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A Guide to Topology
i i “topguide” — 2010/12/8 — 17:36 — page i — #1 i i A Guide to Topology i i i i i i “topguide” — 2011/2/15 — 16:42 — page ii — #2 i i c 2009 by The Mathematical Association of America (Incorporated) Library of Congress Catalog Card Number 2009929077 Print Edition ISBN 978-0-88385-346-7 Electronic Edition ISBN 978-0-88385-917-9 Printed in the United States of America Current Printing (last digit): 10987654321 i i i i i i “topguide” — 2010/12/8 — 17:36 — page iii — #3 i i The Dolciani Mathematical Expositions NUMBER FORTY MAA Guides # 4 A Guide to Topology Steven G. Krantz Washington University, St. Louis ® Published and Distributed by The Mathematical Association of America i i i i i i “topguide” — 2010/12/8 — 17:36 — page iv — #4 i i DOLCIANI MATHEMATICAL EXPOSITIONS Committee on Books Paul Zorn, Chair Dolciani Mathematical Expositions Editorial Board Underwood Dudley, Editor Jeremy S. Case Rosalie A. Dance Tevian Dray Patricia B. Humphrey Virginia E. Knight Mark A. Peterson Jonathan Rogness Thomas Q. Sibley Joe Alyn Stickles i i i i i i “topguide” — 2010/12/8 — 17:36 — page v — #5 i i The DOLCIANI MATHEMATICAL EXPOSITIONS series of the Mathematical Association of America was established through a generous gift to the Association from Mary P. Dolciani, Professor of Mathematics at Hunter College of the City Uni- versity of New York. In making the gift, Professor Dolciani, herself an exceptionally talented and successfulexpositor of mathematics, had the purpose of furthering the ideal of excellence in mathematical exposition. -
MTH 304: General Topology Semester 2, 2017-2018
MTH 304: General Topology Semester 2, 2017-2018 Dr. Prahlad Vaidyanathan Contents I. Continuous Functions3 1. First Definitions................................3 2. Open Sets...................................4 3. Continuity by Open Sets...........................6 II. Topological Spaces8 1. Definition and Examples...........................8 2. Metric Spaces................................. 11 3. Basis for a topology.............................. 16 4. The Product Topology on X × Y ...................... 18 Q 5. The Product Topology on Xα ....................... 20 6. Closed Sets.................................. 22 7. Continuous Functions............................. 27 8. The Quotient Topology............................ 30 III.Properties of Topological Spaces 36 1. The Hausdorff property............................ 36 2. Connectedness................................. 37 3. Path Connectedness............................. 41 4. Local Connectedness............................. 44 5. Compactness................................. 46 6. Compact Subsets of Rn ............................ 50 7. Continuous Functions on Compact Sets................... 52 8. Compactness in Metric Spaces........................ 56 9. Local Compactness.............................. 59 IV.Separation Axioms 62 1. Regular Spaces................................ 62 2. Normal Spaces................................ 64 3. Tietze's extension Theorem......................... 67 4. Urysohn Metrization Theorem........................ 71 5. Imbedding of Manifolds.......................... -
Chapter 7 Separation Properties
Chapter VII Separation Axioms 1. Introduction “Separation” refers here to whether or not objects like points or disjoint closed sets can be enclosed in disjoint open sets; “separation properties” have nothing to do with the idea of “separated sets” that appeared in our discussion of connectedness in Chapter 5 in spite of the similarity of terminology.. We have already met some simple separation properties of spaces: the XßX!"and X # (Hausdorff) properties. In this chapter, we look at these and others in more depth. As “more separation” is added to spaces, they generally become nicer and nicer especially when “separation” is combined with other properties. For example, we will see that “enough separation” and “a nice base” guarantees that a space is metrizable. “Separation axioms” translates the German term Trennungsaxiome used in the older literature. Therefore the standard separation axioms were historically named XXXX!"#$, , , , and X %, each stronger than its predecessors in the list. Once these were common terminology, another separation axiom was discovered to be useful and “interpolated” into the list: XÞ"" It turns out that the X spaces (also called $$## Tychonoff spaces) are an extremely well-behaved class of spaces with some very nice properties. 2. The Basics Definition 2.1 A topological space \ is called a 1) X! space if, whenever BÁC−\, there either exists an open set Y with B−Y, CÂY or there exists an open set ZC−ZBÂZwith , 2) X" space if, whenever BÁC−\, there exists an open set Ywith B−YßCÂZ and there exists an open set ZBÂYßC−Zwith 3) XBÁC−\Y# space (or, Hausdorff space) if, whenever , there exist disjoint open sets and Z\ in such that B−YC−Z and . -
Lecture 13: Basis for a Topology
Lecture 13: Basis for a Topology 1 Basis for a Topology Lemma 1.1. Let (X; T) be a topological space. Suppose that C is a collection of open sets of X such that for each open set U of X and each x in U, there is an element C 2 C such that x 2 C ⊂ U. Then C is the basis for the topology of X. Proof. In order to show that C is a basis, need to show that C satisfies the two properties of basis. To show the first property, let x be an element of the open set X. Now, since X is open, then, by hypothesis there exists an element C of C such that x 2 C ⊂ X. Thus C satisfies the first property of basis. To show the second property of basis, let x 2 X and C1;C2 be open sets in C such that x 2 C1 and x 2 C2. This implies that C1 \ C2 is also an open set in C and x 2 C1 \ C2. Then, by hypothesis, there exists an open set C3 2 C such that x 2 C3 ⊂ C1 \ C2. Thus, C satisfies the second property of basis too and hence, is indeed a basis for the topology on X. On many occasions it is much easier to show results about a topological space by arguing in terms of its basis. For example, to determine whether one topology is finer than the other, it is easier to compare the two topologies in terms of their bases. -
Advance Topics in Topology - Point-Set
ADVANCE TOPICS IN TOPOLOGY - POINT-SET NOTES COMPILED BY KATO LA 19 January 2012 Background Intervals: pa; bq “ tx P R | a ă x ă bu ÓÓ , / / calc. notation set theory notation / / \Open" intervals / pa; 8q ./ / / p´8; bq / / / -/ ra; bs; ra; 8q: Closed pa; bs; ra; bq: Half-openzHalf-closed Open Sets: Includes all open intervals and union of open intervals. i.e., p0; 1q Y p3; 4q. Definition: A set A of real numbers is open if @ x P A; D an open interval contain- ing x which is a subset of A. Question: Is Q, the set of all rational numbers, an open set of R? 1 1 1 - No. Consider . No interval of the form ´ "; ` " is a subset of . We can 2 2 2 Q 2 ˆ ˙ ask a similar question in R . 2 Is R open in R ?- No, because any disk around any point in R will have points above and below that point of R. Date: Spring 2012. 1 2 NOTES COMPILED BY KATO LA Definition: A set is called closed if its complement is open. In R, p0; 1q is open and p´8; 0s Y r1; 8q is closed. R is open, thus Ø is closed. r0; 1q is not open or closed. In R, the set t0u is closed: its complement is p´8; 0q Y p0; 8q. In 2 R , is tp0; 0qu closed? - Yes. Chapter 2 - Topological Spaces & Continuous Functions Definition:A topology on a set X is a collection T of subsets of X satisfying: (1) Ø;X P T (2) The union of any number of sets in T is again, in the collection (3) The intersection of any finite number of sets in T , is again in T Alternative Definition: ¨ ¨ ¨ is a collection T of subsets of X such that Ø;X P T and T is closed under arbitrary unions and finite intersections. -
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. -
Math 553 - Topology Todd Riggs Assignment 1 Sept 10, 2014
Math 553 - Topology Todd Riggs Assignment 1 Sept 10, 2014 Problems: Section 13 - 1, 3, 4, 5, 6; Section 16 - 1, 5, 8, 9; 13.1) Let X be a topological space and let A be a subset of X. Suppose that for each x 2 A there is an open set U containing x such that U ⊂ A. Show that A is open in X. Proof: Since for each x 2 A there exist Ux 2 T such that x 2 Ux and Ux ⊂ A, we have S A = Ux. That is, A is the union of open sets in X and thus by definition of the x2A topology on X; A is open. 13.3) Show that the collection Tc given in example 4 (pg 77) is a topology on the set X. Is the collection T1 = fUjX − U is infinite or empty or all of Xg a topology on X. Proof: PART (1) From example 4 Tc = fUjX − U is countable or is all of Xg. To show that Tc is a topology on X, we must show we meet all 3 conditions of the definition of topology. First, since X −X = ; is countable and X −; = X is all of X we have X and ; 2 Tc. Second, let Uα 2 Tc for α 2 I. We must look at two cases: (1) X − Uα = X for all α and (2) There exist α such that X − Uα is countable. Case (1): X − Uα = X S T This implies Uα = ; for all α. So X − ( Uα) = (X − Uα) = X and thus, α2I α2I S Uα 2 Tc. -
Some Examples and Counterexamples of Advanced Compactness in Topology
International Journal of Research in Engineering and Science (IJRES) ISSN (Online): 2320-9364, ISSN (Print): 2320-9356 www.ijres.org Volume 9 Issue 1 ǁ 2021 ǁ PP. 10-16 Some Examples and Counterexamples of Advanced Compactness in Topology Pankaj Goswami Department of Mathematics, University of Gour Banga, Malda, 732102, West Bengal, India ABSTRACT: The examples and counter examples are always usefull for better comprehension of underlying concept in a theorem or definition .Compactness has come to be one of the most importent and useful topic in advanced mathematics.This paper is an attempt to fill in some of the information that the standard textbook treatment of compactness leaves out, and giving some constructive significative counterexamples of Advanced Compactness in Topology . KEYWORDS: open cover, compact, connected, topological space, example, counterexamples, continuous function, locally compact, countably compact, limit point compact, sequentially compact, lindelöf , paracompact --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 15-01-2021 Date of acceptance: 30-01-2021 --------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION We begin by presenting some definitions, notations,examples and some theorems that are essential for concept of compactness in advanced topology .For more detailed, see [1-2], [7-10] and others, in references .If X is a closed bounded subset of the real line ℝ, then any family of open sets in ℝ whose union contains X has a finite sub family whose union also contains X . If X is a metric space or topological space in its own right , then the above proposition can be thought as saying that any class of open sets in X whose union is equal to X has a finite subclass whose union is also equal to X. -
On Α-Normal and Β-Normal Spaces
Comment.Math.Univ.Carolin. 42,3 (2001)507–519 507 On α-normal and β-normal spaces A.V. Arhangel’skii, L. Ludwig Abstract. We define two natural normality type properties, α-normality and β-normality, and compare these notions to normality. A natural weakening of Jones Lemma immedi- ately leads to generalizations of some important results on normal spaces. We observe that every β-normal, pseudocompact space is countably compact, and show that if X is a dense subspace of a product of metrizable spaces, then X is normal if and only if X is β-normal. All hereditarily separable spaces are α-normal. A space is normal if and only if it is κ-normal and β-normal. Central results of the paper are contained in Sections 3 and 4. Several examples are given, including an example (identified by R.Z. Buzyakova) of an α-normal, κ-normal, and not β-normal space, which is, in fact, a pseudocompact topological group. We observe that under CH there exists a locally compact Hausdorff hereditarily α-normal non-normal space (Theorem 3.3). This example is related to the main result of Section 4, which is a version of the famous Katˇetov’s theorem on metrizability of a compactum the third power of which is hereditarily normal (Corollary 4.3). We also present a Tychonoff space X such that no dense subspace of X is α-normal (Section 3). Keywords: normal, α-normal, β-normal, κ-normal, weakly normal, extremally discon- nected, Cp(X), Lindel¨of, compact, pseudocompact, countably compact, hereditarily sep- arable, hereditarily α-normal, property wD, weakly perfect, first countable Classification: 54D15, 54D65, 54G20 §0. -
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 ::: . -
Point Set Topology
Point Set Topology A. Topological Spaces and Continuous Maps Definition 1.1 A topology on a set X is a collection T of subsets of X satisfying the following axioms: T 1. ∅;X ∈T. T2. {Oα | α ∈ I}⊆T =⇒ α∈IOα ∈T. T3. O; O0 ∈T =⇒ O∩O0 ∈TS. A topological space is a pair (X; T )whereXis a set and T is a topology on X. When the topology T on X under discussion is clear, we simply denote (X; T )by X.Let(X; T ) be a topological space. Members of T are called open sets. (T 3) implies that a finite intersection of open sets is open. Examples 1. Let X be a set. The power set 2X of X is a topology on X and is called the discrete topology on X. The collection I = {∅;X} is also a topology on X and is called the indiscrete topology on X. 2. Let (X; d) be a metric space. Define O ⊆ X to be open if for any x ∈ O, there exists an open ball B(x; r) lying inside O. Then, Td = {O ⊆ X | O is open} ∪ {∅} is a topology on X. Td is called the topology induced by the metric d. 3. Since Rn is a metric space with the usual metric: n d((x ; :::; x ); (y ; :::; y )) = (x − y )2; 1 n 1 n v i i ui=1 uX t Rn has a topology U induced by d. This topology on Rn is called the usual topology. 4. Let X be an infinite set. -
Locally Compact Spaces of Measures
LOCALLY COMPACT SPACES OF MEASURES NORMAN Y. LUTHER Abstract. Under varying conditions on the topological space X, the spaces of <r-smooth, T-smooth, and tight measures on X, respectively, are each shown to be locally compact in the weak topology if, and only if, X is compact. 1. Introduction. Using the methods and results of Varadarajan [5], we give necessary and sufficient conditions on the topological space X for the local compactness of the spaces of ff-smooth, r- smooth, and tight measures [resp., signed measures] on X, respec- tively, when endowed with the weak topology. For such spaces of signed measures, the finiteness of X is easily seen to be necessary and sufficient (Remark 4). For such spaces of (nonnegative) measures, we find that, under various conditions on X, the compactness of X is necessary and sufficient (Corollaries 3 and 4); in fact, it is the dividing line between when the space is locally compact and when it has no compact neighborhoods whatsoever (Theorems 1, 2, and 5). 2. Preliminaries and main results. Our definitions, notation, and terminology follow quite closely those in the paper of Varadarajan [5]. In particular, our topological definitions and terminology co- incide with those of Kelley [3]. X will denote a topological space and C(X) the space of all real-valued, bounded, continuous functions on X. We use £ to denote the class of all zero-sets on X; i.e., $ = {/-1(0); fEC(X)}. The class of all co-zero sets (i.e., complements of zero-sets) in X shall be denoted by U.