Linear Algebra - Linear Algebra

21:  

Determinant of the matrix

 
1 0 0 0
100 1 0 0
100 200 1 0
100 200 300 1
 
is

 

A.

100

B.

200

C.

1

D.

0

 
 

Option: C

Explanation :

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priyanka said: (11:00pm on Wednesday 1st July 2015)
the given matrix is referred as lower triangular matrix . then the determinant of that type of matrix is the product of diagonal elementsfrom the above given matrix, the diagonal elements are 1,1,1,1the product of 1.1.1.1=1

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22:  

The vector
 
1
2
-1
 
is an eigen vector of

A =
 
-2 2 -3
2 1 -6
-1 -2 0
 


one of the eigen values of A is 

A.

1

B.

2

C.

5

D.

-1

 
 

Option: C

Explanation :

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23:  

Given : A =

 
2 0 0 -1
0 1 0 0
0 0 3 0
-1 0 0 4
 

Sum of the eigen values of the matrix A is

A.

10

B.

-10

C.

24

D.

22

 
 

Option: A

Explanation :

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24:  

Given: Matrix A =

 
1 6 1
1 2 0
0 0 3
 

the Largest eigen value is

A.

1

B.

2

C.

3

D.

4

 
 

Option: D

Explanation :

Now 
 
1-λ 1 1
1 1-λ 1
1 1 1-λ
 
= 0

 

 ⇒
 
3-λ 3-λ 3-λ
1 1-λ 1
1 1 1-λ
 
= 0
 ⇒ 3-λ
1 1 1
1 1-λ 1
1 1 1-λ
= 0

 

 ⇒ 3-λ
1 0 0
1 1
1 0 λ
= 0

Hence eigen values are 0,0,3

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25:  

Corresponding to highest eigen value the eigenvector is

 

A.

B.

C.

D.

 
 

Option: C

Explanation :

Repeating above procedure, we get successively

It follows that the largest eignevalue is 4 and corresponding eigenvector is 

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