Diagonalization Without Relativization A Closer Look at the Baker-Gill-Solovay Theorem
Baruch Garcia

TL;DR
This paper introduces a new approach called semi-relativization that distinguishes certain complexity class separations from relativization, providing insights into longstanding barriers like Baker-Gill-Solovay and natural proofs.
Contribution
It defines semi-relativization as a novel method to differentiate complexity classes without relativization, and applies it to show separations like R and RE, and P and NP, evade known barriers.
Findings
Semi-relativization separates R and RE classes.
Polynomial acceptance problem reduces to CIRCUIT-SAT and 3-CNF-SAT.
Semi-relativization evades relativization, algebrization, and natural proofs barriers.
Abstract
We already know that several problems like the inequivalence of P and EXP as well as the undecidability of the acceptance problem and halting problem relativize. However, relativization is a limited tool which cannot separate other complexity classes. What has not been proven explicitly is whether the Turing-recognizability of the acceptance problem relativizes. We will consider an oracle for which R and RE are equivalent; RA = REA, where A is an oracle for the equivalence problem in the class ALL, but not in RE nor co-RE. We will then differentiate between relativization and what we will call "semi-relativization", i.e., separating classes using only the acceptance problem oracle. We argue the separation of R and RE is a fact that only "semi-relativization" proves. We will then "scale down" to the polynomial analog of R and RE, to evade the Baker-Gill-Solovay barrier using…
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
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Computability, Logic, AI Algorithms
