7 Solved Problems on Elementary Matrix and Linear Algebra | MATH 340, Exams of Mathematics

Material Type: Exam; Class: Elementary Matrix and Linear Algebra; Subject: MATHEMATICS; University: University of Wisconsin - Madison; Term: Spring 2005;

Typology: Exams

Pre 2010

Uploaded on 09/02/2009

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TOTAL SCORE (90 points possible):
MATH 340; EXAM # 1, February 28, 2005 (R.A.Brualdi)
Discussion Section (circle one): Mon 8:50 Mon 12:05 Wed 8:50 Wed 12:05
Name: These R. Solutions
1. (12 points) Let Abe the matrix
1 2 3 4
2 4 1 3
3 5 1 2
.
Let xbe a 4 ×1 matrix (a column vector) (x1, x2, x3, x4)T, let ybe a 1 ×3 matrix (y1, y2, y3).
(i) Express Ax as a linear combination of the columns of A:
x1
1
2
3
+x2
2
4
5
+x3
3
1
1
+x4
4
3
2
(ii) Express yA as a linear combination of the rows of A:
y1h1 2 3 4 i+y2h2 4 1 3 i+y3h3 5 1 2 i
(iii) Is yAx in the row space, column space, both the row and column space or
neither? Circle one.
NEITHER:yAx is a scalar (a 1 ×1 matrix).
2. (14 points) Let Abe a 4 ×3 matrix.
(i) Let Ebe the elementary matrix such that EA interchanges rows 2 and 4 of A.What
is Eand, if Eis invertible, what is the inverse of E?
E=
1 0 0 0
0 0 0 1
0 0 1 0
0 1 0 0
We have E1=E.
(ii) Now let Ebe the elementary matrix such that EA is obtained from Aby adding 10
times row 2 of Ato row 4. What is Eand, if Eis invertible, what is the inverse of
E?
E=
1 0 0 0
0 1 0 0
0 0 1 0
0 10 0 1
1
pf3
pf4

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TOTAL SCORE (90 points possible):

MATH 340; EXAM # 1, February 28, 2005 (R.A.Brualdi)

Discussion Section (circle one): Mon 8:50 Mon 12:05 Wed 8:50 Wed 12:

Name: These R. Solutions

  1. (12 points) Let A be the matrix   

  .

Let x be a 4 × 1 matrix (a column vector) (x 1 , x 2 , x 3 , x 4 )T^ , let y be a 1 × 3 matrix (y 1 , y 2 , y 3 ).

(i) Express Ax as a linear combination of the columns of A:

x 1

 

  + x 2

 

  + x 3

 

  + x 4

 

 

(ii) Express yA as a linear combination of the rows of A:

y 1

[ 1 2 3 4

]

  • y 2

[ 2 4 1 3

]

  • y 3

[ 3 5 1 2

]

(iii) Is yAx in the row space, column space, both the row and column space or neither? Circle one. NEITHER: yAx is a scalar (a 1 × 1 matrix).

  1. (14 points) Let A be a 4 × 3 matrix.

(i) Let E be the elementary matrix such that EA interchanges rows 2 and 4 of A. What is E and, if E is invertible, what is the inverse of E?

E =

   

   

We have E−^1 = E. (ii) Now let E be the elementary matrix such that EA is obtained from A by adding 10 times row 2 of A to row 4. What is E and, if E is invertible, what is the inverse of E?

E =

  

  

E−^1 =

   

   

  1. (15 points) Let A be an n × n invertible matrix.

(i) Define what it means for A to be invertible. That there exists a matrix B such that AB = BA = In. (ii) Prove that A^2 is invertible if A is invertible. Since A is invertible we know A−^1 exists. Consider the matrix B = (A−^1 )^2. Then using properties of matrix multiplication, one easily checks (do it!) that AB = BA = In One could also use determinants as in part (iii). (iii) If A^2 is invertible, is A invertible? Why or why not? We know that A is invertible if and only if det A 6 = 0. We also know that det A^2 = (det A)^2 since the deteminant is multiplicative. So since det A^2 6 = 0, det A 6 = 0 and A is invertible.

  1. (18 points) Let A be a 5 × 6 matrix whose reduced row echelon form is     

    

(i) What is the dimension of the row space of A. What is a basis for it. This dimension is 3 and the first three rows of the matrix above form a basis. (ii) What is the dimension of the column space of A. What is a basis for it? This dimension is also 3 and columns 1, 3 and 5 of A form a basis. (iii) What is the dimension of the null space of A. What is a basis for it? This dimension is 6 = 3 = 3 and a basis can be found as follows. the above rref tells us that the solutions of Ax = 0 (the null space of A) is:

x 1 = − 2 c − 3 d − 2 f x 2 = c x 3 = − 5 d − 4 f x 4 = d x 5 = − 6 f x 6 = f

where d, e, f are arbitrary. Separating c, d and e, we get as a basis:

(− 2 , 1 , 0 , 0 , 0 , 0)T^ , (− 3 , 0 , − 5 , 1 , 0 , 0)T^ , (− 2 , 0 , − 4 , 0 , − 6 , 1)T^.

Hence the (1, 3)-entry of B−^1 equals (^) −− 157 = 157. Do the columns of B form a basis of R^3? Why or why not? Yes, because det B 6 = 0 and hence the columns of B are linearly independent, Since R^3 has dimension 3, these columns must form a basis of R^3.