Math 341 Summer 2016 Midterm Exam 2 Solutions. 1. Complete the definitions of the following words or phrases:

Size: px
Start display at page:

Download "Math 341 Summer 2016 Midterm Exam 2 Solutions. 1. Complete the definitions of the following words or phrases:"

Transcription

1 Math 34 Summer 06 Midterm Exam Solutions. Complete the definitions of the following words or phrases: (a) A sequence (a n ) is called a Cauchy sequence if and only if for every ɛ > 0, there exists and N N such that a n a m < ɛ whenever m, n N. (b) A sequence (a n ) converges to a real number a if and only if for every ɛ > 0 there exists an N N such that a n a < ɛ whenever n N. (c) [Reminder: We use the notation V ɛ (a) = {x R: x a < ɛ} = (a ɛ, a + ɛ), and this set is called the ɛ-neighborhood of a.] A set O is open if and only if for all points a O, there exists an ɛ-neighborhood V ɛ (a) O. (d) A point x is a limit point of a set A if and only if every ɛ-neighborhood V ɛ (x) intersects the set A as some point other than x. (e) A point a A is called an isolated point of A if and only if it is not a limit point of A. (f) A set F R is closed if and only if if it contains all of it s limit points. (g) If A R the closure of A is the set Ā = A L, where L is the set of all limit points of A.

2 . Provide an example of each or explain why the request is impossible. (a) Two function f and g, neither of which is continuous at 0 but such that f(x)g(x) and f(x) + g(x) are continuous at 0. Example. Let f(x) = { 0 if x < 0 if x 0 and g(x) = { if x < 0, 0 if x 0. Then f(x)g(x) = 0 and f(x) + g(x) = for all x. Constant functions are continuous at 0. (b) A function f(x) continuous at 0 and g(x) not continuous at 0 such that f(x)+g(x) is continuous at 0. Disproof. This statement is impossible. If f(x) is continuous at 0 and if f(x) + g(x) is continuous at 0, then the Algebraic Continuity Theorem implies that g(x) = [f(x) + g(x)] f(x) must be continuous at 0, contrary to the statement. (c) A function f(x) continuous at 0 and a g(x) not continuous at 0 such that f(x)g(x) is continuous at 0. { 0 if x < 0, Example. Let f(x) = 0 be the constant function 0. Let g(x) = if x 0. Then g(x) is not continuous at 0, but the constant function f(x)g(x) = 0 is continuous at 0. (d) A function f(x) not continuous at 0 such that f(x) + f(x) Example. Let f(x) = { if x 0 if x = 0 and then is continuous at 0. { f(x) = if x 0 if x = 0. The function f has been defined to be discontinuous at 0 and continuous at all x 0. The reciprocal /f(x) is also discontinuous at 0 and continuous at all x 0. The constant function f(x) + = 5 is continuous at 0. f(x) (e) A function f(x) not continuous at 0 such that [f(x)] 3 is continuous at 0. Disproof. The function g(x) = x /3 is continuous at 0. If [f(x)] 3 were also continuous at 0, then the composition of continuous functions g([f(x)] 3 ) = ([f(x)] 3 ) /3 = f(x) would also be continuous at zero. So, no such f(x) exists.

3 3. For each of the following statements, circle True or False. No justification is necessary. For any set A R, (Ā)c is open. True False A set A is closed if and only if A = Ā. True False If A is a bounded set, then s = sup A is a limit point of A. True False An open set that contains every rational number must necessarily be all of R. True False An arbitrary intersection of compact sets is compact. True False If F F F 3 is a nested sequence of nonempty closed sets, then the intersection n=f n. True False The notation V δ (c) in the textbook denotes the interval (c δ, c + δ). True False The set Cantor set is compact. True False Any finite set is compact. True False The set S = { : n N} is compact. True False n 3

4 4. (Limit of a sequence) Suppose lim n x n =. Directly use the definition of the limit of a convergent sequence to show that lim n (x3 n 7x n + 8) =. You should not use the Algebraic Limit Theorem in your argument. [Note: If you get a better score on this question than on Midterm question 4, it will raise the score on Midterm. This question is not optional. You still need to answer it for this exam.] Proof. Let ɛ > 0 be given. Consider the following calculation (x 3 n 7x n + 8) = x 3 n 7x 6 = x n x + x 3 (Since x n = is a root factor using long division.) Since lim x n =, there exists N N such that x n < whenever n N. This implies < x n < 3 whenever x N. Thus for n N, applying the triangle inequality gives (x n 7x n + 8) = x n ( x n + x n + 3) x n ( ) = 3 x n. Since lim x n =, there exists N such that whenever n N. (x n 7x n + 8) < ɛ 3 Thus, if we set N = max(n, N ), then we have This proves that (x n 7x n + 8) since n N 3 x n since n N < 3 ɛ 3 = ɛ. lim n (x3 n 7x n + 8) =. 4

5 5. (Limit of a sequence) Suppose lim n x n = 3. Directly use the definition of the limit of a convergent sequence to show that lim n x n ( x n ) = 6. You should not use the Algebraic Limit Theorem in your argument. [Note: If you get a better score on this question than on Midterm question 0, it will raise the score on Midterm. This question is not optional. You still need to answer it for this exam.] Proof. Let ɛ > 0 be given. We will show there exists N N such that ( x n ( x n ) < ɛ 6) whenever n N. Consider the following calculation: ( x n ( x n ) = 6 + x n ( x n ) 6) 6x n ( x n ) = x n x n 6 6 x n x n = x n 3 x n +. 6 x n x n Since lim x n = 3, there exists N N such that x n 3 < ɛ = whenever n N. So, for n N, we have < x n 3 < < 3 x n < < x n < 4 < x n < 3 Then for n N, we have ( x n ( x n ) ) = x n 3 x n x n x n x n (4 + ) 6 = x n. Since lim x n = 3, there exists N N such that x n 3 < ɛ whenever n N. Now, set N = max(n, N ). If n N, then we have ( x n ( x n ) ) (since n N ) x n 6 This proves that if lim x n = 3, then lim n x n( x n) = 6. (since n N ) < ɛ < ɛ. There is nothing particulary special about the number ɛ = here. The critical thing was to use a value of ɛ that prevents the denominator from being too small. Since lim x n = 3, we need to ensure that for large enough n, both x n and x n are bounded below by a positive constant. In this exercise, any choice of ɛ satisfying 0 < ɛ < would suffice. The choice ɛ = was merely convenient because it gave simple calculations. In problems of this type, avoid automatically using the number. You need to think about what choices of ɛ will cause the denominator to be bounded below by a positive number. For example, if the problem had been to prove lim n x = /3, you would need to choose an ɛ n(5/ x n) satisfying 0 < ɛ < /. So, to be concrete, you might decide to use the number ɛ = /4 in this case. 5

6 6. (Cauchy sequence) Suppose x n is a Cauchy sequence and 3 < x n < 0 for all n N. By directly using the definition of a Cauchy sequence, show that the sequence (b n ), where b n = x n + x n 5, is also a Cauchy sequence. Your argument should not use Cauchy s Criterion. Proof. Let ɛ > 0 be given. Since (x n ) is a Cauchy sequence, there exists N N such that x n x m < ɛ whenever m, n N. We will show that this choice of N suffices to show that (b n ) is also a Cauchy sequence. First, note that since 3 < x n < 0 for all n N, if follows that x n 5 > 5 for all n N. Now assume n, m N, then b n b m = x n + x n 5 x m + x m 5 = (x n + )(x m 5) (x m + )(x n 5) (x n 5)(x m 5) = x n x m + x m 5x n 30) (x m x n + x n 5x m 30) (x n 5)(x m 5) 7 x n x m = x n 5 x m 5 7 x n x m 5 5 7ɛ 5 < ɛ. This proves that (b n ) is a Cauchy sequence. 6

7 7. (ɛ-δ definition of limit) By directly using the ɛ-δ definition of the limit of a function, show that x 3 lim x x + = 8 5. Your argument should not rely on the Algebraic Limit Theorem. Proof. Let ɛ > 0 be given. We will show that there exists δ > 0 such that x 3 x < ɛ whenever 0 < x < δ. Let δ = min(, ɛ/). Note that if x 3 < δ, then < x < 3 and so x < 3. Now assume x 3 < δ, then x 3 x = 5x 3 8(x + ) 5(x + ) = 5x 3 8x 8 5(x + ) = x 5x + x x + x (5 x + x + 4) 5 x ( ) 5 = x ɛ < = ɛ. This proves that lim x x 3 x + =

8 8. Let {O λ : λ Λ} be a collection of open sets. Prove that is an open set. λ Λ Proof. Let x λ Λ O λ. Then x O λ for some λ Λ. Since O λ is open there exists an epsilon neighborhood V ɛ (x) O λ. But then O λ V ɛ (x) O λ λ Λ O λ. This proves that λ Λ O λ is open. 8

9 9. Prove exactly one of the following two theorems. (Don t prove both.) Theorem. (Alternating Series Test) Let (a n ) be a sequence of positive terms such that a > a > a 3 > a 4 > and such that (a n ) 0. Prove that the series n= ( )n+ a n converges by showing that the sequence (s n ) of partial sums is a Cauchy sequence. s n = a a + a 3 + ( ) n+ a n Theorem. (Absolute Convergence Test). If the series n= a n converges, then the series n= a n converges as well. Proof of Alternating Series Test. Let ɛ > 0 be given. We must show that there exists an N N such that s m s n < ɛ whenever m, n N. Let m, n N. Assume n > m N. Then s m s n = a m+ a m+ + ± a n where the sum on the right hand side is alternating. Depending on whether the sum for s m s n has an even or odd number of terms, we have either or 0 (a m+ a m+ ) }{{} >0 = a m+ (a m+ a m+3 ) a m+ + + (a n a n ) }{{} >0 } {{ } >0 (a n a n ) a }{{} n >0 In either case, 0 (a m+ a m+ ) + + (a n a n ) + a n = a m+ (a m+ a m+3 ) (a n a n ) a m+. s m s n a m+. Since lim(a n ) = 0, there exists N N such that a k+ < ɛ whenever k N. If m, n N, then s m s n a m+ < ɛ. This proves that the sequence of partial sums of the alternating series is a Cauchy sequence. This sequence converges by Cauchy s Criterion. 9

10 Proof of Absolute Converges Test. Assume the series n= a n converges. By Cauchy s Criterion, there exists N N such that a m+ + a m+ + + a n < ɛ for all n > m N. By the triangle inequality, we then have a m+ + a m+ + + a n a m+ + a m+ + + a n < ɛ for all n > m N. This shows that the sequence of partial sums of n= is a Cauchy sequence, and by Cauchy s Criterion, the series n= a n converges. 0. Let f : R R be the function defined by { sin( ) if x 0, x f(x) = 0 if x = 0. Either prove that f is continuous at 0 or that f is not continuous at 0. [Hint: This problem can be solved using either the ɛ-δ characterization of continuity or the sequential characterization of continuity.] Solution. We will prove that f(x) is not continuous at x = 0. Let ɛ = / and let δ be any positive number. Then there exists k large enough such that x 0 = π(k + /) < δ. Then x 0 belongs to the δ-neighborhood V δ (0), but f(x 0 ) f(0) = 0 = > ɛ = /. This shows that f(x) is not continuous at x = 0. Solution. Consider the the two sequences (x n ) and (y n ) defined by x n = nπ and y n = (n + /)π. Then (x n ) 0 and (y n ) 0. However, f(x n ) = and f(y n ) = 0 for all n. So, lim f(x n) = 0 = lim f(y n ). n n By the sequential criterion for continuity, f is not continuous at x = 0. 0

11 . Prove exactly one of the following two theorems. (Don t prove both.) Theorem. (Composition of continuous functions) Let f : A R and g : B R be functions such that (i) f(a) = {f(x): x A} B, (ii) f is continuous at c A, (iii) g is continuous at f(c) B. Then g f is continuous at c. Theorem. If f : R R is continuous and B R is open, then is open. f (B) = {x R: f(x) B} Proof of Theorem (Solution ). Let ɛ > 0 be given. We must show that there exists δ > 0 such that x c < δ implies g(f(x)) g(f(c)) < ɛ. Since g is continuous at f(c), there exists α > 0 such that g(y) g(f(c)) < ɛ whenever y B and y g(f(c)) < α. Since f is continuous at c, there exists δ > 0 such that f(x) f(c) < α whenever x c < δ and x A. Then if x c < δ and x A, it follows that So, g f is continuous at c. g(f(x)) g(f(c)) < ɛ. [Note: Most attempted solutions starting off with Since f is continuous... wrong.] were Proof of Theorem (Solution ). Let (x n ) be any sequence in A such that lim x n = c. Since f is continuous at c, lim f(x n ) = f(c). Since ( f(x n ) ) is a sequence in B converging to f(c) and since g is continuous at g(c), it follows that lim g(f(x n )) = g(f(c)). By the sequential characterization of continuity, g f is continuous at c.

12 Proof of Theorem. If f (B) =, then f (B) is open. So, assume f (B). Let x 0 f (B). Then f(x 0 ) = y 0 B. Since B is open there exists an ɛ-neighborhood of y 0 such that V ɛ (y 0 ) B. Since f is continuous at x 0, there exists δ > 0 such that f(x) f(x 0 ) < ɛ, whenever x x 0 < δ. In other words, f(v δ (x 0 )) V ɛ (y 0 ) B. So, we have V δ (x 0 ) f (B). Since x 0 was arbitrary, f (B) is open.. Suppose f : R R is continuous at all points of R and suppose f(c) > 0. Prove that there exists some neighborhood V δ (c) such that f(x) > 0 for all x V δ (c). Proof. Assume f is continuous at c and f(c) > 0. From the definition of continuity, for the number ɛ = f(c) > 0, there exists δ > 0 such that f(x) f(c) < ɛ = f(c) whenever x c < δ. Thus if x V δ (c), then f(c) f(c) and so 0 < f(c) Thus, f(x) > 0 whenever x V δ (c). < f(x) < f(c) + f(c) < f(x) < 3f(c).

Continuity. Chapter 4

Continuity. Chapter 4 Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of

More information

Continuity. Chapter 4

Continuity. Chapter 4 Chapter 4 Continuity Throughout this chapter D is a nonempty subset of the real numbers. We recall the definition of a function. Definition 4.1. A function from D into R, denoted f : D R, is a subset of

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

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.

More information

Advanced Calculus I Chapter 2 & 3 Homework Solutions October 30, Prove that f has a limit at 2 and x + 2 find it. f(x) = 2x2 + 3x 2 x + 2

Advanced Calculus I Chapter 2 & 3 Homework Solutions October 30, Prove that f has a limit at 2 and x + 2 find it. f(x) = 2x2 + 3x 2 x + 2 Advanced Calculus I Chapter 2 & 3 Homework Solutions October 30, 2009 2. Define f : ( 2, 0) R by f(x) = 2x2 + 3x 2. Prove that f has a limit at 2 and x + 2 find it. Note that when x 2 we have f(x) = 2x2

More information

We are going to discuss what it means for a sequence to converge in three stages: First, we define what it means for a sequence to converge to zero

We are going to discuss what it means for a sequence to converge in three stages: First, we define what it means for a sequence to converge to zero Chapter Limits of Sequences Calculus Student: lim s n = 0 means the s n are getting closer and closer to zero but never gets there. Instructor: ARGHHHHH! Exercise. Think of a better response for the instructor.

More information

The Heine-Borel and Arzela-Ascoli Theorems

The Heine-Borel and Arzela-Ascoli Theorems The Heine-Borel and Arzela-Ascoli Theorems David Jekel October 29, 2016 This paper explains two important results about compactness, the Heine- Borel theorem and the Arzela-Ascoli theorem. We prove them

More information

Introduction to Topology

Introduction to Topology Introduction to Topology Randall R. Holmes Auburn University Typeset by AMS-TEX Chapter 1. Metric Spaces 1. Definition and Examples. As the course progresses we will need to review some basic notions about

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

Solutions Final Exam May. 14, 2014

Solutions Final Exam May. 14, 2014 Solutions Final Exam May. 14, 2014 1. Determine whether the following statements are true or false. Justify your answer (i.e., prove the claim, derive a contradiction or give a counter-example). (a) (10

More information

MATH 54 - TOPOLOGY SUMMER 2015 FINAL EXAMINATION. Problem 1

MATH 54 - TOPOLOGY SUMMER 2015 FINAL EXAMINATION. Problem 1 MATH 54 - TOPOLOGY SUMMER 2015 FINAL EXAMINATION ELEMENTS OF SOLUTION Problem 1 1. Let X be a Hausdorff space and K 1, K 2 disjoint compact subsets of X. Prove that there exist disjoint open sets U 1 and

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

Math 140A - Fall Final Exam

Math 140A - Fall Final Exam Math 140A - Fall 2014 - Final Exam Problem 1. Let {a n } n 1 be an increasing sequence of real numbers. (i) If {a n } has a bounded subsequence, show that {a n } is itself bounded. (ii) If {a n } has a

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter The Real Numbers.. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {, 2, 3, }. In N we can do addition, but in order to do subtraction we need to extend

More information

h(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote

h(x) lim H(x) = lim Since h is nondecreasing then h(x) 0 for all x, and if h is discontinuous at a point x then H(x) > 0. Denote Real Variables, Fall 4 Problem set 4 Solution suggestions Exercise. Let f be of bounded variation on [a, b]. Show that for each c (a, b), lim x c f(x) and lim x c f(x) exist. Prove that a monotone function

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter 1 The Real Numbers 1.1. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {1, 2, 3, }. In N we can do addition, but in order to do subtraction we need

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

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

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

MATH NEW HOMEWORK AND SOLUTIONS TO PREVIOUS HOMEWORKS AND EXAMS

MATH NEW HOMEWORK AND SOLUTIONS TO PREVIOUS HOMEWORKS AND EXAMS MATH. 4433. NEW HOMEWORK AND SOLUTIONS TO PREVIOUS HOMEWORKS AND EXAMS TOMASZ PRZEBINDA. Final project, due 0:00 am, /0/208 via e-mail.. State the Fundamental Theorem of Algebra. Recall that a subset K

More information

Math 328 Course Notes

Math 328 Course Notes Math 328 Course Notes Ian Robertson March 3, 2006 3 Properties of C[0, 1]: Sup-norm and Completeness In this chapter we are going to examine the vector space of all continuous functions defined on the

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

Lemma 15.1 (Sign preservation Lemma). Suppose that f : E R is continuous at some a R.

Lemma 15.1 (Sign preservation Lemma). Suppose that f : E R is continuous at some a R. 15. Intermediate Value Theorem and Classification of discontinuities 15.1. Intermediate Value Theorem. Let us begin by recalling the definition of a function continuous at a point of its domain. Definition.

More information

Continuity. Matt Rosenzweig

Continuity. Matt Rosenzweig Continuity Matt Rosenzweig Contents 1 Continuity 1 1.1 Rudin Chapter 4 Exercises........................................ 1 1.1.1 Exercise 1............................................. 1 1.1.2 Exercise

More information

Math 320: Real Analysis MWF 1pm, Campion Hall 302 Homework 7 Solutions Please write neatly, and in complete sentences when possible.

Math 320: Real Analysis MWF 1pm, Campion Hall 302 Homework 7 Solutions Please write neatly, and in complete sentences when possible. Math 320: Real Analysis MWF 1pm, Campion Hall 302 Homework 7 Solutions Please write neatly, and in complete sentences when possible. Do the following problems from the book: 4.2.1, 4.2.3, 4.2.6, 4.2.8,

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

Chapter 2: Functions, Limits and Continuity

Chapter 2: Functions, Limits and Continuity Chapter 2: Functions, Limits and Continuity Functions Limits Continuity Chapter 2: Functions, Limits and Continuity 1 Functions Functions are the major tools for describing the real world in mathematical

More information

Solutions Final Exam May. 14, 2014

Solutions Final Exam May. 14, 2014 Solutions Final Exam May. 14, 2014 1. (a) (10 points) State the formal definition of a Cauchy sequence of real numbers. A sequence, {a n } n N, of real numbers, is Cauchy if and only if for every ɛ > 0,

More information

REVIEW FOR THIRD 3200 MIDTERM

REVIEW FOR THIRD 3200 MIDTERM REVIEW FOR THIRD 3200 MIDTERM PETE L. CLARK 1) Show that for all integers n 2 we have 1 3 +... + (n 1) 3 < 1 n < 1 3 +... + n 3. Solution: We go by induction on n. Base Case (n = 2): We have (2 1) 3 =

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 117 LECTURE NOTES

MATH 117 LECTURE NOTES MATH 117 LECTURE NOTES XIN ZHOU Abstract. This is the set of lecture notes for Math 117 during Fall quarter of 2017 at UC Santa Barbara. The lectures follow closely the textbook [1]. Contents 1. The set

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

Math 111, Introduction to the Calculus, Fall 2011 Midterm I Practice Exam 1 Solutions

Math 111, Introduction to the Calculus, Fall 2011 Midterm I Practice Exam 1 Solutions Math 111, Introduction to the Calculus, Fall 2011 Midterm I Practice Exam 1 Solutions For each question, there is a model solution (showing you the level of detail I expect on the exam) and then below

More information

Introductory Analysis I Fall 2014 Homework #9 Due: Wednesday, November 19

Introductory Analysis I Fall 2014 Homework #9 Due: Wednesday, November 19 Introductory Analysis I Fall 204 Homework #9 Due: Wednesday, November 9 Here is an easy one, to serve as warmup Assume M is a compact metric space and N is a metric space Assume that f n : M N for each

More information

Math 220A - Fall Final Exam Solutions

Math 220A - Fall Final Exam Solutions Math 22A - Fall 216 - Final Exam Solutions Problem 1. Let f be an entire function and let n 2. Show that there exists an entire function g with g n = f if and only if the orders of all zeroes of f are

More information

MATH 409 Advanced Calculus I Lecture 11: More on continuous functions.

MATH 409 Advanced Calculus I Lecture 11: More on continuous functions. MATH 409 Advanced Calculus I Lecture 11: More on continuous functions. Continuity Definition. Given a set E R, a function f : E R, and a point c E, the function f is continuous at c if for any ε > 0 there

More information

MT804 Analysis Homework II

MT804 Analysis Homework II MT804 Analysis Homework II Eudoxus October 6, 2008 p. 135 4.5.1, 4.5.2 p. 136 4.5.3 part a only) p. 140 4.6.1 Exercise 4.5.1 Use the Intermediate Value Theorem to prove that every polynomial of with real

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

Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr.

Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr. Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr. Chapter : Logic Topics:. Statements, Negation, and Compound Statements.2 Truth Tables and Logical Equivalences.3

More information

Real Analysis - Notes and After Notes Fall 2008

Real Analysis - Notes and After Notes Fall 2008 Real Analysis - Notes and After Notes Fall 2008 October 29, 2008 1 Introduction into proof August 20, 2008 First we will go through some simple proofs to learn how one writes a rigorous proof. Let start

More information

HOMEWORK ASSIGNMENT 6

HOMEWORK ASSIGNMENT 6 HOMEWORK ASSIGNMENT 6 DUE 15 MARCH, 2016 1) Suppose f, g : A R are uniformly continuous on A. Show that f + g is uniformly continuous on A. Solution First we note: In order to show that f + g is uniformly

More information

Iowa State University. Instructor: Alex Roitershtein Summer Homework #5. Solutions

Iowa State University. Instructor: Alex Roitershtein Summer Homework #5. Solutions Math 50 Iowa State University Introduction to Real Analysis Department of Mathematics Instructor: Alex Roitershtein Summer 205 Homework #5 Solutions. Let α and c be real numbers, c > 0, and f is defined

More information

Math 117: Continuity of Functions

Math 117: Continuity of Functions Math 117: Continuity of Functions John Douglas Moore November 21, 2008 We finally get to the topic of ɛ δ proofs, which in some sense is the goal of the course. It may appear somewhat laborious to use

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

Problem List MATH 5143 Fall, 2013

Problem List MATH 5143 Fall, 2013 Problem List MATH 5143 Fall, 2013 On any problem you may use the result of any previous problem (even if you were not able to do it) and any information given in class up to the moment the problem was

More information

Math 1: Calculus with Algebra Midterm 2 Thursday, October 29. Circle your section number: 1 Freund 2 DeFord

Math 1: Calculus with Algebra Midterm 2 Thursday, October 29. Circle your section number: 1 Freund 2 DeFord Math 1: Calculus with Algebra Midterm 2 Thursday, October 29 Name: Circle your section number: 1 Freund 2 DeFord Please read the following instructions before starting the exam: This exam is closed book,

More information

Sample Problems for the Second Midterm Exam

Sample Problems for the Second Midterm Exam Math 3220 1. Treibergs σιι Sample Problems for the Second Midterm Exam Name: Problems With Solutions September 28. 2007 Questions 1 10 appeared in my Fall 2000 and Fall 2001 Math 3220 exams. (1) Let E

More information

Copyright 2010 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2010 Pearson Education, Inc. Publishing as Prentice Hall. .1 Limits of Sequences. CHAPTER.1.0. a) True. If converges, then there is an M > 0 such that M. Choose by Archimedes an N N such that N > M/ε. Then n N implies /n M/n M/N < ε. b) False. = n does not converge,

More information

STA2112F99 ε δ Review

STA2112F99 ε δ Review STA2112F99 ε δ Review 1. Sequences of real numbers Definition: Let a 1, a 2,... be a sequence of real numbers. We will write a n a, or lim a n = a, if for n all ε > 0, there exists a real number N such

More information

1 Homework. Recommended Reading:

1 Homework. Recommended Reading: Analysis MT43C Notes/Problems/Homework Recommended Reading: R. G. Bartle, D. R. Sherbert Introduction to real analysis, principal reference M. Spivak Calculus W. Rudin Principles of mathematical analysis

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

Thus f is continuous at x 0. Matthew Straughn Math 402 Homework 6

Thus f is continuous at x 0. Matthew Straughn Math 402 Homework 6 Matthew Straughn Math 402 Homework 6 Homework 6 (p. 452) 14.3.3, 14.3.4, 14.3.5, 14.3.8 (p. 455) 14.4.3* (p. 458) 14.5.3 (p. 460) 14.6.1 (p. 472) 14.7.2* Lemma 1. If (f (n) ) converges uniformly to some

More information

To get horizontal and slant asymptotes algebraically we need to know about end behaviour for rational functions.

To get horizontal and slant asymptotes algebraically we need to know about end behaviour for rational functions. Concepts: Horizontal Asymptotes, Vertical Asymptotes, Slant (Oblique) Asymptotes, Transforming Reciprocal Function, Sketching Rational Functions, Solving Inequalities using Sign Charts. Rational Function

More information

McGill University Math 354: Honors Analysis 3

McGill University Math 354: Honors Analysis 3 Practice problems McGill University Math 354: Honors Analysis 3 not for credit Problem 1. Determine whether the family of F = {f n } functions f n (x) = x n is uniformly equicontinuous. 1st Solution: The

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

Principle of Mathematical Induction

Principle of Mathematical Induction Advanced Calculus I. Math 451, Fall 2016, Prof. Vershynin Principle of Mathematical Induction 1. Prove that 1 + 2 + + n = 1 n(n + 1) for all n N. 2 2. Prove that 1 2 + 2 2 + + n 2 = 1 n(n + 1)(2n + 1)

More information

Lecture Notes on Metric Spaces

Lecture Notes on Metric Spaces Lecture Notes on Metric Spaces Math 117: Summer 2007 John Douglas Moore Our goal of these notes is to explain a few facts regarding metric spaces not included in the first few chapters of the text [1],

More information

Midterm Preparation Problems

Midterm Preparation Problems Midterm Preparation Problems The following are practice problems for the Math 1200 Midterm Exam. Some of these may appear on the exam version for your section. To use them well, solve the problems, then

More information

We say that the function f obtains a maximum value provided that there. We say that the function f obtains a minimum value provided that there

We say that the function f obtains a maximum value provided that there. We say that the function f obtains a minimum value provided that there Math 311 W08 Day 10 Section 3.2 Extreme Value Theorem (It s EXTREME!) 1. Definition: For a function f: D R we define the image of the function to be the set f(d) = {y y = f(x) for some x in D} We say that

More information

(a) For an accumulation point a of S, the number l is the limit of f(x) as x approaches a, or lim x a f(x) = l, iff

(a) For an accumulation point a of S, the number l is the limit of f(x) as x approaches a, or lim x a f(x) = l, iff Chapter 4: Functional Limits and Continuity Definition. Let S R and f : S R. (a) For an accumulation point a of S, the number l is the limit of f(x) as x approaches a, or lim x a f(x) = l, iff ε > 0, δ

More information

Most Continuous Functions are Nowhere Differentiable

Most Continuous Functions are Nowhere Differentiable Most Continuous Functions are Nowhere Differentiable Spring 2004 The Space of Continuous Functions Let K = [0, 1] and let C(K) be the set of all continuous functions f : K R. Definition 1 For f C(K) we

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

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

Homework 1 Solutions

Homework 1 Solutions MATH 171 Spring 2016 Problem 1 Homework 1 Solutions (If you find any errors, please send an e-mail to farana at stanford dot edu) Presenting your arguments in steps, using only axioms of an ordered field,

More information

Immerse Metric Space Homework

Immerse Metric Space Homework Immerse Metric Space Homework (Exercises -2). In R n, define d(x, y) = x y +... + x n y n. Show that d is a metric that induces the usual topology. Sketch the basis elements when n = 2. Solution: Steps

More information

d(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N

d(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N Problem 1. Let f : A R R have the property that for every x A, there exists ɛ > 0 such that f(t) > ɛ if t (x ɛ, x + ɛ) A. If the set A is compact, prove there exists c > 0 such that f(x) > c for all x

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

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

g 2 (x) (1/3)M 1 = (1/3)(2/3)M.

g 2 (x) (1/3)M 1 = (1/3)(2/3)M. COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is

More information

Infinite Limits. By Tuesday J. Johnson

Infinite Limits. By Tuesday J. Johnson Infinite Limits By Tuesday J. Johnson Suggested Review Topics Algebra skills reviews suggested: Evaluating functions Graphing functions Working with inequalities Working with absolute values Trigonometric

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

Finding Limits Analytically

Finding Limits Analytically Finding Limits Analytically Most of this material is take from APEX Calculus under terms of a Creative Commons License In this handout, we explore analytic techniques to compute its. Suppose that f(x)

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

Math 320: Real Analysis MWF 1pm, Campion Hall 302 Homework 8 Solutions Please write neatly, and in complete sentences when possible.

Math 320: Real Analysis MWF 1pm, Campion Hall 302 Homework 8 Solutions Please write neatly, and in complete sentences when possible. Math 320: Real Analysis MWF pm, Campion Hall 302 Homework 8 Solutions Please write neatly, and in complete sentences when possible. Do the following problems from the book: 4.3.5, 4.3.7, 4.3.8, 4.3.9,

More information

First In-Class Exam Solutions Math 410, Professor David Levermore Monday, 1 October 2018

First In-Class Exam Solutions Math 410, Professor David Levermore Monday, 1 October 2018 First In-Class Exam Solutions Math 40, Professor David Levermore Monday, October 208. [0] Let {b k } k N be a sequence in R and let A be a subset of R. Write the negations of the following assertions.

More information

Chapter 2. Limits and Continuity. 2.1 Rates of change and Tangents to Curves. The average Rate of change of y = f(x) with respect to x over the

Chapter 2. Limits and Continuity. 2.1 Rates of change and Tangents to Curves. The average Rate of change of y = f(x) with respect to x over the Chapter 2 Limits and Continuity 2.1 Rates of change and Tangents to Curves Definition 2.1.1 : interval [x 1, x 2 ] is The average Rate of change of y = f(x) with respect to x over the y x = f(x 2) f(x

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

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions.

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions. MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions. Continuity Definition. Given a set E R, a function f : E R, and a point c E, the function f is continuous at c if

More information

MASTERS EXAMINATION IN MATHEMATICS SOLUTIONS

MASTERS EXAMINATION IN MATHEMATICS SOLUTIONS MASTERS EXAMINATION IN MATHEMATICS PURE MATHEMATICS OPTION SPRING 010 SOLUTIONS Algebra A1. Let F be a finite field. Prove that F [x] contains infinitely many prime ideals. Solution: The ring F [x] of

More information

1. Let A R be a nonempty set that is bounded from above, and let a be the least upper bound of A. Show that there exists a sequence {a n } n N

1. Let A R be a nonempty set that is bounded from above, and let a be the least upper bound of A. Show that there exists a sequence {a n } n N Applied Analysis prelim July 15, 216, with solutions Solve 4 of the problems 1-5 and 2 of the problems 6-8. We will only grade the first 4 problems attempted from1-5 and the first 2 attempted from problems

More information

2.4 The Extreme Value Theorem and Some of its Consequences

2.4 The Extreme Value Theorem and Some of its Consequences 2.4 The Extreme Value Theorem and Some of its Consequences The Extreme Value Theorem deals with the question of when we can be sure that for a given function f, (1) the values f (x) don t get too big or

More information

MTH 299 In Class and Recitation Problems SUMMER 2016

MTH 299 In Class and Recitation Problems SUMMER 2016 MTH 299 In Class and Recitation Problems SUMMER 2016 Last updated on: May 13, 2016 MTH299 - Examples CONTENTS Contents 1 Week 1 3 1.1 In Class Problems.......................................... 3 1.2 Recitation

More information

3 COUNTABILITY AND CONNECTEDNESS AXIOMS

3 COUNTABILITY AND CONNECTEDNESS AXIOMS 3 COUNTABILITY AND CONNECTEDNESS AXIOMS Definition 3.1 Let X be a topological space. A subset D of X is dense in X iff D = X. X is separable iff it contains a countable dense subset. X satisfies the first

More information

Notes on Complex Analysis

Notes on Complex Analysis Michael Papadimitrakis Notes on Complex Analysis Department of Mathematics University of Crete Contents The complex plane.. The complex plane...................................2 Argument and polar representation.........................

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

Due date: Monday, February 6, 2017.

Due date: Monday, February 6, 2017. Modern Analysis Homework 3 Solutions Due date: Monday, February 6, 2017. 1. If A R define A = {x R : x A}. Let A be a nonempty set of real numbers, assume A is bounded above. Prove that A is bounded below

More information

Math 10850, fall 2017, University of Notre Dame

Math 10850, fall 2017, University of Notre Dame Math 10850, fall 2017, University of Notre Dame Notes on first exam September 22, 2017 The key facts The first midterm will be on Thursday, September 28, 6.15pm-7.45pm in Hayes-Healy 127. What you need

More information

MATH 301 INTRO TO ANALYSIS FALL 2016

MATH 301 INTRO TO ANALYSIS FALL 2016 MATH 301 INTRO TO ANALYSIS FALL 016 Homework 04 Professional Problem Consider the recursive sequence defined by x 1 = 3 and +1 = 1 4 for n 1. (a) Prove that ( ) converges. (Hint: show that ( ) is decreasing

More information

MATH 131A: REAL ANALYSIS (BIG IDEAS)

MATH 131A: REAL ANALYSIS (BIG IDEAS) MATH 131A: REAL ANALYSIS (BIG IDEAS) Theorem 1 (The Triangle Inequality). For all x, y R we have x + y x + y. Proposition 2 (The Archimedean property). For each x R there exists an n N such that n > x.

More information

Some Function Problems SOLUTIONS Isabel Vogt Last Edited: May 24, 2013

Some Function Problems SOLUTIONS Isabel Vogt Last Edited: May 24, 2013 Some Function Problems SOLUTIONS Isabel Vogt Last Edited: May 24, 23 Most of these problems were written for my students in Math 23a/b at Harvard in 2/22 and 22/23. They cover basic function theory, countability,

More information

THE INVERSE FUNCTION THEOREM

THE INVERSE FUNCTION THEOREM THE INVERSE FUNCTION THEOREM W. PATRICK HOOPER The implicit function theorem is the following result: Theorem 1. Let f be a C 1 function from a neighborhood of a point a R n into R n. Suppose A = Df(a)

More information

MATH 102 INTRODUCTION TO MATHEMATICAL ANALYSIS. 1. Some Fundamentals

MATH 102 INTRODUCTION TO MATHEMATICAL ANALYSIS. 1. Some Fundamentals MATH 02 INTRODUCTION TO MATHEMATICAL ANALYSIS Properties of Real Numbers Some Fundamentals The whole course will be based entirely on the study of sequence of numbers and functions defined on the real

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

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

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3

Contents Ordered Fields... 2 Ordered sets and fields... 2 Construction of the Reals 1: Dedekind Cuts... 2 Metric Spaces... 3 Analysis Math Notes Study Guide Real Analysis Contents Ordered Fields 2 Ordered sets and fields 2 Construction of the Reals 1: Dedekind Cuts 2 Metric Spaces 3 Metric Spaces 3 Definitions 4 Separability

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

5.4 Continuity: Preliminary Notions

5.4 Continuity: Preliminary Notions 5.4. CONTINUITY: PRELIMINARY NOTIONS 181 5.4 Continuity: Preliminary Notions 5.4.1 Definitions The American Heritage Dictionary of the English Language defines continuity as an uninterrupted succession,

More information

Solutions to Math 41 First Exam October 18, 2012

Solutions to Math 41 First Exam October 18, 2012 Solutions to Math 4 First Exam October 8, 202. (2 points) Find each of the following its, with justification. If the it does not exist, explain why. If there is an infinite it, then explain whether it

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

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