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Standard tri-point transition function
引用本文:XIE Yuquan School of Mathematics and Computational Science,Xiangtan University,Xiangtan 411105,China. Standard tri-point transition function[J]. 中国科学A辑(英文版), 2005, 48(7): 904-914. DOI: 10.1007/BF02879073
作者姓名:XIE Yuquan School of Mathematics and Computational Science  Xiangtan University  Xiangtan 411105  China
作者单位:XIE Yuquan School of Mathematics and Computational Science,Xiangtan University,Xiangtan 411105,China
摘    要:It is usually difficult to express a family of tri-point transition function (TTF) by a transition matrix as Markov processes with one parameter. In this paper, we define three kinds of connection matrixes on the states of standard tri-point transition function (STTF) and study their essential character, give a constructive method on the constant-value standard tri-point transition function and a general expression of the state-symmetric standard tri-point transition function by a sequence of the transition matrixes of special and simple Markov processes with one parameter.

收稿时间:2004-03-08

Standard tri-point transition function
XIE Yuquan. Standard tri-point transition function[J]. Science in China(Mathematics), 2005, 48(7): 904-914. DOI: 10.1007/BF02879073
Authors:XIE Yuquan
Affiliation:School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China
Abstract:It is usually difficult to express a family of tri-point transition function (TTF) by a transition matrix as Markov processes with one parameter. In this paper, we define three kinds of connection matrixes on the states of standard tri-point transition function (STTF) and study their essential character, give a constructive method on the constant-value standard tri-point transition function and a general expression of the state-symmetric standard tri-point transition function by a sequence of the transition matrixes of special and simple Markov processes with one parameter.
Keywords:tri-point transition function   standard   constant-value   state-symmetry   connection matrix   Markov processes.
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