5 Double Integrals over Rectangular Regions

Size: px
Start display at page:

Download "5 Double Integrals over Rectangular Regions"

Transcription

1 Chapter 7 Section 5 Doule Integrals over Rectangular Regions Doule Integrals over Rectangular Regions In Prolems 5 through 53, use the method of Lagrange multipliers to find the indicated maximum or minimum. You will need to use the graphing utility or the solve application on your calculator. 5. Maximize f(x, y) e xy x ln suject to x y Minimize f(x, y) ln (x y) suject to xy y Minimize f(x, y) suject to x y 7. x 3 xy y 53. Maximize f(x, y) suject to x y. Similarly, to evaluate xe x y y x In Chapters 5 and 6, you integrated a function of one variale f(x) y reversing the process of differentiation, and a similar procedure can e used to integrate a function of two variales f(x, y). However, since two variales are involved, we shall integrate f(x, y) y holding one variale fixed and integrating with respect to the other. For instance, to evaluate the partial integral xy dx you would integrate with respect to x, using the fundamental theorem of calculus with y held constant: xy dx x x y x () y () y 3 y xy dy, you integrate with respect to y, holding x constant: xy dy x 3 y y3 y x 3 ()3 x 3 ()3 3 x In general, partially integrating a function f(x, y) with respect to x results in a function of y alone, which can then e integrated as a function of a single variale, thus producing what we call an iterated integral f(x, y) dy dx Similarly, the iterated integral is otained y first integrating with respect to y, holding x constant, and then with respect to x. For instance, f(x, y) dx dy.

2 57 Chapter 7 Calculus of Several Variales or xy dx 3 dy y dy y3y y xy dy dx 3 x dx xx 3 x In our example, the two iterated integrals turned out to have the same value, and it can e shown that this will e true as long as the limits of integration are constants. We use this fact to define the doule integral over a rectangular region as follows: The Doule Integral over a Rectangular Region The doule integral R f(x, y) da over the rectangular region y R: a x, c y d d c a x is given y the common value of the two iterated integrals f(x, y) dy and c dx that is, f(x, y) da R a d d c d a c f(x, y) dx a dy; f(x, y) dy dx c d f(x, y) dx a dy Here is another example. EXAMPLE 5. Evaluate the doule integral xe R y da

3 Chapter 7 Section 5 Doule Integrals over Rectangular Regions 57 where R is the rectangular region x, y 5 using: (a) x integration first () y integration first Solution (a) With x integration first: 5 xe y da R () Integrating with respect to y first, you get 5 xe y da xe y dy dx R )y5 (ey 3 (e5 e ) 3 (e5 ) xe y dx dy yx x e dy x 5 ey [() () ] dy 3 ey dy y x(e y )y5 y (e 5 ) x x dx [x(e 5 e )] dx x (e5 )[() () ] 3 (e5 ) CHOOSING THE ORDER OF INTEGRATION In the examples you have seen so far, the order of integration makes little if any difference. Not only do the computations yield the same result, ut the integrations are essentially of the same level of difficulty. However, as the following example illustrates, sometimes the order does matter. EXAMPLE 5. Evaluate the doule integral xe R xy da where R is the rectangular region x, y.

4 57 Chapter 7 Calculus of Several Variales Solution If you evaluate the integral in the order it will e necessary to use integration y parts for the inner integration: Then the outer integration ecomes Now what? Any ideas? On the other hand, if you use y integration first, oth computations are easy: g(x) e xy G(x) y exy xe xy dx x exyx y x x y y exyx xe xy dy dx xe xy dx dy x y y ey y dy xe xy x f(x) x f(x) y exy dx y y ey y y y dx [e x ] dx e x xx x (e ) e e 3 APPLICATIONS OF DOUBLE INTEGRALS Recall from Section of Chapter 6 that the definite integral f(x) dx of a nonnegative function f(x) of one variale gives the area of the region under the graph of y f(x) and aove the interval a x. A analogous argument for nonnegative functions of two variales yields the following formula for volume. a Volume Formula If f(x, y) for all points (x, y) in the rectangular region R, then the solid under the graph of f and aove the region R has volume given y V f(x, y) da R

5 Chapter 7 Section 5 Doule Integrals over Rectangular Regions 573 EXAMPLE 5.3 Find the volume under the graph of f(x, y) R: x, y. and aove the rectangular region Solution Since f(x, y) for all (x, y) in R, the volume is given y the doule integral x y da x y dx dy V R y dy y x x x dy ln yy y ln.347 cuic units x y y [() () ] dy ln ln AVERAGE VALUE In Section 3 of Chapter 6, you saw that the average value of a function f(x) over an interval a x is given y the integral formula AV a That is, to find the average value of a function of one variale over an interval, you integrate the function over the interval and divide y the length of the interval. The two-variale procedure is similar. In particular, to find the average value of a function of two variales f(x, y) over a rectangular region R, you integrate the function over R and divide y the area of R. a f(x) dx Average Value Formula The average value of the function f(x, y) over the rectangular region R is given y the formula AV f(x, y) da area of RR

6 574 Chapter 7 Calculus of Several Variales EXAMPLE 5.4 In a certain factory, output is given y the Co-Douglas production function Q(K, L) 5K 3/5 L /5 where K is the capital investment in units of $, and L is the size of the laor force measured in worker-hours. Suppose that monthly capital investment varies etween $, and $,, while monthly use of laor varies etween,8 and 3, worker-hours. Find the average monthly output for the factory. Solution It is reasonale to estimate the monthly output y the average value of Q(K, L) over the rectangular region R: K,,8 L 3,. The region has area A area of R ( ) (3,,8) 8 so the average output is AV 5K 3/5 L /5 da 8R 3, 8,8 3, 8,8 8 (5) 5 3, 8 8 (5) 5 8 (8/5 8/5 ) 5 7 L3, L7/5 L,8 8 (5) (8/5 8/5 )[(3,) 7/5 (,8) 7/5 ] 5,8.3 5L /5 5 8 K8/5,8 5K 3/5 L /5 dk dl K K L /5 8/5 8/5 dl Thus, the average monthly output is approximately 5,8 units. dl

7 Chapter 7 Section 5 Doule Integrals over Rectangular Regions 575 JOINT PROBABILITY DENSITY FUNCTIONS y ; yr x ; y FIGURE 7.5 Square consisting of all points (x, y) for which x and. One of the most important applications of integration in the social, managerial, and life sciences is the computation of proailities. The technique of integrating proaility density functions to find proailities was introduced in Chapter 6, Section 4. Recall that a proaility density function for a random variale X is a nonnegative function f(x) such that the proaility that X is etween a and is given y the formula P(a X ) f(x) dx a In situations involving two random variales X and Y, you compute proailities y evaluating doule integrals of a two-variale density function. In particular, you integrate a joint proaility density function, which is a nonnegative function f(x, y) such that the proaility that X is etween a and and Y is etween c and d is given y the formula d P(a X and c Y d) The techniques for constructing joint proaility density functions from experimental data are eyond the scope of this ook and are discussed in most proaility and statistics texts. The use of doule integrals to compute proailities once the appropriate density functions are known is illustrated in the next example. EXAMPLE 5.5 Smoke detectors manufactured y a certain firm contain two independent circuits, one manufactured at the firm s California plant and the other at the firm s plant in Ohio. Reliaility studies suggest that if X measures the life span (in years) of a randomly selected circuit from the California plant and Y the life span (in years) of a randomly selected circuit from the Ohio plant, then the joint proaility density function for X and Y is f(x, y) e x e y c a d a c if x and y otherwise f(x, y) dx dy f(x, y) dy dx If the smoke detector will operate as long as either of its circuits is operating, find the proaility that a randomly selected smoke detector will fail within year. Solution Since the smoke detector will operate as long as either of its circuits is operating, it will fail within year if and only if oth of its circuits fail within year. The desired proaility is thus the proaility that oth X and Y. The points

8 576 Chapter 7 Calculus of Several Variales (x, y) for which oth these inequalities hold form the square R shown in Figure 7.5. The corresponding proaility is the doule integral of the density function f over this region R. That is, P( X and Y ).3996 e x e y dx dy (e )e y dy ex e yx x dy yy (e )e (e ) Thus, it is approximately 4% likely that a randomly selected smoke detector will fail within year. y P. R. O. B. L. E. M. S 7.5 P. R. O. B. L. E. M. S 7.5 Evaluate the following doule integrals. ln x ydxdy. x ydydx 3. xe y dx dy 4. (x y) dy dx xy x e xy dy dx x dx dy 7. x ydydx 8. x y 9. dy dx. xy y y dx dy y x x y dy dx In Prolems through 6, find the volume of the solid ounded aove y the graph of the function f(x, y) and elow y the given rectangular region R.. f(x, y) 6 x y; R has vertices (, ), (, ), (, ), (, ). f(x, y) 9 x y ; R has vertices (, ), (, ), (, ), (, )

9 Chapter 7 Section 5 Doule Integrals over Rectangular Regions f(x, y) ; R: x, y 3 xy 4. f(x, y) e xy ; R: x, y ln 5. f(x, y) xe y ; R: x, y 6. f(x, y) ( x)(4 y); R: x, y 4 In Prolems 7 through, find the average value of the function f(x, y) over the given rectangular region R. 7. f(x, y) xy(x y); R has vertices (, ), (3, ), (, ), (3, ) y 8. f(x, y) ; R has vertices (, ), (4, ), (, 3), (4, 3) x x y 9. f(x, y) xe x y ; R: x, y ln x. f(x, y) ; R: x, y 3 xy In Prolems and, evaluate the given doule integral over the specified rectangular region R. Choose the order of integration carefully. ln xy. da over R: x 3, y 5 xy R. da over R: x, y R ye xy 3. Suppose the joint proaility density function for the nonnegative random variales X and Y is f(x, y) e x e y if x and y otherwise Find the proaility that X and Y. 4. Suppose the joint proaility density function for the nonnegative random variales X and Y is f(x, y) 6 ex/ e y/3 if x, y otherwise Find the proaility that X and Y. 5. Evaluate the doule integral x e xy da, where R is the rectangular region R x, y. (Be careful how you choose the order of integration.)

10 578 Chapter 7 Calculus of Several Variales PRODUCTION PRODUCTION AVERAGE PROFIT AVERAGE RESPONSE TO STIMULI AVERAGE ELEVATION AVERAGE SURFACE AREA OF THE HUMAN BODY da 6. Evaluate the doule integral, where R is the rectangular region R xy ln x x 3, y. 7. At a certain factory, output Q is related to inputs x and y y the expression Q(x, y) x 3 3x y y 3. If x 5 and y 7, what is the average output of the factory? 8. A icycle dealer has found that if -speed icycles are sold for x dollars apiece and the price of gasoline is y cents per gallon, then approximately Q(x, y) 4x 4(.y 5) 3/ icycles will e sold each month. If the price of icycles varies etween $57 and $3 during a typical month, and the price of gasoline varies etween $.3 and $., approximately how many icycles will e sold each month? 9. A manufacturer estimates that when x units of a particular commodity are sold domestically and y units are sold to foreign markets, the profit is given y P(x, y) (x 3)(7 5x 4y) (y 4)(8 6x 7y) hundred dollars. If monthly domestic sales vary etween and 5 units and foreign sales, etween 7 and 89 units, what is the average monthly profit? 3. In a psychological experiment, x units of stimulus A and y units of stimulus B are applied to a suject, whose performance on a certain task is then measured y the function P(x, y) xye x y Suppose x varies etween and while y varies etween and 3. What is the suject s average response to the stimuli? 3. A map of a small regional park is a rectangular grid, ounded y the lines x, x 4, y, and y 3, where units are in miles. It is found that the elevation aove sea level at each point (x, y) in the park is given y E(x, y) 9(x y ) feet Find the average elevation in the park. (Rememer, mi 5,8 feet.) 3. Recall from Prolem 35, Section, that the surface area of a person s ody may e estimated y the empirical formula S(W, H).7 W.45 H.75 where W is the person s weight in kilograms, H is the person s height in centimeters, and the surface area S is measured in square meters. (a) A child weighs 3. kg and is 38 cm tall at irth, and 5 years later weighs 4 kg and is 5 cm tall. What is the average surface area of the child s ody during this period? () Suppose the child in part (a) has a stale adult weight of 8 kg and height of 8 cm. Find the average lifetime surface area of this person s ody.

11 Chapter 7 Section 5 Doule Integrals over Rectangular Regions 579 HEALTH CARE WARRANTY PROTECTION PROPERTY VALUE EXPOSURE TO DISEASE 33. Suppose the random variales X and Y measure the length of time (in days) that a patient stays in the hospital after adominal and orthopedic surgery, respectively. On Monday, the patient in ed 7A undergoes an emergency appendectomy while her roommate in ed 7B undergoes (orthopedic) surgery for the repair of torn knee cartilage. If the joint proaility density function for X and Y is f(x, y) ex/4 e y/3 what is the proaility that oth patients will e discharged from the hospital within 3 days? 34. A certain appliance consisting of two independent electronic components will e usale as long as at least one of its components is still operating. The appliance carries a warranty from the manufacturer guaranteeing replacement if the appliance ecomes unusale within year of the data of purchase. Let the random variale X measure the life span (in years) of the first component and Y measure the life span (also in years) of the second component, and suppose that the joint proaility density function for X and Y is f(x, y) 4 ex/ e y/ if x and y otherwise if x and y otherwise You purchase one of these appliances, selected at random from the manufacturer s stock. Find the proaility that the warranty will expire efore your appliance ecomes unusale. [Hint: You want the proaility that the appliance does not fail during the first year. How is this related to the proaility that the appliance does fail during this period?] 35. Suppose a particular congressional district is laid out in a rectangular grid with a city at the origin. It is estimated that the property value at the point (x, y) in the grid is given y V(x, y) 9 e x y thousand dollars, where x and 5 y 5. Find the average property value for the district. [Hint: You will not e ale to find an antiderivative for e x. Estimate the average value integral using the numeric integration feature of your calculator.] 36. The likelihood that a person with a contagious disease will infect others in a social situation may e assumed to e a function f(s) of the distance s etween individuals. Suppose contagious individuals are uniformly distriuted through a rectangular region R in the xy plane. Then the likelihood of infection for someone at the origin (, ) is proportional to the exposure index E, given y the doule integral E f(s) da R where s x y is the distance etween (, ) and (x, y),

12 58 Chapter 7 Calculus of Several Variales (a) Find E for the case where R is the square region x, y, and f(s). 9 s () Find E for the case where R is the region x, 3 y, and f(s) se 5. (c) Find E for the case where R is the region in part () ut f(s) e.5. [Hint: Use the numeric integration feature of your calculator.] In Prolems 37 through 39, use doule integration to find the required quantity. In some cases, you may need to use the numeric integration feature of your calculator. 37. Find the volume of the solid ounded aove y the graph of f(x, y) x e xy and elow y the rectangular region R: x, y Find the average value of the function f(x, y) xy ln y over the rectangular region ounded y the lines x, x, y, and y Suppose the joint proaility density function for the random variales X and Y is f(x, y) xe xy if x and y otherwise Find the proaility that (X, Y ) lies in the rectangular region R with vertices (,), (,), (,), and (,). x CHAPTER SUMMARY AND REVIEW PROBLEMS CHAPTER SUMMARY AND REVIEW PROBLEMS IMPORTANT TERMS, SYMBOLS, AND FORMULAS Function of two variales: z f(x, y) Surface Level curve: f(x, y) C Constant-production curve (isoquant) Indifference curve Partial derivatives of z f(x,y): Second-order partial derivatives: f x z x f y z y

Probability, Mean and Median

Probability, Mean and Median Proaility, Mean and Median In the last section, we considered (proaility) density functions. We went on to discuss their relationship with cumulative distriution functions. The goal of this section is

More information

Section 12.6: Directional Derivatives and the Gradient Vector

Section 12.6: Directional Derivatives and the Gradient Vector Section 26: Directional Derivatives and the Gradient Vector Recall that if f is a differentiable function of x and y and z = f(x, y), then the partial derivatives f x (x, y) and f y (x, y) give the rate

More information

Solutions to Homework 10

Solutions to Homework 10 Solutions to Homework 1 Section 7., exercise # 1 (b,d): (b) Compute the value of R f dv, where f(x, y) = y/x and R = [1, 3] [, 4]. Solution: Since f is continuous over R, f is integrable over R. Let x

More information

Linear and quadratic Taylor polynomials for functions of several variables.

Linear and quadratic Taylor polynomials for functions of several variables. ams/econ 11b supplementary notes ucsc Linear quadratic Taylor polynomials for functions of several variables. c 010, Yonatan Katznelson Finding the extreme (minimum or maximum) values of a function, is

More information

Practice Final Math 122 Spring 12 Instructor: Jeff Lang

Practice Final Math 122 Spring 12 Instructor: Jeff Lang Practice Final Math Spring Instructor: Jeff Lang. Find the limit of the sequence a n = ln (n 5) ln (3n + 8). A) ln ( ) 3 B) ln C) ln ( ) 3 D) does not exist. Find the limit of the sequence a n = (ln n)6

More information

AP Calculus AB 2003 Scoring Guidelines

AP Calculus AB 2003 Scoring Guidelines AP Calculus AB Scoring Guidelines The materials included in these files are intended for use y AP teachers for course and exam preparation; permission for any other use must e sought from the Advanced

More information

Notes on Continuous Random Variables

Notes on Continuous Random Variables Notes on Continuous Random Variables Continuous random variables are random quantities that are measured on a continuous scale. They can usually take on any value over some interval, which distinguishes

More information

Math 53 Worksheet Solutions- Minmax and Lagrange

Math 53 Worksheet Solutions- Minmax and Lagrange Math 5 Worksheet Solutions- Minmax and Lagrange. Find the local maximum and minimum values as well as the saddle point(s) of the function f(x, y) = e y (y x ). Solution. First we calculate the partial

More information

Math 432 HW 2.5 Solutions

Math 432 HW 2.5 Solutions Math 432 HW 2.5 Solutions Assigned: 1-10, 12, 13, and 14. Selected for Grading: 1 (for five points), 6 (also for five), 9, 12 Solutions: 1. (2y 3 + 2y 2 ) dx + (3y 2 x + 2xy) dy = 0. M/ y = 6y 2 + 4y N/

More information

1 Calculus of Several Variables

1 Calculus of Several Variables 1 Calculus of Several Variables Reading: [Simon], Chapter 14, p. 300-31. 1.1 Partial Derivatives Let f : R n R. Then for each x i at each point x 0 = (x 0 1,..., x 0 n) the ith partial derivative is defined

More information

Constrained optimization.

Constrained optimization. ams/econ 11b supplementary notes ucsc Constrained optimization. c 2010, Yonatan Katznelson 1. Constraints In many of the optimization problems that arise in economics, there are restrictions on the values

More information

2 Integrating Both Sides

2 Integrating Both Sides 2 Integrating Both Sides So far, the only general method we have for solving differential equations involves equations of the form y = f(x), where f(x) is any function of x. The solution to such an equation

More information

Solutions for Review Problems

Solutions for Review Problems olutions for Review Problems 1. Let be the triangle with vertices A (,, ), B (4,, 1) and C (,, 1). (a) Find the cosine of the angle BAC at vertex A. (b) Find the area of the triangle ABC. (c) Find a vector

More information

Feb 28 Homework Solutions Math 151, Winter 2012. Chapter 6 Problems (pages 287-291)

Feb 28 Homework Solutions Math 151, Winter 2012. Chapter 6 Problems (pages 287-291) Feb 8 Homework Solutions Math 5, Winter Chapter 6 Problems (pages 87-9) Problem 6 bin of 5 transistors is known to contain that are defective. The transistors are to be tested, one at a time, until the

More information

Section 4-7 Exponential and Logarithmic Equations. Solving an Exponential Equation. log 2. 3 2 log 5. log 2 1.4406

Section 4-7 Exponential and Logarithmic Equations. Solving an Exponential Equation. log 2. 3 2 log 5. log 2 1.4406 314 4 INVERSE FUNCTIONS; EXPONENTIAL AND LOGARITHMIC FUNCTIONS Section 4-7 Exponential and Logarithmic Equations Exponential Equations Logarithmic Equations Change of Base Equations involving exponential

More information

SOLUTIONS. f x = 6x 2 6xy 24x, f y = 3x 2 6y. To find the critical points, we solve

SOLUTIONS. f x = 6x 2 6xy 24x, f y = 3x 2 6y. To find the critical points, we solve SOLUTIONS Problem. Find the critical points of the function f(x, y = 2x 3 3x 2 y 2x 2 3y 2 and determine their type i.e. local min/local max/saddle point. Are there any global min/max? Partial derivatives

More information

Microeconomic Theory: Basic Math Concepts

Microeconomic Theory: Basic Math Concepts Microeconomic Theory: Basic Math Concepts Matt Van Essen University of Alabama Van Essen (U of A) Basic Math Concepts 1 / 66 Basic Math Concepts In this lecture we will review some basic mathematical concepts

More information

Math 120 Final Exam Practice Problems, Form: A

Math 120 Final Exam Practice Problems, Form: A Math 120 Final Exam Practice Problems, Form: A Name: While every attempt was made to be complete in the types of problems given below, we make no guarantees about the completeness of the problems. Specifically,

More information

Math 370, Spring 2008 Prof. A.J. Hildebrand. Practice Test 2 Solutions

Math 370, Spring 2008 Prof. A.J. Hildebrand. Practice Test 2 Solutions Math 370, Spring 008 Prof. A.J. Hildebrand Practice Test Solutions About this test. This is a practice test made up of a random collection of 5 problems from past Course /P actuarial exams. Most of the

More information

CHAPTER 13 SIMPLE LINEAR REGRESSION. Opening Example. Simple Regression. Linear Regression

CHAPTER 13 SIMPLE LINEAR REGRESSION. Opening Example. Simple Regression. Linear Regression Opening Example CHAPTER 13 SIMPLE LINEAR REGREION SIMPLE LINEAR REGREION! Simple Regression! Linear Regression Simple Regression Definition A regression model is a mathematical equation that descries the

More information

Homework 1 1. Calculus. Homework 1 Due Date: September 26 (Wednesday) 60 1.75x 220 270 160 x 280. R = 115.95x. C = 95x + 750.

Homework 1 1. Calculus. Homework 1 Due Date: September 26 (Wednesday) 60 1.75x 220 270 160 x 280. R = 115.95x. C = 95x + 750. Homework 1 1 Calculus Homework 1 Due Date: September 26 (Wednesday) 1. A doughnut shop sells a dozen doughnuts for $4.50. Beyond the fixed cost of $220 per day, it costs $2.75 for enough materials and

More information

Non-Linear Regression 2006-2008 Samuel L. Baker

Non-Linear Regression 2006-2008 Samuel L. Baker NON-LINEAR REGRESSION 1 Non-Linear Regression 2006-2008 Samuel L. Baker The linear least squares method that you have een using fits a straight line or a flat plane to a unch of data points. Sometimes

More information

8 Polynomials Worksheet

8 Polynomials Worksheet 8 Polynomials Worksheet Concepts: Quadratic Functions The Definition of a Quadratic Function Graphs of Quadratic Functions - Parabolas Vertex Absolute Maximum or Absolute Minimum Transforming the Graph

More information

Microeconomics Sept. 16, 2010 NOTES ON CALCULUS AND UTILITY FUNCTIONS

Microeconomics Sept. 16, 2010 NOTES ON CALCULUS AND UTILITY FUNCTIONS DUSP 11.203 Frank Levy Microeconomics Sept. 16, 2010 NOTES ON CALCULUS AND UTILITY FUNCTIONS These notes have three purposes: 1) To explain why some simple calculus formulae are useful in understanding

More information

Homework #2 Solutions

Homework #2 Solutions MAT Spring Problems Section.:, 8,, 4, 8 Section.5:,,, 4,, 6 Extra Problem # Homework # Solutions... Sketch likely solution curves through the given slope field for dy dx = x + y...8. Sketch likely solution

More information

8.8. Probability 8-1. Random Variables EXAMPLE 1 EXAMPLE 2

8.8. Probability 8-1. Random Variables EXAMPLE 1 EXAMPLE 2 8.8 Proaility The outcome of some events, such as a heavy rock falling from a great height, can e modeled so that we can predict with high accuracy what will happen. On the other hand, many events have

More information

Random Variables. Chapter 2. Random Variables 1

Random Variables. Chapter 2. Random Variables 1 Random Variables Chapter 2 Random Variables 1 Roulette and Random Variables A Roulette wheel has 38 pockets. 18 of them are red and 18 are black; these are numbered from 1 to 36. The two remaining pockets

More information

Department of Mathematics, Indian Institute of Technology, Kharagpur Assignment 2-3, Probability and Statistics, March 2015. Due:-March 25, 2015.

Department of Mathematics, Indian Institute of Technology, Kharagpur Assignment 2-3, Probability and Statistics, March 2015. Due:-March 25, 2015. Department of Mathematics, Indian Institute of Technology, Kharagpur Assignment -3, Probability and Statistics, March 05. Due:-March 5, 05.. Show that the function 0 for x < x+ F (x) = 4 for x < for x

More information

Solutions to Homework 5

Solutions to Homework 5 Solutions to Homework 5 1. Let z = f(x, y) be a twice continously differentiable function of x and y. Let x = r cos θ and y = r sin θ be the equations which transform polar coordinates into rectangular

More information

Math 2443, Section 16.3

Math 2443, Section 16.3 Math 44, Section 6. Review These notes will supplement not replace) the lectures based on Section 6. Section 6. i) ouble integrals over general regions: We defined double integrals over rectangles in the

More information

Multi-variable Calculus and Optimization

Multi-variable Calculus and Optimization Multi-variable Calculus and Optimization Dudley Cooke Trinity College Dublin Dudley Cooke (Trinity College Dublin) Multi-variable Calculus and Optimization 1 / 51 EC2040 Topic 3 - Multi-variable Calculus

More information

Statistics 100A Homework 7 Solutions

Statistics 100A Homework 7 Solutions Chapter 6 Statistics A Homework 7 Solutions Ryan Rosario. A television store owner figures that 45 percent of the customers entering his store will purchase an ordinary television set, 5 percent will purchase

More information

QUADRATIC EQUATIONS EXPECTED BACKGROUND KNOWLEDGE

QUADRATIC EQUATIONS EXPECTED BACKGROUND KNOWLEDGE MODULE - 1 Quadratic Equations 6 QUADRATIC EQUATIONS In this lesson, you will study aout quadratic equations. You will learn to identify quadratic equations from a collection of given equations and write

More information

FP1. HiSET TM Mathematics Practice Test

FP1. HiSET TM Mathematics Practice Test FP1 HiSET TM Mathematics Practice Test Copyright 013 Educational Testing Service. All rights reserved. E T S and the E T S logo are registered trademarks of Educational Testing Service (E T S) in the United

More information

CHAPTER 6: Continuous Uniform Distribution: 6.1. Definition: The density function of the continuous random variable X on the interval [A, B] is.

CHAPTER 6: Continuous Uniform Distribution: 6.1. Definition: The density function of the continuous random variable X on the interval [A, B] is. Some Continuous Probability Distributions CHAPTER 6: Continuous Uniform Distribution: 6. Definition: The density function of the continuous random variable X on the interval [A, B] is B A A x B f(x; A,

More information

Recognizing Types of First Order Differential Equations E. L. Lady

Recognizing Types of First Order Differential Equations E. L. Lady Recognizing Types of First Order Differential Equations E. L. Lady Every first order differential equation to be considered here can be written can be written in the form P (x, y)+q(x, y)y =0. This means

More information

Important Probability Distributions OPRE 6301

Important Probability Distributions OPRE 6301 Important Probability Distributions OPRE 6301 Important Distributions... Certain probability distributions occur with such regularity in real-life applications that they have been given their own names.

More information

Formulas and Problem Solving

Formulas and Problem Solving 2.4 Formulas and Problem Solving 2.4 OBJECTIVES. Solve a literal equation for one of its variables 2. Translate a word statement to an equation 3. Use an equation to solve an application Formulas are extremely

More information

Solving Quadratic Equations

Solving Quadratic Equations 9.3 Solving Quadratic Equations by Using the Quadratic Formula 9.3 OBJECTIVES 1. Solve a quadratic equation by using the quadratic formula 2. Determine the nature of the solutions of a quadratic equation

More information

27.3. Introduction. Prerequisites. Learning Outcomes

27.3. Introduction. Prerequisites. Learning Outcomes olume Integrals 27. Introduction In the previous two sections, surface integrals (or double integrals) were introduced i.e. functions were integrated with respect to one variable and then with respect

More information

Area & Volume. 1. Surface Area to Volume Ratio

Area & Volume. 1. Surface Area to Volume Ratio 1 1. Surface Area to Volume Ratio Area & Volume For most cells, passage of all materials gases, food molecules, water, waste products, etc. in and out of the cell must occur through the plasma membrane.

More information

Math 370, Actuarial Problemsolving Spring 2008 A.J. Hildebrand. Practice Test, 1/28/2008 (with solutions)

Math 370, Actuarial Problemsolving Spring 2008 A.J. Hildebrand. Practice Test, 1/28/2008 (with solutions) Math 370, Actuarial Problemsolving Spring 008 A.J. Hildebrand Practice Test, 1/8/008 (with solutions) About this test. This is a practice test made up of a random collection of 0 problems from past Course

More information

Counting Primes whose Sum of Digits is Prime

Counting Primes whose Sum of Digits is Prime 2 3 47 6 23 Journal of Integer Sequences, Vol. 5 (202), Article 2.2.2 Counting Primes whose Sum of Digits is Prime Glyn Harman Department of Mathematics Royal Holloway, University of London Egham Surrey

More information

Understanding Basic Calculus

Understanding Basic Calculus Understanding Basic Calculus S.K. Chung Dedicated to all the people who have helped me in my life. i Preface This book is a revised and expanded version of the lecture notes for Basic Calculus and other

More information

7 CONTINUOUS PROBABILITY DISTRIBUTIONS

7 CONTINUOUS PROBABILITY DISTRIBUTIONS 7 CONTINUOUS PROBABILITY DISTRIBUTIONS Chapter 7 Continuous Probability Distributions Objectives After studying this chapter you should understand the use of continuous probability distributions and the

More information

Handout for three day Learning Curve Workshop

Handout for three day Learning Curve Workshop Handout for three day Learning Curve Workshop Unit and Cumulative Average Formulations DAUMW (Credits to Professors Steve Malashevitz, Bo Williams, and prior faculty. Blame to Dr. Roland Kankey, [email protected])

More information

Ratios (pages 288 291)

Ratios (pages 288 291) A Ratios (pages 2 29) A ratio is a comparison of two numbers by division. Ratio Arithmetic: to : Algebra: a to b a:b a b When you write a ratio as a fraction, write it in simplest form. Two ratios that

More information

Math 370/408, Spring 2008 Prof. A.J. Hildebrand. Actuarial Exam Practice Problem Set 3 Solutions

Math 370/408, Spring 2008 Prof. A.J. Hildebrand. Actuarial Exam Practice Problem Set 3 Solutions Math 37/48, Spring 28 Prof. A.J. Hildebrand Actuarial Exam Practice Problem Set 3 Solutions About this problem set: These are problems from Course /P actuarial exams that I have collected over the years,

More information

MULTIPLE INTEGRALS. h 2 (y) are continuous functions on [c, d] and let f(x, y) be a function defined on R. Then

MULTIPLE INTEGRALS. h 2 (y) are continuous functions on [c, d] and let f(x, y) be a function defined on R. Then MULTIPLE INTEGALS 1. ouble Integrals Let be a simple region defined by a x b and g 1 (x) y g 2 (x), where g 1 (x) and g 2 (x) are continuous functions on [a, b] and let f(x, y) be a function defined on.

More information

Name: Date: 2. Find the input of the function f() corresponding to the output f() t = 3to

Name: Date: 2. Find the input of the function f() corresponding to the output f() t = 3to Name: Date: 1. Find the input of the function f( x) = 8 x+7 corresponding to the output f( x ) = 5.. Find the input of the function f() t = 48 corresponding to the output f() t = 3to t e +1 three decimal

More information

Consumer Theory. The consumer s problem

Consumer Theory. The consumer s problem Consumer Theory The consumer s problem 1 The Marginal Rate of Substitution (MRS) We define the MRS(x,y) as the absolute value of the slope of the line tangent to the indifference curve at point point (x,y).

More information

2 Applications to Business and Economics

2 Applications to Business and Economics 2 Applications to Business and Economics APPLYING THE DEFINITE INTEGRAL 442 Chapter 6 Further Topics in Integration In Section 6.1, you saw that area can be expressed as the limit of a sum, then evaluated

More information

Class Meeting # 1: Introduction to PDEs

Class Meeting # 1: Introduction to PDEs MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u = u(x

More information

correct-choice plot f(x) and draw an approximate tangent line at x = a and use geometry to estimate its slope comment The choices were:

correct-choice plot f(x) and draw an approximate tangent line at x = a and use geometry to estimate its slope comment The choices were: Topic 1 2.1 mode MultipleSelection text How can we approximate the slope of the tangent line to f(x) at a point x = a? This is a Multiple selection question, so you need to check all of the answers that

More information

1.1 Practice Worksheet

1.1 Practice Worksheet Math 1 MPS Instructor: Cheryl Jaeger Balm 1 1.1 Practice Worksheet 1. Write each English phrase as a mathematical expression. (a) Three less than twice a number (b) Four more than half of a number (c)

More information

4 More Applications of Definite Integrals: Volumes, arclength and other matters

4 More Applications of Definite Integrals: Volumes, arclength and other matters 4 More Applications of Definite Integrals: Volumes, arclength and other matters Volumes of surfaces of revolution 4. Find the volume of a cone whose height h is equal to its base radius r, by using the

More information

How To Factor By Gcf In Algebra 1.5

How To Factor By Gcf In Algebra 1.5 7-2 Factoring by GCF Warm Up Lesson Presentation Lesson Quiz Algebra 1 Warm Up Simplify. 1. 2(w + 1) 2. 3x(x 2 4) 2w + 2 3x 3 12x Find the GCF of each pair of monomials. 3. 4h 2 and 6h 2h 4. 13p and 26p

More information

PRACTICE FINAL. Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 10cm.

PRACTICE FINAL. Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 10cm. PRACTICE FINAL Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 1cm. Solution. Let x be the distance between the center of the circle

More information

5-3 Polynomial Functions. not in one variable because there are two variables, x. and y

5-3 Polynomial Functions. not in one variable because there are two variables, x. and y y. 5-3 Polynomial Functions State the degree and leading coefficient of each polynomial in one variable. If it is not a polynomial in one variable, explain why. 1. 11x 6 5x 5 + 4x 2 coefficient of the

More information

MATH 425, PRACTICE FINAL EXAM SOLUTIONS.

MATH 425, PRACTICE FINAL EXAM SOLUTIONS. MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator

More information

PROBLEM SET. Practice Problems for Exam #1. Math 1352, Fall 2004. Oct. 1, 2004 ANSWERS

PROBLEM SET. Practice Problems for Exam #1. Math 1352, Fall 2004. Oct. 1, 2004 ANSWERS PROBLEM SET Practice Problems for Exam # Math 352, Fall 24 Oct., 24 ANSWERS i Problem. vlet R be the region bounded by the curves x = y 2 and y = x. A. Find the volume of the solid generated by revolving

More information

4. Continuous Random Variables, the Pareto and Normal Distributions

4. Continuous Random Variables, the Pareto and Normal Distributions 4. Continuous Random Variables, the Pareto and Normal Distributions A continuous random variable X can take any value in a given range (e.g. height, weight, age). The distribution of a continuous random

More information

(b)using the left hand end points of the subintervals ( lower sums ) we get the aprroximation

(b)using the left hand end points of the subintervals ( lower sums ) we get the aprroximation (1) Consider the function y = f(x) =e x on the interval [, 1]. (a) Find the area under the graph of this function over this interval using the Fundamental Theorem of Calculus. (b) Subdivide the interval

More information

Polynomials. Key Terms. quadratic equation parabola conjugates trinomial. polynomial coefficient degree monomial binomial GCF

Polynomials. Key Terms. quadratic equation parabola conjugates trinomial. polynomial coefficient degree monomial binomial GCF Polynomials 5 5.1 Addition and Subtraction of Polynomials and Polynomial Functions 5.2 Multiplication of Polynomials 5.3 Division of Polynomials Problem Recognition Exercises Operations on Polynomials

More information

Math 115 Extra Problems for 5.5

Math 115 Extra Problems for 5.5 Math 115 Extra Problems for 5.5 1. The sum of two positive numbers is 48. What is the smallest possible value of the sum of their squares? Solution. Let x and y denote the two numbers, so that x + y 48.

More information

Math 1B, lecture 5: area and volume

Math 1B, lecture 5: area and volume Math B, lecture 5: area and volume Nathan Pflueger 6 September 2 Introduction This lecture and the next will be concerned with the computation of areas of regions in the plane, and volumes of regions in

More information

MULTIVARIATE PROBABILITY DISTRIBUTIONS

MULTIVARIATE PROBABILITY DISTRIBUTIONS MULTIVARIATE PROBABILITY DISTRIBUTIONS. PRELIMINARIES.. Example. Consider an experiment that consists of tossing a die and a coin at the same time. We can consider a number of random variables defined

More information

L 2 : x = s + 1, y = s, z = 4s + 4. 3. Suppose that C has coordinates (x, y, z). Then from the vector equality AC = BD, one has

L 2 : x = s + 1, y = s, z = 4s + 4. 3. Suppose that C has coordinates (x, y, z). Then from the vector equality AC = BD, one has The line L through the points A and B is parallel to the vector AB = 3, 2, and has parametric equations x = 3t + 2, y = 2t +, z = t Therefore, the intersection point of the line with the plane should satisfy:

More information

DERIVATIVES AS MATRICES; CHAIN RULE

DERIVATIVES AS MATRICES; CHAIN RULE DERIVATIVES AS MATRICES; CHAIN RULE 1. Derivatives of Real-valued Functions Let s first consider functions f : R 2 R. Recall that if the partial derivatives of f exist at the point (x 0, y 0 ), then we

More information

Continuous Random Variables

Continuous Random Variables Chapter 5 Continuous Random Variables 5.1 Continuous Random Variables 1 5.1.1 Student Learning Objectives By the end of this chapter, the student should be able to: Recognize and understand continuous

More information

Chapter 28 Fluid Dynamics

Chapter 28 Fluid Dynamics Chapter 28 Fluid Dynamics 28.1 Ideal Fluids... 1 28.2 Velocity Vector Field... 1 28.3 Mass Continuity Equation... 3 28.4 Bernoulli s Principle... 4 28.5 Worked Examples: Bernoulli s Equation... 7 Example

More information

The sample space for a pair of die rolls is the set. The sample space for a random number between 0 and 1 is the interval [0, 1].

The sample space for a pair of die rolls is the set. The sample space for a random number between 0 and 1 is the interval [0, 1]. Probability Theory Probability Spaces and Events Consider a random experiment with several possible outcomes. For example, we might roll a pair of dice, flip a coin three times, or choose a random real

More information

Calculus 1: Sample Questions, Final Exam, Solutions

Calculus 1: Sample Questions, Final Exam, Solutions Calculus : Sample Questions, Final Exam, Solutions. Short answer. Put your answer in the blank. NO PARTIAL CREDIT! (a) (b) (c) (d) (e) e 3 e Evaluate dx. Your answer should be in the x form of an integer.

More information

Derive 5: The Easiest... Just Got Better!

Derive 5: The Easiest... Just Got Better! Liverpool John Moores University, 1-15 July 000 Derive 5: The Easiest... Just Got Better! Michel Beaudin École de Technologie Supérieure, Canada Email; [email protected] 1. Introduction Engineering

More information

2.1 Increasing, Decreasing, and Piecewise Functions; Applications

2.1 Increasing, Decreasing, and Piecewise Functions; Applications 2.1 Increasing, Decreasing, and Piecewise Functions; Applications Graph functions, looking for intervals on which the function is increasing, decreasing, or constant, and estimate relative maxima and minima.

More information

Limits and Continuity

Limits and Continuity Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function

More information

Math 461 Fall 2006 Test 2 Solutions

Math 461 Fall 2006 Test 2 Solutions Math 461 Fall 2006 Test 2 Solutions Total points: 100. Do all questions. Explain all answers. No notes, books, or electronic devices. 1. [105+5 points] Assume X Exponential(λ). Justify the following two

More information

13.5. Click here for answers. Click here for solutions. CURL AND DIVERGENCE. 17. F x, y, z x i y j x k. 2. F x, y, z x 2z i x y z j x 2y k

13.5. Click here for answers. Click here for solutions. CURL AND DIVERGENCE. 17. F x, y, z x i y j x k. 2. F x, y, z x 2z i x y z j x 2y k SECTION CURL AND DIVERGENCE 1 CURL AND DIVERGENCE A Click here for answers. S Click here for solutions. 1 15 Find (a the curl and (b the divergence of the vector field. 1. F x, y, xy i y j x k. F x, y,

More information

Definition: Suppose that two random variables, either continuous or discrete, X and Y have joint density

Definition: Suppose that two random variables, either continuous or discrete, X and Y have joint density HW MATH 461/561 Lecture Notes 15 1 Definition: Suppose that two random variables, either continuous or discrete, X and Y have joint density and marginal densities f(x, y), (x, y) Λ X,Y f X (x), x Λ X,

More information

Homework #1 Solutions

Homework #1 Solutions MAT 303 Spring 203 Homework # Solutions Problems Section.:, 4, 6, 34, 40 Section.2:, 4, 8, 30, 42 Section.4:, 2, 3, 4, 8, 22, 24, 46... Verify that y = x 3 + 7 is a solution to y = 3x 2. Solution: From

More information

Lecture 6: Discrete & Continuous Probability and Random Variables

Lecture 6: Discrete & Continuous Probability and Random Variables Lecture 6: Discrete & Continuous Probability and Random Variables D. Alex Hughes Math Camp September 17, 2015 D. Alex Hughes (Math Camp) Lecture 6: Discrete & Continuous Probability and Random September

More information

MATH 10034 Fundamental Mathematics IV

MATH 10034 Fundamental Mathematics IV MATH 0034 Fundamental Mathematics IV http://www.math.kent.edu/ebooks/0034/funmath4.pdf Department of Mathematical Sciences Kent State University January 2, 2009 ii Contents To the Instructor v Polynomials.

More information

MATH 132: CALCULUS II SYLLABUS

MATH 132: CALCULUS II SYLLABUS MATH 32: CALCULUS II SYLLABUS Prerequisites: Successful completion of Math 3 (or its equivalent elsewhere). Math 27 is normally not a sufficient prerequisite for Math 32. Required Text: Calculus: Early

More information

ENTRY LEVEL MATHEMATICS TEST

ENTRY LEVEL MATHEMATICS TEST ENTRY LEVEL MATHEMATICS TEST Copyright 0 by the Trustees of the California State University. All rights reserved. C Geometry Reference Formulas Rectangle w Area = w Perimeter = + w l Triangle h Area =

More information

x 2 y 2 +3xy ] = d dx dx [10y] dy dx = 2xy2 +3y

x 2 y 2 +3xy ] = d dx dx [10y] dy dx = 2xy2 +3y MA7 - Calculus I for thelife Sciences Final Exam Solutions Spring -May-. Consider the function defined implicitly near (,) byx y +xy =y. (a) [7 points] Use implicit differentiation to find the derivative

More information

2008 AP Calculus AB Multiple Choice Exam

2008 AP Calculus AB Multiple Choice Exam 008 AP Multiple Choice Eam Name 008 AP Calculus AB Multiple Choice Eam Section No Calculator Active AP Calculus 008 Multiple Choice 008 AP Calculus AB Multiple Choice Eam Section Calculator Active AP Calculus

More information

Fundamental Theorems of Vector Calculus

Fundamental Theorems of Vector Calculus Fundamental Theorems of Vector Calculus We have studied the techniques for evaluating integrals over curves and surfaces. In the case of integrating over an interval on the real line, we were able to use

More information

Mark Howell Gonzaga High School, Washington, D.C.

Mark Howell Gonzaga High School, Washington, D.C. Be Prepared for the Calculus Exam Mark Howell Gonzaga High School, Washington, D.C. Martha Montgomery Fremont City Schools, Fremont, Ohio Practice exam contributors: Benita Albert Oak Ridge High School,

More information

Chapter 3 Review Math 1030

Chapter 3 Review Math 1030 Section A.1: Three Ways of Using Percentages Using percentages We can use percentages in three different ways: To express a fraction of something. For example, A total of 10, 000 newspaper employees, 2.6%

More information

Substitute 4 for x in the function, Simplify.

Substitute 4 for x in the function, Simplify. Page 1 of 19 Review of Eponential and Logarithmic Functions An eponential function is a function in the form of f ( ) = for a fied ase, where > 0 and 1. is called the ase of the eponential function. The

More information

TOPIC 4: DERIVATIVES

TOPIC 4: DERIVATIVES TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the

More information

Particular Solutions. y = Ae 4x and y = 3 at x = 0 3 = Ae 4 0 3 = A y = 3e 4x

Particular Solutions. y = Ae 4x and y = 3 at x = 0 3 = Ae 4 0 3 = A y = 3e 4x Particular Solutions If the differential equation is actually modeling something (like the cost of milk as a function of time) it is likely that you will know a specific value (like the fact that milk

More information

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.

PUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5. PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include

More information

Section 0.3 Power and exponential functions

Section 0.3 Power and exponential functions Section 0.3 Power and eponential functions (5/6/07) Overview: As we will see in later chapters, man mathematical models use power functions = n and eponential functions =. The definitions and asic properties

More information

= δx x + δy y. df ds = dx. ds y + xdy ds. Now multiply by ds to get the form of the equation in terms of differentials: df = y dx + x dy.

= δx x + δy y. df ds = dx. ds y + xdy ds. Now multiply by ds to get the form of the equation in terms of differentials: df = y dx + x dy. ERROR PROPAGATION For sums, differences, products, and quotients, propagation of errors is done as follows. (These formulas can easily be calculated using calculus, using the differential as the associated

More information

tegrals as General & Particular Solutions

tegrals as General & Particular Solutions tegrals as General & Particular Solutions dy dx = f(x) General Solution: y(x) = f(x) dx + C Particular Solution: dy dx = f(x), y(x 0) = y 0 Examples: 1) dy dx = (x 2)2 ;y(2) = 1; 2) dy ;y(0) = 0; 3) dx

More information

Section 14.4 Chain Rules with two variables

Section 14.4 Chain Rules with two variables Section 14.4 Chain Rules with two variables (3/23/08) Overview: In this section we discuss procedures for differentiating composite functions with two variables. Then we consider second-order and higher-order

More information

Overview of Monte Carlo Simulation, Probability Review and Introduction to Matlab

Overview of Monte Carlo Simulation, Probability Review and Introduction to Matlab Monte Carlo Simulation: IEOR E4703 Fall 2004 c 2004 by Martin Haugh Overview of Monte Carlo Simulation, Probability Review and Introduction to Matlab 1 Overview of Monte Carlo Simulation 1.1 Why use simulation?

More information

FACTORING OUT COMMON FACTORS

FACTORING OUT COMMON FACTORS 278 (6 2) Chapter 6 Factoring 6.1 FACTORING OUT COMMON FACTORS In this section Prime Factorization of Integers Greatest Common Factor Finding the Greatest Common Factor for Monomials Factoring Out the

More information

Section 5.1 Continuous Random Variables: Introduction

Section 5.1 Continuous Random Variables: Introduction Section 5. Continuous Random Variables: Introduction Not all random variables are discrete. For example:. Waiting times for anything (train, arrival of customer, production of mrna molecule from gene,

More information