2-Head 2D Returning Finite Automata

📅 2026-06-25
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🤖 AI Summary
This study investigates the computational power of two-head finite automata in two-dimensional picture language recognition and their relationship with context-free matrix grammars (CFMGs) and returning pushdown automata (RPDAs). It introduces two novel models of two-head returning finite automata operating on rectangular pictures: the 2-HRFA, which allows backward moves, and the B2-HRFA, which enforces synchronous head movement—a constraint newly introduced in this work. Through formal language-theoretic analysis and closure properties, the paper establishes that the class of languages recognized by 2-HRFA is a proper subset of those recognized by RPDAs and incomparable with CFMGs. Furthermore, it demonstrates that B2-HRFA strictly lies between RFA and 2-HRFA in recognition power, thereby establishing a strict hierarchy among these three models.
📝 Abstract
We introduce and study a family of two-head finite automata called two head returning finite automata (2-HRFA) operating on rectangular arrays of picture languages, in which both heads move in opposite directions. We show that the class of picture languages accepted by 2-HRFA is incomparable with the class of languages generated by context-free matrix grammars (CFMG), while it forms a proper subset of the class of languages accepted by returning pushdown automata (RPDA). In addition, we define a constrained variant, both head stepping two head returning finite automata (B2-HRFA), in which both heads are required to move in a synchronized, stepwise fashion. We prove that the class of languages accepted by returning finite automata (RFA) is a proper subset of the class of languages accepted by B2-HRFA, which in turn is a proper subset of the class of languages accepted by 2-HRFA. Closure properties for both the families of languages accepted by 2-HRFA and B2-HRFA are also investigated.
Problem

Research questions and friction points this paper is trying to address.

picture languages
two-head finite automata
returning automata
context-free matrix grammars
closure properties
Innovation

Methods, ideas, or system contributions that make the work stand out.

two-head finite automata
picture languages
returning automata
synchronized movement
closure properties
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