00:01
Hi, here we are given the absorbing statistic matrix.
00:06
So the absorbing matrix it is 1 .0000, then we have 0 .3, 0 .3, 0 .1, 0 .3 and 0 .1 .2.
00:46
From here now if we divide this matrix, so that will be equivalent as this is i, this is zero matrix, then we get this matrix as r and this matrix as s.
01:09
Therefore, r will be equal to 0 .3 ,1, 0 .6 and 0 .2.
01:20
S matrix will be 0 .3 .3.
01:27
This will be 0 and point.
01:32
Further now we'll find the stable matrix.
01:36
So for that it can be said that consider i minus r.
01:48
The matrix that we get is 0 .7 minus 0 .1 minus 0 .6 and 0 .8.
01:57
I minus r inverse it will be equal to 1 divided by the determinant of this matrix that will be 0 .5 into 0 .8 0 .7 and signs of this will change 0 .6 and 0 .1 so that will be equal to we get this as we'll keep it like this that means 1 by 0 .5 into 1 by 0 .5 into 1.
02:32
To 0 .8, this is 0 .1, this is 0 .6, this is 0 .7.
02:40
So, further it can be said that s into i minus r inverse will be 1 divided by 0 .5 into 0 .3, 0 .3.
02:57
This will be 0 and 0 .2.
03:00
Into 0 .8, this is 0 .1, this is 0 .6 and 0 .7.
03:08
That is equal to 0 .48, 0 .48 .48.
03:15
This will be 0 .36 and 0 .36.
03:21
So therefore, the stable matrix, it will be 1 .000, this is 0 -1 -0 -0 -0 .000...