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The solutions to the practice final exam for math 2210, a college-level mathematics course, from spring 2008. The solutions cover various topics including vector calculus, calculus, and differential geometry.
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1 8 pts
2 6 pts
3 7 pts
4 8 pts
5 8 pts
6 13 pts
7 10 pts
Total 60 pts
(1) Consider the curve in R
3 parameterized by
r(t) = 〈 3 t, 2 cos(2t), 2 sin(2t)〉.
(a) (2 pts) Compute T(t), the unit tangent vector to the curve at time t.
Solution: We know T =
r ′
‖r′‖
. Since r
′ (t) = 〈 3 , −4 sin(2t), 4 cos(2t)〉, we have
‖r
′ ‖ =
2
9 + 16 sin
2 (2t) + 16 cos 2 (2t)
Thus,
T(t) =
sin(2t),
cos(2t)
(b) (2 pts) Compute N(t), the principal unit normal vector to the curve at time t.
Solution: We know N =
T ′
‖T′‖
. Since T ′ (t) =
8 5
cos(2t), −
8 5
sin(2t)
, we have
′ ‖ =
2
cos(2t)
sin(2t)
cos 2 (2t) +
sin
2 (2t)
Thus,
N(t) = 〈 0 , − cos(2t), − sin(2t)〉.
(2) Suppose the temperature in a room is given by the function T (x, y, z) = x
2 − 2 yz + xz
3 .
(a) (2 pts) Compute ∇T (x, y, z).
Solution: We have
∂x
∂y
∂z
= 〈 2 x + z
3 , − 2 z, − 2 y + 3xz
2 〉.
(b) (2 pts) A fly is hovering in the air at the point (1, 1 , 0). At that point, in which unit direction does
the temperature increase most rapidly?
Solution: The gradient always points in the direction of most rapid increase. By part (a), we have
∇T (1, 1 , 0) = 〈 2 , 0 , − 2 〉. The unit vector pointing in this direction is
1 √ 2
1 √ 2
(c) (2 pts) What is the rate of temperature increase in the unit direction pointing toward (5, 1 , 3)?
Solution: The vector from the point (1, 1 , 0) to the point (5, 1 , 3) is (4, 0 , 3). The unit vector in this
direction is u =
4 5
3 5
. The directional derivative of T in the direction u at the point (1, 1 , 0) is
DuT = ∇T (1, 1 , 0) · u = 〈 2 , 0 , − 2 〉 ·
(3) Consider the function f (x, y) = x
3 − 3 x
2
2 − 8 y + 2.
(a) (3 pts) Find all the stationary points of f ; i.e., the points where ∇f = 0.
Solution: We have ∇f = 〈 3 x
2 − 6 x, 2 y − 8 〉, and so ∇f = 0 exactly when
3 x
2 − 6 x = 0
2 y − 8 = 0.
The first equation implies x = 0 or x = 2, while the second equation implies y = 4. So, the
stationary points are (0, 4), (2, 4). §
(b) (4 pts) Use the Second Derivative Test to determine the nature of each stationary point.
Solution: We compute the Hessian matrix of f :
Hf (x, y) =
6 x − 6 0
0 2
So,
Hf (0, 4) =
which gives the sequence of principal minors {− 6 , − 12 }. Thus, (0, 4) is a saddle point.
On the other hand, for the point (2, 4) we have
Hf (2, 4) =
which gives the sequence of principal minors { 6 , 12 }. Thus, (2, 4) is a local minimum. §
(5) Let S be the solid square in R
2 with vertices (0, 0), (0, 2), (2, 0), (2, 2). Let F(x, y) = 〈x
2 y, xy
2 〉.
(a) (4 pts) Compute the flux of F through ∂S; i.e., compute
∂S
F · n ds.
(Hint: Use Green’s Theorem.)
Solution: By Green’s Theorem, ∮
∂S
F · n ds =
S
div F dA
S
∂x
(x
2 y) +
∂y
(xy
2 ) dA
S
2 xy + 2xy dA
2
0
2
0
xy dx dy
0
x
2 y
x=
x=
dy
2
0
2 y dy
= 4[y
2 ]
2 0
(b) (4 pts) Compute the circulation of F around ∂S; i.e., compute
∂S F · T ds.
(Hint: Use Green’s Theorem.)
Solution: By Green’s Theorem, ∮
∂S
F · T ds =
S
∂x
(xy
2 ) −
∂y
(x
2 y) dA
0
0
y
2 − x
2 dx dy
2
0
xy
2 −
x
3
]x=
x=
dy
0
2 y
2 −
dy
y
3 −
y
0
= 0.
(6) Let G be the paraboloid z = x
2
2 with circle x
2
2 = 1, z = 1 as its boundary. Let F(x, y, z) =
〈y, −x, yz〉.
(a) (3 pts) Compute
∂G
F · T ds directly (without appealing to Stokes’s theorem).
Solution: Parameterize the boundary circle by
x = cos(t)
y = sin(t)
z = 1,
where t ranges from t = 0 to t = 2π. Then ∮
∂G
F · T ds =
∂G
y dx − x dy + yz dz
∫ (^2) π
0
(sin(t))(− sin(t) dt) − (cos(t))(cos(t) dt) + (sin(t))(1)(0 dt)
2 π
0
(sin
2 (t) + cos
2 (t)) dt
∫ (^2) π
0
1 dt
= − 2 π.
(b) (2 pts) Find n, the upward unit normal to the surface.
Solution: The surface G is given by the equation −x 2 − y 2
is 〈− 2 x, − 2 y, 1 〉, which gives a normal vector to the surface (and this vector points upward). The
upward unit normal is therefore
n =
4 x 2
〈− 2 x, − 2 y, 1 〉.
(e) (3 pts) Compute
G (curl F) · n dS directly (without appealing to Stokes’s theorem).
Solution: Combining our results from parts (b)-(d), above, we have ∫ ∫
G
(curl F) · n dS =
G
〈z, 0 , − 2 〉 ·
4 x 2
〈− 2 x, − 2 y, 1 〉 dS
S
− 2 xz − 2 √ 4 x 2
dS
1
0
2 π
0
− 2 u
3 cos(v) − 2 √ 4 u 2
· u
4 u 2
0
∫ (^2) π
0
(− 2 u
4 cos(v) − 2 u) dv du
0
[− 2 u
4 sin(v) − 2 uv]
v=2π v= du
= − 4 π
1
0
u du
= − 2 π.
Note that this agrees with the answer from part (a), as predicted by Stokes’s theorem. §
(7) (10 pts) Let B be the parabolic solid 0 ≤ z ≤ 4 − x
2 − y
2
. Let F(x, y, z) = 〈x
2 , y
2 , z
2 〉.
Compute the flux of F through ∂B; i.e, compute
∂B
F · n dS.
(Hint: First use Gauss’s Divergence Theorem, and then use cylindrical coordinates, integrating θ first.)
Solution: By Gauss’s Divergence Theorem, ∫ ∫
∂B
F · n dS =
B
div F dV
B
∂x
(x
2 ) +
∂y
(y
2 ) +
∂z
(z
2 ) dV
B
x + y + z dV.
Using cylindrical coordinates, we then have
B
x + y + z dV = 2
2
0
4 −r 2
0
2 π
0
(r cos(θ) + r sin(θ) + z) · r dθ dz dr
0
∫ (^4) −r^2
0
r
2
∫ (^2) π
0
cos(θ) dθ + r
2
∫ (^2) π
0
sin(θ) dθ + rz
∫ (^2) π
0
dθ
0
∫ (^4) −r^2
0
2 πrz dz dr
2
0
[πrz
2 ]
z=4−r 2
z=0 dr
= 2π
0
r(4 − r
2 )
2 dr.
For this final integral, we can either expand the square and compute the integral directly, or we can
make the substitution u = 4 − r
2 , which gives
= −π
4
u
2 du
= −π
u
3
4
= −π
64 π