z = z0 + fx(x0,y0)(x – x0) + fy(x0,y0)(y – y0)

Slides:



Advertisements
Similar presentations
U2 L8 Chain and Quotient Rule CHAIN & QUOTIENT RULE
Advertisements

The Chain Rule Section 3.6c.
Copyright © Cengage Learning. All rights reserved. 14 Partial Derivatives.
6.4 Implicit Differentiation JMerrill, Help Paul’s Online Math Notes Paul’s Online Math Notes Paul’s Online Math Notes Paul’s Online Math Notes.
3 Copyright © Cengage Learning. All rights reserved. Applications of Differentiation.
Chapter 3 Derivatives Section 1 Derivatives and Rates of Change 1.
ESSENTIAL CALCULUS CH11 Partial derivatives
Tangent Planes and Linear Approximations
Chapter 14 – Partial Derivatives
Section 2.9 Linear Approximations and Differentials Math 1231: Single-Variable Calculus.
Semester 1 Review Unit vector =. A line that contains the point P(x 0,y 0,z 0 ) and direction vector : parametric symmetric.
DERIVATIVES Linear Approximations and Differentials In this section, we will learn about: Linear approximations and differentials and their applications.
For each point (x,y,z) in R3, the cylindrical coordinates (r,,z) are defined by the polar coordinates r and  (for x and y) together with z. Example Find.
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.
Section Differentials. Local Linearity If a function is differentiable at a point, it is at least locally linear. Differentiable.
DO NOW Find the equation of the tangent line of y = 3sin2x at x = ∏
Lesson 3-11 Linear Approximations and Differentials.
Aim: Differentials Course: Calculus Do Now: Aim: Differential? Isn’t that part of a car’s drive transmission? Find the equation of the tangent line for.
Find the derivative of : Y = (2x-5)(4 – x) -1. Find the derivative of: S = csc 5 (1- t + 3t²)
13.4 Differentials “Mathematics possesses not only truth, but supreme beauty - a beauty cold and austere, like that of sculpture." -Bertrand Russell.
3.1 Definition of the Derivative & Graphing the Derivative
Calculus 4.1: Connecting f, f’, and f” A. Remember these relationships!! 1. fINCDEC local max local min f’ + – pos  neg neg  pos 2. fCON UP CON DOWN.
Differentials Intro The device on the first slide is called a micrometer….it is used for making precision measurements of the size of various objects…..a.
Linearization and Newton’s Method. I. Linearization A.) Def. – If f is differentiable at x = a, then the approximating function is the LINEARIZATION of.
Linear approximation and differentials (Section 2.9)
Unit 5C Day 2. Do Now  Let y = arccosu. Then u = ______.  Use this to derive dy / dx [arccosu].
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.
Powerpoint Jeopardy Definition of Derivatives Basic Derivatives Equation of Tangent Line Product & Quotient Rule Chain Rule
Chapter 4: Partial Derivatives I. Intro Say I have a surface whose height depends on x & y I might want to know how f(x,y) changes in the y-direction if.
3 Copyright © Cengage Learning. All rights reserved. Applications of Differentiation.
3.9 Differentials. Objectives Understand the concept of a tangent line approximation. Compare the value of a differential, dy, with the actual change.
Miss Battaglia AB/BC Calculus.  /tangent_line/ /tangent_line/ y.
Differentials A quick Review on Linear Approximations and Differentials of a function of one Variable.
MA Day 34- February 22, 2013 Review for test #2 Chapter 11: Differential Multivariable Calculus.
Solving First-Order Differential Equations A first-order Diff. Eq. In x and y is separable if it can be written so that all the y-terms are on one side.
3.6 The Chain Rule Y= f(g(x)) Y’=f’(g(x)) g’(x). Chain rule Unlocks many derivatives.
3.9 Differentials Let y = f(x) represent a function that is differentiable in an open interval containing x. The differential of x (denoted by dx) is any.
3 Copyright © Cengage Learning. All rights reserved. Applications of Differentiation.
Tangent Line Approximations A tangent line approximation is a process that involves using the tangent line to approximate a value. Newton used this method.
MTH 251 – Differential Calculus Chapter 3 – Differentiation Section 3.7 Implicit Differentiation Copyright © 2010 by Ron Wallace, all rights reserved.
Introduction to Integrals Unit 4 Day 1. Do Now  Write a function for which dy / dx = 2 x.  Can you think of more than one?
5-5 Day 2 Linearization and differentials
Multivariate Optimization Problems
Chapter 14 Partial Derivatives
Linear approximation and differentials (Section 3.9)
Section 3.7 Implicit Functions
Warm-Up- Test in the box…
Section 15.5 The Chain Rule.
Problem of the Day (Calculator Allowed)
Explicit/Implicit Explicit functions: y = 3x – 2 Implicit functions:
CHAPTER 5 PARTIAL DERIVATIVES
Implicit Differentiation
Section Euler’s Method
Implicit Differentiation
Copyright © Cengage Learning. All rights reserved.
8. Linearization and differentials
Implicit Differentiation
Copyright © Cengage Learning. All rights reserved.
13 Functions of Several Variables
2.1 The Derivative and the Tangent Line Problem
Copyright © Cengage Learning. All rights reserved.
Implicit Differentiation
Copyright © Cengage Learning. All rights reserved.
Differentials and Error
Section 3.5 – Related Rates
§3.10 Linear Approximations and Differentials
14.4 Chain Rules for functions of several variables
Linear approximation and differentials (Section 3.9)
2.5 The Chain Rule.
3.10 –Linear Approximation and Differentials
Presentation transcript:

z = z0 + fx(x0,y0)(x – x0) + fy(x0,y0)(y – y0) Tangent Planes The equation of a tangent plane to z = f (x,y) at the point (x0,y0,z0) is z = z0 + fx(x0,y0)(x – x0) + fy(x0,y0)(y – y0)

Ex. Find the equation of the tangent plane to z = 2x2 + y2 at (1,1,3).

This is called the linearization of f Ex. Use the tangent plane to f (x,y) = xexy at (1,0) to approximate the value of f (1.1,-0.1) This is called the linearization of f

Differentials and Error In one variable, if y = f (x), the equation dy = f (x)dx is called the differential In two variables, if z = f (x,y), the equation becomes dz = fxdx + fydy  This can be called the “total differential”, and we treat dx like Δx.

Ex. Let z = x2 + 3xy – y2. Find the total differential and compare the values of dz and Δz as x changes from 2 to 2.05 and y changes from 3 to 2.96.

Ex. Approximate (2.03)2(1 + 8.9)3 – 22(1 + 9)3

Ex. The base radius and height of a right circular cone are measured as 10cm and 25cm, respectively, with a possible error in measurement of as much as 0.1 each. Estimate the maximum error in the calculated volume of the cone.

Chain Rule In Calculus I, we learned the chain rule: Another way to write this would be to assume that y = f (x) and x = g(t): In multivariable, this second method is used.

Let w = f (x,y), with x = g(t) and y = h(t): Ex. Let w = x2y – y2, where x = sin t and y = et. Find .

Let w = f (x,y), with x = g(s,t) and y = h(s,t):

Ex. Let w = x2y2, with x = s2 + t2 and . Find and

Ex. Let y3 + y2 – 5y – x2 + 4 = 0, find

Thm. If F(x,y) = 0 defines y implicitly as a function of x, then Ex. Find y if x3 + y3 = 6xy.

Thm. If F(x,y,z) = 0 defines z implicitly as a function of x and y, then

Ex. Find and if x3 + y3 + z3 + 6xyz = 1.