Section 11.6 – Taylor’s Formula with Remainder

Slides:



Advertisements
Similar presentations
Section 11.5 – Testing for Convergence at Endpoints.
Advertisements

Taylor’s Theorem Section 9.3a. While it is beautiful that certain functions can be represented exactly by infinite Taylor series, it is the inexact Taylor.
9.7 Taylor Series. Brook Taylor Taylor Series Brook Taylor was an accomplished musician and painter. He did research in a variety of areas,
Copyright © Cengage Learning. All rights reserved.
Infinite Sequences and Series
Representing Functions by Power Series. A power series is said to represent a function f with a domain equal to the interval I of convergence of the series.
CISE-301: Numerical Methods Topic 1: Introduction to Numerical Methods and Taylor Series Lectures 1-4: KFUPM.
9.2 Taylor Series Quick Review Find a formula for the nth derivative of the function.
© 2010 Pearson Education Inc.Goldstein/Schneider/Lay/Asmar, CALCULUS AND ITS APPLICATIONS, 12e– Slide 1 of 57 Chapter 11 Taylor Polynomials and Infinite.
CISE-301: Numerical Methods Topic 1: Introduction to Numerical Methods and Taylor Series Lectures 1-4: KFUPM CISE301_Topic1.
Taylor’s Polynomials & LaGrange Error Review
Consider the following: Now, use the reciprocal function and tangent line to get an approximation. Lecture 31 – Approximating Functions
Chapter 8-Infinite Series Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.
9.3 Taylor’s Theorem: Error Analysis for Series
Now that you’ve found a polynomial to approximate your function, how good is your polynomial? Find the 6 th degree Maclaurin polynomial for For what values.
Warm up Construct the Taylor polynomial of degree 5 about x = 0 for the function f(x)=ex. Graph f and your approximation function for a graphical comparison.
9.7 and 9.10 Taylor Polynomials and Taylor Series.
Remainder Estimation Theorem
Taylor’s Theorem: Error Analysis for Series. Taylor series are used to estimate the value of functions (at least theoretically - now days we can usually.
12.8 Taylor’s Theorem: Error Analysis for Series Tacoma Narrows Bridge: November 7, 1940.
The Convergence Problem Recall that the nth Taylor polynomial for a function f about x = x o has the property that its value and the values of its first.
9.3 Taylor’s Theorem: Error Analysis for Series
In this section we develop general methods for finding power series representations. Suppose that f (x) is represented by a power series centered at.
Sect. 9-B LAGRANGE error or Remainder
This is an example of an infinite series. 1 1 Start with a square one unit by one unit: This series converges (approaches a limiting value.) Many series.
9.3 Taylor’s Theorem: Error Analysis for Series Tacoma Narrows Bridge: November 7, 1940 Greg Kelly, Hanford High School, Richland, Washington.
9.3 Taylor’s Theorem Quick Review Tell whether the function has derivatives of all orders at the given values of a.
Remainder Theorem. The n-th Talor polynomial The polynomial is called the n-th Taylor polynomial for f about c.
Section 9.7 – Taylor Theorem. Taylor’s Theorem Like all of the “Value Theorems,” this is an existence theorem.
Copyright © Cengage Learning. All rights reserved.
Maclaurin and Taylor Polynomials Objective: Improve on the local linear approximation for higher order polynomials.
9.3 Taylor’s Theorem: Error Analysis yes no.
Taylor series are used to estimate the value of functions (at least theoretically - now days we can usually use the calculator or computer to calculate.
1 Chapter 9. 2 Does converge or diverge and why?
MTH 253 Calculus (Other Topics) Chapter 11 – Infinite Sequences and Series Section 11.8 –Taylor and Maclaurin Series Copyright © 2009 by Ron Wallace, all.
Copyright © Cengage Learning. All rights reserved Applications of Taylor Polynomials.
Copyright © Cengage Learning. All rights reserved The Integral Test and Estimates of Sums.
Convergence of Taylor Series Objective: To find where a Taylor Series converges to the original function; approximate trig, exponential and logarithmic.
9.7 day 2 Taylor’s Theorem: Error Analysis for Series Tacoma Narrows Bridge: November 7, 1940 Greg Kelly, Hanford High School, Richland, Washington.
In the special case c = 0, T (x) is also called the Maclaurin Series: THEOREM 1 Taylor Series Expansion If f (x) is represented by a power series.
Lecture 25 – Power Series Def: The power series centered at x = a:
Section 11.3 – Power Series.
The Taylor Polynomial Remainder (aka: the Lagrange Error Bound)
Copyright © Cengage Learning. All rights reserved.
The LaGrange Error Estimate
Section 8: Alternating Series
9.3 Taylor’s Theorem: Error Analysis for Series
Chapter 23.
Taylor Polynomials & Approximation (9.7)
Calculus BC AP/Dual, Revised © : Lagrange's Error Bound
Remainder of a Taylor Polynomial
Section 11.3 Power Series.
Taylor Series – Day 2 Section 9.6 Calculus BC AP/Dual, Revised ©2014
Copyright © Cengage Learning. All rights reserved.
Taylor Series and Maclaurin Series
Taylor Series Part 2.
11.1 – Polynomial Approximations of Functions
Section 11.6 – Taylor’s Formula with Remainder
Taylor’s Theorem: Error Analysis for Series
In the case where all the terms are positive,
BC Fall Review.
Taylor Polynomials – Day 2
Copyright © Cengage Learning. All rights reserved.
30 m 2000 m 30 m 2000 m. 30 m 2000 m 30 m 2000 m.
9.3 Taylor’s Theorem: Error Analysis for Series
Which of the given series is(are) convergent?
9.7 Taylor Polynomials & Approximations
12.12 Lagrange Remainder Mathboat.com.
Determine whether the series is absolutely convergent, conditionally convergent, or divergent. {image} divergent conditionally convergent absolutely convergent.
Lagrange Remainder.
Presentation transcript:

Section 11.6 – Taylor’s Formula with Remainder

The Lagrange Remainder of a Taylor Polynomial where z is some number between x and c The Error of a Taylor Polynomial where M is the maximum value of on the interval [b, c] or [c, b]

Let f be a function that has derivatives of all orders on the Interval (-1, 1). Assume f(0) = 1, f ‘ (0) = ½, f ”(0) = -1/4, f ’’’(0) = 3/8 and for all x in the interval (0, 1). a. Find the third-degree Taylor polynomial about x = 0 for f. b. Use your answer to part a to estimate the value of f(0.5)

Let f be a function that has derivatives of all orders on the Interval (-1, 1). Assume f(0) = 1, f ‘ (0) = ½, f ”(0) = -1/4, f ’’’(0) = 3/8 and for all x in the interval (0, 1). What is the maximum possible error for the approximation made in part b?

Estimate the error that results when arctan x is replaced by

Estimate the error that results when ln(x + 1) is replaced by F ‘’’ (x) has a maximum value at x = -0.1

Find an approximation of ln 1.1 that is accurate to three decimal places. We just determined that the error using the second degree expansion is 0.000457.

Use a Taylor Polynomial to estimate cos(0.2) to 3 decimal places If x = 0.2, Alternating Series Test works for convergence

Use a Taylor Polynomial to estimate with three decimal place accuracy. Satisfies Alternating Series Test

Suppose the function f is defined so that a. Write a second degree Taylor polynomial for f about x = 1 b. Use the result from (a) to approximate f(1.5)

Suppose the function f is defined so that for all x in [1, 1.5], find an upper bound for the approximation error in part b if

The first four derivatives of Find the third-degree Taylor approximation to f at x = 0 Use your answer in (a) to find an approximation of f(0.5) Estimate the error involved in the approximation in (b). Show your reasoning.

The first four derivatives of Find the third-degree Taylor approximation to f at x = 0 Use your answer in (a) to find an approximation of f(0.5)

The first four derivatives of Estimate the error involved in the approximation in (b). Show your reasoning.