
arXiv: 2103.03468
We consider the communication complexity of the Hamming distance of two strings. Bille et al. [SPIRE 2018] considered the communication complexity of the longest common prefix (LCP) problem in the setting where the two parties have their strings in a compressed form, i.e., represented by the Lempel-Ziv 77 factorization (LZ77) with/without self-references. We present a randomized public-coin protocol for a joint computation of the Hamming distance of two strings represented by LZ77 without self-references. Although our scheme is heavily based on Bille et al.’s LCP protocol, our complexity analysis is original which uses Crochemore’s C-factorization and Rytter’s AVL-grammar. As a byproduct, we also show that LZ77 with/without self-references are not monotonic in the sense that their sizes can increase by a factor of 4/3 when a prefix of the string is removed.
FOS: Computer and information sciences, Industrial engineering. Management engineering, QA75.5-76.95, T55.4-60.8, Computational Complexity (cs.CC), Lempel-Ziv compression, <i>Hamming distance</i>, Computer Science - Computational Complexity, Hamming distance, Electronic computers. Computer science, Computer Science - Data Structures and Algorithms, communication complexity, Data Structures and Algorithms (cs.DS)
FOS: Computer and information sciences, Industrial engineering. Management engineering, QA75.5-76.95, T55.4-60.8, Computational Complexity (cs.CC), Lempel-Ziv compression, <i>Hamming distance</i>, Computer Science - Computational Complexity, Hamming distance, Electronic computers. Computer science, Computer Science - Data Structures and Algorithms, communication complexity, Data Structures and Algorithms (cs.DS)
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