以Lebesgue测度理论为基础,利用所定义迭代函数系(IFS)算子范数:‖fi1i2…in‖=‖fi1i2…in[X]‖=F^k(fi1i2…in[X]),和不完全规范化理论等相关数学概念,分别研究了低维与高维的自相似IFS上概率的不完全规范性,并以Cantor三分集,Sirpinski垫片为例阐述了其在实际中的应用。
Based on the theory of Lebesgue measure,the incomplete normalization of probability on self- similar Iterated Function Systems (IFS) with low and high dimensions is investigated by using newly defined operator norm on IFS: ‖fi1i2…in‖=‖fi1i2…in[X]‖=F^k(fi1i2…in[X] , the incomplete normanization theory, and some related mathematical conceptions. Further, its application is described through Contor Division Set and Sirpinski Gasket.