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

Similar documents
McGill University Math 354: Honors Analysis 3

The Heine-Borel and Arzela-Ascoli Theorems

Summer Jump-Start Program for Analysis, 2012 Song-Ying Li. 1 Lecture 7: Equicontinuity and Series of functions

Math 118B Solutions. Charles Martin. March 6, d i (x i, y i ) + d i (y i, z i ) = d(x, y) + d(y, z). i=1

Assignment-10. (Due 11/21) Solution: Any continuous function on a compact set is uniformly continuous.

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

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

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

Math 328 Course Notes

MATH NEW HOMEWORK AND SOLUTIONS TO PREVIOUS HOMEWORKS AND EXAMS

Math 321 Final Examination April 1995 Notation used in this exam: N. (1) S N (f,x) = f(t)e int dt e inx.

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

Problem Set 5. 2 n k. Then a nk (x) = 1+( 1)k

Principles of Real Analysis I Fall VII. Sequences of Functions

MATH 140B - HW 5 SOLUTIONS

MATH 117 LECTURE NOTES

Real Analysis Problems

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

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

Continuous Functions on Metric Spaces

MAT 544 Problem Set 2 Solutions

Some Background Material

Week 2: Sequences and Series

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1.

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Continuity. Chapter 4

4.4 Uniform Convergence of Sequences of Functions and the Derivative

Summer Jump-Start Program for Analysis, 2012 Song-Ying Li

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

Immerse Metric Space Homework

Continuity. Chapter 4

Introductory Analysis 1 Fall 2009 Homework 4 Solutions to Exercises 1 3

Problem List MATH 5143 Fall, 2013

7 Complete metric spaces and function spaces

Principle of Mathematical Induction

CHAPTER 6. Limits of Functions. 1. Basic Definitions

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

1 The topology of metric spaces

Mathematics 242 Principles of Analysis Solutions for Problem Set 5 Due: March 15, 2013

Math 209B Homework 2

One-to-one functions and onto functions

Math LM (24543) Lectures 01

Introductory Analysis 2 Spring 2010 Exam 1 February 11, 2015

Supplementary Notes for W. Rudin: Principles of Mathematical Analysis

The Arzelà-Ascoli Theorem

Math 61CM - Solutions to homework 6

Numerical Sequences and Series

Mid Term-1 : Practice problems

Problem Set 5: Solutions Math 201A: Fall 2016

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

Midterm 1. Every element of the set of functions is continuous

Bounded Derivatives Which Are Not Riemann Integrable. Elliot M. Granath. A thesis submitted in partial fulfillment of the requirements

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

Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University

M17 MAT25-21 HOMEWORK 6

INTRODUCTION TO REAL ANALYSIS II MATH 4332 BLECHER NOTES

NOTES ON EXISTENCE AND UNIQUENESS THEOREMS FOR ODES

Metric Spaces and Topology

means is a subset of. So we say A B for sets A and B if x A we have x B holds. BY CONTRAST, a S means that a is a member of S.

Part III. 10 Topological Space Basics. Topological Spaces

Analytic Number Theory Solutions

Analysis Qualifying Exam

2.4 The Extreme Value Theorem and Some of its Consequences

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

Chapter 1 The Real Numbers

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

Problem 3. Give an example of a sequence of continuous functions on a compact domain converging pointwise but not uniformly to a continuous function

THE INVERSE FUNCTION THEOREM

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

MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5

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

Functional Analysis Exercise Class

MATH 5616H INTRODUCTION TO ANALYSIS II SAMPLE FINAL EXAM: SOLUTIONS

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

ANALYSIS WORKSHEET II: METRIC SPACES

Spectral theory for compact operators on Banach spaces

Bare-bones outline of eigenvalue theory and the Jordan canonical form

Similar to sequence, note that a series converges if and only if its tail converges, that is, r 1 r ( 1 < r < 1), ( 1) k k. r k =

Quick Tour of the Topology of R. Steven Hurder, Dave Marker, & John Wood 1

Existence and Uniqueness

Elementary Analysis Math 140D Fall 2007

x 0 + f(x), exist as extended real numbers. Show that f is upper semicontinuous This shows ( ɛ, ɛ) B α. Thus

FUNCTIONAL ANALYSIS CHRISTIAN REMLING

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

Selected solutions for Homework 9

Math 4603: Advanced Calculus I, Summer 2016 University of Minnesota Homework Schedule

Continuity. Matt Rosenzweig

Analysis III. Exam 1

REVIEW OF ESSENTIAL MATH 346 TOPICS

Real Analysis Notes. Thomas Goller

Real Analysis Chapter 4 Solutions Jonathan Conder

INTRODUCTORY ANALYSIS I Homework #13 (The lucky one)

Zangwill s Global Convergence Theorem

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

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

From now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.

Most Continuous Functions are Nowhere Differentiable

CHAPTER 3. Sequences. 1. Basic Properties

ON SPACE-FILLING CURVES AND THE HAHN-MAZURKIEWICZ THEOREM

Economics 204 Fall 2011 Problem Set 2 Suggested Solutions

Transcription:

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 n M Assume that for every p M there exists a neighborhood V p of p such that (f n Vp ) converges uniformly on V p Prove: (f n ) converges uniformly on M Proof By compactness, there exist p,, p n M such that M = n j= V p j Let ɛ > 0 be given By hypothesis (f n Vpj ) is Cauchy in the uniform norm for each j =,, n; thus there exist N,, N j such that f n (p) f m (p) < ɛ if n, m N j, p V pj, j =,, n Clearly, if n, m max(n,, N n ), then f n (p) f m (p) < ɛ for all p M The sequence (f n ) is thus Cauchy in the uniform norm, hence converges uniformly 2 Here is an exercise from the second set of pre-lim problems in the textbook; it is #70 on page 266 The book phrases it as follows: Let A be the set of all positive integers that do not contain the digit 9 in their decimal expansion Prove that a < a A In other words, we consider the series n= a n where the sequence (/a n ) is, 2, 3, 4, 5, 6, 7, 8, 0,, 2, 3, 4, 5, 6, 7, 8, 20, At first it is the almost the same as the sequence of positive integers, but eventually bigger and bigger gaps occur Solution For k = 0,, 2,, let A k = {a A : 0 k a < 0 k+ } These are numbers with k + digits and some elementary counting techniques show that there are 8 9 k numbers with k digits that do not contain the digit 9 Since all are 0 k we see that a 8 9 k 0 k = 8 a A k ( ) k 9 0 Assume now F is a finite subset of A There is then k N {0} such that A k j=0 A j, hence a a F k j=0 a A j a k j=0 ( ) j 9 8 8 0 j=0 The set of all finite sums is bounded; the result follows ( ) j 9 = 80 < 0

2 3 Prove the following result first proved by Euler: Let p, p 2, be the sequence of primes Then = In view of this result and the p j= j result of the previous exercise, what do you think appears more frequently in the number sequence: A prime, or an integer whose decimal expansion has no digit equal to 9? Hints: For a given integer N select n as in the solution of Exercise 0 of Homework 8; that is, n is such that {p,, p n } is the set of all primes N Recall also formula () from that solutions set, which is also valid if s = The terms of the summation on the right side of () comprise all numbers that decompose into a product of (powers of) the primes p,, p n ; in particular every number from to N Thus N n= n n k= p k Prove that if 0 x /2 then x e 2x Use this to conclude that N n= n e n k= 2 p k Solution In the hints, 0 x /2 then x e 2x, should have been 0 x /2 then ( x) e 2x Let N N and let p,, p n be all the primes N If k N, then k = p j pjn n for some (unique) choice of j,, j n N {0} Thus k = p j p jn n and is thus a member of the summation appearing on the right hand side of equation () of the solution pages of Homework 8, with s = It follows, by that formula, that N n= n n k= p k () Claim: If 0 x, then ( x) e 2x Letting ϕ(x) = e 2x ( x), the claim is equivalent to claiming that ϕ(x) for 0 x /2 Now ϕ (x) = e 2x ( 2x) 0 for 0 x, thus ϕ is increasing in that interval, hence ϕ(x) ϕ(0) = for all x [0, /2], establishing the claim It follows that ( p ) e 2p for all primes p and () implies N n= n n k= e p k n k= = e p k

3 Taking logarithms, n k= p k Letting N, we also have n and the right hand side of the last displayed inequality diverges to This implies that the left hand side also has to diverge to as n N n= n The answer to the last question is that the frequency at which primes appear (ie, on the average, the number of primes in any interval of integers) is higher than that of integers with a decimal expansion with all digits different from 9 4 More on monotone functions In the previous homework you learned (if you did not know it already) that a monotone function can only have a countable set of discontinuities The surprising fact is that every countable subset of an interval [a, b] can be the set of discontinuities of a monotone function For example, there are monotone functions that are discontinuous at all rational points, continuous elsewhere Here you are required to fill in the details of the constructions of such a function Let < a < b < and let (x n ) be a sequence of distinct points of the interval (a, b) Define f : [a, b] R as follows Select c n for n N so that c n > 0 and n= c n < For x [a, b] let S(x) = {n N : x n < x} Define f(x) = n S(x) c n Prove: (a) f is increasing in [a, b] (b) f has a jump at x n for each n N; in fact f(x n +) f(x n ) = c n for each n N, (c) f is continuous at all x x n, n N Comments and hints The points x n could be all over the place so it is quite possible (as it would be if (x n ) is an ordering of the rational numbers in the interval) that S(x) is an infinite set for all x (a, b) Of course S(a) = and one defines n c n = 0 If S(x) is a finite set there is no problem in how n S(x) c n is defined If it is infinite it is countably infinite and one can either define c n : F is a finite subset of S(x)} n S(x) c n = sup{ n F or, equivalently, one can order S(x) into a sequence {n, n 2, } and define n S(x) c n = k= c n k The way one does this ordering is irrelevant; the end result is always the same Proving that f is increasing is easy, I think For the rest, a direct proof can be sort of messy Here is a more elegant way of proceeding Let H be the Heaviside function; that is the function

4 defined by H(x) = { 0, if x < 0,, if x 0 Prove that f(x) = n= c nh(x x n ); in fact, prove the series n= c nh( x n ) converges uniformly to f Use this to complete the proof Solution The hints were a bit muddled That the function f defined in the statement of the exercise is the same as the function defined by f(x) = n= c nh(x x n ) is, I think, obvious I will write f = n= g n, where g n (x) = c n H(x x n ) for n N, x (a, b) The series converges uniformly because g n (x) c n for all n N, x (a, b), so uniform convergence is guaranteed by the Weierstrass M-test, since c n < By a result seen in class (and in the textbook), the limit of a uniformly convergent sequence (or series) of functions from a metric space to another is continuous at each point where all the terms of the sequence (or series) are continuous Now x H(x x n ) is continuous at all points x x n Thus, if x x n for n N, then g n is continuous at x for all n, and f is continuous at all points x x n, n N Let n N Then g m is continuous at x n for m m Defining G(x) = m n g m(x), we have f = g n + G and since G is continuous at x we see that f(x n +) f(x n ) = g n (x+) g n (x ) = c n At this point we proved (a) f has a jump at x n for each n N; in fact f(x n +) f(x n ) = c n for each n N, (b) f is continuous at all x x n, n N It remains to be seen that f is increasing This is obvious from the first definition of f 3 Textbook, Chapter 4, Exercise 8, p 252 Solution The problem was to prove or disprove that the sequence of functions f n : R R defined by ( ) f n (x) = cos(n + x) + log + sin 2 (n n x) n + 2 is equicontinuous The answer is yes; to prove it we first establish some preliminary results Lemma Let I be an interval in R and let f n : I R for n N Assume that f is differentiable at all interior points of I (if I is open, that s all points of I) If there exists M 0 such that f n(x) M for all x I 0, n N, then (f n ) is equicontinuous

5 Proof Let ɛ > 0 Take δ = ɛ/(m + ) (I use M + to avoid saying: We may assume M > 0) If x, y I, x y By the mean value theorem there is c between x and y such that f(x) f(y) = f (c)(x y), thus f(x) f(y) M x y for all x, y I (trivially if x = y) Thus x y < δ implies f(x) f(y) M x y < Mδ = ɛm/(m + ) < ɛ Lemma 2 Let (f n ), (g n ) be two equicontinuous sequences of functions from a metric space M to R Then the sequences (f n + g n ), (cf n ) (where c R) are also equicontinuous Proof Left as exercise We are ready for the exercise ( Let g n, h n : R ) R be defined by g n (x) = cos(n+x), h n (x) = log + sin 2 (n n x) for x R Both functions n + 2 are differentiable on R g n(x) = sin(n + x) for all x R, n N By Lemma, (g n ) is equicontinuous Since f n = g n +h n, by Lemma ]reflem 2 it suffices to prove that (h n ) is equicontinuous For this purpose, let ɛ > 0 be given Now lim x 0 log( + x) = log = 0; there is thus η > 0 such that if x < η then log( + x) < ɛ/2 Taking now N N such that / N + 2 < η we see that if n N, x R, then sin 2 (n n x) n + 2 n + 2 < η and it follows that ( log + sin 2 (n x)) n < ɛ/2; ie, n + 2 f n (x) < ɛ/2 n N, x R (2) Assume now n N In this case f n(x) = 2n n sin(n n x) cos(n n x) n + 2 + sin(nn x) 2N N, 3 n N, x R, (3) where I estimated n + 2 + sin(n n x) + 2 Take δ = ɛ( 3 ) 2N N If x, y R and x y < δ, let n N If n N then by (3) and the mean value theorem we get f n (x) f n (y) 2N N x y < 2N N δ = ɛ 3 3

6 If n > N, then by (2), f n (x) f n (y) f n (x) + f n (y) < ɛ 2 + ɛ 2 = ɛ We proved that f n (x) f n (y) < ɛ for all n N whenever x y < δ We are done 4 Textbook, Chapter 4, Exercise 3, p 252 Solution To decide: Assume f n : R R for n N and (f n K ) is pointwise equicontinuous and pointwise bounded for each compact subset K of R (a) Does it follow that there is a subsequence of (f n ) that converges pointwise to a continuous g : R R? (b) What about uniform convergence? The answer to the first question is yes To the second question, not necessarily We prove first there is a subsequence converging pointwise to a continuous function on R But before we can do this we have to deal with a certain nuisance; the fact that the assumption is not that the restrictions of the sequence to compact sets are equicontinuous and (uniformly) bounded, but only pointwise equicontinuous (which I think is a fairly useless concept) and pointwise bounded We show (and a full solution of this exercise would have had to show) that one can get rid of the pesky pointwise clause Partially this is done in our textbook; in Theorem 37 (page 249) I did not cover this in class because, as I mentioned above parenthetically, I consider it a fairly useless concept Moreover, the proof is in a later starred section Pugh s proof is by contradiction but it is also easy to give a better, direct proof, which is what I will do That is, I ll show that if K is a compact metric space and g n : K R for n N is such that the sequence (g n ) is pointwise equicontinuous and pointwise bounded, then it is equicontinuous and bounded, hence Arzela-Ascoli applies I ll begin with equicontinuity Let ɛ > 0 be given By pointwise equicontinuity, for each p K there exists δ p > 0 such that g n (q) g n (p) < ɛ/2 for all n N if d(q, p) < δ p The open balls B(p; δ p /2) constitute an open covering of K; by compactness there is a finite subcovering {B(p ; δ p /2),, B(p m ; δ pm /2)} Let δ = min i m δ pi /2 Then δ > 0 Assume q, q 2 K and d(q, q 2 ) < δ There is i, i m such that q B(p i, δ pi /2) Then d(q, p i ) < δ pi /2 < δ pi and g n (q ) g n (p i ) < ɛ/2 for all n N In addition, d(q 2, p i ) d(q 2, q ) + d(q, p) < δ + δ pi /2 δ pi /2 + δ pi /2 = d pi, so that also g n (q 2 ) g n (p i ) < ɛ/2 for all n N Thus g n (q ) g n (q 2 ) g n (q ) g n (p i ) + g n (p i ) g n (q 2 ) < ɛ 2 + ɛ 2 = ɛ

7 for all n N This proves equicontinuity Now that we have equicontinuity, we see that pointwise boundedness implies boundedness In fact, we may assume now (g n ) is an equicontinuous sequence from K to R and assume (g n (p)) is a bounded sequence of real numbers for every p K You might recall that this was all that was needed to prove the Arzela- Ascoli theorem, so a quick argument is to say that by the same proof of the Arzela-Ascoli theorem, the sequence has a uniformly convergent subsequence More to the point, every subsequence has a uniformly convergent subsequence, and boundedness follows easily from this But I ll give a direct proof By equicontinuity (with ɛ = ), there is δ > 0 such that if d(p, q) < δ, then g n (p) g n (q) < for all n N By compactness, since {B(p; )} p K is an open covering of K, there exist p,, p r K such that K = r j= B(p j; ) By the pointwise boundedness, there exist C, C 2,, C r such that g n (p j ) C j for all n N Let q K Then there is j {,, r} such that q B(p j, ); thus g n (q) g n (q) g n (p j ) + g n (p j ) < + C j max j r C j + The sequence is uniformly bounded by max j r C j + Concerning our sequence, it follows it is equicontinuous and uniformly bounded on compact sets, thus Arzela-Ascoli applies to all restrictions of the sequence to a compact set We turn to the proof as such It is done by a diagonal process similar to the one used to prove Arzela-Ascoli We construct an integer matrix ν such that for i = 2, 3,, the i-th row, namely (ν(i, j)) j= is a subsequence of the (i )-st row as follows By Arzela-Ascoli, the sequence (f n ) restricted to the compact set [, ] has a uniformly convergent subsequence (f nj ) to some continuous function g : [, ] R; define ν(, j) = n j Thus (f ν(,j) [,] ) converges uniformly to g Assume ν(i, j) defined for some i N and all j N so that (ν(i, j)) j= is a strictly increasing sequence of integers and (f ν(i,j) [ i,i] ) converges uniformly (as j ) to a continuous function g i : [ i, i] R We now consider the sequence (f ν(i,j) ) restricted to [ i, i + ] By Arzela-Ascoli it has a subsequence converging uniformly to some continuous g i+ : [ i, i + ] R A subsequence of a sequence is defined by a subsequence of the indices of the sequence; that is, there exists a strictly increasing sequence of positive integers (j k ) such that (f ν(i,jk ) [ i,i+] ) converges uniformly to g i+ as k We define ν(i +, k) = ν(i, j k ) for k =, 2, This concludes the definition of the matrix ν It should be clear that the limit functions g i satisfy g i+ [ i,i] = g i for i =, 2, 3 ; that is simply because the sequence (f ν(i+,j) [ i,i] ) is a subsequence of (f ν(i,j) [ i,i] ), hence their limits have to coincide We can thus define a function g : R R by g(x) = g i (x) if x i and this

8 function will be well defined It will also be continuous; if x R select i N so x < i; then g = g i in a neighborhood of x and the continuity of g i implies that of g Returning to our original sequence of functions, the diagonal process is completed by selecting the diagonal sequence (f ν(k,k) ); this sequence is a subsequence of (f ν(i,j) ) j= for k i; more precisely, for i =, 2,, (f ν(k,k) ) k=i is a subsequence of (f ν(i,j)) j=, thus it, and hence also the full sequence (f ν(k,k) ) k=, converges to g i = g uniformly on [ i, i] In particular the subsequence (f ν(k,k) ) of (f n ) converges pointwise to g on R This takes care of the first question Concerning the second question, the answer is no There are many counterexamples, the following rather simple one shows that even if we strengthen pointwise bounded to bounded, the conclusion might still be false Define first f : R R by { sin x, 0 x π, f(x) = 0, x < 0 or x > π (Any continuous function that s zero outside of a compact set will do) Define f n : R R by f n (x) = f(x n) This is trivially equicontinuous (given ɛ > 0, the δ > 0 that works for f works for all f n ) and uniformly bounded (by ) It is also clear that it converges pointwise to 0 The convergence is uniform on compact sets But the convergence is clearly not uniform on all of R; if ɛ (0, ) there is no N such that f n (x) < ɛ for all n N The same goes for any subsequence of this sequence 5 Textbook, Chapter 4, Exercise 22, p 254 Solution In this exercise one assumes E is an equicontinuous and bounded subset of C 0 The mission is: (a) Prove x sup{f(x) : f E} is continuous (b) Show (a) fails without equicontinuity (c) Show that this continuous sup-property does not imply equicontinuity (d) Assume that the continuous sup-property is true for each subset F E Is E equicontinuous? Prove or disprove Proof of (a) It is mentioned at the beginning of the exercise set that C 0 stands for C([a, b]); I will be a bit more general because with the same effort one can prove the result for C(K), K a compact metric space So in this part we are given a bounded, equicontinuous subset of C(K) a compact metric space and we want to prove F : x sup{f(x) : f E} is continuous Notice that because E is bounded, we have F (p) M for all p K, where M is a bound for E Assuming E =, we ll also have F (p) M for all p K

9 Let ɛ > 0 be given By equicontinuity there is δ > 0 such that f(p) f(q) < ɛ for all p, q K with d(p, q) < δ, all g E Assume now p, q K, d(p, q) < δ For each g E, f(q) < f(p) + ɛ F (p) + ɛ, thus F (p) + ɛ is an upper bound of {f(q) : f E} Thus F (q) F (p) + ɛ Reversing the roles of p, q we get F (p) < F (q) + ɛ We proved F (p) F (q) < ɛ if d(p, q) < δ; ie, F is uniformly continuous, hence continuous Proof of (b) I am writing down this proof (or disproof) before seeing any of your answers One of you may have come up (or found) a simpler proof For n N define f n : [0, 2] R by 0, if 0 x, f n (x) = nx n, if < x + n,, if + n < x 2 One sees without excessive difficulties that the set E = {f n : n N} is a bounded subset of C([0, 2]) but { 0, if 0 x, sup f n (x) = n N, if < x 2, is not continuous There is no need to check that E is not equicontinuous; it can t be by part (a) Proof of (c) A trivial counterexample is to take any bounded non equicontinuous set of functions and then add a nice continuous function larger than all the functions in the set For example, let E be the set from part (b) and consider E = E {h} where h(x) = for all x [0, 2] Then se is a non equicontinuous, bounded subset of C([0, 2]) and sup{f : f E } = h is continuous Answer to the question in (d) The answer is no For n N define f n : [0, ] R by f n (x) =, if 0 x < n+, 2n(n + )x + 2n +, if n+ x < 2 ( n + n+ ), 2n(n + )x 2n, if 2 ( n + n+ ) x < n,, if n x The following graphs shows f, f 2 and f 5 :

0 f f 2 f 3 Consider the set E = {f n : n N} It is fairly obvious that this set is not equicontinuous; perhaps the most immediate way to see this is to see that no subsequence can converge uniformly If F is any finite subset of E, then sup{f(x) : f F} = max{f(x) : f F} and the maximum of a finite set of continuous functions is continuous If F is infinite, then for every x >, there will be f n F with /n x; then f n (x) = implying that sup{f(x) : f F} = If x = 0, then f n (x) = for all n N The conclusion is that if F is infinite, then sup{f(x) : f F} = for all x [0, ] Thus the continuous sup-property holds for all subsets of E, but E is not equicontinuous Some of you came up with an even easier counterexample, namely the set {f n : n N} where f n : [0, ]tor is defined by f n (x) = x n This is not an equicontinuous family; it converges pointwise to the discontinuous function f satisfying f() =, but f(x) = 0 for all x [0, ) Because it is a decreasing sequence (f f 2 ) one sees that the sup of any subset of these functions is the element of this set with the smallest index, hence in the set, hence continuous The following exercises, from Berkeley pre-lims, are optional but I think you should try to do some or all of them They are nice exercises and could appear in qualifiers Please, if you can t do them, don t do them Don t just go and copy the solution from somewhere As usual, hints are provided upon request 6 Problem 3 of the More Pre-lim Problems of the textbook, page 258 Solution Since this is the same as Exercise 22, which I placed into Homework 0, I won t provide a solution yet 7 Problem 5 of the More Pre-lim Problems of the textbook, page 259

Solution One had to prove that if (P n ) is a sequence of real polynomials of degree 0 with lim n P n (x) = 0 for all x [0, ],then (P n ) converges uniformly to 0 At first glance one would assume that this obviously has to be an application of Arzela-Ascoli A big question is whether one has to prove uniform convergence to 0 in [0, ] or in R Since R is not compact, it probably means in [0, ], but we can keep this open to the end To apply Arzela-Ascoli, we need to prove that the sequence of polynomials is bounded and equicontinuous Both will follow if we prove the coefficients of these polynomials remain bounded Because of the degree restriction, we only have coefficients to worry about If we can show the coefficients remain bounded then the polynomials and their derivatives remain bounded on bounded intervals, bounded derivatives imply equicontinuity and Arzela-Ascoli applies Of course, Arzela-Ascoli only gives us a subsequence but, since every converging subsequence must have 0 as a limit, the whole sequence converges uniformly to 0 But in trying to do this we might realize that we can bypass Arzela-Ascoli completely But we need a bit of notation Write 0 P n (x) = a nk x k, n =, 2, 3 k=0 Claim: The sequences (a nk ) n= converge to 0 as n In fact, select distinct points x,, x in (0, ] The matrix X = x x 2 x 0 x 2 x 2 2 x 0 x x 2 x 0 2 is invertible (it is a Vandermonde matrix) and we have P n (x ) a n0 P n (x 2 ) a n P n (x ) = X a n,0 Thus a n0 a n a n,0 = X P n (x ) P n (x 2 ) P n (x )

2 Writing X = (b kj ) 0 k,j 0 (it is convenient to index from 0 to 0 rather than to ), then 0 a n,k = b kj P n (x j+ ), 0 k 0, n N (4) j=0 But (P n ) converges pointwise to 0 in [0, ] thus, given ɛ > 0 there are N,, N inn such that if n N j, then P n (x j ) < ɛ/b, where B = max 0 0 k 0 j=0 b kj, for j It follows from (4) that if n max(n,, N ), then 0 0 a n,k b kj P n (x j+ ) b kj ɛ B B ɛ B = ɛ j=0 for k = 0,, 0 The claim is established It is now immediate that (P n ) converges uniformly to 0 not only on [0, ] but also on every bounded interval of R In such an interval we have x M for some M, and then for x in that interval ( 0 ) P n (x) M k max a nk 0 as n 0 k 0 k=0 Th convergence is uniform because the right hand side of the inequality above does not depend on x (as long as x M) j=0 However, uniform convergence on all of R is out A simple counterexample is taking P n (x) = n x The sequence (P n) satisfies the conditions of the exercise, yet does NOT converge uniformly to 0 on R 8 Problem 6 of the More Pre-lim Problems of the textbook, page 259 Solution To prove: Let (a n ) be a sequence of non-zero real numbers The sequence of functions f n (x) = a n sin(a n x) + cos(x + a n ) has a subsequence converging to a continuous function Solution The function x sin x/x, defined for x 0, extends to a continuous function on all of R defining its value at0 to be Since lim x sin x/x = 0, the function assumes a maximum and a minimum

3 value; in particular it is bounded There is M 0 such that sin x/x M for all x (A bit of calculus shows that M =, but that is not important) The cosine function is, of course, bounded by Thus f n (x) sin(a n x) a n + cos(x+a n) = x sin(a n x) xa n + cos(x+a n) M x + for all n N, x R It follows that the sequence (f n ) is bounded on compact (closed and bounded) intervals Moreover, thus f n(x) = cos(a n x) sin(a n x), f n(x) cos(a n x) + sin(a n x) 2 for all n N, x R By the mean value theorem, the sequence (f n ) is equicontinuous The result now follows from exercise 4, part a