Module 1:Concepts of Random walks, Markov Chains, Markov Processes
Lecture 4:Markov Process
Now suppose are the eigen values or the characteristics roots of and also assume that and
are the right and left eigen matrix of respectively, then we can easily write: , where and , such that , where is a scalar term, while is a matrix, such that the elements of are given by , where we have the matrix
are the 
eigen values or the characteristics roots of 
and also assume that 
and 
are the right and left eigen matrix of 
respectively, then we can easily write: 
, where 
and 
, such that 
, where 
is a scalar term, while 
is a 
matrix, such that the elements of 
are given by 
, where we have the matrix 
