planck constant, and 3 2 X 2 (1.1) Dm := c~ ⋅ P + mc = −ic~ k@k + mc : k=1 Here we set := ( 1; 2; 3) and := 4. -
REVIEW on SPACES of LINEAR OPERATORS Throughout, We Let X, Y Be Complex Banach Spaces. Definition 1. B(X, Y ) Denotes the Vector
REVIEW ON SPACES OF LINEAR OPERATORS Throughout, we let X; Y be complex Banach spaces. Definition 1. B(X; Y ) denotes the vector space of bounded linear maps from X to Y . • For T 2 B(X; Y ), let kT k be smallest constant C such that kT xk ≤ Ckxk, or equivalently kT k = sup kT xk : kxk=1 Lemma 2. kT k is a norm on B(X; Y ), and makes B(X; Y ) into a Banach space. Proof. That kT k is a norm is easy, so we check completeness of B(X; Y ). 1 Suppose fTjgj=1 is a Cauchy sequence, i.e. kTi − Tjk ! 0 as i; j ! 1 : For each x 2 X, Tix is Cauchy in Y , since kTix − Tjxk ≤ kTi − Tjk kxk : Thus lim Tix ≡ T x exists by completeness of Y: i!1 Linearity of T follows immediately. And for kxk = 1, kTix − T xk = lim kTix − Tjxk ≤ sup kTi − Tjk j!1 j>i goes to 0 as i ! 1, so kTi − T k ! 0. Important cases ∗ • Y = C: we denote B(X; C) = X , the \dual space of X". It is a Banach space, and kvkX∗ = sup jv(x)j : kxk=1 • If T 2 B(X; Y ), define T ∗ 2 B(Y ∗;X∗) by the rule (T ∗v)(x) = v(T x) : Then j(T ∗v)(x)j = jv(T x)j ≤ kT k kvk kxk, so kT ∗vk ≤ kT k kvk. Thus ∗ kT kB(Y ∗;X∗) ≤ kT kB(X;Y ) : • If X = H is a Hilbert space, we saw we can identify X∗ and H by the relation v $ y where v(x) = hx; yi : Then T ∗ is defined on H by hx; T ∗yi = hT x; yi : Note the identification is a conjugate linear map between X∗ and H: cv(x) = chx; yi = hx; cy¯ i : 1 2 526/556 LECTURE NOTES • The case of greatest interest is when X = Y ; we denote B(X) ≡ B(X; X).