Twin-width and permutations
Édouard Bonnet, Jaroslav Nešetřil, Patrice Ossona de Mendez, Sebastian Siebertz, Stéphan Thomassé
TL;DR
This paper establishes a fundamental link between bounded twin-width and FO-transductions of proper permutation classes for binary relational structures. By introducing twin-models and their ranked variants, it provides a structural bridge between contraction sequences and tree-like representations, enabling a permutation-based encoding of bounded twin-width. The main result shows that every class with bounded twin-width is a FO-transduction of a proper permutation class, and conversely that FO-transductions of such permutation classes have bounded twin-width; as a corollary, the class has at most c^n non-isomorphic n-vertex structures. The work connects model-theoretic transductions, Gaifman graph properties (including star chromatic number and bounded expansion), and permutation classes, yielding a powerful framework for analyzing sparsity and algorithmic tractability in binary relational structures.
Abstract
Inspired by a width invariant on permutations defined by Guillemot and Marx, Bonnet, Kim, Thomassé, and Watrigant introduced the twin-width of graphs, which is a parameter describing its structural complexity. This invariant has been further extended to binary structures, in several (basically equivalent) ways. We prove that a class of binary relational structures (that is: edge-colored partially directed graphs) has bounded twin-width if and only if it is a first-order transduction of a~proper permutation class. As a by-product, we show that every class with bounded twin-width contains at most $2^{O(n)}$ pairwise non-isomorphic $n$-vertex graphs.
