. n SECTION 14.8 LAGRANGE MULTIPLIERS 0 229 55. Note that here the variables are m and b, and f{m, b) = :L: [y,- (mxi +b)] . Then /m. = :L: - 2xi [Vi - (mxi + b)J = 0 . i =l i=l n. · n n n · n implies :L: (x•Y•- mx; - bxi) = 0 or .:L: XiYi = m .:L: x~ + b .:L: Xi and fb = :L: -2[yi- (mxi +b)] = 0 implies i= l t. = l \=1 •=1 1.=1 n n n (n ) .~ Yi = m i~l Xi + i~l b = m i~t Xi + nb. Thus we have the two desir<strong>ed</strong> equations. 1 n n n . Now fmm = :L: 2x~, fbb = :L: 2 = 2n and fmb = :L: 2Xi. And fmm{m, b) > 0 always and i =l i = l i= l 2 n equations do inde<strong>ed</strong> minimize f= d;. i = 1 14.8 Lagrange Multipliers 1. At the extreme val';les off, the level curves off just touch the curve g(x, y) = 8 with a common tangent line. (See Figure I and the accompanying discussion.) We can observe several such occurrenc~ on the contour map, but the level curve f(x, y) = c with the largest value of c which still intersects the curve g(x, y) = 8 is approximately c =59, and the smallest value of c corresponding to a level curve which intersects g(x, y) = 8 appears to be c = 30. Thus we estimate the maximum value off subject to the constraint g(xj y) = 8 to be about 59 and the minimum to be 30. 3. f(x, y) = x 2 + y 2 , g(x, y) = xy = 1, and \1 f = >.. \lg => (2x, 2y) = (>..y, >..x), so 2x = >..y, 2y = >..x, and xy = 1. From the last equation, x =I= 0 andy =I= 0, so 2x = >.y => >.. = 2xjy. Substituting, we have 2y = (2xjy) x => y 2 = x 2 => y = ±x. But xy = 1, so X= y = ± 1 and the possible points for the extreme values off are {1, 1) and ( -1, - 1). Here there is no maximum value, since the constraint xy = 1 allows x or y to become arbil:(arily large, and hence f(x, y) = x 2 + y 2 can be made arbitrarily large. The mi~imum value is !{1, 1) = f( - 1, -1) = 2. 5. f(x, y) = y 2 - x 2 , g(x, y) = tx + 2 y 2 = 1, and \1 f = >.\lg => {-2x, 2y) = (t>..x, 2>..y), so -2x = t>.x, 2y = 2>..y, and ix 2 + y 2 = 1. From the first equation we have x{ 4 + >..) = 0 => x = 0 or>. = - 4. If x = 0 then the third equation gives y = ±1. If), = - 4 then the second equation gives 2y = -8y => y = 0, and substituting into the third equation, we have x = ±2. Thus the possible extreme values off occur at the points (0, ± 1) and (± 2, 0). Evaluating fat these points, we see that the maximum value is f{O, ± 1) = 1 and the minimum is !{±2, 0) = -4. 7. f(x, y, z) = 2x + 2y + z, g(x, y, z) = x 2 + y 2 + z 2 = 9, and \1 f = >.. \1 g => (2, 2, 1) = (2>..x, 2>..y, 2>.z), so 2>.x = 2, 2>.y = 2, 2)..z = 1, and x 2 + y 2 + z 2 = 9. The first three equations imply x = l• y = ·l· and z = 2 \ . ~ut substitution into 2 2 the fourth equation gives (l)2 + ( l) + ( \ ) = 9 2 => 9 - 4).. 2 = 9 => ).. = ±t, so f has possible extreme values at © 2012 Ccngogc Learning. All Rights Rcsc:rvcd. May not be = n<strong>ed</strong>. co pi~ ; or duplicat<strong>ed</strong>, or post<strong>ed</strong> to a publicly occ~ssib l c website, in whole or in p3r1.
230 0 CHAPTER 14 PARTIAL DERIVATIVES the points (2, 2, 1) ~nd ( - 2, - 2, - 1). The maximum value off on x 2 + y 2 + z 2 = 9 is f(2, 2, 1) = 9, and the minimum is J( -2, -2, - 1) = - 9. 9. f(x, y, z) = xyz, g(x, y, z) = x 2 + 2y 2 '+ 3z 2 = 6. V f = >. Vg =:. (yz, xz, x y) = .>. {2x, 4y, Gz). If any ofx, y, or z is zero then x = y = z = 0 which contradicts x 2 + 2y 2 + 3z 2 = 6. Then.>.= (yz) /(,2x) = '(xz)/ (4y) = (xy)/(6z) or x 2 = 2y 2 and z 2 = ~y 2 . Thus x 2 + 2y 2 + 3z 2 = 6 implies 6y 2 = 6 or y = ±1. Then the possible points are ( .,/2, ±1, /j), (.,/2, ±1, -/j), (-.,/2, ± 1, /j), (- .,/2,±1,-/j). The maximum valu~ off on the ellipsoid is -J:i, occurring when all coordinates are positive or exactly two are negative and the minimum is -7a occurring when 1 or 3 of the coordinates are negative. 11. f(x,y,z) = x 2 +y 2 +z 2 , g(x,y, z) = x~ +y 4 + z 4 = 1 =? Vf = (2x,2y,2z)~ >.Vg = (4>.x 3 , 4>.y 3 ,4>.z 3 ). Case 1: lf x f. 0, y f. 0 and z f. 0, then V f = >. Vg implies.>. = l /(2x 2 ) = 1/(2y 2 ) = l /(2z 2 ) or x 2 = y 2 = z 2 and giving the points (±-L -L -L) (±-L _ _!_ -L) (±-L -L _ _!_) (±-L _ _!_ _ _!_) 3x 4 = 1 or x = ± - 1 - V3 VJ' VS' V3 ' · VJ' VS' V3 ' VS' VJ ' V3 ' VJ' W' V3 all with an !-value of v'3. Case 2: If one of the variables equals zero and the other two are not zero, then the squares of the two nonzero coordinates are equal with common value ~ and corresponding f value of .,/2. Case 3: If exactly two of the variables are zero, then the third variable has value ± 1 with the corresponding f value ofl. Thus on x 4 + y' 1 + z 4 = 1, the maximum value off is y'3 and the minimum value is 1. 13. f(x, y, z, t) = X -1- y -1- Z -1- t, g(x, y, z, t) = x 2 -1- y 2 -1- z 2 -1- e = 1 => (1, 1, 1, 1) = (2>.x, 2).y, 2).z, 2>.t), SO ). = 1/(2x) = 1/(2y) = 1/(2z) = 1/(2t) and x = y ~ z = t. But x 2 -1- y 2 -1- z 2 -1- t2 = 1, so the possible points are (±~ , ±~, ±~, ±~). Thus the maximum value off is f(~, ~~ ~~ t) = 2 and the minimum value is 15. f(x,y, z) = x + 2y, g(x,y,z) = x +y + z = 1, h(x,y, z ) = y 2 + z 2 = 4 =:. Vf = (1,2,0), .>.Vg = (>.,>., >.) and p.Vh = (0, 2p.y, 2p.z). Then 1 = .>., 2 = .>. + 2p.y and 0 = >. + 2~tz so p.y = ~ = - p.z or y = 1/ (2p.), z = -1/ (2p.). Thus x + y + z = 1 implies x = 1 and y 2 + z 2 = 4 implies p. =±~.Then the possible points are (1, ±.J2, =FV2) and the'mfJ.Ximum value is f (1, .J2, -.J2) = 1 + 2 .J2 and the minimum value is f (1, - .,/2, .J2) = 1 - 2 .J2. 17. f(x, y, z ) = yz + xy, g(x, y , z ) = xy = 1, h(x, y, z) = y 2 + z 2 = 1 =:. V f = (y, x + z, y), >.Vg = (.>.y, >.x, 0), p.Vh = (0, 2p.y, 2p.z). Then y = >.y implies>. = 1 [y f. 0 since g(x, y, z) = 1], x + z = .>.x + 2p.y andy= 2p.z. Thus p. = z/(2y) = y/(2y) or y 2 = z 2 , and so y 2 + z 2 = 1 implies y = ±72, z = ±72. Then xy = 1 implies x = ±.J2 and © 2012 Ccng.agc Learning. All Rights Rescr\'cd. M:1y not be sc:mncd, copic:c.l, or duplicotcd, or post<strong>ed</strong> to u publicly occcssiblc website, in wll(>Je or in po1rt.
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- STUDENT SOLUTIONS MANUAL for STEW
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.. BROOKS/COLE ~ I ~~r CENGAGE Lear
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D ABBREVIATIONS AND SYMBOLS CD cu D
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viii o CONTENTS 12.4 The Cross Prod
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10 D PARAMETRIC EQUATIONS AND POLAR
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SECTION 10.1 CURVES DEFINED BY PARA
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SECTION 10.1 CURVES DEFINED BY PARA
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SECTION 10.2 CALCULUS WITH PARAMETR
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x2 y2 y2 a:2 _ a2 b 61. ;_2 - - = 1
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CHAPTER 10 REVIEW 0 35 the length o
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CHAPTER 10 REVIEW 0 37 EXERCISES 1.
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0 PROBLEMS PLUS l lt sin u dx cost
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11 . D INFINITE SEQUENCES AND SERIE
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61 _ x_ x · sin x - x- tx 3 + 1~
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49./- 1 - dx = -ln{4- x) + C and 4-
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CHAPTER 16 REVIEW 0 339 TRUE-FALSE
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0 APPENDIX Appendix H Complex Numbe
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APPENDIX H COMPLEX NUMBERS 0 361 43