Markov Characteristics for IFSP and IIFSP
عنوان مقاله: Markov Characteristics for IFSP and IIFSP
شناسه ملی مقاله: JR_TFSS-1-2_008
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_TFSS-1-2_008
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Nan Jiang - School of Science Xi۰۳۹;an Shiyou University Xi۰۳۹;an, China
Wei Li - Institute for Advanced Studies in The History of Science Northwest University Xi۰۳۹;an, China
Fei Li - School of Science Xi۰۳۹;an Shiyou University Xi۰۳۹;an, China
Juntao Wang - School of Science Xi۰۳۹;an Shiyou University Xi۰۳۹;an, China
خلاصه مقاله:
Nan Jiang - School of Science Xi۰۳۹;an Shiyou University Xi۰۳۹;an, China
Wei Li - Institute for Advanced Studies in The History of Science Northwest University Xi۰۳۹;an, China
Fei Li - School of Science Xi۰۳۹;an Shiyou University Xi۰۳۹;an, China
Juntao Wang - School of Science Xi۰۳۹;an Shiyou University Xi۰۳۹;an, China
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: ۱. The sequence of stochastic variable \{\zeta_{n},(n\geq ۰)\} is a homogenous Markov chain. ۲. The sequence of stochastic variable \{\zeta_{n},(n\geq ۰)\} is an irreducible ergodic chain. ۳. The distribution of transition probability p_{ij}^{(n)} based on n\rightarrow\infty is a stationary probability distribution. ۴. 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.
کلمات کلیدی: Fractal, Markov process, Iterated function system, Probability
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1589899/