5. Sequences, Weak T-Axioms, and First Countability
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Nearly Metacompact Spaces
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Topology and its Applications 98 (1999) 191–201 Nearly metacompact spaces Elise Grabner a;∗, Gary Grabner a, Jerry E. Vaughan b a Department Mathematics, Slippery Rock University, Slippery Rock, PA 16057, USA b Department Mathematics, University of North Carolina at Greensboro, Greensboro, NC 27412, USA Received 28 May 1997; received in revised form 30 December 1997 Abstract A space X is called nearly metacompact (meta-Lindelöf) provided that if U is an open cover of X then there is a dense set D ⊆ X and an open refinement V of U that is point-finite (point-countable) on D: We show that countably compact, nearly meta-Lindelöf T3-spaces are compact. That nearly metacompact radial spaces are meta-Lindelöf. Every space can be embedded as a closed subspace of a nearly metacompact space. We give an example of a countably compact, nearly meta-Lindelöf T2-space that is not compact and a nearly metacompact T2-space which is not irreducible. 1999 Elsevier Science B.V. All rights reserved. Keywords: Metacompact; Nearly metacompact; Irreducible; Countably compact; Radial AMS classification: Primary 54D20, Secondary 54A20; 54D30 A space X is called nearly metacompact (meta-Lindelöf) provided that if U is an open cover of X then there is a dense set D ⊆ X and an open refinement V of U such that Vx DfV 2 V: x 2 V g is finite (countable) for all x 2 D. The class of nearly metacompact spaces was introduced in [8] as a device for constructing a variety of interesting examples of non orthocompact spaces. -
I-Sequential Topological Spaces∗
Applied Mathematics E-Notes, 14(2014), 236-241 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ -Sequential Topological Spaces I Sudip Kumar Pal y Received 10 June 2014 Abstract In this paper a new notion of topological spaces namely, I-sequential topo- logical spaces is introduced and investigated. This new space is a strictly weaker notion than the first countable space. Also I-sequential topological space is a quotient of a metric space. 1 Introduction The idea of convergence of real sequence have been extended to statistical convergence by [2, 14, 15] as follows: If N denotes the set of natural numbers and K N then Kn denotes the set k K : k n and Kn stands for the cardinality of the set Kn. The natural densityf of the2 subset≤ Kg is definedj j by Kn d(K) = lim j j, n n !1 provided the limit exists. A sequence xn n N of points in a metric space (X, ) is said to be statistically f g 2 convergent to l if for arbitrary " > 0, the set K(") = k N : (xk, l) " has natural density zero. A lot of investigation has been donef on2 this convergence≥ andg its topological consequences after initial works by [5, 13]. It is easy to check that the family Id = A N : d(A) = 0 forms a non-trivial f g admissible ideal of N (recall that I 2N is called an ideal if (i) A, B I implies A B I and (ii) A I,B A implies B I. -
1. Introduction in a Topological Space, the Closure Is Characterized by the Limits of the Ultrafilters
Pr´e-Publica¸c˜oes do Departamento de Matem´atica Universidade de Coimbra Preprint Number 08–37 THE ULTRAFILTER CLOSURE IN ZF GONC¸ALO GUTIERRES Abstract: It is well known that, in a topological space, the open sets can be characterized using filter convergence. In ZF (Zermelo-Fraenkel set theory without the Axiom of Choice), we cannot replace filters by ultrafilters. It is proven that the ultrafilter convergence determines the open sets for every topological space if and only if the Ultrafilter Theorem holds. More, we can also prove that the Ultrafilter Theorem is equivalent to the fact that uX = kX for every topological space X, where k is the usual Kuratowski Closure operator and u is the Ultrafilter Closure with uX (A) := {x ∈ X : (∃U ultrafilter in X)[U converges to x and A ∈U]}. However, it is possible to built a topological space X for which uX 6= kX , but the open sets are characterized by the ultrafilter convergence. To do so, it is proved that if every set has a free ultrafilter then the Axiom of Countable Choice holds for families of non-empty finite sets. It is also investigated under which set theoretic conditions the equality u = k is true in some subclasses of topological spaces, such as metric spaces, second countable T0-spaces or {R}. Keywords: Ultrafilter Theorem, Ultrafilter Closure. AMS Subject Classification (2000): 03E25, 54A20. 1. Introduction In a topological space, the closure is characterized by the limits of the ultrafilters. Although, in the absence of the Axiom of Choice, this is not a fact anymore. -
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.......................... -
General Topology
General Topology Tom Leinster 2014{15 Contents A Topological spaces2 A1 Review of metric spaces.......................2 A2 The definition of topological space.................8 A3 Metrics versus topologies....................... 13 A4 Continuous maps........................... 17 A5 When are two spaces homeomorphic?................ 22 A6 Topological properties........................ 26 A7 Bases................................. 28 A8 Closure and interior......................... 31 A9 Subspaces (new spaces from old, 1)................. 35 A10 Products (new spaces from old, 2)................. 39 A11 Quotients (new spaces from old, 3)................. 43 A12 Review of ChapterA......................... 48 B Compactness 51 B1 The definition of compactness.................... 51 B2 Closed bounded intervals are compact............... 55 B3 Compactness and subspaces..................... 56 B4 Compactness and products..................... 58 B5 The compact subsets of Rn ..................... 59 B6 Compactness and quotients (and images)............. 61 B7 Compact metric spaces........................ 64 C Connectedness 68 C1 The definition of connectedness................... 68 C2 Connected subsets of the real line.................. 72 C3 Path-connectedness.......................... 76 C4 Connected-components and path-components........... 80 1 Chapter A Topological spaces A1 Review of metric spaces For the lecture of Thursday, 18 September 2014 Almost everything in this section should have been covered in Honours Analysis, with the possible exception of some of the examples. For that reason, this lecture is longer than usual. Definition A1.1 Let X be a set. A metric on X is a function d: X × X ! [0; 1) with the following three properties: • d(x; y) = 0 () x = y, for x; y 2 X; • d(x; y) + d(y; z) ≥ d(x; z) for all x; y; z 2 X (triangle inequality); • d(x; y) = d(y; x) for all x; y 2 X (symmetry). -
DEFINITIONS and THEOREMS in GENERAL TOPOLOGY 1. Basic
DEFINITIONS AND THEOREMS IN GENERAL TOPOLOGY 1. Basic definitions. A topology on a set X is defined by a family O of subsets of X, the open sets of the topology, satisfying the axioms: (i) ; and X are in O; (ii) the intersection of finitely many sets in O is in O; (iii) arbitrary unions of sets in O are in O. Alternatively, a topology may be defined by the neighborhoods U(p) of an arbitrary point p 2 X, where p 2 U(p) and, in addition: (i) If U1;U2 are neighborhoods of p, there exists U3 neighborhood of p, such that U3 ⊂ U1 \ U2; (ii) If U is a neighborhood of p and q 2 U, there exists a neighborhood V of q so that V ⊂ U. A topology is Hausdorff if any distinct points p 6= q admit disjoint neigh- borhoods. This is almost always assumed. A set C ⊂ X is closed if its complement is open. The closure A¯ of a set A ⊂ X is the intersection of all closed sets containing X. A subset A ⊂ X is dense in X if A¯ = X. A point x 2 X is a cluster point of a subset A ⊂ X if any neighborhood of x contains a point of A distinct from x. If A0 denotes the set of cluster points, then A¯ = A [ A0: A map f : X ! Y of topological spaces is continuous at p 2 X if for any open neighborhood V ⊂ Y of f(p), there exists an open neighborhood U ⊂ X of p so that f(U) ⊂ V . -
In a Topological Space (X, )
Separation Suppose that we have a sequence xn in a topological space (X; ). In order to consider the convergencef ofg such a sequence, we considerT the corre- sponding convergence result for a metric space in terms of open sets: namely: A sequence converges to a limit l X if every (open) neighbourhood containing l contains all but a finite number of2 points of the sequence. Consequently, we define convergence in (X; ) by: A sequence converges to a limit l X if everyT open set containing l contains all but a finite number of points of the sequence.2 However, this definition can have some unexpected consequences. If = φ, X , then every sequence in (X; ) converges, and every l X is a limitT of thef sequence.g T 2 Similarly, if we have a sequence in MATH 3402 which converges to an element of S11 (say) then every element of S11 is a limit of the sequence. If we want convergent sequences to have unique limits in X, then we need to impose further restrictions on the topology of X. Basicly the problem arises because there are distinct points x1 and x2 such that every open set containing x1 contains x2. Hence any sequence converging to x2 converges to x1 also. (In the examples above, this works both ways, but this is not necessary. If we consider the set a; b with the topology φ, a ;X , then every open set containing b contains a, butf notg vice-versa.) f f g g This means that x1 is a limit point of the set x2 , and this latter set is not closed. -
Introduction to Topology
Introduction to Topology Randall R. Holmes Auburn University Typeset by AMS-TEX 1 Chapter 1. Metric Spaces 1. De¯nition and Examples. As the course progresses we will need to review some basic notions about sets and functions. We begin with a little set theory. Let S be a set. For A; B ⊆ S, put A [ B := fs 2 S j s 2 A or s 2 Bg A \ B := fs 2 S j s 2 A and s 2 Bg S ¡ A := fs 2 S j s2 = Ag 1.1 Theorem. Let A; B ⊆ S. Then S ¡ (A [ B) = (S ¡ A) \ (S ¡ B). Exercise 1. Let A ⊆ S. Prove that S ¡ (S ¡ A) = A. Exercise 2. Let A; B ⊆ S. Prove that S ¡ (A \ B) = (S ¡ A) [ (S ¡ B). (Hint: Either prove this directly as in the proof of Theorem 1.1, or just use the statement of Theorem 1.1 together with Exercise 1.) Exercise 3. Let A; B; C ⊆ S. Prove that A M C ⊆ (A M B) [ (B M C), where A M B := (A [ B) ¡ (A \ B). 1.2 De¯nition. A metric space is a pair (X; d) where X is a non-empty set, and d is a function d : X £ X ! R such that for all x; y; z 2 X (1) d(x; y) ¸ 0, (2) d(x; y) = 0 if and only if x = y, (3) d(x; y) = d(y; x), and (4) d(x; z) · d(x; y) + d(y; z) (\triangle inequality"). In the de¯nition, d is called the distance function (or metric) and X is called the underlying set. -
On the Homotopy Theory of Stratified Spaces
On the homotopy theory of stratified spaces Peter J. Haine Abstract Let P be a poset. We show that the ∞-category StrP of ∞-categories with a conservative functor to P can be obtained from the ordinary category of P -stratified topological spaces by inverting a class of weak equivalences. For suitably nice P - stratified topological spaces, the corresponding object of StrP is the exit-path ∞- category of MacPherson, Treumann, and Lurie. In particular, the ∞-category of conically P -stratified spaces with equivalences on exit-path ∞-categories inverted embeds fully faithfully into StrP . This provides a stratified form of Grothendieck’s homotopy hypothesis. We then define a combinatorial simplicial model structure on the category of simplicial sets over the nerve of P whose underlying ∞-category is the ∞-category StrP . This model structure on P -stratified simplicial sets then allows us to easily compare other theories of P -stratified spaces to ours and deduce that they all embed into ours. Contents 0 Introduction2 0.1 Statement of results...........................3 0.2 Linear overview.............................5 0.3 Terminology & notations........................6 1 Abstract stratified homotopy types, décollages, & stratified topological spaces7 1.1 Abstract stratified homotopy types as décollages............7 1.2 Recollections on stratified topological spaces.............9 1.3 Stratified topological spaces as décollages............... 11 2 The Joyal–Kan model structure 13 2.1 Definition................................ 13 arXiv:1811.01119v5 [math.AT] 9 Sep 2019 2.2 Fibrant objects in the Joyal–Kan model structure........... 14 2.3 Stratified horn inclusions........................ 16 2.4 Simpliciality of the Joyal–Kan model structure............ 20 2.5 Stability of weak equivalences under filtered colimits........ -
Chapter 2 Metric Spaces and Topology
2.1. METRIC SPACES 29 Definition 2.1.29. The function f is called uniformly continuous if it is continu- ous and, for all > 0, the δ > 0 can be chosen independently of x0. In precise mathematical notation, one has ( > 0)( δ > 0)( x X) ∀ ∃ ∀ 0 ∈ ( x x0 X d (x , x0) < δ ), d (f(x ), f(x)) < . ∀ ∈ { ∈ | X 0 } Y 0 Definition 2.1.30. A function f : X Y is called Lipschitz continuous on A X → ⊆ if there is a constant L R such that dY (f(x), f(y)) LdX (x, y) for all x, y A. ∈ ≤ ∈ Let fA denote the restriction of f to A X defined by fA : A Y with ⊆ → f (x) = f(x) for all x A. It is easy to verify that, if f is Lipschitz continuous on A ∈ A, then fA is uniformly continuous. Problem 2.1.31. Let (X, d) be a metric space and define f : X R by f(x) = → d(x, x ) for some fixed x X. Show that f is Lipschitz continuous with L = 1. 0 0 ∈ 2.1.3 Completeness Suppose (X, d) is a metric space. From Definition 2.1.8, we know that a sequence x , x ,... of points in X converges to x X if, for every δ > 0, there exists an 1 2 ∈ integer N such that d(x , x) < δ for all i N. i ≥ 1 n = 2 n = 4 0.8 n = 8 ) 0.6 t ( n f 0.4 0.2 0 1 0.5 0 0.5 1 − − t Figure 2.1: The sequence of continuous functions in Example 2.1.32 satisfies the Cauchy criterion. -
Topology: the Journey Into Separation Axioms
TOPOLOGY: THE JOURNEY INTO SEPARATION AXIOMS VIPUL NAIK Abstract. In this journey, we are going to explore the so called “separation axioms” in greater detail. We shall try to understand how these axioms are affected on going to subspaces, taking products, and looking at small open neighbourhoods. 1. What this journey entails 1.1. Prerequisites. Familiarity with definitions of these basic terms is expected: • Topological space • Open sets, closed sets, and limit points • Basis and subbasis • Continuous function and homeomorphism • Product topology • Subspace topology The target audience for this article are students doing a first course in topology. 1.2. The explicit promise. At the end of this journey, the learner should be able to: • Define the following: T0, T1, T2 (Hausdorff), T3 (regular), T4 (normal) • Understand how these properties are affected on taking subspaces, products and other similar constructions 2. What are separation axioms? 2.1. The idea behind separation. The defining attributes of a topological space (in terms of a family of open subsets) does little to guarantee that the points in the topological space are somehow distinct or far apart. The topological spaces that we would like to study, on the other hand, usually have these two features: • Any two points can be separated, that is, they are, to an extent, far apart. • Every point can be approached very closely from other points, and if we take a sequence of points, they will usually get to cluster around a point. On the face of it, the above two statements do not seem to reconcile each other. In fact, topological spaces become interesting precisely because they are nice in both the above ways. -
3 Limits of Sequences and Filters
3 Limits of Sequences and Filters The Axiom of Choice is obviously true, the well-ordering theorem is obviously false; and who can tell about Zorn’s Lemma? —Jerry Bona (Schechter, 1996) Introduction. Chapter 2 featured various properties of topological spaces and explored their interactions with a few categorical constructions. In this chapter we’ll again discuss some topological properties, this time with an eye toward more fine-grained ideas. As introduced early in a study of analysis, properties of nice topological spaces X can be detected by sequences of points in X. We’ll be interested in some of these properties and the extent to which sequences suffice to detect them. But take note of the adjective “nice” here. What if X is any topological space, not just a nice one? Unfortunately, sequences are not well suited for characterizing properties in arbitrary spaces. But all is not lost. A sequence can be replaced with a more general construction—a filter—which is much better suited for the task. In this chapter we introduce filters and highlight some of their strengths. Our goal is to spend a little time inside of spaces to discuss ideas that may be familiar from analysis. For this reason, this chapter contains less category theory than others. On the other hand, we’ll see in section 3.3 that filters are a bit like functors and hence like generalizations of points. This perspective thus gives us a coarse-grained approach to investigating fine-grained ideas. We’ll go through some of these basic ideas—closure, limit points, sequences, and more—rather quickly in sections 3.1 and 3.2.