Clustering and Arnoux-Rauzy words

ADVANCES IN APPLIED MATHEMATICS(2024)

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摘要
We characterize the clustering of a word under the Burrows -Wheeler transform in terms of the resolution of a bounded number of bispecial factors belonging to the language generated by all its powers. We use this criterion to compute, in every given Arnoux-Rauzy language on three letters, an ex-plicit bound K such that each word of length at least K is not clustering; this bound is sharp for a set of Arnoux-Rauzy languages including the Tribonacci one. In the other direction, we characterize all standard Arnoux-Rauzy clustering words, and all perfectly clustering Arnoux-Rauzy words. We extend some results to episturmian languages, characterizing those which produce infinitely many clustering words, and to larger alphabets.(c) 2023 Elsevier Inc. All rights reserved.
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