Alfredo Hubard
Institut Gaspard Monge
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Featured researches published by Alfredo Hubard.
Order | 2011
Alfredo Hubard; Luis Montejano; Emiliano Mora; Andrew Suk
We prove a Hadwiger transversal-type result, characterizing convex position on a family of non-crossing convex bodies in the plane. This theorem suggests a definition for the order type of a family of convex bodies, generalizing the usual definition of order type for point sets. This order type turns out to be an oriented matroid. We also give new upper bounds on the Erdős–Szekeres theorem in the context of convex bodies.
symposium on computational geometry | 2011
Boris Bukh; Alfredo Hubard
We define the crossing number for an embedding of a graph G into R3, and prove a lower bound on it which almost implies the classical crossing lemma. We also give the sharp bounds on the space crossing numbers of pseudo-random graphs
symposium on computational geometry | 2015
Xavier Goaoc; Alfredo Hubard; Rémi de Joannis de Verclos; Jean-Sébastien Sereni; Jan Volec
We apply ideas from the theory of limits of dense combinatorial structures to study order types, which are combinatorial encodings of finite point sets. Using flag algebras we obtain new numerical results on the Erdős problem of finding the minimal density of 5-or 6-tuples in convex position in an arbitrary point set, and also an inequality expressing the difficulty of sampling order types uniformly. Next we establish results on the analytic representation of limits of order types by planar measures. Our main result is a rigidity theorem: we show that if sampling two measures induce the same probability distribution on order types, then these measures are projectively equivalent provided the support of at least one of them has non-empty interior. We also show that some condition on the Hausdorff dimension of the support is necessary to obtain projective rigidity and we construct limits of order types that cannot be represented by a planar measure. Returning to combinatorial geometry we relate the regularity of this analytic representation to the aforementioned problem of Erdős on the density of k-tuples in convex position, for large k.
Discrete and Computational Geometry | 2015
Éric Colin de Verdière; Alfredo Hubard; Arnaud de Mesmay
How much cutting is needed to simplify the topology of a surface? We provide bounds for several instances of this question, for the minimum length of topologically non-trivial closed curves, pants decompositions, and cut graphs with a given combinatorial map in triangulated combinatorial surfaces (or their dual cross-metric counterpart). Our work builds upon Riemannian systolic inequalities, which bound the minimum length of non-trivial closed curves in terms of the genus and the area of the surface. We first describe a systematic way to translate Riemannian systolic inequalities to a discrete setting, and vice-versa. This implies a conjecture by Przytycka and Przytycki (Graph structure theory. Contemporary Mathematics, vol. 147, 1993), a number of new systolic inequalities in the discrete setting, and the fact that a theorem of Hutchinson on the edge-width of triangulated surfaces and Gromov’s systolic inequality for surfaces are essentially equivalent. We also discuss how these proofs generalize to higher dimensions. Then we focus on topological decompositions of surfaces. Relying on ideas of Buser, we prove the existence of pants decompositions of length
symposium on computational geometry | 2016
Alfredo Hubard; Vojtech Kaluza; Arnaud de Mesmay; Martin Tancer
symposium on computational geometry | 2015
Michael Gene Dobbins; Andreas F. Holmsen; Alfredo Hubard
O(g^{3/2}n^{1/2})
Transactions of the American Mathematical Society | 2016
Michael Gene Dobbins; Andreas F. Holmsen; Alfredo Hubard
symposium on computational geometry | 2018
Boris Bukh; Xavier Goaoc; Alfredo Hubard; Matthew Trager
O(g3/2n1/2) for any triangulated combinatorial surface of genus
Archive | 2017
Boris Bukh; Alfredo Hubard
symposium on computational geometry | 2015
Xavier Goaoc; Alfredo Hubard; Rémi de Joannis de Verclos; Jean-Sébastien Sereni; Jan Volec
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