Open Sets in Topological Spaces

Total Page:16

File Type:pdf, Size:1020Kb

Open Sets in Topological Spaces International Mathematical Forum, Vol. 14, 2019, no. 1, 41 - 48 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/imf.2019.913 ii – Open Sets in Topological Spaces Amir A. Mohammed and Beyda S. Abdullah Department of Mathematics College of Education University of Mosul, Mosul, Iraq Copyright © 2019 Amir A. Mohammed and Beyda S. Abdullah. This article is distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract In this paper, we introduce a new class of open sets in a topological space called 푖푖 − open sets. We study some properties and several characterizations of this class, also we explain the relation of 푖푖 − open sets with many other classes of open sets. Furthermore, we define 푖푤 − closed sets and 푖푖푤 − closed sets and we give some fundamental properties and relations between these classes and other classes such as 푤 − closed and 훼푤 − closed sets. Keywords: 훼 − open set, 푤 − closed set, 푖 − open set 1. Introduction Throughout this paper we introduce and study the concept of 푖푖 − open sets in topological space (푋, 휏). The 푖푖 − open set is defined as follows: A subset 퐴 of a topological space (푋, 휏) is said to be 푖푖 − open if there exist an open set 퐺 in the topology 휏 of X, such that i. 퐺 ≠ ∅,푋 ii. A is contained in the closure of (A∩ 퐺) iii. interior points of A equal G. One of the classes of open sets that produce a topological space is 훼 − open. This class of open sets has been introduced in 1965 [3]. In this paper we prove that the family of 푖푖 − open sets are also produce a topological space (Theorem 2.10). The 푖푖 − open set is a generalization of many classes of open sets we mention some of them namely semi − open sets, 훼 − open sets and 푤 − open sets defined by Levine [2], Njȧstad [3] and Sundaram and John [5], respectively. Further, we study the relation of 푖푖 − open sets with the following sets: 푖 − open set, 푤 − closed set and 훼푤 − closed set introduced by Mohammed and Askander [1], Sundaram and 42 Amir A. Mohammed and Beyda S. Abdullah John [5] and Parimala et.al [4], respectively. Depending on 푖 − open and 푖푖 − open sets we define 푖푤 − closed and 푖푖푤 − closed sets. We present our work in two sections. In the first one, we define 푖푖 − open sets and we give many related examples, and we investigate the relationship with other classes of open sets. We prove some theorems to discuss their properties. In the second section, we discuss the relationship between iiw-closed sets with closed, 푤 − closed, 푖푤 − closed and 훼푤 − closed sets. Further, we present some fundamental properties of 푖푖푤 − closed sets with classes mentioned above. 2. ii-Open Sets In Topological Space In this section, we introduce and study the notion of 푖푖 − open sets in a topological space and we obtain some of its basic properties. We recall the following definitions, which are useful in the sequel. Definition 2.1 A subset 퐴 of a space (푋, 휏) is called 1- Semi − open set [2] if 퐴 ⊆ 푐푙(푖푛푡(퐴)). 2- 훼 − open set [3] if 퐴 ⊆ 푖푛푡(푐푙(푖푛푡(퐴))). 3- 푖 − open set [1] if there exist an open set 퐺 ∈ 휏(푋) such that i. 퐺 ≠ ∅, 푋. ii. 퐴 ⊆ 푐푙(퐴 ∩ 퐺). The complement of an 푖 − open set is an 푖 − closed set. 4- 푤 − closed set [5] if 푐푙(퐴) ⊆ 푈 whenever 퐴 ⊆ 푈 and 푈 is semi − open in (푋, 휏). 5- 훼푤 - closed set [4] if 푤푐푙(퐴) ⊆ 푈 whenever 퐴 ⊆ 푈 and 푈 is 훼 − open in (푋, 휏). The complement of an 훼푤 − closed set is an 훼푤 − open set. 6- 표(푋), 푠표(푋), 훼표(푋), 푖표(푋), 푤푐(푋), 훼푤푐(푋) are family of open, semi − open, 훼 − open, 푖 − open, 푤 − closed, 훼푤 − closed sets respectively. Definition 2.2 A subset 퐴 of a space (푋, 휏) is called 푖푛푡 − open set if there exist an open set 퐺 ∈ 표(푋) and 퐺 ≠ ∅, 푋, such that 푖푛푡(퐴) = 퐺. The complement of the 푖푛푡 − open set is called 푖푛푡 − closed. We denote the family of all 푖푛푡 − open sets of topological space by 푖푛푡표(푋) and the int-closed sets is denoted by 푖푛푡푐(푋). Example 2.3 Let 푋 = {푎, 푏, 푐} and 휏 = {∅, 푋, {푏}, {푏, 푐}}. Here the closed sets in (푋, 휏) are 퐶(푋, 휏) = {∅, 푋, {푎, 푐}, {푎}} 푖푛푡표(푋) = {∅, 푋, {푏}, {푎, 푏}, {푏, 푐}} 푖푛푡푐(푋) = {∅, 푋, {푎, 푐}, {푐}, {푎}} . ii – open sets in topological spaces 43 Definition 2.4 A subset 퐴 of a space (푋, 휏) is called 푖푖 − open set if there exist an open set 퐺 ∈ 표(푋), such that i. 퐺 ≠ ∅, 푋 ii. 퐴 ⊆ 푐푙(퐴 ∩ 퐺) iii. 푖푛푡(퐴) = 퐺. The complement of the 푖푖 − open set is called 푖푖 − closed set. We denote the family of all 푖푖 − open sets of topological space by 푖푖표(푋).This definition means that 퐴 is 푖푛푡 − open and 푖 − open set. Example 2.5 Let 푋 = {푎, 푏, 푐} and 휏 = {∅, 푋, {푏}, {푏, 푐}}. Here 퐶(푋, 휏) = {∅, 푋, {푎, 푐}, {푎}} 푖푛푡표(푋) = {∅, 푋, {푏}, {푎, 푏}, {푏, 푐}} 푖표(푋) = {∅, 푋, {푏}, {푐}, {푎, 푐}, {푎, 푏}, {푏, 푐}} 푖푖표(푋) = {∅, 푋, {푏}, {푎, 푏}, {푏, 푐}} Remark 2.6 Note that for a topological space (푋, 휏) every 푖푖 − open set is 푖 − open and 푖푛푡 − open. Further, every semi − open is 푖푖 − open set. But the converse is not true as shown in the following example. Example 2.7 Let 푋 = {푎, 푏, 푐} and 휏 = {∅, 푋, {푎}, {푏, 푐}}. Here 퐶(푋, 휏) = {∅, 푋, {푏, 푐}, {푎}} 푖표(푋) = {∅, 푋, {푎}, {푏}, {푐}, {푏, 푐}} 푖푛푡표(푋) = {∅, 푋, {푎}, {푏, 푐}, {푎, 푏}, {푎, 푐}} 푖푖표(푋) = 푆표(푋) = {∅, 푋, {푎}, {푏, 푐}} Let 퐴 = {푏}. Then 퐴 is not 푖푖 − open, but 퐴 is an 푖 − open set. Let 퐵 = {푎, 푏}. Then 퐵 is not 푖푖 − open. However 퐵 is 푖푛푡 − open set. Theorem 2.8 Every open set is 푖푖 − 표푝푒푛 set. Proof. Let 퐺 be open set in (푋, 휏). Since 퐺 ⊆ 푐푙(퐺 ∩ 퐺) = 푐푙(퐺), it follows that 퐺 is 푖 − open. Also, 퐺 is 푖푛푡 − open because 푖푛푡(퐺) = 퐺. Thus 퐺 is 푖푖 − open set.■ The converse of the above theorem is not true in general as shown in the following example. Example 2.9 Let 푋 = {푎, 푏, 푐} and 휏 = {∅, 푋, {푏}, {푏, 푐}}. Here 퐶(푋, 휏) = {∅, 푋, {푎, 푐}, {푎}} 푖푛푡표(푋) = {∅, 푋, {푏}, {푎, 푏}, {푏, 푐}} 44 Amir A. Mohammed and Beyda S. Abdullah 푖표(푋) = {∅, 푋, {푏}, {푐}, {푎, 푐}, {푎, 푏}, {푏, 푐}} 푖푖표(푋) = {∅, 푋, {푏}, {푎, 푏}, {푏, 푐}} Now, A= {푎, 푏}, is 푖푖 − open but 퐴 is not open. Theorem 2.10 If (푋, 휏) is a topological space then (푋, 푖푖표(푥)) is also topological space. Proof. Let 퐴 be 푖푖 − open set and let 푥 ∈ 퐴, we will prove the existence of open set, say 퐺 ∈ 표(푋) such that 푥 ∈ 퐺 ⊆ 퐴. Since 퐴 is 푖푖 − open, it follows that there exist an open set 퐺 ∈ 표(푋) such that i. 퐺 ≠ ∅, 푋 ii. 퐴 ⊆ 푐푙(퐴 ∩ 퐺) iii. 푖푛푡(퐴) = 퐺. Therefore, 푥 ∈ 퐴 implies that 푥 ∈ 푐푙(퐴) and 푥 ∈ 푐푙(퐺). If 퐺 is closed, then 푥 ∈ 퐺 ⊆ 퐴 and 퐴 is open. If 퐺 is not closed and 푥 ∉ 퐺 then 푥 ∉ 푐푙(퐺) because 퐺 is not closed. Since 푥 ∈ 퐴 implies that 푥 ∈ 푐푙(퐴) ∩ 푐푙(퐺) implies that 푥 ∈ 푐푙(퐺). This implies a contradiction. Therefore 퐴 is open.■ Example 2.11 Let 푋 = {푎, 푏, 푐} and 휏 = {∅, 푋, {푏}, {푏, 푐}}. Here 퐶(푋, 휏) = {∅, 푋, {푎, 푐}, {푎}} 푖푖표(푋) = {∅, 푋, {푏}, {푎, 푏}, {푏, 푐}} Note that (푋, 휏) is a topological space and (푋, 푖푖표(푥)) is a topological space. Theorem 2.12 Every 훼 − 표푝푒푛 set is 푖푖 − 표푝푒푛. Proof. Let (푋, 휏) be a topological space and 퐴 ⊆ 푋 be 훼 − open set. Since 퐴 ⊆ 푖푛푡(푐푙(푖푛푡(퐴))) ⊆ 푐푙(푖푛푡(퐴)). Therefore 퐴 is semi − open. Since, there exist an open set, say, 퐺 ≠ ∅, 푋 satisfying int(A) G, it follows that 푖푛푡(퐴) ⊆ 퐺 ∩ 퐴. Therefore 퐴 ⊆ 푐푙(퐴 ∩ 퐺). Thus, 퐴 is 푖 − open. We shall prove that 푖푛푡(퐴) = 퐺. Note that if 푖푛푡(퐴) ≠ 퐺, for all 퐺 ∈ 표(푋), then 푐푙(푖푛푡(퐴)) ≠ 푐푙(G). From above inclusions we conclude that 퐴 ⊆ 푐푙(푖푛푡(퐴) ∩ 퐴 ∩ 퐺). This implies that 퐴 ⊄ 푐푙(퐺). That is a contradiction. Therefore, 퐴 is 푖푖 − open set.■ The converse of the above theorem is not true in general as shown in the following example. Example 2.13 Let 푋 = {푎, 푏, 푐, 푑} and 휏 = {∅, 푋, {푎}, {푏, 푐, 푑}}. 퐶(푋, 휏) = {∅, 푋, {푎}, {푏, 푐, 푑}} 훼표(푋) = {∅, 푋, {푎}, {푏, 푐, 푑}} 푖푖표(푋) = {∅, 푋, {푎}, {푏}, {푐}, {푑}, {푏, 푐}, {푏, 푑}, {푐, 푑}, {푏, 푐, 푑}} Now, 퐴 = {푐} is 푖푖 − open but not 훼 − open. ii – open sets in topological spaces 45 Corollary 2.14 Every 훼 − 표푝푒푛 set is 푖푛푡 − 표푝푒푛. Proof. Clear.■ The converse of the above corollary is not true in general as shown in the following example. Example 2.15 Let 푋 = {푎, 푏, 푐} and 휏 = {∅, 푋, {푎}, {푏, 푐}}.
Recommended publications
  • De Rham Cohomology
    De Rham Cohomology 1. Definition of De Rham Cohomology Let X be an open subset of the plane. If we denote by C0(X) the set of smooth (i. e. infinitely differentiable functions) on X and C1(X), the smooth 1-forms on X (i. e. expressions of the form fdx + gdy where f; g 2 C0(X)), we have natural differntiation map d : C0(X) !C1(X) given by @f @f f 7! dx + dy; @x @y usually denoted by df. The kernel for this map (i. e. set of f with df = 0) is called the zeroth De Rham Cohomology of X and denoted by H0(X). It is clear that these are precisely the set of locally constant functions on X and it is a vector space over R, whose dimension is precisley the number of connected components of X. The image of d is called the set of exact forms on X. The set of pdx + qdy 2 C1(X) @p @q such that @y = @x are called closed forms. It is clear that exact forms and closed forms are vector spaces and any exact form is a closed form. The quotient vector space of closed forms modulo exact forms is called the first De Rham Cohomology and denoted by H1(X). A path for this discussion would mean piecewise smooth. That is, if γ : I ! X is a path (a continuous map), there exists a subdivision, 0 = t0 < t1 < ··· < tn = 1 and γ(t) is continuously differentiable in the open intervals (ti; ti+1) for all i.
    [Show full text]
  • Math 601 Algebraic Topology Hw 4 Selected Solutions Sketch/Hint
    MATH 601 ALGEBRAIC TOPOLOGY HW 4 SELECTED SOLUTIONS SKETCH/HINT QINGYUN ZENG 1. The Seifert-van Kampen theorem 1.1. A refinement of the Seifert-van Kampen theorem. We are going to make a refinement of the theorem so that we don't have to worry about that openness problem. We first start with a definition. Definition 1.1 (Neighbourhood deformation retract). A subset A ⊆ X is a neighbourhood defor- mation retract if there is an open set A ⊂ U ⊂ X such that A is a strong deformation retract of U, i.e. there exists a retraction r : U ! A and r ' IdU relA. This is something that is true most of the time, in sufficiently sane spaces. Example 1.2. If Y is a subcomplex of a cell complex, then Y is a neighbourhood deformation retract. Theorem 1.3. Let X be a space, A; B ⊆ X closed subspaces. Suppose that A, B and A \ B are path connected, and A \ B is a neighbourhood deformation retract of A and B. Then for any x0 2 A \ B. π1(X; x0) = π1(A; x0) ∗ π1(B; x0): π1(A\B;x0) This is just like Seifert-van Kampen theorem, but usually easier to apply, since we no longer have to \fatten up" our A and B to make them open. If you know some sheaf theory, then what Seifert-van Kampen theorem really says is that the fundamental groupoid Π1(X) is a cosheaf on X. Here Π1(X) is a category with object pints in X and morphisms as homotopy classes of path in X, which can be regard as a global version of π1(X).
    [Show full text]
  • 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..........................
    [Show full text]
  • 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).
    [Show full text]
  • The Seifert-Van Kampen Theorem Via Covering Spaces
    Treball final de grau GRAU DE MATEMÀTIQUES Facultat de Matemàtiques i Informàtica Universitat de Barcelona The Seifert-Van Kampen theorem via covering spaces Autor: Roberto Lara Martín Director: Dr. Javier José Gutiérrez Marín Realitzat a: Departament de Matemàtiques i Informàtica Barcelona, 29 de juny de 2017 Contents Introduction ii 1 Category theory 1 1.1 Basic terminology . .1 1.2 Coproducts . .6 1.3 Pushouts . .7 1.4 Pullbacks . .9 1.5 Strict comma category . 10 1.6 Initial objects . 12 2 Groups actions 13 2.1 Groups acting on sets . 13 2.2 The category of G-sets . 13 3 Homotopy theory 15 3.1 Homotopy of spaces . 15 3.2 The fundamental group . 15 4 Covering spaces 17 4.1 Definition and basic properties . 17 4.2 The category of covering spaces . 20 4.3 Universal covering spaces . 20 4.4 Galois covering spaces . 25 4.5 A relation between covering spaces and the fundamental group . 26 5 The Seifert–van Kampen theorem 29 Bibliography 33 i Introduction The Seifert-Van Kampen theorem describes a way of computing the fundamen- tal group of a space X from the fundamental groups of two open subspaces that cover X, and the fundamental group of their intersection. The classical proof of this result is done by analyzing the loops in the space X and deforming them into loops in the subspaces. For all the details of such proof see [1, Chapter I]. The aim of this work is to provide an alternative proof of this theorem using covering spaces, sets with actions of groups and category theory.
    [Show full text]
  • 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 .
    [Show full text]
  • Topology - Wikipedia, the Free Encyclopedia Page 1 of 7
    Topology - Wikipedia, the free encyclopedia Page 1 of 7 Topology From Wikipedia, the free encyclopedia Topology (from the Greek τόπος , “place”, and λόγος , “study”) is a major area of mathematics concerned with properties that are preserved under continuous deformations of objects, such as deformations that involve stretching, but no tearing or gluing. It emerged through the development of concepts from geometry and set theory, such as space, dimension, and transformation. Ideas that are now classified as topological were expressed as early as 1736. Toward the end of the 19th century, a distinct A Möbius strip, an object with only one discipline developed, which was referred to in Latin as the surface and one edge. Such shapes are an geometria situs (“geometry of place”) or analysis situs object of study in topology. (Greek-Latin for “picking apart of place”). This later acquired the modern name of topology. By the middle of the 20 th century, topology had become an important area of study within mathematics. The word topology is used both for the mathematical discipline and for a family of sets with certain properties that are used to define a topological space, a basic object of topology. Of particular importance are homeomorphisms , which can be defined as continuous functions with a continuous inverse. For instance, the function y = x3 is a homeomorphism of the real line. Topology includes many subfields. The most basic and traditional division within topology is point-set topology , which establishes the foundational aspects of topology and investigates concepts inherent to topological spaces (basic examples include compactness and connectedness); algebraic topology , which generally tries to measure degrees of connectivity using algebraic constructs such as homotopy groups and homology; and geometric topology , which primarily studies manifolds and their embeddings (placements) in other manifolds.
    [Show full text]
  • Basis (Topology), Basis (Vector Space), Ck, , Change of Variables (Integration), Closed, Closed Form, Closure, Coboundary, Cobou
    Index basis (topology), Ôç injective, ç basis (vector space), ç interior, Ôò isomorphic, ¥ ∞ C , Ôý, ÔÔ isomorphism, ç Ck, Ôý, ÔÔ change of variables (integration), ÔÔ kernel, ç closed, Ôò closed form, Þ linear, ç closure, Ôò linear combination, ç coboundary, Þ linearly independent, ç coboundary map, Þ nullspace, ç cochain complex, Þ cochain homotopic, open cover, Ôò cochain homotopy, open set, Ôý cochain map, Þ cocycle, Þ partial derivative, Ôý cohomology, Þ compact, Ôò quotient space, â component function, À range, ç continuous, Ôç rank-nullity theorem, coordinate function, Ôý relative topology, Ôò dierential, Þ resolution, ¥ dimension, ç resolution of the identity, À direct sum, second-countable, Ôç directional derivative, Ôý short exact sequence, discrete topology, Ôò smooth homotopy, dual basis, À span, ç dual space, À standard topology on Rn, Ôò exact form, Þ subspace, ç exact sequence, ¥ subspace topology, Ôò support, Ô¥ Hausdor, Ôç surjective, ç homotopic, symmetry of partial derivatives, ÔÔ homotopy, topological space, Ôò image, ç topology, Ôò induced topology, Ôò total derivative, ÔÔ Ô trivial topology, Ôò vector space, ç well-dened, â ò Glossary Linear Algebra Denition. A real vector space V is a set equipped with an addition operation , and a scalar (R) multiplication operation satisfying the usual identities. + Denition. A subset W ⋅ V is a subspace if W is a vector space under the same operations as V. Denition. A linear combination⊂ of a subset S V is a sum of the form a v, where each a , and only nitely many of the a are nonzero. v v R ⊂ v v∈S v∈S ⋅ ∈ { } Denition.Qe span of a subset S V is the subspace span S of linear combinations of S.
    [Show full text]
  • Chapter 3. Topology of the Real Numbers. 3.1
    3.1. Topology of the Real Numbers 1 Chapter 3. Topology of the Real Numbers. 3.1. Topology of the Real Numbers. Note. In this section we “topological” properties of sets of real numbers such as open, closed, and compact. In particular, we will classify open sets of real numbers in terms of open intervals. Definition. A set U of real numbers is said to be open if for all x ∈ U there exists δ(x) > 0 such that (x − δ(x), x + δ(x)) ⊂ U. Note. It is trivial that R is open. It is vacuously true that ∅ is open. Theorem 3-1. The intervals (a,b), (a, ∞), and (−∞,a) are open sets. (Notice that the choice of δ depends on the value of x in showing that these are open.) Definition. A set A is closed if Ac is open. Note. The sets R and ∅ are both closed. Some sets are neither open nor closed. Corollary 3-1. The intervals (−∞,a], [a,b], and [b, ∞) are closed sets. 3.1. Topology of the Real Numbers 2 Theorem 3-2. The open sets satisfy: n (a) If {U1,U2,...,Un} is a finite collection of open sets, then ∩k=1Uk is an open set. (b) If {Uα} is any collection (finite, infinite, countable, or uncountable) of open sets, then ∪αUα is an open set. Note. An infinite intersection of open sets can be closed. Consider, for example, ∞ ∩i=1(−1/i, 1 + 1/i) = [0, 1]. Theorem 3-3. The closed sets satisfy: (a) ∅ and R are closed. (b) If {Aα} is any collection of closed sets, then ∩αAα is closed.
    [Show full text]
  • HOMOTOPY THEORY for BEGINNERS Contents 1. Notation
    HOMOTOPY THEORY FOR BEGINNERS JESPER M. MØLLER Abstract. This note contains comments to Chapter 0 in Allan Hatcher's book [5]. Contents 1. Notation and some standard spaces and constructions1 1.1. Standard topological spaces1 1.2. The quotient topology 2 1.3. The category of topological spaces and continuous maps3 2. Homotopy 4 2.1. Relative homotopy 5 2.2. Retracts and deformation retracts5 3. Constructions on topological spaces6 4. CW-complexes 9 4.1. Topological properties of CW-complexes 11 4.2. Subcomplexes 12 4.3. Products of CW-complexes 12 5. The Homotopy Extension Property 14 5.1. What is the HEP good for? 14 5.2. Are there any pairs of spaces that have the HEP? 16 References 21 1. Notation and some standard spaces and constructions In this section we fix some notation and recollect some standard facts from general topology. 1.1. Standard topological spaces. We will often refer to these standard spaces: • R is the real line and Rn = R × · · · × R is the n-dimensional real vector space • C is the field of complex numbers and Cn = C × · · · × C is the n-dimensional complex vector space • H is the (skew-)field of quaternions and Hn = H × · · · × H is the n-dimensional quaternion vector space • Sn = fx 2 Rn+1 j jxj = 1g is the unit n-sphere in Rn+1 • Dn = fx 2 Rn j jxj ≤ 1g is the unit n-disc in Rn • I = [0; 1] ⊂ R is the unit interval • RP n, CP n, HP n is the topological space of 1-dimensional linear subspaces of Rn+1, Cn+1, Hn+1.
    [Show full text]
  • Chapter I Topology Preliminaries
    Chapter I Topology Preliminaries In this chapter we discuss (with various degrees of depth) several fundamental topological concepts. The fact that the material is quite extensive is based on the point of view that any competent mathematician - regardless of expertise area - should know at least “this much topology,” and this chapter is thought to be the “last push” in the attempt of reaching this goal. In particular, Section 2 offers an exposition that is (unfortunately) seldom covered in many topology texts. 1. Review of basic topology concepts In this lecture we review some basic notions from topology, the main goal being to set up the language. Except for one result (Urysohn Lemma) there will be no proofs. Definitions. A topology on a (non-empty) set X is a family T of subsets of X, which are called open sets, with the following properties: (top1): both the empty set ∅ and the total set X are open; (top2): an arbitrary union of open sets is open; (top3): a finite intersection of open sets is open. In this case the system (X, T ) is called a topological space. If (X, T ) is a topological space and x ∈ X is an element in X, a subset N ⊂ X is called a neighborhood of x if there exists some open set D such that x ∈ D ⊂ N. A collection N of neighborhoods of x is called a basic system of neighborhoods of x, if for any neighborhood M of x, there exists some neighborhood N in N such that x ∈ N ⊂ M. A collection V of neighborhoods of x is called a fundamental system of neighbor- hoods of x if for any neighborhood M of x there exists a finite sequence V1,V2,...,Vn of neighborhoods in V such that x ∈ V1 ∩ V2 ∩ · · · ∩ Vn ⊂ M.
    [Show full text]
  • 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).
    [Show full text]