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Autori principali: Shibata, Hiroki, Bannai, Hideo
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2604.04377
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author Shibata, Hiroki
Bannai, Hideo
author_facet Shibata, Hiroki
Bannai, Hideo
contents Repetitiveness measures quantify how much repetitive structure a string contains and serve as parameters for compressed representations and indexing data structures. We study the measure $χ$, defined as the size of the smallest suffixient set. Although $χ$ has been studied extensively, its reachability, whether every string $w$ admits a string representation of size $O(χ(w))$ words, has remained an important open problem. We answer this question affirmatively by presenting the first such representation scheme. Our construction is based on a new model, the substring equation system (SES), and we show that every string admits an SES of size $O(χ(w))$.
format Preprint
id arxiv_https___arxiv_org_abs_2604_04377
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle String Representation in Suffixient Set Size Space
Shibata, Hiroki
Bannai, Hideo
Data Structures and Algorithms
Repetitiveness measures quantify how much repetitive structure a string contains and serve as parameters for compressed representations and indexing data structures. We study the measure $χ$, defined as the size of the smallest suffixient set. Although $χ$ has been studied extensively, its reachability, whether every string $w$ admits a string representation of size $O(χ(w))$ words, has remained an important open problem. We answer this question affirmatively by presenting the first such representation scheme. Our construction is based on a new model, the substring equation system (SES), and we show that every string admits an SES of size $O(χ(w))$.
title String Representation in Suffixient Set Size Space
topic Data Structures and Algorithms
url https://arxiv.org/abs/2604.04377