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Solutions to various vector calculus problems involving vector addition, dot product, cross product, linear transformations, and optimization. The problems include finding angles between vectors, areas of triangles, solutions to linear systems, and maximum and minimum values of functions.
Typology: Exams
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(a)
− 1
Solution.
(b) The angle between
(^) and
Solution.
cos θ =
v · w
‖v‖‖w‖
=⇒ θ =
3 π
(c) The area of the triangle with vertices (0, 0 , 0), (− 1 , 4 , 1) and (2, − 2 , 1).
Solution. The area of this triangle is half the area of the parallelogram gen-
erated by v =
(^) and w =
. Since v × w =
, the area of the
triangle is
1 2
‖v × w‖ =
9 2
. Equivalently, using the result from part (b), the
triangle has a base of ‖w‖ = 3 and a height of ‖v‖ sin θ = 3, so the area is 1 2
9 2
(a) For which vectors b =
b 1
b 2
b 3
(^) does the equation Ax = b have a solution? Express
your answer as one or more equations of the form ?b 1 +?b 2 +?b 3 =?.
Solution. Reducing the augmented matrix for the system Ax = b gives
b 1
b 2
b 3
b 1
b 2 − b 1
b 3 − 7 b 1
b 1
b 2 − b 1
b 3 − 7 b 1 − 4(b 2 − b 1 )
The system is therefore consistent (i.e. b is in C(A)) if and only if − 3 b 1 −
4 b 2 + b 3 = 0.
(b) Find a basis for the null space of A.
Solution. Continuing with the elimination from part (a) gives
rref(A) =
so a basis for N (A) is
(c) Find a basis for the column space of A.
Solution. Since the pivots of rref(A) are in the first two columns, the first
two columns of A (^)
form a basis for C(A).
(d) What is the rank of A?
Solution. 2
b =
v 1 =
v 2 =
v 3 =
Solution 1. Verify the three subspace properties directly.
(i) T( 0 ) = 0 = 5 0 , so 0 is in V.
(ii) Suppose x and y are in V. Then T(x + y) = T(x) + T(y) = 5x + 5y =
5(x + y), so x + y is in V.
(iii) Suppose x is in V and c ∈ R. Then T(cx) = cT(x) = c(5x) = 5(cx), so
cx is in V.
Solution 2. Let A denote the matrix for T. Then
V = {x ∈ R
n | Ax = 5x} = {x ∈ R
n | (A − 5 In)x = 0 } = N (A − 5 In),
and the null space of any n × n matrix is a subspace of R
n .
3 → R
5 is a linear transformation such that
T(e 1 ) =
T(e 1 + e 2 ) =
T(e 1 + e 2 + e 3 ) =
Find the matrix A such that T(x) = Ax for all x ∈ R
3 .
Solution. The columns of A are T(e 1 ), T(e 2 ) and T(e 3 ). We are given T(e 1 ),
T(e 2 ) = T(e 1 + e 2 ) − T(e 1 ) =
and
T(e 3 ) = T(e 1 + e 2 + e 3 ) − T(e 1 + e 2 ) =
so
(b) The matrix for rotation by 45
◦ about the x-axis in R
3 is
√^1 2
√^1 2
0 √^1 2
√^1 2
and the matrix for rotation by 45
◦ about the z-axis in R
3 is
√^1 2
√^1 2
√^1 2
√^1 2
(You need not verify these results.) Let T be the linear transformation obtained
by first rotating by 45
◦ about the x-axis and then rotating by 45
◦ about the z-axis.
Find the matrix for T.
Solution. BA =
1 √ 2
1 2
1 2
√^1 2
1 2
1 2
0 √^1 2
√^1 2
2
2 = 1, and let T : R
2 → R
2 be the linear transfor-
mation with matrix A =
(a) Show that points (u, v) = T(x, y) in the image of the ellipse under T lie on the
circle u
2
2 = 5.
Solution. u = x + 2y and v = 3x + y, so
u
2
2 = (x + 2y)
2
2
= x
2
2
2
2
= 10x
2
2
= 5(2x
2
2 )
(b) Use the result of part (a) to find the area enclosed by the ellipse.
Solution. Since det(A) = −5, the area of the circle is 5 times the area of the
ellipse. Since the area of the circle is 5π, the area of the ellipse is π.
(c) Parametrize the ellipse. Hint: Parametrize the circle first and use A
− 1 .
Figure 1 Figure 2 Figure 3
−1 0 1
−
0
1
−1 0 1
−
0
1
−1 0 1
−
0
1
Figure 4 Figure 5 Figure 6
−1 0 1
−
0
1
−1 0 1
−
0
1
−1 0 1
−
0
1
Figure 7 Figure 8 Figure 9
−1 0 1
−
0
1
−1 0 1
−
0
1
−1 0 1
−
0
1
is worth 1 point.
(a) There exists a number c for which the function g(x, y) =
xy x^2 +y^2
(x, y) 6 = (0, 0)
c (x, y) = (0, 0)
is continuous at (0, 0).
Solution. False.
(b) There exists a number c for which the function g(x, y) =
xy √ x^2 +y^2
(x, y) 6 = (0, 0)
c (x, y) = (0, 0)
is continuous at (0, 0).
Solution. True.
(c) On the domain D = {(x, y) | x
2
2 ≤ 1 } the function f (x, y) = e
x^2 − 2 xy cos(xy)
attains a maximum value.
Solution. True.
(d) On the domain D = {(x, y) | x
2
2 < 1 } the function f (x, y) = x + y attains a
maximum value.
Solution. False.
(e) On the domain D = {(x, y) | x
2
2 < 1 } the function f (x, y) = 5 attains a
maximum value.
Solution. True.
(f) Suppose f (x, y) is differentiable and ∇f (1, 2) = (3, −7). Then there exists a
direction u in which Duf (1, 2) = 8.
Solution. False.
(g) If f is differentiable at a, then D−uf (a) = −Duf (a) for every unit vector u.
Solution. True.
(h) If f (x, y) has a local minimum at (0, 0) along every line through (0, 0), then f has
a local minimum at (0, 0).
Solution. False.
(i) There exists a function f (x, y) such that ∇f (x, y) = (2xy, x
2 ).
Solution. True.
(j) There exists a function f (x, y) such that ∇f (x, y) = (x
2 , 2 xy).
Solution. False.
3
2 − 9 x + y
2 − 2 y on the
square domain D = {(x, y) | 0 ≤ x ≤ 2 , 0 ≤ y ≤ 2 } and all points at which they are
attained.
Solution. Let f (x, y, z) = x
3 +xyz+z
3
. Then ∇f (x, y, z) = (3x
2 +yz, xz, xy+
3 z
2 ), so ∇(f (1, 1 , 1) = (4, 1 , 4) is a vector normal to the tangent plane to the
level surface f (x, y, z) = 3 at (1, 1 , 1). Thus the equation of the tangent plane
is 4(x − 1) + 1(y − 1) + 4(z − 1) = 0.
(b) Regarding z = z(x, y) as a function of x and y near the point (1, 1 , 1), compute
∂z
∂x
Solution 1. Differentiate with respect to x to get
3 x
2
∂z
∂x
2 ∂z
∂x
At (x, y, z) = (1, 1 , 1) this gives
∂z ∂x
Solution 2. Rewrite the equation of the tangent plane from part (a) as
z = 1 − 1(x − 1) −
1 4
(y − 1) and recall that the equation of the tangent plane
to the graph of z = f (x, y) at (a, b, f (a, b)) is given by
z = f (a, b) +
∂f
∂x
(a, b)(x − a) +
∂f
∂y
(y − b)
so
∂z ∂x
is just the coefficient if the (x − 1) term, −1.
3 → R be a differentiable function and suppose that
∂f
∂x
(x 0 , y 0 , z 0 ) = 4
∂f
∂y
(x 0 , y 0 , z 0 ) = 5
∂f
∂z
(x 0 , y 0 , z 0 ) = 8
(a) Let u be the unit vector
. Compute D uf^ (x 0 , y 0 , z 0 ).
Solution.
Duf (x 0 , y 0 , z 0 ) = ∇f (x 0 , y 0 , z 0 ) · u = (4, 5 , 8) · (1/ 3 , 2 / 3 , 2 /3) = 10.
(b) Find a vector which points in the direction in which f is decreasing most rapidly
at (x 0 , y 0 , z 0 ).
Solution. Any positive scalar multiple of −∇f (x 0 , y 0 , z 0 ) = (− 4 , − 5 , −8).
(c) Suppose we know that f (x 0 , y 0 , z 0 ) = 5. Determine the gradient of the function
g(x, y, z) = (f (x, y, z))
2 at (x 0 , y 0 , z 0 ).
Solution. ∇g(x 0 , y 0 , z 0 ) = 2f (x 0 , y 0 , z 0 )∇f (x 0 , y 0 , z 0 ) = (40, 50 , 80).
2 − x ln y.
(a) Find Jf (2, 1).
Solution. Jf (x, y) =
2 x − ln y −
x y
, so Jf (2, 1) =
(b) Find the linear approximation of f at (2, 1) and use it to approximate f (1. 99 , 1 .02).
Solution. f (2, 1) = 4, so f (x, y) ≈ 4 + 4(x − 2) − 2(y − 1), and thus
f (1. 99 , 1 .02) ≈ 3 .92.
(c) Find Hf (2, 1).
Solution. Hf (x, y) =
1 y
−
1 y
x y^2
, so Hf (2, 1) =
(d) Find the second degree Taylor Polynomial of f at (2, 1).
Solution. 4 + 4(x − 2) − 2(y − 1) +
1 2
[2(x − 2)
2 − 2(x − 2)(y − 1) + 2(y − 1)
2 ]
(e) Near (2, 1) does the graph of f lie above its tangent plane, below its tangent plane,
or neither? Explain.
Solution. Hf (2, 1) is positive definite since AC − B
2 > 0 and A > 0. Thus
the graph of f lies above its tangent plane near (2, 1).
2 − 9 y
4 .
Solution. ∇f (x, y) = (12y − 4 x, 12 x − 36 y
3 ). At a critical point therefore
x = 3y, and thus 36y(1 − y
2 ) = 0. The critical points are therefore (0, 0),
(3, 1) and (− 3 , −1).
(b) At each critical point, determine whether f has a local maximum, local minimum,
or saddle point.
Solution. Hf (x, y) =
12 − 108 y
2
At the first critical point Hf (0, 0) =
is indefinite since AC − B
− 144 < 0 and therefore f has a saddle at (0, 0).
At the other two critical points Hf (3, 1) = Hf (− 3 , −1) =
is
negative definite since AC − B
2 = 432 − 144 > 0 and A < 0. Thus f has local
maxima at (3, 1) and (− 3 , −1).