Math 241 Quiz Solution: Finding Maxima and Minima with Lagrange Multipliers - Prof. M. Boy, Quizzes of Calculus

The solution to quiz problem 14.8 #5 in math 241, which involves using lagrange multipliers to find the maximum and minimum values of the function f(x, y) = x^2y subject to the constraint g(x, y) = x^2 + 2y^2 = 6. The document shows the steps to find the critical points and evaluates the function at these points to determine the maximum and minimum values.

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2010/2011

Uploaded on 10/24/2011

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Math 241, Quiz 9. 10/24/11. Name:
Read problems carefully. Show all work. No notes, calculator, or text.
There are 15 points total.
§14.8, #5 (15 points): Use Lagrange multipliers to find the maximum and minimum values of the
function f(x, y) = x2ysubject to the constraint g(x, y) = x2+ 2y2= 6.Show your work.
Solution: We compute
f(x, y) = h2xy, x2i, g(x, y) = h2x, 4yi.
Setting f(x, y) = λg(x, y ), we solve the system
2xy = 2λx, x2= 4λy, g(x, y ) = x2+ 2y2= 6.
First, we have
2xy = 2λx =x(yλ) = 0 =x= 0 or y=λ.
1. Suppose that x= 0. Substituting in x2= 4λy yields λy = 0. Hence, we have λ= 0 or
y= 0.
(a) If y= 0, then we have g(x, y) = g(0,0) = 6 since x= 0 also, a contradiction. So
f(x, y)does not have a max or min at (0,0).
(b) If λ= 0, we only get more information from g(x, y ) = g(0, y)=6. In particular,
2y2= 6 implies that y=±3. Therefore, f(x, y)may have a max or min at (0,±3).
2. Suppose that y=λ. Substituting in x2= 4λy gives x2= 4y2, which implies that x=±2y.
Substituting x2= 4y2in g(x, y) = 6 gives x2+ 2y2= 4y2+ 2y2= 6y2= 6, which holds
if and only if y=±1. Since x=±2y, we find that f(x, y )may have a max or min at the
points (±2,1) and (±2,1).
It remains to evaluate f(x, y) = x2yat the six points where f(x, y)could have a max or min. We
find that
f(0,±3) = 0, f(±2,1) = 4, f(±2,1) = 4.
It follows that f(x, y)has a max at (±2,1) and a min at (±2,1).

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Math 241, Quiz 9. 10/24/11. Name:

  • Read problems carefully. Show all work. No notes, calculator, or text.
  • There are 15 points total.

§14.8, #5 (15 points): Use Lagrange multipliers to find the maximum and minimum values of the

function f (x, y) = x^2 y subject to the constraint g(x, y) = x^2 + 2y^2 = 6. Show your work.

Solution: We compute

∇f (x, y) = 〈 2 xy, x 2 〉, g(x, y) = 〈 2 x, 4 y〉.

Setting ∇f (x, y) = λg(x, y), we solve the system

2 xy = 2λx, x 2 = 4λy, g(x, y) = x 2

  • 2y 2 = 6.

First, we have

2 xy = 2λx =⇒ x(y − λ) = 0 =⇒ x = 0 or y = λ.

  1. Suppose that x = 0. Substituting in x^2 = 4λy yields λy = 0. Hence, we have λ = 0 or y = 0.

(a) If y = 0, then we have g(x, y) = g(0, 0) = 6 since x = 0 also, a contradiction. So f (x, y) does not have a max or min at (0, 0).

(b) If λ = 0, we only get more information from g(x, y) = g(0, y) = 6. In particular, 2 y^2 = 6 implies that y = ±

  1. Therefore, f (x, y) may have a max or min at (0, ±
  1. Suppose that y = λ. Substituting in x 2 = 4λy gives x 2 = 4y 2 , which implies that x = ± 2 y. Substituting x^2 = 4y^2 in g(x, y) = 6 gives x^2 + 2y^2 = 4y^2 + 2y^2 = 6y^2 = 6, which holds if and only if y = ± 1. Since x = ± 2 y, we find that f (x, y) may have a max or min at the points (± 2 , 1) and (± 2 , −1).

It remains to evaluate f (x, y) = x^2 y at the six points where f (x, y) could have a max or min. We

find that

f (0, ±

  1. = 0, f (± 2 , 1) = 4, f (± 2 , −1) = − 4.

It follows that f (x, y) has a max at (± 2 , 1) and a min at (± 2 , −1).