Markov Characteristics for IFSP and IIFSP

As the research object of modern nonlinear science‎, ‎a fractal theory has been an important research‎ ‎content for scholars since it comes into the world‎. ‎Moreover‎, ‎iterated function system (IFS) is a significant research object of fractal theory‎. ‎On the other hand‎, ‎the Markov process plays...

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Bibliographic Details
Main Authors: Nan Jiang, Wei Li, Fei Li, Juntao Wang
Format: Article
Language:English
Published: Islamic Azad University, Bandar Abbas Branch 2022-11-01
Series:Transactions on Fuzzy Sets and Systems
Subjects:
Online Access:https://tfss.journals.iau.ir/article_692670_1fd135261135829c9ebe426f6cd201b7.pdf
Description
Summary:As the research object of modern nonlinear science‎, ‎a fractal theory has been an important research‎ ‎content for scholars since it comes into the world‎. ‎Moreover‎, ‎iterated function system (IFS) is a significant research object of fractal theory‎. ‎On the other hand‎, ‎the Markov process plays an important role in the stochastic process‎. ‎In this paper‎, ‎the iterated function system with probability(IFSP) and the infinite function system with‎ ‎probability(IIFSP) are investigated by using interlink‎, ‎period‎, ‎recurrence and some related concepts‎. ‎Then‎, ‎some important properties are obtained‎, ‎such as‎: ‎1‎. ‎The sequence of stochastic variable $\{\zeta_{n},(n\geq 0)\}$‎ ‎is a homogenous Markov chain‎. ‎2‎. ‎The sequence of stochastic variable $\{\zeta_{n},(n\geq 0)\}$ is an irreducible ergodic chain‎. ‎3‎. ‎The distribution of transition probability $ p_{ij}^{(n)}$ based on $n\rightarrow\infty $ is a stationary probability distribution‎. ‎4‎. ‎The state space can be decomposed of the union of the finite(or countable) mutually disjoint subsets‎, ‎which are composed of non-recurrence states and recurrence states respectively‎.
ISSN:2821-0131