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Automatic Abelian complexities of Parikh-collinear fixed points

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posted on 2025-03-26, 15:49 authored by Michel Rigo, Manon Stipulanti, Markus WhitelandMarkus Whiteland

Parikh-collinear morphisms have the property that all the Parikh vectors of the images of letters are collinear, i.e., the associated adjacency matrix has rank 1. In the conference DLT–WORDS 2023 we showed that fixed points of Parikh-collinear morphisms are automatic. We also showed that the abelian complexity function of a binary fixed point of such a morphism is automatic under some assumptions. In this note, we fully generalize the latter result. Namely, we show that the abelian complexity function of a fixed point of an arbitrary, possibly erasing, Parikh-collinear morphism is automatic. Furthermore, a deterministic finite automaton with output generating this abelian complexity function is provided by an effective procedure. To that end, we discuss the constant of recognizability of a morphism and the related cutting set.

Funding

FNRS Research grant T.0196.23 (PDR)

Research grant 1.C.104.24F

FNRS Research grant 1.B.466.21F

History

School

  • Science

Published in

Theory of Computing Systems

Volume

68

Issue

6

Pages

1622 - 1639

Publisher

Springer

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Acceptance date

2024-09-16

Publication date

2024-10-10

Copyright date

2024

ISSN

1432-4350

eISSN

1433-0490

Language

  • en

Depositor

Dr Markus Whiteland. Deposit date: 24 October 2024