Abstract
Two main methods are used to solve continuous-time quasi birth-and-death processes: matrix geometric (MG) and probability generating functions (PGFs). MG requires a numerical solution (via successive substitutions) of a matrix quadratic equation A0 + RA1 + R2A2 = 0. PGFs involve a row vector
$\vec{G}(z)$
of unknown generating functions satisfying
$H(z)\vec{G}{(z)^\textrm{T}} = \vec{b}{(z)^\textrm{T}},$
where the row vector
$\vec{b}(z)$
contains unknown “boundary” probabilities calculated as functions of roots of the matrix H(z). We show that: (a) H(z) and
$\vec{b}(z)$
can be explicitly expressed in terms of the triple A0, A1, and A2; (b) when each matrix of the triple is lower (or upper) triangular, then (i) R can be explicitly expressed in terms of roots of
$\det [H(z)]$
; and (ii) the stability condition is readily extracted.
Publisher
Cambridge University Press (CUP)
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability
Cited by
14 articles.
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