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Circuit topology of linear polymers: a statistical mechanical treatment

机译:线性聚合物的电路拓扑:统计机械处理

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摘要

Circuit topology refers to the arrangement of interactions between objects belonging to a linearly ordered object set. Linearly ordered sets of objects are common in nature and occur in a wide range of applications in economics, computer science, social science and chemical synthesis. Examples include linear biopolymers, linear signaling pathways in cells as well as topological sorts appearing in project management. Using a statistical mechanical treatment, we study circuit topology landscapes of linear polymer chains with intra-chain contacts as a prototype of linearly sorted objects with interactions. We find generic features of the topological space and study the statistical properties of the space under the most basic constraints on the occupancy of arrangements and topological interactions. We observe that a set of correlated contact sites (a sector) could nontrivially influence the entropy of circuits as the number of involved sites increases. Finally, we discuss how constraints can be inferred from the information provided by local contact distributions in the presence of a sector.
机译:电路拓扑是指属于线性排序对象集的对象之间的交互安排。线性排序的对象集在自然界中很常见,并且广泛用于经济学,计算机科学,社会科学和化学合成中。示例包括线性生物聚合物,细胞中的线性信号传导途径以及项目管理中出现的拓扑类型。使用统计机械处理,我们研究具有链内接触的线性聚合物链的电路拓扑图,将其作为具有相互作用的线性排序对象的原型。我们发现拓扑空间的一般特征,并在对布局的占用和拓扑相互作用最基本的限制下研究该空间的统计特性。我们观察到,随着所涉及的站点数量的增加,一组相关的联系站点(一个扇区)可能会对电路的熵产生重要影响。最后,我们讨论在存在扇区的情况下如何从本地联系人分布提供的信息中推断约束。

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