Exam 2 with Solution - Multivariable Calculus Engineers | MATH 1920, Exams of Calculus

Material Type: Exam; Class: Multivariable Calculus Engrs; Subject: Mathematics; University: Cornell University; Term: Fall 2008;

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Pre 2010

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Math 1920, Prelim 2
October 30, 2008
Solutions
1) a) f= 2yi+ (2x2z)jykso f(1,1,1) = 2i+j+kand
|∇f(1,1,1)|=p(2)2 + 12 + 12 = 6.
Consequently, the direction of most rapid increase is:
uincr =f(1,1,1)
|∇f(1,1,1)|=2
6i+1
6j+1
6k
and the direction of most rapid decrease is:
udecr =f(1,1,1)
|∇f(1,1,1)|=2
6i1
6j1
6k
b) The directional derivative in the direction of most rapid increase:
Duincrf|(1,1,1) =f|(1,1,1) ·uincr =1
6(4 + 1 + 1) = 6
The directional derivative in the direction of most rapid decrease:
Dudecrf|(1,1,1) =f|(1,1,1) ·udecr =1
6(4 + 1 + 1) = 6
c) No. The minimum rate of change is 6>3.
2) a) f(1,1,2) = 2, fx=z,fx(1,1,2) = 2, fy=3z,fy(1,1,2) = 6, fz=x3y,
fz(1,1,2) = 2 so L(x, y, z) = 2 + 2(x1) 6(y1) 2(z2) = 2x6y2z+ 6
b) An approximate value of fat (1.1,1.1,2.1):
L(1.1,1.1,2.1) = 2 + 2(1.11) 6(1.11) 2(2.12) = 2+0.20.60.2 = 2.6
3) a)
b) We observe that the region is 3
4of a unit circle so the area must be 3
4·12·π=3π
4.
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Math 1920, Prelim 2 October 30, 2008 Solutions

  1. a) ∇f = 2yi + (2x − 2 z)j − yk so ∇f (1, − 1 , 1) = − 2 i + j + k and

|∇f (1, − 1 , 1)| =

Consequently, the direction of most rapid increase is:

uincr =

∇f (1, − 1 , 1)

|∇f (1, − 1 , 1)|

i +

j +

k

and the direction of most rapid decrease is:

udecr = −

∇f (1, − 1 , 1)

|∇f (1, − 1 , 1)|

i −

j −

k

b) The directional derivative in the direction of most rapid increase:

Duincr f |(1,− 1 ,1)= ∇f |(1,− 1 ,1) ·uincr =

The directional derivative in the direction of most rapid decrease:

Dudecr f |(1,− 1 ,1)= ∇f |(1,− 1 ,1) ·udecr = −

c) No. The minimum rate of change is −

  1. a) f (1, 1 , 2) = −2, fx = z, fx(1, 1 , 2) = 2, fy = − 3 z, fy(1, 1 , 2) = −6, fz = x − 3 y,

fz (1, 1 , 2) = −2 so L(x, y, z) = −2 + 2(x − 1) − 6(y − 1) − 2(z − 2) = 2x − 6 y − 2 z + 6

b) An approximate value of f at (1. 1 , 1. 1 , 2 .1):

L(1. 1 , 1. 1 , 2 .1) = −2 + 2(1. 1 − 1) − 6(1. 1 − 1) − 2(2. 1 − 2) = −2 + 0. 2 − 0. 6 − 0 .2 = − 2. 6

  1. a)

b) We observe that the region is 3 4 of a unit circle so the area must be^

3 4 ·^1

2 · π = 3 π

Alternatively we can find the area with the following double integral in polar coordinates: ∫ (^7) π/ 4

π/ 4

0

r dr dθ =

∫ (^7) π/ 4

π/ 4

dθ =

7 π

4

π

4

3 π

4

c) Symmetry around the x-axis gives ¯y = 0. Next check:

∫ ∫

R

x dA =

∫ (^7) π/ 4

π/ 4

0

r cos(θ)r dr dθ =

∫ (^7) π/ 4

π/ 4

cos(θ) dθ =

Thus we have ¯x =

√ 2 2 3 π 4

9 π

  1. The sum of the distances squared from (x, y) are

f (x, y) = x 2

  • y 2
  • (x − 1) 2
  • y 2
  • (x − a) 2
  • (y − b) 2 = 3x 2
  • 3y 2 − 2(1 + a)x − 2 by + a 2
  • b 2

Then,

∇f =< 6 x − 2(1 + a)x, 6 y − 2 b >.

So ∇f =< 0 , 0 >, only when x = (1 + a)/3, and y = b/3, and so ((1 + a)/ 3 , b/3) is the only

critical point.

The function f is differentiable at all (x, y), and it is continuous. Since f is the sum of

squares, f (x, y) ≥ 0 for all (x, y), it is bounded below. So if f has a (global) minimum point

it must be ((1 + a)/ 3 , b/3). But for any (x, y) outside or on the boundary of a large disk

D centered at (0, 0), say, f is larger than f ((1 + a)/ 3 , b/3). So the minimum of f must be

in the interior of D, since D is closed and bounded (compact), and it must be the global

minimum of f. So that minimum must be achieved at the critical point ((1 + a)/ 3 , b/3).

Note that if you calculated the Hessian correctly, you showed that the critical point is a local

minimum. For full credit you needed to show this was a global minimum.

  1. Assume x, y, z ≥ 0, for the coordinates in the first octant, and the vertices of the box lie

on the surface of the ellipsoid. Then the volume of the box is V = 8xyz. Let f (x, y, z) =

x 2

  • 2y 2
  • 3z 2

. ∇V = 8 < yz, xz, xy >, and ∇f =< 2 x, 4 y, 6 z >. Since V is continuous

and differentiable, and the boundary of the ellipsoid is closed and bounded, f must have a

maximum, where λ∇f = ∇V , for some scalar λ, the Lagrange multiplier. So

λ 2 x = 8yz, λ 4 y = 8xz, λ 6 z = 8xy.

Since V = 0 when either x = 0, or y = 0, or z = 0, and the maximum is clearly not 0, we

can assume that they are all non-zero. So λ is non-zero as well. Dividing the first equation

by the second we get λλ^24 xy = 8 yz 8 xz , which simplifies to^ x

(^2) = 2y (^2). Similarly dividing the third

equation by the first we get λλ^26 xz = 8 yz 8 xy , which simplifies to^ x

(^2) = 3z (^2). Substituting into the

ellipsoid constraint we get x 2

  • x 2
  • x 2 = 1, giving x = √^1 3

. Then y = √^1 2 x = √^1 6 , and

z = √^1 3 x = 1 3.^ So the maximum volume is 8^

√^1 3

√^1 6

1 3 =^

8 9

√ 2

. Note that this is a maximum

because the domain for f , the ellipsoid, is closed and bounded so we know that f attains

both a global maximum and a global minimum. We can make f as close to 0 as we want by

making one of the variables tend to 0, so the value we found must be a maximum.