00:01
Hi, let's start the solution.
00:02
In this question we have given matrix a is 4 1 minus 2 1.
00:07
Then question says that check matrix a is diagonalizable or not.
00:11
So to check matrix is diagonalizable or not, first we find the eigenvalues of matrix a.
00:17
So, determinant a minus lambda i is 0.
00:22
So we get determinant a is 4 1 minus 2 1 minus 2 .1 minus 1 minus lambda identity of 2 cross 2 matrix is 1 .0.
00:30
0 1 equal to 0 so here we get determinant 4 minus lambda 1 minus 2 1 minus lambda equal to 0 we know that determinant of 2 cross 2 matrix is a cross multiplication so we get 4 minus lambda into 1 minus lambda plus 2 equal to 0 by simplifying this here we get this 1 is 4 into 1 is 4 minus 4 lambda plus lambda plus lambda equal to 0 so here we get lambda square minus 5 lambda plus 6 equal to 0 now factorize that characteristic equation then we get lambda minus 2 into lambda minus 3 equal to 0 so that means here we have lambda minus 2 equal to 0 a lambda minus 3 equal to 0 so we get lambda is equal to 2 and lambda equal to 3 so here we see that eigen values of matrix a is 2 and 3 which is distinct.
01:42
So by result when eigenvalues of matrix a is distinct then matrix a is diagonalizable.
01:58
Next question says that next we find eigen factors.
02:07
So for eigenvctors put first lambda is 3 then we get 4 minus lambda 1.
02:14
Minus 2 1 minus lambda which is equal to 1 1 minus 2 minus minus minus so now we reduce this matrix in a row reduced accolent form.
02:35
So here we get 1 minus 2 0 0 into x1 x2 is 0 0.
02:45
So because for eigenvactor a minus a minus lambda are into x is 0 so from here we get x1 is 2 t and x2 is t so we get eigenvactor x is 2 t so that means 2 .1 t 2 .1 is a null space of this matrix next for lambda equal to 2 we get 4 minus lambda 1 minus 2 1 minus lambda is equal to 2 1 minus 2 1 minus 2 1.
03:37
Now reduce this matrix in a row echolent form.
03:42
Then we get 1 minus 1 0 0 into x 1 x2 is 0.
03:53
So from here we get factor x is t...