Lesson 12. Sequences and Series

Similar documents
Infinite Sequences and Series

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

4.3. The Integral and Comparison Tests

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

Soving Recurrence Relations

Sequences and Series

Section 11.3: The Integral Test

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).

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

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

Theorems About Power Series

Basic Elements of Arithmetic Sequences and Series

INFINITE SERIES KEITH CONRAD

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

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

SEQUENCES AND SERIES

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

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

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

How To Solve The Homewor Problem Beautifully

Building Blocks Problem Related to Harmonic 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

Elementary Theory of Russian Roulette

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

Asymptotic Growth of Functions

3 Basic Definitions of Probability Theory

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

Multiple Representations for Pattern Exploration with the Graphing Calculator and Manipulatives

I. Chi-squared Distributions

1 Computing the Standard Deviation of Sample Means

Remarques sur un beau rapport entre les series des puissances tant directes que reciproques

Chapter 7 Methods of Finding Estimators

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

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

5 Boolean Decision Trees (February 11)

MARTINGALES AND A BASIC APPLICATION

3. Greatest Common Divisor - Least Common Multiple

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

Confidence Intervals for One Mean

CHAPTER 3 THE TIME VALUE OF MONEY

Escola Federal de Engenharia de Itajubá

A probabilistic proof of a binomial identity

Incremental calculation of weighted mean and variance

Domain 1: Designing a SQL Server Instance and a Database Solution

Modified Line Search Method for Global Optimization

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

Class Meeting # 16: The Fourier Transform on R n

Lesson 17 Pearson s Correlation Coefficient

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

Math C067 Sampling Distributions

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

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

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

5.3. Generalized Permutations and Combinations

Overview. Learning Objectives. Point Estimate. Estimation. Estimating the Value of a Parameter Using Confidence Intervals

CHAPTER 3 DIGITAL CODING OF SIGNALS

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

CS103X: Discrete Structures Homework 4 Solutions

Determining the sample size

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

Chapter 5 Unit 1. IET 350 Engineering Economics. Learning Objectives Chapter 5. Learning Objectives Unit 1. Annual Amount and Gradient Functions

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

INVESTMENT PERFORMANCE COUNCIL (IPC)

Lesson 15 ANOVA (analysis of variance)

Solving Logarithms and Exponential Equations

Multiplexers and Demultiplexers

Learning objectives. Duc K. Nguyen - Corporate Finance 21/10/2014

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

EGYPTIAN FRACTION EXPANSIONS FOR RATIONAL NUMBERS BETWEEN 0 AND 1 OBTAINED WITH ENGEL SERIES

Hypergeometric 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

Department of Computer Science, University of Otago

SEQUENCES AND SERIES CHAPTER

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.

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

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

Sequences and Series Using the TI-89 Calculator

Baan Service Master Data Management

Overview of some probability distributions.

Annuities Under Random Rates of Interest II By Abraham Zaks. Technion I.I.T. Haifa ISRAEL and Haifa University Haifa ISRAEL.

1 Correlation and Regression Analysis

Irreducible polynomials with consecutive zero coefficients

Hypothesis testing. Null and alternative hypotheses

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

Maximum Likelihood Estimators.


NATIONAL SENIOR CERTIFICATE GRADE 12

The Stable Marriage Problem

PERMUTATIONS AND COMBINATIONS

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

Simple Annuities Present Value.

Measures of Spread and Boxplots Discrete Math, Section 9.4

Center, Spread, and Shape in Inference: Claims, Caveats, and Insights

*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature.

Mathematical goals. Starting points. Materials required. Time needed

Chapter 5: Inner Product Spaces

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13

Normal Distribution.

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

Research Article Sign Data Derivative Recovery

Transcription:

Retur to List of Lessos Lesso. Sequeces ad Series A ifiite sequece { a, a, a,... a,...} ca be thought of as a list of umbers writte i defiite order ad certai patter. It is usually deoted by { a } =, or simply { a }. Because the th term of a sequece is sufficiet to express the patter of a sequece, it is usually called the geeral term of the sequece. 5 6 7 For istace, if cosiderig a sequece,,,,,..., the patter of this sequece 5 5 5 65 5 is determied by the th term of the sequece. I this case, you will aturally try to ivestigate the patter of the umerators, deomiators ad the alteratig sigs i order to fid the expressio of the th term. I this case for =,,,, 5,..., you ca fid The patter of the umerators is {,, 5, 6, 7,... +... }, 5 The patter of the deomiators is { 5, 5, 5, 5, 5,...5...}, 0 5 The patter of the sigs is {( ), ( ), ( ), ( ), ( ), ( ),...( )...}, So the th term of the sequece is ( ) + 5, ad this sequece is represeted by + ( ) 5. A ifiite series is the sum of a ifiite sequece ad writte as = th partial sum of a ifiite sequece is give by a a = a + a + + +. The a = a + a + +. For istace, for a ifiite i a sequece,,,,,..., the sum of the sequece is the well-kow geometric series i 8 6 with ratio of /. Whe we studyig calculus, our major cocer is whether a series is coverget or diverget. As you kow, if the limit of the th partial sum s = a + a + a + + a exists, the series is said to be coverget; Otherwise it is diverget.

I this lesso we will lear how to use Mathematica to costruct ifiite sequeces, calculate the limit of a sequece, fid the th partial sum of a sequece ad ivestigate the covergece of a ifiite series. The followig four examples are chose to help you practice ad uderstad the computer programmig techiques. Example List the first 7 terms of a geometric sequece with ratio of ½. Fid the sum of the first terms of a geometric sequece with ratio of ½. Determie whether the geometric series is coverget or ot. Solutio To list the first 7 terms of the geometric sequece, we use the commad Table[ ] to list the umbers i order ad the otatio {i,, 7} to idicate the idex i takig the value from to 7.,,,,,,,,, To fid the sum of the first terms of the geometric sequece, we use the commad Sum[ ] ad iclude the otatio { i,, } that idicates the idex i takig its value from to.,,, The outcome geerated by Mathematica is right but looks a little weird. If simplifyig a little bit, the outcome will be like ( + ) =, which is the same as what you leared i calculus class. To determie whether the geometric series sequece from i = to i =. i coverges, we ca fid the sum of all terms i the,,, Sice the limit of the th partial sum is equal to, we ca say that the geometric series is coverget.

Example List the first 7 terms of a geometric sequece with ratio of /. Fid the sum of the first terms of a geometric sequece with ratio of /. Determie whether the geometric series is coverget. Solutio This example is similar to the previous oe. You are asked to ivestigate the same iformatio of a geometric sequece with the ratio of /. So we follow the same steps as the previous example. The sum of the first terms is,,,,,,,,,,,, The sum of all the terms of the sequece is,,, Sum::div: Sum does ot coverge. á Sice the limit of the th partial sum is diverget, we ca say that the geometric series is diverget. The covergece or divergece of a geometric series with a ratio of r depeds o the value of the ratio r. We ca use the Mathematica fuctio,,, to fid out the th partial sum of a geometric series. The th partial sum is. Use what we leared from Calculus II, (a) Whe r <, the limit of (b) Whe r, the limit of (as (as r ) is equal to. The series is coverget. r ) is equal to or. The series diverges. Next we will preset the th partial sum of a very special type series Iteger Power Series. The followig four series are chose here for your ivestigatio.

Example Fid the sum of the first term of the iteger power sequece. a) i = + + + + b) i c) i d) i Solutio = + = + = + + + + + + + + + + We simply use the commad Sum[ ] to fid the th partial sum of ay power series i secods. As you kow, these are importat formulas we have leared i calculus. You ca take advatage of Mathematica programmig to fid them wheever you eed them. a) b) c),,,,,,,,, d),,,

I the last part of this lesso, a more complicated sequece is chose for you to practice Mathematica programmig oe more time o the commads: Table[ ], Sum[ ], ad Limit[ ]. Example Cosider the sequece + ( ) 5 =. a) List the first 7 terms of the sequece. b) Determie whether the sequece is coverget. c) Fid the sum of the first 7 terms of the sequece. d) Fid the sum of the first terms of the sequece. e) Fid the sum of the etire sequece (from to ). Solutio. a) We list the first 7 terms of the sequece usig the commad Table[ ].,,,,,,,,, Note {,, 7} idicates the idex startig from ad edig at 7. You ca always modify the startig ad edig values of if you eed to. If you wat to sum up all terms from = 0 to = 8, you ca just chage the idex rage to, 0, 8 so that you get,,,,,,,,,,, The it gives the first 9 terms of the sequece with the idex startig from 0 ad edig at 8. 5

b) To determie whether the sequece is coverget or diverget, we calculate the limit of the th term by lettig., c) The sum of the first 7 terms of the sequece is calculated by,,, As we discussed before, if you eed the umerical value istead of the fractioal value, we ca always use N[ ] to get d) The sum of the first terms of the sequece is 0.7,,, The Mathematica outcome may ot be the same as what you calculated by had, but it is correct with o doubt. It just seems a little weird compared to what you ormally did i calculus. e) The sum of the etire sequece is calculated by ruig the terms from = to =,,, 6

I this case we ca say this series is coverget because the ifiite sum is fiite. Retur to List of Lessos 7