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Tight Bounds for the Number of Absent Subsequences

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abstract

A {\em subsequence} of a word $w$ is a word $u$ that can be obtained by deleting some letters from $w$ while maintaining the relative order of the remaining letters, e.g., $\mathtt{lala}$ is a subsequence of $\mathtt{alfalfa}$. A word, over some alphabet $\Sigma$, which has all possible words of length $\iota$ over $\Sigma$ as subsequences is called $\iota$-universal, and the largest $\iota$ for which this holds is called the universality index of $w$, and denoted $\iota(w)$. Moreover, words that are not subsequences of $w$ are called absent subsequences (AS) of $w$, and their investigation was started in (Kosche et al., 2022). In this paper, we present tight bounds on the number of AS of a given length $k$ among all words with the same universality index $\iota$. For both the lower and upper bound, we construct words that have, respectively, a minimal and maximal number of absent subsequences of the respective length $k$, and, in the case of the lower bound, we provide the exact number of missing subsequences as a closed form. Finally, we present efficient enumeration algorithms for the set of subsequences of given length of a word: we give a novel, optimal enumeration algorithm with output linear delay of this set of subsequences, with preprocessing time $O(|w|)$, which is further improved to an incremental enumeration algorithm with $O(1)$ delay of this set of subsequences, with preprocessing time $O(|w|)$.

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math.CO 1

years

2025 1

verdicts

CONDITIONAL 1

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Jumbled Scattered Factors

math.CO · 2025-06-04 · conditional · novelty 4.0

Jumbled scattered factors are words whose letter counts fit inside another word, with a jumble index equal to |u| minus the length of a longest common scattered factor.

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  • Jumbled Scattered Factors math.CO · 2025-06-04 · conditional · none · ref 2 · internal anchor

    Jumbled scattered factors are words whose letter counts fit inside another word, with a jumble index equal to |u| minus the length of a longest common scattered factor.