00:01
So, in this portion let us done the step 1 it will be calculating eigen values and it will be a equals to here is minus 1 4 minus 3 and here will be minus 4 minus 10 and 4 and here comes out minus 3 minus 4 and minus 1.
00:37
So, from here x equals to x 1 x 2 and here x 3.
00:51
So, v equals to 0 3 and 1.
00:57
So, the eigen value that will be a minus lambda i equals to 0.
01:10
So, eigen will be equals to 1 0 0 0 1 0 and here 0 0 1 and here it will be minus 1 4 minus 3 there is minus 4 minus 10 and 4 and here will be minus 3 minus 4 and minus 1 minus lambda 0 0 0 lambda 0 here will be 0 0 lambda equals to 0.
02:05
So, that comes out minus 1 minus lambda 4 minus 3 and here will be minus 4 minus 10 minus lambda here is 4 here will be minus 3 minus 4 and minus 1 minus lambda and that will be equals to 0.
02:31
So, from this minus 1 minus lambda multiplied by 10 plus lambda here is 1 plus lambda plus 16 plus 4 multiplied by minus 4 multiplied by 1 plus lambda minus 12 minus 3 multiplied by 16 plus 10 plus lambda multiplied by 3 equals to 0 that will be minus 1 minus lambda multiplied by 10 plus 7 lambda plus lambda square plus 16 plus 4 minus 4 minus lambda minus 12 minus 3 16 plus 30 plus 3 lambda equals to 0.
03:46
So, it will be equals to minus 10 minus lambda minus 11 lambda minus lambda square minus 16 minus 10 lambda minus 11 lambda square minus lambda cube minus 16 lambda minus 4 lambda minus 64 minus 138 minus 9 lambda equals to 0 and that will be equals to minus lambda cube minus 12 lambda square minus 50 lambda minus 228 and that is equals to 0.
04:33
So, it will be equals to lambda cube plus 12 lambda square plus 50 lambda plus 228 equals to 0...