A Candidate for the Generalised Real Line
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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. -
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). -
MATH 3210 Metric Spaces
MATH 3210 Metric spaces University of Leeds, School of Mathematics November 29, 2017 Syllabus: 1. Definition and fundamental properties of a metric space. Open sets, closed sets, closure and interior. Convergence of sequences. Continuity of mappings. (6) 2. Real inner-product spaces, orthonormal sequences, perpendicular distance to a subspace, applications in approximation theory. (7) 3. Cauchy sequences, completeness of R with the standard metric; uniform convergence and completeness of C[a; b] with the uniform metric. (3) 4. The contraction mapping theorem, with applications in the solution of equations and differential equations. (5) 5. Connectedness and path-connectedness. Introduction to compactness and sequential compactness, including subsets of Rn. (6) LECTURE 1 Books: Victor Bryant, Metric spaces: iteration and application, Cambridge, 1985. M. O.´ Searc´oid,Metric Spaces, Springer Undergraduate Mathematics Series, 2006. D. Kreider, An introduction to linear analysis, Addison-Wesley, 1966. 1 Metrics, open and closed sets We want to generalise the idea of distance between two points in the real line, given by d(x; y) = jx − yj; and the distance between two points in the plane, given by p 2 2 d(x; y) = d((x1; x2); (y1; y2)) = (x1 − y1) + (x2 − y2) : to other settings. [DIAGRAM] This will include the ideas of distances between functions, for example. 1 1.1 Definition Let X be a non-empty set. A metric on X, or distance function, associates to each pair of elements x, y 2 X a real number d(x; y) such that (i) d(x; y) ≥ 0; and d(x; y) = 0 () x = y (positive definite); (ii) d(x; y) = d(y; x) (symmetric); (iii) d(x; z) ≤ d(x; y) + d(y; z) (triangle inequality). -
Euclidean Space - Wikipedia, the Free Encyclopedia Page 1 of 5
Euclidean space - Wikipedia, the free encyclopedia Page 1 of 5 Euclidean space From Wikipedia, the free encyclopedia In mathematics, Euclidean space is the Euclidean plane and three-dimensional space of Euclidean geometry, as well as the generalizations of these notions to higher dimensions. The term “Euclidean” distinguishes these spaces from the curved spaces of non-Euclidean geometry and Einstein's general theory of relativity, and is named for the Greek mathematician Euclid of Alexandria. Classical Greek geometry defined the Euclidean plane and Euclidean three-dimensional space using certain postulates, while the other properties of these spaces were deduced as theorems. In modern mathematics, it is more common to define Euclidean space using Cartesian coordinates and the ideas of analytic geometry. This approach brings the tools of algebra and calculus to bear on questions of geometry, and Every point in three-dimensional has the advantage that it generalizes easily to Euclidean Euclidean space is determined by three spaces of more than three dimensions. coordinates. From the modern viewpoint, there is essentially only one Euclidean space of each dimension. In dimension one this is the real line; in dimension two it is the Cartesian plane; and in higher dimensions it is the real coordinate space with three or more real number coordinates. Thus a point in Euclidean space is a tuple of real numbers, and distances are defined using the Euclidean distance formula. Mathematicians often denote the n-dimensional Euclidean space by , or sometimes if they wish to emphasize its Euclidean nature. Euclidean spaces have finite dimension. Contents 1 Intuitive overview 2 Real coordinate space 3 Euclidean structure 4 Topology of Euclidean space 5 Generalizations 6 See also 7 References Intuitive overview One way to think of the Euclidean plane is as a set of points satisfying certain relationships, expressible in terms of distance and angle. -
Chapter P Prerequisites Course Number
Chapter P Prerequisites Course Number Section P.1 Review of Real Numbers and Their Properties Instructor Objective: In this lesson you learned how to represent, classify, and Date order real numbers, and to evaluate algebraic expressions. Important Vocabulary Define each term or concept. Real numbers The set of numbers formed by joining the set of rational numbers and the set of irrational numbers. Inequality A statement that represents an order relationship. Absolute value The magnitude or distance between the origin and the point representing a real number on the real number line. I. Real Numbers (Page 2) What you should learn How to represent and A real number is rational if it can be written as . the ratio classify real numbers p/q of two integers, where q ¹ 0. A real number that cannot be written as the ratio of two integers is called irrational. The point 0 on the real number line is the origin . On the number line shown below, the numbers to the left of 0 are negative . The numbers to the right of 0 are positive . 0 Every point on the real number line corresponds to exactly one real number. Example 1: Give an example of (a) a rational number (b) an irrational number Answers will vary. For example, (a) 1/8 = 0.125 (b) p » 3.1415927 . II. Ordering Real Numbers (Pages 3-4) What you should learn How to order real If a and b are real numbers, a is less than b if b - a is numbers and use positive. inequalities Larson/Hostetler Trigonometry, Sixth Edition Student Success Organizer IAE Copyright © Houghton Mifflin Company. -
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. -
On the Topological Aspects of the Theory of Represented Spaces∗
On the topological aspects of the theory of represented spaces∗ Arno Pauly Clare College University of Cambridge, United Kingdom [email protected] Represented spaces form the general setting for the study of computability derived from Turing ma- chines. As such, they are the basic entities for endeavors such as computable analysis or computable measure theory. The theory of represented spaces is well-known to exhibit a strong topological flavour. We present an abstract and very succinct introduction to the field; drawing heavily on prior work by ESCARDO´ ,SCHRODER¨ , and others. Central aspects of the theory are function spaces and various spaces of subsets derived from other represented spaces, and – closely linked to these – properties of represented spaces such as compactness, overtness and separation principles. Both the derived spaces and the properties are introduced by demanding the computability of certain mappings, and it is demonstrated that typically various interesting mappings induce the same property. 1 Introduction ∗ Just as numberings provide a tool to transfer computability from N (or f0;1g ) to all sorts of countable structures; representations provide a means to introduce computability on structures of the cardinality of the continuum based on computability on Cantor space f0;1gN. This is of course essential for com- n m k n m putable analysis [66], dealing with spaces such as R, C (R ;R ), C (R ;R ) or general Hilbert spaces [8]. Computable measure theory (e.g. [65, 58, 44, 30, 21]), or computability on the set of countable ordinals [39, 48] likewise rely on representations as foundation. Essentially, by equipping a set with a representation, we arrive at a represented space – to some extent1 the most general structure carrying a notion of computability that is derived from Turing ma- chines2. -
Section 27. Compact Subspaces of the Real Line
27. Compact Subspaces of the Real Line 1 Section 27. Compact Subspaces of the Real Line Note. As mentioned in the previous section, the Heine-Borel Theorem states that a set of real numbers is compact if and only if it is closed and bounded. When reading Munkres, beware that when he uses the term “interval” he means a bounded interval. In these notes we follow the more traditional analysis terminology and we explicitly state “closed and bounded” interval when dealing with compact intervals of real numbers. Theorem 27.1. Let X be a simply ordered set having the least upper bound property. In the order topology, each closed and bounded interval X is compact. Corollary 27.2. Every closed and bounded interval [a,b] R (where R has the ⊂ standard topology) is compact. Note. We can quickly get half of the Heine-Borel Theorem with the following. Corollary 27.A. Every closed and bounded set in R (where R has the standard topology) is compact. Note. The following theorem classifies compact subspaces of Rn under the Eu- clidean metric (and under the square metric). Recall that the standard topology 27. Compact Subspaces of the Real Line 2 on R is the same as the metric topology under the Euclidean metric (see Exam- ple 1 of Section 14), so this theorem includes and extends the previous corollary. Therefore we (unlike Munkres) call this the Heine-Borel Theorem. Theorem 27.3. The Heine-Borel Theorem. A subspace A of Rn is compact if and only if it is closed and is bounded in the Euclidean metric d or the square metric ρ. -
Computability and Analysis: the Legacy of Alan Turing
Computability and analysis: the legacy of Alan Turing Jeremy Avigad Departments of Philosophy and Mathematical Sciences Carnegie Mellon University, Pittsburgh, USA [email protected] Vasco Brattka Faculty of Computer Science Universit¨at der Bundeswehr M¨unchen, Germany and Department of Mathematics and Applied Mathematics University of Cape Town, South Africa and Isaac Newton Institute for Mathematical Sciences Cambridge, United Kingdom [email protected] October 31, 2012 1 Introduction For most of its history, mathematics was algorithmic in nature. The geometric claims in Euclid’s Elements fall into two distinct categories: “problems,” which assert that a construction can be carried out to meet a given specification, and “theorems,” which assert that some property holds of a particular geometric configuration. For example, Proposition 10 of Book I reads “To bisect a given straight line.” Euclid’s “proof” gives the construction, and ends with the (Greek equivalent of) Q.E.F., for quod erat faciendum, or “that which was to be done.” arXiv:1206.3431v2 [math.LO] 30 Oct 2012 Proofs of theorems, in contrast, end with Q.E.D., for quod erat demonstran- dum, or “that which was to be shown”; but even these typically involve the construction of auxiliary geometric objects in order to verify the claim. Similarly, algebra was devoted to developing algorithms for solving equa- tions. This outlook characterized the subject from its origins in ancient Egypt and Babylon, through the ninth century work of al-Khwarizmi, to the solutions to the quadratic and cubic equations in Cardano’s Ars Magna of 1545, and to Lagrange’s study of the quintic in his R´eflexions sur la r´esolution alg´ebrique des ´equations of 1770. -
From Constructive Mathematics to Computable Analysis Via the Realizability Interpretation
From Constructive Mathematics to Computable Analysis via the Realizability Interpretation Vom Fachbereich Mathematik der Technischen Universit¨atDarmstadt zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigte Dissertation von Dipl.-Math. Peter Lietz aus Mainz Referent: Prof. Dr. Thomas Streicher Korreferent: Dr. Alex Simpson Tag der Einreichung: 22. Januar 2004 Tag der m¨undlichen Pr¨ufung: 11. Februar 2004 Darmstadt 2004 D17 Hiermit versichere ich, dass ich diese Dissertation selbst¨andig verfasst und nur die angegebenen Hilfsmittel verwendet habe. Peter Lietz Abstract Constructive mathematics is mathematics without the use of the principle of the excluded middle. There exists a wide array of models of constructive logic. One particular interpretation of constructive mathematics is the realizability interpreta- tion. It is utilized as a metamathematical tool in order to derive admissible rules of deduction for systems of constructive logic or to demonstrate the equiconsistency of extensions of constructive logic. In this thesis, we employ various realizability mod- els in order to logically separate several statements about continuity in constructive mathematics. A trademark of some constructive formalisms is predicativity. Predicative logic does not allow the definition of a set by quantifying over a collection of sets that the set to be defined is a member of. Starting from realizability models over a typed version of partial combinatory algebras we are able to show that the ensuing models provide the features necessary in order to interpret impredicative logics and type theories if and only if the underlying typed partial combinatory algebra is equivalent to an untyped pca. It is an ongoing theme in this thesis to switch between the worlds of classical and constructive mathematics and to try and use constructive logic as a method in order to obtain results of interest also for the classically minded mathematician. -
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. -
Mariya!Tsyglakova!
! ! ! ! ! ! ! ! Mariya!Tsyglakova! ! ! Transcendental+Numbers+and+Infinities+of+ Different+Sizes+ ! ! Capstone!Advisor:! Professor!Joshua!Lansky,!CAS:!Mathematics!and!Statistics! ! ! ! University!Honors! ! Spring!2013! Transcendental Numbers and Infinities of Di↵erent Sizes Mariya Tsyglakova Abstract There are many di↵erent number systems used in mathematics, including natural, whole, algebraic, and real numbers. Transcendental numbers (that is, non-algebraic real numbers) comprise a relatively new number system. Examples of transcendental numbers include e and ⇡. Joseph Liouville first proved the existence of transcendental numbers in 1844. Although only a few transcendental numbers are well known, the set of these numbers is extremely large. In fact, there exist more transcendental than algebraic numbers. This paper proves that there are infinitely many transcendental numbers by showing that the set of real numbers is much larger than the set of algebraic numbers. Since both of these sets are infinite, it means that one infinity can be larger than another infinity. 1 Background Set Theory In order to show that infinities can be of di↵erent sizes and to prove the existence of tran- scendental numbers, we first need to introduce some basic concepts from the set theory. A set is a collection of elements, which is viewed as a single object. Every element of a set is a set itself, and further each of its elements is a set, and so forth. A set A is a subset of a set B if each element of A is an element of B, which is written A B.Thesmallestsetisthe ⇢ empty set, which has no elements and denoted as .