On the Sizes of DPDAs, PDAs, LBAs
Richard Beigel, William Gasarch

TL;DR
This paper explores the size differences among various automata recognizing certain languages, revealing that these differences are characterized by functions with complexities on the second level of the arithmetic hierarchy, and provides both infinitely-often and almost-all results.
Contribution
It introduces a detailed analysis of size disparities between DPDAs, PDAs, and LBAs, and characterizes these differences using functions with specific Turing degrees, advancing understanding of automata size complexity.
Findings
Size differences are captured by functions on the second level of the arithmetic hierarchy.
Existence of languages with small PDAs but large DPDAs.
Infinitely-often and almost-all size disparity results.
Abstract
There are languages A such that there is a Pushdown Automata (PDA) that recognizes A which is much smaller than any Deterministic Pushdown Automata (DPDA) that recognizes A. There are languages A such that there is a Linear Bounded Automata (Linear Space Turing Machine, henceforth LBA) that recognizes A which is much smaller than ny PDA that recognizes A. There are languages A such that both A and compliment(A) are recognizable by a PDA, but the PDA for A is much smaller than the PDA for compliment(A). There are languages A1, A2 such that A1,A2,A1 INTERSECT A_2 are recognizable by a PDA, but the PDA for A1 and A2 are much smaller than the PDA for A1 INTERSECT A2. We investigate these phenomenon and show that, in all these cases, the size difference is captured by a function whose Turing degree is on the second level of the arithmetic hierarchy. Our theorems lead to infinitely-often…
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
Topicssemigroups and automata theory · DNA and Biological Computing · Computability, Logic, AI Algorithms
