Hardness of Ruling Out Short Proofs of Kolmogorov Randomness
Hunter Monroe

TL;DR
This paper introduces the Feasible Chaitin Incompleteness (FCI) assumption, linking the hardness of ruling out short proofs of Kolmogorov randomness to broader complexity and unprovability issues, with wide-ranging implications.
Contribution
It formalizes a meta-complexity assumption connecting unprovability of randomness to proof complexity, offering a unified framework for several open problems in complexity theory and logic.
Findings
Random strings are hard to prove as random for any proof system.
Average-case hardness of proving randomness implies hardness of tautologies.
Certain natural languages are NP-intermediate with P/poly circuits despite not being in P.
Abstract
A meta-complexity assumption, Feasible Chaitin Incompleteness (FCI), asserts the hardness of ruling out length proofs that string is Kolmogorov random (e.g. ), by analogy to Chaitin's result that proving is typically impossible. By assertion, efficiently ruling out short proofs requires, impossibly, ruling out any proof. FCI has strong implications: (i) randomly chosen typically yields tautologies hard with high probability for any given proof system, densely witnessing its nonoptimality; (ii) average-case impossibility of proving implies average-case hardness of proving tautologies and Feige's hypothesis; and (iii) a natural language is -intermediate -- the sparse complement of " lacks a length proof" (where 's complement is sparse) -- and has circuits despite not being in . FCI and…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Logic, programming, and type systems · Logic, Reasoning, and Knowledge
