Baz mashghatono avordin inja?
Agha Shoja jaan, I did not know that about you. I knew there was a reason I liked you. Now, you only need to give up supporting Taj.
Okay Zopyrus jaan, I will help you this time
I can justify it with providing additional info, with the hope of a deeper understanding and not helping you solve a problem.
Eigen values and their associated eigenvectors come from the solutions to the homogenous equations with nontrivial solutions (trivial solution would be zero). The following are equivalent:
det(A) does not equal 0.
AX=b is consistent.
To have nontrivial solution (infinitely many solutions) we want the opposite, se we set det(A-LI)=0
Matrix A is
[2 3]
[2 1]
I will use L for Lambda.
Characteristic matrix is [A-LI]
A-LI=
[2-L 3]
[2 1-L]
det(A-LI)= (2-L)(1-L)-6
det(A-LI)= 0, so:
(2-L)(1-L)-6=0
L^2-3L-4=0
L=4 and L=-1
Substitute L=4 and L=-1 into the characteristic matrix to get the characteristic equations.
L=4
[-2 3]
[2 -3]
I will use x and y to avoid subscripts.
-2x+3y=0
2x-3y=0
This systems of equation has infinitely many solutions and needs to be parameterized. This can be done through row-reduction, but for 2 by 2 systems you can pick any of the variables and solve it in terms of the other.
-2x=-3y
x=3/2y
Let y=t, then x=3/2t.
(Note the choice is arbitrary. You can let x=t and solve for y.)
Eigenvector for L=4 thus is:
[3/2t]
[t ]
If you don’t want fractions you can multiply by 2 and get
[3t]
[t]
Let t=1 to get the answer they have.
L=-1
[3 3]
[2 2]
3x+3y=0
2x+2y=0
3x=-3y
x=-y
Let y=t, then x=-t.
Eigenvector for L=-1 thus is:
[-t]
[t ]
and
[t]
[-t]
if you parameterize x. Again both produce the same eigenvectors. Let t=1 and you will get the answers they have.