Mcshane-Whitney Extensions in Constructive Analysis
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Synthetic Topology and Constructive Metric Spaces
University of Ljubljana Faculty of Mathematics and Physics Department of Mathematics Davorin Leˇsnik Synthetic Topology and Constructive Metric Spaces Doctoral thesis Advisor: izr. prof. dr. Andrej Bauer arXiv:2104.10399v1 [math.GN] 21 Apr 2021 Ljubljana, 2010 Univerza v Ljubljani Fakulteta za matematiko in fiziko Oddelek za matematiko Davorin Leˇsnik Sintetiˇcna topologija in konstruktivni metriˇcni prostori Doktorska disertacija Mentor: izr. prof. dr. Andrej Bauer Ljubljana, 2010 Abstract The thesis presents the subject of synthetic topology, especially with relation to metric spaces. A model of synthetic topology is a categorical model in which objects possess an intrinsic topology in a suitable sense, and all morphisms are continuous with regard to it. We redefine synthetic topology in order to incorporate closed sets, and several generalizations are made. Real numbers are reconstructed (to suit the new background) as open Dedekind cuts. An extensive theory is developed when metric and intrinsic topology match. In the end the results are examined in four specific models. Math. Subj. Class. (MSC 2010): 03F60, 18C50 Keywords: synthetic, topology, metric spaces, real numbers, constructive Povzetek Disertacija predstavi podroˇcje sintetiˇcne topologije, zlasti njeno povezavo z metriˇcnimi prostori. Model sintetiˇcne topologije je kategoriˇcni model, v katerem objekti posedujejo intrinziˇcno topologijo v ustreznem smislu, glede na katero so vsi morfizmi zvezni. Definicije in izreki sintetiˇcne topologije so posploˇseni, med drugim tako, da vkljuˇcujejo zaprte mnoˇzice. Realna ˇstevila so (zaradi sin- tetiˇcnega ozadja) rekonstruirana kot odprti Dedekindovi rezi. Obˇsirna teorija je razvita, kdaj se metriˇcna in intrinziˇcna topologija ujemata. Na koncu prouˇcimo dobljene rezultate v ˇstirih izbranih modelih. Math. Subj. Class. (MSC 2010): 03F60, 18C50 Kljuˇcne besede: sintetiˇcen, topologija, metriˇcni prostori, realna ˇstevila, konstruktiven 8 Contents Introduction 11 0.1 Acknowledgements ................................. -
Arxiv:1910.07913V4 [Math.LO]
REPRESENTATIONS AND THE FOUNDATIONS OF MATHEMATICS SAM SANDERS Abstract. The representation of mathematical objects in terms of (more) ba- sic ones is part and parcel of (the foundations of) mathematics. In the usual foundations of mathematics, i.e. ZFC set theory, all mathematical objects are represented by sets, while ordinary, i.e. non-set theoretic, mathematics is rep- resented in the more parsimonious language of second-order arithmetic. This paper deals with the latter representation for the rather basic case of continu- ous functions on the reals and Baire space. We show that the logical strength of basic theorems named after Tietze, Heine, and Weierstrass, changes signifi- cantly upon the replacement of ‘second-order representations’ by ‘third-order functions’. We discuss the implications and connections to the Reverse Math- ematics program and its foundational claims regarding predicativist mathe- matics and Hilbert’s program for the foundations of mathematics. Finally, we identify the problem caused by representations of continuous functions and formulate a criterion to avoid problematic codings within the bigger picture of representations. 1. Introduction Lest we be misunderstood, let our first order of business be to formulate the following blanket caveat: any formalisation of mathematics generally involves some kind of representation (aka coding) of mathematical objects in terms of others. Now, the goal of this paper is to critically examine the role of representations based on the language of second-order arithmetic; such an examination perhaps unsurpris- ingly involves the comparison of theorems based on second-order representations versus theorems formulated in third-order arithmetic. To be absolutely clear, we do not claim that the latter represent the ultimate mathematical truth, nor do we arXiv:1910.07913v5 [math.LO] 9 Aug 2021 (wish to) downplay the role of representations in third-order arithmetic. -
URYSOHN's THEOREM and TIETZE EXTENSION THEOREM Definition
URYSOHN'S THEOREM AND TIETZE EXTENSION THEOREM Tianlin Liu [email protected] Mathematics Department Jacobs University Bremen Campus Ring 6, 28759, Bremen, Germany Definition 0.1. Let x; y topological space X. We define the following properties of topological space X: ∈ T0: If x y, there is an open set containing x but not y or an open set containing y but not x. ≠ T1: If x y, there is an open set containing y but not x. T2: If x≠ y, there are disjoint open sets U; V with x U and y V . ≠ ∈ T3∈: X is a T1 space, and for any closed set A X and any x AC there are disjoint open sets U; V with x U and A V . ⊂ T4∈: X is a T1 space, and for any disjoint closed∈ sets A, ⊂B in X there are disjoint open sets U, V with A Uand B V . We say a T2 space is a Hausdorff space, a T⊂3 space is⊂ a regular space, a T4 space is a normal space. Definition 0.2. C X; a; b Space of all continuous a; b valued functions on X. ( [ ]) ∶= [ ] Date: February 11, 2016. 1 URYSOHN'S THEOREM AND TIETZE EXTENSION THEOREM 2 Theorem 0.3. (Urysohn's Lemma) Let X be a normal space. If A and B are disjoint closed sets in X, there exists f C X; 0; 1 such that f 0 on A and f 1 on B. Proof. ∈ ( [ ]) = = Step 1: Define a large collection of open sets in X (Lemma 4.14 in [1]) Let D be the set of dyadic rationals in 0; 1 , that is, D 1 1 3 1 3 7 1; 0; 2 ; 4 ; 4 ; 8 ; 8 ; 8 ::: . -
University of Cape Town Department of Mathematics and Applied Mathematics Faculty of Science
The copyright of this thesis vests in the author. No quotation from it or information derived from it is to be published without full acknowledgementTown of the source. The thesis is to be used for private study or non- commercial research purposes only. Cape Published by the University ofof Cape Town (UCT) in terms of the non-exclusive license granted to UCT by the author. University University of Cape Town Department of Mathematics and Applied Mathematics Faculty of Science Convexity in quasi-metricTown spaces Cape ofby Olivier Olela Otafudu May 2012 University A thesis presented for the degree of Doctor of Philosophy prepared under the supervision of Professor Hans-Peter Albert KÄunzi. Abstract Over the last ¯fty years much progress has been made in the investigation of the hyperconvex hull of a metric space. In particular, Dress, Espinola, Isbell, Jawhari, Khamsi, Kirk, Misane, Pouzet published several articles concerning hyperconvex metric spaces. The principal aim of this thesis is to investigateTown the existence of an injective hull in the categories of T0-quasi-metric spaces and of T0-ultra-quasi- metric spaces with nonexpansive maps. Here several results obtained by others for the hyperconvex hull of a metric space haveCape been generalized by us in the case of quasi-metric spaces. In particular we haveof obtained some original results for the q-hyperconvex hull of a T0-quasi-metric space; for instance the q-hyperconvex hull of any totally bounded T0-quasi-metric space is joincompact. Also a construction of the ultra-quasi-metrically injective (= u-injective) hull of a T0-ultra-quasi- metric space is provided. -
Basic Functional Analysis Master 1 UPMC MM005
Basic Functional Analysis Master 1 UPMC MM005 Jean-Fran¸coisBabadjian, Didier Smets and Franck Sueur October 18, 2011 2 Contents 1 Topology 5 1.1 Basic definitions . 5 1.1.1 General topology . 5 1.1.2 Metric spaces . 6 1.2 Completeness . 7 1.2.1 Definition . 7 1.2.2 Banach fixed point theorem for contraction mapping . 7 1.2.3 Baire's theorem . 7 1.2.4 Extension of uniformly continuous functions . 8 1.2.5 Banach spaces and algebra . 8 1.3 Compactness . 11 1.4 Separability . 12 2 Spaces of continuous functions 13 2.1 Basic definitions . 13 2.2 Completeness . 13 2.3 Compactness . 14 2.4 Separability . 15 3 Measure theory and Lebesgue integration 19 3.1 Measurable spaces and measurable functions . 19 3.2 Positive measures . 20 3.3 Definition and properties of the Lebesgue integral . 21 3.3.1 Lebesgue integral of non negative measurable functions . 21 3.3.2 Lebesgue integral of real valued measurable functions . 23 3.4 Modes of convergence . 25 3.4.1 Definitions and relationships . 25 3.4.2 Equi-integrability . 27 3.5 Positive Radon measures . 29 3.6 Construction of the Lebesgue measure . 34 4 Lebesgue spaces 39 4.1 First definitions and properties . 39 4.2 Completeness . 41 4.3 Density and separability . 42 4.4 Convolution . 42 4.4.1 Definition and Young's inequality . 43 4.4.2 Mollifier . 44 4.5 A compactness result . 45 5 Continuous linear maps 47 5.1 Space of continuous linear maps . 47 5.2 Uniform boundedness principle{Banach-Steinhaus theorem . -
The Range of Ultrametrics, Compactness, and Separability
The range of ultrametrics, compactness, and separability Oleksiy Dovgosheya,∗, Volodymir Shcherbakb aDepartment of Theory of Functions, Institute of Applied Mathematics and Mechanics of NASU, Dobrovolskogo str. 1, Slovyansk 84100, Ukraine bDepartment of Applied Mechanics, Institute of Applied Mathematics and Mechanics of NASU, Dobrovolskogo str. 1, Slovyansk 84100, Ukraine Abstract We describe the order type of range sets of compact ultrametrics and show that an ultrametrizable infinite topological space (X, τ) is compact iff the range sets are order isomorphic for any two ultrametrics compatible with the topology τ. It is also shown that an ultrametrizable topology is separable iff every compatible with this topology ultrametric has at most countable range set. Keywords: totally bounded ultrametric space, order type of range set of ultrametric, compact ultrametric space, separable ultrametric space 2020 MSC: Primary 54E35, Secondary 54E45 1. Introduction In what follows we write R+ for the set of all nonnegative real numbers, Q for the set of all rational number, and N for the set of all strictly positive integer numbers. Definition 1.1. A metric on a set X is a function d: X × X → R+ satisfying the following conditions for all x, y, z ∈ X: (i) (d(x, y)=0) ⇔ (x = y); (ii) d(x, y)= d(y, x); (iii) d(x, y) ≤ d(x, z)+ d(z,y) . + + A metric space is a pair (X, d) of a set X and a metric d: X × X → R . A metric d: X × X → R is an ultrametric on X if we have d(x, y) ≤ max{d(x, z), d(z,y)} (1.1) for all x, y, z ∈ X. -
Extension of Mappings and Pseudometrics
E extracta mathematicae Vol. 25, N´um.3, 277 { 308 (2010) Extension of Mappings and Pseudometrics M. Huˇsek∗ Charles University, Prague, Sokolovsk´a 83, Czech Republic, and University J.E.Purkynˇe, Ust´ınad´ Labem, Cesk´eml´adeˇzeˇ 8, Czech Republic, Miroslav.Husek@mff.cuni.cz, [email protected] Presented by Gino Tironi Received December 22, 2010 Abstract: The aim of this paper is to show a development of various methods of extensions of mappings and their interrelations. We shall point out some methods and relations entailing more general results than those originally stated. Key words: Extension of function, extension of pseudometric, metric space. AMS Subject Class. (2010): 54C20, 54E35. 1. Introduction 1.1. General remarks. We shall use two main looks at results con- cerning extensions of mappings. The first one is just historical { we shall go through the original methods and divide them into three almost disjoint pro- cedures. The second look goes into deeper analysis of the methods and tries to deduce from them as much as possible. In several cases we shall see that authors proved much more than they formulated and used (see, e.g. Theo- rems 3', 10', 2.6). We shall also describe some elementary relations among various extension results and some elementary procedures allowing to gener- alize extension results for metric spaces to more general ones (see 2.5-2.7, 3.4, Proposition 22, 4.1.3). We shall consider those situations when all (uniformly) continuous map- pings can be extended from closed subsets, excluding cases when extension exists for some of them only or from some more special subsets only. -
Simultaneous Extension of Continuous and Uniformly Continuous Functions
SIMULTANEOUS EXTENSION OF CONTINUOUS AND UNIFORMLY CONTINUOUS FUNCTIONS VALENTIN GUTEV Abstract. The first known continuous extension result was obtained by Lebes- gue in 1907. In 1915, Tietze published his famous extension theorem generalis- ing Lebesgue’s result from the plane to general metric spaces. He constructed the extension by an explicit formula involving the distance function on the met- ric space. Thereafter, several authors contributed other explicit extension for- mulas. In the present paper, we show that all these extension constructions also preserve uniform continuity, which answers a question posed by St. Watson. In fact, such constructions are simultaneous for special bounded functions. Based on this, we also refine a result of Dugundji by constructing various continuous (nonlinear) extension operators which preserve uniform continuity as well. 1. Introduction In his 1907 paper [24] on Dirichlet’s problem, Lebesgue showed that for a closed subset A ⊂ R2 and a continuous function ϕ : A → R, there exists a continuous function f : R2 → R with f ↾ A = ϕ. Here, f is commonly called a continuous extension of ϕ, and we also say that ϕ can be extended continuously. In 1915, Tietze [30] generalised Lebesgue’s result for all metric spaces. Theorem 1.1 (Tietze, 1915). If (X,d) is a metric space and A ⊂ X is a closed set, then each bounded continuous function ϕ : A → R can be extended to a continuous function f : X → R. arXiv:2010.02955v1 [math.GN] 6 Oct 2020 Tietze gave two proofs of Theorem 1.1, the second of which was based on the following explicit construction of the extension. -
Reverse Mathematics and the Strong Tietze Extension Theorem
Reverse mathematics and the strong Tietze extension theorem Paul Shafer Universiteit Gent [email protected] http://cage.ugent.be/~pshafer/ CTFM 2016 Tokyo, Japan September 20, 2016 Paul Shafer { UGent RM and sTET[0;1] September 20, 2016 1 / 41 A conjecture of Giusto & Simpson (2000) Conjecture (Giusto & Simpson) The following are equivalent over RCA0: (1) WKL0. (2) Let Xb be a compact complete separable metric space, let C be a closed subset of Xb, and let f : C ! R be a continuous function with a modulus of uniform continuity. Then there is a continuous function F : Xb ! R with a modulus of uniform continuity such that F C = f. (3) Same as (2) with `closed' replaced by `closed and separably closed.' (4) Special case of (2) with Xb = [0; 1]. (5) Special case of (3) with Xb = [0; 1]. Let sTET[0;1] denote statement (5). Paul Shafer { UGent RM and sTET[0;1] September 20, 2016 2 / 41 Definitions in RCA0 (metric spaces) Let's remember what all the words in the conjecture mean in RCA0. A real number is coded by a sequence hqk : k 2 Ni of rationals such that −k 8k8i(jqk − qk+ij ≤ 2 ). A complete separable metric space Ab is coded by a non-empty set A and a ≥0 metric d: A × A ! R . A point in Ab is coded by a sequence hak : k 2 Ni of members of A such −k that 8k8i(d(ak; ak+i) ≤ 2 ). A complete separable metric space Ab is compact if there are finite sequences hhxi;j : j ≤ nii : i 2 Ni with each xi;j 2 Ab such that −i (8z 2 Ab)(8i 2 N)(9j ≤ ni)(d(xi;j; z) < 2 ): Paul Shafer { UGent RM and sTET[0;1] September 20, 2016 3 / 41 Definitions in RCA0 (the interval [0,1]) The interval [0; 1] is a complete separable metric space coded by the set fq 2 Q : 0 ≤ q ≤ 1g (with the usual metric). -
Metric Spaces
Chapter 1. Metric Spaces Definitions. A metric on a set M is a function d : M M R × → such that for all x, y, z M, Metric Spaces ∈ d(x, y) 0; and d(x, y)=0 if and only if x = y (d is positive) MA222 • ≥ d(x, y)=d(y, x) (d is symmetric) • d(x, z) d(x, y)+d(y, z) (d satisfies the triangle inequality) • ≤ David Preiss The pair (M, d) is called a metric space. [email protected] If there is no danger of confusion we speak about the metric space M and, if necessary, denote the distance by, for example, dM . The open ball centred at a M with radius r is the set Warwick University, Spring 2008/2009 ∈ B(a, r)= x M : d(x, a) < r { ∈ } the closed ball centred at a M with radius r is ∈ x M : d(x, a) r . { ∈ ≤ } A subset S of a metric space M is bounded if there are a M and ∈ r (0, ) so that S B(a, r). ∈ ∞ ⊂ MA222 – 2008/2009 – page 1.1 Normed linear spaces Examples Definition. A norm on a linear (vector) space V (over real or Example (Euclidean n spaces). Rn (or Cn) with the norm complex numbers) is a function : V R such that for all · → n n , x y V , x = x 2 so with metric d(x, y)= x y 2 ∈ | i | | i − i | x 0; and x = 0 if and only if x = 0(positive) i=1 i=1 • ≥ cx = c x for every c R (or c C)(homogeneous) • | | ∈ ∈ n n x + y x + y (satisfies the triangle inequality) Example (n spaces with p norm, p 1). -
Metric Spaces
Empirical Processes: Lecture 06 Spring, 2010 Introduction to Empirical Processes and Semiparametric Inference Lecture 06: Metric Spaces Michael R. Kosorok, Ph.D. Professor and Chair of Biostatistics Professor of Statistics and Operations Research University of North Carolina-Chapel Hill 1 Empirical Processes: Lecture 06 Spring, 2010 §Introduction to Part II ¤ ¦ ¥ The goal of Part II is to provide an in depth coverage of the basics of empirical process techniques which are useful in statistics: Chapter 6: mathematical background, metric spaces, outer • expectation, linear operators and functional differentiation. Chapter 7: stochastic convergence, weak convergence, other modes • of convergence. Chapter 8: empirical process techniques, maximal inequalities, • symmetrization, Glivenk-Canteli results, Donsker results. Chapter 9: entropy calculations, VC classes, Glivenk-Canteli and • Donsker preservation. Chapter 10: empirical process bootstrap. • 2 Empirical Processes: Lecture 06 Spring, 2010 Chapter 11: additional empirical process results. • Chapter 12: the functional delta method. • Chapter 13: Z-estimators. • Chapter 14: M-estimators. • Chapter 15: Case-studies II. • 3 Empirical Processes: Lecture 06 Spring, 2010 §Topological Spaces ¤ ¦ ¥ A collection of subsets of a set X is a topology in X if: O (i) and X , where is the empty set; ; 2 O 2 O ; (ii) If U for j = 1; : : : ; m, then U ; j 2 O j=1;:::;m j 2 O (iii) If U is an arbitrary collection of Tmembers of (finite, countable or f αg O uncountable), then U . α α 2 O S When is a topology in X, then X (or the pair (X; )) is a topological O O space, and the members of are called the open sets in X. -
Categorical Aspects of the Classical Ascoli Theorems Cahiers De Topologie Et Géométrie Différentielle Catégoriques, Tome 22, No 3 (1981), P
CAHIERS DE TOPOLOGIE ET GÉOMÉTRIE DIFFÉRENTIELLE CATÉGORIQUES JOHN W. GRAY Categorical aspects of the classical Ascoli theorems Cahiers de topologie et géométrie différentielle catégoriques, tome 22, no 3 (1981), p. 337-342 <http://www.numdam.org/item?id=CTGDC_1981__22_3_337_0> © Andrée C. Ehresmann et les auteurs, 1981, tous droits réservés. L’accès aux archives de la revue « Cahiers de topologie et géométrie différentielle catégoriques » implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation 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/ CAHIERS DE TOPOLOGIE 3e COLLOQUE SUR LES CATEGORIES E T GEOMETRIE DIFFERENTIELLE DEDIE A CHARLES EHRESMANN Vol. XXII -3 (1981) Amiens, Juillet 1980 CATEGORICALASPECTS OF THE CLASSICALASCOLI THEOREMS by John W. GRAY 0. INTRODUCTION In a forthcoming paper [4] ( summarized below) a version of Ascoli’s Theorem for topological categories enriched in bomological sets is proved. In this paper it is shown how the two classical versions as found in [1] or [9] fit into this format. 1. GENERAL THEORY Let Born denote the category of bomological sets and bounded maps. (See [7 .) It is well known that Born is a cartesian closed topolo- gical category. ( See (6 ] . ) Let T denote a topological category ( cf. 5] or [11] ) which is enriched in Bom in such a way that the enriched hom func- tors T (X, -) preserve sup’s of structures and commute with f *, with dual assumptions on T (-, Y) .