TY - JOUR
T1 - Bit Catastrophes for the Burrows-Wheeler Transform
AU - Giuliani, Sara
AU - Inenaga, Shunsuke
AU - Lipták, Zsuzsanna
AU - Romana, Giuseppe
AU - Sciortino, Marinella
AU - Urbina, Cristian
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/6
Y1 - 2025/6
N2 - A bit catastrophe, loosely defined, is when a change in just one character of a string causes a significant change in the size of the compressed string. We study this phenomenon for the Burrows-Wheeler Transform (BWT), a string transform at the heart of several of the most popular compressors and aligners today. The parameter determining the size of the compressed data is the number of equal-letter runs of the BWT, commonly denoted r. We exhibit infinite families of strings in which insertion, deletion, resp. substitution of one character increases r from constant to Θ(logn), where n is the length of the string. These strings can be interpreted both as examples for an increase by a multiplicative or an additive Θ(logn)-factor. As regards the multiplicative factor, they attain the upper bound given by Akagi, Funakoshi, and Inenaga [Inf & Comput. 2023] of O(lognlogr), since here r=O(1). We then give examples of strings in which insertion, deletion, resp. substitution of a character increases r by a Θ(n) additive factor. These strings significantly improve the best known lower bound for an additive factor of Ω(logn) [Giuliani et al., SOFSEM 2021].
AB - A bit catastrophe, loosely defined, is when a change in just one character of a string causes a significant change in the size of the compressed string. We study this phenomenon for the Burrows-Wheeler Transform (BWT), a string transform at the heart of several of the most popular compressors and aligners today. The parameter determining the size of the compressed data is the number of equal-letter runs of the BWT, commonly denoted r. We exhibit infinite families of strings in which insertion, deletion, resp. substitution of one character increases r from constant to Θ(logn), where n is the length of the string. These strings can be interpreted both as examples for an increase by a multiplicative or an additive Θ(logn)-factor. As regards the multiplicative factor, they attain the upper bound given by Akagi, Funakoshi, and Inenaga [Inf & Comput. 2023] of O(lognlogr), since here r=O(1). We then give examples of strings in which insertion, deletion, resp. substitution of a character increases r by a Θ(n) additive factor. These strings significantly improve the best known lower bound for an additive factor of Ω(logn) [Giuliani et al., SOFSEM 2021].
KW - Burrows-Wheeler transform
KW - Equal-letter run
KW - Repetitiveness measure
KW - Sensitivity
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U2 - 10.1007/s00224-024-10212-9
DO - 10.1007/s00224-024-10212-9
M3 - Article
AN - SCOPUS:105002950636
SN - 1432-4350
VL - 69
JO - Theory of Computing Systems
JF - Theory of Computing Systems
IS - 2
M1 - 19
ER -