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Avoiding approximate repetitions with respect to the longest common subsequence distance

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Author

Camungol, Serina
Rampersad, Narad

Uri

http://hdl.handle.net/10680/1406

Date

2015-09-17

Doi

10.2140/involve.2016.9.657

Citation

Camungol, S., and N. Rampersad. “Avoiding approximate repetitions with respect to the longest common subsequence distance.” Involve 9 (2016): 657-666. DOI: 10.2140/involve.2016.9.657.

Abstract

Ochem, Rampersad, and Shallit gave various examples of infinite words avoiding what they called approximate repetitions. An approximate repetition is a factor of the form x x', where x and x' are close to being identical. In their work, they measured the similarity of x and x' using either the Hamming distance or the edit distance. In this paper, we show the existence of words avoiding approximate repetitions, where the measure of similarity between adjacent factors is based on the length of the longest common subsequence. Our principal technique is the so-called “entropy compression” method, which has its origins in Moser and Tardos’s algorithmic version of the Lovász local lemma.

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