Algebraic and Combinatorial Tools for State Complexity : Application to the Star-Xor Problem
Pascal Caron (LITIS, Universit\'e de Rouen), Edwin Hamel-de le Court, (LITIS, Universit\'e de Rouen), Jean-Gabriel Luque (LITIS, Universit\'e de, Rouen)

TL;DR
This paper introduces algebraic and combinatorial methods, including monsters and modifiers, to analyze the state complexity of the star of symmetrical differences, providing a new approach and a minimal witness example.
Contribution
It presents a novel theoretical framework using monsters and modifiers to determine state complexity, simplifying the process and producing a small alphabet witness.
Findings
Established a method to compute state complexity using monsters and modifiers
Provided a minimal alphabet witness for the star-Xor problem
Demonstrated the effectiveness of algebraic tools in automata theory
Abstract
We investigate the state complexity of the star of symmetrical differences using modifiers and monsters. A monster is an automaton in which every function from states to states is represented by at least one letter. A modifier is a set of functions allowing one to transform a set of automata into one automaton. These recent theoretical concepts allow one to find easily the desired state complexity. We then exhibit a witness with a constant size alphabet.
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.
