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Topology-Final.Pdf 1 TOPOLOGY M.A. Mathematics (Previous) PAPER-III Directorate of Distance Education Maharshi Dayanand University ROHTAK – 124 001 2 Copyright © 2003, Maharshi Dayanand University, ROHTAK All Rights Reserved. No part of this publication may be reproduced or stored in a retrieval system or trans- mitted in any form or by any means; electronic, mechanical, photocopying, recording or otherwise, without the written permission of the copyright holder. Maharshi Dayanand University ROHTAK – 124 001 Developed & Produced by EXCEL BOOKS PVT. LTD., A-45 Naraina, Phase 1, New Delhi-110028 3 Contents Chapter 1 Toplogical Spaces 5 Chapter 2 Connectedness 30 Chapter 3 Compactness and Continuous Functions 38 Chapter 4 Separation Axiom (I) and Countability Axioms 49 Chapter 5 Separation Axiom (Part II) 63 Chapter 6 Embedding and Metrization 81 Chapter 7 Product Topological Spaces 87 Chapter 8 Nets & Filters 98 Chapter 9 The Fundamental Group and Covering Spaces 118 Chapter 10 Paracompact Spaces 143 4 M.A. (Previous) TOPOLOGY Paper-III M.Marks: 100 Time: 3 Hrs. Note: Question paper will consist of three sections. Section-I consisting of one question with ten parts of 2 marks each covering whole of the syllabus shall be compulsory. From Section-II, 10 questions to be set selecting two questions from each unit. The candidate will be required to attempt any seven questions each of five marks. Section-III, five questions to be set, one from each unit. The candidate will be re- quired to attempt any three questions each of fifteen marks. Unit-I Definition and examples of topological spaces, closed sets and closure, dense subsets. Neighbourhoods interior Exterior and boundary operations, Accumulation points and Derived sets. Bases and subbase. Subspaces and relative topology. Alternative method of defining a topology in terms of Kuratowski closure operator and neighbourhood systems. Continuous functions and homoemorphisms. Connected spaces. Connectedness on the real time. Components, Locally connected spaces. Unit-II Compactness, continuous functions and compact sets. Basic properties of compactness and finite intersection property. Sequentially and countably compact sets, Local compactness and one point compactification. Separation axioms T0, T1 and T2 spaces, Their characterization and basic properties, Convergence on T0 space.First and second countable spaces, Lindelof's Theorems, Separable spaces and separability. Unit-III Regular and normal spaces, Urysohn's Lemma and Tietze Extension Theorem, T3 and T4 spaces, Complete regularity and complete normality, T3/½ and T5 spaces. Embedding and Metrization. Embedding Lemma and Tychonoff embedding Urysohn's Metrization Theorem. Unit-IV Product topological spaces, Projection mapppings, Tychonoff product topology in terms of standard subbases and its characterization, Separation axioms and product spaces, Connectedness, locally connectedness and Com- pactness of product spaces. Product space as first axiom space. Nets and filters. Topology and convergence of nets. Hausdorffness and nets. Compactness and nets. Filters and their convergence. Canonical way of converting nets to filters and vice-versa. ultra filters and compactness. Stone-Cech compactification. Unit-V Homotopy of paths, Fundamental group, Covering spaces, The fundamental group of the circle and fundamental theorem of algebra. Covering of a space, local finiteness, paracompact spaces, Michaell theorem on characterization of paracompactness in regular space, Paracompactness as normal, Nagata-Smirnov Metrization theorem. TOPOLOGY 5 TOPOLOGY The word topology is derived from two Greek words, topos meaning surface and logs meaning discourse or study. Topology thus literally means the study of surfaces or the science of position. The subject of topology can now be defined as the study of all topological properties of topological spaces. A topological property is a property which if possessed by a topological space X, is also possessed by every homeomorphic image of X. If very roughly, we think of a topological space as a general type of geometric configuration, say, a diagram drawn on a sheet of rubber, then a homemorphism may be thought of as any deformation of this diagram (by stretching bending etc.) which does not tear the sheet. A circle can be deformed in this way into an ellipse, a triangle, or a square but not into a figure eight, a horse shoe or a single point. Thus a topological property would then be any property of the diagram which is invariant under (or unchanged by) such a deformation. Distances, angles and the like are not topological properties because they can be altered by suitable non-tearing deformations. Due to these reasons, topology is often described to non-mathematicians as “rubber sheet geometry”. Maurice Frechet (1878-1973) was the first to extend topological considerations beyond Euclidean spaces. He introduced metric spaces in 1906 in a context that permitted one to consider abstract objects and not just real numbers or n-tupls of real numbers. Topology emerged as a coherent discipline in 1914 when Felix Hausdorff (1868-1942) published his classic treatise Grundzuge der Mengenlehre. Hausdorff defined a topological space in terms of neighbourhoods of member sof a set. 6 TOPOLOGICAL SPACES 1 TOPOLOGICAL SPACES We begin with the study of topology with a brief motivational introduction to metric spaces. The ideas of metric and metric spaces are abstractions of the concept of distance in Euclidean space. These abstractions are fundamental and useful in all branches of mathematics. Definition. A metric on a set X is a function d : X×X→R that satisfies the following conditions. (a) d(x, y) ≥ 0 for all x, y ∈X (b) d(x, y) = 0 if and only if x = y (c) d(x, y) = d (y, x) for all x, y ∈ X. (d) d(x, z) ≤ d(x, y) + d(y, z) for all x, y, z ∈X. If d is a metric on a set X, ordered pair (X, d) is called a metric space and if x, y∈X, Then d(x, y) is the distance from x to y. Metric Space Note that a metric space is simply a set together with a distance function on the set. The function d : R×R→R defined by d(x, y) = |x−y| satisfies the four conditions of the definition and hence this function is a metric on R. It is called the usual metric on R. Also the function d : R2 2 2 2 2 × R →R defined by d{(x1 x2), (y1, y2)} = (x1 − x 2 ) + (y1 − y2 ) is called the usual metric on R . Definition. A subset U of a metric space (X, D) is open if for each x ∈ U, there is an open ball Bd(x, ∈) such that Bd(x, ∈) ⊆ U. The open subsets of a metric space (X, d) have the following properties. (a) X and φ are open sets (b) The union of any collection of open sets is open. (c) The intersection of any finite collection of open sets is open. Metrizable A metrizable space is a topological space X with the property that there exists at least one metric on the set X whose class of generated open sets is precisely the given topology i.e. it is a topological space whose topology is generated by some metric. But metric space is a set with a metric on it. The following example shows that there are topological spaces that are not metrizable. Example. Let X be a set with at least two members and T be the trivial topology on X, then (X, T) is not metrizable. Definition and examples of Topological spaces Definition. A topological space is a pair (X, T) consisting of a set X and a family T of subsets of X satisfying the following axioms : (01) φ, X∈T (02) The intersection of any finite number of sets in T is in T. TOPOLOGY 7 (03) Any union (countable or not) of sets in T is in T. The set X will be called a space, its elements points of the space and the subsets of X belonging to the family T, sets open in the space. The collection T is called a topology for X. Axioms (01)→(03) of the family of open sets can be formulated in the following manner (01) The empty set and the whole space are open (02) The intersection of two open sets is open (03) The union of arbitrary many open sets is an open set. Examples of Topological Spaces 1. Example. Let X {a, b, c, d, e}. Consider the following classes of subsets of X . S1 = {φ, X, {a}, {c, d} {a, c, d}, {b c, d e}} S2 = {φ, X, {a}, {c, d}, {a, c, d}, {b, c, d}} S3 = {φ, X, {a}, {c, d}, {a, c, d}, {a, b, d, e}} We observe that S, is a topology on X since it satisfies the three axioms. But S2 is not a topology on X since the union {a, c, d} ∪ {b, c, d} = {a, b, c, d} of two members of S2 is not in S2 and so S2 does not satisfy the third axiom. Similarly it can be seen that S3 is not a topology on X since the intersection {a, c, d} ∩ {a, b, d, e} = {a, d} of two sets in S3 does not belong to S3 and so S3 does not satisfy the second axiom 2. Example. A metric space is a special kind of topological space. The open sets being defined as usual the axioms (01) − (03) hold since (01) φ and X in a metric space (X, d) are open. (02) The intersection of any finite number of open sets in (X, d) is open. (03) Any union (countable or not) of open sets in (X, d) is open. This topology defined on metric space is called usual topology on a metric space. 3. Example. Let D denote the class of all subsets of X.
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