Singular - Matrix Methods - Solved Exam, Exams of Mathematics

This is the Solved Exam of Matrix Methods which includes Vector Subspace, Square Matrices, Vector Space, Complex Inner Product, Unique Solution, Solution Set, Subspace, Range and Cokernel etc. Key important points are: Singular, Square Matrices, Nonsingular, System of Equations, Gaussian Elimination, Augmented Matrix, Basis, Range, Kernel, Unique Solution

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APPM 3310: Matrix Methods Exam #1.001 Solutions October 1, 2010
Problem 1. (30 points) For this problem, let A=
12 1 1
23 2 3
35 3 4
1 1 1 2
.
(a) (7 pts) Find the determinant of A, justify your answer.
(b) (7 pts) Is the matrix A regular? Why or why not?
(c) (4 pts) What is the rank of A?
(d) (12 pts) Find all solutions to the system Ax =b, where b=
1
1
2
0
Solution:
(a) det(A) = 0 since Ahas two identical columns.
(b) Note that reducing A to upper triangular form yields U=
12 1 1
0 1 0 1
0 0 0 0
0 0 0 0
and so A is not regular
since it does not have non-zero pivots.
(c) rank(A) = 2
(d) Using Gaussian elimination we have,
12 1 1 1
23 2 3 1
35 3 4 2
1 1 1 2 0
12 1 1 1
0 1 0 11
0 1 0 11
01 0 1 1
12 1 1 1
0 1 0 11
0 0 0 0 0
0 0 0 0 0
so we have
x2y+zw= 1
yw=1
0 = 0
0 = 0
x=1z+ 3w
y=1 + w
z=z
w=w
x
y
z
w
=
1
1
0
0
+
1
0
1
0
z+
3
1
0
1
w
thus the solution of the system is
1
1
0
0
+
1
0
1
0
s+
3
1
0
1
t
s, t R
.
Problem 2. (40 points) Let S M2×2denote the set of all symmetric 2 ×2 matrices, that is,
SM2×2= a b
b c :a, b, c R
(a) (12 points)Prove SM2×2is a subspace of M2×2(the space of all 2 ×2 matrices).
(b) (8 points)Find the dimension of SM2×2by exhibiting a basis.
(c) (10 points) Given the following matrices
M1=1 1
1 2 , M2=2 0
02, M3=3 2
2 5
is {M1, M2, M3}a basis of SM2×2? Justify your answer.
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APPM 3310: Matrix Methods — Exam #1.001 Solutions — October 1, 2010

Problem 1. (30 points) For this problem, let A =

(a) (7 pts) Find the determinant of A, justify your answer. (b) (7 pts) Is the matrix A regular? Why or why not? (c) (4 pts) What is the rank of A?

(d) (12 pts) Find all solutions to the system Ax = b, where b =

Solution: (a) det(A) = 0 since A has two identical columns.

(b) Note that reducing A to upper triangular form yields U =

 and so A is not regular

since it does not have non-zero pivots. (c) rank(A) = 2 (d) Using Gaussian elimination we have,   

so we have

x − 2 y + z − w = 1 y − w = − 1 0 = 0 0 = 0

x = − 1 − z + 3w y = −1 + w z = z w = w

x y z w

 z^ +

 w

thus the solution of the system is

 s^ +

 t

∣∣ s, t^ ∈^ R

Problem 2. (40 points) Let SM 2 × 2 denote the set of all symmetric 2 × 2 matrices, that is,

SM 2 × 2 =

{[

a b b c

]

: a, b, c ∈ R

(a) (12 points)Prove SM 2 × 2 is a subspace of M 2 × 2 (the space of all 2 × 2 matrices).

(b) (8 points)Find the dimension of SM 2 × 2 by exhibiting a basis.

(c) (10 points) Given the following matrices

M 1 =

[

]

, M 2 =

[

]

, M 3 =

[

]

is {M 1 , M 2 , M 3 } a basis of SM 2 × 2? Justify your answer.

(d) (10 points)For what values of λ is M 4 =

[

1 λ λ 3

]

in Span {M 1 , M 2 , M 3 }?

Solution

(a) To prove closure, we can check that all sums [ a 1 b 1 b 1 c 1

]

[

a 2 b 2 b 2 c 2

]

[

a 1 + a 2 b 1 + b 2 b 1 + b 2 c 1 + c 2

]

and scalar multiples

d

[

a b b c

]

[

da db db dc

]

remain in SM 2 × 2.

(b) dim = 3.

{[

]

[

]

[

]}

is a basis. (c) NO.

Each element in SM 2 × 2 can be thought as an R^3 vectors by taking its coordinates. M 1 ∼

M 2 ∼

 (^) and M 3 ∼

To do linear dependence test, we put the coordinate vectors in a matrix and find its REF.  

Rank=2 implies that the three coordinate vectors are linearly dependent in R^3. So M 1 , M 2 and M 3 are linearly dependent in SM 2 × 2. (d) λ = 2

The coordinate vector of M 4 is

λ 1

. The following linear system

1 0 2 λ 2 − 2 5 3

0 2 − 1 λ − 1 0 2 − 1 1

0 2 − 1 λ 0 0 0 2 − λ

is compatible if and only if λ = 2.

Problem 3. (30 points) Justify your answers:

(a) (6 pts) Let F =

, and let B =

, verify that B = (F −^1 )T^.

(b) (6 pts) Suppose you know that for some matrices F and M , we have det(F + M ) = 10 and det(F − M ) = 6, can we conclude from this that det(F 2 − M 2 ) = 60? Why or why not?

(c) (6 pts) Suppose K is a nonzero, symmetric 2 × 2 matrix. Is it possible for K to have the property that K^2 = O? Why or why not? Justify your answer for the general case.

(d) (6 pts) Suppose B is a 3 × 3 matrix such that B = − 2 BT^. Is B nonsingular? Why or why not? Justify your answer for the general case.