Efficiently Finding All Minimal and Shortest Absent Subsequences in a String

Florin Manea; Tina Ringleb; Stefan Siemer; Maximilian Winkler

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arXiv · 2504.21471

Efficiently Finding All Minimal and Shortest Absent Subsequences in a String

Florin Manea·Tina Ringleb·Stefan Siemer·Maximilian Winkler

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Abstract

Given a string $w$, another string $v$ is said to be a subsequence of $w$ if $v$ can be obtained from $w$ by removing some of its letters; on the other hand, $v$ is called an absent subsequence of $w$ if $v$ is not a subsequence of $w$. The existing literature on absent subsequences focused on understanding, for a string $w$, the set of its shortest absent subsequences (i.e., the shortest strings which are absent subsequences of $w$) and that of its minimal absent subsequences (i.e., those strings which are absent subsequences of $w$ but whose every proper subsequence occurs in $w$). Our contributions to this area of research are the following. Firstly, we present optimal algorithms (with linear time preprocessing and output-linear delay) for the enumeration of the shortest and, respectively, minimal absent subsequences. Secondly, we present optimal algorithms for the incremental enumeration of these strings with linear time preprocessing and constant delay; in this setting, we only output short edit-scripts showing how the currently enumerated string differs from the previous one. Finally, we provide an efficient algorithm for identifying a longest minimal absent subsequence of a string. All our algorithms improve the state-of-the-art results for the aforementioned problems.

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Florin Manea, Tina Ringleb, Stefan Siemer, Maximilian Winkler. 2025-04-30. Efficiently Finding All Minimal and Shortest Absent Subsequences in a String. https://arxiv.org/abs/2504.21471

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