Solutions to Tutorial 7 (Week 8)

Size: px
Start display at page:

Download "Solutions to Tutorial 7 (Week 8)"

Transcription

1 The University of Sydney School of Mathematics and Statistics Solutions to Tutorial 7 (Week 8) MATH2962: Real and Complex Analysis (Advanced) Semester 1, 2017 Web Page: Lecturer: Florica C. Cîrstea Questions marked with * are more difficult questions. Material covered (1) Topology of R N and C N. (2) Limits and properties of continuous functions Outcomes This tutorial helps you to (1) be familiar with the basic topological properties of the real and complex euclidean space; (2) have solid foundations in the more formal aspects of analysis, including a knowledge of precise definitions, how to apply them and the ability to write simple proofs; Summary of essential material The set B(x, r) := {y K N : y x < r}. is called the open ball centred at x with radius r > 0. U R N is called open if either U = or for every x U if there exists r > 0 such that B(x, r) U A K N is called closed if the complement A c = {x R N : x A} is open. In the context of continuous function we are also interested in sets that are open or closed with respect to some subset D R d : U D is called open in D if either U = or for every x U if there exists r > 0 such that B(x, r) D U A K N is called closed if the complement A c D = {x R N : x A} is open in D. Open or relatively open sets have the following properties: The whole set and the empty set are open; An arbitrary union of open sets is an open set; A finite intersection of open sets are open set. Copyright c 2017 The University of Sydney 1

2 Every set A R N is associated with an open and a closed set: The interior of A is open: int(a) := {x A: there exists r > 0 so that B(x, r) A}. int(a) A with equality if and only if A is open. The closure of A is closed: Ā := {x R N : B(x, r) A for all r > 0}; A Ā with equality if and only if A is closed. The boundary of A: A = Ā \ int(a). Sequential characterisations: x A if and only if there exists a sequence (x n ) in A such that x n x as n. A is bounded if and only if every sequence in A has a convergent subsequence. A is closed and bounded if and only if every sequence in A has a convergent subsequence with limit in A. Such a set is also called (sequentially) compact. Continuous functions can be characterised by means of open or closed sets. Let D R d and f : D R N a function. Given U R N (a subset of the codomain of f), we define the inverse image or pre-image of U to be the set f 1 [U] := {x D : f(x) U}. The following statements are equivalent: (i) f : D R N is continuous; (ii) f 1 [U] is open in D for every open set U R N ; (iii) f 1 [A] is closed in D for every closed set A R N ; Note however, that the image of an open or closed set does not need to be open or closed, respectively! However, if A is closed and bounded (compact) and f is continuous, then also f(a) is closed and bounded (compact). As a consequence a continuous function on a closed and bounded set into R has a maximum and a minimum. 2

3 Questions to complete during the tutorial 1. Let f : D K N be a function. Give a formal definition of the following limits. Include the relevant assumptions on the domain and co-domain of the function. (a) (b) (c) lim f(x) = ; x a Solution: Suppose that f : D R and a D with D K d. Then f(x) as x a if for every M R, there exists δ > 0 such that f(x) > M for all x D with 0 < x a < δ. lim f(x) = ; x Solution: Suppose that f : D R with D R and D (, n) for all n N. Then f(x) as x if for every M R there exists x 0 R such that f(x) > M for all x D with x < x 0. lim f(x) = b. x a+ Solution: Suppose that f : D K N with D R and (a, a + r) D for all r > 0. We write lim f(x) = b if for every ε > 0 there exists δ > 0 such that x a+ f(x) b < ε for all x D (a, a + δ). 2. Decide whether the following sets are open or closed. Determine interior, closure and boundary. (a) [1, ) R; Solution: The set [1, ) is closed since its complement (, 1) is open. We have int[1, ) = (1, ) and the closure of [1, ) is the set itself. The boundary of [1, ) is the set {1}, which is obtained by subtracting int[1, ) from the closure of [1, ). (b) {( 1) n + 1/n: n N \ {0}} R; Solution: The set is neither closed nor open. The closure is the sequence together with all its points of accumulation. The set consists of the points x n = ( 1) n + 1/n for n 1. The sequence (x n ), namely the limits 1 and 1 of the subsequences (x 2k ) and (x 2k+1 ), respectively. Hence, the closure of the given set is {( 1) n + 1/n: n N \ {0}} {1, 1}. The interior is empty and the boundary is the same as its closure. (c) {z C: z 1 + z + 1 < 4} C; Solution: The function f : C R given by f(z) := z 1 + z +1 is continuous. The given set is the inverse image of the open set (, 4), and therefore an open set. It is the interior of an ellipse with foci at x = ±1 without the boundary. The closure is the ellipse including the line bounding it, and the boundary is the ellipse z 1 + z + 1 = 4. (d) Z R; Solution: The complement of Z in R is R \ Z = k Z (k, k + 1), which is an open set (as the union of open sets). This shows that Z is closed. Moreover, we have int(z) = and Z = Z. (e) {(x, y, z): x 2 + y 2 < 1, x + y + z = 1}; Solution: Geometrically, the set is the part of the plane x + y + z = 1 within the open cylinder x 2 + y 2 < 1. Hence the set is neither open nor closed. Since it 3

4 is part of a plane, its interior is empty. Its closure and boundary is {(x, y, z) R 3 : x 2 + y 2 1, x + y + z = 1} (f) {n/(n + 1): n N} {1} R. Solution: We know that n/(n + 1) 1 as n, so the set is closed. The reason is that every convergent sequence in the set has its limit in the set. The interior is empty since every interval about a point in the set intersects the complement of the set. The boundary equals the set itself. 3. (a) Suppose K n R N are closed non-empty sets such that K n+1 K n for all n N and that diam(k n ) := sup x y 0. x,y K n (i) For every n N let x n K n. Show that (x n ) is a Cauchy sequence in R N. Solution: By assumption, K n+1 K n for all n N. Hence, that x m K m K n for all m > n. As x m, x n K n we have x m x n sup x y = diam(k n ) x,y K n for all m > n. Since diam(k n ) 0 as n, given ε > 0 there exists n 0 N such that diam(k n0 ) < ε for all n > n 0. Hence x m x n diam(k n ) < ε for all m > n > n 0, showing that (x n ) is a Cauchy sequence. (ii) Hence, show that n N K n. (This is called Cantor s Intersection Theorem.) Solution: Let (x n ) be the sequence from part (??). Hence (x n ) converges, that is, x n x. We know that x n K m for all n > m. As K m is closed x K m. Since this is true for all m N we conclude that x m N K m, so the intersection is non-empty as claimed. (b) Give an example of non-empty open bounded sets O n with O n+1 O n and diam(o n ) 0 as n such that n N O n =. Solution: For every n N, we define O n = (0, 1 n+1 ) R. Then clearly O n is open, O n+1 O n for all n N and n N O n =. Moreover, diam(o n ) = 1/(n + 1) 0 as n. The example shows that the requirement that K n being closed in part (??) is essential. 4. Let D R m be closed and bounded. Suppose that f : D R n is an injective continuous function. Show that the inverse function f 1 : f(d) D is continuous. Solution: In lectures it was proved that a function is continuous if and only if the inverse image of every closed set is closed. If U R m is closed, then is closed. Hence f 1 is continuous. [f 1 ] 1 [U] = f(u D) 4

5 Extra questions for further practice 5. If A R is a closed set bounded from above (below), show that A has a maximum (minimum). Solution: Suppose that A is bounded from above. By the least upper bound axiom m := sup A exists. Now for every ε > 0 there exists a A such that m ε < a m. This means that B(m, ε) A for all ε > 0. Hence m is in the closure of A. As A is closed we conclude that m A. 6. Let X K N be an arbitrary set. A set A X is said to be relatively open in X if for every x A there exists r > 0 such that B(x, r) X A. Moreover, A X is called relatively closed in X if its complement A c X is relatively open in X. (a) Which of the following sets are relatively open or closed in X = [0, 2)? (i) A = [0, 1) Solution: The set is relatively open in [0, 2), because about every point x in [0, 1) there is an open interval whose intersection with [0, 2) is entirely in [0, 1). Note that A c X = [1, 2) is not relatively open in X since 1 A c X and there is no small interval about 1 entirely contained in A c X. Hence, [0, 1) is not relatively closed in X. (ii) A = [1, 2) Solution: The set [1, 2) is relatively closed in X = [0, 2) since its complement in X, namely [0, 1), is relatively open in X. However, [1, 2) is not relatively open in [0, 2) since [0, 1) is not relatively closed in X. (iii) A = [1/2, 1) Solution: The set [1/2, 1) is not relatively open in [0, 2) because there is no small interval about 1/2 entirely contained in the intersection A X. The set A = [1/2, 1) is also not relatively closed in [0, 2) because A c X = [0, 1/2) [1, 2) is not relatively open in X. Indeed, there is no small interval about 1 entirely contained in the intersection A c X. (b) Prove that A X is relatively open in X if and only if there exists an open set O in K N with A = X O. Solution: First suppose that A is open in X. Then for every x A there exists r x > 0 such that B(x, r x ) X A. Since arbitrary unions of open sets are open the set O := B(x, r x ) x A is an open set. Since A O and B(x, r x ) X A for all x A we have A = X O. Hence there exists an open set as required. Suppose now that O is an open set with X O = A. If x A then x O and since O is open there exists r > 0 such that B(x, r) O. Hence B(x, r) X O X = A, showing that A is open in X. (c) Show that and X are relatively open in X. Prove that arbitrary unions and finite intersections of relatively open sets in X are relatively open in X. Solution: We use the characterisation of relatively open sets from part (??). Clearly X = X K N, so X is open in X. Similarly is open in X since X = and is open in K N. If O α, α A is a family of open sets in X then by part (??) there exist open sets Õα K N with Õα X = O α for all α A. Now α A Õα 5

6 is open in K N, and thus ( α A Õα) X = α A O α is open in X. The proof for finite intersections is similar. 7. Let A, B R N. (a) If A B, show that A B and that int(a) int(b). Solution: Suppose that x A. Then B(x, r) A for all r > 0. Since A B, we also have B(x, r) B for all r > 0. Hence x B, proving that A B. Suppose now that x int(a). Then, there exists r > 0 such that B(x, r) A, and thus B(x, r) B since A B. This means that x int(b), showing that int(a) int(b). *(b) Show that A B = A B Solution: Clearly A B A B. As a finite union of closed sets is closed A B is closed, so by (??) we have A B A B = A B. To prove the opposite inclusion fix x A B. Then x A or x B. Hence B(x, r) A or B(x, r) B for all r > 0, that is, B(x, r) (A B) for all r > 0. Hence x A B, showing that A B A B. Combining the two inclusions we get A B = A B. (c) Show that A B A B with possibly proper inclusion. Solution: Note that A B A B. An intersection of two closed sets is closed. Hence A B is closed, and by (??) we have A B A B = A B. To see that there is no equality in general consider A = (0, 1) and B := (1, 2) Then A B =, so A B =. On the other hand A = [0, 1] and B := [1, 2], so A B = {1}. Clearly {1}. Challenge questions (optional) *8. Denote by GL N (K) the set of invertible matrices in K N N. We proved in Tutorial 6, Question 7 that I B is invertible if B < 1. Use this to prove that GL N (K) is open in K N N. (Note: The above is a way to see that if we perturb the coefficients of an invertible matrix slightly, it will stay invertible. The proof does not make use of determinants, and the ideas apply to more general situations.) Solution: Let A be any invertible matrix in K N N. We have to show that there exists r > 0 such that the open ball about A with radius r is contained in GL N (K). In other words, there exists r > 0 such that every matrix B in K N N is invertible when A B < r. We write B = A ( I (I A 1 B) ). By Tutorial 6, Question 7, the matrix B is invertible if We have so (??) is satisfied if I A 1 B < 1. (1) I A 1 B = A 1 (A B) A 1 A B A B < r := 1 A 1. Hence, it follows that every matrix B in K N N is invertible if A B < r. This proves that GL N (K) is open in K N N. 6

Solutions to Tutorial 8 (Week 9)

Solutions to Tutorial 8 (Week 9) The University of Sydney School of Mathematics and Statistics Solutions to Tutorial 8 (Week 9) MATH3961: Metric Spaces (Advanced) Semester 1, 2018 Web Page: http://www.maths.usyd.edu.au/u/ug/sm/math3961/

More information

Solutions to Tutorial 3 (Week 4)

Solutions to Tutorial 3 (Week 4) The University of Sydney School of Mathematics and Statistics Solutions to Tutorial 3 (Week 4) MATH3961: Metric Spaces (Advanced) Semester 1, 2018 Web Page: http://www.maths.usyd.edu.au/u/ug/sm/math3961/

More information

Solutions to Tutorial 1 (Week 2)

Solutions to Tutorial 1 (Week 2) THE UNIVERSITY OF SYDNEY SCHOOL OF MATHEMATICS AND STATISTICS Solutions to Tutorial 1 (Week 2 MATH3969: Measure Theory and Fourier Analysis (Advanced Semester 2, 2017 Web Page: http://sydney.edu.au/science/maths/u/ug/sm/math3969/

More information

Solutions to Problem Sheet for Week 11

Solutions to Problem Sheet for Week 11 THE UNIVERSITY OF SYDNEY SCHOOL OF MATHEMATICS AND STATISTICS Solutions to Problem Sheet for Week MATH9: Differential Calculus (Advanced) Semester, 7 Web Page: sydney.edu.au/science/maths/u/ug/jm/math9/

More information

REVIEW OF ESSENTIAL MATH 346 TOPICS

REVIEW OF ESSENTIAL MATH 346 TOPICS REVIEW OF ESSENTIAL MATH 346 TOPICS 1. AXIOMATIC STRUCTURE OF R Doğan Çömez The real number system is a complete ordered field, i.e., it is a set R which is endowed with addition and multiplication operations

More information

Convergence of sequences, limit of functions, continuity

Convergence of sequences, limit of functions, continuity Convergence of sequences, limit of functions, continuity With the definition of norm, or more precisely the distance between any two vectors in R N : dist(x, y) 7 x y 7 [(x 1 y 1 ) 2 + + (x N y N ) 2 ]

More information

Problem Set 2: Solutions Math 201A: Fall 2016

Problem Set 2: Solutions Math 201A: Fall 2016 Problem Set 2: s Math 201A: Fall 2016 Problem 1. (a) Prove that a closed subset of a complete metric space is complete. (b) Prove that a closed subset of a compact metric space is compact. (c) Prove that

More information

2 Metric Spaces Definitions Exotic Examples... 3

2 Metric Spaces Definitions Exotic Examples... 3 Contents 1 Vector Spaces and Norms 1 2 Metric Spaces 2 2.1 Definitions.......................................... 2 2.2 Exotic Examples...................................... 3 3 Topologies 4 3.1 Open Sets..........................................

More information

A LITTLE REAL ANALYSIS AND TOPOLOGY

A LITTLE REAL ANALYSIS AND TOPOLOGY A LITTLE REAL ANALYSIS AND TOPOLOGY 1. NOTATION Before we begin some notational definitions are useful. (1) Z = {, 3, 2, 1, 0, 1, 2, 3, }is the set of integers. (2) Q = { a b : aεz, bεz {0}} is the set

More information

Economics 204 Fall 2011 Problem Set 2 Suggested Solutions

Economics 204 Fall 2011 Problem Set 2 Suggested Solutions Economics 24 Fall 211 Problem Set 2 Suggested Solutions 1. Determine whether the following sets are open, closed, both or neither under the topology induced by the usual metric. (Hint: think about limit

More information

Homework 5. Solutions

Homework 5. Solutions Homework 5. Solutions 1. Let (X,T) be a topological space and let A,B be subsets of X. Show that the closure of their union is given by A B = A B. Since A B is a closed set that contains A B and A B is

More information

Mathematics for Economists

Mathematics for Economists Mathematics for Economists Victor Filipe Sao Paulo School of Economics FGV Metric Spaces: Basic Definitions Victor Filipe (EESP/FGV) Mathematics for Economists Jan.-Feb. 2017 1 / 34 Definitions and Examples

More information

Topology, Math 581, Fall 2017 last updated: November 24, Topology 1, Math 581, Fall 2017: Notes and homework Krzysztof Chris Ciesielski

Topology, Math 581, Fall 2017 last updated: November 24, Topology 1, Math 581, Fall 2017: Notes and homework Krzysztof Chris Ciesielski Topology, Math 581, Fall 2017 last updated: November 24, 2017 1 Topology 1, Math 581, Fall 2017: Notes and homework Krzysztof Chris Ciesielski Class of August 17: Course and syllabus overview. Topology

More information

Math 5210, Definitions and Theorems on Metric Spaces

Math 5210, Definitions and Theorems on Metric Spaces Math 5210, Definitions and Theorems on Metric Spaces Let (X, d) be a metric space. We will use the following definitions (see Rudin, chap 2, particularly 2.18) 1. Let p X and r R, r > 0, The ball of radius

More information

CLASS NOTES FOR APRIL 14, 2000

CLASS NOTES FOR APRIL 14, 2000 CLASS NOTES FOR APRIL 14, 2000 Announcement: Section 1.2, Questions 3,5 have been deferred from Assignment 1 to Assignment 2. Section 1.4, Question 5 has been dropped entirely. 1. Review of Wednesday class

More information

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous:

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous: MATH 51H Section 4 October 16, 2015 1 Continuity Recall what it means for a function between metric spaces to be continuous: Definition. Let (X, d X ), (Y, d Y ) be metric spaces. A function f : X Y is

More information

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered

More information

ECARES Université Libre de Bruxelles MATH CAMP Basic Topology

ECARES Université Libre de Bruxelles MATH CAMP Basic Topology ECARES Université Libre de Bruxelles MATH CAMP 03 Basic Topology Marjorie Gassner Contents: - Subsets, Cartesian products, de Morgan laws - Ordered sets, bounds, supremum, infimum - Functions, image, preimage,

More information

Set, functions and Euclidean space. Seungjin Han

Set, functions and Euclidean space. Seungjin Han Set, functions and Euclidean space Seungjin Han September, 2018 1 Some Basics LOGIC A is necessary for B : If B holds, then A holds. B A A B is the contraposition of B A. A is sufficient for B: If A holds,

More information

Metric Spaces Lecture 17

Metric Spaces Lecture 17 Metric Spaces Lecture 17 Homeomorphisms At the end of last lecture an example was given of a bijective continuous function f such that f 1 is not continuous. For another example, consider the sets T =

More information

Maths 212: Homework Solutions

Maths 212: Homework Solutions Maths 212: Homework Solutions 1. The definition of A ensures that x π for all x A, so π is an upper bound of A. To show it is the least upper bound, suppose x < π and consider two cases. If x < 1, then

More information

Real Analysis. Joe Patten August 12, 2018

Real Analysis. Joe Patten August 12, 2018 Real Analysis Joe Patten August 12, 2018 1 Relations and Functions 1.1 Relations A (binary) relation, R, from set A to set B is a subset of A B. Since R is a subset of A B, it is a set of ordered pairs.

More information

Course 212: Academic Year Section 1: Metric Spaces

Course 212: Academic Year Section 1: Metric Spaces Course 212: Academic Year 1991-2 Section 1: Metric Spaces D. R. Wilkins Contents 1 Metric Spaces 3 1.1 Distance Functions and Metric Spaces............. 3 1.2 Convergence and Continuity in Metric Spaces.........

More information

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3 Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,

More information

Solve EACH of the exercises 1-3

Solve EACH of the exercises 1-3 Topology Ph.D. Entrance Exam, August 2011 Write a solution of each exercise on a separate page. Solve EACH of the exercises 1-3 Ex. 1. Let X and Y be Hausdorff topological spaces and let f: X Y be continuous.

More information

Exercises from other sources REAL NUMBERS 2,...,

Exercises from other sources REAL NUMBERS 2,..., Exercises from other sources REAL NUMBERS 1. Find the supremum and infimum of the following sets: a) {1, b) c) 12, 13, 14, }, { 1 3, 4 9, 13 27, 40 } 81,, { 2, 2 + 2, 2 + 2 + } 2,..., d) {n N : n 2 < 10},

More information

11691 Review Guideline Real Analysis. Real Analysis. - According to Principles of Mathematical Analysis by Walter Rudin (Chapter 1-4)

11691 Review Guideline Real Analysis. Real Analysis. - According to Principles of Mathematical Analysis by Walter Rudin (Chapter 1-4) Real Analysis - According to Principles of Mathematical Analysis by Walter Rudin (Chapter 1-4) 1 The Real and Complex Number Set: a collection of objects. Proper subset: if A B, then call A a proper subset

More information

Chapter 2 Metric Spaces

Chapter 2 Metric Spaces Chapter 2 Metric Spaces The purpose of this chapter is to present a summary of some basic properties of metric and topological spaces that play an important role in the main body of the book. 2.1 Metrics

More information

*Room 3.13 in Herschel Building

*Room 3.13 in Herschel Building MAS3706: Topology Dr. Zinaida Lykova School of Mathematics, Statistics and Physics Newcastle University *Room 3.13 in Herschel Building These lectures concern metric and topological spaces and continuous

More information

Topology Exercise Sheet 2 Prof. Dr. Alessandro Sisto Due to March 7

Topology Exercise Sheet 2 Prof. Dr. Alessandro Sisto Due to March 7 Topology Exercise Sheet 2 Prof. Dr. Alessandro Sisto Due to March 7 Question 1: The goal of this exercise is to give some equivalent characterizations for the interior of a set. Let X be a topological

More information

Math 421, Homework #6 Solutions. (1) Let E R n Show that = (E c ) o, i.e. the complement of the closure is the interior of the complement.

Math 421, Homework #6 Solutions. (1) Let E R n Show that = (E c ) o, i.e. the complement of the closure is the interior of the complement. Math 421, Homework #6 Solutions (1) Let E R n Show that (Ē) c = (E c ) o, i.e. the complement of the closure is the interior of the complement. 1 Proof. Before giving the proof we recall characterizations

More information

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA  address: Topology Xiaolong Han Department of Mathematics, California State University, Northridge, CA 91330, USA E-mail address: Xiaolong.Han@csun.edu Remark. You are entitled to a reward of 1 point toward a homework

More information

Walker Ray Econ 204 Problem Set 3 Suggested Solutions August 6, 2015

Walker Ray Econ 204 Problem Set 3 Suggested Solutions August 6, 2015 Problem 1. Take any mapping f from a metric space X into a metric space Y. Prove that f is continuous if and only if f(a) f(a). (Hint: use the closed set characterization of continuity). I make use of

More information

MAS3706 Topology. Revision Lectures, May I do not answer enquiries as to what material will be in the exam.

MAS3706 Topology. Revision Lectures, May I do not answer  enquiries as to what material will be in the exam. MAS3706 Topology Revision Lectures, May 208 Z.A.Lykova It is essential that you read and try to understand the lecture notes from the beginning to the end. Many questions from the exam paper will be similar

More information

Math 117: Topology of the Real Numbers

Math 117: Topology of the Real Numbers Math 117: Topology of the Real Numbers John Douglas Moore November 10, 2008 The goal of these notes is to highlight the most important topics presented in Chapter 3 of the text [1] and to provide a few

More information

U e = E (U\E) e E e + U\E e. (1.6)

U e = E (U\E) e E e + U\E e. (1.6) 12 1 Lebesgue Measure 1.2 Lebesgue Measure In Section 1.1 we defined the exterior Lebesgue measure of every subset of R d. Unfortunately, a major disadvantage of exterior measure is that it does not satisfy

More information

COMPLEX ANALYSIS TOPIC XVI: SEQUENCES. 1. Topology of C

COMPLEX ANALYSIS TOPIC XVI: SEQUENCES. 1. Topology of C COMPLEX ANALYSIS TOPIC XVI: SEQUENCES PAUL L. BAILEY Abstract. We outline the development of sequences in C, starting with open and closed sets, and ending with the statement of the Bolzano-Weierstrauss

More information

Math General Topology Fall 2012 Homework 11 Solutions

Math General Topology Fall 2012 Homework 11 Solutions Math 535 - General Topology Fall 2012 Homework 11 Solutions Problem 1. Let X be a topological space. a. Show that the following properties of a subset A X are equivalent. 1. The closure of A in X has empty

More information

JORDAN CONTENT. J(P, A) = {m(i k ); I k an interval of P contained in int(a)} J(P, A) = {m(i k ); I k an interval of P intersecting cl(a)}.

JORDAN CONTENT. J(P, A) = {m(i k ); I k an interval of P contained in int(a)} J(P, A) = {m(i k ); I k an interval of P intersecting cl(a)}. JORDAN CONTENT Definition. Let A R n be a bounded set. Given a rectangle (cartesian product of compact intervals) R R n containing A, denote by P the set of finite partitions of R by sub-rectangles ( intervals

More information

CHAPTER 7. Connectedness

CHAPTER 7. Connectedness CHAPTER 7 Connectedness 7.1. Connected topological spaces Definition 7.1. A topological space (X, T X ) is said to be connected if there is no continuous surjection f : X {0, 1} where the two point set

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets

FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES CHRISTOPHER HEIL 1. Compact Sets Definition 1.1 (Compact and Totally Bounded Sets). Let X be a metric space, and let E X be

More information

Exam 2 extra practice problems

Exam 2 extra practice problems Exam 2 extra practice problems (1) If (X, d) is connected and f : X R is a continuous function such that f(x) = 1 for all x X, show that f must be constant. Solution: Since f(x) = 1 for every x X, either

More information

MATH 23b, SPRING 2005 THEORETICAL LINEAR ALGEBRA AND MULTIVARIABLE CALCULUS Midterm (part 1) Solutions March 21, 2005

MATH 23b, SPRING 2005 THEORETICAL LINEAR ALGEBRA AND MULTIVARIABLE CALCULUS Midterm (part 1) Solutions March 21, 2005 MATH 23b, SPRING 2005 THEORETICAL LINEAR ALGEBRA AND MULTIVARIABLE CALCULUS Midterm (part 1) Solutions March 21, 2005 1. True or False (22 points, 2 each) T or F Every set in R n is either open or closed

More information

FRACTAL GEOMETRY, DYNAMICAL SYSTEMS AND CHAOS

FRACTAL GEOMETRY, DYNAMICAL SYSTEMS AND CHAOS FRACTAL GEOMETRY, DYNAMICAL SYSTEMS AND CHAOS MIDTERM SOLUTIONS. Let f : R R be the map on the line generated by the function f(x) = x 3. Find all the fixed points of f and determine the type of their

More information

Mid Term-1 : Practice problems

Mid Term-1 : Practice problems Mid Term-1 : Practice problems These problems are meant only to provide practice; they do not necessarily reflect the difficulty level of the problems in the exam. The actual exam problems are likely to

More information

UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CORE COURSE. B.Sc. MATHEMATICS V SEMESTER. (2011 Admission onwards) BASIC MATHEMATICAL ANALYSIS

UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CORE COURSE. B.Sc. MATHEMATICS V SEMESTER. (2011 Admission onwards) BASIC MATHEMATICAL ANALYSIS UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CORE COURSE B.Sc. MATHEMATICS V SEMESTER (2011 Admission onwards) BASIC MATHEMATICAL ANALYSIS QUESTION BANK 1. Find the number of elements in the power

More information

Your first day at work MATH 806 (Fall 2015)

Your first day at work MATH 806 (Fall 2015) Your first day at work MATH 806 (Fall 2015) 1. Let X be a set (with no particular algebraic structure). A function d : X X R is called a metric on X (and then X is called a metric space) when d satisfies

More information

Analysis Comprehensive Exam Questions Fall F(x) = 1 x. f(t)dt. t 1 2. tf 2 (t)dt. and g(t, x) = 2 t. 2 t

Analysis Comprehensive Exam Questions Fall F(x) = 1 x. f(t)dt. t 1 2. tf 2 (t)dt. and g(t, x) = 2 t. 2 t Analysis Comprehensive Exam Questions Fall 2. Let f L 2 (, ) be given. (a) Prove that ( x 2 f(t) dt) 2 x x t f(t) 2 dt. (b) Given part (a), prove that F L 2 (, ) 2 f L 2 (, ), where F(x) = x (a) Using

More information

Optimization and Optimal Control in Banach Spaces

Optimization and Optimal Control in Banach Spaces Optimization and Optimal Control in Banach Spaces Bernhard Schmitzer October 19, 2017 1 Convex non-smooth optimization with proximal operators Remark 1.1 (Motivation). Convex optimization: easier to solve,

More information

Chapter II. Metric Spaces and the Topology of C

Chapter II. Metric Spaces and the Topology of C II.1. Definitions and Examples of Metric Spaces 1 Chapter II. Metric Spaces and the Topology of C Note. In this chapter we study, in a general setting, a space (really, just a set) in which we can measure

More information

Introduction to Proofs

Introduction to Proofs Real Analysis Preview May 2014 Properties of R n Recall Oftentimes in multivariable calculus, we looked at properties of vectors in R n. If we were given vectors x =< x 1, x 2,, x n > and y =< y1, y 2,,

More information

arxiv: v1 [math.mg] 4 Jan 2013

arxiv: v1 [math.mg] 4 Jan 2013 On the boundary of closed convex sets in E n arxiv:1301.0688v1 [math.mg] 4 Jan 2013 January 7, 2013 M. Beltagy Faculty of Science, Tanta University, Tanta, Egypt E-mail: beltagy50@yahoo.com. S. Shenawy

More information

M17 MAT25-21 HOMEWORK 6

M17 MAT25-21 HOMEWORK 6 M17 MAT25-21 HOMEWORK 6 DUE 10:00AM WEDNESDAY SEPTEMBER 13TH 1. To Hand In Double Series. The exercises in this section will guide you to complete the proof of the following theorem: Theorem 1: Absolute

More information

Introduction to Proofs in Analysis. updated December 5, By Edoh Y. Amiran Following the outline of notes by Donald Chalice INTRODUCTION

Introduction to Proofs in Analysis. updated December 5, By Edoh Y. Amiran Following the outline of notes by Donald Chalice INTRODUCTION Introduction to Proofs in Analysis updated December 5, 2016 By Edoh Y. Amiran Following the outline of notes by Donald Chalice INTRODUCTION Purpose. These notes intend to introduce four main notions from

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

NAME: Mathematics 205A, Fall 2008, Final Examination. Answer Key

NAME: Mathematics 205A, Fall 2008, Final Examination. Answer Key NAME: Mathematics 205A, Fall 2008, Final Examination Answer Key 1 1. [25 points] Let X be a set with 2 or more elements. Show that there are topologies U and V on X such that the identity map J : (X, U)

More information

Many of you got these steps reversed or otherwise out of order.

Many of you got these steps reversed or otherwise out of order. Problem 1. Let (X, d X ) and (Y, d Y ) be metric spaces. Suppose that there is a bijection f : X Y such that for all x 1, x 2 X. 1 10 d X(x 1, x 2 ) d Y (f(x 1 ), f(x 2 )) 10d X (x 1, x 2 ) Show that if

More information

POINT SET TOPOLOGY. Definition 2 A set with a topological structure is a topological space (X, O)

POINT SET TOPOLOGY. Definition 2 A set with a topological structure is a topological space (X, O) POINT SET TOPOLOGY Definition 1 A topological structure on a set X is a family O P(X) called open sets and satisfying (O 1 ) O is closed for arbitrary unions (O 2 ) O is closed for finite intersections.

More information

MH 7500 THEOREMS. (iii) A = A; (iv) A B = A B. Theorem 5. If {A α : α Λ} is any collection of subsets of a space X, then

MH 7500 THEOREMS. (iii) A = A; (iv) A B = A B. Theorem 5. If {A α : α Λ} is any collection of subsets of a space X, then MH 7500 THEOREMS Definition. A topological space is an ordered pair (X, T ), where X is a set and T is a collection of subsets of X such that (i) T and X T ; (ii) U V T whenever U, V T ; (iii) U T whenever

More information

Part III. 10 Topological Space Basics. Topological Spaces

Part III. 10 Topological Space Basics. Topological Spaces Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.

More information

Supra β-connectedness on Topological Spaces

Supra β-connectedness on Topological Spaces Proceedings of the Pakistan Academy of Sciences 49 (1): 19-23 (2012) Copyright Pakistan Academy of Sciences ISSN: 0377-2969 Pakistan Academy of Sciences Original Article Supra β-connectedness on Topological

More information

Math 421, Homework #9 Solutions

Math 421, Homework #9 Solutions Math 41, Homework #9 Solutions (1) (a) A set E R n is said to be path connected if for any pair of points x E and y E there exists a continuous function γ : [0, 1] R n satisfying γ(0) = x, γ(1) = y, and

More information

After taking the square and expanding, we get x + y 2 = (x + y) (x + y) = x 2 + 2x y + y 2, inequality in analysis, we obtain.

After taking the square and expanding, we get x + y 2 = (x + y) (x + y) = x 2 + 2x y + y 2, inequality in analysis, we obtain. Lecture 1: August 25 Introduction. Topology grew out of certain questions in geometry and analysis about 100 years ago. As Wikipedia puts it, the motivating insight behind topology is that some geometric

More information

2.1 Sets. Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R.

2.1 Sets. Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R. 2. Basic Structures 2.1 Sets Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R. Definition 2 Objects in a set are called elements or members of the set. A set is

More information

Math General Topology Fall 2012 Homework 1 Solutions

Math General Topology Fall 2012 Homework 1 Solutions Math 535 - General Topology Fall 2012 Homework 1 Solutions Definition. Let V be a (real or complex) vector space. A norm on V is a function : V R satisfying: 1. Positivity: x 0 for all x V and moreover

More information

1 Lecture 4: Set topology on metric spaces, 8/17/2012

1 Lecture 4: Set topology on metric spaces, 8/17/2012 Summer Jump-Start Program for Analysis, 01 Song-Ying Li 1 Lecture : Set topology on metric spaces, 8/17/01 Definition 1.1. Let (X, d) be a metric space; E is a subset of X. Then: (i) x E is an interior

More information

Definitions & Theorems

Definitions & Theorems Definitions & Theorems Math 147, Fall 2009 December 19, 2010 Contents 1 Logic 2 1.1 Sets.................................................. 2 1.2 The Peano axioms..........................................

More information

Copyright c 2007 Jason Underdown Some rights reserved. statement. sentential connectives. negation. conjunction. disjunction

Copyright c 2007 Jason Underdown Some rights reserved. statement. sentential connectives. negation. conjunction. disjunction Copyright & License Copyright c 2007 Jason Underdown Some rights reserved. statement sentential connectives negation conjunction disjunction implication or conditional antecedant & consequent hypothesis

More information

We will begin our study of topology from a set-theoretic point of view. As the subject

We will begin our study of topology from a set-theoretic point of view. As the subject p. 1 Math 490-01 Notes 5 Topology We will begin our study of topology from a set-theoretic point of view. As the subject expands, we will encounter various notions from analysis such as compactness, continuity,

More information

Topological properties

Topological properties CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological

More information

Metric Spaces Math 413 Honors Project

Metric Spaces Math 413 Honors Project Metric Spaces Math 413 Honors Project 1 Metric Spaces Definition 1.1 Let X be a set. A metric on X is a function d : X X R such that for all x, y, z X: i) d(x, y) = d(y, x); ii) d(x, y) = 0 if and only

More information

Math 201 Topology I. Lecture notes of Prof. Hicham Gebran

Math 201 Topology I. Lecture notes of Prof. Hicham Gebran Math 201 Topology I Lecture notes of Prof. Hicham Gebran hicham.gebran@yahoo.com Lebanese University, Fanar, Fall 2015-2016 http://fs2.ul.edu.lb/math http://hichamgebran.wordpress.com 2 Introduction and

More information

Some Background Material

Some Background Material Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important

More information

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers Page 1 Theorems Wednesday, May 9, 2018 12:53 AM Theorem 1.11: Greatest-Lower-Bound Property Suppose is an ordered set with the least-upper-bound property Suppose, and is bounded below be the set of lower

More information

1 Sets of real numbers

1 Sets of real numbers 1 Sets of real numbers Outline Sets of numbers, operations, functions Sets of natural, integer, rational and real numbers Operations with real numbers and their properties Representations of real numbers

More information

B. Appendix B. Topological vector spaces

B. Appendix B. Topological vector spaces B.1 B. Appendix B. Topological vector spaces B.1. Fréchet spaces. In this appendix we go through the definition of Fréchet spaces and their inductive limits, such as they are used for definitions of function

More information

MA651 Topology. Lecture 9. Compactness 2.

MA651 Topology. Lecture 9. Compactness 2. MA651 Topology. Lecture 9. Compactness 2. This text is based on the following books: Topology by James Dugundgji Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology

More information

Section 21. The Metric Topology (Continued)

Section 21. The Metric Topology (Continued) 21. The Metric Topology (cont.) 1 Section 21. The Metric Topology (Continued) Note. In this section we give a number of results for metric spaces which are familar from calculus and real analysis. We also

More information

MATH 31BH Homework 1 Solutions

MATH 31BH Homework 1 Solutions MATH 3BH Homework Solutions January 0, 04 Problem.5. (a) (x, y)-plane in R 3 is closed and not open. To see that this plane is not open, notice that any ball around the origin (0, 0, 0) will contain points

More information

Characterisation of Accumulation Points. Convergence in Metric Spaces. Characterisation of Closed Sets. Characterisation of Closed Sets

Characterisation of Accumulation Points. Convergence in Metric Spaces. Characterisation of Closed Sets. Characterisation of Closed Sets Convergence in Metric Spaces Functional Analysis Lecture 3: Convergence and Continuity in Metric Spaces Bengt Ove Turesson September 4, 2016 Suppose that (X, d) is a metric space. A sequence (x n ) X is

More information

1. Simplify the following. Solution: = {0} Hint: glossary: there is for all : such that & and

1. Simplify the following. Solution: = {0} Hint: glossary: there is for all : such that & and Topology MT434P Problems/Homework Recommended Reading: Munkres, J.R. Topology Hatcher, A. Algebraic Topology, http://www.math.cornell.edu/ hatcher/at/atpage.html For those who have a lot of outstanding

More information

Chapter 1: Banach Spaces

Chapter 1: Banach Spaces 321 2008 09 Chapter 1: Banach Spaces The main motivation for functional analysis was probably the desire to understand solutions of differential equations. As with other contexts (such as linear algebra

More information

Metric Spaces Math 413 Honors Project

Metric Spaces Math 413 Honors Project Metric Spaces Math 413 Honors Project 1 Metric Spaces Definition 1.1 Let X be a set. A metric on X is a function d : X X R such that for all x, y, z X: i) d(x, y) = d(y, x); ii) d(x, y) = 0 if and only

More information

2 2 + x =

2 2 + x = Lecture 30: Power series A Power Series is a series of the form c n = c 0 + c 1 x + c x + c 3 x 3 +... where x is a variable, the c n s are constants called the coefficients of the series. n = 1 + x +

More information

Math 426 Homework 4 Due 3 November 2017

Math 426 Homework 4 Due 3 November 2017 Math 46 Homework 4 Due 3 November 017 1. Given a metric space X,d) and two subsets A,B, we define the distance between them, dista,b), as the infimum inf a A, b B da,b). a) Prove that if A is compact and

More information

Analysis-3 lecture schemes

Analysis-3 lecture schemes Analysis-3 lecture schemes (with Homeworks) 1 Csörgő István November, 2015 1 A jegyzet az ELTE Informatikai Kar 2015. évi Jegyzetpályázatának támogatásával készült Contents 1. Lesson 1 4 1.1. The Space

More information

Chapter 6: The metric space M(G) and normal families

Chapter 6: The metric space M(G) and normal families Chapter 6: The metric space MG) and normal families Course 414, 003 04 March 9, 004 Remark 6.1 For G C open, we recall the notation MG) for the set algebra) of all meromorphic functions on G. We now consider

More information

Homework in Topology, Spring 2009.

Homework in Topology, Spring 2009. Homework in Topology, Spring 2009. Björn Gustafsson April 29, 2009 1 Generalities To pass the course you should hand in correct and well-written solutions of approximately 10-15 of the problems. For higher

More information

Logical Connectives and Quantifiers

Logical Connectives and Quantifiers Chapter 1 Logical Connectives and Quantifiers 1.1 Logical Connectives 1.2 Quantifiers 1.3 Techniques of Proof: I 1.4 Techniques of Proof: II Theorem 1. Let f be a continuous function. If 1 f(x)dx 0, then

More information

Math 320-2: Midterm 2 Practice Solutions Northwestern University, Winter 2015

Math 320-2: Midterm 2 Practice Solutions Northwestern University, Winter 2015 Math 30-: Midterm Practice Solutions Northwestern University, Winter 015 1. Give an example of each of the following. No justification is needed. (a) A metric on R with respect to which R is bounded. (b)

More information

STRONGLY CONNECTED SPACES

STRONGLY CONNECTED SPACES Undergraduate Research Opportunity Programme in Science STRONGLY CONNECTED SPACES Submitted by Dai Bo Supervised by Dr. Wong Yan-loi Department of Mathematics National University of Singapore Academic

More information

Product metrics and boundedness

Product metrics and boundedness @ Applied General Topology c Universidad Politécnica de Valencia Volume 9, No. 1, 2008 pp. 133-142 Product metrics and boundedness Gerald Beer Abstract. This paper looks at some possible ways of equipping

More information

Thus, X is connected by Problem 4. Case 3: X = (a, b]. This case is analogous to Case 2. Case 4: X = (a, b). Choose ε < b a

Thus, X is connected by Problem 4. Case 3: X = (a, b]. This case is analogous to Case 2. Case 4: X = (a, b). Choose ε < b a Solutions to Homework #6 1. Complete the proof of the backwards direction of Theorem 12.2 from class (which asserts the any interval in R is connected). Solution: Let X R be a closed interval. Case 1:

More information

converges as well if x < 1. 1 x n x n 1 1 = 2 a nx n

converges as well if x < 1. 1 x n x n 1 1 = 2 a nx n Solve the following 6 problems. 1. Prove that if series n=1 a nx n converges for all x such that x < 1, then the series n=1 a n xn 1 x converges as well if x < 1. n For x < 1, x n 0 as n, so there exists

More information

Topology Homework Assignment 1 Solutions

Topology Homework Assignment 1 Solutions Topology Homework Assignment 1 Solutions 1. Prove that R n with the usual topology satisfies the axioms for a topological space. Let U denote the usual topology on R n. 1(a) R n U because if x R n, then

More information

B553 Lecture 3: Multivariate Calculus and Linear Algebra Review

B553 Lecture 3: Multivariate Calculus and Linear Algebra Review B553 Lecture 3: Multivariate Calculus and Linear Algebra Review Kris Hauser December 30, 2011 We now move from the univariate setting to the multivariate setting, where we will spend the rest of the class.

More information

1. Decide for each of the following expressions: Is it a function? If so, f is a function. (i) Domain: R. Codomain: R. Range: R. (iii) Yes surjective.

1. Decide for each of the following expressions: Is it a function? If so, f is a function. (i) Domain: R. Codomain: R. Range: R. (iii) Yes surjective. Homework 2 2/14/2018 SOLUTIONS Exercise 6. 1. Decide for each of the following expressions: Is it a function? If so, (i) what is its domain, codomain, and image? (iii) is it surjective? (ii) is it injective?

More information

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions Sets and Functions MATH 464/506, Real Analysis J. Robert Buchanan Department of Mathematics Summer 2007 Notation x A means that element x is a member of set A. x / A means that x is not a member of A.

More information

MA 1124 Solutions 14 th May 2012

MA 1124 Solutions 14 th May 2012 MA 1124 Solutions 14 th May 2012 1 (a) Use True/False Tables to prove (i) P = Q Q = P The definition of P = Q is given by P Q P = Q T T T T F F F T T F F T So Q P Q = P F F T T F F F T T T T T Since the

More information