Linear Subsets of Nonlinear Sets in Topological Vector Spaces
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Quaternions and Cli Ord Geometric Algebras
Quaternions and Cliord Geometric Algebras Robert Benjamin Easter First Draft Edition (v1) (c) copyright 2015, Robert Benjamin Easter, all rights reserved. Preface As a rst rough draft that has been put together very quickly, this book is likely to contain errata and disorganization. The references list and inline citations are very incompete, so the reader should search around for more references. I do not claim to be the inventor of any of the mathematics found here. However, some parts of this book may be considered new in some sense and were in small parts my own original research. Much of the contents was originally written by me as contributions to a web encyclopedia project just for fun, but for various reasons was inappropriate in an encyclopedic volume. I did not originally intend to write this book. This is not a dissertation, nor did its development receive any funding or proper peer review. I oer this free book to the public, such as it is, in the hope it could be helpful to an interested reader. June 19, 2015 - Robert B. Easter. (v1) [email protected] 3 Table of contents Preface . 3 List of gures . 9 1 Quaternion Algebra . 11 1.1 The Quaternion Formula . 11 1.2 The Scalar and Vector Parts . 15 1.3 The Quaternion Product . 16 1.4 The Dot Product . 16 1.5 The Cross Product . 17 1.6 Conjugates . 18 1.7 Tensor or Magnitude . 20 1.8 Versors . 20 1.9 Biradials . 22 1.10 Quaternion Identities . 23 1.11 The Biradial b/a . -
Vector Measures with Variation in a Banach Function Space
VECTOR MEASURES WITH VARIATION IN A BANACH FUNCTION SPACE O. BLASCO Departamento de An´alisis Matem´atico, Universidad de Valencia, Doctor Moliner, 50 E-46100 Burjassot (Valencia), Spain E-mail:[email protected] PABLO GREGORI Departament de Matem`atiques, Universitat Jaume I de Castell´o, Campus Riu Sec E-12071 Castell´o de la Plana (Castell´o), Spain E-mail:[email protected] Let E be a Banach function space and X be an arbitrary Banach space. Denote by E(X) the K¨othe-Bochner function space defined as the set of measurable functions f :Ω→ X such that the nonnegative functions fX :Ω→ [0, ∞) are in the lattice E. The notion of E-variation of a measure —which allows to recover the p- variation (for E = Lp), Φ-variation (for E = LΦ) and the general notion introduced by Gresky and Uhl— is introduced. The space of measures of bounded E-variation VE (X) is then studied. It is shown, amongother thingsand with some restriction ∗ ∗ of absolute continuity of the norms, that (E(X)) = VE (X ), that VE (X) can be identified with space of cone absolutely summingoperators from E into X and that E(X)=VE (X) if and only if X has the RNP property. 1. Introduction The concept of variation in the frame of vector measures has been fruitful in several areas of the functional analysis, such as the description of the duality of vector-valued function spaces such as certain K¨othe-Bochner function spaces (Gretsky and Uhl10, Dinculeanu7), the reformulation of operator ideals such as the cone absolutely summing operators (Blasco4), and the Hardy spaces of harmonic function (Blasco2,3). -
Uniform Boundedness Principle for Unbounded Operators
UNIFORM BOUNDEDNESS PRINCIPLE FOR UNBOUNDED OPERATORS C. GANESA MOORTHY and CT. RAMASAMY Abstract. A uniform boundedness principle for unbounded operators is derived. A particular case is: Suppose fTigi2I is a family of linear mappings of a Banach space X into a normed space Y such that fTix : i 2 Ig is bounded for each x 2 X; then there exists a dense subset A of the open unit ball in X such that fTix : i 2 I; x 2 Ag is bounded. A closed graph theorem and a bounded inverse theorem are obtained for families of linear mappings as consequences of this principle. Some applications of this principle are also obtained. 1. Introduction There are many forms for uniform boundedness principle. There is no known evidence for this principle for unbounded operators which generalizes classical uniform boundedness principle for bounded operators. The second section presents a uniform boundedness principle for unbounded operators. An application to derive Hellinger-Toeplitz theorem is also obtained in this section. A JJ J I II closed graph theorem and a bounded inverse theorem are obtained for families of linear mappings in the third section as consequences of this principle. Go back Let us assume the following: Every vector space X is over R or C. An α-seminorm (0 < α ≤ 1) is a mapping p: X ! [0; 1) such that p(x + y) ≤ p(x) + p(y), p(ax) ≤ jajαp(x) for all x; y 2 X Full Screen Close Received November 7, 2013. 2010 Mathematics Subject Classification. Primary 46A32, 47L60. Key words and phrases. -
3. Closed Sets, Closures, and Density
3. Closed sets, closures, and density 1 Motivation Up to this point, all we have done is define what topologies are, define a way of comparing two topologies, define a method for more easily specifying a topology (as a collection of sets generated by a basis), and investigated some simple properties of bases. At this point, we will start introducing some more interesting definitions and phenomena one might encounter in a topological space, starting with the notions of closed sets and closures. Thinking back to some of the motivational concepts from the first lecture, this section will start us on the road to exploring what it means for two sets to be \close" to one another, or what it means for a point to be \close" to a set. We will draw heavily on our intuition about n convergent sequences in R when discussing the basic definitions in this section, and so we begin by recalling that definition from calculus/analysis. 1 n Definition 1.1. A sequence fxngn=1 is said to converge to a point x 2 R if for every > 0 there is a number N 2 N such that xn 2 B(x) for all n > N. 1 Remark 1.2. It is common to refer to the portion of a sequence fxngn=1 after some index 1 N|that is, the sequence fxngn=N+1|as a tail of the sequence. In this language, one would phrase the above definition as \for every > 0 there is a tail of the sequence inside B(x)." n Given what we have established about the topological space Rusual and its standard basis of -balls, we can see that this is equivalent to saying that there is a tail of the sequence inside any open set containing x; this is because the collection of -balls forms a basis for the usual topology, and thus given any open set U containing x there is an such that x 2 B(x) ⊆ U. -
Fourier Spectrum Characterizations of Clifford $ H^{P} $ Spaces on $\Mathbf {R}^{N+ 1} + $ for $1\Leq P\Leq\Infty$
p n+1 Fourier Spectrum of Clifford H Spaces on R+ for 1 ≤ p ≤ ∞ Pei Dang, Weixiong Mai,∗ Tao Qian Abstract This article studies the Fourier spectrum characterization of func- p n+1 tions in the Clifford algebra-valued Hardy spaces H (R+ ), 1 ≤ p ≤ ∞. Namely, for f ∈ Lp(Rn), Clifford algebra-valued, f is further the non-tangential boundary limit of some function in p n+1 ˆ ˆ H (R+ ), 1 ≤ p ≤ ∞, if and only if f = χ+f, where χ+(ξ) = 1 ξ 2 (1 + i |ξ| ), the Fourier transformation and the above relation are suitably interpreted (for some cases in the distribution sense). These results further develop the relevant context of Alan McIn- tosh. As a particular case of our results, the vector-valued Clifford Hardy space functions are identical with the conjugate harmonic systems in the work of Stein and Weiss. The latter proved the cor- responding singular integral version of the vector-valued cases for 1 ≤ p < ∞. We also obtain the generalized conjugate harmonic systems for the whole Clifford algebra-valued Hardy spaces rather than only the vector-valued cases in the Stein-Weiss setting. Key words: Hardy space, Monogenic Function, Fourier Spectrum, Riesz Transform, Clifford Algebra, Conjugate Harmonic System arXiv:1711.02610v2 [math.CV] 14 Oct 2019 In memory of Alan McIntosh 1 Introduction The classical Paley-Wiener Theorem asserts that for a L2(R)-function f, scalar-valued, it is further the non-tangential boundary limit (NTBL) of a function in the Hardy H2 space in the upper half plane if and only if the Fourier transform of f, denoted by fˆ, satisfies the ˆ ˆ relation f = χ+f, where χ+ is the characteristic (indicator) function of the set (0, ∞), that This work was supported by the Science and Technology Development Fund, Macao SAR: 0006/2019/A1, 154/2017/A3; NSFC Grant No. -
Topological Vector Spaces and Algebras
Joseph Muscat 2015 1 Topological Vector Spaces and Algebras [email protected] 1 June 2016 1 Topological Vector Spaces over R or C Recall that a topological vector space is a vector space with a T0 topology such that addition and the field action are continuous. When the field is F := R or C, the field action is called scalar multiplication. Examples: A N • R , such as sequences R , with pointwise convergence. p • Sequence spaces ℓ (real or complex) with topology generated by Br = (a ): p a p < r , where p> 0. { n n | n| } p p p p • LebesgueP spaces L (A) with Br = f : A F, measurable, f < r (p> 0). { → | | } R p • Products and quotients by closed subspaces are again topological vector spaces. If π : Y X are linear maps, then the vector space Y with the ini- i → i tial topology is a topological vector space, which is T0 when the πi are collectively 1-1. The set of (continuous linear) morphisms is denoted by B(X, Y ). The mor- phisms B(X, F) are called ‘functionals’. +, , Finitely- Locally Bounded First ∗ → Generated Separable countable Top. Vec. Spaces ///// Lp 0 <p< 1 ℓp[0, 1] (ℓp)N (ℓp)R p ∞ N n R 2 Locally Convex ///// L p > 1 L R , C(R ) R pointwise, ℓweak Inner Product ///// L2 ℓ2[0, 1] ///// ///// Locally Compact Rn ///// ///// ///// ///// 1. A set is balanced when λ 6 1 λA A. | | ⇒ ⊆ (a) The image and pre-image of balanced sets are balanced. ◦ (b) The closure and interior are again balanced (if A 0; since λA = (λA)◦ A◦); as are the union, intersection, sum,∈ scaling, T and prod- uct A ⊆B of balanced sets. -
What Are Lyapunov Exponents, and Why Are They Interesting?
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 54, Number 1, January 2017, Pages 79–105 http://dx.doi.org/10.1090/bull/1552 Article electronically published on September 6, 2016 WHAT ARE LYAPUNOV EXPONENTS, AND WHY ARE THEY INTERESTING? AMIE WILKINSON Introduction At the 2014 International Congress of Mathematicians in Seoul, South Korea, Franco-Brazilian mathematician Artur Avila was awarded the Fields Medal for “his profound contributions to dynamical systems theory, which have changed the face of the field, using the powerful idea of renormalization as a unifying principle.”1 Although it is not explicitly mentioned in this citation, there is a second unify- ing concept in Avila’s work that is closely tied with renormalization: Lyapunov (or characteristic) exponents. Lyapunov exponents play a key role in three areas of Avila’s research: smooth ergodic theory, billiards and translation surfaces, and the spectral theory of 1-dimensional Schr¨odinger operators. Here we take the op- portunity to explore these areas and reveal some underlying themes connecting exponents, chaotic dynamics and renormalization. But first, what are Lyapunov exponents? Let’s begin by viewing them in one of their natural habitats: the iterated barycentric subdivision of a triangle. When the midpoint of each side of a triangle is connected to its opposite vertex by a line segment, the three resulting segments meet in a point in the interior of the triangle. The barycentric subdivision of a triangle is the collection of 6 smaller triangles determined by these segments and the edges of the original triangle: Figure 1. Barycentric subdivision. Received by the editors August 2, 2016. -
Sisältö Part I: Topological Vector Spaces 4 1. General Topological
Sisalt¨ o¨ Part I: Topological vector spaces 4 1. General topological vector spaces 4 1.1. Vector space topologies 4 1.2. Neighbourhoods and filters 4 1.3. Finite dimensional topological vector spaces 9 2. Locally convex spaces 10 2.1. Seminorms and semiballs 10 2.2. Continuous linear mappings in locally convex spaces 13 3. Generalizations of theorems known from normed spaces 15 3.1. Separation theorems 15 Hahn and Banach theorem 17 Important consequences 18 Hahn-Banach separation theorem 19 4. Metrizability and completeness (Fr`echet spaces) 19 4.1. Baire's category theorem 19 4.2. Complete topological vector spaces 21 4.3. Metrizable locally convex spaces 22 4.4. Fr´echet spaces 23 4.5. Corollaries of Baire 24 5. Constructions of spaces from each other 25 5.1. Introduction 25 5.2. Subspaces 25 5.3. Factor spaces 26 5.4. Product spaces 27 5.5. Direct sums 27 5.6. The completion 27 5.7. Projektive limits 28 5.8. Inductive locally convex limits 28 5.9. Direct inductive limits 29 6. Bounded sets 29 6.1. Bounded sets 29 6.2. Bounded linear mappings 31 7. Duals, dual pairs and dual topologies 31 7.1. Duals 31 7.2. Dual pairs 32 7.3. Weak topologies in dualities 33 7.4. Polars 36 7.5. Compatible topologies 39 7.6. Polar topologies 40 PART II Distributions 42 1. The idea of distributions 42 1.1. Schwartz test functions and distributions 42 2. Schwartz's test function space 43 1 2.1. The spaces C (Ω) and DK 44 1 2 2.2. -
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. -
DRAFT Uncountable Problems 1. Introduction
November 8, 9, 2017; June 10, 21, November 8, 2018; January 19, 2019. DRAFT Chapter from a book, The Material Theory of Induction, now in preparation. Uncountable Problems John D. Norton1 Department of History and Philosophy of Science University of Pittsburgh http://www.pitt.edu/~jdnorton 1. Introduction The previous chapter examined the inductive logic applicable to an infinite lottery machine. Such a machine generates a countably infinite set of outcomes, that is, there are as many outcomes as natural numbers, 1, 2, 3, … We found there that, if the lottery machine is to operate without favoring any particular outcome, the inductive logic native to the system is not probabilistic. A countably infinite set is the smallest in the hierarchy of infinities. The next routinely considered is a continuum-sized set, such as given by the set of all real numbers or even just by the set of all real numbers in some interval, from, say, 0 to 1. It is easy to fall into thinking that the problems of inductive inference with countably infinite sets do not arise for outcome sets of continuum size. For a familiar structure in probability theory is the uniform distribution of probabilities over some interval of real numbers. One might think that this probability distribution provides a logic that treats each outcome in a continuum-sized set equally, thereby doing what no probability distribution could do for a countably infinite set. That would be a mistake. A continuum-sized set is literally infinitely more complicated than a countably infinite set. If we simply ask that each outcome in a continuum- sized set be treated equally in the inductive logic, then just about every problem that arose with the countably infinite case reappears; and then more. -
Codimension One Isometric Immersions Betweenlorentz Spaces by L
TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 252, August 1979 CODIMENSION ONE ISOMETRIC IMMERSIONS BETWEENLORENTZ SPACES BY L. K. GRAVES In memory of my father, Lucius Kingman Graves Abstract. The theorem of Hartman and Nirenberg classifies codimension one isometric immersions between Euclidean spaces as cylinders over plane curves. Corresponding results are given here for Lorentz spaces, which are Euclidean spaces with one negative-definite direction (also known as Minkowski spaces). The pivotal result involves the completeness of the relative nullity foliation of such an immersion. When this foliation carries a nondegenerate metric, results analogous to the Hartman-Nirenberg theorem obtain. Otherwise, a new description, based on particular surfaces in the three-dimensional Lorentz space, is required. The theorem of Hartman and Nirenberg [HN] says that, up to a proper motion of E"+', all isometric immersions of E" into E"+ ' have the form id X c: E"-1 xEUr'x E2 (0.1) where c: E1 ->E2 is a unit speed plane curve and the factors in the product are orthogonal. A proof of the Hartman-Nirenberg result also appears in [N,]. The major step in proving the theorem is showing that the relative nullity foliation, which is spanned by those tangent directions in which a local unit normal field is parallel, has complete leaves. These leaves yield the E"_1 factors in (0.1). The one-dimensional complement of the relative nullity foliation gives rise to the curve c. This paper studies isometric immersions of L" into Ln+1, where L" denotes the «-dimensional Lorentz (or Minkowski) space. Its chief goal is the classifi- cation, up to a proper motion of L"+1, of all such immersions. -
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.