Substring Complexity in BWT-Runs Bounded Space

Given a string $T[1..n]$, its substring complexity is defined as $δ=\max_k d_k/k$, where $d_k$ is the number of its distinct substrings of length $k$ in $T$. We show how to compute it in $O(n+r\log r)$ time, using only $O(r)$ words of space, where $r$ denotes the number of runs in the Burrows-Wheeler transform.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-29
DOI
https://doi.org/10.48550/arxiv.2610.39482
Primary Topic
Algorithms and Data Compression
Type
preprint
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preprint

Substring Complexity in BWT-Runs Bounded Space

Johannes Fischer
arXiv (Cornell University)
Algorithms and Data Compression
preprint

Substring Complexity in BWT-Runs Bounded Space

Johannes Fischer
preprint en

Abstract

Given a string $T[1..n]$, its substring complexity is defined as $δ=\max_k d_k/k$, where $d_k$ is the number of its distinct substrings of length $k$ in $T$. We show how to compute it in $O(n+r\log r)$ time, using only $O(r)$ words of space, where $r$ denotes the number of runs in the Burrows-Wheeler transform.

arXiv (Cornell University)
Algorithms and Data Compression
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Substring Complexity in BWT-Runs Bounded Space — Johannes Fischer · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS