MAT137 Calculus! Lecture 45

Size: px
Start display at page:

Download "MAT137 Calculus! Lecture 45"

Transcription

1 official website MAT137 Calculus! Lecture 45 Today: Taylor Polynomials Taylor Series Next: Taylor Series

2 Power Series Definition (Power Series) A power series is a series of the form n=0 a n x n = a 0 + a 1 x + a 2 x 2 + a 3 x 3 + (1) where x is a variable and the a n s are constants called the coefficients of the series. More generally, a series of the form n=0 a n (x x 0 ) n = a 0 + a 1 (x x 0 ) + a 2 (x x 0 ) 2 + a 3 (x x 0 ) 3 + (2) is called a power series in (x x 0 ) or power series centred at x 0. Remark In equation (2), we adopt the convention (x x 0 ) 0 = 1 even when x = x 0.

3 Representations of Function as Power Series Example 1 Prove that is the series a n x n and b n x n both converge to the same n=1 n=1 sum for every value of x, then a n = b n for every n.

4 Representations of Function as Power Series Example 2 If f is a function that admits a power series representation, and it s such that f (0) = 1 and f (x) = f (x) for all x R. Find the power series representation for f.

5 Linear Approximation We know that if f is differentiable at x 0 the tangent line to the graph at (x 0, f (x 0 )) y = f (x 0 ) + f (x 0 )(x x 0 ) is the best linear approximation to the graph close to the point of tangency. 1 f (x) P1(x) The are two properties that make the tangent line a good approximation close to the point of tangency: P 1 (x 0 ) = f (x 0 ) P 1 (x 0) = f (x 0 )

6 What is a good approximation? Definition A function g is an approximation of order n for a function f, as x x 0, when f (x) g(x) lim x x 0 (x x 0 ) n = 0 This means that the error of this approximation approaches 0 faster than (x x 0 ) n as x x 0.

7 Approximating Functions Theorem Assume that the functions f and g have all their derivatives. The following two statements are equivalent: 1 g is an approximation of order n for f as x x 0. In other words: f (x) g(x) lim x x 0 (x x 0 ) n = 0 2 g (x 0 ) = f (x 0 ) g (x 0 ) = f (x 0 ) g (x 0 ) = f (x 0 ) g (n) (x 0 ) = f (n) (x 0 )

8 Taylor Polynomials For a fucntion f with an n th order derivative at the point x 0, we may approximate f with a polynomial. Definition Let f be a function. Let x 0 R. Let n N. The n th Taylor polynomial for f at x 0 is the polynomial of smallest possible degree that is an approximation of order n for f as x x 0. Equivalently, it is the polynomial P of smallest possible degree that satisfies f (k) (a) = P (k) (a) 0 k n The Taylor series for f at x 0 is the power series S centred at x 0 that satisfies f (k) (a) = P (k) (a) k 0

9 Taylor Polynomials The n th Taylor polynomial for f at x 0 is a polynomial of the form P n (x) = a 0 + a 1 (x x 0 ) + a 2 (x x 0 ) 2 + a 3 (x x 0 ) a n (x x 0 ) n such that P (k) n (x 0 ) = f (k) (x 0 ) for all 0 k n To find such a polynomial we need to find the value of the constants a 0, a 1,..., a n.

10 Taylor Polynomials The n th Taylor polynomial for f at x 0 is a polynomial of the form P n (x) = a 0 + a 1 (x x 0 ) + a 2 (x x 0 ) 2 + a 3 (x x 0 ) a n (x x 0 ) n such that P (k) n (x 0 ) = f (k) (x 0 ) for all 0 k n To find such a polynomial we need to find the value of the constants a 0, a 1,..., a n. a k = f (k) (x 0 ) k! for all 0 k n

11 Taylor Polynomials and Taylor Series Definition (Taylor and Maclaurin Series) Let f be a function with at least n derivatives, then the n th Taylor polynomial for f at x 0 is the polynomial n k=0 f (k) (x 0 ) (x x 0 ) k k! Let f be a function with derivative of all orders on an interval (a R, a + R) for some R > 0. Then, the Taylor Series of f at x 0 (or centred at x 0 ) is n=0 f (n) (x 0 ) (x x 0 ) n n!

12 Taylor Polynomials and Taylor Series Example 3 Find the Taylor series for f (x) = e x at x 0 = 0.

13 Taylor Polynomials and Taylor Series Example 3 Find the Taylor series for f (x) = e x at x 0 = 0.

14 Taylor Polynomials and Taylor Series Example 4 Find the Taylor series for f (x) = sin x at x 0 = 0.

15 Taylor Polynomials and Taylor Series Example 4 Find the Taylor series for f (x) = sin x at x 0 = 0.

16 Taylor Polynomials and Taylor Series Example 4 Find the Taylor series for f (x) = sin x at x 0 = 0. Example 5 Find the Taylor series for f (x) = cos x at x 0 = 0.

17 Convergence of Taylor Series Recall that Definition We defined the remainder of a convergent series of constants to be the difference of the sum S of the series and a term s n from the sequence of partial sums, i.e. R n = S s n The remainder measures the error made in using s n to approximate S. Definition (The Remainder of a Function) Let f be a function with nth order derivative at every point on an open f (k) (x 0 ) interval containing x 0, and let P n (x) = n n=0 k! (x x 0 ) k, the nth Taylor polynomial for f at x 0. We define the nth remainder for f to be R n (x) = f (x) P n (x).

18 Convergence of Taylor Series Example 6 The 5th Taylor polynomial for f (x) = sin x at 0 is P 5 (x) = x x 3 3! + x 5 5!. Therefore, R 5 (x) = sin x (x x 3 3! + x 5 5! ).

19 Convergence of Taylor Series If lim n R n (x) = 0 on some interval I, then the Taylor Polynomials become better and better approximations for the function f as we include more terms of higher degree. Even more, in this case, the Taylor series is an alternative representation for f on the interval I, i.e. f (x) = n=0 f (n) (x 0 ) (x x 0 ) n for all x I n!

20 Convergence of Taylor Series Theorem (Taylor s Theorem) Let f be a function that can be differentiated n + 1 times in some open interval I containing x 0, and let R n (x) be the nth remainder for f at x = x 0. Then x (x t) n R n (x) = f (n+1) (t) dt n! x 0

21 Convergence of Taylor Series Theorem (Taylor s Theorem) Let f be a function that can be differentiated n + 1 times in some open interval I containing x 0, and let R n (x) be the nth remainder for f at x = x 0. Then x (x t) n R n (x) = f (n+1) (t) dt n! x 0 The next theorem gives us a more useful tool for understanding the remainder. Theorem (Lagrange s Form for the Remainder) Let f be a function that can be differentiated n + 1 times in some open interval I containing x 0, and let R n (x) be the nth remainder for f at x = x 0. Then for each x I, there exists c between x 0 and x such that R n (x) = f (n+1) (c) (n + 1)! (x x 0) n+1.

22 Convergence of Taylor Series Example 7 Show that e x = k=0 1 k! x k for all x R

23 Convergence of Taylor Series Example 8 Show that sin x = k=0 ( 1) k (2k + 1)! x 2k+1 for all x R

MAT137 Calculus! Lecture 48

MAT137 Calculus! Lecture 48 official website http://uoft.me/mat137 MAT137 Calculus! Lecture 48 Today: Taylor Series Applications Next: Final Exams Important Taylor Series and their Radii of Convergence 1 1 x = e x = n=0 n=0 x n n!

More information

Taylor and Maclaurin Series. Approximating functions using Polynomials.

Taylor and Maclaurin Series. Approximating functions using Polynomials. Taylor and Maclaurin Series Approximating functions using Polynomials. Approximating f x = e x near x = 0 In order to approximate the function f x = e x near x = 0, we can use the tangent line (The Linear

More information

AP Calculus Testbank (Chapter 9) (Mr. Surowski)

AP Calculus Testbank (Chapter 9) (Mr. Surowski) AP Calculus Testbank (Chapter 9) (Mr. Surowski) Part I. Multiple-Choice Questions n 1 1. The series will converge, provided that n 1+p + n + 1 (A) p > 1 (B) p > 2 (C) p >.5 (D) p 0 2. The series

More information

Taylor and Maclaurin Series. Approximating functions using Polynomials.

Taylor and Maclaurin Series. Approximating functions using Polynomials. Taylor and Maclaurin Series Approximating functions using Polynomials. Approximating f x = e x near x = 0 In order to approximate the function f x = e x near x = 0, we can use the tangent line (The Linear

More information

e x = 1 + x + x2 2! + x3 If the function f(x) can be written as a power series on an interval I, then the power series is of the form

e x = 1 + x + x2 2! + x3 If the function f(x) can be written as a power series on an interval I, then the power series is of the form Taylor Series Given a function f(x), we would like to be able to find a power series that represents the function. For example, in the last section we noted that we can represent e x by the power series

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

Section 8.7. Taylor and MacLaurin Series. (1) Definitions, (2) Common Maclaurin Series, (3) Taylor Polynomials, (4) Applications.

Section 8.7. Taylor and MacLaurin Series. (1) Definitions, (2) Common Maclaurin Series, (3) Taylor Polynomials, (4) Applications. Section 8.7 Taylor and MacLaurin Series (1) Definitions, (2) Common Maclaurin Series, (3) Taylor Polynomials, (4) Applications. MATH 126 (Section 8.7) Taylor and MacLaurin Series The University of Kansas

More information

MAT137 Calculus! Lecture 19

MAT137 Calculus! Lecture 19 MAT137 Calculus! Lecture 19 Today: L Hôpital s Rule 11.5 The Indeterminate Form (0/0) 11.6 The Indeterminate Form ( / ) + other Indeterminate Forms Test 2: Friday, Nov. 25. If you have a conflict, let

More information

8.7 Taylor s Inequality Math 2300 Section 005 Calculus II. f(x) = ln(1 + x) f(0) = 0

8.7 Taylor s Inequality Math 2300 Section 005 Calculus II. f(x) = ln(1 + x) f(0) = 0 8.7 Taylor s Inequality Math 00 Section 005 Calculus II Name: ANSWER KEY Taylor s Inequality: If f (n+) is continuous and f (n+) < M between the center a and some point x, then f(x) T n (x) M x a n+ (n

More information

AP Calculus (BC) Chapter 9 Test No Calculator Section Name: Date: Period:

AP Calculus (BC) Chapter 9 Test No Calculator Section Name: Date: Period: WORKSHEET: Series, Taylor Series AP Calculus (BC) Chapter 9 Test No Calculator Section Name: Date: Period: 1 Part I. Multiple-Choice Questions (5 points each; please circle the correct answer.) 1. The

More information

Module 5 : Linear and Quadratic Approximations, Error Estimates, Taylor's Theorem, Newton and Picard Methods

Module 5 : Linear and Quadratic Approximations, Error Estimates, Taylor's Theorem, Newton and Picard Methods Module 5 : Linear and Quadratic Approximations, Error Estimates, Taylor's Theorem, Newton and Picard Methods Lecture 14 : Taylor's Theorem [Section 141] Objectives In this section you will learn the following

More information

Section Example Determine the Maclaurin series of f (x) = e x and its the interval of convergence.

Section Example Determine the Maclaurin series of f (x) = e x and its the interval of convergence. Example Determine the Maclaurin series of f (x) = e x and its the interval of convergence. Example Determine the Maclaurin series of f (x) = e x and its the interval of convergence. f n (0)x n Recall from

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

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

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

MATLAB Laboratory 10/14/10 Lecture. Taylor Polynomials

MATLAB Laboratory 10/14/10 Lecture. Taylor Polynomials MATLAB Laboratory 10/14/10 Lecture Taylor Polynomials Lisa A. Oberbroeckling Loyola University Maryland loberbroeckling@loyola.edu L. Oberbroeckling (Loyola University) MATLAB 10/14/10 Lecture 1 / 7 Taylor/Maclaurin

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

Taylor Series. Math114. March 1, Department of Mathematics, University of Kentucky. Math114 Lecture 18 1/ 13

Taylor Series. Math114. March 1, Department of Mathematics, University of Kentucky. Math114 Lecture 18 1/ 13 Taylor Series Math114 Department of Mathematics, University of Kentucky March 1, 2017 Math114 Lecture 18 1/ 13 Given a function, can we find a power series representation? Math114 Lecture 18 2/ 13 Given

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

CHALLENGE! (0) = 5. Construct a polynomial with the following behavior at x = 0:

CHALLENGE! (0) = 5. Construct a polynomial with the following behavior at x = 0: TAYLOR SERIES Construct a polynomial with the following behavior at x = 0: CHALLENGE! P( x) = a + ax+ ax + ax + ax 2 3 4 0 1 2 3 4 P(0) = 1 P (0) = 2 P (0) = 3 P (0) = 4 P (4) (0) = 5 Sounds hard right?

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

MAT137 Calculus! Lecture 5

MAT137 Calculus! Lecture 5 MAT137 Calculus! Lecture 5 Today: 2.5 The Pinching Theorem; 2.5 Trigonometric Limits. 2.6 Two Basic Theorems. 3.1 The Derivative Next: 3.2-3.6 DIfferentiation Rules Deadline to notify us if you have a

More information

MAT137 Calculus! Lecture 20

MAT137 Calculus! Lecture 20 official website http://uoft.me/mat137 MAT137 Calculus! Lecture 20 Today: 4.6 Concavity 4.7 Asypmtotes Next: 4.8 Curve Sketching Indeterminate Forms for Limits Which of the following are indeterminate

More information

Math Numerical Analysis

Math Numerical Analysis Math 541 - Numerical Analysis Joseph M. Mahaffy, jmahaffy@mail.sdsu.edu Department of Mathematics and Statistics Dynamical Systems Group Computational Sciences Research Center San Diego State University

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

MAT137 Calculus! Lecture 6

MAT137 Calculus! Lecture 6 MAT137 Calculus! Lecture 6 Today: 3.2 Differentiation Rules; 3.3 Derivatives of higher order. 3.4 Related rates 3.5 Chain Rule 3.6 Derivative of Trig. Functions Next: 3.7 Implicit Differentiation 4.10

More information

Math 651 Introduction to Numerical Analysis I Fall SOLUTIONS: Homework Set 1

Math 651 Introduction to Numerical Analysis I Fall SOLUTIONS: Homework Set 1 ath 651 Introduction to Numerical Analysis I Fall 2010 SOLUTIONS: Homework Set 1 1. Consider the polynomial f(x) = x 2 x 2. (a) Find P 1 (x), P 2 (x) and P 3 (x) for f(x) about x 0 = 0. What is the relation

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

Math 1B, lecture 15: Taylor Series

Math 1B, lecture 15: Taylor Series Math B, lecture 5: Taylor Series Nathan Pflueger October 0 Introduction Taylor s theorem shows, in many cases, that the error associated with a Taylor approximation will eventually approach 0 as the degree

More information

CALCULUS: Math 21C, Fall 2010 Final Exam: Solutions. 1. [25 pts] Do the following series converge or diverge? State clearly which test you use.

CALCULUS: Math 21C, Fall 2010 Final Exam: Solutions. 1. [25 pts] Do the following series converge or diverge? State clearly which test you use. CALCULUS: Math 2C, Fall 200 Final Exam: Solutions. [25 pts] Do the following series converge or diverge? State clearly which test you use. (a) (d) n(n + ) ( ) cos n n= n= (e) (b) n= n= [ cos ( ) n n (c)

More information

Completion Date: Monday February 11, 2008

Completion Date: Monday February 11, 2008 MATH 4 (R) Winter 8 Intermediate Calculus I Solutions to Problem Set #4 Completion Date: Monday February, 8 Department of Mathematical and Statistical Sciences University of Alberta Question. [Sec..9,

More information

Fundamental Theorem of Calculus

Fundamental Theorem of Calculus Fundamental Theorem of Calculus MATH 6 Calculus I J. Robert Buchanan Department of Mathematics Summer 208 Remarks The Fundamental Theorem of Calculus (FTC) will make the evaluation of definite integrals

More information

Analysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series

Analysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series .... Analysis II: Basic knowledge of real analysis: Part V, Power Series, Differentiation, and Taylor Series Kenichi Maruno Department of Mathematics, The University of Texas - Pan American March 4, 20

More information

Chapter 3 Differentiation Rules

Chapter 3 Differentiation Rules Chapter 3 Differentiation Rules Derivative constant function if c is any real number, then Example: The Power Rule: If n is a positive integer, then Example: Extended Power Rule: If r is any real number,

More information

Multiple Choice Review Problems

Multiple Choice Review Problems Multiple Choice Review Problems 1. (NC) Which graph best represents the position of a particle, st ( ), as a function of time, if the particle's velocity is negative and the particle's acceleration is

More information

AP Calculus BC. Free-Response Questions

AP Calculus BC. Free-Response Questions 017 AP Calculus BC Free-Response Questions 017 The College Board. College Board, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks of the College Board. 017 AP CALCULUS

More information

(c) Find the equation of the degree 3 polynomial that has the same y-value, slope, curvature, and third derivative as ln(x + 1) at x = 0.

(c) Find the equation of the degree 3 polynomial that has the same y-value, slope, curvature, and third derivative as ln(x + 1) at x = 0. Chapter 7 Challenge problems Example. (a) Find the equation of the tangent line for ln(x + ) at x = 0. (b) Find the equation of the parabola that is tangent to ln(x + ) at x = 0 (i.e. the parabola has

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

Math 1310 Section 4.1: Polynomial Functions and Their Graphs. A polynomial function is a function of the form ...

Math 1310 Section 4.1: Polynomial Functions and Their Graphs. A polynomial function is a function of the form ... Math 1310 Section 4.1: Polynomial Functions and Their Graphs A polynomial function is a function of the form... where 0,,,, are real numbers and n is a whole number. The degree of the polynomial function

More information

Higher Portfolio Quadratics and Polynomials

Higher Portfolio Quadratics and Polynomials Higher Portfolio Quadratics and Polynomials Higher 5. Quadratics and Polynomials Section A - Revision Section This section will help you revise previous learning which is required in this topic R1 I have

More information

Ma 530 Power Series II

Ma 530 Power Series II Ma 530 Power Series II Please note that there is material on power series at Visual Calculus. Some of this material was used as part of the presentation of the topics that follow. Operations on Power Series

More information

MATH 1231 MATHEMATICS 1B CALCULUS. Section 5: - Power Series and Taylor Series.

MATH 1231 MATHEMATICS 1B CALCULUS. Section 5: - Power Series and Taylor Series. MATH 1231 MATHEMATICS 1B CALCULUS. Section 5: - Power Series and Taylor Series. The objective of this section is to become familiar with the theory and application of power series and Taylor series. By

More information

MATH 1231 MATHEMATICS 1B Calculus Section 4.4: Taylor & Power series.

MATH 1231 MATHEMATICS 1B Calculus Section 4.4: Taylor & Power series. MATH 1231 MATHEMATICS 1B 2010. For use in Dr Chris Tisdell s lectures. Calculus Section 4.4: Taylor & Power series. 1. What is a Taylor series? 2. Convergence of Taylor series 3. Common Maclaurin series

More information

Properties of a Taylor Polynomial

Properties of a Taylor Polynomial 3.4.4: Still Better Approximations: Taylor Polynomials Properties of a Taylor Polynomial Constant: f (x) f (a) Linear: f (x) f (a) + f (a)(x a) Quadratic: f (x) f (a) + f (a)(x a) + 1 2 f (a)(x a) 2 3.4.4:

More information

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1.

MTH4101 CALCULUS II REVISION NOTES. 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) ax 2 + bx + c = 0. x = b ± b 2 4ac 2a. i = 1. MTH4101 CALCULUS II REVISION NOTES 1. COMPLEX NUMBERS (Thomas Appendix 7 + lecture notes) 1.1 Introduction Types of numbers (natural, integers, rationals, reals) The need to solve quadratic equations:

More information

AP Calculus BC Scope & Sequence

AP Calculus BC Scope & Sequence AP Calculus BC Scope & Sequence Grading Period Unit Title Learning Targets Throughout the School Year First Grading Period *Apply mathematics to problems in everyday life *Use a problem-solving model that

More information

NUMERICAL METHODS. x n+1 = 2x n x 2 n. In particular: which of them gives faster convergence, and why? [Work to four decimal places.

NUMERICAL METHODS. x n+1 = 2x n x 2 n. In particular: which of them gives faster convergence, and why? [Work to four decimal places. NUMERICAL METHODS 1. Rearranging the equation x 3 =.5 gives the iterative formula x n+1 = g(x n ), where g(x) = (2x 2 ) 1. (a) Starting with x = 1, compute the x n up to n = 6, and describe what is happening.

More information

Chapter 12: Differentiation. SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M.

Chapter 12: Differentiation. SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M. Chapter 12: Differentiation SSMth2: Basic Calculus Science and Technology, Engineering and Mathematics (STEM) Strands Mr. Migo M. Mendoza Chapter 12: Differentiation Lecture 12.1: The Derivative Lecture

More information

Lecture 34: Recall Defn: The n-th Taylor polynomial for a function f at a is: n f j (a) j! + f n (a)

Lecture 34: Recall Defn: The n-th Taylor polynomial for a function f at a is: n f j (a) j! + f n (a) Lecture 34: Recall Defn: The n-th Taylor polynomial for a function f at a is: n f j (a) P n (x) = (x a) j. j! j=0 = f(a)+(f (a))(x a)+(1/2)(f (a))(x a) 2 +(1/3!)(f (a))(x a) 3 +... + f n (a) (x a) n n!

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

Chapter 8: Taylor s theorem and L Hospital s rule

Chapter 8: Taylor s theorem and L Hospital s rule Chapter 8: Taylor s theorem and L Hospital s rule Theorem: [Inverse Mapping Theorem] Suppose that a < b and f : [a, b] R. Given that f (x) > 0 for all x (a, b) then f 1 is differentiable on (f(a), f(b))

More information

Today s Agenda. Upcoming Homework Section 2.1: Derivatives and Rates of Change

Today s Agenda. Upcoming Homework Section 2.1: Derivatives and Rates of Change Today s Agenda Upcoming Homework Section 2.1: Derivatives and Rates of Change Lindsey K. Gamard, ASU SoMSS MAT 265: Calculus for Engineers I Wed., 9 September 2015 1 / 9 Upcoming Homework Written HW B:

More information

11.11 Applications of Taylor Polynomials. Copyright Cengage Learning. All rights reserved.

11.11 Applications of Taylor Polynomials. Copyright Cengage Learning. All rights reserved. 11.11 Applications of Taylor Polynomials Copyright Cengage Learning. All rights reserved. Approximating Functions by Polynomials 2 Approximating Functions by Polynomials Suppose that f(x) is equal to the

More information

MTAEA Differentiation

MTAEA Differentiation School of Economics, Australian National University February 5, 2010 Basic Properties of the Derivative. Secant Tangent Applet l 3 l 2 l 1 a a 3 a 2 a 1 Figure: The derivative of f at a is the limiting

More information

Chapter 11. Taylor Series. Josef Leydold Mathematical Methods WS 2018/19 11 Taylor Series 1 / 27

Chapter 11. Taylor Series. Josef Leydold Mathematical Methods WS 2018/19 11 Taylor Series 1 / 27 Chapter 11 Taylor Series Josef Leydold Mathematical Methods WS 2018/19 11 Taylor Series 1 / 27 First-Order Approximation We want to approximate function f by some simple function. Best possible approximation

More information

1 Question related to polynomials

1 Question related to polynomials 07-08 MATH00J Lecture 6: Taylor Series Charles Li Warning: Skip the material involving the estimation of error term Reference: APEX Calculus This lecture introduced Taylor Polynomial and Taylor Series

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

Aim: How do we prepare for AP Problems on limits, continuity and differentiability? f (x)

Aim: How do we prepare for AP Problems on limits, continuity and differentiability? f (x) Name AP Calculus Date Supplemental Review 1 Aim: How do we prepare for AP Problems on limits, continuity and differentiability? Do Now: Use the graph of f(x) to evaluate each of the following: 1. lim x

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

Section 5.8. Taylor Series

Section 5.8. Taylor Series Difference Equations to Differential Equations Section 5.8 Taylor Series In this section we will put together much of the work of Sections 5.-5.7 in the context of a discussion of Taylor series. We begin

More information

Section 9.7 and 9.10: Taylor Polynomials and Approximations/Taylor and Maclaurin Series

Section 9.7 and 9.10: Taylor Polynomials and Approximations/Taylor and Maclaurin Series Section 9.7 and 9.10: Taylor Polynomials and Approximations/Taylor and Maclaurin Series Power Series for Functions We can create a Power Series (or polynomial series) that can approximate a function around

More information

Exam 2. Average: 85.6 Median: 87.0 Maximum: Minimum: 55.0 Standard Deviation: Numerical Methods Fall 2011 Lecture 20

Exam 2. Average: 85.6 Median: 87.0 Maximum: Minimum: 55.0 Standard Deviation: Numerical Methods Fall 2011 Lecture 20 Exam 2 Average: 85.6 Median: 87.0 Maximum: 100.0 Minimum: 55.0 Standard Deviation: 10.42 Fall 2011 1 Today s class Multiple Variable Linear Regression Polynomial Interpolation Lagrange Interpolation Newton

More information

Section 4.2: The Mean Value Theorem

Section 4.2: The Mean Value Theorem Section 4.2: The Mean Value Theorem Before we continue with the problem of describing graphs using calculus we shall briefly pause to examine some interesting applications of the derivative. In previous

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

APPM 1360 Final Exam Spring 2016

APPM 1360 Final Exam Spring 2016 APPM 36 Final Eam Spring 6. 8 points) State whether each of the following quantities converge or diverge. Eplain your reasoning. a) The sequence a, a, a 3,... where a n ln8n) lnn + ) n!) b) ln d c) arctan

More information

Math 115 HW #5 Solutions

Math 115 HW #5 Solutions Math 5 HW #5 Solutions From 29 4 Find the power series representation for the function and determine the interval of convergence Answer: Using the geometric series formula, f(x) = 3 x 4 3 x 4 = 3(x 4 )

More information

Power Series. x n. Using the ratio test. n n + 1. x n+1 n 3. = lim x. lim n + 1. = 1 < x < 1. Then r = 1 and I = ( 1, 1) ( 1) n 1 x n.

Power Series. x n. Using the ratio test. n n + 1. x n+1 n 3. = lim x. lim n + 1. = 1 < x < 1. Then r = 1 and I = ( 1, 1) ( 1) n 1 x n. .8 Power Series. n x n x n n Using the ratio test. lim x n+ n n + lim x n n + so r and I (, ). By the ratio test. n Then r and I (, ). n x < ( ) n x n < x < n lim x n+ n (n + ) x n lim xn n (n + ) x

More information

Taylor Series and Maclaurin Series

Taylor Series and Maclaurin Series Taylor Series and Maclaurin Series Definition (Taylor Series) Suppose the function f is infinitely di erentiable at a. The Taylor series of f about a (or at a or centered at a) isthepowerseries f (n) (a)

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

MAT137 Calculus! Lecture 9

MAT137 Calculus! Lecture 9 MAT137 Calculus! Lecture 9 Today we will study: Limits at infinity. L Hôpital s Rule. Mean Value Theorem. (11.5,11.6, 4.1) PS3 is due this Friday June 16. Next class: Applications of the Mean Value Theorem.

More information

The degree of the polynomial function is n. We call the term the leading term, and is called the leading coefficient. 0 =

The degree of the polynomial function is n. We call the term the leading term, and is called the leading coefficient. 0 = Math 1310 A polynomial function is a function of the form = + + +...+ + where 0,,,, are real numbers and n is a whole number. The degree of the polynomial function is n. We call the term the leading term,

More information

AP Calculus AB. Free-Response Questions

AP Calculus AB. Free-Response Questions 2018 AP Calculus AB Free-Response Questions College Board, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks of the College Board. AP Central is the official online

More information

AP Calculus BC 2013 Scoring Guidelines

AP Calculus BC 2013 Scoring Guidelines AP Calculus BC Scoring Guidelines The College Board The College Board is a mission-driven not-for-profit organization that connects students to college success and opportunity. Founded in 9, the College

More information

AP Calculus BC. Free-Response Questions

AP Calculus BC. Free-Response Questions 2018 AP Calculus BC Free-Response Questions College Board, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks of the College Board. AP Central is the official online

More information

Math 113 Final Exam Practice

Math 113 Final Exam Practice Math Final Exam Practice The Final Exam is comprehensive. You should refer to prior reviews when studying material in chapters 6, 7, 8, and.-9. This review will cover.0- and chapter 0. This sheet has three

More information

Math 473: Practice Problems for Test 1, Fall 2011, SOLUTIONS

Math 473: Practice Problems for Test 1, Fall 2011, SOLUTIONS Math 473: Practice Problems for Test 1, Fall 011, SOLUTIONS Show your work: 1. (a) Compute the Taylor polynomials P n (x) for f(x) = sin x and x 0 = 0. Solution: Compute f(x) = sin x, f (x) = cos x, f

More information

LIMITS AT INFINITY MR. VELAZQUEZ AP CALCULUS

LIMITS AT INFINITY MR. VELAZQUEZ AP CALCULUS LIMITS AT INFINITY MR. VELAZQUEZ AP CALCULUS RECALL: VERTICAL ASYMPTOTES Remember that for a rational function, vertical asymptotes occur at values of x = a which have infinite its (either positive or

More information

BC Exam 1 - Part I 28 questions No Calculator Allowed - Solutions C = 2. Which of the following must be true?

BC Exam 1 - Part I 28 questions No Calculator Allowed - Solutions C = 2. Which of the following must be true? BC Exam 1 - Part I 8 questions No Calculator Allowed - Solutions 6x 5 8x 3 1. Find lim x 0 9x 3 6x 5 A. 3 B. 8 9 C. 4 3 D. 8 3 E. nonexistent ( ) f ( 4) f x. Let f be a function such that lim x 4 x 4 I.

More information

MA4001 Engineering Mathematics 1 Lecture 15 Mean Value Theorem Increasing and Decreasing Functions Higher Order Derivatives Implicit Differentiation

MA4001 Engineering Mathematics 1 Lecture 15 Mean Value Theorem Increasing and Decreasing Functions Higher Order Derivatives Implicit Differentiation MA4001 Engineering Mathematics 1 Lecture 15 Mean Value Theorem Increasing and Decreasing Functions Higher Order Derivatives Implicit Differentiation Dr. Sarah Mitchell Autumn 2014 Rolle s Theorem Theorem

More information

MA 137 Calculus 1 with Life Science Applications Linear Approximations (Section 4.8)

MA 137 Calculus 1 with Life Science Applications Linear Approximations (Section 4.8) MA 137 Calculus 1 with Life Science Applications Linear Approximations (Section 4.8) Alberto Corso alberto.corso@uky.edu Department of Mathematics University of Kentucky October 28, 2015 1/12 Tangent Line

More information

PRACTICE PROBLEMS FOR MIDTERM I

PRACTICE PROBLEMS FOR MIDTERM I Problem. Find the limits or explain why they do not exist (i) lim x,y 0 x +y 6 x 6 +y ; (ii) lim x,y,z 0 x 6 +y 6 +z 6 x +y +z. (iii) lim x,y 0 sin(x +y ) x +y Problem. PRACTICE PROBLEMS FOR MIDTERM I

More information

Lesson 31 - Average and Instantaneous Rates of Change

Lesson 31 - Average and Instantaneous Rates of Change Lesson 31 - Average and Instantaneous Rates of Change IBHL Math & Calculus - Santowski 1 Lesson Objectives! 1. Calculate an average rate of change! 2. Estimate instantaneous rates of change using a variety

More information

Jim Lambers MAT 460 Fall Semester Lecture 2 Notes

Jim Lambers MAT 460 Fall Semester Lecture 2 Notes Jim Lambers MAT 460 Fall Semester 2009-10 Lecture 2 Notes These notes correspond to Section 1.1 in the text. Review of Calculus Among the mathematical problems that can be solved using techniques from

More information

MATHEMATICS AP Calculus (BC) Standard: Number, Number Sense and Operations

MATHEMATICS AP Calculus (BC) Standard: Number, Number Sense and Operations Standard: Number, Number Sense and Operations Computation and A. Develop an understanding of limits and continuity. 1. Recognize the types of nonexistence of limits and why they Estimation are nonexistent.

More information

MATH 1372, SECTION 33, MIDTERM 3 REVIEW ANSWERS

MATH 1372, SECTION 33, MIDTERM 3 REVIEW ANSWERS MATH 1372, SECTION 33, MIDTERM 3 REVIEW ANSWERS 1. We have one theorem whose conclusion says an alternating series converges. We have another theorem whose conclusion says an alternating series diverges.

More information

Semester University of Sheffield. School of Mathematics and Statistics

Semester University of Sheffield. School of Mathematics and Statistics University of Sheffield School of Mathematics and Statistics MAS140: Mathematics (Chemical) MAS15: Civil Engineering Mathematics MAS15: Essential Mathematical Skills & Techniques MAS156: Mathematics (Electrical

More information

Chapter 4: More Applications of Differentiation

Chapter 4: More Applications of Differentiation Chapter 4: More Applications of Differentiation Autumn 2017 Department of Mathematics Hong Kong Baptist University 1 / 68 In the fall of 1972, President Nixon announced that, the rate of increase of inflation

More information

AP Calculus BC 2015 Free-Response Questions

AP Calculus BC 2015 Free-Response Questions AP Calculus BC 05 Free-Response Questions 05 The College Board. College Board, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks of the College Board. AP Central

More information

TEST CODE: MIII (Objective type) 2010 SYLLABUS

TEST CODE: MIII (Objective type) 2010 SYLLABUS TEST CODE: MIII (Objective type) 200 SYLLABUS Algebra Permutations and combinations. Binomial theorem. Theory of equations. Inequalities. Complex numbers and De Moivre s theorem. Elementary set theory.

More information

Exam 1. (2x + 1) 2 9. lim. (rearranging) (x 1 implies x 1, thus x 1 0

Exam 1. (2x + 1) 2 9. lim. (rearranging) (x 1 implies x 1, thus x 1 0 Department of Mathematical Sciences Instructor: Daiva Pucinskaite Calculus I January 28, 2016 Name: Exam 1 1. Evaluate the it x 1 (2x + 1) 2 9. x 1 (2x + 1) 2 9 4x 2 + 4x + 1 9 = 4x 2 + 4x 8 = 4(x 1)(x

More information

Student Study Session. Theorems

Student Study Session. Theorems Students should be able to apply and have a geometric understanding of the following: Intermediate Value Theorem Mean Value Theorem for derivatives Extreme Value Theorem Name Formal Statement Restatement

More information

Section 4.3 Concavity and Curve Sketching 1.5 Lectures. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I

Section 4.3 Concavity and Curve Sketching 1.5 Lectures. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I Section 4.3 Concavity and Curve Sketching 1.5 Lectures College of Science MATHS 101: Calculus I (University of Bahrain) Concavity 1 / 29 Concavity Increasing Function has three cases (University of Bahrain)

More information

Families of Functions, Taylor Polynomials, l Hopital s

Families of Functions, Taylor Polynomials, l Hopital s Unit #6 : Rule Families of Functions, Taylor Polynomials, l Hopital s Goals: To use first and second derivative information to describe functions. To be able to find general properties of families of functions.

More information

X. Numerical Methods

X. Numerical Methods X. Numerical Methods. Taylor Approximation Suppose that f is a function defined in a neighborhood of a point c, and suppose that f has derivatives of all orders near c. In section 5 of chapter 9 we introduced

More information

Infinite Series. Copyright Cengage Learning. All rights reserved.

Infinite Series. Copyright Cengage Learning. All rights reserved. Infinite Series Copyright Cengage Learning. All rights reserved. Taylor and Maclaurin Series Copyright Cengage Learning. All rights reserved. Objectives Find a Taylor or Maclaurin series for a function.

More information

f (r) (a) r! (x a) r, r=0

f (r) (a) r! (x a) r, r=0 Part 3.3 Differentiation v1 2018 Taylor Polynomials Definition 3.3.1 Taylor 1715 and Maclaurin 1742) If a is a fixed number, and f is a function whose first n derivatives exist at a then the Taylor polynomial

More information

Math 107H Fall 2008 Course Log and Cumulative Homework List

Math 107H Fall 2008 Course Log and Cumulative Homework List Date: 8/25 Sections: 5.4 Math 107H Fall 2008 Course Log and Cumulative Homework List Log: Course policies. Review of Intermediate Value Theorem. The Mean Value Theorem for the Definite Integral and the

More information

Downloaded from

Downloaded from Question 1: Exercise 2.1 The graphs of y = p(x) are given in following figure, for some polynomials p(x). Find the number of zeroes of p(x), in each case. (i) (ii) (iii) Page 1 of 24 (iv) (v) (v) Page

More information

MATH 163 HOMEWORK Week 13, due Monday April 26 TOPICS. c n (x a) n then c n = f(n) (a) n!

MATH 163 HOMEWORK Week 13, due Monday April 26 TOPICS. c n (x a) n then c n = f(n) (a) n! MATH 63 HOMEWORK Week 3, due Monday April 6 TOPICS 4. Taylor series Reading:.0, pages 770-77 Taylor series. If a function f(x) has a power series representation f(x) = c n (x a) n then c n = f(n) (a) ()

More information

SYSTEMS OF NONLINEAR EQUATIONS

SYSTEMS OF NONLINEAR EQUATIONS SYSTEMS OF NONLINEAR EQUATIONS Widely used in the mathematical modeling of real world phenomena. We introduce some numerical methods for their solution. For better intuition, we examine systems of two

More information