Locally Convex Words and Permutations
Christopher Coscia, Jonathan DeWitt

TL;DR
This paper introduces new classes of words and permutations based on a second difference convexity condition, providing generating functions, explicit formulas, and asymptotic bounds for their enumeration.
Contribution
It defines the $k$-convexity condition for words and permutations, derives generating functions, and establishes asymptotic growth rates for specific cases, connecting to integer partitions.
Findings
Explicit formula for 0-convex words on fixed alphabets
Asymptotic bounds for 1-convex and 2-convex permutations
Generating functions similar to continued fractions
Abstract
We introduce some new classes of words and permutations characterized by the second difference condition , which we call the -convexity condition. We demonstrate that for any sized alphabet and convexity parameter , we may find a generating function which counts -convex words of length . We also determine a formula for the number of 0-convex words on any fixed-size alphabet for sufficiently large by exhibiting a connection to integer partitions. For permutations, we give an explicit solution in the case and show that the number of 1-convex and 2-convex permutations of length are and , respectively, and use the transfer matrix method to give tight bounds on the constants and . We also providing generating functions similar to the the continued fraction generating functions studied…
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · semigroups and automata theory · Algorithms and Data Compression
