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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. -
MATH 162, SHEET 8: the REAL NUMBERS 8A. Construction of The
MATH 162, SHEET 8: THE REAL NUMBERS This sheet is concerned with proving that the continuum R is an ordered field. Addition and multiplication on R are defined in terms of addition and multiplication on Q, so we will use ⊕ and ⊗ for addition and multiplication of real numbers, to make sure that there is no confusion with + and · on Q: 8A. Construction of the real numbers via cuts, Addition and Order Definition 8.1. A subset A of Q is said to be a cut (or Dedekind cut) if it satisfies the following: (a) A 6= Ø and A 6= Q (b) If r 2 A and s 2 Q satisfies s < r; then s 2 A (c) If r 2 A then there is some s 2 Q with s > r; s 2 A: We denote the collection of all cuts by R. Definition 8.2. We define ⊕ on R as follows. Let A; B 2 R be Dedekind cuts. Define A ⊕ B = fa + b j a 2 A and b 2 Bg 0 = fx 2 Q j x < 0g 1 = fx 2 Q j x < 1g: Exercise 8.3. (a) Prove that A ⊕ B; 0; and 1 are all Dedekind cuts. (b) Prove that fx 2 Q j x ≤ 0g is not a Dedekind cut. (c) Prove that fx 2 Q j x < 0g [ fx 2 Q j x2 < 2g is a Dedekind cut. Hint: In Exercise 4.20 last quarter we showed that if x 2 Q; x ≥ 0; and x2 < 2; then there is some δ 2 Q; δ > 0 such that (x + δ)2 < 2: Exercise 8.4. -
Math 104: Introduction to Analysis
Math 104: Introduction to Analysis Contents 1 Lecture 1 3 1.1 The natural numbers . 3 1.2 Equivalence relations . 4 1.3 The integers . 5 1.4 The rational numbers . 6 2 Lecture 2 6 2.1 The real numbers by axioms . 6 2.2 The real numbers by Dedekind cuts . 7 2.3 Properties of R ................................................ 8 3 Lecture 3 9 3.1 Metric spaces . 9 3.2 Topological definitions . 10 3.3 Some topological fundamentals . 10 4 Lecture 4 11 4.1 Sequences and convergence . 11 4.2 Sequences in R ................................................ 12 4.3 Extended real numbers . 12 5 Lecture 5 13 5.1 Compactness . 13 6 Lecture 6 14 6.1 Compactness in Rk .............................................. 14 7 Lecture 7 15 7.1 Subsequences . 15 7.2 Cauchy sequences, complete metric spaces . 16 7.3 Aside: Construction of the real numbers by completion . 17 8 Lecture 8 18 8.1 Taking powers in the real numbers . 18 8.2 \Toolbox" sequences . 18 9 Lecture 9 19 9.1 Series . 19 9.2 Adding, regrouping series . 20 9.3 \Toolbox" series . 21 1 10 Lecture 10 22 10.1 Root and ratio tests . 22 10.2 Summation by parts, alternating series . 23 10.3 Absolute convergence, multiplying and rearranging series . 24 11 Lecture 11 26 11.1 Limits of functions . 26 11.2 Continuity . 26 12 Lecture 12 27 12.1 Properties of continuity . 27 13 Lecture 13 28 13.1 Uniform continuity . 28 13.2 The derivative . 29 14 Lecture 14 31 14.1 Mean value theorem . 31 15 Lecture 15 32 15.1 L'Hospital's Rule . -
HONOURS B.Sc., M.A. and M.MATH. EXAMINATION MATHEMATICS and STATISTICS Paper MT3600 Fundamentals of Pure Mathematics September 2007 Time Allowed : Two Hours
HONOURS B.Sc., M.A. AND M.MATH. EXAMINATION MATHEMATICS AND STATISTICS Paper MT3600 Fundamentals of Pure Mathematics September 2007 Time allowed : Two hours Attempt all FOUR questions [See over 2 1. Let X be a set, and let ≤ be a total order on X. We say that X is dense if for any two x; y 2 X with x < y there exists z 2 X such that x < z < y. In what follows ≤ always denotes the usual ordering on rational numbers. (i) For each of the following sets determine whether it is dense or not: (a) Q+ (positive rationals); (b) N (positive integers); (c) fx 2 Q : 3 ≤ x ≤ 4g; (d) fx 2 Q : 1 ≤ x ≤ 2g [ fx 2 Q : 3 ≤ x ≤ 4g. Justify your assertions. [4] (ii) Let a and b be rational numbers satisfying a < b. To which of the following a + 4b three sets does the number belong: A = fx 2 : x < ag, B = fx 2 : 5 Q Q a < x < bg or C = fx 2 Q : b < xg? Justify your answer. [1] (iii) Consider the set a A = f : a; n 2 ; n ≥ 0g: 5n Z Is A dense? Justify your answer. [2] 1 (iv) Prove that r = 1 is the only positive rational number such that r + is an r integer. [2] 1 (v) How many positive real numbers x are there such that x + is an integer? x Your answer should be one of: 0, 1, 2, 3, . , countably infinite, or uncountably infinite, and you should justify it. [3] 2. (i) Define what it means for a set A ⊆ Q to be a Dedekind cut. -
11 Construction of R
Math 361 Construction of R 11 Construction of R Theorem 11.1. There does not exist q Q such that q2 = 2. 2 Proof. Suppose that q Q satis¯es q2 = 2. Then we can suppose that q > 0 and express 2 q = a=b, where a; b ! are relatively prime. Since 2 a2 = 2 b2 we have that a2 = 2b2: It follows that 2 a; say a = 2c. Hence j 4c2 = 2b2 2c2 = 2b2 This means that 2 b, which contradicts the assumption that a and b are relatively prime. j Theorem 11.2. There exists r R such that r2 = 2. 2 Proof. Consider the continuous function f : [1; 2] R, de¯ned by f(x) = x2. Then f(1) = 1 and f(2) = 4. By the Intermediate Value !Theorem, there exists r [1; 2] such that r2 = 2. 2 Why is the Intermediate Value Theorem true? Intuitively because R \has no holes"... More precisely... De¯nition 11.3. Suppose that A R. r R is an upper bound of A i® a r for all a A. ² 2 · 2 A is bounded above i® there exists an upper bound for A. ² r R is a least upper bound of A i® the following conditions hold: ² 2 { r is an upper bound of A. { If s is an upper bound of A, then r s. · Axiom 11.4 (Completeness). If A R is nonempty and bounded above, then there exists a least upper bound of A. Deepish Fact Completeness Axiom Intermediate Value Theorem. ) 2006/10/25 1 Math 361 Construction of R Remark 11.5. -
Eudoxos and Dedekind: on the Ancient Greek Theory of Ratios and Its Relation to Modern Mathematics*
HOWARD STEIN EUDOXOS AND DEDEKIND: ON THE ANCIENT GREEK THEORY OF RATIOS AND ITS RELATION TO MODERN MATHEMATICS* 1. THE PHILOSOPHICAL GRAMMAR OF THE CATEGORY OF QUANTITY According to Aristotle, the objects studied by mathematics have no independent existence, but are separated in thought from the substrate in which they exist, and treated as separable - i.e., are "abstracted" by the mathematician. I In particular, numerical attributives or predicates (which answer the question 'how many?') have for "substrate" multi- tudes with a designated unit. 'How many pairs of socks?' has a different answer from 'how many socks?'. (Cf. Metaph. XIV i 1088a5ff.: "One la signifies that it is a measure of a multitude, and number lb that it is a measured multitude and a multitude of measures".) It is reasonable to see in this notion of a "measured multitude" or a "multitude of mea- sures" just that of a (finite) set: the measures or units are what we should call the elements of the set; the requirement that such units be distinguished is precisely what differentiates a set from a mere accumulation or mass. There is perhaps some ambiguity in the quoted passage: the statement, "Number signifies that it is a measured multi- tude", might be taken either to identify numbers with finite sets, or to imply that the subjects numbers are predicated of are finite sets. Euclid's definition - "a number is a multitude composed of units" - points to the former reading (which implies, for example, that there are many two's - a particular knife and fork being one of them). -
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). -
WHY a DEDEKIND CUT DOES NOT PRODUCE IRRATIONAL NUMBERS And, Open Intervals Are Not Sets
WHY A DEDEKIND CUT DOES NOT PRODUCE IRRATIONAL NUMBERS And, Open Intervals are not Sets Pravin K. Johri The theory of mathematics claims that the set of real numbers is uncountable while the set of rational numbers is countable. Almost all real numbers are supposed to be irrational but there are few examples of irrational numbers relative to the rational numbers. The reality does not match the theory. Real numbers satisfy the field axioms but the simple arithmetic in these axioms can only result in rational numbers. The Dedekind cut is one of the ways mathematics rationalizes the existence of irrational numbers. Excerpts from the Wikipedia page “Dedekind cut” A Dedekind cut is а method of construction of the real numbers. It is a partition of the rational numbers into two non-empty sets A and B, such that all elements of A are less than all elements of B, and A contains no greatest element. If B has a smallest element among the rationals, the cut corresponds to that rational. Otherwise, that cut defines a unique irrational number which, loosely speaking, fills the "gap" between A and B. The countable partitions of the rational numbers cannot result in uncountable irrational numbers. Moreover, a known irrational number, or any real number for that matter, defines a Dedekind cut but it is not possible to go in the other direction and create a Dedekind cut which then produces an unknown irrational number. 1 Irrational Numbers There is an endless sequence of finite natural numbers 1, 2, 3 … based on the Peano axiom that if n is a natural number then so is n+1. -
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.