Compression of enumerations and gain

Fuente: arXiv
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Autores principales: Barmpalias, George, Zhang, Xiaoyan, Zhan, Bohua
Formato: Preprint
Publicado: 2023
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author Barmpalias, George
Zhang, Xiaoyan
Zhan, Bohua
author_facet Barmpalias, George
Zhang, Xiaoyan
Zhan, Bohua
contents We study the compressibility of enumerations in the context of Kolmogorov complexity, focusing on strong and weak forms of compression and their gain: the amount of auxiliary information embedded in the compressed enumeration. The existence of strong compression and weak gainless compression is shown for any computably enumerable (c.e.) set. The density problem of c.e. sets with respect to their prefix complexity is reduced to the question of whether every c.e. set is well-compressible, which we study via enumeration games.
format Preprint
id arxiv_https___arxiv_org_abs_2304_03030
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Compression of enumerations and gain
Barmpalias, George
Zhang, Xiaoyan
Zhan, Bohua
Computation and Language
Information Theory
Logic
We study the compressibility of enumerations in the context of Kolmogorov complexity, focusing on strong and weak forms of compression and their gain: the amount of auxiliary information embedded in the compressed enumeration. The existence of strong compression and weak gainless compression is shown for any computably enumerable (c.e.) set. The density problem of c.e. sets with respect to their prefix complexity is reduced to the question of whether every c.e. set is well-compressible, which we study via enumeration games.
title Compression of enumerations and gain
topic Computation and Language
Information Theory
Logic
url https://arxiv.org/abs/2304.03030