Sources of Superlinearity in Davenport-Schinzel Sequences
Seth Pettie

TL;DR
This paper identifies specific forbidden subsequences that cause superlinear growth in the maximum length of Davenport-Schinzel sequences, introducing a new coding method for representing these sequences.
Contribution
It uncovers an infinite family of superlinear forbidden subsequences and presents a novel succinct coding scheme for their representation.
Findings
17 prototypical superlinear forbidden subsequences identified
Some sequences can be extended arbitrarily long with padding
New coding method for representing superlinear subsequences
Abstract
A generalized Davenport-Schinzel sequence is one over a finite alphabet that contains no subsequences isomorphic to a fixed forbidden subsequence. One of the fundamental problems in this area is bounding (asymptotically) the maximum length of such sequences. Following Klazar, let Ex(\sigma,n) be the maximum length of a sequence over an alphabet of size n avoiding subsequences isomorphic to \sigma. It has been proved that for every \sigma, Ex(\sigma,n) is either linear or very close to linear; in particular it is O(n 2^{\alpha(n)^{O(1)}}), where \alpha is the inverse-Ackermann function and O(1) depends on \sigma. However, very little is known about the properties of \sigma that induce superlinearity of \Ex(\sigma,n). In this paper we exhibit an infinite family of independent superlinear forbidden subsequences. To be specific, we show that there are 17 prototypical superlinear forbidden…
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Taxonomy
Topicsgraph theory and CDMA systems · Computational Geometry and Mesh Generation · Advanced Graph Theory Research
