Theorem 3. A subset S of a topological space X is compact if and only if every open cover of S by open sets in X has a finite subcover.

Size: px
Start display at page:

Download "Theorem 3. A subset S of a topological space X is compact if and only if every open cover of S by open sets in X has a finite subcover."

Transcription

1 Compactess Defiitio 1. A cover or a coverig of a topological space X is a family C of subsets of X whose uio is X. A subcover of a cover C is a subfamily of C which is a cover of X. A ope cover of X is a cover cosistig of ope sets. Defiitio 2. A topological space X is said to be compact if every ope cover of X has a fiite subcover. A subset S of X is said to be compact if S is compact with respect to the subspace topology. Theorem 3. A subset S of a topological space X is compact if ad oly if every ope cover of S by ope sets i X has a fiite subcover. Proof. ( ) Assume that S is a compact subset of a topology space X. Let {G α α Λ} be a collectio of ope subset of X such that S α Λ G α. Let O α = G α S for each α Λ. The O α is ope i S for each α Λ ad α Λ O α = α Λ (G α S) = ( α Λ G α ) S = S. Thus {O α α Λ} is a ope cover of S. It follows that {O α α Λ} cotais a fiite subcover {O α1, O α2,..., O α }. Hece S = i=1o αi = i=1(o αi S) = ( i=1g αi ) S. Thus S i=1g αi. ( ) Let {O α α Λ} be a ope cover of (S, τ s ). The, for each α Λ, there exists a ope set G α i X such that O α = G α S. Thus S = α Λ O α = α Λ (G α S) = ( α Λ G α ) S. Thus S α Λ G α. The there is a fiite subset {G α1, G α2,..., G α } such that S i=1g αi. It follows that S = ( i=1g αi ) S = i=1(g αi S) = i=1o αi. Hece (S, τ s ) is compact. Examples. 1. Ay fiite set is compact. I geeral, (X, τ), where τ is fiite, is compact. I particular, a idiscrete space is compact. 2. Ay ifiite discrete space is ot compact. I fact, if X is a ifiite discrete space, the {{x} x X} is a ope cover of X which has o fiite subcover. 3. R is ot compact. The class {(, ) N} is a ope cover of R which cotais o fiite subcover. 1

2 Theorem 4. A closed subset of a compact space is compact. Proof. Let (X, τ) be a compact space ad F a closed subset of X. Let C = {G α α Λ} be a family of ope subsets of X such that F α Λ G α. The X = F F c = ( α Λ G α ) F c. Thus C {F c } is a ope cover of X ad hece it has a fiite subcover {G α1, G α2,..., G α, F c }, i.e. X = ( i=1g αi ) F c. Sice F X, it follows that F i=1g αi. Thus {G α1, G α2,..., G α } is a fiite subfamily of C such that F i=1g αi. Hece, F is compact. Theorem 5. If A is a compact subset of a Hausdorff space X ad x / A, the x ad A have disjoit eighborhoods. Proof. By the Hausdorffess of X, for each y A, there are ope eighborhoods U y ad V y of x ad y, respectively, such that U y V y =. The {V y y A} is a ope cover for A, which is compact. Hece there are y 1, y 2,..., y A such that A i=1v yi. Let V = i=1v yi ad U = i=1u yi. The U ad V are eighborhoods of x ad A, respectively, ad U V =. Theorem 6. Ay compact subset of a Hausdorff space is closed. Proof. Let A be a compact subset of a Hausdorff space X. To show that A c is ope, let x A c. By the previous theorem, there are eighborhoods U ad V of x ad A, respectively, such that U V =. It follows that x U V c A c. This shows that A c is a eighborhood of x. Hece, A c is a eighborhood of all its elemets. It follows that A c is ope ad that A is closed. Theorem 7. A cotiuous image of a compact space is compact. Proof. Let f : X Y be a cotiuous fuctio from a compact space X ito a space Y. By Theorem 3, it is sufficiet to assume that f maps X oto Y ad we show that Y is compact. To see this, let {G α α Λ} be a ope cover for Y. By cotiuity of f, it follows that f 1 [G α ] is ope i X for each α ad α Λ f 1 [G α ] = f 1 [ α Λ G α ] = f 1 [Y ] = X. Hece, {f 1 [G α ] α Λ} is a ope cover for X. By the compactess of X, there are α 1, α 2,..., α Λ such that i=1f 1 [G αi ] = X. Thus Y = f[x] = f[ i=1f 1 [G αi ]] = f[f 1 [ i=1g αi ]] i=1g αi. This shows that Y is compact. 2

3 Corollary 8. Let f : X Y is a bijective cotiuous fuctio. compact ad Y is Hausdorff, the f is a homeomorphism. If X is Proof. Let f : X Y be a bijective cotiuous fuctio. Assume that X is compact ad Y is Hausdorff. To show that f is a homeomorphism, it suffices to show that f is a closed map. Let F be a closed subset of X. The F is compact by Theorem 4. By Theorem 7, f[f ] is compact i the Hausdorff space Y. Hece, f[f ] is closed i Y by Theorem 6. Theorem 9. A cotiuous fuctio of a compact metric space ito a metric space is uiformly cotiuous. Proof. Let f : (X, d) (Y, ρ) be a cotiuous fuctio betwee metric spaces. Assume that X is compact. To show that f is uiformly cotiuous, let ε > 0. By cotiuity of f, for each x X, there is a δ x > 0 such that d(y, x) < δ x = ρ(f(y), f(x)) < ε 2. The {B d (x, δx ) x X} is a ope cover for a compact space X. Hece, 2 we ca choose x 1, x 2,..., x X such that X = i=1b d (x i, δx i ). Choose 2 δ = 1 mi{d 2 x 1, d x2,..., d x }. Now, let x, y X be such that d(x, y) < δ. The x B d (x i, δx i 2 ) for some i. Hece, ρ(f(x), f(x i)) < ε 2. Moreover, d(y, x i ) d(y, x) + d(x, x i ) δ + δ x i 2 δ x i. It follows that ρ(f(y), f(x i )) < ε. By triagle iequality, 2 ρ(f(x), f(y)) ρ(f(x), f(x i )) + ρ(f(x i ), f(y)) < ε. This shows that f is uiformly cotiuous. Next we itroduce a property that measures boudedess of a subset of a metric space. We say that a o-empty set A is bouded if diam(a) <, i.e., there is a costat M > 0 such that d(x, y) M for ay x, y A. This defiitio of boudedess depeds o the metric rather tha the set itself. For example, R with the discrete metric is bouded eve though i some sese R is large. The followig defiitio of total boudedess captures this spirit. Defiitio 10. A metric space (X, d) is said to be totally bouded or precompact if for ay ε > 0, there is a fiite cover of X by sets of diameter less tha ε. Theorem 11. A metric space (X, d) is totally bouded if ad oly if for each ε > 0, X ca be covered by fiitely may ε-balls. 3

4 Proof. ( ) Let ε > 0. The there exist subsets A 1, A 1,..., A of X such that diam A i < ε for all i {1, 2,..., } ad i=1a i = X. We may assume that each A i is o-empty ad choose x i A i. If x X, the x A i for some i ad hece, d(x, x i ) diam(a i ) < ε. This show that X = i=1b d (x i, ε). ( ) Let ε > 0. The there is a fiite subset {x 1, x 2,..., x } of X such that X = i=1b d (x i, ε). Let A 4 i = B d (x i, ε ) for each i {1, 2,..., }. For each 4 a, b A i, d(a, b) d(a, x i ) + d(x i, b) < ε + ε = ε. Hece, diam(a i) < ε. Theorem 12. A subspace of a totally bouded metric space is totally bouded. Proof. Let (X, d) be a totally bouded metric space ad Y a subspace of X. Let ε > 0. The there exist A 1, A 2,..., A X such that diam A i < ε for all i {1, 2,..., } ad i=1a i = X. The diam(a i Y ) diam A i < ε for each i {1, 2,..., } ad i=1(a i Y ) = ( i=1a i ) Y = X Y = Y. Theorem 13. Every totally bouded subset of a metric space is bouded. Proof. Let (X, d) be a totally bouded metric space. The there exists a fiite subset {x 1, x 2,..., x } of X such that i=1b d (x i, 1) = X. Let K = max{d(x i, x j ) i, j {1, 2,..., }} + 2. Let x, y X. The x B d (x i, 1) ad y B d (x j, 1) for some i, j. Thus d(x, y) d(x, x i ) + d(x i, x j ) + d(x j, y) < 1 + d(x i, x j ) + 1 K, i.e. diam X K, so X is bouded. I geeral, the coverse is ot true. The space R with the discrete metric is bouded because d(x, y) 1 for all x, y R, but it caot be covered by a fiitely may balls of radius 1 2. However, it is true for R with the usual metric. Theorem 14. A bouded subset of R is totally bouded. Proof. We will prove this theorem for the case = 1. The proof for the case > 1 is similar but slightly more complicated. By Theorem 12, it suffices to prove that a closed iterval [a, b] is totally bouded. Let ε > 0. Choose a N such that (b a)/ < ε. For i = 0, 1,...,, let x i = a + i b a. The [a, b] = i=1[x i 1, x i ] ad diam([x i 1, x i ]) = x i x i 1 < ε. 4

5 Theorem 15. A metric space is totally bouded if ad oly if every sequece i it has a Cauchy subsequece. Proof. ( ) Assume that (X, d) is ot tally bouded. The there is a ε > 0 such that X caot be covered by fiitely may balls of radius ε. Let x 1 X. The B d (x 1, ε) X, so we ca choose x 2 X B d (x 1, ε). I geeral, for each N, we ca choose x +1 X i=1b d (x i, ε). If m >, the x m / B d (x, ε), ad thus d(x m, x ) ε. It is easy to see that (x ) has o Cauchy subsequece. ( ) Assume that (X, d) is totally bouded ad let (x ) be a sequece i (X, d). Set B 0 = X. There exist A 11, A 12,..., A 11 X such that 1 diam A 1i < 1 for all i {1, 2,..., 1 } ad A 1i = X. At least oe of these A 1i s, called B 1, must cotai ifiitely may terms of (x ). Let (x 11, x 12,... ) be a subsequece of (x ) which lies etirely i B 1. Sice B 1 X, it is totally bouded. There are A 21,..., A 22 B 1 such that diam A 2i < 1 2 for all i {1, 2,..., 2 2} ad A 2i = B 1. At least oe of these A 2i s, called B 2, must cotai ifiitely may terms of (x 1 ). The diam B 2 < 1 ad we ca choose a subsequece (x 2 21, x 22, x 23,... ) of (x 11, x 12, x 13,... ) i B 2. We ca cotiue this process. To make this argumet more precise, we will give a iductive costructio. Assume that we ca choose B i B i 1 with diam B i < 1 ad a subsequece i (x i1, x i2, x i3,... ) of (x (i 1)1, x (i 1)2, x (i 1)3,... ) i B i for all i {1, 2,..., k 1}. Sice B k 1 B k 2... B 1 B 0 = X, B k 1 is totally bouded. The there exist A k1, A k2,..., A kk B k 1 such that diam A kj < 1 k for all j {1, 2,..., k k} ad A ki = B k 1. At least oe of these A ki s, called B k, must cotai ifiitely may terms of (x k 1, ). Hece B k B k 1, diam B k < 1 ad we ca choose a subsequece k (x k1, x k2, x k3,... ) of (x (k 1)1, x (k 1)2, x (k 1)3,... ) which lies etirely i B k. Now we choose the diagoal elemets (x 11, x 22, x 33,... ) from the above subsequeces. This is to guaratee that the idex of the chose subsequece is strictly icreasig. To see that it is a Cauchy subsequece of (x ), let ε > 0. Choose a N N such that 1 < ε. Let m, N be such that m, N. N The x mm B m B N ad x B B N. Thus d(x mm, x ) diam B N < 1 N < ε. Hece (x ) is a Cauchy subsequece of (x ). 5 i=1 i=1 i=1

6 Defiitio 16. A space X is said to be sequetially compact if every sequece i X has a coverget subsequece. Theorem 17. A metric space X is sequetially compact if ad oly if it is complete ad totally bouded. Proof. ( ) Let (X, d) be a sequetially compact space. By Theorem 15, it is totally bouded because a coverget sequece is a Cauchy sequece. To see that it is complete, let (x ) be a Cauchy sequece i X. Sice X is sequetially compact, it has a coverget subsequece. Hece, (x ) is coverget. It follows that X is complete. ( ) Assume that (X, d) is totally bouded ad complete. To see that X is sequetially compact, let (x ) be a sequece i X. By Theorem 15, it has a Cauchy subsequece (x k ). Sice (X, d) is complete, (x k ) is coverget. Hece, (x ) has a coverget subsequece. This shows that X is sequetially compact. Defiitio 18. Let C be a cover of a metric space X. A Lebesgue umber for C is a positive umber λ such that ay subset of X of diameter less tha or equal to λ is cotaied i some member of C. Remark. If λ is a Lebesgue umber, the so is ay λ > 0 such that λ λ. Example. Let X = (0, 1) R ad C = {( 1, 1) 2}. The C is a ope cover for X, but it has o Lebesgue umber. To see this, let λ > 0. Choose a positive iteger such that 1 < λ. Let A = (0, 1 ) X. The diam(a) = 1 < λ, but A is ot cotaied i ay member of C. Hece C has o Lebesgue umber. Theorem 19. Every ope cover of a sequetially compact metric space has a Lebesgue umber. Proof. Let C be a ope cover of a sequetially compact metric space (X, d). Suppose that C does ot have a Lebesgue umber. The for each N there exists a subset B of X such that diam(b ) 1 ad B G for all G C. For each N, choose x B. Sice X is sequetially compact, the sequece (x ) cotais a coverget subsequece (x k ). Let x X be the limit of this subsequece. The x G 0 for some G 0 C. Sice G 0 is ope, there exists ε > 0 such that B d (x, ε) G 0. Sice (x k ) coverges to x, there exists a iteger N such that d(x k, x) < ε 2 for ay k N. 6

7 Choose M N such that 1 M < ε 2. Let K = max{m, N}. The K K M. Hece, Moreover, For ay y B K, we have d(x K, x) < ε 2 ad x K B K. diam(b K ) 1 K < ε 2. d(x, y) d(x, x K ) + d(x K, y) < ε 2 + ε 2 = ε. Hece y B d (x, ε). The B K that B K G for all G C. B d (x, ε) G 0. This cotradicts the fact Defiitio 20. A space X is said to satisfy the Bolzao-Weierstrass property if every ifiite subset has a accumulatio poit i X. Theorem 21. I a metric space X, the followig statemets are equivalet: (a) X is compact; (b) X has the Bolzao-Weierstrass property; (c) X is sequetially compact; (d) X is complete ad totally bouded. Proof. We have already proved (c) (d) i Theorem 17. (a) (b). Let (X, d) be a compact metric space ad S a ifiite subset of X. Suppose that S has o accumulatio poit. The for each x X there exists a ope eighborhood V x such that V x (S {x}) =. Hece, C = {V x x X} is a ope cover of X. Sice X is compact, there exists a fiite subcover {V x1, V x2,..., V x } of C. Sice each ball cotais at most oe poit of S, X = i=1v xi cotais fiitely may poits of S. Hece, S is fiite, cotrary to the hypothesis. (b) (c). Assume that X has the Bolzao-Weierstrass property. To show that X is sequetially compact, let (x ) be a sequece i X. Case I. The set S = {x N} is fiite. The there is a X such that x = a for ifiitely may s. Choose 1 = mi{ N x = a} ad for ay k 2, let k = mi({ N x = a} { 1, 2,..., k 1 }). The (x k ) is a costat subsequece of (x ) ad hece is coverget. 7

8 Case II. The set S = {x N} is ifiite. By the assumptio, S has a accumulatio poit x (i X). For each N, B d (x, 1 ) (S {x}) ; i fact, B d (x, 1 ) (S {x}) is a ifiite set. Let 1 = mi{ N x B d (x, 1) (S {x})} ad k = mi({ N x B d (x, 1 k ) (S {x})} { 1,..., k 1 }), for ay k 2. The (x k ) is a subsequece of (x ) such that d(x k, x) < 1 k for each k N. Hece (x k ) coverges to x. (c) (a). Assume that (X, d) is a sequetially compact metric space. Let C be a ope cover for X. Hece C has a Lebesgue umber λ > 0. Moreover, X is totally bouded. Thus there exist A 1, A 2,..., A X such that X = i=1a i ad diam(a i ) λ for each i. Hece for each i {1, 2,..., }, there exists G i C such that A i G i. Thus X = i=1g i. This shows that C has a fiite subcover. Hece X is compact. Theorem 22 (Heie-Borel). A subset of R is compact if ad oly if it is closed ad bouded. Proof. By Theorem 21, a metric space is compact if ad oly if it is complete ad totally bouded. Hece, if a subset of R is compact, the it is closed ad bouded. (I fact, we ca prove directly that compactess implies a set beig closed ad bouded without usig Theorem 21.) Coversely, let A be a closed ad bouded subset of R. By Theorem 14, A is totally bouded. Sice A is closed subset of R, which is complete, A is also complete. Hece, A is compact. Corollary 23 (Extreme Value Theorem). A real-valued cotiuous fuctio o a compact space has a maximum ad a miimum. Proof. Assume that f : X R is a cotiuous fuctio ad X is compact. By Theorem 7, f[x] is a compact subset of R. Hece, f[x] is closed ad bouded. Let a = if f[x] ad b = sup f[x]. Sice f[x] is closed, a ad b are i f[x]. Thus a ad b are maximum ad miimum of f[x], respectively. Theorem 24 (Bolzao-Weierstrass). Every bouded ifiite subset of R has at least oe accumulatio poit (i R ). Proof. Let A be a bouded ifiite subset of R. Sice A is bouded, it is cotaied i some closed cube I = [, ] [, ]. Sice I is closed ad bouded, it is compact by Heie-Borel theorem. Sice A is a ifiite subset of a compact set I, it must have a accumulatio poit (i R ) by Theorem 21. 8

9 Theorem 25. Every bouded sequece i R has a coverget subsequece. Proof. Let (x ) be a bouded sequece i R. Hece it is cotaied i some closed cube I = [, ] [, ]. Sice I is closed ad bouded, it is compact by Heie-Borel theorem. The I is sequetially compact. This implies that (x ) has a coverget subsequece. 9

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS

REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS REAL ANALYSIS II: PROBLEM SET 1 - SOLUTIONS 18th Feb, 016 Defiitio (Lipschitz fuctio). A fuctio f : R R is said to be Lipschitz if there exists a positive real umber c such that for ay x, y i the domai

More information

Metric Space Properties

Metric Space Properties Metric Space Properties Math 40 Fial Project Preseted by: Michael Brow, Alex Cordova, ad Alyssa Sachez We have already poited out ad will recogize throughout this book the importace of compact sets. All

More information

Part A, for both Section 200 and Section 501

Part A, for both Section 200 and Section 501 Istructios Please write your solutios o your ow paper. These problems should be treated as essay questios. A problem that says give a example or determie requires a supportig explaatio. I all problems,

More information

Math Solutions to homework 6

Math Solutions to homework 6 Math 175 - Solutios to homework 6 Cédric De Groote November 16, 2017 Problem 1 (8.11 i the book): Let K be a compact Hermitia operator o a Hilbert space H ad let the kerel of K be {0}. Show that there

More information

1 Introduction. 1.1 Notation and Terminology

1 Introduction. 1.1 Notation and Terminology 1 Itroductio You have already leared some cocepts of calculus such as limit of a sequece, limit, cotiuity, derivative, ad itegral of a fuctio etc. Real Aalysis studies them more rigorously usig a laguage

More information

Topologie. Musterlösungen

Topologie. Musterlösungen Fakultät für Mathematik Sommersemester 2018 Marius Hiemisch Topologie Musterlösuge Aufgabe (Beispiel 1.2.h aus Vorlesug). Es sei X eie Mege ud R Abb(X, R) eie Uteralgebra, d.h. {kostate Abbilduge} R ud

More information

FUNDAMENTALS OF REAL ANALYSIS by

FUNDAMENTALS OF REAL ANALYSIS by FUNDAMENTALS OF REAL ANALYSIS by Doğa Çömez Backgroud: All of Math 450/1 material. Namely: basic set theory, relatios ad PMI, structure of N, Z, Q ad R, basic properties of (cotiuous ad differetiable)

More information

HOMEWORK #4 - MA 504

HOMEWORK #4 - MA 504 HOMEWORK #4 - MA 504 PAULINHO TCHATCHATCHA Chapter 2, problem 19. (a) If A ad B are disjoit closed sets i some metric space X, prove that they are separated. (b) Prove the same for disjoit ope set. (c)

More information

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that

f n (x) f m (x) < ɛ/3 for all x A. By continuity of f n and f m we can find δ > 0 such that d(x, x 0 ) < δ implies that Lecture 15 We have see that a sequece of cotiuous fuctios which is uiformly coverget produces a limit fuctio which is also cotiuous. We shall stregthe this result ow. Theorem 1 Let f : X R or (C) be a

More information

MATH 413 FINAL EXAM. f(x) f(y) M x y. x + 1 n

MATH 413 FINAL EXAM. f(x) f(y) M x y. x + 1 n MATH 43 FINAL EXAM Math 43 fial exam, 3 May 28. The exam starts at 9: am ad you have 5 miutes. No textbooks or calculators may be used durig the exam. This exam is prited o both sides of the paper. Good

More information

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion

Archimedes - numbers for counting, otherwise lengths, areas, etc. Kepler - geometry for planetary motion Topics i Aalysis 3460:589 Summer 007 Itroductio Ree descartes - aalysis (breaig dow) ad sythesis Sciece as models of ature : explaatory, parsimoious, predictive Most predictios require umerical values,

More information

Council for Innovative Research

Council for Innovative Research ABSTRACT ON ABEL CONVERGENT SERIES OF FUNCTIONS ERDAL GÜL AND MEHMET ALBAYRAK Yildiz Techical Uiversity, Departmet of Mathematics, 34210 Eseler, Istabul egul34@gmail.com mehmetalbayrak12@gmail.com I this

More information

Notes #3 Sequences Limit Theorems Monotone and Subsequences Bolzano-WeierstraßTheorem Limsup & Liminf of Sequences Cauchy Sequences and Completeness

Notes #3 Sequences Limit Theorems Monotone and Subsequences Bolzano-WeierstraßTheorem Limsup & Liminf of Sequences Cauchy Sequences and Completeness Notes #3 Sequeces Limit Theorems Mootoe ad Subsequeces Bolzao-WeierstraßTheorem Limsup & Limif of Sequeces Cauchy Sequeces ad Completeess This sectio of otes focuses o some of the basics of sequeces of

More information

ANSWERS TO MIDTERM EXAM # 2

ANSWERS TO MIDTERM EXAM # 2 MATH 03, FALL 003 ANSWERS TO MIDTERM EXAM # PENN STATE UNIVERSITY Problem 1 (18 pts). State ad prove the Itermediate Value Theorem. Solutio See class otes or Theorem 5.6.1 from our textbook. Problem (18

More information

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B)

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B) Real Numbers The least upper boud - Let B be ay subset of R B is bouded above if there is a k R such that x k for all x B - A real umber, k R is a uique least upper boud of B, ie k = LUB(B), if () k is

More information

1 Lecture 2: Sequence, Series and power series (8/14/2012)

1 Lecture 2: Sequence, Series and power series (8/14/2012) Summer Jump-Start Program for Aalysis, 202 Sog-Yig Li Lecture 2: Sequece, Series ad power series (8/4/202). More o sequeces Example.. Let {x } ad {y } be two bouded sequeces. Show lim sup (x + y ) lim

More information

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS

A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS Acta Math. Hugar., 2007 DOI: 10.1007/s10474-007-7013-6 A NOTE ON INVARIANT SETS OF ITERATED FUNCTION SYSTEMS L. L. STACHÓ ad L. I. SZABÓ Bolyai Istitute, Uiversity of Szeged, Aradi vértaúk tere 1, H-6720

More information

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck!

University of Colorado Denver Dept. Math. & Stat. Sciences Applied Analysis Preliminary Exam 13 January 2012, 10:00 am 2:00 pm. Good luck! Uiversity of Colorado Dever Dept. Math. & Stat. Scieces Applied Aalysis Prelimiary Exam 13 Jauary 01, 10:00 am :00 pm Name: The proctor will let you read the followig coditios before the exam begis, ad

More information

MATH 112: HOMEWORK 6 SOLUTIONS. Problem 1: Rudin, Chapter 3, Problem s k < s k < 2 + s k+1

MATH 112: HOMEWORK 6 SOLUTIONS. Problem 1: Rudin, Chapter 3, Problem s k < s k < 2 + s k+1 MATH 2: HOMEWORK 6 SOLUTIONS CA PRO JIRADILOK Problem. If s = 2, ad Problem : Rudi, Chapter 3, Problem 3. s + = 2 + s ( =, 2, 3,... ), prove that {s } coverges, ad that s < 2 for =, 2, 3,.... Proof. The

More information

Introduction to Functional Analysis

Introduction to Functional Analysis MIT OpeCourseWare http://ocw.mit.edu 18.10 Itroductio to Fuctioal Aalysis Sprig 009 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. LECTURE OTES FOR 18.10,

More information

A NOTE ON LEBESGUE SPACES

A NOTE ON LEBESGUE SPACES Volume 6, 1981 Pages 363 369 http://topology.aubur.edu/tp/ A NOTE ON LEBESGUE SPACES by Sam B. Nadler, Jr. ad Thelma West Topology Proceedigs Web: http://topology.aubur.edu/tp/ Mail: Topology Proceedigs

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

MAS111 Convergence and Continuity

MAS111 Convergence and Continuity MAS Covergece ad Cotiuity Key Objectives At the ed of the course, studets should kow the followig topics ad be able to apply the basic priciples ad theorems therei to solvig various problems cocerig covergece

More information

Real Analysis Fall 2004 Take Home Test 1 SOLUTIONS. < ε. Hence lim

Real Analysis Fall 2004 Take Home Test 1 SOLUTIONS. < ε. Hence lim Real Aalysis Fall 004 Take Home Test SOLUTIONS. Use the defiitio of a limit to show that (a) lim si = 0 (b) Proof. Let ε > 0 be give. Defie N >, where N is a positive iteger. The for ε > N, si 0 < si

More information

Fall 2013 MTH431/531 Real analysis Section Notes

Fall 2013 MTH431/531 Real analysis Section Notes Fall 013 MTH431/531 Real aalysis Sectio 8.1-8. Notes Yi Su 013.11.1 1. Defiitio of uiform covergece. We look at a sequece of fuctios f (x) ad study the coverget property. Notice we have two parameters

More information

Sequences and Series of Functions

Sequences and Series of Functions Chapter 6 Sequeces ad Series of Fuctios 6.1. Covergece of a Sequece of Fuctios Poitwise Covergece. Defiitio 6.1. Let, for each N, fuctio f : A R be defied. If, for each x A, the sequece (f (x)) coverges

More information

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Convergence of random variables. (telegram style notes) P.J.C. Spreij Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space

More information

Final Solutions. 1. (25pts) Define the following terms. Be as precise as you can.

Final Solutions. 1. (25pts) Define the following terms. Be as precise as you can. Mathematics H104 A. Ogus Fall, 004 Fial Solutios 1. (5ts) Defie the followig terms. Be as recise as you ca. (a) (3ts) A ucoutable set. A ucoutable set is a set which ca ot be ut ito bijectio with a fiite

More information

Limit superior and limit inferior c Prof. Philip Pennance 1 -Draft: April 17, 2017

Limit superior and limit inferior c Prof. Philip Pennance 1 -Draft: April 17, 2017 Limit erior ad limit iferior c Prof. Philip Peace -Draft: April 7, 207. Defiitio. The limit erior of a sequece a is the exteded real umber defied by lim a = lim a k k Similarly, the limit iferior of a

More information

Mathematical Methods for Physics and Engineering

Mathematical Methods for Physics and Engineering Mathematical Methods for Physics ad Egieerig Lecture otes Sergei V. Shabaov Departmet of Mathematics, Uiversity of Florida, Gaiesville, FL 326 USA CHAPTER The theory of covergece. Numerical sequeces..

More information

Math 61CM - Solutions to homework 3

Math 61CM - Solutions to homework 3 Math 6CM - Solutios to homework 3 Cédric De Groote October 2 th, 208 Problem : Let F be a field, m 0 a fixed oegative iteger ad let V = {a 0 + a x + + a m x m a 0,, a m F} be the vector space cosistig

More information

} is said to be a Cauchy sequence provided the following condition is true.

} is said to be a Cauchy sequence provided the following condition is true. Math 4200, Fial Exam Review I. Itroductio to Proofs 1. Prove the Pythagorea theorem. 2. Show that 43 is a irratioal umber. II. Itroductio to Logic 1. Costruct a truth table for the statemet ( p ad ~ r

More information

lim za n n = z lim a n n.

lim za n n = z lim a n n. Lecture 6 Sequeces ad Series Defiitio 1 By a sequece i a set A, we mea a mappig f : N A. It is customary to deote a sequece f by {s } where, s := f(). A sequece {z } of (complex) umbers is said to be coverget

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

n p (Ω). This means that the

n p (Ω). This means that the Sobolev s Iequality, Poicaré Iequality ad Compactess I. Sobolev iequality ad Sobolev Embeddig Theorems Theorem (Sobolev s embeddig theorem). Give the bouded, ope set R with 3 ad p

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

Properties of Fuzzy Length on Fuzzy Set

Properties of Fuzzy Length on Fuzzy Set Ope Access Library Joural 206, Volume 3, e3068 ISSN Olie: 2333-972 ISSN Prit: 2333-9705 Properties of Fuzzy Legth o Fuzzy Set Jehad R Kider, Jaafar Imra Mousa Departmet of Mathematics ad Computer Applicatios,

More information

PRELIM PROBLEM SOLUTIONS

PRELIM PROBLEM SOLUTIONS PRELIM PROBLEM SOLUTIONS THE GRAD STUDENTS + KEN Cotets. Complex Aalysis Practice Problems 2. 2. Real Aalysis Practice Problems 2. 4 3. Algebra Practice Problems 2. 8. Complex Aalysis Practice Problems

More information

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number MATH 532 Itegrable Fuctios Dr. Neal, WKU We ow shall defie what it meas for a measurable fuctio to be itegrable, show that all itegral properties of simple fuctios still hold, ad the give some coditios

More information

Solution. 1 Solutions of Homework 1. Sangchul Lee. October 27, Problem 1.1

Solution. 1 Solutions of Homework 1. Sangchul Lee. October 27, Problem 1.1 Solutio Sagchul Lee October 7, 017 1 Solutios of Homework 1 Problem 1.1 Let Ω,F,P) be a probability space. Show that if {A : N} F such that A := lim A exists, the PA) = lim PA ). Proof. Usig the cotiuity

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n =

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n = 60. Ratio ad root tests 60.1. Absolutely coverget series. Defiitio 13. (Absolute covergece) A series a is called absolutely coverget if the series of absolute values a is coverget. The absolute covergece

More information

Math 220A Fall 2007 Homework #2. Will Garner A

Math 220A Fall 2007 Homework #2. Will Garner A Math 0A Fall 007 Homewor # Will Garer Pg 3 #: Show that {cis : a o-egative iteger} is dese i T = {z œ : z = }. For which values of q is {cis(q): a o-egative iteger} dese i T? To show that {cis : a o-egative

More information

M17 MAT25-21 HOMEWORK 5 SOLUTIONS

M17 MAT25-21 HOMEWORK 5 SOLUTIONS M17 MAT5-1 HOMEWORK 5 SOLUTIONS 1. To Had I Cauchy Codesatio Test. Exercise 1: Applicatio of the Cauchy Codesatio Test Use the Cauchy Codesatio Test to prove that 1 diverges. Solutio 1. Give the series

More information

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size. Lecture 7: Measure ad Category The Borel hierarchy classifies subsets of the reals by their topological complexity. Aother approach is to classify them by size. Filters ad Ideals The most commo measure

More information

Measure and Measurable Functions

Measure and Measurable Functions 3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies

More information

Topics. Homework Problems. MATH 301 Introduction to Analysis Chapter Four Sequences. 1. Definition of convergence of sequences.

Topics. Homework Problems. MATH 301 Introduction to Analysis Chapter Four Sequences. 1. Definition of convergence of sequences. MATH 301 Itroductio to Aalysis Chapter Four Sequeces Topics 1. Defiitio of covergece of sequeces. 2. Fidig ad provig the limit of sequeces. 3. Bouded covergece theorem: Theorem 4.1.8. 4. Theorems 4.1.13

More information

Solutions to home assignments (sketches)

Solutions to home assignments (sketches) Matematiska Istitutioe Peter Kumli 26th May 2004 TMA401 Fuctioal Aalysis MAN670 Applied Fuctioal Aalysis 4th quarter 2003/2004 All documet cocerig the course ca be foud o the course home page: http://www.math.chalmers.se/math/grudutb/cth/tma401/

More information

5 Many points of continuity

5 Many points of continuity Tel Aviv Uiversity, 2013 Measure ad category 40 5 May poits of cotiuity 5a Discotiuous derivatives.............. 40 5b Baire class 1 (classical)............... 42 5c Baire class 1 (moder)...............

More information

MA541 : Real Analysis. Tutorial and Practice Problems - 1 Hints and Solutions

MA541 : Real Analysis. Tutorial and Practice Problems - 1 Hints and Solutions MA54 : Real Aalysis Tutorial ad Practice Problems - Hits ad Solutios. Suppose that S is a oempty subset of real umbers that is bouded (i.e. bouded above as well as below). Prove that if S sup S. What ca

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

Sequences and Series

Sequences and Series Sequeces ad Series Sequeces of real umbers. Real umber system We are familiar with atural umbers ad to some extet the ratioal umbers. While fidig roots of algebraic equatios we see that ratioal umbers

More information

Math 341 Lecture #31 6.5: Power Series

Math 341 Lecture #31 6.5: Power Series Math 341 Lecture #31 6.5: Power Series We ow tur our attetio to a particular kid of series of fuctios, amely, power series, f(x = a x = a 0 + a 1 x + a 2 x 2 + where a R for all N. I terms of a series

More information

Real Variables II Homework Set #5

Real Variables II Homework Set #5 Real Variables II Homework Set #5 Name: Due Friday /0 by 4pm (at GOS-4) Istructios: () Attach this page to the frot of your homework assigmet you tur i (or write each problem before your solutio). () Please

More information

Singular Continuous Measures by Michael Pejic 5/14/10

Singular Continuous Measures by Michael Pejic 5/14/10 Sigular Cotiuous Measures by Michael Peic 5/4/0 Prelimiaries Give a set X, a σ-algebra o X is a collectio of subsets of X that cotais X ad ad is closed uder complemetatio ad coutable uios hece, coutable

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

McGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected problems

McGill University Math 354: Honors Analysis 3 Fall 2012 Solutions to selected problems McGill Uiversity Math 354: Hoors Aalysis 3 Fall 212 Assigmet 3 Solutios to selected problems Problem 1. Lipschitz fuctios. Let Lip K be the set of all fuctios cotiuous fuctios o [, 1] satisfyig a Lipschitz

More information

Dupuy Complex Analysis Spring 2016 Homework 02

Dupuy Complex Analysis Spring 2016 Homework 02 Dupuy Complex Aalysis Sprig 206 Homework 02. (CUNY, Fall 2005) Let D be the closed uit disc. Let g be a sequece of aalytic fuctios covergig uiformly to f o D. (a) Show that g coverges. Solutio We have

More information

page Suppose that S 0, 1 1, 2.

page Suppose that S 0, 1 1, 2. page 10 1. Suppose that S 0, 1 1,. a. What is the set of iterior poits of S? The set of iterior poits of S is 0, 1 1,. b. Give that U is the set of iterior poits of S, evaluate U. 0, 1 1, 0, 1 1, S. The

More information

n=1 a n is the sequence (s n ) n 1 n=1 a n converges to s. We write a n = s, n=1 n=1 a n

n=1 a n is the sequence (s n ) n 1 n=1 a n converges to s. We write a n = s, n=1 n=1 a n Series. Defiitios ad first properties A series is a ifiite sum a + a + a +..., deoted i short by a. The sequece of partial sums of the series a is the sequece s ) defied by s = a k = a +... + a,. k= Defiitio

More information

Ma 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5

Ma 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5 Ma 42: Itroductio to Lebesgue Itegratio Solutios to Homework Assigmet 5 Prof. Wickerhauser Due Thursday, April th, 23 Please retur your solutios to the istructor by the ed of class o the due date. You

More information

NBHM QUESTION 2007 Section 1 : Algebra Q1. Let G be a group of order n. Which of the following conditions imply that G is abelian?

NBHM QUESTION 2007 Section 1 : Algebra Q1. Let G be a group of order n. Which of the following conditions imply that G is abelian? NBHM QUESTION 7 NBHM QUESTION 7 NBHM QUESTION 7 Sectio : Algebra Q Let G be a group of order Which of the followig coditios imply that G is abelia? 5 36 Q Which of the followig subgroups are ecesarily

More information

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and

MATH301 Real Analysis (2008 Fall) Tutorial Note #7. k=1 f k (x) converges pointwise to S(x) on E if and MATH01 Real Aalysis (2008 Fall) Tutorial Note #7 Sequece ad Series of fuctio 1: Poitwise Covergece ad Uiform Covergece Part I: Poitwise Covergece Defiitio of poitwise covergece: A sequece of fuctios f

More information

Best bounds for dispersion of ratio block sequences for certain subsets of integers

Best bounds for dispersion of ratio block sequences for certain subsets of integers Aales Mathematicae et Iformaticae 49 (08 pp. 55 60 doi: 0.33039/ami.08.05.006 http://ami.ui-eszterhazy.hu Best bouds for dispersio of ratio block sequeces for certai subsets of itegers József Bukor Peter

More information

d) If the sequence of partial sums converges to a limit L, we say that the series converges and its

d) If the sequence of partial sums converges to a limit L, we say that the series converges and its Ifiite Series. Defiitios & covergece Defiitio... Let {a } be a sequece of real umbers. a) A expressio of the form a + a +... + a +... is called a ifiite series. b) The umber a is called as the th term

More information

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial.

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial. Taylor Polyomials ad Taylor Series It is ofte useful to approximate complicated fuctios usig simpler oes We cosider the task of approximatig a fuctio by a polyomial If f is at least -times differetiable

More information

Lecture 15: Consequences of Continuity. Theorem Suppose a; b 2 R, a<b, and f :[a; b]! R. If f is continuous and s 2 R is

Lecture 15: Consequences of Continuity. Theorem Suppose a; b 2 R, a<b, and f :[a; b]! R. If f is continuous and s 2 R is Lecture 15: Cosequeces of Cotiuity 15.1 Itermediate Value Theorem The followig result is kow as the Itermediate Value Theorem. Theorem Suppose a; b 2 R, a

More information

MA131 - Analysis 1. Workbook 3 Sequences II

MA131 - Analysis 1. Workbook 3 Sequences II MA3 - Aalysis Workbook 3 Sequeces II Autum 2004 Cotets 2.8 Coverget Sequeces........................ 2.9 Algebra of Limits......................... 2 2.0 Further Useful Results........................

More information

MATH 312 Midterm I(Spring 2015)

MATH 312 Midterm I(Spring 2015) MATH 3 Midterm I(Sprig 05) Istructor: Xiaowei Wag Feb 3rd, :30pm-3:50pm, 05 Problem (0 poits). Test for covergece:.. 3.. p, p 0. (coverges for p < ad diverges for p by ratio test.). ( coverges, sice (log

More information

A Proof of Birkhoff s Ergodic Theorem

A Proof of Birkhoff s Ergodic Theorem A Proof of Birkhoff s Ergodic Theorem Joseph Hora September 2, 205 Itroductio I Fall 203, I was learig the basics of ergodic theory, ad I came across this theorem. Oe of my supervisors, Athoy Quas, showed

More information

2.1. Convergence in distribution and characteristic functions.

2.1. Convergence in distribution and characteristic functions. 3 Chapter 2. Cetral Limit Theorem. Cetral limit theorem, or DeMoivre-Laplace Theorem, which also implies the wea law of large umbers, is the most importat theorem i probability theory ad statistics. For

More information

Introductory Analysis I Fall 2014 Homework #7 Solutions

Introductory Analysis I Fall 2014 Homework #7 Solutions Itroductory Aalysis I Fall 214 Homework #7 Solutios Note: There were a couple of typos/omissios i the formulatio of this homework. Some of them were, I believe, quite obvious. The fact that the statemet

More information

ON THE EXTENDED AND ALLAN SPECTRA AND TOPOLOGICAL RADII. Hugo Arizmendi-Peimbert, Angel Carrillo-Hoyo, and Jairo Roa-Fajardo

ON THE EXTENDED AND ALLAN SPECTRA AND TOPOLOGICAL RADII. Hugo Arizmendi-Peimbert, Angel Carrillo-Hoyo, and Jairo Roa-Fajardo Opuscula Mathematica Vol. 32 No. 2 2012 http://dx.doi.org/10.7494/opmath.2012.32.2.227 ON THE EXTENDED AND ALLAN SPECTRA AND TOPOLOGICAL RADII Hugo Arizmedi-Peimbert, Agel Carrillo-Hoyo, ad Jairo Roa-Fajardo

More information

Analytic Continuation

Analytic Continuation Aalytic Cotiuatio The stadard example of this is give by Example Let h (z) = 1 + z + z 2 + z 3 +... kow to coverge oly for z < 1. I fact h (z) = 1/ (1 z) for such z. Yet H (z) = 1/ (1 z) is defied for

More information

On Topologically Finite Spaces

On Topologically Finite Spaces saqartvelos mecierebata erovuli aademiis moambe, t 9, #, 05 BULLETIN OF THE GEORGIAN NATIONAL ACADEMY OF SCIENCES, vol 9, o, 05 Mathematics O Topologically Fiite Spaces Giorgi Vardosaidze St Adrew the

More information

Introduction to Optimization Techniques

Introduction to Optimization Techniques Itroductio to Optimizatio Techiques Basic Cocepts of Aalysis - Real Aalysis, Fuctioal Aalysis 1 Basic Cocepts of Aalysis Liear Vector Spaces Defiitio: A vector space X is a set of elemets called vectors

More information

Chapter 7 Isoperimetric problem

Chapter 7 Isoperimetric problem Chapter 7 Isoperimetric problem Recall that the isoperimetric problem (see the itroductio its coectio with ido s proble) is oe of the most classical problem of a shape optimizatio. It ca be formulated

More information

2 Banach spaces and Hilbert spaces

2 Banach spaces and Hilbert spaces 2 Baach spaces ad Hilbert spaces Tryig to do aalysis i the ratioal umbers is difficult for example cosider the set {x Q : x 2 2}. This set is o-empty ad bouded above but does ot have a least upper boud

More information

3. Sequences. 3.1 Basic definitions

3. Sequences. 3.1 Basic definitions 3. Sequeces 3.1 Basic defiitios Defiitio 3.1 A (ifiite) sequece is a fuctio from the aturals to the real umbers. That is, it is a assigmet of a real umber to every atural umber. Commet 3.1 This is the

More information

Math 140A Elementary Analysis Homework Questions 3-1

Math 140A Elementary Analysis Homework Questions 3-1 Math 0A Elemetary Aalysis Homework Questios -.9 Limits Theorems for Sequeces Suppose that lim x =, lim y = 7 ad that all y are o-zero. Detarime the followig limits: (a) lim(x + y ) (b) lim y x y Let s

More information

ON THE FUZZY METRIC SPACES

ON THE FUZZY METRIC SPACES The Joural of Mathematics ad Computer Sciece Available olie at http://www.tjmcs.com The Joural of Mathematics ad Computer Sciece Vol.2 No.3 2) 475-482 ON THE FUZZY METRIC SPACES Received: July 2, Revised:

More information

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology Advaced Aalysis Mi Ya Departmet of Mathematics Hog Kog Uiversity of Sciece ad Techology September 3, 009 Cotets Limit ad Cotiuity 7 Limit of Sequece 8 Defiitio 8 Property 3 3 Ifiity ad Ifiitesimal 8 4

More information

Sequences and Limits

Sequences and Limits Chapter Sequeces ad Limits Let { a } be a sequece of real or complex umbers A ecessary ad sufficiet coditio for the sequece to coverge is that for ay ɛ > 0 there exists a iteger N > 0 such that a p a q

More information

PRACTICE FINAL/STUDY GUIDE SOLUTIONS

PRACTICE FINAL/STUDY GUIDE SOLUTIONS Last edited December 9, 03 at 4:33pm) Feel free to sed me ay feedback, icludig commets, typos, ad mathematical errors Problem Give the precise meaig of the followig statemets i) a f) L ii) a + f) L iii)

More information

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS EDUARD KONTOROVICH Abstract. I this work we uify ad geeralize some results about chaos ad sesitivity. Date: March 1, 005. 1 1. Symbolic Dyamics Defiitio

More information

Homework 1 Solutions. The exercises are from Foundations of Mathematical Analysis by Richard Johnsonbaugh and W.E. Pfaffenberger.

Homework 1 Solutions. The exercises are from Foundations of Mathematical Analysis by Richard Johnsonbaugh and W.E. Pfaffenberger. Homewor 1 Solutios Math 171, Sprig 2010 Hery Adams The exercises are from Foudatios of Mathematical Aalysis by Richard Johsobaugh ad W.E. Pfaffeberger. 2.2. Let h : X Y, g : Y Z, ad f : Z W. Prove that

More information

Functional Analysis I

Functional Analysis I Fuctioal Aalysis I Term 1, 2009 2010 Vassili Gelfreich Cotets 1 Vector spaces 1 1.1 Defiitio................................. 1 1.2 Examples of vector spaces....................... 2 1.3 Hamel bases...............................

More information

1 Convergence in Probability and the Weak Law of Large Numbers

1 Convergence in Probability and the Weak Law of Large Numbers 36-752 Advaced Probability Overview Sprig 2018 8. Covergece Cocepts: i Probability, i L p ad Almost Surely Istructor: Alessadro Rialdo Associated readig: Sec 2.4, 2.5, ad 4.11 of Ash ad Doléas-Dade; Sec

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

More information

TERMWISE DERIVATIVES OF COMPLEX FUNCTIONS

TERMWISE DERIVATIVES OF COMPLEX FUNCTIONS TERMWISE DERIVATIVES OF COMPLEX FUNCTIONS This writeup proves a result that has as oe cosequece that ay complex power series ca be differetiated term-by-term withi its disk of covergece The result has

More information

2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F.

2.1. The Algebraic and Order Properties of R Definition. A binary operation on a set F is a function B : F F! F. CHAPTER 2 The Real Numbers 2.. The Algebraic ad Order Properties of R Defiitio. A biary operatio o a set F is a fuctio B : F F! F. For the biary operatios of + ad, we replace B(a, b) by a + b ad a b, respectively.

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

TRUE/FALSE QUESTIONS FOR SEQUENCES

TRUE/FALSE QUESTIONS FOR SEQUENCES MAT1026 CALCULUS II 21.02.2012 Dokuz Eylül Üiversitesi Fe Fakültesi Matematik Bölümü Istructor: Egi Mermut web: http://kisi.deu.edu.tr/egi.mermut/ TRUE/FALSE QUESTIONS FOR SEQUENCES Write TRUE or FALSE

More information

7.1 Convergence of sequences of random variables

7.1 Convergence of sequences of random variables Chapter 7 Limit Theorems Throughout this sectio we will assume a probability space (, F, P), i which is defied a ifiite sequece of radom variables (X ) ad a radom variable X. The fact that for every ifiite

More information

Donsker s Theorem. Pierre Yves Gaudreau Lamarre. August 2012

Donsker s Theorem. Pierre Yves Gaudreau Lamarre. August 2012 Dosker s heorem Pierre Yves Gaudreau Lamarre August 2012 Abstract I this paper we provide a detailed proof of Dosker s heorem, icludig a review of the majority of the results o which the theorem is based,

More information

Assignment 5: Solutions

Assignment 5: Solutions McGill Uiversity Departmet of Mathematics ad Statistics MATH 54 Aalysis, Fall 05 Assigmet 5: Solutios. Let y be a ubouded sequece of positive umbers satisfyig y + > y for all N. Let x be aother sequece

More information