Sequences II. Chapter 3. 3.1 Convergent Sequences



Similar documents
Infinite Sequences and Series

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008

Section 11.3: The Integral Test

4.3. The Integral and Comparison Tests

Sequences and Series

Properties of MLE: consistency, asymptotic normality. Fisher information.

Example 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here).

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix

Convexity, Inequalities, and Norms

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE The absolute value of the complex number z a bi is

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

Theorems About Power Series

Chapter 5: Inner Product Spaces

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern.

Asymptotic Growth of Functions

CHAPTER 7: Central Limit Theorem: CLT for Averages (Means)

INFINITE SERIES KEITH CONRAD

3. Greatest Common Divisor - Least Common Multiple

1. C. The formula for the confidence interval for a population mean is: x t, which was

1. MATHEMATICAL INDUCTION

Hypothesis testing. Null and alternative hypotheses

I. Chi-squared Distributions

Math C067 Sampling Distributions

Department of Computer Science, University of Otago

Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER?

Lecture 4: Cheeger s Inequality

NATIONAL SENIOR CERTIFICATE GRADE 12

CHAPTER 3 DIGITAL CODING OF SIGNALS

BINOMIAL EXPANSIONS In this section. Some Examples. Obtaining the Coefficients

Basic Elements of Arithmetic Sequences and Series

Soving Recurrence Relations

A probabilistic proof of a binomial identity

Overview of some probability distributions.

Approximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find

Case Study. Normal and t Distributions. Density Plot. Normal Distributions

GCSE STATISTICS. 4) How to calculate the range: The difference between the biggest number and the smallest number.

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

Analysis Notes (only a draft, and the first one!)

a 4 = = Which of the following sequences converge to zero? n 2 (a) n 2 (b) 2 n x 2 x = lim x n = lim x

Lesson 17 Pearson s Correlation Coefficient

CS103X: Discrete Structures Homework 4 Solutions

University of California, Los Angeles Department of Statistics. Distributions related to the normal distribution

where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13

Building Blocks Problem Related to Harmonic Series

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction

Confidence Intervals for One Mean

The following example will help us understand The Sampling Distribution of the Mean. C1 C2 C3 C4 C5 50 miles 84 miles 38 miles 120 miles 48 miles

Chapter 6: Variance, the law of large numbers and the Monte-Carlo method

How To Solve The Homewor Problem Beautifully

5 Boolean Decision Trees (February 11)

Definition. A variable X that takes on values X 1, X 2, X 3,...X k with respective frequencies f 1, f 2, f 3,...f k has mean

UC Berkeley Department of Electrical Engineering and Computer Science. EE 126: Probablity and Random Processes. Solutions 9 Spring 2006

AP Calculus BC 2003 Scoring Guidelines Form B


Confidence Intervals. CI for a population mean (σ is known and n > 30 or the variable is normally distributed in the.

Chapter 7 Methods of Finding Estimators

1 Computing the Standard Deviation of Sample Means

Your organization has a Class B IP address of Before you implement subnetting, the Network ID and Host ID are divided as follows:

CS103A Handout 23 Winter 2002 February 22, 2002 Solving Recurrence Relations

Class Meeting # 16: The Fourier Transform on R n


Cooley-Tukey. Tukey FFT Algorithms. FFT Algorithms. Cooley

Elementary Theory of Russian Roulette

MATHEMATICS P1 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE GRADE 12

Sampling Distribution And Central Limit Theorem

Measures of Spread and Boxplots Discrete Math, Section 9.4

Chapter 7 - Sampling Distributions. 1 Introduction. What is statistics? It consist of three major areas:

Descriptive Statistics

Maximum Likelihood Estimators.

NATIONAL SENIOR CERTIFICATE GRADE 11

THE REGRESSION MODEL IN MATRIX FORM. For simple linear regression, meaning one predictor, the model is. for i = 1, 2, 3,, n

Math 113 HW #11 Solutions

5.3. Generalized Permutations and Combinations

Foundations of Operations Research

THE ABRACADABRA PROBLEM

Solving Logarithms and Exponential Equations

hp calculators HP 12C Statistics - average and standard deviation Average and standard deviation concepts HP12C average and standard deviation

Incremental calculation of weighted mean and variance

AP Calculus AB 2006 Scoring Guidelines Form B

Week 3 Conditional probabilities, Bayes formula, WEEK 3 page 1 Expected value of a random variable

Practice Problems for Test 3

3 Basic Definitions of Probability Theory

S. Tanny MAT 344 Spring be the minimum number of moves required.

Present Value Factor To bring one dollar in the future back to present, one uses the Present Value Factor (PVF): Concept 9: Present Value

Output Analysis (2, Chapters 10 &11 Law)

The Stable Marriage Problem

Listing terms of a finite sequence List all of the terms of each finite sequence. a) a n n 2 for 1 n 5 1 b) a n for 1 n 4 n 2

A Recursive Formula for Moments of a Binomial Distribution

1 Correlation and Regression Analysis

Simple Annuities Present Value.

Section 8.3 : De Moivre s Theorem and Applications

Factors of sums of powers of binomial coefficients

Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling

Transcription:

Chapter 3 Sequeces II 3. Coverget Sequeces Plot a graph of the sequece a ) = 2, 3 2, 4 3, 5 + 4,...,,... To what limit do you thik this sequece teds? What ca you say about the sequece a )? For ǫ = 0., ǫ = 0.0 ad ǫ = 0.00 fid a N such that a < ǫ wheever > N. Defiitio Let a R. A sequece a ) teds to a if, for each ǫ > 0, there exists a atural umber N such that a a < ǫ for all > N. See figure 3. for a illustratio of this defiitio. We use the otatio a ) a, a a, as ad lim a = a ad say that a ) coverges to a, or the limit of the sequece a ) as teds to ifiity is a. Example Prove a ) = ) +. Let ǫ > 0. We have to fid a atural umber N so that a = + < ǫ whe > N. We have + = + = + <. Good N-ough Ay N that works is good eough - it does t have to be the smallest possible N. Recycle Have a closer look at figure 3., what has bee chaged from figure2.6ofchapter2? Itturs out that this defiitio is very similar to the defiitio of a ull sequece. Elephats Revisited A ull sequece is a special case of a coverget sequece. So memorise this defiitio ad get the other oe for free. Hece it suffices to fid N so that < ǫ wheever > N. But < ǫ if ad oly if ǫ < so it is eough to choose N to be a atural umber with N > ǫ. The, if > N we have a = + = + = + < < N < ǫ. Lemma a ) a if ad oly if a a) 0. 27

28 CHAPTER 3. SEQUENCES II e -e a 0 N Figure 3.: Coverget sequeces; first choose ε, the fid N. Proof. We kow that a a) 0 meas that for each ǫ > 0, there exists a atural umber N such that a a < ǫ whe > N. But this is exactly the defiitio of a ) a. We have spoke of the limit of a sequece but ca a sequece have more tha oe limit? The aswer had better be No or our defiitio is suspect. Theorem Uiqueess of Limits A sequece caot coverge to more tha oe limit. Exercise Prove the theorem by assumig a ) a, a ) b with a < b ad obtaiig a cotradictio. [Hit: try drawig a graph of the sequeces with a ad b marked o] Theorem Every coverget sequece is bouded. Exercise 2 Prove the theorem above. Coectio It wo t have escaped your otice that the Sum Rule for ull sequeces is just a special case of the Sum Rule for sequeces. The same goes for the Product Rule. Why do t we have a Quotiet Rule for ull sequeces? 3.2 Algebra of Limits Theorem Sum Rule, Product Rule ad Quotiet Rule Let a,b R. Suppose a ) a ad b ) b. The ca +db ) ca+db a b Sum Rule for Sequeces a b ) ab Product Rule for Sequeces ) a b, ifb 0 Quotiet Rule for Sequeces

3.2. ALGEBRA OF LIMITS 29 There is aother useful way we ca express all these rules: If a ) ad b ) are coverget the lim lim ca +db ) = c lim a +d lim b lim a b ) = lim a lim b a b ) = lim a ), if lim lim b ) b ) 0 Sum Rule Product Rule Quotiet Rule Example I full detail 2 +)6 ) lim 2 3 +5 = lim ) ) + 6 2 2+ 5 3 usig the Quotiet Rule [ + 2 ) 6 = lim lim 2+ 5 = 3 ) )] usig the Product ad Sum Rules )) +lim 2 6 lim )) = +0)6 0) 2+0 = 3 2+5lim 3 ) Uless you are asked to show where you use each of the rules you ca keep your solutios simpler. Either of the followig is fie: ) ) 2 +)6 ) + 6 lim 2 3 = lim 2 +5 2+ 5 = +0)6 0) = 3 2+0 3 or 2 +)6 ) 2 3 +5 = ) ) + 6 2 2+ 5 +0)6 0) = 3 2+0 3 Bigger ad Better By iductio, the Sum ad Product Rules ca be exteded to cope with ay fiite umber of coverget sequeces. For example, for three sequeces: lim abc) = lim a lim b lim c Exercise 3 Show that a a)b b)+ab b)+ba a) = a b ab Exercise 4 Use the idetity i Exercise 3 ad the rules for ull sequeces to prove the Product Rule for sequeces. Exercise 5 Write a proof of the Quotiet Rule. You might like to structure your proof as follows.. Note that bb ) b 2 ad show that bb > b2 2 for sufficietly large. Do t Worry You caot use the Quotiet Rule if some of the b s are zero. Fortuately, the fact that b 0 esures that there ca oly be a fiite umber of these. Ca you see why? So you ca apply the Rule to the shifted sequece a N+/b N+) for some wisely chose N.

30 CHAPTER 3. SEQUENCES II 2. The show that evetually 0 b. 3. Now tackle a b = a b. b b ) 2 b b b 2 adtherefore b Cuig Required Do you kow a cuig way to rewrite +2+3+ +? Exercise 6 Fid the limit of each of the sequeces defied below. 7. 2 +8 2 4 2 3 2. + 2 3. +3) 2) 4 +2+ + 4. 5 2 Coectio The Sadwich Rule for ull sequeces represets the case whe l = 0. 3.3 Further Useful Results Theorem Sadwich Theorem for Sequeces Suppose a ) l ad b ) l. If a c b the c ) l. This improved Sadwich theorem ca be tackled by rewritig the hypothesis as 0 c a b a ad applyig the earlier Sadwich theorem. Exercise 7 Prove the Sadwich Theorem for sequeces. Max ad Mi I your proof you may well use the fact that each fiite set has a maximum ad a miimum. Is this true of ifiite sets? There are goig to be may occasios whe we are iterested i the behaviour of a sequece after a certai poit, regardless of what wet o before that. This ca be doe by choppig off the first N terms of a sequece a ) to get a shifted sequece b ) give by b = a N+. We ofte write this as a N+ ), so that a N+ ) = a N+, a N+2, a N+3, a N+4,... which starts at the term a N+. We use it i the defiitio below. Defiitio A sequece a ) satisfies a certai property evetually if there is a atural umber N such that the sequece a N+ ) satisfies that property. For istace, a sequece a ) is evetually bouded if there exists N such that the sequece a N+ ) is bouded. Lemma If a sequece is evetually bouded the it is bouded. Exercise 8 Prove this lemma. The ext result, called the Shift Rule, tells you that a sequece coverges if ad oly if it coverges evetually. So you ca chop off or add o ay fiite

3.3. FURTHER USEFUL RESULTS 3 umber of terms at the begiig of a sequece without affectig the coverget behaviour of its ifiite tail. Theorem Shift Rule Let N be a atural umber. Let a ) be a sequece. The a a if ad oly if the shifted sequece a N+ a. Proof. Fix ǫ > 0. If a ) a we kow there exists N such that a a < ǫ wheever > N. Whe > N, weseethatn+ > N, therefore a N+ a < ǫ. Hece a N+ ) a. Coversely, suppose that a N+ ) a. The there exists N 2 such that a N+ a < ǫ wheever > N 2. Whe > N + N 2 the N > N 2 so a a = a N+ N) a < ǫ. Hece a ) a. Corollary Sadwich Theorem with Shift Rule Suppose a ) l ad b ) l. If evetually a c b the c ) l. Example We kow / 0 therefore /+5) 0. Exercise 9 Show that the Shift Rule also works for sequeces which ted to ifiity: a ) if ad oly if a N+ ). If all the terms of a coverget sequece sit withi a certai iterval, does its limit lie i that iterval, or ca it escape? For istace, if the terms of a coverget sequece are all positive, is its limit positive too? Lemma Suppose a ) a. If a 0 for all the a 0. Exercise 0 Prove this result. [Hit: Assume that a < 0 ad let ǫ = a > 0. The use the defiitio of covergece to arrive at a cotradictio.] Exercise Prove or disprove the followig statemet: Suppose a ) a. If a > 0 for all the a > 0. Theorem Iequality Rule Suppose a ) a ad b ) b. If evetually) a b the a b. Exercise 2 Prove this result usig the previous Lemma. [Hit: Cosider b a ).]

32 CHAPTER 3. SEQUENCES II Limits o Limits Limits caot escape from closed itervals. They ca escape from ope itervals - but oly as far as the ed poits. Cautio Note that the subsequece a i ) is idexed by i ot. I all cases i i. Why is this?) Remember these facts whe subsequeces appear! Prove the obvious It may seem obvious that every subsequece of a coverget sequece coverges, but you should still check that you kow how to prove it! Corollary Closed Iterval Rule Suppose a ) a. If evetually) A a B the A a B. If A < a < B it is ot the case that A < a < B. For example 0 < + < but +. 3.4 Subsequeces A subsequece of a ) is a sequece cosistig of some or all) of its terms i their origial order. For istace, we ca pick out the terms with eve idex to get the subsequece a 2,a 4,a 6,a 8,a 0,... or we ca choose all those whose idex is a perfect square a,a 4,a 9,a 6,a 25,... I the first case we chose the terms i positios 2,4,6,8,...ad i the secod those i positios,4,9,6,25,... I geeral, if we take ay strictly icreasig sequece of atural umbers i ) =, 2, 3, 4,... we ca defie a subsequece of a ) by a i ) = a,a 2,a 3,a 4,... Defiitio A subsequece of a ) is a sequece of the form a i ), where i ) is a strictly icreasig sequece of atural umbers. Effectively, the sequece i ) picks out which terms of a ) get to belog to the subsequece. Thik back to the defiitio of covergece of a sequece. Why is it immediate from the defiitio that if a sequece a ) coverges to a the all subsequece a i ) coverge to a? This is a fact which we will be usig costatly i the rest of the course. Notice that the shifted sequece a N+ ) is a subsequece of a ). Exercise 3 Let a ) = 2 ). Write dow the first four terms of the three subsequeces a +4 ), a 3 ) ad a 2 ). Here is aother result which we will eed i later chapters. Exercise 4 Suppose we have a sequece a ) ad are tryig to prove that it coverges. Assume that we have show that the subsequeces a 2 ) ad a 2+ ) both coverge to the same limit a. Prove that a ) a coverges. Exercise 5 Aswer Yes or No to the followig questios, but be sure that you kow why ad that you are t just guessig.

3.5. * APPLICATION - SPEED OF CONVERGENCE * 33. A sequece a ) is kow to be icreasig, but ot strictly icreasig. a) Might there be a strictly icreasig subsequece of a )? b) Must there be a strictly icreasig subsequece of a )? 2. If a sequece is bouded, must every subsequece be bouded? 3. If the subsequece a 2, a 3,..., a +,... is bouded, does it follow that the sequece a ) is bouded? 4. If the subsequece a 3, a 4,..., a +2,... is bouded does it follow that the sequece a ) is bouded? 5. If the subsequece a N+, a N+2,..., a N+,... is bouded does it follow that the sequece a ) is bouded? Lemma Every subsequece of a bouded sequece is bouded. Proof. Let a ) be a bouded sequece. The there exist L ad U such that L a U for all. It follows that if a i ) is a subsequece of a ) the L a i U for all i. Hece a i ) is bouded. You might be surprised to lear that every sequece, o matter how boucy ad ill-behaved, cotais a icreasig or decreasig subsequece. Theorem Every sequece has a mootoic subsequece. 3.5 * Applicatio - Speed of Covergece * Ofte sequeces are defied recursively, that is, later terms are defied i terms of earlier oes. Cosider a sequece a ) where a 0 = ad a + = a +2, so the sequece begis a 0 =,a = 3,a 2 = 3+2. Exercise 6 Use iductio to show that a 2 for all. Sie Time Agai The fact that a sequece has a guarateed mootoic subsequece does t mea that the subsequece is easy to fid. Try idetifyig a icreasig or decreasig subsequece of si ad you ll see what I mea. Now assume that a ) coverges to a limit, say, a. The: a = lim a = lim a+ ) 2 2 ) = ) 2 lim a + 2 = a 2 2 So to fid a we have to solve the quadratic equatio a 2 a 2 = 0. We ca rewrite this as a+)a 2) = 0, so either a = or a = 2. But which oe is it? The Iequality Theorem comes to our rescue here. Sice a for all it follows that a, therefore a = 2. We will ow ivestigate the speed that a approaches 2.

34 CHAPTER 3. SEQUENCES II Exercise 7 Show that 2 a + = 2 a 2+. Use this idetity ad iductio 2+a to show that 2 a ) 2+ for all. How may iteratios are eeded so 3) that a is withi 0 00 is its limit 2? A excellet method for calculatig square roots is the Newto-Raphso method which you may have met at A-level. Whe applied to the problem of calculatig 2 this leads to the sequece give by: a 0 = 2 ad a + = a + a 2. Exercise 8 Use a calculator to calculate a,a 2,a 3,a 4. Compare them with 2. Exercise 9 Use iductio to show that a 2 for all. Assumig that a ) coverges, show that the limit must be 2. We will ow show that the sequece coverges to 2 like a bat out of hell. Exercise 20 Show that a + 2) = a 2) 2 2a. Usig this idetity show by iductio that a 2 22. How may iteratios do you eed before you ca guaretee to calculate 2 to withi a error of 0 00 approximately 00 decimal places)? SequecesasiExercise7aresaidtocovergeexpoetially adthoseasi Exercise 20 are said to coverge quadratically sice the error is squared at each iteratio. The stadard methods for calculatig π were expoetial just as is the Archimedes method) util the mid 970s whe a quadratically coverget approximatio was discovered. Check Your Progress By the ed of this chapter you should be able to: Defie what it meas for a sequece to coverge to a limit. Prove that every coverget sequece is bouded. State, prove ad use the followig results about coverget sequeces: If a ) a ad b ) b the: Sum Rule: ca +db ) ca+db Product Rule: a b ) ab Quotiet Rule: a /b ) a/b if b 0 Sadwich Theorem: if a = b ad a c b the c ) a Closed Iterval Rule: if A a B the A a B Explai the term subsequece ad give a rage of examples.