Large Alphabets and Incompressibility

dc.creatorGagie, Travis
dc.date2005-06-14
dc.date2006-03-09
dc.date.accessioned2026-07-07T08:17:48Z
dc.date.available2026-07-07T08:17:48Z
dc.descriptionWe briefly survey some concepts related to empirical entropy -- normal numbers, de Bruijn sequences and Markov processes -- and investigate how well it approximates Kolmogorov complexity. Our results suggest $\ell$th-order empirical entropy stops being a reasonable complexity metric for almost all strings of length $m$ over alphabets of size $n$ about when $n^\ell$ surpasses $m$.
dc.identifierhttps://arxiv.org/abs/cs/0506056
dc.identifierhttp://arxiv.org/abs/cs/0506056
dc.identifierdoi:10.1016/j.ipl.2006.04.008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/134219
dc.subjectInformation Theory
dc.subjectE.4
dc.titleLarge Alphabets and Incompressibility
dc.typetext

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