A Prime Decomposition of Probabilistic Automata
Gunnar Carlsson, Jun Yu

TL;DR
This paper introduces a prime decomposition framework for probabilistic automata based on Krohn-Rhodes theorem, linking local structure to global properties through holonomy decomposition and finite group representations.
Contribution
It extends the Krohn-Rhodes theorem to probabilistic automata, providing a new structural analysis method and connecting local and global automaton properties.
Findings
Prime decomposition derived from Krohn-Rhodes theorem
Representation theory linked to finite groups in holonomy decomposition
Framework for studying global structure of probabilistic automata
Abstract
A definition of a probabilistic automaton is formulated in which its prime decomposition follows as a direct consequence of Krohn-Rhodes theorem. We first characterize the local structure of probabilistic automata. The prime decomposition is presented as a framework to study the global structure of probabilistic automata. We prove that the representation theory of a probabilistic automaton is determined by that of the finite groups in its holonomy decomposition.
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 · Logic, programming, and type systems · Machine Learning and Algorithms
