Show simple item record

dc.contributor.authorCamungol, Serina
dc.contributor.authorRampersad, Narad
dc.date.accessioned2018-03-15T16:42:07Z
dc.date.available2018-03-15T16:42:07Z
dc.date.issued2015-09-17
dc.identifier.citationCamungol, 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.en_US
dc.identifier.issn1944-4176
dc.identifier.urihttp://hdl.handle.net/10680/1406
dc.description.abstractOchem, 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.en_US
dc.description.sponsorshipRampersad is supported by an NSERC Discovery Grant.en_US
dc.description.urihttps://msp.org/involve/2016/9-4/p07.xhtml
dc.language.isoenen_US
dc.publisherMathematical Sciences Publishersen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectapproximate repetitionen_US
dc.subjectlongest common subsequence
dc.subjectentropy compression
dc.titleAvoiding approximate repetitions with respect to the longest common subsequence distanceen_US
dc.typeArticleen_US
dc.identifier.doi10.2140/involve.2016.9.657


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record