J 2024

Twin-Width and Transductions of Proper k-Mixed-Thin Graphs

BALABÁN, Jakub, Petr HLINĚNÝ and Jan JEDELSKÝ

Basic information

Original name

Twin-Width and Transductions of Proper k-Mixed-Thin Graphs

Authors

BALABÁN, Jakub, Petr HLINĚNÝ and Jan JEDELSKÝ

Edition

DISCRETE MATHEMATICS, NETHERLANDS, ELSEVIER, 2024, 0012-365X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 0.800 in 2022

Organization unit

Faculty of Informatics

Keywords in English

twin-width;proper interval graph;proper mixed-thin graph;transduction equivalence

Tags

International impact, Reviewed
Změněno: 18/10/2024 12:00, Mgr. Jakub Balabán

Abstract

V originále

The new graph parameter twin-width, introduced by Bonnet, Kim, Thomassé and Watrigant in 2020, allows for an FPT algorithm for testing all FO properties of graphs. This makes classes of efficiently bounded twin-width attractive from the algorithmic point of view. In particular, classes of efficiently bounded twin-width include proper interval graphs, and (as digraphs) posets of width k. Inspired by an existing generalization of interval graphs into so-called k-thin graphs, we define a new class of proper k-mixed-thin graphs which largely generalizes proper interval graphs. We prove that proper k-mixed-thin graphs have twin-width linear in k, and that a slight subclass of k-mixed-thin graphs is transduction-equivalent to posets of width such that there is a quadratic-polynomial relation between k and . In addition to that, we also give an abstract overview of the so-called red potential method which we use to prove our twin-width bounds.

Links

MUNI/A/1592/2023, interní kód MU
Name: Modelování, analýza a verifikace (2024)
Investor: Masaryk University, Modeling, analysis, and verification (2024)
MUNI/A/1608/2023, interní kód MU
Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 24
Investor: Masaryk University