Park Paul P, Lynn Thomas F, Umbanhowar Paul B, Ottino Julio M, Lueptow Richard M
Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, Illinois 60208, USA.
Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, USA.
Phys Rev E. 2017 Apr;95(4-1):042208. doi: 10.1103/PhysRevE.95.042208. Epub 2017 Apr 14.
Mathematical concepts often have applicability in areas that may have surprised their original developers. This is the case with piecewise isometries (PWIs), which transform an object by cutting it into pieces that are then rearranged to reconstruct the original object, and which also provide a paradigm to study mixing via cutting and shuffling in physical sciences and engineering. Every PWI is characterized by a geometric structure called the exceptional set, E, whose complement comprises nonmixing regions in the domain. Varying the parameters that define the PWI changes both the structure of E as well as the degree of mixing the PWI produces, which begs the question of how to determine which parameters produce the best mixing. Motivated by mixing of yield stress materials, for example granular media, in physical systems, we use numerical simulations of PWIs on a hemispherical shell and examine how the fat fractal properties of E relate to the degree of mixing for any particular PWI. We present numerical evidence that the fractional coverage of E negatively correlates with the intensity of segregation, a standard measure for the degree of mixing, which suggests that fundamental properties of E such as fractional coverage can be used to predict the effectiveness of a particular PWI as a mixing mechanism.
数学概念往往在一些可能令其最初开发者感到惊讶的领域具有适用性。分段等距变换(PWIs)便是如此,它通过将一个物体切割成若干部分,然后重新排列这些部分以重构原始物体来对物体进行变换,并且还为通过物理科学和工程中的切割与洗牌来研究混合提供了一种范式。每个分段等距变换都由一种称为例外集(E)的几何结构来表征,其补集包含定义域中的非混合区域。改变定义分段等距变换的参数会改变例外集(E)的结构以及分段等距变换产生的混合程度,这就引出了一个问题:如何确定哪些参数能产生最佳混合效果。受物理系统中屈服应力材料(例如颗粒介质)混合的启发,我们对半球形壳上的分段等距变换进行了数值模拟,并研究例外集(E)的胖分形性质与任何特定分段等距变换的混合程度之间的关系。我们给出了数值证据,表明例外集(E)的分数覆盖率与分离强度呈负相关,分离强度是混合程度的一种标准度量,这表明例外集(E)的基本性质(如分数覆盖率)可用于预测特定分段等距变换作为混合机制的有效性。