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Matrix geometric method : ウィキペディア英語版
Matrix geometric method
In probability theory, the matrix geometric method is a method for the analysis of quasi-birth–death processes, continuous-time Markov chain whose transition rate matrices with a repetitive block structure. The method was developed "largely by Marcel F. Neuts and his students starting around 1975."
==Method description==

The method requires a transition rate matrix with tridiagonal block structure as follows
::Q=\begin
B_ & B_ \\
B_ & A_1 & A_2 \\
& A_0 & A_1 & A_2 \\
&& A_0 & A_1 & A_2 \\
&&& A_0 & A_1 & A_2 \\
&&&& \ddots & \ddots & \ddots
\end
where each of ''B''00, ''B''01, ''B''10, ''A''0, ''A''1 and ''A''2 are matrices. To compute the stationary distribution ''π'' writing ''π'' ''Q'' = 0 the balance equations are considered for sub-vectors ''π''''i''
::\begin
\pi_0 B_ + \pi_1 B_ &= 0\\
\pi_0 B_ + \pi_1 A_1 + \pi_2 A_0 &= 0\\
\pi_1 A_2 + \pi_2 A_1 + \pi_3 A_0 &= 0 \\
& \vdots \\
\pi_ A_2 + \pi_i A_1 + \pi_ A_0 &= 0\\
& \vdots \\
\end
Observe that the relationship
::\pi_i = \pi_1 R^
holds where ''R'' is the Neut's rate matrix, which can be computed numerically. Using this we write
::\begin
\begin\pi_0 & \pi_1 \end
\beginB_ & B_ \\ B_ & A_1 + RA_0 \end
= \begin 0 & 0 \end
\end
which can be solve to find ''π''0 and ''π''1 and therefore iteratively all the ''π''''i''.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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