Big Homotopy Theory
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3. Closed Sets, Closures, and Density
3. Closed sets, closures, and density 1 Motivation Up to this point, all we have done is define what topologies are, define a way of comparing two topologies, define a method for more easily specifying a topology (as a collection of sets generated by a basis), and investigated some simple properties of bases. At this point, we will start introducing some more interesting definitions and phenomena one might encounter in a topological space, starting with the notions of closed sets and closures. Thinking back to some of the motivational concepts from the first lecture, this section will start us on the road to exploring what it means for two sets to be \close" to one another, or what it means for a point to be \close" to a set. We will draw heavily on our intuition about n convergent sequences in R when discussing the basic definitions in this section, and so we begin by recalling that definition from calculus/analysis. 1 n Definition 1.1. A sequence fxngn=1 is said to converge to a point x 2 R if for every > 0 there is a number N 2 N such that xn 2 B(x) for all n > N. 1 Remark 1.2. It is common to refer to the portion of a sequence fxngn=1 after some index 1 N|that is, the sequence fxngn=N+1|as a tail of the sequence. In this language, one would phrase the above definition as \for every > 0 there is a tail of the sequence inside B(x)." n Given what we have established about the topological space Rusual and its standard basis of -balls, we can see that this is equivalent to saying that there is a tail of the sequence inside any open set containing x; this is because the collection of -balls forms a basis for the usual topology, and thus given any open set U containing x there is an such that x 2 B(x) ⊆ U. -
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 . -
Algebraic Topology
Algebraic Topology Len Evens Rob Thompson Northwestern University City University of New York Contents Chapter 1. Introduction 5 1. Introduction 5 2. Point Set Topology, Brief Review 7 Chapter 2. Homotopy and the Fundamental Group 11 1. Homotopy 11 2. The Fundamental Group 12 3. Homotopy Equivalence 18 4. Categories and Functors 20 5. The fundamental group of S1 22 6. Some Applications 25 Chapter 3. Quotient Spaces and Covering Spaces 33 1. The Quotient Topology 33 2. Covering Spaces 40 3. Action of the Fundamental Group on Covering Spaces 44 4. Existence of Coverings and the Covering Group 48 5. Covering Groups 56 Chapter 4. Group Theory and the Seifert{Van Kampen Theorem 59 1. Some Group Theory 59 2. The Seifert{Van Kampen Theorem 66 Chapter 5. Manifolds and Surfaces 73 1. Manifolds and Surfaces 73 2. Outline of the Proof of the Classification Theorem 80 3. Some Remarks about Higher Dimensional Manifolds 83 4. An Introduction to Knot Theory 84 Chapter 6. Singular Homology 91 1. Homology, Introduction 91 2. Singular Homology 94 3. Properties of Singular Homology 100 4. The Exact Homology Sequence{ the Jill Clayburgh Lemma 109 5. Excision and Applications 116 6. Proof of the Excision Axiom 120 3 4 CONTENTS 7. Relation between π1 and H1 126 8. The Mayer-Vietoris Sequence 128 9. Some Important Applications 131 Chapter 7. Simplicial Complexes 137 1. Simplicial Complexes 137 2. Abstract Simplicial Complexes 141 3. Homology of Simplicial Complexes 143 4. The Relation of Simplicial to Singular Homology 147 5. Some Algebra. The Tensor Product 152 6. -
Derived Smooth Manifolds
DERIVED SMOOTH MANIFOLDS DAVID I. SPIVAK Abstract. We define a simplicial category called the category of derived man- ifolds. It contains the category of smooth manifolds as a full discrete subcat- egory, and it is closed under taking arbitrary intersections in a manifold. A derived manifold is a space together with a sheaf of local C1-rings that is obtained by patching together homotopy zero-sets of smooth functions on Eu- clidean spaces. We show that derived manifolds come equipped with a stable normal bun- dle and can be imbedded into Euclidean space. We define a cohomology theory called derived cobordism, and use a Pontrjagin-Thom argument to show that the derived cobordism theory is isomorphic to the classical cobordism theory. This allows us to define fundamental classes in cobordism for all derived man- ifolds. In particular, the intersection A \ B of submanifolds A; B ⊂ X exists on the categorical level in our theory, and a cup product formula [A] ^ [B] = [A \ B] holds, even if the submanifolds are not transverse. One can thus consider the theory of derived manifolds as a categorification of intersection theory. Contents 1. Introduction 1 2. The axioms 8 3. Main results 14 4. Layout for the construction of dMan 21 5. C1-rings 23 6. Local C1-ringed spaces and derived manifolds 26 7. Cotangent Complexes 32 8. Proofs of technical results 39 9. Derived manifolds are good for doing intersection theory 50 10. Relationship to similar work 52 References 55 1. Introduction Let Ω denote the unoriented cobordism ring (though what we will say applies to other cobordism theories as well, e.g. -
16. Compactness
16. Compactness 1 Motivation While metrizability is the analyst's favourite topological property, compactness is surely the topologist's favourite topological property. Metric spaces have many nice properties, like being first countable, very separative, and so on, but compact spaces facilitate easy proofs. They allow you to do all the proofs you wished you could do, but never could. The definition of compactness, which we will see shortly, is quite innocuous looking. What compactness does for us is allow us to turn infinite collections of open sets into finite collections of open sets that do essentially the same thing. Compact spaces can be very large, as we will see in the next section, but in a strong sense every compact space acts like a finite space. This behaviour allows us to do a lot of hands-on, constructive proofs in compact spaces. For example, we can often take maxima and minima where in a non-compact space we would have to take suprema and infima. We will be able to intersect \all the open sets" in certain situations and end up with an open set, because finitely many open sets capture all the information in the whole collection. We will specifically prove an important result from analysis called the Heine-Borel theorem n that characterizes the compact subsets of R . This result is so fundamental to early analysis courses that it is often given as the definition of compactness in that context. 2 Basic definitions and examples Compactness is defined in terms of open covers, which we have talked about before in the context of bases but which we formally define here. -
Math 396. Interior, Closure, and Boundary We Wish to Develop Some Basic Geometric Concepts in Metric Spaces Which Make Precise C
Math 396. Interior, closure, and boundary We wish to develop some basic geometric concepts in metric spaces which make precise certain intuitive ideas centered on the themes of \interior" and \boundary" of a subset of a metric space. One warning must be given. Although there are a number of results proven in this handout, none of it is particularly deep. If you carefully study the proofs (which you should!), then you'll see that none of this requires going much beyond the basic definitions. We will certainly encounter some serious ideas and non-trivial proofs in due course, but at this point the central aim is to acquire some linguistic ability when discussing some basic geometric ideas in a metric space. Thus, the main goal is to familiarize ourselves with some very convenient geometric terminology in terms of which we can discuss more sophisticated ideas later on. 1. Interior and closure Let X be a metric space and A X a subset. We define the interior of A to be the set ⊆ int(A) = a A some Br (a) A; ra > 0 f 2 j a ⊆ g consisting of points for which A is a \neighborhood". We define the closure of A to be the set A = x X x = lim an; with an A for all n n f 2 j !1 2 g consisting of limits of sequences in A. In words, the interior consists of points in A for which all nearby points of X are also in A, whereas the closure allows for \points on the edge of A". -
Cantor and Continuity
Cantor and Continuity Akihiro Kanamori May 1, 2018 Georg Cantor (1845-1919), with his seminal work on sets and number, brought forth a new field of inquiry, set theory, and ushered in a way of proceeding in mathematics, one at base infinitary, topological, and combinatorial. While this was the thrust, his work at the beginning was embedded in issues and concerns of real analysis and contributed fundamentally to its 19th Century rigorization, a development turning on limits and continuity. And a continuing engagement with limits and continuity would be very much part of Cantor's mathematical journey, even as dramatically new conceptualizations emerged. Evolutionary accounts of Cantor's work mostly underscore his progressive ascent through set- theoretic constructs to transfinite number, this as the storied beginnings of set theory. In this article, we consider Cantor's work with a steady focus on con- tinuity, putting it first into the context of rigorization and then pursuing the increasingly set-theoretic constructs leading to its further elucidations. Beyond providing a narrative through the historical record about Cantor's progress, we will bring out three aspectual motifs bearing on the history and na- ture of mathematics. First, with Cantor the first mathematician to be engaged with limits and continuity through progressive activity over many years, one can see how incipiently metaphysical conceptualizations can become systemati- cally transmuted through mathematical formulations and results so that one can chart progress on the understanding of concepts. Second, with counterweight put on Cantor's early career, one can see the drive of mathematical necessity pressing through Cantor's work toward extensional mathematics, the increasing objectification of concepts compelled, and compelled only by, his mathematical investigation of aspects of continuity and culminating in the transfinite numbers and set theory. -
Lecture 5: Closed Sets, and an Introduction to Continuous Functions
Lecture 5: closed sets, and an introduction to continuous functions Saul Glasman September 16, 2016 Clarification on URL. To warm up today, let's talk about one more example of a topology. Definition 1. Let X be a set. The cofinite topology Tfc on X is the following class of subsets: U 2 Tfc if and only if U = ; or X n U is finite. In order to prove that Tfc is a topology, it'll be convenient to introduce closed sets in a topological space. The definition is simple: Definition 2. Let X be a topological space. A set Z ⊆ X is called closed if its complement Z n X is open. We'll talk a lot more about closed sets later, but for now you should think of closed sets as sets which are in \sharp focus": they have no fuzzy edges. Let's have some examples of closed sets. Example 3. Since X n ; = X and X n X = ;, ; and X are always closed. Example 4. In R, the \closed interval" [a; b] = fr 2 R j a ≤ r ≤ bg is a closed set. To show this, we need to show that the complement R n [a; b] = (−∞; a) [ (b; 1) = fr 2 R j r < a or r > bg is open. But I can write this as a union of open intervals: [ (−∞; a) = (a − n; a) n2N and similarly for (b; 1). In particular, we can take a = b. Then the closed interval [a; a] is the single point fag, and so fag is a closed subset of R. -
Topological Dynamics: a Survey
Topological Dynamics: A Survey Ethan Akin Mathematics Department The City College 137 Street and Convent Avenue New York City, NY 10031, USA September, 2007 Topological Dynamics: Outline of Article Glossary I Introduction and History II Dynamic Relations, Invariant Sets and Lyapunov Functions III Attractors and Chain Recurrence IV Chaos and Equicontinuity V Minimality and Multiple Recurrence VI Additional Reading VII Bibliography 1 Glossary Attractor An invariant subset for a dynamical system such that points su±ciently close to the set remain close and approach the set in the limit as time tends to in¯nity. Dynamical System A model for the motion of a system through time. The time variable is either discrete, varying over the integers, or continuous, taking real values. Our systems are deterministic, rather than stochastic, so the the future states of the system are functions of the past. Equilibrium An equilibrium, or a ¯xed point, is a point which remains at rest for all time. Invariant Set A subset is invariant if the orbit of each point of the set remains in the set at all times, both positive and negative. The set is + invariant, or forward invariant, if the forward orbit of each such point remains in the set. Lyapunov Function A continuous, real-valued function on the state space is a Lyapunov function when it is non-decreasing on each orbit as time moves forward. Orbit The orbit of an initial position is the set of points through which the system moves as time varies positively and negatively through all values. The forward orbit is the subset associated with positive times. -
Introductory Topics in the Mathematical Theory of Continuum Mechanics - R J Knops and R
CONTINUUM MECHANICS - Introductory Topics In The Mathematical Theory Of Continuum Mechanics - R J Knops and R. Quintanilla INTRODUCTORY TOPICS IN THE MATHEMATICAL THEORY OF CONTINUUM MECHANICS R J Knops School of Mathematical and Computer Sciences, Heriot-Watt University, UK R. Quintanilla Department of Applied Mathematics II, UPC Terrassa, Spain Keywords: Classical and non-classical continuum thermomechanics, well- and ill- posedness; non-linear, linear, linearized, initial and boundary value problems, existence, uniqueness, dynamic and spatial stability, continuous data dependence. Contents I. GENERAL PRINCIPLES 1. Introduction 2. The well-posed problem II. BASIC CONTINUUM MECHANICS 3. Introduction 4. Material description 5. Spatial description 6. Constitutive theories III. EXAMPLE: HEAT CONDUCTION 7. Introduction. Existence and uniqueness 8. Continuous dependence. Stability 9. Backward heat equation. Ill-posed problems 10. Non-linear heat conduction 11. Infinite thermal wave speeds IV. CLASSICAL THEORIES 12. Introduction 13. Thermoviscous flow. Navier-Stokes Fluid 14. Linearized and linear elastostatics 15. Linearized Elastodynamics 16. LinearizedUNESCO and linear thermoelastostatics – EOLSS 17. Linearized and linear thermoelastodynamics 18. Viscoelasticity 19. Non-linear Elasticity 20. Non-linearSAMPLE thermoelasticity and thermoviscoelasticity CHAPTERS V. NON-CLASSICAL THEORIES 21. Introduction 22. Isothermal models 23. Thermal Models Glossary Bibliography Biographical sketches ©Encyclopedia of Life Support Systems (EOLSS) CONTINUUM MECHANICS - Introductory Topics In The Mathematical Theory Of Continuum Mechanics - R J Knops and R. Quintanilla Summary Qualitative properties of well-posedness and ill-posedness are examined for problems in the equilibrium and dynamic classical non-linear theories of Navier-Stokes fluid flow and elasticity. These serve as prototypes of more general theories, some of which are also discussed. The article is reasonably self-contained. -
Topology JonPaul Cox Connected Spaces May 11, 2016
Topology JonPaul Cox Connected Spaces May 11, 2016 Connected Spaces JonPaul Cox 5/11/16 6th Period Topology Parallels Between Calculus and Topology Intermediate Value Theorem If is continuous and if r is a real number between f(a) and f(b), then there exists an element such that f(c) = r. Maximum Value Theorem If is continuous, then there exists an element such that for every . Uniform Continuity Theorem If is continuous, then given > 0, there exists > 0 such that for every pair of numbers , of [a,b] for which . 1 Topology JonPaul Cox Connected Spaces May 11, 2016 Parallels Between Calculus and Topology Intermediate Value Theorem If is continuous and if r is a real number between f(a) and f(b), then there exists an element such that f(c) = r. Connected Spaces A space can be "separated" if it can be broken up into two disjoint, open parts. Otherwise it is connected. If the set is not separated, it is connected, and vice versa. 2 Topology JonPaul Cox Connected Spaces May 11, 2016 Connected Spaces Let X be a topological space. A separation of X is a pair of disjoint, nonempty open sets of X whose union is X. E.g. Connected Spaces A space is connected if and only if the only subsets of X that are both open and closed in X are and X itself. 3 Topology JonPaul Cox Connected Spaces May 11, 2016 Subspace Topology Let X be a topological space with topology . If Y is a subset of X (I.E. -
Gineering and Technology
ISSN(Online): 2319-8753 ISSN (Print): 2347-6710 International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 4, Issue 6, June 2015 훙g** - Closed Sets In Topological Spaces N. Balamani1, A.Parvathi 2 Assistant Professor of Mathematics, Avinashilingam Institute for Home Science and Higher Education for Women University, Coimbatore, Tamil Nadu, India1 Professor of Mathematics, Avinashilingam Institute for Home Science and Higher Education for Women University, Coimbatore, Tamil Nadu, India2 ABSTRACT: In this paper we introduce and study a new class of generalized closed sets called ψg**-closed sets in topological spaces and investigate some of the basic properties. We analyse the relation between ψg**- closed sets with already existing closed sets. The class of ψg**- closed sets is properly placed between the classes of ψ- closed sets and the class of ψg- closed sets. KEYWORDS: g-closed sets, g** - closed sets, 훙g - closed sets and 훙g**- closed sets I. INTRODUCTION Levine [6] introduced generalized closed sets (briefly g-closed sets) in topological spaces and studied their basic properties. Veerakumar [15] introduced and studied ψ- closed sets. Veerakumar [16] introduced g*-closed sets in topological spaces and studied their properties. Pauline Mary Helan et.al [11] introduced and studied g**- closed sets in topological spaces. The aim of this paper is to introduce a new class of generalized closed sets called ψg**- closed sets. II. PRELIMINARIES Definition 2.1 A subset A of a topological space (X,τ) is called (i) Regular open set [14] if A = int(cl A ) (ii) Semi-open set [5] if A ⊆ cl(int A ) (iii) -open set [10] if A ⊆ int(cl int (A )) (iv) Pre-open set [9] if A ⊆ int(cl A ) (v) semi pre-open set [1] if A ⊆ cl(int(cl(A))) The complements of the above mentioned sets are called regular closed, semi-closed, α -closed, pre-closed and semi pre-closed sets respectively.