MATH 19520/51 Class 8

Similar documents
Gradient and Directional Derivatives

MATH 19520/51 Class 6

Functions of Several Variables

Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives

Kevin James. MTHSC 206 Section 15.6 Directional Derivatives and the Gra

To graph the point (r, θ), simply go out r units along the initial ray, then rotate through the angle θ. The point (1, 5π 6

14.6 Directional Derivatives and the Gradient Vector

d f(g(t), h(t)) = x dt + f ( y dt = 0. Notice that we can rewrite the relationship on the left hand side of the equality using the dot product: ( f

f for Directional Derivatives and Gradient The gradient vector is calculated using partial derivatives of the function f(x,y).

Math 21a Tangent Lines and Planes Fall, What do we know about the gradient f? Tangent Lines to Curves in the Plane.

What you will learn today

To graph the point (r, θ), simply go out r units along the initial ray, then rotate through the angle θ. The point (1, 5π 6. ) is graphed below:

Jim Lambers MAT 169 Fall Semester Lecture 33 Notes

Quiz 6 Practice Problems

x 6 + λ 2 x 6 = for the curve y = 1 2 x3 gives f(1, 1 2 ) = λ actually has another solution besides λ = 1 2 = However, the equation λ

MATH 2400, Analytic Geometry and Calculus 3

MATH Harrell. Which way is up? Lecture 9. Copyright 2008 by Evans M. Harrell II.

3.6 Directional Derivatives and the Gradient Vector

GEOMETRY IN THREE DIMENSIONS

Lagrange multipliers October 2013

Directional Derivatives and the Gradient Vector Part 2

Lagrange multipliers 14.8

Background for Surface Integration

MATH 19520/51 Class 10

Outcomes List for Math Multivariable Calculus (9 th edition of text) Spring

14.5 Directional Derivatives and the Gradient Vector

3. The three points (2, 4, 1), (1, 2, 2) and (5, 2, 2) determine a plane. Which of the following points is in that plane?

Directional Derivatives and the Gradient Vector Part 2

Ch. 7.4, 7.6, 7.7: Complex Numbers, Polar Coordinates, ParametricFall equations / 17

Math (Spring 2009): Lecture 5 Planes. Parametric equations of curves and lines

12.7 Tangent Planes and Normal Lines

Vectors and the Geometry of Space

MATH 2400: CALCULUS 3 MAY 9, 2007 FINAL EXAM

Math 142 Fall 2000 Rotation of Axes. In section 11.4, we found that every equation of the form. (1) Ax 2 + Cy 2 + Dx + Ey + F =0,

302 CHAPTER 3. FUNCTIONS OF SEVERAL VARIABLES. 4. Function of several variables, their domain. 6. Limit of a function of several variables

Directional Derivatives as Vectors

we wish to minimize this function; to make life easier, we may minimize

MATH 200 (Fall 2016) Exam 1 Solutions (a) (10 points) Find an equation of the sphere with center ( 2, 1, 4).

Math 206 First Midterm October 5, 2012

Surfaces and Partial Derivatives

Math 136 Exam 1 Practice Problems

MATH 19520/51 Class 15

Workbook. MAT 397: Calculus III

Math 213 Exam 2. Each question is followed by a space to write your answer. Please write your answer neatly in the space provided.

Hw 4 Due Feb 22. D(fg) x y z (

HOMEWORK ASSIGNMENT #4, MATH 253

Math 113 Calculus III Final Exam Practice Problems Spring 2003

Let and be a differentiable function. Let Then be the level surface given by

Engineering Mathematics (4)

MAT203 OVERVIEW OF CONTENTS AND SAMPLE PROBLEMS

REVIEW I MATH 254 Calculus IV. Exam I (Friday, April 29) will cover sections

MATH 116 REVIEW PROBLEMS for the FINAL EXAM

Date: 16 July 2016, Saturday Time: 14:00-16:00 STUDENT NO:... Math 102 Calculus II Midterm Exam II Solutions TOTAL. Please Read Carefully:

Tangent Planes and Linear Approximations

Topic 2.3: Tangent Planes, Differentiability, and Linear Approximations. Textbook: Section 14.4

Topic 1.6: Lines and Planes

Surfaces and Partial Derivatives

MATH 2023 Multivariable Calculus

TEST 3 REVIEW DAVID BEN MCREYNOLDS

MATH. 2153, Spring 16, MWF 12:40 p.m. QUIZ 1 January 25, 2016 PRINT NAME A. Derdzinski Show all work. No calculators. The problem is worth 10 points.

by Kevin M. Chevalier

Lecture 6: Chain rule, Mean Value Theorem, Tangent Plane

UNIVERSIDAD CARLOS III DE MADRID MATHEMATICS II EXERCISES (SOLUTIONS ) CHAPTER 3: Partial derivatives and differentiation

MATH 261 EXAM I PRACTICE PROBLEMS

The directional derivative of f x, y in the direction of at x, y u. f x sa y sb f x y (, ) (, ) 0 0 y 0 0

= w. w u. u ; u + w. x x. z z. y y. v + w. . Remark. The formula stated above is very important in the theory of. surface integral.

Answers to practice questions for Midterm 1

Constrained Optimization and Lagrange Multipliers

Partial Derivatives. Partial Derivatives. Partial Derivatives. Partial Derivatives. Partial Derivatives. Partial Derivatives

Pre-Calculus Guided Notes: Chapter 10 Conics. A circle is

Conics, Parametric Equations, and Polar Coordinates. Copyright Cengage Learning. All rights reserved.

Review for Applications of Definite Integrals Sections

while its direction is given by the right hand rule: point fingers of the right hand in a 1 a 2 a 3 b 1 b 2 b 3 A B = det i j k

Dr. Allen Back. Nov. 21, 2014

Total. Math 2130 Practice Final (Spring 2017) (1) (2) (3) (4) (5) (6) (7) (8)

Math 11 Fall 2016 Section 1 Monday, October 17, 2016

Conics, Parametric Equations, and Polar Coordinates. Copyright Cengage Learning. All rights reserved.

Midterm Review II Math , Fall 2018

Geometric transformations assign a point to a point, so it is a point valued function of points. Geometric transformation may destroy the equation

Math Exam III Review

1.5 Equations of Lines and Planes in 3-D

Unit 12 Topics in Analytic Geometry - Classwork

14.4: Tangent Planes and Linear Approximations

Introduction to Transformations. In Geometry

Differentiability and Tangent Planes October 2013

Let s write this out as an explicit equation. Suppose that the point P 0 = (x 0, y 0, z 0 ), P = (x, y, z) and n = (A, B, C).

1. Suppose that the equation F (x, y, z) = 0 implicitly defines each of the three variables x, y, and z as functions of the other two:

Coordinate Transformations in Advanced Calculus

Lines and Planes in 3D

Solution 2. ((3)(1) (2)(1), (4 3), (4)(2) (3)(3)) = (1, 1, 1) D u (f) = (6x + 2yz, 2y + 2xz, 2xy) (0,1,1) = = 4 14

Multivariable Calculus

A1:Orthogonal Coordinate Systems

Analytic Spherical Geometry:

27. Tangent Planes & Approximations

INTRODUCTION TO LINE INTEGRALS

Differential Geometry: Circle Patterns (Part 1) [Discrete Conformal Mappinngs via Circle Patterns. Kharevych, Springborn and Schröder]

Parametric Surfaces and Surface Area

The Three Dimensional Coordinate System

1.5 Equations of Lines and Planes in 3-D

LINEAR ALGEBRA AND VECTOR ANALYSIS MATH 22A

Transcription:

MATH 19520/51 Class 8 Minh-Tam Trinh University of Chicago 2017-10-11

1 Directional derivatives. 2 Gradient vectors. 3 Review level sets. 4 Tangent planes to level surfaces of functions of three variables.

Directional Derivatives A displacement vector v can always be rewritten ( ) v (1) v = v. v The scalar v tells us its length and the unit vector v/ v tells us its direction.

Directional Derivatives A displacement vector v can always be rewritten ( ) v (1) v = v. v The scalar v tells us its length and the unit vector v/ v tells us its direction. Examples of unit vectors in R 2 : (2) (1, 0), ( 3 5, 4 5 ), (0, 1), ( 1, 0), ( 1 2, 1 2 ).

If f is a function of x and y, then f x, resp. f y, is the change in f per unit length in the direction of (1, 0), resp. (0, 1).

If f is a function of x and y, then f x, resp. f y, is the change in f per unit length in the direction of (1, 0), resp. (0, 1). But what s the change per unit length in the direction of ( 3 5, 4 5 )?

If f is a function of x and y, then f x, resp. f y, is the change in f per unit length in the direction of (1, 0), resp. (0, 1). But what s the change per unit length in the direction of ( 3 5, 4 5 )? By proportionality, we want (3) 3/5ths of the change per unit length in the (1, 0)-direction + 4/5ths of the change per unit length in the (0, 1)-direction. That is, f x (3/5) + f y (4/5).

If u = (u 1, u 2 ) R 2 is a unit vector, then the derivative of f (x, y) in the direction of u is (4) D u f = f x u 1 + f y u 2. Formally, (5) D u f (x, y) = lim ɛ 0 f (x + u 1 ɛ, y + u 2 ɛ) f (x, y) ɛ assuming the limit exists.

Example (Stewart, 14.6, Example 2) Let f (x, y) = x 3 3xy + 4y 2, and let u R 2 be the unit vector at an angle of π/6 counterclockwise from (1, 0). Find u and D u f (1, 2).

Example (Stewart, 14.6, Example 2) Let f (x, y) = x 3 3xy + 4y 2, and let u R 2 be the unit vector at an angle of π/6 counterclockwise from (1, 0). Find u and D u f (1, 2). If u = (a, b), then a = cos(π/6) = 3/2 and b = sin(π/6) = 1/2.

Example (Stewart, 14.6, Example 2) Let f (x, y) = x 3 3xy + 4y 2, and let u R 2 be the unit vector at an angle of π/6 counterclockwise from (1, 0). Find u and D u f (1, 2). If u = (a, b), then a = cos(π/6) = 3/2 and b = sin(π/6) = 1/2. Since f x = 3x 2 3y and f y = 3x + 8y, we compute f x (1, 2) = 3 and f y (1, 2) = 13. Then (6) D u f (1, 2) = 3 3 2 + 13 1 2 = 13 2 3 2 3 3.9.

https://academo.org/demos/3d-surface-plotter/ The graph of z = x 3 3xy + 4y 2.

In general, if f is a function of n variables x 1,..., x n, then the derivative of f in the direction of u = (u 1,..., u n ) is (7) D u f = n i=1 f x i u i. Do you see how to write this sum as a dot product?

Gradient Vectors If f is a function of x 1,..., x n, then the gradient of f is ( f f =,..., f ) (8). x 1 x n (Pronounced grad f or del f or nabla f. ) This is a vector function, i.e., a function whose output is a vector not a number.

Gradient Vectors If f is a function of x 1,..., x n, then the gradient of f is ( f f =,..., f ) (8). x 1 x n (Pronounced grad f or del f or nabla f. ) This is a vector function, i.e., a function whose output is a vector not a number. We have (9) D u f = f u for any unit vector u.

Theorem The gradient f points in the direction of the unit vector u that maximizes the directional derivative D u f.

Theorem The gradient f points in the direction of the unit vector u that maximizes the directional derivative D u f. Proof. By the angle formula for dot product, (10) D u f = f u cos θ = f cos θ, where θ is the angle between f and u. The right-hand side is maximized when θ = 0.

Example Let f (x, y) = xe y. Find the maximum directional derivative of f at (2, 0), and (the unit vector in) the direction where it occurs.

Example Let f (x, y) = xe y. Find the maximum directional derivative of f at (2, 0), and (the unit vector in) the direction where it occurs. We compute f (x, y) = (e y, xe y ), from which f (2, 0) = (1, 2). This has the same direction as the unit vector (1,2) (1,2) = ( 1, 5 2 ). 5

Example Let f (x, y) = xe y. Find the maximum directional derivative of f at (2, 0), and (the unit vector in) the direction where it occurs. We compute f (x, y) = (e y, xe y ), from which f (2, 0) = (1, 2). This has the same direction as the unit vector (1,2) (1,2) = ( 1, 5 2 ). 5 This is the direction of the maximum directional derivative, so we compute (11) D (1/ 5, 2/ 5) f = (1, 2) ( 1 5, 2 5 ) = 5.

Geometry of the Gradient Moving along the gradient gives maximum rate of change. Moving along/within a level set gives zero rate of change.

Geometry of the Gradient Moving along the gradient gives maximum rate of change. Moving along/within a level set gives zero rate of change. Within the domain of f, gradients are locally orthogonal to level sets. http://math.etsu.edu/multicalc/prealpha/chap5/chap5-1/part2.htm

Review of Level Sets Remember... 1 A function of two variables x, y has level curves in the (x, y)-plane. 2 A function of three variables x, y, z has level surfaces in (x, y, z)-space.

Try to imagine/draw the function f (x, y) = x 3 + y 2.

Try to imagine/draw the function f (x, y) = x 3 + y 2. Some of its level curves in the (x, y)-plane: https://www.desmos.com/calculator

Now imagine the function F (x, y, z) = xy z 2.

Now imagine the function F (x, y, z) = xy z 2. Here are the upper halves of some of its level surfaces in (x, y, z)-space: https://academo.org/demos/3d-surface-plotter/

Tangent Planes to Level Surfaces of 3-Variable Functions Earlier, we learned how to find tangent planes to graphs in (x, y, z)-space of functions in two variables x and y. Now, we will learn how to find tangent planes to level surfaces in (x, y, z)-space of functions in three variables x, y, z. Warning! Do not confuse these procedures!

Let S = {(x, y, z) R 3 : F (x, y, z) = α} be a level surface, and let (a, b, c) be a point on this surface, i.e., g(a, b, c) = α.

Let S = {(x, y, z) R 3 : F (x, y, z) = α} be a level surface, and let (a, b, c) be a point on this surface, i.e., g(a, b, c) = α. The coordinate equation of the tangent plane to S at (a, b, c) is: (12) F x (a, b, c)(x a) + F y (a, b, c)(y b) + F z (a, b, c)(z c) = 0.

Let S = {(x, y, z) R 3 : F (x, y, z) = α} be a level surface, and let (a, b, c) be a point on this surface, i.e., g(a, b, c) = α. The coordinate equation of the tangent plane to S at (a, b, c) is: (12) F x (a, b, c)(x a) + F y (a, b, c)(y b) + F z (a, b, c)(z c) = 0. Taking u = (x, y, z), the corresponding vector equation is (13) F (a, b, c) ( u (a, b, c)) = 0.

Example (Stewart, 14.6, Example 8) Find a coordinate equation for the tangent plane to the ellipsoid x 2 4 + y2 + z2 9 = 3 at ( 2, 1, 3).

Example (Stewart, 14.6, Example 8) Find a coordinate equation for the tangent plane to the ellipsoid x 2 4 + y2 + z2 9 = 3 at ( 2, 1, 3). Set F (x, y, z) = x2 4 + y2 + z2 9. Then (14) F (x, y, z) = ( ) x 2z, 2y,, 2 9 so F ( 2, 1, 3) = ( 1, 2, 2 3 ). We get the coordinate equation (15) 1(x + 2) + 2(y 1) 2 (z + 3) = 0. 3 It simplifies to x + 2y 2 3 z = 6.

https://academo.org/demos/3d-surface-plotter/ The lower half of the ellipsoid x2 4 + y2 + z2 9 = 3.