Variations on Muchnik's Conditional Complexity Theorem
Daniil Musatov, Andrei Romashchenko, Alexander Shen

TL;DR
This paper introduces two new proofs of Muchnik's Conditional Complexity Theorem, one using bipartite graph matching and the other based on extractors, with extensions to space-bounded complexity.
Contribution
It provides novel proof techniques for Muchnik's theorem, including a generalization to space-bounded Kolmogorov complexity.
Findings
Two new proofs of Muchnik's theorem are presented.
The extractor-based proof extends to space-bounded complexity.
The bipartite graph approach offers an alternative proof method.
Abstract
Muchnik's theorem about simple conditional descriptions states that for all strings and there exists a short program transforming to that has the least possible length and is simple conditional on . In this paper we present two new proofs of this theorem. The first one is based on the on-line matching algorithm for bipartite graphs. The second one, based on extractors, can be generalized to prove a version of Muchnik's theorem for space-bounded Kolmogorov complexity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms · Cellular Automata and Applications · Evolutionary Algorithms and Applications
