| Issue |
RAIRO-Theor. Inf. Appl.
Volume 60, 2026
|
|
|---|---|---|
| Article Number | 13 | |
| Number of page(s) | 35 | |
| DOI | https://doi.org/10.1051/ita/2026009 | |
| Published online | 03 April 2026 | |
On describing trees and quasi-trees from their leaves
Labri, Bordeaux University, 351 Cours de la Libération, 33400 Talence, France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
5
April
2025
Accepted:
16
February
2026
Abstract
Generalized trees, we call them O-trees, are defined as hierarchical partial orders, i.e., such that the elements larger than any one are linearly ordered. This partial order generalizes the ancestor relation of a rooted tree. As for rooted trees, the root of an O-tree is its unique maximal element if there is such; however, an O-tree may have no root. Quasi-trees are, roughly speaking, undirected O-trees. For O-trees and quasi-trees, we define relational structures on their leaves that characterize them up to isomorphism. These structures have axiomatizations by universal first-order sentences. Our main purpose is to reconstruct O-trees and quasi-trees from their leaves and relevant relations on leaves, by logically defined transformations, called transductions. Monadic second-order (MSO) transductions are defined by monadic second-order (MSO) formulas. We use actually CMSO transductions where the letter “C”, meaning counting, refers to the use of set predicates that count cardinalities of finite sets modulo fixed integers. O-trees and quasi-trees make it possible to define respectively, the modular decomposition and the rank-width of a countable graph. Their constructions from their leaves by transductions of different types apply to rank-decompositions, to modular decomposition and to other canonical graph decompositions.
Mathematics Subject Classification: 05C05 / 03B70
Key words: Generalized tree / quasi-tree / monadic second-order logic / monadic second-order transduction
© The authors. Published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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