Engineering Mathematics (4)

Size: px
Start display at page:

Download "Engineering Mathematics (4)"

Transcription

1 Engineering Mathematics (4) Zhang, Xinyu Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea

2 Example With respect to parameter: s (arc length) r( t) acos t, asin t, ct r * s s s ( s) acos, asin, c a c a c a c

3 Example With respect to parameter: s (arc length) r( t) acos t, asin t, ct t 0 0 t r s dt a c dt t a c t a s c

4 Example With respect to parameter: s (arc length) s t a 2 c 2 r( t) acos t, asin t, ct r * s s s ( s) acos, asin, c a c a c a c

5 Gradient Directional Derivative

6 Gradient Definition f ( x, y, z) grad f f f f i j k x y z grad f f f f i j k x y z 6

7 Gradient Definition: the gradient of a given scalar function f (x,y,z) is the vector function defined by grad f f f f i j k x y z f (x,y,z) is differentiable 7

8 nabla or del Operator i j k x y z f f f f grad f i j k x y z 8

9 Example f ( x, y, z) 2x yz 3y 2 f 2, f z 6 y, f y x y z grad f 2i z 6y j yk f 2i z 6y j yk 9

10 Directional Derivative Definition f ( x, y, z) df ds lim f Q f P s 0 s DPQ f 10

11 Directional Derivative Direction: straight line r ( s) x( s) i y( s) j z( s) k p sb 0 Function f ( x, y, z) = f x( s), y( s), z( s) 11

12 Directional Derivative f ( x, y, z)= f x( s), y( s), z( s) Chain Rule df f dx f dy f dz ds x ds y ds z ds 12

13 Directional Derivative f dx f dy f dz x ds y ds z ds f f f i j k x y z dx dy dz i j k ds ds ds f f b r r( s) x( s) i y( s) j z( s) k p sb b 0 13

14 Directional Derivative D f f b b b f b is a unit vector 14

15 Directional Derivative If b is not a unit vector b D f b b f If the given vector is a a D f a a f 15

16 Example Find the directional derivative of f ( x, y, z) 2x 3y z at the point P: (2,1,3) in the direction of the vector a i 2k 16

17 Solution b D f b b f 17

18 Solution The gradient f ( x, y, z) 2x 3y z f 4xi 6y j 2z k at the point P: (2,1,3) f (2,1,3) 8i 6 j 6k i 2k Df(2,1,3) 8i 6 j 6k a

19 Direction Directional Derivative Point P 19

20 Surface Normal Vector A surface in space f ( x, y, z) C A curve on the surface r x( t) i y( t) j z( t) k f x( t), y( t), z( t) C 20

21 Surface Normal Vector At a point P, tangent vector r x( t) i y( t) j z( t) k Differentiating f dx f dy f dz f x( t), y( t), z( t) x dt y dt z dt f f f x y z x y z 21

22 Surface Normal Vector f f f x y z x y z f r 0 f ( x, y, z) C0 22

23 Surface Normal Vector Let f be a differentiable scalar function that represents a surface S: f(x,y,z)=c. Then if the gradient of f at a point P is not the zero vector, it is a normal vector of S at P f 23

24 Example Find the unit normal vector of z 2 4 x 2 y 2 at the point P: (1,0,2) 24

25 Solution The given surface is Let f ( x, y, z) 4 x y z x y z 0 25

26 Solution Then the normal vector is f 8xi 8y j 2z k at the point P: (1,0,2) f 8i 4k The unit normal vector is f 2 1 n i k f

27 Assignment Find the directional derivative of f ( x, y, z) x 3y 4z at the point P: (1,0,1) in the direction of the vector a i j k 27

28 Assignment Find the directional derivative of f ( x, y, z) e x cos y at the point P: (2,, 0) in the direction of the vector a 2i 3j 28

29 Assignment Find the unit normal vector for the surface z x 2 y 2 at the point P: (6,8,10) 29

30 Divergence and Curl of a Vector Field

What you will learn today

What you will learn today What you will learn today Tangent Planes and Linear Approximation and the Gradient Vector Vector Functions 1/21 Recall in one-variable calculus, as we zoom in toward a point on a curve, the graph becomes

More information

University of California, Berkeley

University of California, Berkeley University of California, Berkeley FINAL EXAMINATION, Fall 2012 DURATION: 3 hours Department of Mathematics MATH 53 Multivariable Calculus Examiner: Sean Fitzpatrick Total: 100 points Family Name: Given

More information

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

REVIEW I MATH 254 Calculus IV. Exam I (Friday, April 29) will cover sections REVIEW I MATH 254 Calculus IV Exam I (Friday, April 29 will cover sections 14.1-8. 1. Functions of multivariables The definition of multivariable functions is similar to that of functions of one variable.

More information

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

302 CHAPTER 3. FUNCTIONS OF SEVERAL VARIABLES. 4. Function of several variables, their domain. 6. Limit of a function of several variables 302 CHAPTER 3. FUNCTIONS OF SEVERAL VARIABLES 3.8 Chapter Review 3.8.1 Concepts to Know You should have an understanding of, and be able to explain the concepts listed below. 1. Boundary and interior points

More information

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:

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: Final Solutions. Suppose that the equation F (x, y, z) implicitly defines each of the three variables x, y, and z as functions of the other two: z f(x, y), y g(x, z), x h(y, z). If F is differentiable

More information

1 Vector Functions and Space Curves

1 Vector Functions and Space Curves ontents 1 Vector Functions and pace urves 2 1.1 Limits, Derivatives, and Integrals of Vector Functions...................... 2 1.2 Arc Length and urvature..................................... 2 1.3 Motion

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Calculus III-Final review Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the corresponding position vector. 1) Define the points P = (-,

More information

Directional Derivatives and the Gradient Vector Part 2

Directional Derivatives and the Gradient Vector Part 2 Directional Derivatives and the Gradient Vector Part 2 Lecture 25 February 28, 2007 Recall Fact Recall Fact If f is a dierentiable function of x and y, then f has a directional derivative in the direction

More information

Chapter 15 Vector Calculus

Chapter 15 Vector Calculus Chapter 15 Vector Calculus 151 Vector Fields 152 Line Integrals 153 Fundamental Theorem and Independence of Path 153 Conservative Fields and Potential Functions 154 Green s Theorem 155 urface Integrals

More information

Curves, Tangent Planes, and Differentials ( ) Feb. 26, 2012 (Sun) Lecture 9. Partial Derivatives: Signs on Level Curves, Tangent

Curves, Tangent Planes, and Differentials ( ) Feb. 26, 2012 (Sun) Lecture 9. Partial Derivatives: Signs on Level Curves, Tangent Lecture 9. Partial Derivatives: Signs on Level Curves, Tangent Planes, and Differentials ( 11.3-11.4) Feb. 26, 2012 (Sun) Signs of Partial Derivatives on Level Curves Level curves are shown for a function

More information

Gradient and Directional Derivatives

Gradient and Directional Derivatives Gradient and Directional Derivatives MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Fall 2011 Background Given z = f (x, y) we understand that f : gives the rate of change of z in

More information

Directional Derivatives and the Gradient Vector Part 2

Directional Derivatives and the Gradient Vector Part 2 Directional Derivatives and the Gradient Vector Part 2 Marius Ionescu October 26, 2012 Marius Ionescu () Directional Derivatives and the Gradient Vector Part October 2 26, 2012 1 / 12 Recall Fact Marius

More information

Tangent Planes/Critical Points

Tangent Planes/Critical Points Tangent Planes/Critical Points Christopher Croke University of Pennsylvania Math 115 UPenn, Fall 2011 Problem: Find the tangent line to the curve of intersection of the surfaces xyz = 1 and x 2 + 2y 2

More information

First of all, we need to know what it means for a parameterize curve to be differentiable. FACT:

First of all, we need to know what it means for a parameterize curve to be differentiable. FACT: CALCULUS WITH PARAMETERIZED CURVES In calculus I we learned how to differentiate and integrate functions. In the chapter covering the applications of the integral, we learned how to find the length of

More information

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

Lecture 6: Chain rule, Mean Value Theorem, Tangent Plane Lecture 6: Chain rule, Mean Value Theorem, Tangent Plane Rafikul Alam Department of Mathematics IIT Guwahati Chain rule Theorem-A: Let x : R R n be differentiable at t 0 and f : R n R be differentiable

More information

Equation of tangent plane: for implicitly defined surfaces section 12.9

Equation of tangent plane: for implicitly defined surfaces section 12.9 Equation of tangent plane: for implicitly defined surfaces section 12.9 Some surfaces are defined implicitly, such as the sphere x 2 + y 2 + z 2 = 1. In general an implicitly defined surface has the equation

More information

Calculus III Meets the Final

Calculus III Meets the Final Calculus III Meets the Final Peter A. Perry University of Kentucky December 7, 2018 Homework Review for Final Exam on Thursday, December 13, 6:00-8:00 PM Be sure you know which room to go to for the final!

More information

This exam will be cumulative. Consult the review sheets for the midterms for reviews of Chapters

This exam will be cumulative. Consult the review sheets for the midterms for reviews of Chapters Final exam review Math 265 Fall 2007 This exam will be cumulative. onsult the review sheets for the midterms for reviews of hapters 12 15. 16.1. Vector Fields. A vector field on R 2 is a function F from

More information

Surfaces and Integral Curves

Surfaces and Integral Curves MODULE 1: MATHEMATICAL PRELIMINARIES 16 Lecture 3 Surfaces and Integral Curves In Lecture 3, we recall some geometrical concepts that are essential for understanding the nature of solutions of partial

More information

MATH 2400, Analytic Geometry and Calculus 3

MATH 2400, Analytic Geometry and Calculus 3 MATH 2400, Analytic Geometry and Calculus 3 List of important Definitions and Theorems 1 Foundations Definition 1. By a function f one understands a mathematical object consisting of (i) a set X, called

More information

Chapter 5 Partial Differentiation

Chapter 5 Partial Differentiation Chapter 5 Partial Differentiation For functions of one variable, y = f (x), the rate of change of the dependent variable can dy be found unambiguously by differentiation: f x. In this chapter we explore

More information

The Straight Line. m is undefined. Use. Show that mab

The Straight Line. m is undefined. Use. Show that mab The Straight Line What is the gradient of a horizontal line? What is the equation of a horizontal line? So the equation of the x-axis is? What is the gradient of a vertical line? What is the equation of

More information

14.1 Vector Fields. Gradient of 3d surface: Divergence of a vector field:

14.1 Vector Fields. Gradient of 3d surface: Divergence of a vector field: 14.1 Vector Fields Gradient of 3d surface: Divergence of a vector field: 1 14.1 (continued) url of a vector field: Ex 1: Fill in the table. Let f (x, y, z) be a scalar field (i.e. it returns a scalar)

More information

PURE MATHEMATICS 212 Multivariable Calculus CONTENTS. Page. 1. Assignment Summary... i 2. Summary Assignments...2

PURE MATHEMATICS 212 Multivariable Calculus CONTENTS. Page. 1. Assignment Summary... i 2. Summary Assignments...2 PURE MATHEMATICS 212 Multivariable Calculus CONTENTS Page 1. Assignment Summary... i 2. Summary...1 3. Assignments...2 i PMTH212, Multivariable Calculus Assignment Summary 2010 Assignment Date to be Posted

More information

The Divergence Theorem

The Divergence Theorem The Divergence Theorem MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Summer 2011 Green s Theorem Revisited Green s Theorem: M(x, y) dx + N(x, y) dy = C R ( N x M ) da y y x Green

More information

Multivariate Calculus Review Problems for Examination Two

Multivariate Calculus Review Problems for Examination Two Multivariate Calculus Review Problems for Examination Two Note: Exam Two is on Thursday, February 28, class time. The coverage is multivariate differential calculus and double integration: sections 13.3,

More information

Topic 5.1: Line Elements and Scalar Line Integrals. Textbook: Section 16.2

Topic 5.1: Line Elements and Scalar Line Integrals. Textbook: Section 16.2 Topic 5.1: Line Elements and Scalar Line Integrals Textbook: Section 16.2 Warm-Up: Derivatives of Vector Functions Suppose r(t) = x(t) î + y(t) ĵ + z(t) ˆk parameterizes a curve C. The vector: is: r (t)

More information

Name: Class: Date: 1. Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given constraint.

Name: Class: Date: 1. Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given constraint. . Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given constraint. f (x, y) = x y, x + y = 8. Set up the triple integral of an arbitrary continuous function

More information

Computer Graphics Splines and Curves

Computer Graphics Splines and Curves Computer Graphics 2015 9. Splines and Curves Hongxin Zhang State Key Lab of CAD&CG, Zhejiang University 2015-11-23 About homework 3 - an alternative solution with WebGL - links: - WebGL lessons http://learningwebgl.com/blog/?page_id=1217

More information

Math 209, Fall 2009 Homework 3

Math 209, Fall 2009 Homework 3 Math 209, Fall 2009 Homework 3 () Find equations of the tangent plane and the normal line to the given surface at the specified point: x 2 + 2y 2 3z 2 = 3, P (2,, ). Solution Using implicit differentiation

More information

The Differential df, the Gradient f, & the Directional Derivative Dû f sec 14.4 (cont), Goals. Warm-up: Differentiability. Notes. Notes.

The Differential df, the Gradient f, & the Directional Derivative Dû f sec 14.4 (cont), Goals. Warm-up: Differentiability. Notes. Notes. The Differential df, the Gradient f, & the Directional Derivative Dû f sec 14.4 (cont), 14.5 10 March 2014 Goals. We will: Define the differential df and use it to approximate changes in a function s value.

More information

Math 113 Calculus III Final Exam Practice Problems Spring 2003

Math 113 Calculus III Final Exam Practice Problems Spring 2003 Math 113 Calculus III Final Exam Practice Problems Spring 23 1. Let g(x, y, z) = 2x 2 + y 2 + 4z 2. (a) Describe the shapes of the level surfaces of g. (b) In three different graphs, sketch the three cross

More information

Background for Surface Integration

Background for Surface Integration Background for urface Integration 1 urface Integrals We have seen in previous work how to define and compute line integrals in R 2. You should remember the basic surface integrals that we will need to

More information

Multivariate Calculus: Review Problems for Examination Two

Multivariate Calculus: Review Problems for Examination Two Multivariate Calculus: Review Problems for Examination Two Note: Exam Two is on Tuesday, August 16. The coverage is multivariate differential calculus and double integration. You should review the double

More information

1 Mathematical Concepts

1 Mathematical Concepts 1 Mathematical Concepts Mathematics is the language of geophysical fluid dynamics. Thus, in order to interpret and communicate the motions of the atmosphere and oceans. While a thorough discussion of the

More information

You will need to use a calculator for this worksheet A (1, 1)

You will need to use a calculator for this worksheet A (1, 1) C Worksheet A y You will need to use a calculator for this worksheet y = B A (, ) O The diagram shows the curve y = which passes through the point A (, ) and the point B. a Copy and complete the table

More information

Math Exam III Review

Math Exam III Review Math 213 - Exam III Review Peter A. Perry University of Kentucky April 10, 2019 Homework Exam III is tonight at 5 PM Exam III will cover 15.1 15.3, 15.6 15.9, 16.1 16.2, and identifying conservative vector

More information

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

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 Review: 0, lim D f u 0 0 0 0 u The directional derivative of f, in the direction of at, is denoted b D f, : u a, b must a unit vector u f sa sb f s 0 (, ) (, ) s f (, ) a f (, ) b 0 0 0 0 0 0 D f, f u

More information

PURE MATHEMATICS 212 Multivariable Calculus CONTENTS. Page. 1. Assignment Summary... i 2. Introduction Timetable Assignments...

PURE MATHEMATICS 212 Multivariable Calculus CONTENTS. Page. 1. Assignment Summary... i 2. Introduction Timetable Assignments... PURE MATHEMATICS 212 Multivariable Calculus CONTENTS Page 1. Assignment Summary... i 2. Introduction...1 3. Timetable... 3 4. Assignments...5 i PMTH212, Multivariable Calculus Assignment Summary 2009

More information

3.6 Directional Derivatives and the Gradient Vector

3.6 Directional Derivatives and the Gradient Vector 288 CHAPTER 3. FUNCTIONS OF SEVERAL VARIABLES 3.6 Directional Derivatives and te Gradient Vector 3.6.1 Functions of two Variables Directional Derivatives Let us first quickly review, one more time, te

More information

Grad operator, triple and line integrals. Notice: this material must not be used as a substitute for attending the lectures

Grad operator, triple and line integrals. Notice: this material must not be used as a substitute for attending the lectures Grad operator, triple and line integrals Notice: this material must not be used as a substitute for attending the lectures 1 .1 The grad operator Let f(x 1, x,..., x n ) be a function of the n variables

More information

4. LINE AND PATH INTEGRALS

4. LINE AND PATH INTEGRALS Universidad arlos III de Madrid alculus II 4. LINE AN PATH INTEGRALS Marina elgado Téllez de epeda Parametrizations of important curves: ircumference: (x a) 2 + (y b) 2 = r 2 1 (t) = (a + cos t,b + sin

More information

MA 243 Calculus III Fall Assignment 1. Reading assignments are found in James Stewart s Calculus (Early Transcendentals)

MA 243 Calculus III Fall Assignment 1. Reading assignments are found in James Stewart s Calculus (Early Transcendentals) MA 43 Calculus III Fall 8 Dr. E. Jacobs Assignments Reading assignments are found in James Stewart s Calculus (Early Transcendentals) Assignment. Spheres and Other Surfaces Read. -. and.6 Section./Problems

More information

(i) h(7,8,24) (ii) h(6,5,6) (iii) h( 7,8,9) (iv) h(10,9, 16) (iv) g 3,32 8

(i) h(7,8,24) (ii) h(6,5,6) (iii) h( 7,8,9) (iv) h(10,9, 16) (iv) g 3,32 8 M252 Practice Eam for 12.1-12.9 1. Find and simplify the function values. f ( y, ) = 5 10y (i) f(0,0) (ii) f(0,1) (iii) f(3,9) (iv) f(1,y) (v) f(,0) (vi) f(t,1) 2. Find and simplify the function values.

More information

University of Saskatchewan Department of Mathematics & Statistics MATH Final Instructors: (01) P. J. Browne (03) B. Friberg (05) H.

University of Saskatchewan Department of Mathematics & Statistics MATH Final Instructors: (01) P. J. Browne (03) B. Friberg (05) H. University of Saskatchewan Department of Mathematics & Statistics MATH. Final Instructors: (0) P. J. Browne (0) B. Friberg (0) H. Teismann December 9, 000 Time: :00-:00 pm This is an open book exam. Students

More information

MATH 19520/51 Class 8

MATH 19520/51 Class 8 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.

More information

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

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 Vector and Multivariable Calculus L Marizza A Bailey Practice Trimester Final Exam Name: Problem 1. To prepare for true/false and multiple choice: Compute the following (a) (4, 3) ( 3, 2) Solution 1. (4)(

More information

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

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 I.f Tangent Planes and Normal Lines Again we begin by: Recall: (1) Given two vectors A = a 1 i + a 2 j + a 3 k, B = b 1 i + b 2 j + b 3 k then A B is a vector perpendicular to both A and B. Then length

More information

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.

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. 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. 1. Evaluate the area A of the triangle with the vertices

More information

SPM Add Math Form 5 Chapter 3 Integration

SPM Add Math Form 5 Chapter 3 Integration SPM Add Math Form Chapter Integration INDEFINITE INTEGRAL CHAPTER : INTEGRATION Integration as the reverse process of differentiation ) y if dy = x. Given that d Integral of ax n x + c = x, where c is

More information

Kevin James. MTHSC 206 Section 14.5 The Chain Rule

Kevin James. MTHSC 206 Section 14.5 The Chain Rule MTHSC 206 Section 14.5 The Chain Rule Theorem (Chain Rule - Case 1) Suppose that z = f (x, y) is a differentiable function and that x(t) and y(t) are both differentiable functions as well. Then, dz dt

More information

13.1. Functions of Several Variables. Introduction to Functions of Several Variables. Functions of Several Variables. Objectives. Example 1 Solution

13.1. Functions of Several Variables. Introduction to Functions of Several Variables. Functions of Several Variables. Objectives. Example 1 Solution 13 Functions of Several Variables 13.1 Introduction to Functions of Several Variables Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. Objectives Understand

More information

the straight line in the xy plane from the point (0, 4) to the point (2,0)

the straight line in the xy plane from the point (0, 4) to the point (2,0) Math 238 Review Problems for Final Exam For problems #1 to #6, we define the following paths vector fields: b(t) = the straight line in the xy plane from the point (0, 4) to the point (2,0) c(t) = the

More information

Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers

Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers In this section we present Lagrange s method for maximizing or minimizing a general function f(x, y, z) subject to a constraint (or side condition) of the form g(x, y, z) = k. Figure 1 shows this curve

More information

= 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.

= 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. 1 Chain rules 2 Directional derivative 3 Gradient Vector Field 4 Most Rapid Increase 5 Implicit Function Theorem, Implicit Differentiation 6 Lagrange Multiplier 7 Second Derivative Test Theorem Suppose

More information

Surfaces and Partial Derivatives

Surfaces and Partial Derivatives Surfaces and Partial Derivatives James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 9, 2016 Outline Partial Derivatives Tangent Planes

More information

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

Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives Recall that if z = f(x, y), then the partial derivatives f x and f y are defined as and represent the rates of change of z in the x- and y-directions, that is, in the directions of the unit vectors i and

More information

MATH 19520/51 Class 6

MATH 19520/51 Class 6 MATH 19520/51 Class 6 Minh-Tam Trinh University of Chicago 2017-10-06 1 Review partial derivatives. 2 Review equations of planes. 3 Review tangent lines in single-variable calculus. 4 Tangent planes to

More information

= x i + y j + z k. div F = F = P x + Q. y + R

= x i + y j + z k. div F = F = P x + Q. y + R Abstract The following 25 problems, though challenging at times, in my opinion are problems that you should know how to solve as a students registered in Math 39200 C or any other section offering Math

More information

Mathematically, the path or the trajectory of a particle moving in space in described by a function of time.

Mathematically, the path or the trajectory of a particle moving in space in described by a function of time. Module 15 : Vector fields, Gradient, Divergence and Curl Lecture 45 : Curves in space [Section 45.1] Objectives In this section you will learn the following : Concept of curve in space. Parametrization

More information

Functions of Several Variables

Functions of Several Variables Functions of Several Variables Directional Derivatives and the Gradient Vector Philippe B Laval KSU April 7, 2012 Philippe B Laval (KSU) Functions of Several Variables April 7, 2012 1 / 19 Introduction

More information

Without fully opening the exam, check that you have pages 1 through 11.

Without fully opening the exam, check that you have pages 1 through 11. Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the exam, check that you have pages 1 through 11. Show all your work on the standard

More information

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

MATH Harrell. Which way is up? Lecture 9. Copyright 2008 by Evans M. Harrell II. MATH 2401 - Harrell Which way is up? Lecture 9 Copyright 2008 by Evans M. Harrell II. A set does not necessarily have boundaries If it does have boundaries Are the boundaries part of the set or not? Sets

More information

. 1. Chain rules. Directional derivative. Gradient Vector Field. Most Rapid Increase. Implicit Function Theorem, Implicit Differentiation

. 1. Chain rules. Directional derivative. Gradient Vector Field. Most Rapid Increase. Implicit Function Theorem, Implicit Differentiation 1 Chain rules 2 Directional derivative 3 Gradient Vector Field 4 Most Rapid Increase 5 Implicit Function Theorem, Implicit Differentiation 6 Lagrange Multiplier 7 Second Derivative Test Theorem Suppose

More information

Curves: We always parameterize a curve with a single variable, for example r(t) =

Curves: We always parameterize a curve with a single variable, for example r(t) = Final Exam Topics hapters 16 and 17 In a very broad sense, the two major topics of this exam will be line and surface integrals. Both of these have versions for scalar functions and vector fields, and

More information

ME 210 Applied Mathematics for Mechanical Engineers

ME 210 Applied Mathematics for Mechanical Engineers Note that the unit vectos, T, N and B ae thee unit vectos pependicula to each othe whose diections ae dictated by the local behavio of the cuve C at its point P. They fom a moving ight handed vecto fame

More information

Tangent Planes and Linear Approximations

Tangent Planes and Linear Approximations February 21, 2007 Tangent Planes Tangent Planes Let S be a surface with equation z = f (x, y). Tangent Planes Let S be a surface with equation z = f (x, y). Let P(x 0, y 0, z 0 ) be a point on S. Tangent

More information

Exam 1 Review. MATH Intuitive Calculus Fall Name:. Show your reasoning. Use standard notation correctly.

Exam 1 Review. MATH Intuitive Calculus Fall Name:. Show your reasoning. Use standard notation correctly. MATH 11012 Intuitive Calculus Fall 2012 Name:. Exam 1 Review Show your reasoning. Use standard notation correctly. 1. Consider the function f depicted below. y 1 1 x (a) Find each of the following (or

More information

MA 174: Multivariable Calculus Final EXAM (practice) NO CALCULATORS, BOOKS, OR PAPERS ARE ALLOWED. Use the back of the test pages for scrap paper.

MA 174: Multivariable Calculus Final EXAM (practice) NO CALCULATORS, BOOKS, OR PAPERS ARE ALLOWED. Use the back of the test pages for scrap paper. MA 174: Multivariable alculus Final EXAM (practice) NAME lass Meeting Time: NO ALULATOR, BOOK, OR PAPER ARE ALLOWED. Use the back of the test pages for scrap paper. Points awarded 1. (5 pts). (5 pts).

More information

8(x 2) + 21(y 1) + 6(z 3) = 0 8x + 21y + 6z = 55.

8(x 2) + 21(y 1) + 6(z 3) = 0 8x + 21y + 6z = 55. MATH 24 -Review for Final Exam. Let f(x, y, z) x 2 yz + y 3 z x 2 + z, and a (2,, 3). Note: f (2xyz 2x, x 2 z + 3y 2 z, x 2 y + y 3 + ) f(a) (8, 2, 6) (a) Find all stationary points (if any) of f. et f.

More information

Surfaces and Partial Derivatives

Surfaces and Partial Derivatives Surfaces and James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University November 15, 2017 Outline 1 2 Tangent Planes Let s go back to our simple surface

More information

Triple Integrals. MATH 311, Calculus III. J. Robert Buchanan. Fall Department of Mathematics. J. Robert Buchanan Triple Integrals

Triple Integrals. MATH 311, Calculus III. J. Robert Buchanan. Fall Department of Mathematics. J. Robert Buchanan Triple Integrals Triple Integrals MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Fall 211 Riemann Sum Approach Suppose we wish to integrate w f (x, y, z), a continuous function, on the box-shaped region

More information

MAC2313 Final A. a. The vector r u r v lies in the tangent plane of S at a given point. b. S f(x, y, z) ds = R f(r(u, v)) r u r v du dv.

MAC2313 Final A. a. The vector r u r v lies in the tangent plane of S at a given point. b. S f(x, y, z) ds = R f(r(u, v)) r u r v du dv. MAC2313 Final A (5 pts) 1. Let f(x, y, z) be a function continuous in R 3 and let S be a surface parameterized by r(u, v) with the domain of the parameterization given by R; how many of the following are

More information

The Level Set Method. Lecture Notes, MIT J / 2.097J / 6.339J Numerical Methods for Partial Differential Equations

The Level Set Method. Lecture Notes, MIT J / 2.097J / 6.339J Numerical Methods for Partial Differential Equations The Level Set Method Lecture Notes, MIT 16.920J / 2.097J / 6.339J Numerical Methods for Partial Differential Equations Per-Olof Persson persson@mit.edu March 7, 2005 1 Evolving Curves and Surfaces Evolving

More information

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

UNIVERSIDAD CARLOS III DE MADRID MATHEMATICS II EXERCISES (SOLUTIONS ) CHAPTER 3: Partial derivatives and differentiation UNIVERSIDAD CARLOS III DE MADRID MATHEMATICS II EXERCISES SOLUTIONS ) 3-1. Find, for the following functions: a) fx, y) x cos x sin y. b) fx, y) e xy. c) fx, y) x + y ) lnx + y ). CHAPTER 3: Partial derivatives

More information

6. Find the equation of the plane that passes through the point (-1,2,1) and contains the line x = y = z.

6. Find the equation of the plane that passes through the point (-1,2,1) and contains the line x = y = z. Week 1 Worksheet Sections from Thomas 13 th edition: 12.4, 12.5, 12.6, 13.1 1. A plane is a set of points that satisfies an equation of the form c 1 x + c 2 y + c 3 z = c 4. (a) Find any three distinct

More information

Directional Derivatives as Vectors

Directional Derivatives as Vectors Directional Derivatives as Vectors John Ganci 1 Al Lehnen 2 1 Richland College Dallas, TX jganci@dcccd.edu 2 Madison Area Technical College Madison, WI alehnen@matcmadison.edu Statement of problem We are

More information

MATH 209 Lab Solutions

MATH 209 Lab Solutions MATH 9 Lab Solutions Richard M. Slevinsky 1 November 1, 13 1 Contact: rms8@ualberta.ca Contents 1 Multivariable Functions and Limits Partial Derivatives 6 3 Directional Derivatives and Gradients 15 4 Maximum

More information

f(x) = C. (1) f(x,y) = C implies that x 2 + y 2 = C 0. (2)

f(x) = C. (1) f(x,y) = C implies that x 2 + y 2 = C 0. (2) Lecture 4 Level Sets/Contours (Relevant section from Stewart, Calculus, Early Transcendentals, Sixth Edition: 14.1) You are no doubt familiar with the idea of contour plots from geography topographic maps

More information

Practice problems. 1. Given a = 3i 2j and b = 2i + j. Write c = i + j in terms of a and b.

Practice problems. 1. Given a = 3i 2j and b = 2i + j. Write c = i + j in terms of a and b. Practice problems 1. Given a = 3i 2j and b = 2i + j. Write c = i + j in terms of a and b. 1, 1 = c 1 3, 2 + c 2 2, 1. Solve c 1, c 2. 2. Suppose a is a vector in the plane. If the component of the a in

More information

Preliminary Mathematics of Geometric Modeling (3)

Preliminary Mathematics of Geometric Modeling (3) Preliminary Mathematics of Geometric Modeling (3) Hongxin Zhang and Jieqing Feng 2006-11-27 State Key Lab of CAD&CG, Zhejiang University Differential Geometry of Surfaces Tangent plane and surface normal

More information

The diagram above shows a sketch of the curve C with parametric equations

The diagram above shows a sketch of the curve C with parametric equations 1. The diagram above shows a sketch of the curve C with parametric equations x = 5t 4, y = t(9 t ) The curve C cuts the x-axis at the points A and B. (a) Find the x-coordinate at the point A and the x-coordinate

More information

f xx (x, y) = 6 + 6x f xy (x, y) = 0 f yy (x, y) = y In general, the quantity that we re interested in is

f xx (x, y) = 6 + 6x f xy (x, y) = 0 f yy (x, y) = y In general, the quantity that we re interested in is 1. Let f(x, y) = 5 + 3x 2 + 3y 2 + 2y 3 + x 3. (a) Final all critical points of f. (b) Use the second derivatives test to classify the critical points you found in (a) as a local maximum, local minimum,

More information

Euler s Method and Logistic Growth (BC Only)

Euler s Method and Logistic Growth (BC Only) Euler s Method Students should be able to: Approximate numerical solutions of differential equations using Euler s method without a calculator. Recognize the method as an recursion formula extension of

More information

There are 10 problems, with a total of 150 points possible. (a) Find the tangent plane to the surface S at the point ( 2, 1, 2).

There are 10 problems, with a total of 150 points possible. (a) Find the tangent plane to the surface S at the point ( 2, 1, 2). Instructions Answer each of the questions on your own paper, and be sure to show your work so that partial credit can be adequately assessed. Put your name on each page of your paper. You may use a scientific

More information

14.6 Directional Derivatives and the Gradient Vector

14.6 Directional Derivatives and the Gradient Vector 14 Partial Derivatives 14.6 and the Gradient Vector Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. and the Gradient Vector In this section we introduce

More information

13.6 Directional derivatives,

13.6 Directional derivatives, 13.5 The chain rule Theorem [Chain Rule for Functions of Two Variables] If w = f ( x, y ) is differentiable and x and y are differentiable functions of t, then w is a differentiable function of t and dw

More information

MATH 116 REVIEW PROBLEMS for the FINAL EXAM

MATH 116 REVIEW PROBLEMS for the FINAL EXAM MATH 116 REVIEW PROBLEMS for the FINAL EXAM The following questions are taken from old final exams of various calculus courses taught in Bilkent University 1. onsider the line integral (2xy 2 z + y)dx

More information

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

Math 11 Fall 2016 Section 1 Monday, October 17, 2016 Math 11 Fall 16 Section 1 Monday, October 17, 16 First, some important points from the last class: f(x, y, z) dv, the integral (with respect to volume) of f over the three-dimensional region, is a triple

More information

14.4: Tangent Planes and Linear Approximations

14.4: Tangent Planes and Linear Approximations 14.4: Tangent Planes and Linear Approximations Marius Ionescu October 15, 2012 Marius Ionescu () 14.4: Tangent Planes and Linear Approximations October 15, 2012 1 / 13 Tangent Planes Marius Ionescu ()

More information

minutes/question 26 minutes

minutes/question 26 minutes st Set Section I (Multiple Choice) Part A (No Graphing Calculator) 3 problems @.96 minutes/question 6 minutes. What is 3 3 cos cos lim? h hh (D) - The limit does not exist.. At which of the five points

More information

18.02 Final Exam. y = 0

18.02 Final Exam. y = 0 No books, notes or calculators. 5 problems, 50 points. 8.0 Final Exam Useful formula: cos (θ) = ( + cos(θ)) Problem. (0 points) a) (5 pts.) Find the equation in the form Ax + By + z = D of the plane P

More information

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

Kevin James. MTHSC 206 Section 15.6 Directional Derivatives and the Gra MTHSC 206 Section 15.6 Directional Derivatives and the Gradient Vector Definition We define the directional derivative of the function f (x, y) at the point (x 0, y 0 ) in the direction of the unit vector

More information

Math 5BI: Problem Set 2 The Chain Rule

Math 5BI: Problem Set 2 The Chain Rule Math 5BI: Problem Set 2 The Chain Rule April 5, 2010 A Functions of two variables Suppose that γ(t) = (x(t), y(t), z(t)) is a differentiable parametrized curve in R 3 which lies on the surface S defined

More information

Answer: Find the volume of the solid generated by revolving the shaded region about the given axis. 2) About the x-axis. y = 9 - x π.

Answer: Find the volume of the solid generated by revolving the shaded region about the given axis. 2) About the x-axis. y = 9 - x π. Final Review Study All Eams. Omit the following sections: 6.,.6,., 8. For Ch9 and, study Eam4 and Eam 4 review sheets. Find the volume of the described solid. ) The base of the solid is the disk + y 4.

More information

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

Math 21a Tangent Lines and Planes Fall, What do we know about the gradient f? Tangent Lines to Curves in the Plane. Math 21a Tangent Lines and Planes Fall, 2016 What do we know about the gradient f? Tangent Lines to Curves in the Plane. 1. For each of the following curves, find the tangent line to the curve at the point

More information

MATH 234. Excercises on Integration in Several Variables. I. Double Integrals

MATH 234. Excercises on Integration in Several Variables. I. Double Integrals MATH 234 Excercises on Integration in everal Variables I. Double Integrals Problem 1. D = {(x, y) : y x 1, 0 y 1}. Compute D ex3 da. Problem 2. Find the volume of the solid bounded above by the plane 3x

More information

HSC Mathematics - Extension 1. Workshop E2

HSC Mathematics - Extension 1. Workshop E2 HSC Mathematics - Extension Workshop E Presented by Richard D. Kenderdine BSc, GradDipAppSc(IndMaths), SurvCert, MAppStat, GStat School of Mathematics and Applied Statistics University of Wollongong Moss

More information

Lecture 15. Lecturer: Prof. Sergei Fedotov Calculus and Vectors. Length of a Curve and Parametric Equations

Lecture 15. Lecturer: Prof. Sergei Fedotov Calculus and Vectors. Length of a Curve and Parametric Equations Lecture 15 Lecturer: Prof. Sergei Fedotov 10131 - Calculus and Vectors Length of a Curve and Parametric Equations Sergei Fedotov (University of Manchester) MATH10131 2011 1 / 5 Lecture 15 1 Length of a

More information

Dr. Allen Back. Nov. 19, 2014

Dr. Allen Back. Nov. 19, 2014 Why of Dr. Allen Back Nov. 19, 2014 Graph Picture of T u, T v for a Lat/Long Param. of the Sphere. Why of Graph Basic Picture Why of Graph Why Φ(u, v) = (x(u, v), y(u, v), z(u, v)) Tangents T u = (x u,

More information