16.4. Power Series. Introduction. Prerequisites. Learning Outcomes

Size: px
Start display at page:

Download "16.4. Power Series. Introduction. Prerequisites. Learning Outcomes"

Transcription

1 Power Series 6.4 Introduction In this Section we consider power series. These are examples of infinite series where each term contains a variable, x, raised to a positive integer power. We use the ratio test to obtain the radius of convergence R, of the power series and state the important result that the series is absolutely convergent if x < R, if x > R and may or may not be convergent if x = ±R. Finally, we extend the work to apply to general power series when the variable x is replaced by (x x 0 ). Prerequisites Before starting this Section you should... Learning Outcomes On completion you should be able to... have knowledge of infinite series and of the ratio test have knowledge of inequalities and of the factorial notation. explain what a power series is obtain the radius of convergence for a power series explain what a general power series is HELM (008): Workbook 6: Sequences and Series

2 . Power series A power series is simply a sum of terms each of which contains a variable raised to a non-negative integer power. To illustrate: x x + x 5 x x + x! + x! + are examples of power series. In the binomial series: + px + p(p ) x +! 6. we encountered an important example of a power series, p(p )(p ) x +! which, as we have already noted, represents the function ( + x) p as long as the variable x satisfies x <. A power series has the general form b 0 + b x + b x + = x p where b 0, b, b, are constants. Note that, in the summation notation, we have chosen to start the series at p = 0. This is to ensure that the power series can include a constant term b 0 since x 0 =. The convergence, or otherwise, of a power series, clearly depends upon the value of x chosen. For example, the power series + x + x + x 4 + is convergent if x = (for then it is the alternating harmonic series) and if x = + (for then it is the harmonic series).. The radius of convergence The most important statement one can make about a power series is that there exists a number, R, called the radius of convergence, such that if x < R the power series is absolutely convergent and if x > R the power series is. At the two points x = R and x = R the power series may be convergent or. HELM (008): Section 6.4: Power Series

3 Key Point Convergence of Power Series For a power series x p with radius of convergence R then the series converges absolutely if x < R the series diverges if x > R the series may be convergent or at x = ±R R 0 convergent R x For any particular power series know, from the ratio test that + x p+ lim x p = lim + x p the value of R can be obtained using the ratio test. We x p is absolutely convergent if x < implying x < lim + and so R = lim +. Example (a) Find the radius of convergence of the series + x + x + x 4 + (b) Investigate what happens at the end-points x =, x = + of the region of absolute convergence. 4 HELM (008): Workbook 6: Sequences and Series

4 Solution (a) Here + x + x + x 4 + = x p p + so = p + In this case, R = lim p + p + = + = p + so the given series is absolutely convergent if x < and is if x >. (b) At x = + the series is which is (the harmonic series). However, at x = the series is + + which is convergent (the alternating harmonic series). 4 Finally, therefore, the series + x + x + x 4 + is convergent if x <. Task Find the range of values of x for which the following power series converges: + x + x + x + First find the coefficient of x p : = = p Now find R, the radius of convergence: R = lim + = R = lim + = lim p+ p = lim () =. When x = ± the series is clearly. Hence the series is convergent only if < x <. HELM (008): Section 6.4: Power Series 5

5 . Properties of power series Let P and P represent two power series with radii of convergence R and R respectively. We can combine P and P together by addition and multiplication. We find the following properties: Key Point If P and P are power series with respective radii of convergence R and R then the sum (P +P ) and the product (P P ) are each power series with the radius of convergence being the smaller of R and R. Power series can also be differentiated and integrated on a term by term basis: Key Point If P is a power series with radius of convergence R then d dx (P ) and (P ) dx are each power series with radius of convergence R Example Using the known result that ( + x) p = + px + p(p ) x + x <,! choose p = and by differentiating obtain the power series expression for (+x). Solution ( + x) x = + + Differentiating both sides: ( ) x +! ( ) ( )! ( + x) = + Multiplying through by : ( + x) = x + x + ( ) x + ( ( ) ( ) x + ) ( ) x + This result can, of course, be obtained directly from the expansion for ( + x) p with p =. 6 HELM (008): Workbook 6: Sequences and Series

6 Task Using the known result that + x = x + x x + x <, (a) Find an expression for ln( + x) (b) Use the expression to obtain an approximation to ln(.) (a) Integrate both sides of dx + x = ( x + x ) dx = + x = x + x and so deduce an expression for ln( + x): dx = ln( + x) + c where c is a constant of integration, + x ( x + x ) dx = x x + x + k where k is a constant of integration. So we conclude ln( + x) + c = x x + x + k if x < Choosing x = 0 shows that c = k so they cancel from this equation. (b) Now choose x = 0. to approximate ln( + 0.) using terms up to cubic: ln(.) = 0. (0.) + (0.) ln(.) which is easily checked by calculator. HELM (008): Section 6.4: Power Series 7

7 4. General power series A general power series has the form b 0 + b (x x 0 ) + b (x x 0 ) + = (x x 0 ) p Exactly the same considerations apply to this general power series as apply to the special series x p except that the variable x is replaced by (x x 0 ). The radius of convergence of the general series is obtained in the same way: R = lim + and the interval of convergence is now shifted to have centre at x = x 0 (see Figure 4 below). The series is absolutely convergent if x x 0 < R, diverges if x x 0 > R and may or may not converge if x x 0 = R. 0 x 0 R x 0 x 0 +R convergent Figure 4 x Task Find the radius of convergence of the general power series (x ) + (x ) (x ) + First find an expression for the general term: (x ) + (x ) (x ) + = (x ) p () p so = () p Now obtain the radius of convergence: lim = R = + lim + = lim () p () p+ =. Hence R =, so the series is absolutely convergent if x <. 8 HELM (008): Workbook 6: Sequences and Series

8 Finally, decide on the convergence at x = (i.e. at x = and x = i.e. x = 0 and x = ): At x = 0 the series is which diverges and at x = the series is + which also diverges. Thus the given series only converges if x < i.e. 0 < x <. 0 convergent x. From the result Exercises x = + x + x + x +..., x < (a) Find an expression for ln( x) (b) Use this expression to obtain an approximation to ln(0.9) to 4 d.p.. Find the radius of convergence of the general power series (x+)+(x+) (x+) Find the range of values of x for which the power series + x 4 + x 4 + x converges. 4. By differentiating the series for ( + x) / find the power series for ( + x) / and state its radius of convergence. 5. (a) Find the radius of convergence of the series + x + x 4 + x s (b) Investigate what happens at the points x = and x = +. ln( x) = x x x x ln(0.9) (4 d.p.). R =. Series converges if < x <. If x = series diverges. If x = series diverges.. Series converges if 4 < x < ( + x) / = x + 5 x +... valid for x <. 5. (a) R =. (b) At x = + series diverges. At x = series converges. HELM (008): Section 6.4: Power Series 9

16.4. Power Series. Introduction. Prerequisites. Learning Outcomes

16.4. Power Series. Introduction. Prerequisites. Learning Outcomes Power Series 6.4 Introduction In this section we consider power series. These are examples of infinite series where each term contains a variable, x, raised to a positive integer power. We use the ratio

More information

About the HELM Project HELM (Helping Engineers Learn Mathematics) materials were the outcome of a three-year curriculum development project

About the HELM Project HELM (Helping Engineers Learn Mathematics) materials were the outcome of a three-year curriculum development project About the HELM Project HELM (Helping Engineers Learn Mathematics) materials were the outcome of a three-year curriculum development project undertaken by a consortium of five English universities led by

More information

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes Infinite Series 6.2 Introduction We extend the concet of a finite series, met in Section 6., to the situation in which the number of terms increase without bound. We define what is meant by an infinite

More information

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes

16.2. Infinite Series. Introduction. Prerequisites. Learning Outcomes Infinite Series 6. Introduction We extend the concet of a finite series, met in section, to the situation in which the number of terms increase without bound. We define what is meant by an infinite series

More information

Power Series. Part 2 Differentiation & Integration; Multiplication of Power Series. J. Gonzalez-Zugasti, University of Massachusetts - Lowell

Power Series. Part 2 Differentiation & Integration; Multiplication of Power Series. J. Gonzalez-Zugasti, University of Massachusetts - Lowell Power Series Part 2 Differentiation & Integration; Multiplication of Power Series 1 Theorem 1 If a n x n converges absolutely for x < R, then a n f x n converges absolutely for any continuous function

More information

1.2. Indices. Introduction. Prerequisites. Learning Outcomes

1.2. Indices. Introduction. Prerequisites. Learning Outcomes Indices.2 Introduction Indices, or powers, provide a convenient notation when we need to multiply a number by itself several times. In this section we explain how indices are written, and state the rules

More information

23.4. Convergence. Introduction. Prerequisites. Learning Outcomes

23.4. Convergence. Introduction. Prerequisites. Learning Outcomes Convergence 3.4 Introduction In this Section we examine, briefly, the convergence characteristics of a Fourier series. We have seen that a Fourier series can be found for functions which are not necessarily

More information

11.5. The Chain Rule. Introduction. Prerequisites. Learning Outcomes

11.5. The Chain Rule. Introduction. Prerequisites. Learning Outcomes The Chain Rule 11.5 Introduction In this Section we will see how to obtain the derivative of a composite function (often referred to as a function of a function ). To do this we use the chain rule. This

More information

Section Taylor and Maclaurin Series

Section Taylor and Maclaurin Series Section.0 Taylor and Maclaurin Series Ruipeng Shen Feb 5 Taylor and Maclaurin Series Main Goal: How to find a power series representation for a smooth function us assume that a smooth function has a power

More information

Series Solution of Linear Ordinary Differential Equations

Series Solution of Linear Ordinary Differential Equations Series Solution of Linear Ordinary Differential Equations Department of Mathematics IIT Guwahati Aim: To study methods for determining series expansions for solutions to linear ODE with variable coefficients.

More information

Numerical Methods of Approximation

Numerical Methods of Approximation Contents 31 Numerical Methods of Approximation 31.1 Polynomial Approximations 2 31.2 Numerical Integration 28 31.3 Numerical Differentiation 58 31.4 Nonlinear Equations 67 Learning outcomes In this Workbook

More information

7.3. Determinants. Introduction. Prerequisites. Learning Outcomes

7.3. Determinants. Introduction. Prerequisites. Learning Outcomes Determinants 7.3 Introduction Among other uses, determinants allow us to determine whether a system of linear equations has a unique solution or not. The evaluation of a determinant is a key skill in engineering

More information

3.4 Introduction to power series

3.4 Introduction to power series 3.4 Introduction to power series Definition 3.4.. A polynomial in the variable x is an expression of the form n a i x i = a 0 + a x + a 2 x 2 + + a n x n + a n x n i=0 or a n x n + a n x n + + a 2 x 2

More information

Testing Series with Mixed Terms

Testing Series with Mixed Terms Testing Series with Mixed Terms Philippe B. Laval KSU Today Philippe B. Laval (KSU) Series with Mixed Terms Today 1 / 17 Outline 1 Introduction 2 Absolute v.s. Conditional Convergence 3 Alternating Series

More information

Power series and Taylor series

Power series and Taylor series Power series and Taylor series D. DeTurck University of Pennsylvania March 29, 2018 D. DeTurck Math 104 002 2018A: Series 1 / 42 Series First... a review of what we have done so far: 1 We examined series

More information

14.4. Lengths of Curves and Surfaces of Revolution. Introduction. Prerequisites. Learning Outcomes

14.4. Lengths of Curves and Surfaces of Revolution. Introduction. Prerequisites. Learning Outcomes Lengths of Curves and Surfaces of Revolution 4.4 Introduction Integration can be used to find the length of a curve and the area of the surface generated when a curve is rotated around an axis. In this

More information

TAYLOR AND MACLAURIN SERIES

TAYLOR AND MACLAURIN SERIES TAYLOR AND MACLAURIN SERIES. Introduction Last time, we were able to represent a certain restricted class of functions as power series. This leads us to the question: can we represent more general functions

More information

Exponential and Logarithmic Functions

Exponential and Logarithmic Functions Contents 6 Exponential and Logarithmic Functions 6.1 The Exponential Function 2 6.2 The Hyperbolic Functions 11 6.3 Logarithms 19 6.4 The Logarithmic Function 27 6.5 Modelling Exercises 38 6.6 Log-linear

More information

16.5. Maclaurin and Taylor Series. Introduction. Prerequisites. Learning Outcomes

16.5. Maclaurin and Taylor Series. Introduction. Prerequisites. Learning Outcomes Maclaurin and Talor Series 6.5 Introduction In this Section we eamine how functions ma be epressed in terms of power series. This is an etremel useful wa of epressing a function since (as we shall see)

More information

Math Bootcamp 2012 Miscellaneous

Math Bootcamp 2012 Miscellaneous Math Bootcamp 202 Miscellaneous Factorial, combination and permutation The factorial of a positive integer n denoted by n!, is the product of all positive integers less than or equal to n. Define 0! =.

More information

Representation of Functions as Power Series.

Representation of Functions as Power Series. MATH 0 - A - Spring 009 Representation of Functions as Power Series. Our starting point in this section is the geometric series: x n = + x + x + x 3 + We know this series converges if and only if x

More information

Example 1 Which of these functions are polynomials in x? In the case(s) where f is a polynomial,

Example 1 Which of these functions are polynomials in x? In the case(s) where f is a polynomial, 1. Polynomials A polynomial in x is a function of the form p(x) = a 0 + a 1 x + a 2 x 2 +... a n x n (a n 0, n a non-negative integer) where a 0, a 1, a 2,..., a n are constants. We say that this polynomial

More information

Power Series. Part 1. J. Gonzalez-Zugasti, University of Massachusetts - Lowell

Power Series. Part 1. J. Gonzalez-Zugasti, University of Massachusetts - Lowell Power Series Part 1 1 Power Series Suppose x is a variable and c k & a are constants. A power series about x = 0 is c k x k A power series about x = a is c k x a k a = center of the power series c k =

More information

3. Infinite Series. The Sum of a Series. A series is an infinite sum of numbers:

3. Infinite Series. The Sum of a Series. A series is an infinite sum of numbers: 3. Infinite Series A series is an infinite sum of numbers: The individual numbers are called the terms of the series. In the above series, the first term is, the second term is, and so on. The th term

More information

1.2. Indices. Introduction. Prerequisites. Learning Outcomes

1.2. Indices. Introduction. Prerequisites. Learning Outcomes Indices 1.2 Introduction Indices, or powers, provide a convenient notation when we need to multiply a number by itself several times. In this Section we explain how indices are written, and state the rules

More information

Taylor and Maclaurin Series. Copyright Cengage Learning. All rights reserved.

Taylor and Maclaurin Series. Copyright Cengage Learning. All rights reserved. 11.10 Taylor and Maclaurin Series Copyright Cengage Learning. All rights reserved. We start by supposing that f is any function that can be represented by a power series f(x)= c 0 +c 1 (x a)+c 2 (x a)

More information

14.3. Volumes of Revolution. Introduction. Prerequisites. Learning Outcomes

14.3. Volumes of Revolution. Introduction. Prerequisites. Learning Outcomes Volumes of Revolution 14.3 Introduction In this Section we show how the concept of integration as the limit of a sum, introduced in Section 14.1, can be used to find volumes of solids formed when curves

More information

Solutions to Homework 2

Solutions to Homework 2 Solutions to Homewor Due Tuesday, July 6,. Chapter. Problem solution. If the series for ln+z and ln z both converge, +z then we can find the series for ln z by term-by-term subtraction of the two series:

More information

Algebraic. techniques1

Algebraic. techniques1 techniques Algebraic An electrician, a bank worker, a plumber and so on all have tools of their trade. Without these tools, and a good working knowledge of how to use them, it would be impossible for them

More information

MATH 118, LECTURES 27 & 28: TAYLOR SERIES

MATH 118, LECTURES 27 & 28: TAYLOR SERIES MATH 8, LECTURES 7 & 8: TAYLOR SERIES Taylor Series Suppose we know that the power series a n (x c) n converges on some interval c R < x < c + R to the function f(x). That is to say, we have f(x) = a 0

More information

3.3. Solving polynomial equations. Introduction. Prerequisites. Learning Outcomes

3.3. Solving polynomial equations. Introduction. Prerequisites. Learning Outcomes Solving polynomial equations 3.3 Introduction Linear and quadratic equations, dealt within sections 1 and 2 are members of a class of equations called polynomial equations. These have the general form:

More information

Discrete Probability Distributions

Discrete Probability Distributions 37 Contents Discrete Probability Distributions 37.1 Discrete Probability Distributions 2 37.2 The Binomial Distribution 17 37.3 The Poisson Distribution 37 37.4 The Hypergeometric Distribution 53 Learning

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION APPLICATIONS 5 (Maclaurin s and Taylor s series) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION APPLICATIONS 5 (Maclaurin s and Taylor s series) A.J.Hobson JUST THE MATHS UNIT NUMBER.5 DIFFERENTIATION APPLICATIONS 5 (Maclaurin s and Taylor s series) by A.J.Hobson.5. Maclaurin s series.5. Standard series.5.3 Taylor s series.5.4 Exercises.5.5 Answers to exercises

More information

ECONOMICS 207 SPRING 2006 LABORATORY EXERCISE 5 KEY. 8 = 10(5x 2) = 9(3x + 8), x 50x 20 = 27x x = 92 x = 4. 8x 2 22x + 15 = 0 (2x 3)(4x 5) = 0

ECONOMICS 207 SPRING 2006 LABORATORY EXERCISE 5 KEY. 8 = 10(5x 2) = 9(3x + 8), x 50x 20 = 27x x = 92 x = 4. 8x 2 22x + 15 = 0 (2x 3)(4x 5) = 0 ECONOMICS 07 SPRING 006 LABORATORY EXERCISE 5 KEY Problem. Solve the following equations for x. a 5x 3x + 8 = 9 0 5x 3x + 8 9 8 = 0(5x ) = 9(3x + 8), x 0 3 50x 0 = 7x + 7 3x = 9 x = 4 b 8x x + 5 = 0 8x

More information

Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) a n z n. n=0

Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) a n z n. n=0 Lecture 22 Power series solutions for 2nd order linear ODE s (not necessarily with constant coefficients) Recall a few facts about power series: a n z n This series in z is centered at z 0. Here z can

More information

21.4. Engineering Applications of z-transforms. Introduction. Prerequisites. Learning Outcomes

21.4. Engineering Applications of z-transforms. Introduction. Prerequisites. Learning Outcomes Engineering Applications of z-transforms 21.4 Introduction In this Section we shall apply the basic theory of z-transforms to help us to obtain the response or output sequence for a discrete system. This

More information

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors Contents Eigenvalues and Eigenvectors. Basic Concepts. Applications of Eigenvalues and Eigenvectors 8.3 Repeated Eigenvalues and Symmetric Matrices 3.4 Numerical Determination of Eigenvalues and Eigenvectors

More information

22.2. Applications of Eigenvalues and Eigenvectors. Introduction. Prerequisites. Learning Outcomes

22.2. Applications of Eigenvalues and Eigenvectors. Introduction. Prerequisites. Learning Outcomes Applications of Eigenvalues and Eigenvectors 22.2 Introduction Many applications of matrices in both engineering and science utilize eigenvalues and, sometimes, eigenvectors. Control theory, vibration

More information

Testing Series With Mixed Terms

Testing Series With Mixed Terms Testing Series With Mixed Terms Philippe B. Laval Series with Mixed Terms 1. Introduction 2. Absolute v.s. Conditional Convergence 3. Alternating Series 4. The Ratio and Root Tests 5. Conclusion 1 Introduction

More information

1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 =

1 + lim. n n+1. f(x) = x + 1, x 1. and we check that f is increasing, instead. Using the quotient rule, we easily find that. 1 (x + 1) 1 x (x + 1) 2 = Chapter 5 Sequences and series 5. Sequences Definition 5. (Sequence). A sequence is a function which is defined on the set N of natural numbers. Since such a function is uniquely determined by its values

More information

Power Series and Analytic Function

Power Series and Analytic Function Dr Mansoor Alshehri King Saud University MATH204-Differential Equations Center of Excellence in Learning and Teaching 1 / 21 Some Reviews of Power Series Differentiation and Integration of a Power Series

More information

Math 113 (Calculus 2) Exam 4

Math 113 (Calculus 2) Exam 4 Math 3 (Calculus ) Exam 4 November 0 November, 009 Sections 0, 3 7 Name Student ID Section Instructor In some cases a series may be seen to converge or diverge for more than one reason. For such problems

More information

Root test. Root test Consider the limit L = lim n a n, suppose it exists. L < 1. L > 1 (including L = ) L = 1 the test is inconclusive.

Root test. Root test Consider the limit L = lim n a n, suppose it exists. L < 1. L > 1 (including L = ) L = 1 the test is inconclusive. Root test Root test n Consider the limit L = lim n a n, suppose it exists. L < 1 a n is absolutely convergent (thus convergent); L > 1 (including L = ) a n is divergent L = 1 the test is inconclusive.

More information

Lecture 32: Taylor Series and McLaurin series We saw last day that some functions are equal to a power series on part of their domain.

Lecture 32: Taylor Series and McLaurin series We saw last day that some functions are equal to a power series on part of their domain. Lecture 32: Taylor Series and McLaurin series We saw last day that some functions are equal to a power series on part of their domain. For example f(x) = 1 1 x = 1 + x + x2 + x 3 + = ln(1 + x) = x x2 2

More information

Module 9 : Infinite Series, Tests of Convergence, Absolute and Conditional Convergence, Taylor and Maclaurin Series

Module 9 : Infinite Series, Tests of Convergence, Absolute and Conditional Convergence, Taylor and Maclaurin Series Module 9 : Infinite Series, Tests of Convergence, Absolute and Conditional Convergence, Taylor and Maclaurin Series Lecture 27 : Series of functions [Section 271] Objectives In this section you will learn

More information

Introduction Derivation General formula List of series Convergence Applications Test SERIES 4 INU0114/514 (MATHS 1)

Introduction Derivation General formula List of series Convergence Applications Test SERIES 4 INU0114/514 (MATHS 1) MACLAURIN SERIES SERIES 4 INU0114/514 (MATHS 1) Dr Adrian Jannetta MIMA CMath FRAS Maclaurin Series 1/ 21 Adrian Jannetta Recap: Binomial Series Recall that some functions can be rewritten as a power series

More information

Math 0230 Calculus 2 Lectures

Math 0230 Calculus 2 Lectures Math 00 Calculus Lectures Chapter 8 Series Numeration of sections corresponds to the text James Stewart, Essential Calculus, Early Transcendentals, Second edition. Section 8. Sequences A sequence is a

More information

2.4. Characterising Functions. Introduction. Prerequisites. Learning Outcomes

2.4. Characterising Functions. Introduction. Prerequisites. Learning Outcomes Characterising Functions 2.4 Introduction There are a number of different terms used to describe the ways in which functions behave. In this Section we explain some of these terms and illustrate their

More information

11.6: Ratio and Root Tests Page 1. absolutely convergent, conditionally convergent, or divergent?

11.6: Ratio and Root Tests Page 1. absolutely convergent, conditionally convergent, or divergent? .6: Ratio and Root Tests Page Questions ( 3) n n 3 ( 3) n ( ) n 5 + n ( ) n e n ( ) n+ n2 2 n Example Show that ( ) n n ln n ( n 2 ) n + 2n 2 + converges for all x. Deduce that = 0 for all x. Solutions

More information

2017 HSC Mathematics Extension 1 Marking Guidelines

2017 HSC Mathematics Extension 1 Marking Guidelines 07 HSC Mathematics Extension Marking Guidelines Section I Multiple-choice Answer Key Question Answer A B 3 B 4 C 5 D 6 D 7 A 8 C 9 C 0 B NESA 07 HSC Mathematics Extension Marking Guidelines Section II

More information

discrete probability distributions

discrete probability distributions 37 Contents discrete probability distributions 1. Discrete probability distributions. The binomial distribution 3. The Poisson distribution 4. The hypergeometric distribution Learning outcomes In this

More information

The integral test and estimates of sums

The integral test and estimates of sums The integral test Suppose f is a continuous, positive, decreasing function on [, ) and let a n = f (n). Then the series n= a n is convergent if and only if the improper integral f (x)dx is convergent.

More information

20.5. The Convolution Theorem. Introduction. Prerequisites. Learning Outcomes

20.5. The Convolution Theorem. Introduction. Prerequisites. Learning Outcomes The Convolution Theorem 2.5 Introduction In this Section we introduce the convolution of two functions f(t), g(t) which we denote by (f g)(t). The convolution is an important construct because of the convolution

More information

10.1 Sequences. A sequence is an ordered list of numbers: a 1, a 2, a 3,..., a n, a n+1,... Each of the numbers is called a term of the sequence.

10.1 Sequences. A sequence is an ordered list of numbers: a 1, a 2, a 3,..., a n, a n+1,... Each of the numbers is called a term of the sequence. 10.1 Sequences A sequence is an ordered list of numbers: a 1, a 2, a 3,..., a n, a n+1,... Each of the numbers is called a term of the sequence. Notation: A sequence {a 1, a 2, a 3,...} can be denoted

More information

Infinite Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Infinite Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics Infinite Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Background Consider the repeating decimal form of 2/3. 2 3 = 0.666666 = 0.6 + 0.06 + 0.006 + 0.0006 + = 6(0.1)

More information

2 2 + x =

2 2 + x = Lecture 30: Power series A Power Series is a series of the form c n = c 0 + c 1 x + c x + c 3 x 3 +... where x is a variable, the c n s are constants called the coefficients of the series. n = 1 + x +

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES 11 INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES In section 11.9, we were able to find power series representations for a certain restricted class of functions. INFINITE SEQUENCES AND SERIES

More information

8.1 Sequences. Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1.

8.1 Sequences. Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1. 8. Sequences Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = Examples: 6. Find a formula for the general term a n of the sequence, assuming

More information

Chapter 10. Infinite Sequences and Series

Chapter 10. Infinite Sequences and Series 10.6 Alternating Series, Absolute and Conditional Convergence 1 Chapter 10. Infinite Sequences and Series 10.6 Alternating Series, Absolute and Conditional Convergence Note. The convergence tests investigated

More information

Let s Get Series(ous)

Let s Get Series(ous) Department of Mathematics, Computer Science, and Statistics Bloomsburg University Bloomsburg, Pennsylvania 785 Let s Get Series(ous) Summary Presenting infinite series can be (used to be) a tedious and

More information

Polynomial Approximations and Power Series

Polynomial Approximations and Power Series Polynomial Approximations and Power Series June 24, 206 Tangent Lines One of the first uses of the derivatives is the determination of the tangent as a linear approximation of a differentiable function

More information

MATH115. Infinite Series. Paolo Lorenzo Bautista. July 17, De La Salle University. PLBautista (DLSU) MATH115 July 17, / 43

MATH115. Infinite Series. Paolo Lorenzo Bautista. July 17, De La Salle University. PLBautista (DLSU) MATH115 July 17, / 43 MATH115 Infinite Series Paolo Lorenzo Bautista De La Salle University July 17, 2014 PLBautista (DLSU) MATH115 July 17, 2014 1 / 43 Infinite Series Definition If {u n } is a sequence and s n = u 1 + u 2

More information

40.2. Interval Estimation for the Variance. Introduction. Prerequisites. Learning Outcomes

40.2. Interval Estimation for the Variance. Introduction. Prerequisites. Learning Outcomes Interval Estimation for the Variance 40.2 Introduction In Section 40.1 we have seen that the sampling distribution of the sample mean, when the data come from a normal distribution (and even, in large

More information

Assignment 4. u n+1 n(n + 1) i(i + 1) = n n (n + 1)(n + 2) n(n + 2) + 1 = (n + 1)(n + 2) 2 n + 1. u n (n + 1)(n + 2) n(n + 1) = n

Assignment 4. u n+1 n(n + 1) i(i + 1) = n n (n + 1)(n + 2) n(n + 2) + 1 = (n + 1)(n + 2) 2 n + 1. u n (n + 1)(n + 2) n(n + 1) = n Assignment 4 Arfken 5..2 We have the sum Note that the first 4 partial sums are n n(n + ) s 2, s 2 2 3, s 3 3 4, s 4 4 5 so we guess that s n n/(n + ). Proving this by induction, we see it is true for

More information

Absolute Convergence and the Ratio Test

Absolute Convergence and the Ratio Test Absolute Convergence and the Ratio Test MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Bacground Remar: All previously covered tests for convergence/divergence apply only

More information

10.3. The Exponential Form of a Complex Number. Introduction. Prerequisites. Learning Outcomes

10.3. The Exponential Form of a Complex Number. Introduction. Prerequisites. Learning Outcomes The Exponential Form of a Complex Number 10.3 Introduction In this Section we introduce a third way of expressing a complex number: the exponential form. We shall discover, through the use of the complex

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES 11 INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES Infinite sequences and series were introduced briefly in A Preview of Calculus in connection with Zeno s paradoxes and the decimal representation

More information

Taylor and Maclaurin Series

Taylor and Maclaurin Series Taylor and Maclaurin Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Background We have seen that some power series converge. When they do, we can think of them as

More information

Introduction Derivation General formula Example 1 List of series Convergence Applications Test SERIES 4 INU0114/514 (MATHS 1)

Introduction Derivation General formula Example 1 List of series Convergence Applications Test SERIES 4 INU0114/514 (MATHS 1) MACLAURIN SERIES SERIES 4 INU0114/514 (MATHS 1) Dr Adrian Jannetta MIMA CMath FRAS Maclaurin Series 1/ 19 Adrian Jannetta Background In this presentation you will be introduced to the concept of a power

More information

10.1 Sequences. Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1.

10.1 Sequences. Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1. 10.1 Sequences Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1 Examples: EX1: Find a formula for the general term a n of the sequence,

More information

How do we analyze, evaluate, solve, and graph quadratic functions?

How do we analyze, evaluate, solve, and graph quadratic functions? Topic: 4. Quadratic Functions and Factoring Days: 18 Key Learning: Students will be able to analyze, evaluate, solve and graph quadratic functions. Unit Essential Question(s): How do we analyze, evaluate,

More information

Review of Power Series

Review of Power Series Review of Power Series MATH 365 Ordinary Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Introduction In addition to the techniques we have studied so far, we may use power

More information

37.3. The Poisson Distribution. Introduction. Prerequisites. Learning Outcomes

37.3. The Poisson Distribution. Introduction. Prerequisites. Learning Outcomes The Poisson Distribution 37.3 Introduction In this Section we introduce a probability model which can be used when the outcome of an experiment is a random variable taking on positive integer values and

More information

11.6. Parametric Differentiation. Introduction. Prerequisites. Learning Outcomes

11.6. Parametric Differentiation. Introduction. Prerequisites. Learning Outcomes Parametric Differentiation 11.6 Introduction Often, the equation of a curve may not be given in Cartesian form y f(x) but in parametric form: x h(t), y g(t). In this section we see how to calculate the

More information

Math 1b Sequences and series summary

Math 1b Sequences and series summary Math b Sequences and series summary December 22, 2005 Sequences (Stewart p. 557) Notations for a sequence: or a, a 2, a 3,..., a n,... {a n }. The numbers a n are called the terms of the sequence.. Limit

More information

Math 162: Calculus IIA

Math 162: Calculus IIA Math 62: Calculus IIA Final Exam ANSWERS December 9, 26 Part A. (5 points) Evaluate the integral x 4 x 2 dx Substitute x 2 cos θ: x 8 cos dx θ ( 2 sin θ) dθ 4 x 2 2 sin θ 8 cos θ dθ 8 cos 2 θ cos θ dθ

More information

11.6. Parametric Differentiation. Introduction. Prerequisites. Learning Outcomes

11.6. Parametric Differentiation. Introduction. Prerequisites. Learning Outcomes Parametric Differentiation 11.6 Introduction Sometimes the equation of a curve is not be given in Cartesian form y f(x) but in parametric form: x h(t), y g(t). In this Section we see how to calculate the

More information

Mathematics 324 Riemann Zeta Function August 5, 2005

Mathematics 324 Riemann Zeta Function August 5, 2005 Mathematics 324 Riemann Zeta Function August 5, 25 In this note we give an introduction to the Riemann zeta function, which connects the ideas of real analysis with the arithmetic of the integers. Define

More information

5.9 Representations of Functions as a Power Series

5.9 Representations of Functions as a Power Series 5.9 Representations of Functions as a Power Series Example 5.58. The following geometric series x n + x + x 2 + x 3 + x 4 +... will converge when < x

More information

July 21 Math 2254 sec 001 Summer 2015

July 21 Math 2254 sec 001 Summer 2015 July 21 Math 2254 sec 001 Summer 2015 Section 8.8: Power Series Theorem: Let a n (x c) n have positive radius of convergence R, and let the function f be defined by this power series f (x) = a n (x c)

More information

(b) Prove that the following function does not tend to a limit as x tends. is continuous at 1. [6] you use. (i) f(x) = x 4 4x+7, I = [1,2]

(b) Prove that the following function does not tend to a limit as x tends. is continuous at 1. [6] you use. (i) f(x) = x 4 4x+7, I = [1,2] TMA M208 06 Cut-off date 28 April 2014 (Analysis Block B) Question 1 (Unit AB1) 25 marks This question tests your understanding of limits, the ε δ definition of continuity and uniform continuity, and your

More information

Infinite series, improper integrals, and Taylor series

Infinite series, improper integrals, and Taylor series Chapter 2 Infinite series, improper integrals, and Taylor series 2. Introduction to series In studying calculus, we have explored a variety of functions. Among the most basic are polynomials, i.e. functions

More information

Math 126 Enhanced 10.3 Series with positive terms The University of Kansas 1 / 12

Math 126 Enhanced 10.3 Series with positive terms The University of Kansas 1 / 12 Section 10.3 Convergence of series with positive terms 1. Integral test 2. Error estimates for the integral test 3. Comparison test 4. Limit comparison test (LCT) Math 126 Enhanced 10.3 Series with positive

More information

AP Calculus Chapter 9: Infinite Series

AP Calculus Chapter 9: Infinite Series AP Calculus Chapter 9: Infinite Series 9. Sequences a, a 2, a 3, a 4, a 5,... Sequence: A function whose domain is the set of positive integers n = 2 3 4 a n = a a 2 a 3 a 4 terms of the sequence Begin

More information

21.3. z-transforms and Difference Equations. Introduction. Prerequisites. Learning Outcomes

21.3. z-transforms and Difference Equations. Introduction. Prerequisites. Learning Outcomes -Transforms and Difference Equations 1.3 Introduction In this we apply -transforms to the solution of certain types of difference equation. We shall see that this is done by turning the difference equation

More information

Absolute Convergence and the Ratio Test

Absolute Convergence and the Ratio Test Absolute Convergence and the Ratio Test MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Bacground Remar: All previously covered tests for convergence/divergence apply only

More information

Mu Sequences and Series Topic Test Solutions FAMAT State Convention 2018

Mu Sequences and Series Topic Test Solutions FAMAT State Convention 2018 . E The first term of the sum has a division by 0 and therefore the entire expression is undefined.. C We can pair off the elements in the sum, 008 008 ( (k + ) + (k + )) = 3. D We can once again pair

More information

15.3. Moment of inertia. Introduction. Prerequisites. Learning Outcomes

15.3. Moment of inertia. Introduction. Prerequisites. Learning Outcomes Moment of inertia 15.3 Introduction In this section we show how integration is used to calculate moments of inertia. These are essential for an understanding of the dynamics of rotating bodies such as

More information

CHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE ALGEBRA II

CHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE ALGEBRA II CHINO VALLEY UNIFIED SCHOOL DISTRICT INSTRUCTIONAL GUIDE ALGEBRA II Course Number 5116 Department Mathematics Qualification Guidelines Successful completion of both semesters of Algebra 1 or Algebra 1

More information

Introduction to Series and Sequences Math 121 Calculus II Spring 2015

Introduction to Series and Sequences Math 121 Calculus II Spring 2015 Introduction to Series and Sequences Math Calculus II Spring 05 The goal. The main purpose of our study of series and sequences is to understand power series. A power series is like a polynomial of infinite

More information

Math 132 Exam 3 Fall 2016

Math 132 Exam 3 Fall 2016 Math 3 Exam 3 Fall 06 multiple choice questions worth points each. hand graded questions worth and 3 points each. Exam covers sections.-.6: Sequences, Series, Integral, Comparison, Alternating, Absolute

More information

Lecture 7 - Separable Equations

Lecture 7 - Separable Equations Lecture 7 - Separable Equations Separable equations is a very special type of differential equations where you can separate the terms involving only y on one side of the equation and terms involving only

More information

L1 2.1 Long Division of Polynomials and The Remainder Theorem Lesson MHF4U Jensen

L1 2.1 Long Division of Polynomials and The Remainder Theorem Lesson MHF4U Jensen L1 2.1 Long Division of Polynomials and The Remainder Theorem Lesson MHF4U Jensen In this section you will apply the method of long division to divide a polynomial by a binomial. You will also learn to

More information

Final exam (practice) UCLA: Math 31B, Spring 2017

Final exam (practice) UCLA: Math 31B, Spring 2017 Instructor: Noah White Date: Final exam (practice) UCLA: Math 3B, Spring 207 This exam has 8 questions, for a total of 80 points. Please print your working and answers neatly. Write your solutions in the

More information

SOLVED PROBLEMS ON TAYLOR AND MACLAURIN SERIES

SOLVED PROBLEMS ON TAYLOR AND MACLAURIN SERIES SOLVED PROBLEMS ON TAYLOR AND MACLAURIN SERIES TAYLOR AND MACLAURIN SERIES Taylor Series of a function f at x = a is ( f k )( a) ( x a) k k! It is a Power Series centered at a. Maclaurin Series of a function

More information

LECTURE 10: REVIEW OF POWER SERIES. 1. Motivation

LECTURE 10: REVIEW OF POWER SERIES. 1. Motivation LECTURE 10: REVIEW OF POWER SERIES By definition, a power series centered at x 0 is a series of the form where a 0, a 1,... and x 0 are constants. For convenience, we shall mostly be concerned with the

More information

8.5 Taylor Polynomials and Taylor Series

8.5 Taylor Polynomials and Taylor Series 8.5. TAYLOR POLYNOMIALS AND TAYLOR SERIES 50 8.5 Taylor Polynomials and Taylor Series Motivating Questions In this section, we strive to understand the ideas generated by the following important questions:

More information

MA131 - Analysis 1. Workbook 4 Sequences III

MA131 - Analysis 1. Workbook 4 Sequences III MA3 - Analysis Workbook 4 Sequences III Autumn 2004 Contents 2.3 Roots................................. 2.4 Powers................................. 3 2.5 * Application - Factorials *.....................

More information

Chapter 8. Infinite Series

Chapter 8. Infinite Series 8.4 Series of Nonnegative Terms Chapter 8. Infinite Series 8.4 Series of Nonnegative Terms Note. Given a series we have two questions:. Does the series converge? 2. If it converges, what is its sum? Corollary

More information

n=1 ( 2 3 )n (a n ) converges by direct comparison to

n=1 ( 2 3 )n (a n ) converges by direct comparison to . (a) n = a n converges, so we know that a n =. Therefore, for n large enough we know that a n

More information