MATH 51 Midterm 2 Solutions: Matrix Operations, Linear Transformations, and Eigenvalues, Exams of Calculus

Solutions to the math 51 midterm 2 exam, covering topics such as finding determinants and inverses of matrices, linear transformations, and eigenvalues. It includes step-by-step solutions for various problems involving matrix operations, change of basis, and finding eigenvectors.

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2012/2013

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MATH 51 MIDTERM 2 SOLUTIONS
March 9, 2006
1(a). Find the determinant of the matrix C=
1 2 3
11 1
2 1 1
.
Solution: for example,
¯
¯
¯
¯
¯
¯
1 2 3
11 1
2 1 1
¯
¯
¯
¯
¯
¯
=¯
¯
¯
¯
¯
¯
1 2 3
0 1 4
035
¯
¯
¯
¯
¯
¯
=¯
¯
¯
¯
¯
¯
123
014
007
¯
¯
¯
¯
¯
¯
= 7
1(b). Find the inverse of the matrix M=
1 0 2
0 1 3
2 1 8
. Ans:
1 0 2|100
013|010
2 1 8 |001
102|100
0 1 3 |010
0 1 4 |201
102|100
0 1 3 |010
0 0 1 |21 1
102|52 2
0 1 0 | 6 4 3
0 0 1 |21 1
so
M1=
52 2
6 4 3
22 1
.
2. Let v1=·1
1¸and v2=·2
1¸. Let T:R2R2be the linear transformation
such that
T(v1) = 3v1+ 2v2
(i)
T(v2) = v1v2.(ii)
2(a). What is the matrix for Twith respect to the basis B={v1,v2}?
1
pf3
pf4
pf5

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MATH 51 MIDTERM 2 SOLUTIONS

March 9, 2006

1(a). Find the determinant of the matrix C =

Solution: for example,

∣ ∣ ∣ ∣ ∣ ∣ 1 2 3 − 1 − 1 1 2 1 1

1(b). Find the inverse of the matrix M =

. Ans:

so

M −^1 =

  1. Let v 1 =

[

]

and v 2 =

[

]

. Let T : R^2 → R^2 be the linear transformation

such that

(i) T (v 1 ) = 3v 1 + 2v 2

(ii) T (v 2 ) = −v 1 − v 2.

2(a). What is the matrix for T with respect to the basis B = {v 1 , v 2 }?

Solution: The first column of the matrix is [T (v 1 )]B, or

[

]

. The second column

is [T (v 2 )]B, or

[

]

. Thus the matrix is B =

[

]

2(b). What is the matrix for T with respect to the standard basis {e 1 , e 2 }?

Solution: The change of basis matrix is C =

[

]

(the matrix whose columns

are v 1 and v 2 .) The matrix for T in standard coordinates is A = CBC−^1. Now

C−^1 =

[

]

, so

A =

[

] [

] [

]

[

] [

]

[

]

3(a). Find all eigenvalues of the matrix A =

Solution:

0 = det(λI − A) =

λ − 1 − 4 − 3 − 1 λ − 1 − 2 0 0 λ − 7

= (λ − 7)

λ − 1 − 4 − 1 λ − 1

= (λ − 7) ((λ − 1)(λ − 1) − 4) = (λ − 7)(λ^2 − 2 λ − 3) = (λ − 7)(λ − 3)(λ + 1)

so the eigenvalues are 7, 3, and −1.

3(b). The matrix B =

[

]

has characteristic polynomial

p(λ) = (λ − 15)(λ + 5).

Find a basis for R^2 consisting of eigenvectors of B.

Solution:[ For λ = 15, we find a nonzero vector in the nullspace of 15I − B = 16 − 8 − 8 4

]

. Note v 1 =

[

]

is such a vector. (Any nonzero multiple would also

do.)

We can get the second basis eigenvector in either of two ways:

(1) By symmetry of B, we know any eigenvector with eigenvalue −5 must be or- thogonal to v 1. Thus we can just rotate v 1 by 90◦^ to get our second eigenvector:

v 2 =

[

]

(2) For λ = −5, we find a nonzero vector in the nullspace of − 5 I −B =

[

]

Note v 2 =

[

]

is such a vector.

5(a). Find the following partial derivatives:

∂u ∂x

= 3 x^2 y^2 ∂u ∂y

= 2 x^3 y

∂v ∂x

= −y/x^2 ∂v ∂y

= 1 /x

∂^2 u ∂x∂y

= 6 x^2 y

5(b). Suppose f (u, v) is a function of u and v such that

∂f ∂u

= 12−v and

∂f ∂v

= 1−u.

Find ∂ ∂x

f (u(x, y), v(x, y))

at the point (x, y) = (1, 2).

Solution:

∂ ∂x

f (u(x, y), v(x, y)) =

∂f ∂u

∂u ∂x

∂f ∂v

∂v ∂x = (12 − v)

∂u ∂x

  • (1 − u)

∂v ∂x = (12 − y/x)(3x^2 y^2 ) + (1 − x^2 y^2 )(−y/x^2 ) = 36x^2 y^2 − 3 xy^3 − y/x^2 + y^3.

Thus at the point (x, y) = (1, 2):

∂f ∂x

= 36(1)^2 (2)^2 − 3(1)(2)^3 − 2 /(1)^2 + 2^3 = 144 − 24 − 2 + 8 = 126

  1. Find the following:

6(a). The matrix for T : R^3 → R^3 , where T is rotation by 180◦^ about the y-axis followed by 180◦^ rotation about the z-axis.

Solution: Let Ry and Rz denote the 180◦^ rotations about the y and z axes, respectively. Then

T (e 1 ) = Rz (Ry e 1 ) = Rz (−e 1 ) = e 1 T (e 2 ) = Rz (Ry e 2 ) = Rz (e 2 ) = −e 2 T (e 3 ) = Rz (Ry e 3 ) = Rz (−e 3 ) = −e 3

so the matrix is (^) 

6(b). The matrix for the linear map T given by

T

([

x y

])

3 x + 7y 13 y x − 4 y

Solution: (^) 

6(c). The matrix for reflection in R^2 about the line y = −x.

Solution: e 1 7 → −e 2 and e 2 7 → −e 1 , so the matrix is

[

]

6(d). The product

[

] [

]

Solution:

[

]

  1. Find the equation of the tangent plane to the surface

xy + yz + zx = 11

at the point (1, 2 , 3).

Solution: The surface is a level set of the function f (x, y, z) = xy + yz + xz.

∇f (x, y, z) = (fx, fy , fz ) = (y + z, x + z, x + y)

so N = ∇f (1, 2 , 3) = (2 + 3, 1 + 3, 1 + 2) = (5, 4 , 3)

is a normal vector to the surface (and therefore also to the tangent plane) at (1, 2 , 3). Since the tangent plane passes through the point (1, 2 , 3), the equation is

(5, 4 , 3) · ((x, y, z) − (1, 2 , 3)) = 0

or (equivalently)

5(x − 1) + 4(y − 2) + 3(z − 3) = 0

or 5 x + 4y + 3z = 22.