Section 3.9 Linear Approximation and the Derivative.

Slides:



Advertisements
Similar presentations
Taylor Series Section 9.2b.
Advertisements

Section 2.6 Differentiability. Local Linearity Local linearity is the idea that if we look at any point on a smooth curve closely enough, it will look.
Copyright © Cengage Learning. All rights reserved. 14 Partial Derivatives.
4.5: Linear Approximations and Differentials
Section 2.2 Instantaneous Rates of Change
Chapter 3 Derivatives Section 1 Derivatives and Rates of Change 1.
Local Linearization (Tangent Line at a point). When the derivative of a function y=f(x) at a point x=a exists, it guarantees the existence of the tangent.
Tangent Planes and Linear Approximations
Chapter 14 – Partial Derivatives
MA Day 24- February 8, 2013 Section 11.3: Clairaut’s Theorem Section 11.4: Differentiability of f(x,y,z) Section 11.5: The Chain Rule.
Derivative Review Part 1 3.3,3.5,3.6,3.8,3.9. Find the derivative of the function p. 181 #1.
Section 2.9 Linear Approximations and Differentials Math 1231: Single-Variable Calculus.
9.7 Taylor Series. Brook Taylor Taylor Series Brook Taylor was an accomplished musician and painter. He did research in a variety of areas,
What is y=L(x) ? The tangent line is considered as an approximation of the curve y=f(x)
PARTIAL DERIVATIVES PARTIAL DERIVATIVES One of the most important ideas in single-variable calculus is:  As we zoom in toward a point on the graph.
Chapter 14 Section 14.3 Curves. x y z To get the equation of the line we need to know two things, a direction vector d and a point on the line P. To find.
Section 6.1: Euler’s Method. Local Linearity and Differential Equations Slope at (2,0): Tangent line at (2,0): Not a good approximation. Consider smaller.
AP CALCULUS AB Chapter 4: Applications of Derivatives Section 4.5:
Consider the following: Now, use the reciprocal function and tangent line to get an approximation. Lecture 31 – Approximating Functions
(MTH 250) Lecture 11 Calculus. Previous Lecture’s Summary Summary of differentiation rules: Recall Chain rules Implicit differentiation Derivatives of.
Section 14.7 Second-Order Partial Derivatives. Old Stuff Let y = f(x), then Now the first derivative (at a point) gives us the slope of the tangent, the.
MA Day 25- February 11, 2013 Review of last week’s material Section 11.5: The Chain Rule Section 11.6: The Directional Derivative.
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.
In this section, we will consider the derivative function rather than just at a point. We also begin looking at some of the basic derivative rules.
MAT 213 Brief Calculus Section 4.1 Approximating Change.
Linear approximation and differentials (Section 2.9)
For any function f (x), the tangent is a close approximation of the function for some small distance from the tangent point. We call the equation of the.
All the World’s a Polynomial Chris Harrow
Homework Homework Assignment #10 Read Section 3.2 Page 124, Exercises: 1 – 69 (EOO) Rogawski Calculus Copyright © 2008 W. H. Freeman and Company.
Linearization, Newton’s Method
Local Linear Approximation Objective: To estimate values using a local linear approximation.
MTH 251 – Differential Calculus Chapter 3 – Differentiation Section 3.11 Linearization and Differentials Copyright © 2010 by Ron Wallace, all rights reserved.
Warm Up Write an equation of the tangent line to the curve at the given point. 1)f(x)= x 3 – x + 1 where x = -1 2)g(x) = 3sin(x/2) where x = π/2 3)h(x)
Warm up Problems 1. If y – 5x 10 – ln(xy) = 2 sin x, find 2. Find the equation of the line tangent to x 3 + y 3 = 6xy at (3,3).
3.9 Differentials and the Linearization of a Graph Primary Learning Target: Understand the concept of the tangent line approximation to a curve and how.
Calculus Chapter 2 SECTION 2: THE DERIVATIVE AND THE TANGENT LINE PROBLEM 1.
Zooming In. Objectives  To define the slope of a function at a point by zooming in on that point.  To see examples where the slope is not defined. 
Section 14.3 Local Linearity and the Differential.
In this section, we will investigate how we can approximate any function with a polynomial.
Announcements Topics: -sections (differentiation rules), 5.6, and 5.7 * Read these sections and study solved examples in your textbook! Work On:
SECTION 8-L Linearization Linear Approximations Tangent line approximations.
Tangent Line Approximations Section 3.9 Notes. Given a function, f (x), we can find its tangent at x = a. The equation of the tangent line, which we’ll.
Linear Approximations. In this section we’re going to take a look at an application not of derivatives but of the tangent line to a function. Of course,
Chapter 3 Derivatives.
Linear approximation and differentials (Section 3.9)
Section 11.3A Introduction to Derivatives
Lecture 25 – Power Series Def: The power series centered at x = a:
Chapter 3 Derivatives Section 3.2 Differentiability.
The Derivative and the Tangent Line Problems
2-4: Tangent Line Review &
Question Find the derivative of Sol..
Calculus BC AP/Dual, Revised © : Lagrange's Error Bound
Chapter 3 Derivatives Section 3.2 Differentiability.
On a small neighborhood The function is approximately linear
8. Linearization and differentials
Sec 3.10: Linear approximation and Differentials
Section 2.6 Differentiability
11.1 – Polynomial Approximations of Functions
Differentials and Linear Approximation
4.5: Linear Approximations and Differentials
Chapter 3 Derivatives Section 3.2 Differentiability.
30 m 2000 m 30 m 2000 m. 30 m 2000 m 30 m 2000 m.
Linearization and Newton’s Method
Chapter 3 Derivatives Section 3.2 Differentiability.
2.9 Linear Approximation.
Homework, Page Let f (x) = 3x2. Show that f (2+h) =3h2 + 12h Then show that and compute f ′(2) by taking the limit as h → 0. Rogawski Calculus.
Linearization and Newton’s Method
Linear approximation and differentials (Section 3.9)
35 – Local Linearization No Calculator
Section 8.9: Applications of Taylor Polynomials
Presentation transcript:

Section 3.9 Linear Approximation and the Derivative

Recall that when we “zoomed in” on a differentiable graph, it became almost linear, no matter how much curve there was in the original graph Therefore a tangent line at x = a can be a good approximation for a function near a Let’s take a look at the function and its tangent line at x = 0

Between -.1 and.1 both graphs look almost identical Let’s find the tangent line at x = 0 and use it to find f(-.5), f(-.1), f(.1), f(.5), and f(1) We will then compare these to their actual function values

Estimating the error in linear approximations The error in using a tangent line approximation (near x = a) is given by This is explored further in Taylor polynomials in chapter 10 Let’s find the approximate errors for our estimations and see how they compare to the actual