3. (12 %) Find an equation of the tangent plane at the point (2,2,1) to the surface. u = t. Find z t. v = se t.

Size: px
Start display at page:

Download "3. (12 %) Find an equation of the tangent plane at the point (2,2,1) to the surface. u = t. Find z t. v = se t."

Transcription

1 EXAM - Math 17 NAME: I.D.: Instrction: Circle yor answers and show all yor work clearly. Messing arond may reslt in losing credits, since the grader may be forced to pick the worst to grade. Soltions with answer only and withot spporting procedres will hae little credit. Partial credit will only be gien to soltions that contain part of the procedre of a correct soltion. Yo may leae yor answers in fractions or radicals withot sing calclators to conert them into decimals. 1. (1 %) Let ρ (sin θ cos θ + cos φ) = 4 be the eqation of a srface. Conert it to rectanglar coordinates. xy. (10 %) Ealate the limit lim (x,y) (0,0) x + y. 3. (1 %) Find an eqation of the tangent plane at the point (,,1) to the srface z 3 + (x + y)z + (x + y ) = (14 %) Find all second-order deriaties of f(x, y) = sin(xy ). 5. (1 %) Let z = x tan 1 (xy), where = t = se t. Find t and s. 6. (1 %) The fnction f(x, y) = x 4 + y 4 4xy + 1 has two critical points at (0, 0) and (1, 1). Classify these critical points. 7. (14 %) Find the highest and the lowest point of the srface gien by z = f(x, y) = x + xy + 3y oer a sqare region with ertices ( 1, 0), ( 1, 1), (1, 1) and (1, 1). 8. (14 %) Let f(x, y) = x y. (8A) Find the maximm direcional deriatie of f at (6, ). (8B) Find the directional deriatie of f at the point (6, ) in the direction = i + 3 j. (8C) What is the direction in which the fnction has maximm rate of change at (6, ), and what is the maximm rate of change at (6, )? 1

2 EXAM - Math 17 NAME: I.D.: Instrction: Circle yor answers and show all yor work clearly. Messing arond may reslt in losing credits, since the grader may be forced to pick the worst to grade. Soltions with answer only and withot spporting procedres will hae little credit. Partial credit will only be gien to soltions that contain part of the procedre of a correct soltion. Yo may leae yor answers in fractions or radicals withot sing calclators to conert them into decimals. 1. (1 %) Let x + y + z = x + y be the eqation of a srface. (1A) Conert it to cylindrical coordinates. (1B) Conert it to spherical coordinates. x. (10 %) Show that the limit lim does not exist. (x,y) (0,0) x + y 3. (1 %) Find an eqation of the tangent plane at the point (,,1) to the srface z 3 + (x + y)z + (x + y ) = (14 %) Find all second-order deriaties of f(x, y) = sin(xy ). 5. (1 %) Let z = xy ln( + ), where = x + y = x 3 + y 3. Find x and y. 6. (1 %) The fnction f(x, y) = x 3 + 6xy + 3y 9x has two critical points at (3, 3) and ( 1, 1). Classify these critical points. 7. (14 %) Find the highest and the lowest point of the srface gien by z = f(x, y) = x + xy + 3y oer a trianglar region with ertices (0,0), (1,0) and (1,1). 8. (14 %) Let f(x, y) = xe xy. (8A) Find the maximm direcional deriatie of f at (1, 0). (8B) Find the directional deriatie of f at the point (1, 0) in the direction = 3 i+4 j. (8C) What is the direction in which the fnction has maximm rate of change at (1,0), and what is the maximm rate of change at (1,0)?

3 Reiew for Exam Fnctions of Seeral Variables 1. Cylindrical and Spherical Coordinates (x, y, z) rectanglar coordinates (r, θ, z) cylindrical coordinates (ρ, φ, θ) spherical coordinates Conersion Fomlas: x = r cos θ, y = sin θ, r = x + y, tan θ = y if x 0. x x = ρ sin φ cos θ, y = ρ sin φ sin θ, z = ρ cos φ, ρ = x + y + z.. Limits of f(x, y) at (a, b). lim (x,y) (a,b) f(x, y) = f(a, b), if f(x, y) is continos at (a, b). If f(a, b) 0 0 or, try to se other coordinates. lim (x,y) (a,b) f(x, y) exists only if the ale of lim (x,y) (a,b) f(x, y) remains the same when (x, y) approaches (a, b) along all possible cres. 3. Tangent Plane The tangent plane to a srface at (x 0, y 0, z 0 ) is a(x x 0 ) + b(y y 0 ) + c(z z 0 ) = 0, where a, b, c = n is a normal ector of the tangent plane. fx (x n = 0, y 0 ), f y (x 0, y 0 ), 1 if the srface is z = f(x, y) F x (x 0, y 0, z 0 ), F y (x 0, y 0, z 0 ), F z (x 0, y 0, z 0 ) if the srface is F (x, y, z) = 0. The srface z = f(x, y) has a horizontal tangent plane at (x 0, y 0 ) if (x 0, y 0 ) satifies f x (x 0, y 0 ) = 0 and f y (x 0, y 0 ) = Extrema of a fnction z = f(x, y) Absolte extrema oer a region R: First find all the candidates (interior critical points of R, critical points on the bondaries of R, cornor points of R, if there are any), then compare their z-ales to pick the highest and the lowest ales. Local maxima and local minima: fx = 0 First sole to get all the critical points. Then classify each critical point (a, b) f y = 0 by the discreminant (a, b) = f xx (a, b)f yy (a, b) fxy(a, b). If (a, b) > 0 and f xx (a, b) > 0, then f(x, y) has a local min at (a, b). If (a, b) > 0 and f xx (a, b) < 0, then f(x, y) has a local max at (a, b). 3

4 If (a, b) < 0, then f(a, b) is neither a local max nor a local min. If (a, b) = 0, then no conclsion may be made. The test fails. 5. Partial Deriaties (A) If w = f(x, y, z), then there are three first order partial dertiaties x, y,, and nine second order partial dertiaties. = (t) (B) If w = f(, ) and Then w(t) and w = (t) (t) exist and dw dt = f d dt + f d dt. = (x, y) (C) If w = f(, ) and Then w(x, y) exists and = (x, y) (D) If w = f(x, y,, ) and x = f x + f x, = (x, y) = (x, y) x = f x + f x + f x, y = f y + f y. Then w(x, y) exists and y = f y + f y + f y. 6. Directional Deriaties of f(x, y, z) The gradiaent ector f = f x i + fy j + fz k. The directional deriatie of f on the direction is D f = f, where mst be a nit ector. D f is the rate of change of the fnction in the direction. The maximm directional deriatie of f at (a, b) is f(a, b). f points to the direction in which f has the maximm rate of change. 4

5 Soltion of Exam 1. (1 %) Let x + y + z = x + y be the eqation of a srface. (1A) Conert it to cylindrical coordinates. (1B) Conert it to spherical coordinates. Soltion (1A) r + z = r, sing x + y = r. (1B) Use ρ = x + y + z to get Ths the answer is ρ = cos φ. ρ = ρ cos φ cos θ + ρ cos φ sin θ = ρ cos φ. x. (10 %) Show that the limit lim does not exist. (x,y) (0,0) x + y x Soltion lim (x,y) (0,0) x + y = lim r cos θ = cos θ. Therefore the answer aries (r,θ) (0,θ) r as θ changes. For example, if θ = 0, (this means (x, y) goes to (0,0) along the x-axis), then the answer is 1; and if θ = π, (this means (x, y) goes to (0,0) along the line y = x), 4 then the answer is. Since the answer aries as the limiting process takes different cres, the limit does not exists. 3. (1 %) Find an eqation of the tangent plane at the point (,,1) to the srface z 3 + (x + y)z + (x + y ) = 3. Soltion n = F x, F y, F z = z + x, z + y, 3z + (x + y)z, n(,, 1) = 5, 5, 11. The eqation of the tangent plane is 5(x ) + 5(y ) + 11(z 1) = (14 %) Find all second-order deriaties of f(x, y) = sin(xy ). Soltion f x = y cos(xy ), f y = xy cos(xy ). f xx = y 4 sin(xy ), f yy = x cos(xy ) 4x y sin(xy ), and f xy = f yx = y cos(xy ) xy 3 sin(xy ). 5. (1 %) Let z = xy ln( + ), where = x + y = x 3 + y 3. Find x and y. Soltion x = f x + f x + f x = xy + (x) + xy (3x) + y ln( + ), + 5

6 y = f y + f y + f y = xy + (y) + xy + (3y) + x ln( + ). 6. (1 %) The fnction f(x, y) = x 3 + 6xy + 3y 9x has two critical points at (3, 3) and ( 1, 1). Classify these critical points. Soltion f x = 3x + 6y 9, f xx = 6x, f xy = 6, f y = 6y + 6x, f yy = 6. (3, 3) = 18(6) 36 > 0 and f xx (3, 3) = 18 > 0, a local min at (3, 3) ( 1, 1) = ( 6)(6) 36 < 0, neither local max nor local min at ( 1, 1). 7. (14 %) Find the highest and the lowest point of the srface gien by z = f(x, y) = x + xy + 3y oer a trianglar region with ertices (0,0), (1,0) and (1,1). Soltion Interior points: Sole f x = x + y = 0 and f y = x + 6y = 0 to get x = 0, y = 0. (0,0) is a corner point. So there is no critical point inside the triangle. Critical Points on the Bondaries: On the edge y = x: f(x, y) = f(x, x) = x + x + 3x = 6x, f = 1x, x = 0. = (0,0). On the edge x = 1: f(x, y) = f(1, y) = 1 + y + 3y, f = + 6y = 0, y = 1. = Not in 3 domain. Discarded. On the edge y = 0: f(x, y) = f(x, 0) = x, f = x, x = 0. = (0,0). There are three corner points (0,0), (1,1), (1,0). All together there are for candidates. Compare their z-ales: f(0, 0) = 0 (minimm ale) f(1, 0) = 1 f(1, 1) = = 6 (maximm ale) f(1, 1) = = The highest point is at (1,1) and the lowest point at (0,0). 8. (14 %) Let f(x, y) = xe xy. (8A) Find the maximm direcional deriatie of f at (1, 0). (8B) Find the directional deriatie of f at the point (1, 0) in the direction = 3 i+4 j. (8C) What is the direction in which the fnction has maximm rate of change, and what is the maximm rate of change? Soltion (8A) f = f x i + fy j = (e xy + xye xy ) i + x e xy j. f(1, 0) = i + j, f =. (8B) = = 1 5 (3 i + 5 j). D f = D f = f(1, 0) = 1, 1 3 5, 4 5 = 7 5. (8C) The direction is f(1, 0) = 1 1, 1, the max. rate of change is f(1, 0) =. 6

Math 148 Exam III Practice Problems

Math 148 Exam III Practice Problems Math 48 Exam III Practice Problems This review should not be used as your sole source for preparation for the exam. You should also re-work all examples given in lecture, all homework problems, all lab

More information

Exam 2 Summary. 1. The domain of a function is the set of all possible inputes of the function and the range is the set of all outputs.

Exam 2 Summary. 1. The domain of a function is the set of all possible inputes of the function and the range is the set of all outputs. Exam 2 Summary Disclaimer: The exam 2 covers lectures 9-15, inclusive. This is mostly about limits, continuity and differentiation of functions of 2 and 3 variables, and some applications. The complete

More information

2IV10 Exercise 4: Basic Geometry

2IV10 Exercise 4: Basic Geometry IV10 Exercise 4: Basic Geometry 1. Gien two scceeding line segments with ertices, Q and R. R R r Q Q a. Assme that a procedre DrawLine(A, B: Tpoint) is aailable to draw a line segment from A to B. Gie

More information

FUNCTIONS OF SEVERAL VARIABLES AND PARTIAL DIFFERENTIATION

FUNCTIONS OF SEVERAL VARIABLES AND PARTIAL DIFFERENTIATION FUNCTIONS OF SEVERAL VARIABLES AND PARTIAL DIFFERENTIATION 1. Functions of Several Variables A function of two variables is a rule that assigns a real number f(x, y) to each ordered pair of real numbers

More information

Name: ID: Section: Math 233 Exam 2. Page 1. This exam has 17 questions:

Name: ID: Section: Math 233 Exam 2. Page 1. This exam has 17 questions: Page Name: ID: Section: This exam has 7 questions: 5 multiple choice questions worth 5 points each. 2 hand graded questions worth 25 points total. Important: No graphing calculators! Any non scientific

More information

Section 14.3 Partial Derivatives

Section 14.3 Partial Derivatives Section 14.3 Partial Derivatives Ruipeng Shen March 20 1 Basic Conceptions If f(x, y) is a function of two variables x and y, suppose we let only x vary while keeping y fixed, say y = b, where b is a constant.

More information

Math Final Exam - 6/11/2015

Math Final Exam - 6/11/2015 Math 200 - Final Exam - 6/11/2015 Name: Section: Section Class/Times Instructor Section Class/Times Instructor 1 9:00%AM ( 9:50%AM Papadopoulos,%Dimitrios 11 1:00%PM ( 1:50%PM Swartz,%Kenneth 2 11:00%AM

More information

11.7 Maximum and Minimum Values

11.7 Maximum and Minimum Values Arkansas Tech University MATH 2934: Calculus III Dr. Marcel B Finan 11.7 Maximum and Minimum Values Just like functions of a single variable, functions of several variables can have local and global extrema,

More information

Similarly, the point marked in red below is a local minimum for the function, since there are no points nearby that are lower than it:

Similarly, the point marked in red below is a local minimum for the function, since there are no points nearby that are lower than it: Extreme Values of Multivariate Functions Our next task is to develop a method for determining local extremes of multivariate functions, as well as absolute extremes of multivariate functions on closed

More information

MATH 259 FINAL EXAM. Friday, May 8, Alexandra Oleksii Reshma Stephen William Klimova Mostovyi Ramadurai Russel Boney A C D G H B F E

MATH 259 FINAL EXAM. Friday, May 8, Alexandra Oleksii Reshma Stephen William Klimova Mostovyi Ramadurai Russel Boney A C D G H B F E MATH 259 FINAL EXAM 1 Friday, May 8, 2009. NAME: Alexandra Oleksii Reshma Stephen William Klimova Mostovyi Ramadurai Russel Boney A C D G H B F E Instructions: 1. Do not separate the pages of the exam.

More information

Math 5BI: Problem Set 1 Linearizing functions of several variables

Math 5BI: Problem Set 1 Linearizing functions of several variables Math 5BI: Problem Set Linearizing functions of several variables March 9, A. Dot and cross products There are two special operations for vectors in R that are extremely useful, the dot and cross products.

More information

Lecture 19 - Partial Derivatives and Extrema of Functions of Two Variables

Lecture 19 - Partial Derivatives and Extrema of Functions of Two Variables Lecture 19 - Partial Derivatives and Extrema of Functions of Two Variables 19.1 Partial Derivatives We wish to maximize functions of two variables. This will involve taking derivatives. Example: Consider

More information

Math 2411 Calc III Practice Exam 2

Math 2411 Calc III Practice Exam 2 Math 2411 Calc III Practice Exam 2 This is a practice exam. The actual exam consists of questions of the type found in this practice exam, but will be shorter. If you have questions do not hesitate to

More information

Maxima and Minima. Terminology note: Do not confuse the maximum f(a, b) (a number) with the point (a, b) where the maximum occurs.

Maxima and Minima. Terminology note: Do not confuse the maximum f(a, b) (a number) with the point (a, b) where the maximum occurs. 10-11-2010 HW: 14.7: 1,5,7,13,29,33,39,51,55 Maxima and Minima In this very important chapter, we describe how to use the tools of calculus to locate the maxima and minima of a function of two variables.

More information

Test Yourself. 11. The angle in degrees between u and w. 12. A vector parallel to v, but of length 2.

Test Yourself. 11. The angle in degrees between u and w. 12. A vector parallel to v, but of length 2. Test Yourself These are problems you might see in a vector calculus course. They are general questions and are meant for practice. The key follows, but only with the answers. an you fill in the blanks

More information

Practice problems from old exams for math 233

Practice problems from old exams for math 233 Practice problems from old exams for math 233 William H. Meeks III January 14, 2010 Disclaimer: Your instructor covers far more materials that we can possibly fit into a four/five questions exams. These

More information

Unit 7 Partial Derivatives and Optimization

Unit 7 Partial Derivatives and Optimization Unit 7 Partial Derivatives and Optimization We have learned some important applications of the ordinary derivative in finding maxima and minima. We now move on to a topic called partial derivatives which

More information

WESI 205 Workbook. 1 Review. 2 Graphing in 3D

WESI 205 Workbook. 1 Review. 2 Graphing in 3D 1 Review 1. (a) Use a right triangle to compute the distance between (x 1, y 1 ) and (x 2, y 2 ) in R 2. (b) Use this formula to compute the equation of a circle centered at (a, b) with radius r. (c) Extend

More information

MATH 8 FALL 2010 CLASS 27, 11/19/ Directional derivatives Recall that the definitions of partial derivatives of f(x, y) involved limits

MATH 8 FALL 2010 CLASS 27, 11/19/ Directional derivatives Recall that the definitions of partial derivatives of f(x, y) involved limits MATH 8 FALL 2010 CLASS 27, 11/19/2010 1 Directional derivatives Recall that the definitions of partial derivatives of f(x, y) involved limits lim h 0 f(a + h, b) f(a, b), lim h f(a, b + h) f(a, b) In these

More information

Math for Economics 1 New York University FINAL EXAM, Fall 2013 VERSION A

Math for Economics 1 New York University FINAL EXAM, Fall 2013 VERSION A Math for Economics 1 New York University FINAL EXAM, Fall 2013 VERSION A Name: ID: Circle your instructor and lecture below: Jankowski-001 Jankowski-006 Ramakrishnan-013 Read all of the following information

More information

MATH 261 EXAM II PRACTICE PROBLEMS

MATH 261 EXAM II PRACTICE PROBLEMS MATH 61 EXAM II PRACTICE PROBLEMS These practice problems are pulled from actual midterms in previous semesters. Exam typically has 6 problems on it, with no more than one problem of any given type (e.g.,

More information

B) 0 C) 1 D) No limit. x2 + y2 4) A) 2 B) 0 C) 1 D) No limit. A) 1 B) 2 C) 0 D) No limit. 8xy 6) A) 1 B) 0 C) π D) -1

B) 0 C) 1 D) No limit. x2 + y2 4) A) 2 B) 0 C) 1 D) No limit. A) 1 B) 2 C) 0 D) No limit. 8xy 6) A) 1 B) 0 C) π D) -1 MTH 22 Exam Two - Review Problem Set Name Sketch the surface z = f(x,y). ) f(x, y) = - x2 ) 2) f(x, y) = 2 -x2 - y2 2) Find the indicated limit or state that it does not exist. 4x2 + 8xy + 4y2 ) lim (x,

More information

Review guide for midterm 2 in Math 233 March 30, 2009

Review guide for midterm 2 in Math 233 March 30, 2009 Review guide for midterm 2 in Math 2 March, 29 Midterm 2 covers material that begins approximately with the definition of partial derivatives in Chapter 4. and ends approximately with methods for calculating

More information

(d) If a particle moves at a constant speed, then its velocity and acceleration are perpendicular.

(d) If a particle moves at a constant speed, then its velocity and acceleration are perpendicular. Math 142 -Review Problems II (Sec. 10.2-11.6) Work on concept check on pages 734 and 822. More review problems are on pages 734-735 and 823-825. 2nd In-Class Exam, Wednesday, April 20. 1. True - False

More information

11/18/2008 SECOND HOURLY FIRST PRACTICE Math 21a, Fall Name:

11/18/2008 SECOND HOURLY FIRST PRACTICE Math 21a, Fall Name: 11/18/28 SECOND HOURLY FIRST PRACTICE Math 21a, Fall 28 Name: MWF 9 Chung-Jun John Tsai MWF 1 Ivana Bozic MWF 1 Peter Garfield MWF 1 Oliver Knill MWF 11 Peter Garfield MWF 11 Stefan Hornet MWF 12 Aleksander

More information

The Chain Rule, Higher Partial Derivatives & Opti- mization

The Chain Rule, Higher Partial Derivatives & Opti- mization The Chain Rule, Higher Partial Derivatives & Opti- Unit #21 : mization Goals: We will study the chain rule for functions of several variables. We will compute and study the meaning of higher partial derivatives.

More information

MATH 105: Midterm #1 Practice Problems

MATH 105: Midterm #1 Practice Problems Name: MATH 105: Midterm #1 Practice Problems 1. TRUE or FALSE, plus explanation. Give a full-word answer TRUE or FALSE. If the statement is true, explain why, using concepts and results from class to justify

More information

CHAPTER 11 PARTIAL DERIVATIVES

CHAPTER 11 PARTIAL DERIVATIVES CHAPTER 11 PARTIAL DERIVATIVES 1. FUNCTIONS OF SEVERAL VARIABLES A) Definition: A function of two variables is a rule that assigns to each ordered pair of real numbers (x,y) in a set D a unique real number

More information

Exam 2 Review Sheet. r(t) = x(t), y(t), z(t)

Exam 2 Review Sheet. r(t) = x(t), y(t), z(t) Exam 2 Review Sheet Joseph Breen Particle Motion Recall that a parametric curve given by: r(t) = x(t), y(t), z(t) can be interpreted as the position of a particle. Then the derivative represents the particle

More information

Apply Double-Angle and Half-Angle Formulas

Apply Double-Angle and Half-Angle Formulas 47 a2, 2A2A; P3A TEKS Apply Doble-Angle and Half-Angle Formlas Before Yo evalated expressions sing sm and difference formlas Now Yo will se doble-angle and half-angle formlas Why? So yo can find the distance

More information

LESSON 18: INTRODUCTION TO FUNCTIONS OF SEVERAL VARIABLES MATH FALL 2018

LESSON 18: INTRODUCTION TO FUNCTIONS OF SEVERAL VARIABLES MATH FALL 2018 LESSON 8: INTRODUCTION TO FUNCTIONS OF SEVERAL VARIABLES MATH 6020 FALL 208 ELLEN WELD. Partial Derivatives We aress how to take a erivative of a function of several variables. Although we won t get into

More information

Functions of several variables

Functions of several variables Chapter 6 Functions of several variables 6.1 Limits and continuity Definition 6.1 (Euclidean distance). Given two points P (x 1, y 1 ) and Q(x, y ) on the plane, we define their distance by the formula

More information

MATH Review Exam II 03/06/11

MATH Review Exam II 03/06/11 MATH 21-259 Review Exam II 03/06/11 1. Find f(t) given that f (t) = sin t i + 3t 2 j and f(0) = i k. 2. Find lim t 0 3(t 2 1) i + cos t j + t t k. 3. Find the points on the curve r(t) at which r(t) and

More information

Differentiable functions (Sec. 14.4)

Differentiable functions (Sec. 14.4) Math 20C Multivariable Calculus Lecture 3 Differentiable functions (Sec. 4.4) Review: Partial derivatives. Slide Partial derivatives and continuity. Equation of the tangent plane. Differentiable functions.

More information

Calculus 3 Exam 2 31 October 2017

Calculus 3 Exam 2 31 October 2017 Calculus 3 Exam 2 31 October 2017 Name: Instructions: Be sure to read each problem s directions. Write clearly during the exam and fully erase or mark out anything you do not want graded. You may use your

More information

OPTI-202R Final Exam Name Spring 2008

OPTI-202R Final Exam Name Spring 2008 OPTI-202R Final Exam Name Spring 2008 Note: Closed book; closed notes. Eqation sheets are inclded. A spare ratrace sheet is also attached. Assme thin lenses in air if not specified. If a method of soltion

More information

This exam contains 9 problems. CHECK THAT YOU HAVE A COMPLETE EXAM.

This exam contains 9 problems. CHECK THAT YOU HAVE A COMPLETE EXAM. Math 126 Final Examination Winter 2012 Your Name Your Signature Student ID # Quiz Section Professor s Name TA s Name This exam contains 9 problems. CHECK THAT YOU HAVE A COMPLETE EXAM. This exam is closed

More information

Practice problems from old exams for math 233

Practice problems from old exams for math 233 Practice problems from old exams for math 233 William H. Meeks III October 26, 2012 Disclaimer: Your instructor covers far more materials that we can possibly fit into a four/five questions exams. These

More information

Math 233. Extrema of Functions of Two Variables Basics

Math 233. Extrema of Functions of Two Variables Basics Math 233. Extrema of Functions of Two Variables Basics Theorem (Extreme Value Theorem) Let f be a continuous function of two variables x and y defined on a closed bounded region R in the xy-plane. Then

More information

Math Final Exam - 6/13/2013

Math Final Exam - 6/13/2013 Math - Final Exam - 6/13/13 NAME: SECTION: Directions: For the free response section, you must show all work. Answers without proper justification will not receive full credit. Partial credit will be awarded

More information

University of California, Berkeley Department of Mathematics 5 th November, 2012, 12:10-12:55 pm MATH 53 - Test #2

University of California, Berkeley Department of Mathematics 5 th November, 2012, 12:10-12:55 pm MATH 53 - Test #2 University of California, Berkeley epartment of Mathematics 5 th November, 212, 12:1-12:55 pm MATH 53 - Test #2 Last Name: First Name: Student Number: iscussion Section: Name of GSI: Record your answers

More information

Solutions to the problems from Written assignment 2 Math 222 Winter 2015

Solutions to the problems from Written assignment 2 Math 222 Winter 2015 Solutions to the problems from Written assignment 2 Math 222 Winter 2015 1. Determine if the following limits exist, and if a limit exists, find its value. x2 y (a) The limit of f(x, y) = x 4 as (x, y)

More information

Review #Final Exam MATH 142-Drost

Review #Final Exam MATH 142-Drost Fall 2007 1 Review #Final Exam MATH 142-Drost 1. Find the domain of the function f(x) = x 1 x 2 if x3 2. Suppose 450 items are sold per day at a price of $53 per item and that 650 items are

More information

Calculus IV Math 2443 Review for Exam 2 on Mon Oct 24, 2016 Exam 2 will cover This is only a sample. Try all the homework problems.

Calculus IV Math 2443 Review for Exam 2 on Mon Oct 24, 2016 Exam 2 will cover This is only a sample. Try all the homework problems. Calculus IV Math 443 eview for xam on Mon Oct 4, 6 xam will cover 5. 5.. This is only a sample. Try all the homework problems. () o not evaluated the integral. Write as iterated integrals: (x + y )dv,

More information

Math 32, October 22 & 27: Maxima & Minima

Math 32, October 22 & 27: Maxima & Minima Math 32, October 22 & 27: Maxima & Minima Section 1: Critical Points Just as in the single variable case, for multivariate functions we are often interested in determining extreme values of the function.

More information

Chapter 16. Partial Derivatives

Chapter 16. Partial Derivatives Chapter 16 Partial Derivatives The use of contour lines to help understand a function whose domain is part of the plane goes back to the year 1774. A group of surveyors had collected a large number of

More information

Review Problems. Calculus IIIA: page 1 of??

Review Problems. Calculus IIIA: page 1 of?? Review Problems The final is comprehensive exam (although the material from the last third of the course will be emphasized). You are encouraged to work carefully through this review package, and to revisit

More information

Definitions and claims functions of several variables

Definitions and claims functions of several variables Definitions and claims functions of several variables In the Euclidian space I n of all real n-dimensional vectors x = (x 1, x,..., x n ) the following are defined: x + y = (x 1 + y 1, x + y,..., x n +

More information

18.3. Stationary Points. Introduction. Prerequisites. Learning Outcomes

18.3. Stationary Points. Introduction. Prerequisites. Learning Outcomes Stationary Points 8.3 Introduction The calculation of the optimum value of a function of two variables is a common requirement in many areas of engineering, for example in thermodynamics. Unlike the case

More information

Maxima and Minima. Chapter Local and Global extrema. 5.2 Continuous functions on closed and bounded sets Definition of global extrema

Maxima and Minima. Chapter Local and Global extrema. 5.2 Continuous functions on closed and bounded sets Definition of global extrema Chapter 5 Maxima and Minima In first semester calculus we learned how to find the maximal and minimal values of a function y = f(x) of one variable. The basic method is as follows: assuming the independent

More information

SOLUTIONS 2. PRACTICE EXAM 2. HOURLY. Problem 1) TF questions (20 points) Circle the correct letter. No justifications are needed.

SOLUTIONS 2. PRACTICE EXAM 2. HOURLY. Problem 1) TF questions (20 points) Circle the correct letter. No justifications are needed. SOLUIONS 2. PRACICE EXAM 2. HOURLY Math 21a, S03 Problem 1) questions (20 points) Circle the correct letter. No justifications are needed. A function f(x, y) on the plane for which the absolute minimum

More information

MA Calculus III Exam 3 : Part I 25 November 2013

MA Calculus III Exam 3 : Part I 25 November 2013 MA 225 - Calculus III Exam 3 : Part I 25 November 2013 Instructions: You have as long as you need to work on the first portion of this exam. When you finish, turn it in and only then you are allowed to

More information

Mock final exam Math fall 2007

Mock final exam Math fall 2007 Mock final exam Math - fall 7 Fernando Guevara Vasquez December 5 7. Consider the curve r(t) = ti + tj + 5 t t k, t. (a) Show that the curve lies on a sphere centered at the origin. (b) Where does the

More information

2.1 Partial Derivatives

2.1 Partial Derivatives .1 Partial Derivatives.1.1 Functions of several variables Up until now, we have only met functions of single variables. From now on we will meet functions such as z = f(x, y) and w = f(x, y, z), which

More information

Section 15.3 Partial Derivatives

Section 15.3 Partial Derivatives Section 5.3 Partial Derivatives Differentiating Functions of more than one Variable. Basic Definitions In single variable calculus, the derivative is defined to be the instantaneous rate of change of a

More information

MATH Exam 2 Solutions November 16, 2015

MATH Exam 2 Solutions November 16, 2015 MATH 1.54 Exam Solutions November 16, 15 1. Suppose f(x, y) is a differentiable function such that it and its derivatives take on the following values: (x, y) f(x, y) f x (x, y) f y (x, y) f xx (x, y)

More information

11/1/2017 Second Hourly Practice 2 Math 21a, Fall Name:

11/1/2017 Second Hourly Practice 2 Math 21a, Fall Name: 11/1/217 Second Hourly Practice 2 Math 21a, Fall 217 Name: MWF 9 Jameel Al-Aidroos MWF 9 Dennis Tseng MWF 1 Yu-Wei Fan MWF 1 Koji Shimizu MWF 11 Oliver Knill MWF 11 Chenglong Yu MWF 12 Stepan Paul TTH

More information

VectorPlot[{y^2-2x*y,3x*y-6*x^2},{x,-5,5},{y,-5,5}]

VectorPlot[{y^2-2x*y,3x*y-6*x^2},{x,-5,5},{y,-5,5}] hapter 16 16.1. 6. Notice that F(x, y) has length 1 and that it is perpendicular to the position vector (x, y) for all x and y (except at the origin). Think about drawing the vectors based on concentric

More information

Instructions: Good luck! Math 21a Second Midterm Exam Spring, 2009

Instructions: Good luck! Math 21a Second Midterm Exam Spring, 2009 Your Name Your Signature Instructions: Please begin by printing and signing your name in the boxes above and by checking your section in the box to the right You are allowed 2 hours (120 minutes) for this

More information

Exam 1 Study Guide. Math 223 Section 12 Fall Student s Name

Exam 1 Study Guide. Math 223 Section 12 Fall Student s Name Exam 1 Study Guide Math 223 Section 12 Fall 2015 Dr. Gilbert Student s Name The following problems are designed to help you study for the first in-class exam. Problems may or may not be an accurate indicator

More information

MULTI-VARIABLE OPTIMIZATION NOTES. 1. Identifying Critical Points

MULTI-VARIABLE OPTIMIZATION NOTES. 1. Identifying Critical Points MULTI-VARIABLE OPTIMIZATION NOTES HARRIS MATH CAMP 2018 1. Identifying Critical Points Definition. Let f : R 2! R. Then f has a local maximum at (x 0,y 0 ) if there exists some disc D around (x 0,y 0 )

More information

I II III IV V VI VII VIII IX X Total

I II III IV V VI VII VIII IX X Total 1 of 16 HAND IN Answers recorded on exam paper. DEPARTMENT OF MATHEMATICS AND STATISTICS QUEEN S UNIVERSITY AT KINGSTON MATH 121/124 - APR 2018 Section 700 - CDS Students ONLY Instructor: A. Ableson INSTRUCTIONS:

More information

Calculus II Fall 2014

Calculus II Fall 2014 Calculus II Fall 2014 Lecture 3 Partial Derivatives Eitan Angel University of Colorado Monday, December 1, 2014 E. Angel (CU) Calculus II 1 Dec 1 / 13 Introduction Much of the calculus of several variables

More information

ANSWER KEY. (a) For each of the following partials derivatives, use the contour plot to decide whether they are positive, negative, or zero.

ANSWER KEY. (a) For each of the following partials derivatives, use the contour plot to decide whether they are positive, negative, or zero. Math 2130-101 Test #2 for Section 101 October 14 th, 2009 ANSWE KEY 1. (10 points) Compute the curvature of r(t) = (t + 2, 3t + 4, 5t + 6). r (t) = (1, 3, 5) r (t) = 1 2 + 3 2 + 5 2 = 35 T(t) = 1 r (t)

More information

The Sine Function. Precalculus: Graphs of Sine and Cosine

The Sine Function. Precalculus: Graphs of Sine and Cosine Concepts: Graphs of Sine, Cosine, Sinusoids, Terminology (amplitude, period, phase shift, frequency). The Sine Function Domain: x R Range: y [ 1, 1] Continuity: continuous for all x Increasing-decreasing

More information

Review Paper Geometric Configuration Optimization for Baseline Interferometry

Review Paper Geometric Configuration Optimization for Baseline Interferometry Research Jornal of Recent Sciences ISSN 2277-252 Vol. 2(5), 78-82, May (213) Res.J.Recent Sci. Reiew Paper Geometric Configration Optimization for Baseline Interferometry Abstract Aidin Gharahdaghi Amirkabir

More information

Lecture 26: Conservative Vector Fields

Lecture 26: Conservative Vector Fields Lecture 26: onservative Vector Fields 26. The line integral of a conservative vector field Suppose f : R n R is differentiable the vector field f : R n R n is continuous. Let F (x) = f(x). Then F is a

More information

2. To receive credit on any problem, you must show work that explains how you obtained your answer or you must explain how you obtained your answer.

2. To receive credit on any problem, you must show work that explains how you obtained your answer or you must explain how you obtained your answer. Math 50, Spring 2006 Test 2 PRINT your name on the back of the test. Circle your class: MW @ 11 TTh @ 2:30 Directions 1. Time limit: 50 minutes. 2. To receive credit on any problem, you must show work

More information

Partial Differentiation 1 Introduction

Partial Differentiation 1 Introduction Partial Differentiation 1 Introduction In the first part of this course you have met the idea of a derivative. To recap what this means, recall that if you have a function, z say, then the slope of the

More information

Calculus of Several Variables

Calculus of Several Variables Benjamin McKay Calculus of Several Variables Optimisation and Finance February 18, 2018 This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Preface The course is

More information

Unit 8 Trigonometry. Math III Mrs. Valentine

Unit 8 Trigonometry. Math III Mrs. Valentine Unit 8 Trigonometry Math III Mrs. Valentine 8A.1 Angles and Periodic Data * Identifying Cycles and Periods * A periodic function is a function that repeats a pattern of y- values (outputs) at regular intervals.

More information

33. Riemann Summation over Rectangular Regions

33. Riemann Summation over Rectangular Regions . iemann Summation over ectangular egions A rectangular region in the xy-plane can be defined using compound inequalities, where x and y are each bound by constants such that a x a and b y b. Let z = f(x,

More information

F13 Study Guide/Practice Exam 3

F13 Study Guide/Practice Exam 3 F13 Study Guide/Practice Exam 3 This study guide/practice exam covers only the material since exam 2. The final exam, however, is cumulative so you should be sure to thoroughly study earlier material.

More information

ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 6 - Tues 17th Oct 2017 Functions of Several Variables and Partial Derivatives

ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 6 - Tues 17th Oct 2017 Functions of Several Variables and Partial Derivatives ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 6 - Tues 17th Oct 2017 Functions of Several Variables and Partial Derivatives So far we have dealt with functions of the form y = f(x),

More information

[f(t)] 2 + [g(t)] 2 + [h(t)] 2 dt. [f(u)] 2 + [g(u)] 2 + [h(u)] 2 du. The Fundamental Theorem of Calculus implies that s(t) is differentiable and

[f(t)] 2 + [g(t)] 2 + [h(t)] 2 dt. [f(u)] 2 + [g(u)] 2 + [h(u)] 2 du. The Fundamental Theorem of Calculus implies that s(t) is differentiable and Midterm 2 review Math 265 Fall 2007 13.3. Arc Length and Curvature. Assume that the curve C is described by the vector-valued function r(r) = f(t), g(t), h(t), and that C is traversed exactly once as t

More information

A Novel Control Method for Direct Interface Converters used for DC and AC Power Supplies

A Novel Control Method for Direct Interface Converters used for DC and AC Power Supplies A Noel Control Method for Direct Interface Conerters sed for DC and AC Power Spplies Koji Kato, Jn-ichi Itoh Nagaoka Uniersity of Technology 163-1 Kamitomioka-cho Nagaoka city Niigata, Japan Tel./FAX:

More information

Review Sheet for Math 230, Midterm exam 2. Fall 2006

Review Sheet for Math 230, Midterm exam 2. Fall 2006 Review Sheet for Math 230, Midterm exam 2. Fall 2006 October 31, 2006 The second midterm exam will take place: Monday, November 13, from 8:15 to 9:30 pm. It will cover chapter 15 and sections 16.1 16.4,

More information

II IMAGE ENHANCEMENT PART A. 1. Give the PDF of uniform noise and sketch it.(april/may 2015)(Nov./Dec.2013)

II IMAGE ENHANCEMENT PART A. 1. Give the PDF of uniform noise and sketch it.(april/may 2015)(Nov./Dec.2013) UNIT II IMAGE ENANCEMENT PART A 1. Gie the PD of niform noise and sketch it.april/may 015No./Dec.013 The probability density fnction of the continos niform distribtion is:. Define and gie the transfer

More information

MATH 234 THIRD SEMESTER CALCULUS

MATH 234 THIRD SEMESTER CALCULUS MATH 234 THIRD SEMESTER CALCULUS Fall 2009 1 2 Math 234 3rd Semester Calculus Lecture notes version 0.9(Fall 2009) This is a self contained set of lecture notes for Math 234. The notes were written by

More information

Section 3: Functions of several variables.

Section 3: Functions of several variables. Section 3: Functions of several variables. Compiled by Chris Tisdell S1: Motivation S2: Function of two variables S3: Visualising and sketching S4: Limits and continuity S5: Partial differentiation S6:

More information

APLICACIÓN N DEL CONTROL EN MODO DE DESLIZAMIENTO EN SISTEMAS DE CONVERSIÓN DE ENERGÍA

APLICACIÓN N DEL CONTROL EN MODO DE DESLIZAMIENTO EN SISTEMAS DE CONVERSIÓN DE ENERGÍA 1 APLICACIÓN N DEL CONTROL EN MODO DE DESLIZAMIENTO EN SISTEMAS DE CONVERSIÓN DE ENERGÍA Domingo Biel Solé Advanced Control of Energy Systems (ACES) Institto de Organización y Control (IOC) Universitat

More information

Math Problem Set 5. Name: Neal Nelson. Show Scored View #1 Points possible: 1. Total attempts: 2

Math Problem Set 5. Name: Neal Nelson. Show Scored View #1 Points possible: 1. Total attempts: 2 Math Problem Set 5 Show Scored View #1 Points possible: 1. Total attempts: (a) The angle between 0 and 60 that is coterminal with the 69 angle is degrees. (b) The angle between 0 and 60 that is coterminal

More information

11/2/2016 Second Hourly Practice I Math 21a, Fall Name:

11/2/2016 Second Hourly Practice I Math 21a, Fall Name: 11/2/216 Second Hourly Practice I Math 21a, Fall 216 Name: MWF 9 Koji Shimizu MWF 1 Can Kozcaz MWF 1 Yifei Zhao MWF 11 Oliver Knill MWF 11 Bena Tshishiku MWF 12 Jun-Hou Fung MWF 12 Chenglong Yu TTH 1 Jameel

More information

CHARACTERIZATION OF PHOTONIC CRYSTAL FIBERS FROM FAR FIELD MEASUREMENTS

CHARACTERIZATION OF PHOTONIC CRYSTAL FIBERS FROM FAR FIELD MEASUREMENTS ornal of Microwaves and Optoelectronics, Vol., N. o 6, December. 3 CHARACTERIZATION OF PHOTONIC CRYSTAL FIBERS FROM FAR FIELD MEASREMENTS Shailendra. Varshney and R..Sinha* Dept. of Applied Physics, Delhi

More information

Wang, October 2016 Page 1 of 5. Math 150, Fall 2015 Exam 2 Form A Multiple Choice Sections 3A-5A

Wang, October 2016 Page 1 of 5. Math 150, Fall 2015 Exam 2 Form A Multiple Choice Sections 3A-5A Wang, October 2016 Page 1 of 5 Math 150, Fall 2015 Exam 2 Form A Multiple Choice Sections 3A-5A Last Name: First Name: Section Number: Student ID number: Directions: 1. No calculators, cell phones, or

More information

Independent of path Green s Theorem Surface Integrals. MATH203 Calculus. Dr. Bandar Al-Mohsin. School of Mathematics, KSU 20/4/14

Independent of path Green s Theorem Surface Integrals. MATH203 Calculus. Dr. Bandar Al-Mohsin. School of Mathematics, KSU 20/4/14 School of Mathematics, KSU 20/4/14 Independent of path Theorem 1 If F (x, y) = M(x, y)i + N(x, y)j is continuous on an open connected region D, then the line integral F dr is independent of path if and

More information

Math is Cool Masters

Math is Cool Masters Sponsored by: Algebra II January 6, 008 Individual Contest Tear this sheet off and fill out top of answer sheet on following page prior to the start of the test. GENERAL INSTRUCTIONS applying to all tests:

More information

14.6 Directional Derivatives

14.6 Directional Derivatives CHAPTER 14. PARTIAL DERIVATIVES 107 14.6 Directional Derivatives Comments. Recall that the partial derivatives can be interpreted as the derivatives along traces of f(x, y). We can reinterpret this in

More information

Math 2321 Review for Test 2 Fall 11

Math 2321 Review for Test 2 Fall 11 Math 2321 Review for Test 2 Fall 11 The test will cover chapter 15 and sections 16.1-16.5 of chapter 16. These review sheets consist of problems similar to ones that could appear on the test. Some problems

More information

Time Delay Estimation of Stochastic Signals Using Conditional Averaging

Time Delay Estimation of Stochastic Signals Using Conditional Averaging MEASUREMENT 11, Proceedings of the 8th International Conference, Smolenice, Slovakia Time Delay Estimation of Stochastic Signals Using Conditional Averaging 1 A. Kowalcyk, 1 R. Hans, 1 A. Slachta 1 Resow

More information

Calculus I Handout: Curves and Surfaces in R 3. 1 Curves in R Curves in R 2 1 of 21

Calculus I Handout: Curves and Surfaces in R 3. 1 Curves in R Curves in R 2 1 of 21 1. Curves in R 2 1 of 21 Calculus I Handout: Curves and Surfaces in R 3 Up until now, everything we have worked with has been in two dimensions. But we can extend the concepts of calculus to three dimensions

More information

Algebra/Geometry Session Problems Questions 1-20 multiple choice

Algebra/Geometry Session Problems Questions 1-20 multiple choice lgebra/geometry Session Problems Questions 1-0 multiple choice nswer only one choice: (a), (b), (c), (d), or (e) for each of the following questions. Only use a number pencil. Make heavy black marks that

More information

11.2 LIMITS AND CONTINUITY

11.2 LIMITS AND CONTINUITY 11. LIMITS AND CONTINUITY INTRODUCTION: Consider functions of one variable y = f(x). If you are told that f(x) is continuous at x = a, explain what the graph looks like near x = a. Formal definition of

More information

Directional Derivative, Gradient and Level Set

Directional Derivative, Gradient and Level Set Directional Derivative, Gradient and Level Set Liming Pang 1 Directional Derivative Te partial derivatives of a multi-variable function f(x, y), f f and, tell us te rate of cange of te function along te

More information

MAT B41 SUMMER 2018 MOCK TERM TEST - VERSION A

MAT B41 SUMMER 2018 MOCK TERM TEST - VERSION A NAME (PRINT): Last / Surname First / Given Name STUDENT #: MAT B41 SUMMER 2018 MOCK TERM TEST - VERSION A Problem MC Part II III-1 III-2 III-3 III-4 Bonus Total Points 40 12 12 12 12 12 +5 100 Score Tutorial

More information

2. Be able to evaluate a trig function at a particular degree measure. Example: cos. again, just use the unit circle!

2. Be able to evaluate a trig function at a particular degree measure. Example: cos. again, just use the unit circle! Study Guide for PART II of the Fall 18 MAT187 Final Exam NO CALCULATORS are permitted on this part of the Final Exam. This part of the Final exam will consist of 5 multiple choice questions. You will be

More information

Perpendicular Vector Displacements

Perpendicular Vector Displacements IV-3 Perpendicular Vector Displacements Although these exercises use displacement ectors, the methods can be generalized to deal with any ectors as long as you remember that you can only add or subtract

More information

AAS/AIAA Astrodynamics Specialists Conference

AAS/AIAA Astrodynamics Specialists Conference Paper AAS 5-34 COVARIANCE ANALYSIS FOR DEEP- SPACE SATELLITES WITH RADAR AND OPTICAL TRACKING DATA James G. Miller The MITRE Corporation AAS/AIAA Astrodynamics Specialists Conference Lake Tahoe, CA, Agst

More information

Lecture 15. Global extrema and Lagrange multipliers. Dan Nichols MATH 233, Spring 2018 University of Massachusetts

Lecture 15. Global extrema and Lagrange multipliers. Dan Nichols MATH 233, Spring 2018 University of Massachusetts Lecture 15 Global extrema and Lagrange multipliers Dan Nichols nichols@math.umass.edu MATH 233, Spring 2018 University of Massachusetts March 22, 2018 (2) Global extrema of a multivariable function Definition

More information

Partial derivatives and their application.

Partial derivatives and their application. Math 2080 Week 10 Page 1 Gentry Publishing Chapter 10 Partial derivatives and their application. 10.1 Partial Derivatives 10.2 Tangent Planes and slopes of surfaces. 10.3 Linear approximations and the

More information