Set Partitions inR

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چکیده

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Set Partitions in R

This short paper introduces a code snippet in the form of an R function that enumerates all possible partitions of a finite set given the sizes of the equivalence classes. Three combinatorial problems are solved using the software: one from bioinformatics, one from scheduling theory, and one from forensic science.

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A partition of [n] = {1, 2, . . . , n} is a decomposition of [n] into nonempty subsets called blocks. We will make use of the canonical representation of a partition as a word over a finite alphabet, known as a restricted growth function. An element ai in such a word π is a strong (weak) record if ai > aj (ai > aj) for all j = 1, 2, . . . , i−1. Furthermore, the position of this record is i. We...

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Using an analytic method, we derive an alternative formula for the probability that a geometrically distributed word of length n possesses the restricted growth property. Equating our result with a previously known formula yields an algebraic identity involving alternating sums of binomial coefficients via a probabilistic argument. In addition, we consider refinements of our formula obtained by...

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The study of patterns in permutations is a very active area of current research. Klazar defined and studied an analogous notion of pattern for set partitions. We continue this work, finding exact formulas for the number of set partitions which avoid certain specific patterns. In particular, we enumerate and characterize those partitions avoiding any partition of a 3-element set. This allows us ...

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Let π be a set partition of [n] = {1, 2, . . . , n}. The standard representation of π is the graph on the vertex set [n] whose edges are the pairs (i, j) of integers with i < j in the same block which does not contain any integer between i and j. The front representation of π is the graph on the vertex set [n] whose edges are the pairs (i, j) of integers with i < j in the same block whose small...

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ژورنال

عنوان ژورنال: Journal of Statistical Software

سال: 2007

ISSN: 1548-7660

DOI: 10.18637/jss.v023.c02