E1 (0240) 9am Slns Fall 2012
E1 (0240) 9am Slns Fall 2012
E1 (0240) 9am Slns Fall 2012
1. (10 points) Evaluate the limit, if it exists. If it does not exist explain why.
x sin y
lim
(x,y)→(0,0) x2 − 2y 2
x sin y 0
Solution: Path 1: x = 0, y → 0 lim 2 2
= lim = 0.
(x,y)→(0,0) x − 2y y→0 −2y 2
√
x
2. (a) (10 points) Explain why the function f (x, y) = is differentiable at the point (4, 2).
y
√
1 x
Solution: fx (x, y) = √ , fy (x, y) = − 2 . Both functions exist near (4, 2) and are
2y x y
continuous at (4, 2). Hence f (x, y) is differentiable at (4, 2). (See theorem 8, page 620).
√
x
(b) (10 points) Using the linear approximation of f (x, y) = approximate the number
√ y
3.98
.
1.99
Solution: The linearization of f (x, y) at (4, 2) is
1
L(x, y) = f (4, 2) + fx (4, 2)(x − 4) + fy (4, 2)(y − 2), where f (4, 2) = 1, fx (4, 2) = ,
8
1
fy (4, 2) = − . Then
2
1 1
L(x, y) = 1 + (x − 4) − (y − 2)
8 2
√
3.98 √ √ 1 1
= f ( 3.98, 1.99) ≈ L( 3.98, 1.99) = 1 + (3.98 − 4) − (1.99 − 2)
1.99 8 2
1
1 2 1 1 1 2 1
=1+ − − − =1− + =1 .
8 100 2 100 400 400 400
3. (10 points) Find parametric equations and symmetric equations for the line of intersection
of the planes x − 2y + z = 1 and x + z = 0.
Solution: The corresponding normal vectors are n¯1 = h1, −2, 1i and n¯2 = h1, 0, 1i. The
directional vector of the line is h−1, 0, 1i since
ī j̄ k̄
1 −2 1 = h−2, 0, 2i
1 0 1
(b) (10 points) Evaluate the gradient at the point P (1, −2).
Solution: ∇f ¯ (1, −2) = h −2 cos(−2 · 0), cos(−2 · 0) · 0i = h−2, 0i. (Recall ln 1 = 0).
1
(c) (10 points) Find the rate of change of f at P in the direction of the vector ū =
h √15 , − √25 i.
Solution: ¯ (1, −2) · ū = h−2, 0i · h √1 , − √2 i = − √2 .
The rate of change is ∇f 5 5 5
2
5. (10 points) Find the curvature of
r̄0 (t) = het (cos t − sin t), et (cos t + sin t), 1i,
r̄00 (t) = het (cos t−sin t−sin t−cos t), et (cos t+sin t+cos t−sin t), 0i = h−2et sin t, 2et cos t, 0i
r̄0 (0) = h1, 1, 1i, r̄00 (0) = h0, 2, 0i,
√ √ √
|r̄0 (0) × r̄00 (0)| = |h−2, 0, 2i| = 8 = 2 2, |r̄0 (0)| = 3,
√ r 3/2 √
2 2 8 2 2 6
κ= √ = = =
3 3 27 3 9
yz = ln(x + 2z)
∂ ∂ 1 + 2zx
Solution: (yz) = (ln(x + 2z)), yzx = , y(x + 2z)zx = 1 + 2zx ,
∂x ∂x x + 2z
1
(xy + 2yz − 2)zx = 1, zx = .
xy + 2yz − 2
∂ ∂ 2zy
(yz) = (ln(x + 2z)), z + yzy = , xz + 2z 2 + (xy + 2yz)zy = 2zy ,
∂y ∂y x + 2z
xz + 2z 2
(xy + 2yz − 2)zy = −xz − z 2 , zy = − .
xy + 2yz − 2
7. (10 points) Using Lagrange multipliers find the maximum and minimum values of the
function f (x, y) = 4x2 + 9y 2 subject to the constraint xy = 4
3
¯ (x, y) = λ∇g(x,
Then using ∇f ¯ y), g(x, y) = 4 we get the system of equations
8x = λy
18y = λx
xy = 4
bonus problem [10 points extra] A cardboard box without a lid is to have a volume of 32, 000
cm3 . Find the dimensions that minimize the amount of cardboard used.
Solution: (See also the example 5, page 648). Denote V = 32, 000 and let x be the width, y
be the length, and z be the hight. Then xyz = V and area is A = xy + 2xz + 2yz.
V 2V 2V
Then z = and A(x, y) = xy + + is a function of two variables which we have
xy y x
to minimize. Note that x > 0, y > 0.
2V 2V
Ax = y − 2 = 0, Ay = x − 2 = 0 ⇒ 2V = x2 y = xy 2 ⇒ x = y. Then x3 = 2V and
√ x y
3
x = y = 2V .
√ √
CP is ( 3 2V , 3 2V ).
4V 4V
Axx = 3 , Ayy = 3 , Axy = 1. At CP Axx = 2V , Ayy = 2V .
x y
Then D = 4V 2 − 1 > 0, Axx = 2V > 0. Therefore, A(x, y) attains a local minimum at the CP
which is the absolute minimum.
√
3 √ 32, 000
2V = 3 64, 000 = 40. Hence x = y = 40 cm and z = = 20 cm.
40 · 40