( ) ( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( ) Math 3435 Homework Set 4 Solutions 10 Points. 1. (2 pts) First we need the gradient

Similar documents
Extrema of Functions of Several Variables

MEMORIAL UNIVERSITY OF NEWFOUNDLAND

Math Maximum and Minimum Values, I

2015 Math Camp Calculus Exam Solution

HOMEWORK 7 SOLUTIONS

Local Maximums and Local Minimums of Functions. f(x, y) has a local minimum at the point (x 0, y 0 ) if f(x 0, y 0 ) f(x, y) for

MATH 228: Calculus III (FALL 2016) Sample Problems for FINAL EXAM SOLUTIONS

EXAM 3 MAT 167 Calculus I Spring is a composite function of two functions y = e u and u = 4 x + x 2. By the. dy dx = dy du = e u x + 2x.

Vector Fields. Field (II) Field (V)

Maxima and Minima of Functions

The Distance Formula & The Midpoint Formula

4 3A : Increasing and Decreasing Functions and the First Derivative. Increasing and Decreasing. then

Lecture 9 - Increasing and Decreasing Functions, Extrema, and the First Derivative Test

The University of British Columbia Midterm 1 Solutions - February 3, 2012 Mathematics 105, 2011W T2 Sections 204, 205, 206, 211.

Daily WeBWorK. 1. Below is the graph of the derivative f (x) of a function defined on the interval (0, 8).

Math 20 Spring 2005 Final Exam Practice Problems (Set 2)

Faculty of Engineering, Mathematics and Science School of Mathematics

MATH Midterm 1 Sample 4

Section 14.8 Maxima & minima of functions of two variables. Learning outcomes. After completing this section, you will inshaallah be able to

LESSON 23: EXTREMA OF FUNCTIONS OF 2 VARIABLES OCTOBER 25, 2017

Bob Brown Math 251 Calculus 1 Chapter 4, Section 1 Completed 1 CCBC Dundalk

MAT389 Fall 2016, Problem Set 2

CALCULUS III. Paul Dawkins

Math 115 Practice for Exam 2

Extrema and the First-Derivative Test

Multivariable Calculus and Matrix Algebra-Summer 2017

Algebra & Trig Review

MATH 408N PRACTICE FINAL

f x, y x 2 y 2 2x 6y 14. Then

Maximum and Minimum Values section 4.1

LESSON 25: LAGRANGE MULTIPLIERS OCTOBER 30, 2017

Partial Derivatives Formulas. KristaKingMath.com

Lesson 29 MA Nick Egbert

Review Sheet for the Final

1 Overview. 2 A Characterization of Convex Functions. 2.1 First-order Taylor approximation. AM 221: Advanced Optimization Spring 2016

Lagrange Multipliers

CALCULUS: Math 21C, Fall 2010 Final Exam: Solutions. 1. [25 pts] Do the following series converge or diverge? State clearly which test you use.

This exam will be over material covered in class from Monday 14 February through Tuesday 8 March, corresponding to sections in the text.

MAT 122 Homework 7 Solutions

The standard form of the equation of a circle is based on the distance formula. The distance formula, in turn, is based on the Pythagorean Theorem.

Math 222 Spring 2013 Exam 3 Review Problem Answers

DIFFERENTIAL EQUATIONS First Order Differential Equations. Paul Dawkins

Lecture 5. Equations of Lines and Planes. Dan Nichols MATH 233, Spring 2018 University of Massachusetts.

VANDERBILT UNIVERSITY. MATH 2300 MULTIVARIABLE CALCULUS Practice Test 1 Solutions

LB 220 Homework 4 Solutions

MATH 417 Homework 2 Instructor: D. Cabrera Due June 23. v = e x sin y

Math 2204 Multivariable Calculus Chapter 14: Partial Derivatives Sec. 14.7: Maximum and Minimum Values

Review: critical point or equivalently f a,

Lecture 20: Further graphing

Answers for Calculus Review (Extrema and Concavity)

x + ye z2 + ze y2, y + xe z2 + ze x2, z and where T is the

Math 229 Mock Final Exam Solution

Evaluate the expression if x = 2 and y = 5 6x 2y Original problem Substitute the values given into the expression and multiply

FINAL EXAM STUDY GUIDE

Solutions to Homework 5

CALCULUS 4 QUIZ #3 REVIEW Part 2 / SPRING 09

Solutions of Math 53 Midterm Exam I

y x can be solved using the quadratic equation Y1 ( x 5), then the other is

and ( x, y) in a domain D R a unique real number denoted x y and b) = x y = {(, ) + 36} that is all points inside and on

Name: Instructor: Lecture time: TA: Section time:

Math 5311 Constrained Optimization Notes

Chapter 2 Polynomial and Rational Functions

1. Find and classify the extrema of h(x, y) = sin(x) sin(y) sin(x + y) on the square[0, π] [0, π]. (Keep in mind there is a boundary to check out).

MATH 151, FALL 2017 COMMON EXAM III - VERSION B

Math 220: Summer Midterm 1 Questions

Mean Value Theorem. MATH 161 Calculus I. J. Robert Buchanan. Summer Department of Mathematics

Updated: January 16, 2016 Calculus II 7.4. Math 230. Calculus II. Brian Veitch Fall 2015 Northern Illinois University

Math 291-3: Lecture Notes Northwestern University, Spring 2016

Mean Value Theorem. MATH 161 Calculus I. J. Robert Buchanan. Summer Department of Mathematics

Math 3435 Homework Set 11 Solutions 10 Points. x= 1,, is in the disk of radius 1 centered at origin

Increasing or Decreasing Nature of a Function

Math 210, Final Exam, Spring 2012 Problem 1 Solution. (a) Find an equation of the plane passing through the tips of u, v, and w.

MAXIMA & MINIMA The single-variable definitions and theorems relating to extermals can be extended to apply to multivariable calculus.

THE UNIVERSITY OF BRITISH COLUMBIA Sample Questions for Midterm 1 - January 26, 2012 MATH 105 All Sections

Extreme Values of Functions

Math 312 Lecture Notes Linearization

Chain Rule. MATH 311, Calculus III. J. Robert Buchanan. Spring Department of Mathematics

Statically Indeterminate Beams

Definition (The carefully thought-out calculus version based on limits).

Antiderivatives! Outline. James K. Peterson. January 28, Antiderivatives. Simple Fractional Power Antiderivatives

In a previous lesson, we solved certain quadratic equations by taking the square root of both sides of the equation.

There are additional problems on WeBWorK, under the name Study Guide Still need to know from before last exam: many things.

Math 231E, Lecture 13. Area & Riemann Sums

Math 5a Reading Assignments for Sections

= first derivative evaluated at that point: ( )

INTEGRATION: THE FUNDAMENTAL THEOREM OF CALCULUS MR. VELAZQUEZ AP CALCULUS

3.7 Constrained Optimization and Lagrange Multipliers

PALACE PIER, ST. LEONARDS. M A N A G E R - B O W A R D V A N B I E N E.

MANY BILLS OF CONCERN TO PUBLIC

MATH 2083 FINAL EXAM REVIEW The final exam will be on Wednesday, May 4 from 10:00am-12:00pm.

Math Real Analysis II

Section 4.2: The Mean Value Theorem

Antiderivatives! James K. Peterson. January 28, Department of Biological Sciences and Department of Mathematical Sciences Clemson University

2.6. Graphs of Rational Functions. Copyright 2011 Pearson, Inc.

Math 3201 UNIT 5: Polynomial Functions NOTES. Characteristics of Graphs and Equations of Polynomials Functions

Math Final Exam

Introduction. So, why did I even bother to write this?

R = { } Fill-in-the-Table with the missing vocabulary terms: 1) 2) Fill-in-the-blanks: Function

A Note on Two Different Types of Matrices and Their Applications

Induction 1 = 1(1+1) = 2(2+1) = 3(3+1) 2

Transcription:

Math Homework Set Solutions 10 Points 1. ( pts) First we need the gradient 6 F ( x,, z) = 6 + z + x x z 6 F = xz,, x + z + z F, 1, = 16,1, r t =, 1, + t 16,1, = 16 t, 1 + t, t 16 x + 1 + 1 z = 0 16x + z =. ( pts) First get all the derivatives and D. f = 6x + x + x 7 f = x 8 Find the critical points.. 6x + x + x 7= 0 x f = x + + f = x f = x xx 1 x 8 Dx, = 1x+ + x 8 16x x 8 = x = 0 = 0, x =± ± = 0 : 6x + x 7 = 0 x= = 1.67, 0.7971 6 6 x= : + = 0 =± x= : + 9 = 0 =± Finall, classif them. D( 1.67,0) = 0.9 f xx ( 0, 1.096) = 1.6 relative maximum ( ) ( ) = D 0.7971,0 = 91.8 saddle point D = 1 saddle point D, 1 saddle point. ( pts) First we need to find all the critical points. h = 10 + x h = 10x+ x x ( 10 + x)( ) = 0 10x+ x = 0 x=, x= 0, = x= : 10 = 0 = 0, x= 0 : 10 = 0 = 0, = : 10 + x = 0 x= We have a large number of critical points :

Math Homework Set Solutions 10 Points (,0, ) (,,0,0,0,, ) (,) From a quick sketch of D we can see that the three sides are given b, Bottom : = 0, x 0 Left : x=,0 8 Hp. : = x, x 0 From this we can see that onl (, ) and (0,0) lie in the region or on the boundar as (0,0) does. Now let s work through each side. Bottom : f ( x) h( x ) f ( ) =,0 = 0 = 0 No critial points So, from the bottom we get the end points (0,0) and (-,0). Note that the function will in fact be zero along the bottom of the region at ever point! Left : f = h, = 8 f = 8 = This point in is the range of for the left and so we get the critical point (-,) and the endpoints (-,0) and (-,8). Hpotenuse : f x = h x, x = 10x+ x x + 8x f x = 8 x + 1x + 0 x x=,, 0 We get three critical points on the hpotenuse (0,0), (-, 8) and (, ) along with the two points (0,0) and (-,8) from the hpotenuse (both of which are also in the critical point list ). Finall, all we need to do is plug in the various points and identif the absolute extrema. h, = 0 h 0,0 = 0 h,0 = 0 ( ) h, = h,8 = 6 h, = =.16 11 So, it looks like the absolute maximum is 0 which occurs at minimum is -6 which occurs (-,8)., and the absolute 7. ( pts) In this case all three terms of the constraint are guaranteed to be positive (because each is squared) and so x, and z must have limits on them and so absolute extrema must exist for this problem. 16x= 8λx x= 0 or λ = + + = x z 1 1 λ ( λ ) 0= λ = 0 0 = λz z =

Math Homework Set Solutions 10 Points Note that from the third equation we can see that both z and (more importantl) λ cannot be zero. This also means that, from the second equation, our onl option for is to have = 0. The first equation has two possibilities so we just need to go through each. x = 0: So, we know the values of both x and so use the third equation to find λ and hence the value of z. 1 1 0 + ( 0) + = = 1 λ λ λ =± 1 z =± 1 0,0, 1. This ields the two points ( 0,0,1 ) and λ = : In this case we know the value of and z (from the third equation) so plug these into the constraint to find the value(s) of x. 1 1 x + 0 + = x + = 1 x=± =± 0.01 16 We then have the two points ( 0.01, 0, 0.) and ( 0.01, 0, 0.). Finall, we just need to plug these values into the function to identif the absolute extrema. f 0, 0,1 = f 0, 0, 1 = f ± 0.01, 0, 0. =. The maximum is then which occurs at( 0,0,1 ) and the minimum is -. which occurs at the two points ( ± 0.01, 0, 0.). Not Graded. We need to find points on the surface for which the normal vector will be parallel to the normal vector from the plane 1, 8,. We know from Calculus II that two vectors will be parallel if one is a scalar multiple of the other. So we re looking for points where the gradient vector for the surface will be parallel to the normal vector from the plane. Or, 1 1 6 x,, 1z = c 1,8, = c,8 c, c x= c, = cz, = c 6 Now, plug these into the equation of the surface to determine values of c. 18 ( 1 ) ( 1 ) 6 c + c 6 c = 1 c = c=± 18 =± 0.60 So, it looks like we have two points (one for each c) that will work, 0.0600,1.08, 0.101 0.0600, 1.08, 0.101

Math Homework Set Solutions 10 Points. Note that I had a tpo problem on this and should have added the condition that > 0 to avoid the obvious issues at = 0 in g and of course in D. Sorr about that! First get all the derivatives and D. x g = + x 0x+ g = 1 x 6 1 x 0 6 1 xx = 6 0 x = = (, ) = x x g x g g Dx Find the critical points.. x 1 = 0 = 6x 6 ± 6x + x 0x+ = x 8x+ = 0 x = = 0.1,.1 7 x= 0.1: =.7090 = 7.87 x=.1: = 1.9 = 176.677 Finall, classif them. D( 0.1, 7.87) = 0.0601 f xx ( 0.1, 7.87) = 17.9 D(.1,176.677) = 0.00 0.1,7.87 is a saddle point. So, ( 0.1,7.87 ) is relative maximum and 6. First notice that because both the x and are raised to the th power both terms in the left side of the constraint are positive and so neither x or can be too large (i.e. the must have limits on them namel : x, ) and so absolute extrema must exist for this problem. 16x= λx = λ x + = Note that if λ = 0 then both x and are also zero and this violates the constraint. So λ 0. From the first and second equations we get, λx 16x= x( λx ) = 0 x= 0, x = λ 1 λ = ( λ 1) = 0 = 0, = λ If x=0 we get that =± =± from the constraint so the first two points we need are ( 0, ) and ( 0, ) points are (,0 ) and (,0). Likewise if =0 we get x =± =± so the next two.

Math Homework Set Solutions 10 Points Since we have now dealt with the cases of x=0 and =0 we can now assume that x 0 and 0. In this case we have the remaining case from each equation. So, plug the final two conditions into the constraint to get, + = = λ = λ =±.016 16 1 6 6 λ λ λ Note that if we use the negative λ we will get complex x and so we can ignore that one. Use the positive values gives, x x = 1.98 =± 1.087 = 0.81 =± 0.981 Because these all came from the same value of λ we can mix/match these to get the four points. 1.087, 0.981, 1.087, 0.981, 1.087, 0.981, 1.087, 0.981 Therefore, all we need to do is plug in the eight points from above into the function and note that signs on the x and won t change the answer both x and are squared. f ( 0, ± ) = f ( ±, 0) = 16 f ( ± 1.087, ± 0.981) = 16.110 So, the minimum of occurs at the two points ( 0, ± ) while the maximum of 16.110 occurs at the four points ( ± 1.087, ± 0.981). 8. In this case all three terms of the constraint are guaranteed to be positive (because each is squared) and so x, and z must have limits on them and so absolute extrema must exist for this problem. z = λx xz = 8λ x = 6λz x + + z = 6 Multipling the first equation b x, the second b and the third b z gives, xz = λx xz = 8λ xz = 6λz Setting the first and second equal as well as the first third equal gives that, λ x = 0 λ = 0 or x = λ x z = 0 λ = 0 or x = z Let s start off b assuming that λ = 0. In this case the three original equations become,

Math Homework Set Solutions 10 Points z = 0 = 0 or z = 0 xz = 0 x = 0 or z = 0 x = 0 x = 0 or = 0 Now, we can t have all three zero since that won t satisf the constraint. However, notice that if =0 then we must have either x or z be zero in order to satisf the second equation. Likewise if x=0 then either or z must be zero to satisf the first equation. Finall, if z=0 then either x or must be zero in order to satisf the third equation. So, we can t have all three be zero and we can t have onl one be zero. However, in this case, we can have two of them be zero. So, if we assume that two are zero and plug these into the constraint to solve for the third we get the following six points, ( 0,0, ± 1 ) ( 0, ±,0) ( ± 6,0,0) 1 1 Now, let s assume that λ 0. This forces = x and z = x. Plugging these into the constraint gives, x + x + x = x = 6 x=± 1 1 1 Plugging this into = x and z = x we can see that we also have = ± and z = ± and that we can have an combination of these in the coordinates and so we will get the following eight points, ( 1,, ),( 1,, ),( 1,, ),( 1,,) ( 1,, ),( 1,, ),( 1,, ),( 1,, ) Now plugging into the function isn t as bad as it looks. Let s start with these eight points. Notice that we ll get ± 1 for ever point and the sign will depend upon the number of minus signs in each term. Likewise, the first six points will all give 0 in the function. So, the absolute maximum is 1 which occurs at, ( 1,, ),( 1,, ),( 1,, ),( 1,, ) and the absolute minimum is 1 which occurs at, ( 1,, ),( 1,, ),( 1,, ),( 1,, )