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Invariant distributions for shapes in sequences of randomly-divided rectangles

机译:随机划分的矩形序列中形状的不变分布

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Interest has been shown in Markovian sequences of geometric shapes. Mostly the equations for invariant probability measures over shape space are extremely complicated and multidimensional. This paper deals with rectangles which have a simple one-dimensional shape descriptor. We explore the invariant distributions of shape under a variety of randomised rules for splitting the rectangle into two sub-rectangles, with numerous methods for selecting the next shape in sequence. Many explicit results emerge. These help to fill a vacant niche in shape theory, whilst contributing at the same time, new distributions on [0,1] and interesting examples of Markov processes or, in the language of another discipline, of stochastic dynamical systems. [References: 11]
机译:人们对马尔可夫几何形状序列表现出了兴趣。通常,形状空间上不变概率测度的方程非常复杂且是多维的。本文讨论具有简单一维形状描述符的矩形。我们探索了在各种将矩形分成两个子矩形的随机规则下的形状不变分布,并采用了多种方法来依次选择下一个形状。出现了许多明确的结果。这些有助于填补形状理论中的空白,同时又为[0,1]上的新分布和马尔可夫过程的有趣示例,或者用另一门学科的语言,为随机动力系统做出了贡献。 [参考:11]

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