TY - JOUR
T1 - On first passage time structure of random walks
AU - Sumita, Ushio
AU - Masuda, Yasushi
PY - 1985/7
Y1 - 1985/7
N2 - For continuous time birth-death processes on {0,1,2,...}, the first passage time T+n from n to n + 1 is always a mixture of (n + 1) independent exponential random variables. Furthermore, the first passage time T0,n+1 from 0 to (n + 1) is always a sum of (n + 1) independent exponential random variables. The discrete time analogue, however, does not necessarily hold in spite of structural similarities. In this paper, some necessary and sufficient conditions are established under which T+n and T0,n+1 for discrete time birth-death chains become a mixture and a sum, respectively, of (n + 1) independent geometric random variables on {1,2,...};. The results are further extended to conditional first passage times.
AB - For continuous time birth-death processes on {0,1,2,...}, the first passage time T+n from n to n + 1 is always a mixture of (n + 1) independent exponential random variables. Furthermore, the first passage time T0,n+1 from 0 to (n + 1) is always a sum of (n + 1) independent exponential random variables. The discrete time analogue, however, does not necessarily hold in spite of structural similarities. In this paper, some necessary and sufficient conditions are established under which T+n and T0,n+1 for discrete time birth-death chains become a mixture and a sum, respectively, of (n + 1) independent geometric random variables on {1,2,...};. The results are further extended to conditional first passage times.
KW - PF
KW - birth-death processes
KW - complete monotonicity
KW - conditional first passage time
KW - discrete time birth-death chains
KW - first passage times
KW - strong unimodality
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U2 - 10.1016/0304-4149(85)90021-3
DO - 10.1016/0304-4149(85)90021-3
M3 - Article
AN - SCOPUS:0039369748
SN - 0304-4149
VL - 20
SP - 133
EP - 147
JO - Stochastic Processes and their Applications
JF - Stochastic Processes and their Applications
IS - 1
ER -