A CHARACTERIZATION OF REVERSIBLE MARKOV-CHAINS BY A ROTATIONAL REPRESENTATION

成果类型:
Article
署名作者:
DELTIO, PR; BLANCO, MCV
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176990443
发表日期:
1991
页码:
605-608
关键词:
stochastic matrices
摘要:
Let P = (p(ij)), i,j = 1,2,...,n be the matrix of a recurrent Markov chain with stationary vector upsilon > 0 and let R = (r(ij)), i, j = 1,2,...,n be a matrix, where r(ij) = upsilon-(i)p(ij). If R is a symmetric matrix, we improve Alpern's rotational representation of P. By this representation we characterize the reversible Markov chains.