recurrent and transient classes of Markov matrix
[perm,rec,tr,indsRec,indsT]=classmarkov(M)
: :perm integer permutation vector. : :rec, tr integer vector, number (number of states in each recurrent
classes, number of transient states).
:
Returns a permutation vector perm such that
M(perm,perm) = [M11 0 0 0 0 0]
[0 M22 0 0 0]
[0 0 M33 0]
[ ... ]
[0 0 Mrr 0]
[* * * Q]
Each Mii is a Markov matrix of dimension rec(i) i=1,..,r. Q is sub-Markov matrix of dimension tr. States 1 to sum(rec) are recurrent and states from r+1 to n are transient. One has perm=[indsRec,indsT] where indsRec is a vector of size sum(rec) and indsT is a vector of size tr.
//P has two recurrent classes (with 2 and 1 states) 2 transient states
P=`genmarkov`_([2,1],2,'perm')
[perm,rec,tr,indsRec,indsT]=classmarkov(P);
P(perm,perm)