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Julien Duron

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TCS Journal 2024 Journal Article

Cutting Barnette graphs perfectly is hard

  • Édouard Bonnet
  • Dibyayan Chakraborty
  • Julien Duron

A perfect matching cut is a perfect matching that is also a cutset, or equivalently, a perfect matching containing an even number of edges on every cycle. The corresponding algorithmic problem, Perfect Matching Cut, is known to be NP-complete in subcubic bipartite graphs [Le & Telle, TCS '22], but its complexity was open in planar graphs and cubic graphs. We settle both questions simultaneously by showing that Perfect Matching Cut is NP-complete in 3-connected cubic bipartite planar graphs or Barnette graphs. Prior to our work, among problems whose input is solely an undirected graph, only Distance-2 4-Coloring was known to be NP-complete in Barnette graphs. Notably, Hamiltonian Cycle would only join this private club if Barnette's conjecture were refuted.

SODA Conference 2024 Conference Paper

Small But Unwieldy: A Lower Bound on Adjacency Labels for Small Classes

  • Édouard Bonnet
  • Julien Duron
  • John Sylvester 0001
  • Viktor Zamaraev
  • Maksim Zhukovskii

We show that for any natural number s, there is a constant γ and a subgraph-closed class having, for any natural n, at most γ n graphs on n vertices up to isomorphism, but no adjacency labeling scheme with labels of size at most s log n. In other words, for every s, there is a small -even tiny - monotone class without universal graphs of size n s. Prior to this result, it was not excluded that every small class has an almost linear universal graph, or equivalently a labeling scheme with labels of size (1 + o (1))log n. The existence of such a labeling scheme, a scaled-down version of the recently disproved Implicit Graph Conjecture, was repeatedly raised [Gavoille and Labourel, ESA ‘07; Dujmović et al. , JACM ‘21; Bonamy et al. , SIDMA ‘22; Bonnet et al. , Comb. Theory ‘22]. Furthermore, our small monotone classes have unbounded twin-width, thus simultaneously disprove the already-refuted Small conjecture; but this time with a self-contained proof, not relying on elaborate group-theoretic constructions. As our main ingredient, we show that with high probability an Erdős-Rényi random graph G ( n, p ) with p = O( 1/ n ) has, for every k ≤ n, at most 2 O ( k ) subgraphs on k vertices, up to isomorphism. As a barrier to our general method of producing even more complex tiny classes, we show that when p = ω(1/n), the latter no longer holds. More concretely, we provide an explicit lower bound on the number of unlabeled k -vertex induced subgraphs of G ( n, p ) when 1/ n ≤ p ≤ 1 — 1/ n. We thereby obtain a threshold for the property of having exponentially many unlabeled induced subgraphs: if min{ p, 1— p } < δ/n with δ < 1, then with high probability even the number of all unlabeled (not necessarily induced) subgraphs is for sufficiently large C, then with high probability the number of unlabeled induced subgraphs is 2 Θ( n ). This result supplements the study of counting unlabeled induced subgraphs that was initiated by Erdős and Rényi with a question on the number of unlabeled induced subgraphs of Ramsey graphs, eventually answered by Shelah.

MFCS Conference 2024 Conference Paper

Symmetric-Difference (Degeneracy) and Signed Tree Models

  • Édouard Bonnet
  • Julien Duron
  • John Sylvester 0001
  • Viktor Zamaraev

We introduce a dense counterpart of graph degeneracy, which extends the recently-proposed invariant symmetric difference. We say that a graph has sd-degeneracy (for symmetric-difference degeneracy) at most d if it admits an elimination order of its vertices where a vertex u can be removed whenever it has a d-twin, i. e. , another vertex v such that at most d vertices outside {u, v} are neighbors of exactly one of u, v. The family of graph classes of bounded sd-degeneracy is a superset of that of graph classes of bounded degeneracy or of bounded flip-width, and more generally, of bounded symmetric difference. Unlike most graph parameters, sd-degeneracy is not hereditary: it may be strictly smaller on a graph than on some of its induced subgraphs. In particular, every n-vertex graph is an induced subgraph of some O(n²)-vertex graph of sd-degeneracy 1. In spite of this and the breadth of classes of bounded sd-degeneracy, we devise Õ(√n)-bit adjacency labeling schemes for them, which are optimal up to the hidden polylogarithmic factor. This is attained on some even more general classes, consisting of graphs G whose vertices bijectively map to the leaves of a tree T, where transversal edges and anti-edges added to T define the edge set of G. We call such graph representations signed tree models as they extend the so-called tree models (or twin-decompositions) developed in the context of twin-width, by adding transversal anti-edges. While computing the degeneracy of a graph takes linear time, we show that determining its symmetric difference is para-co-NP-complete. This may seem surprising as symmetric difference can serve as a short-sighted first approximation of twin-width, whose computation is para-NP-complete. Indeed, we show that deciding if the symmetric difference of an input graph is at most 8 is co-NP-complete. We also show that deciding if the sd-degeneracy is at most 6 is NP-complete, contrasting with the symmetric difference.