A Symplectic Banach Space with No Lagrangian Subspaces
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A Note on Bilinear Forms
A note on bilinear forms Darij Grinberg July 9, 2020 Contents 1. Introduction1 2. Bilinear maps and forms1 3. Left and right orthogonal spaces4 4. Interlude: Symmetric and antisymmetric bilinear forms 14 5. The morphism of quotients I 15 6. The morphism of quotients II 20 7. More on orthogonal spaces 24 1. Introduction In this note, we shall prove some elementary linear-algebraic properties of bi- linear forms. These properties generalize some of the standard facts about non- degenerate bilinear forms on finite-dimensional vector spaces (e.g., the fact that ? V? = V for a vector subspace V of a vector space A equipped with a nonde- generate symmetric bilinear form) to bilinear forms which may be degenerate. They are unlikely to be new, but I have not found them explored anywhere, whence this note. 2. Bilinear maps and forms We fix a field k. This field will be fixed for the rest of this note. The notion of a “vector space” will always be understood to mean “k-vector space”. The 1 A note on bilinear forms July 9, 2020 word “subspace” will always mean “k-vector subspace”. The word “linear” will always mean “k-linear”. If V and W are two k-vector spaces, then Hom (V, W) denotes the vector space of all linear maps from V to W. If S is a subset of a vector space V, then span S will mean the span of S (that is, the subspace of V spanned by S). We recall the definition of a bilinear map: Definition 2.1. -
Baire Category Theorem and Uniform Boundedness Principle)
Functional Analysis (WS 19/20), Problem Set 3 (Baire Category Theorem and Uniform Boundedness Principle) Baire Category Theorem B1. Let (X; k·kX ) be an innite dimensional Banach space. Prove that X has uncountable Hamel basis. Note: This is Problem A2 from Problem Set 1. B2. Consider subset of bounded sequences 1 A = fx 2 l : only nitely many xk are nonzerog : Can one dene a norm on A so that it becomes a Banach space? Consider the same question with the set of polynomials dened on interval [0; 1]. B3. Prove that the set L2(0; 1) has empty interior as the subset of Banach space L1(0; 1). B4. Let f : [0; 1) ! [0; 1) be a continuous function such that for every x 2 [0; 1), f(kx) ! 0 as k ! 1. Prove that f(x) ! 0 as x ! 1. B5.( Uniform Boundedness Principle) Let (X; k · kX ) be a Banach space and (Y; k · kY ) be a normed space. Let fTαgα2A be a family of bounded linear operators between X and Y . Suppose that for any x 2 X, sup kTαxkY < 1: α2A Prove that . supα2A kTαk < 1 Uniform Boundedness Principle U1. Let F be a normed space C[0; 1] with L2(0; 1) norm. Check that the formula 1 Z n 'n(f) = n f(t) dt 0 denes a bounded linear functional on . Verify that for every , F f 2 F supn2N j'n(f)j < 1 but . Why Uniform Boundedness Principle is not satised in this case? supn2N k'nk = 1 U2.( pointwise convergence of operators) Let (X; k · kX ) be a Banach space and (Y; k · kY ) be a normed space. -
3 Bilinear Forms & Euclidean/Hermitian Spaces
3 Bilinear Forms & Euclidean/Hermitian Spaces Bilinear forms are a natural generalisation of linear forms and appear in many areas of mathematics. Just as linear algebra can be considered as the study of `degree one' mathematics, bilinear forms arise when we are considering `degree two' (or quadratic) mathematics. For example, an inner product is an example of a bilinear form and it is through inner products that we define the notion of length in n p 2 2 analytic geometry - recall that the length of a vector x 2 R is defined to be x1 + ... + xn and that this formula holds as a consequence of Pythagoras' Theorem. In addition, the `Hessian' matrix that is introduced in multivariable calculus can be considered as defining a bilinear form on tangent spaces and allows us to give well-defined notions of length and angle in tangent spaces to geometric objects. Through considering the properties of this bilinear form we are able to deduce geometric information - for example, the local nature of critical points of a geometric surface. In this final chapter we will give an introduction to arbitrary bilinear forms on K-vector spaces and then specialise to the case K 2 fR, Cg. By restricting our attention to thse number fields we can deduce some particularly nice classification theorems. We will also give an introduction to Euclidean spaces: these are R-vector spaces that are equipped with an inner product and for which we can `do Euclidean geometry', that is, all of the geometric Theorems of Euclid will hold true in any arbitrary Euclidean space. -
Bornologically Isomorphic Representations of Tensor Distributions
Bornologically isomorphic representations of distributions on manifolds E. Nigsch Thursday 15th November, 2018 Abstract Distributional tensor fields can be regarded as multilinear mappings with distributional values or as (classical) tensor fields with distribu- tional coefficients. We show that the corresponding isomorphisms hold also in the bornological setting. 1 Introduction ′ ′ ′r s ′ Let D (M) := Γc(M, Vol(M)) and Ds (M) := Γc(M, Tr(M) ⊗ Vol(M)) be the strong duals of the space of compactly supported sections of the volume s bundle Vol(M) and of its tensor product with the tensor bundle Tr(M) over a manifold; these are the spaces of scalar and tensor distributions on M as defined in [?, ?]. A property of the space of tensor distributions which is fundamental in distributional geometry is given by the C∞(M)-module isomorphisms ′r ∼ s ′ ∼ r ′ Ds (M) = LC∞(M)(Tr (M), D (M)) = Ts (M) ⊗C∞(M) D (M) (1) (cf. [?, Theorem 3.1.12 and Corollary 3.1.15]) where C∞(M) is the space of smooth functions on M. In[?] a space of Colombeau-type nonlinear generalized tensor fields was constructed. This involved handling smooth functions (in the sense of convenient calculus as developed in [?]) in par- arXiv:1105.1642v1 [math.FA] 9 May 2011 ∞ r ′ ticular on the C (M)-module tensor products Ts (M) ⊗C∞(M) D (M) and Γ(E) ⊗C∞(M) Γ(F ), where Γ(E) denotes the space of smooth sections of a vector bundle E over M. In[?], however, only minor attention was paid to questions of topology on these tensor products. -
Representation of Bilinear Forms in Non-Archimedean Hilbert Space by Linear Operators
Comment.Math.Univ.Carolin. 47,4 (2006)695–705 695 Representation of bilinear forms in non-Archimedean Hilbert space by linear operators Toka Diagana This paper is dedicated to the memory of Tosio Kato. Abstract. The paper considers representing symmetric, non-degenerate, bilinear forms on some non-Archimedean Hilbert spaces by linear operators. Namely, upon making some assumptions it will be shown that if φ is a symmetric, non-degenerate bilinear form on a non-Archimedean Hilbert space, then φ is representable by a unique self-adjoint (possibly unbounded) operator A. Keywords: non-Archimedean Hilbert space, non-Archimedean bilinear form, unbounded operator, unbounded bilinear form, bounded bilinear form, self-adjoint operator Classification: 47S10, 46S10 1. Introduction Representing bounded or unbounded, symmetric, bilinear forms by linear op- erators is among the most attractive topics in representation theory due to its significance and its possible applications. Applications include those arising in quantum mechanics through the study of the form sum associated with the Hamil- tonians, mathematical physics, symplectic geometry, variational methods through the study of weak solutions to some partial differential equations, and many oth- ers, see, e.g., [3], [7], [10], [11]. This paper considers representing symmetric, non- degenerate, bilinear forms defined over the so-called non-Archimedean Hilbert spaces Eω by linear operators as it had been done for closed, positive, symmetric, bilinear forms in the classical setting, see, e.g., Kato [11, Chapter VI, Theo- rem 2.23, p. 331]. Namely, upon making some assumptions it will be shown that if φ : D(φ) × D(φ) ⊂ Eω × Eω 7→ K (K being the ground field) is a symmetric, non-degenerate, bilinear form, then there exists a unique self-adjoint (possibly unbounded) operator A such that (1.1) φ(u, v)= hAu, vi, ∀ u ∈ D(A), v ∈ D(φ) where D(A) and D(φ) denote the domains of A and φ, respectively. -
On Domain of Nörlund Matrix
mathematics Article On Domain of Nörlund Matrix Kuddusi Kayaduman 1,* and Fevzi Ya¸sar 2 1 Faculty of Arts and Sciences, Department of Mathematics, Gaziantep University, Gaziantep 27310, Turkey 2 ¸SehitlerMah. Cambazlar Sok. No:9, Kilis 79000, Turkey; [email protected] * Correspondence: [email protected] Received: 24 October 2018; Accepted: 16 November 2018; Published: 20 November 2018 Abstract: In 1978, the domain of the Nörlund matrix on the classical sequence spaces lp and l¥ was introduced by Wang, where 1 ≤ p < ¥. Tu˘gand Ba¸sarstudied the matrix domain of Nörlund mean on the sequence spaces f 0 and f in 2016. Additionally, Tu˘gdefined and investigated a new sequence space as the domain of the Nörlund matrix on the space of bounded variation sequences in 2017. In this article, we defined new space bs(Nt) and cs(Nt) and examined the domain of the Nörlund mean on the bs and cs, which are bounded and convergent series, respectively. We also examined their inclusion relations. We defined the norms over them and investigated whether these new spaces provide conditions of Banach space. Finally, we determined their a-, b-, g-duals, and characterized their matrix transformations on this space and into this space. Keywords: nörlund mean; nörlund transforms; difference matrix; a-, b-, g-duals; matrix transformations 1. Introduction 1.1. Background In the studies on the sequence space, creating a new sequence space and research on its properties have been important. Some researchers examined the algebraic properties of the sequence space while others investigated its place among other known spaces and its duals, and characterized the matrix transformations on this space. -
Arxiv:1911.05823V1 [Math.OA] 13 Nov 2019 Al Opc Oooia Pcsadcommutative and Spaces Topological Compact Cally Edt E Eut Ntplg,O Ipie Hi Ros Nteothe the in Study Proofs
TOEPLITZ EXTENSIONS IN NONCOMMUTATIVE TOPOLOGY AND MATHEMATICAL PHYSICS FRANCESCA ARICI AND BRAM MESLAND Abstract. We review the theory of Toeplitz extensions and their role in op- erator K-theory, including Kasparov’s bivariant K-theory. We then discuss the recent applications of Toeplitz algebras in the study of solid state sys- tems, focusing in particular on the bulk-edge correspondence for topological insulators. 1. Introduction Noncommutative topology is rooted in the equivalence of categories between lo- cally compact topological spaces and commutative C∗-algebras. This duality allows for a transfer of ideas, constructions, and results between topology and operator al- gebras. This interplay has been fruitful for the advancement of both fields. Notable examples are the Connes–Skandalis foliation index theorem [17], the K-theory proof of the Atiyah–Singer index theorem [3, 4], and Cuntz’s proof of Bott periodicity in K-theory [18]. Each of these demonstrates how techniques from operator algebras lead to new results in topology, or simplifies their proofs. In the other direction, Connes’ development of noncommutative geometry [14] by using techniques from Riemannian geometry to study C∗-algebras, led to the discovery of cyclic homol- ogy [13], a homology theory for noncommutative algebras that generalises de Rham cohomology. Noncommutative geometry and topology techniques have found ample applica- tions in mathematical physics, ranging from Connes’ reformulation of the stan- dard model of particle physics [15], to quantum field theory [16], and to solid-state physics. The noncommutative approach to the study of complex solid-state sys- tems was initiated and developed in [5, 6], focusing on the quantum Hall effect and resulting in the computation of topological invariants via pairings between K- theory and cyclic homology. -
Properties of Bilinear Forms on Hilbert Spaces Related to Stability Properties of Certain Partial Differential Operators
JOURNAL OF hlATHEhlATICAL ANALYSIS AND APPLICATIONS 20, 124-144 (1967) Properties of Bilinear Forms on Hilbert Spaces Related to Stability Properties of Certain Partial Differential Operators N. SAUER National Research Institute for Mathematical Sciences, Pretoria, South Africa Submitted by P. Lax INTRODUCTION The continuous dependence of solutions of positive definite, self-adjoint partial differential equations on the domain was investigated by Babugka [I], [2]. In a recent paper, [3], Babugka and Vjibornjr also studied the continuous dependence of the eigenvalues of strongly-elliptic, self-adjoint partial dif- ferential operators on the domain. It is the aim of this paper to study formalisms in abstract Hilbert space by means of which results on various types of continuous dependences can be obtained. In the case of the positive definite operator it is found that the condition of self-adjointness can be dropped. The properties of operators of this type are studied in part II. In part III the behavior of the eigenvalues of a self- adjoint elliptic operator under various “small changes” is studied. In part IV some applications to partial differential operators and variational theory are sketched. I. BASIC: CONCEPTS AND RESULTS Let H be a complex Hilbert space. We use the symbols X, y, z,... for vectors in H and the symbols a, b, c,... for scalars. The inner product in H is denoted by (~,y) and the norm by I( .v 11 = (x, x)llz. Weak and strong convergence of a sequence (x~} to an element x0 E H are denoted by x’, - x0 and x’, + x,, , respectively. A functional f on H is called: (i) continuous if it is continuous in the strong topology on H, (ii) weakly continuous (w.-continuous) if it is continuous in the weak topology on H. -
Fact Sheet Functional Analysis
Fact Sheet Functional Analysis Literature: Hackbusch, W.: Theorie und Numerik elliptischer Differentialgleichungen. Teubner, 1986. Knabner, P., Angermann, L.: Numerik partieller Differentialgleichungen. Springer, 2000. Triebel, H.: H¨ohere Analysis. Harri Deutsch, 1980. Dobrowolski, M.: Angewandte Funktionalanalysis, Springer, 2010. 1. Banach- and Hilbert spaces Let V be a real vector space. Normed space: A norm is a mapping k · k : V ! [0; 1), such that: kuk = 0 , u = 0; (definiteness) kαuk = jαj · kuk; α 2 R; u 2 V; (positive scalability) ku + vk ≤ kuk + kvk; u; v 2 V: (triangle inequality) The pairing (V; k · k) is called a normed space. Seminorm: In contrast to a norm there may be elements u 6= 0 such that kuk = 0. It still holds kuk = 0 if u = 0. Comparison of two norms: Two norms k · k1, k · k2 are called equivalent if there is a constant C such that: −1 C kuk1 ≤ kuk2 ≤ Ckuk1; u 2 V: If only one of these inequalities can be fulfilled, e.g. kuk2 ≤ Ckuk1; u 2 V; the norm k · k1 is called stronger than the norm k · k2. k · k2 is called weaker than k · k1. Topology: In every normed space a canonical topology can be defined. A subset U ⊂ V is called open if for every u 2 U there exists a " > 0 such that B"(u) = fv 2 V : ku − vk < "g ⊂ U: Convergence: A sequence vn converges to v w.r.t. the norm k · k if lim kvn − vk = 0: n!1 1 A sequence vn ⊂ V is called Cauchy sequence, if supfkvn − vmk : n; m ≥ kg ! 0 for k ! 1. -
MAT641-Inner Product Spaces
MAT641- MSC Mathematics, MNIT Jaipur Functional Analysis-Inner Product Space and orthogonality Dr. Ritu Agarwal Department of Mathematics, Malaviya National Institute of Technology Jaipur April 11, 2017 1 Inner Product Space Inner product on linear space X over field K is defined as a function h:i : X × X −! K which satisfies following axioms: For x; y; z 2 X, α 2 K, i. hx + y; zi = hx; zi + hy; zi; ii. hαx; yi = αhx; yi; iii. hx; yi = hy; xi; iv. hx; xi ≥ 0, hx; xi = 0 iff x = 0. An inner product defines norm as: kxk = phx; xi and the induced metric on X is given by d(x; y) = kx − yk = phx − y; x − yi Further, following results can be derived from these axioms: hαx + βy; zi = αhx; zi + βhy; zi hx; αyi = αhx; yi hx; αy + βzi = αhx; yi + βhx; zi α, β are scalars and bar denotes complex conjugation. Remark 1.1. Inner product is linear w.r.to first factor and conjugate linear (semilin- ear) w.r.to second factor. Together, this property is called `Sesquilinear' (means one and half-linear). Date: April 11, 2017 Email:[email protected] Web: drrituagarwal.wordpress.com MAT641-Inner Product Space and orthogonality 2 Definition 1.2 (Hilbert space). A complete inner product space is known as Hilbert Space. Example 1. Examples of Inner product spaces n n i. Euclidean Space R , hx; yi = ξ1η1 + ::: + ξnηn, x = (ξ1; :::; ξn), y = (η1; :::; ηn) 2 R . n n ii. Unitary Space C , hx; yi = ξ1η1 + ::: + ξnηn, x = (ξ1; :::; ξn), y = (η1; :::; ηn) 2 C . -
Ideal Convergence and Completeness of a Normed Space
mathematics Article Ideal Convergence and Completeness of a Normed Space Fernando León-Saavedra 1 , Francisco Javier Pérez-Fernández 2, María del Pilar Romero de la Rosa 3,∗ and Antonio Sala 4 1 Department of Mathematics, Faculty of Social Sciences and Communication, University of Cádiz, 11405 Jerez de la Frontera, Spain; [email protected] 2 Department of Mathematics, Faculty of Science, University of Cádiz, 1510 Puerto Real, Spain; [email protected] 3 Department of Mathematics, CASEM, University of Cádiz, 11510 Puerto Real, Spain 4 Department of Mathematics, Escuela Superior de Ingeniería, University of Cádiz, 11510 Puerto Real, Spain; [email protected] * Correspondence: [email protected] Received: 23 July 2019; Accepted: 21 September 2019; Published: 25 September 2019 Abstract: We aim to unify several results which characterize when a series is weakly unconditionally Cauchy (wuc) in terms of the completeness of a convergence space associated to the wuc series. If, additionally, the space is completed for each wuc series, then the underlying space is complete. In the process the existing proofs are simplified and some unanswered questions are solved. This research line was originated in the PhD thesis of the second author. Since then, it has been possible to characterize the completeness of a normed spaces through different convergence subspaces (which are be defined using different kinds of convergence) associated to an unconditionally Cauchy sequence. Keywords: ideal convergence; unconditionally Cauchy series; completeness ; barrelledness MSC: 40H05; 40A35 1. Introduction A sequence (xn) in a Banach space X is said to be statistically convergent to a vector L if for any # > 0 the subset fn : kxn − Lk > #g has density 0. -
On Some Bk Spaces
IJMMS 2003:28, 1783–1801 PII. S0161171203204324 http://ijmms.hindawi.com © Hindawi Publishing Corp. ON SOME BK SPACES BRUNO DE MALAFOSSE Received 25 April 2002 ◦ (c) We characterize the spaces sα(∆), sα(∆),andsα (∆) and we deal with some sets generalizing the well-known sets w0(λ), w∞(λ), w(λ), c0(λ), c∞(λ),andc(λ). 2000 Mathematics Subject Classification: 46A45, 40C05. 1. Notations and preliminary results. For a given infinite matrix A = (anm)n,m≥1, the operators An, for any integer n ≥ 1, are defined by ∞ An(X) = anmxm, (1.1) m=1 where X = (xn)n≥1 is the series intervening in the second member being con- vergent. So, we are led to the study of the infinite linear system An(X) = bn,n= 1,2,..., (1.2) where B=(b n)n≥1 is a one-column matrix and X the unknown, see [2, 3, 5, 6, 7, 9]. Equation (1.2) can be written in the form AX = B, where AX = (An(X))n≥1.In this paper, we will also consider A as an operator from a sequence space into another sequence space. A Banach space E of complex sequences with the norm E is a BK space if P X → P X E each projection n : n is continuous. A BK space is said to have AK B = (b ) B = ∞ b e (see [8]) if for every n n≥1, n=1 m m, that is, ∞ bmem → 0 (n →∞). (1.3) m=N+1 E We shall write s, c, c0,andl∞ for the sets of all complex, convergent sequences, sequences convergent to zero, and bounded sequences, respectively.