Conditional Kolmogorov complexity and universal probability

Open Access
Authors
Publication date 27-08-2013
Journal Theoretical Computer Science
Volume | Issue number 501
Pages (from-to) 93-100
Number of pages 8
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

The Coding Theorem of L.A. Levin connects unconditional prefix Kolmogorov complexity with the universal semiprobability mass function. There are conditional versions referred to in several publications but as yet there exist no written proofs. Under the classic definition of conditional probability, there is no conditional version of the Coding Theorem. We give the appropriate definitions and provide complete proofs of the conditional version of the Coding Theorem.

Document type Article
Language English
Related publication Conditional Kolmogorov Complexity and Universal Probability
Published at https://doi.org/10.1016/j.tcs.2013.07.009
Published at https://arxiv.org/abs/1206.0983
Other links https://www.scopus.com/pages/publications/84882280641
Downloads
1206.0983 (Submitted manuscript)
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