Question Bank (unit-2)
Question-1: Find the characteristic equation of the matrix A:
A =
Sol. The characteristic equation will be-
| = 0
= 0
On solving the determinant, we get
(4-
Or
On solving we get,
Which is the characteristic equation of matrix A.
Question-2: Find the characteristic equation and characteristic roots of the matrix A:
A =
Sol. We know that the characteristic equation of the matrix A will be-
| = 0
So that matrix A becomes,
= 0
Which gives , on solving
(1- = 0
Or
Or (
Which is the characteristic equation of matrix A.
The characteristic roots will be,
( (
(
(
Values of are-
These are the characteristic roots of matrix A.
Question-3: Find out the Eigen values and Eigen vectors of ?
Sol. The Characteristics equation is given by
Or
Hence the Eigen values are 0,0 and 3.
The Eigen vector corresponding to Eigen value is
Where X is the column matrix of order 3 i.e.
This implies that
Here number of unknowns are 3 and number of equation is 1.
Hence we have (3-1)=2 linearly independent solutions.
Let
Thus the Eigen vectors corresponding to the Eigen value are (-1,1,0) and (-2,1,1).
The Eigen vector corresponding to Eigen value is
Where X is the column matrix of order 3 i.e.
This implies that
Taking last two equations we get
Or
Thus the Eigen vectors corresponding to the Eigen value are (3,3,3).
Hence the three Eigen vectors obtained are (-1,1,0), (-2,1,1) and (3,3,3).
Question-4: Find out the Eigen values and Eigen vectors of
Sol. Let A =
The characteristics equation of A is .
Or
Or
Or
Or
The Eigen vector corresponding to Eigen value is
Where X is the column matrix of order 3 i.e.
Or
On solving we get
Thus the Eigen vectors corresponding to the Eigen value is (1,1,1).
The Eigen vector corresponding to Eigen value is
Where X is the column matrix of order 3 i.e.
Or
On solving or .
Thus the Eigen vectors corresponding to the Eigen value is (0,0,2).
The Eigen vector corresponding to Eigen value is
Where X is the column matrix of order 3 i.e.
Or
On solving we get or .
Thus the Eigen vectors corresponding to the Eigen value is (2,2,2).
Hence three Eigen vectors are (1,1,1), (0,0,2) and (2,2,2).
Question-5: Verify the Cayley-Hamilton theorem and find the inverse.
?
Sol. Let A =
The characteristics equation of A is
Or
Or
Or
By Cayley-Hamilton theorem
L.H.S:
= =0=R.H.S
Multiply both side by on
Or
Or [
Or
Question-6: Verify the Cayley-Hamilton theorem and find the inverse.
Sol. The characteristics equation of A is
Or
Or
Or
Or
Or
By Cayley-Hamilton theorem
L.H.S.
=
=
=
Multiply both side with in
Or
Or
=
Question-7: Verify Cayley-Hamilton theorem for matrix A:
A =
Sol. Characteristic equation of matrix A will be,
= 0
(2-
According to Cayley-Hamilton theorem,
…………..(1)
Here we need to verify eq.(1)-
First we will find A² -
A² =
Now,
A³ = A².A =
Equation (1) becomes,
=
=
Hence the Cayley-Hamilton theorem is verified.
Question-8: Examine the following vectors to check whether they linearly dependent or independent and find the relationship if it exists.
Sol. Let us consider the following matrix equation-
………………..(1)
Matrix form of the above equations-
=
Apply
=
Apply
=
Apply
=
Now,
Suppose then
And,
And,
Put these values in equation(1), we get
t is common here, so that
Question-9: suppose you have a matrix A = , then find the linear transformation of A.
Sol. Here we have,
A =
Multiply matrix A by vector (x,y).
X = (x,y)
Ax =
We get, f(x,y) = (2x + y , y , x – 3y)
Which is the linear transformation of matrix A.
Question-10: find the linear transformation of the matrix A.
A =
Sol. We have,
A =
Multiply the matrix by vector x = (x , y , z) , we get
Ax =
= ( )
f(x , y , z) = ( )
Which is the linear transformation of A.
Question-11: Check whether the matrix A is orthogonal or not?
A =
Sol. To check the orthogonality of this matrix , first we need to find AA’
So that,
AA’ =
=
Here AA’ ≠ I
So , we can say that matrix A is not an orthogonal matrix.
Question-12: If the matrix A defines an orthogonal transformation , then show that
+ ( i≠j) i,j = 1 , 2 , 3.
Where A =
Sol. As we know that an orthogonal matrix A ,
AA’ = I = A’A and
We will find AA’,
AA’ = =
A will be orthogonal only if - AA’ = I
In that case, it is only possible when,
= = 1
And,
() = () = () = 0