Martin Pergel

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14ranked-venue papers
3as first author
3since 2021 · last 2026
0000-0002-7325-0989ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 14 · 3 first-author · 3 since 2021
YearPublicationVenuePosition
2026 High Beer Index Implies Big Hollow Triangles
abstract
The visibility graph of a set S ⊆ ℝ² is the graph whose vertices are the points of S, with two points x,y connected by an edge if and only if they see each other in S, that is, if the segment xy is contained in S. The edge density of this graph is known as the Beer index of S. Previously, it has been shown that a simply connected set S ⊆ ℝ² of unit Lebesgue measure with Beer index β > 0 contains a convex subset of measure Ω(β); in particular, for visibility graphs of simply connected sets, a positive edge density β > 0 implies the existence of a clique containing an Ω(β)-fraction of all vertices. The simple-connectivity assumption cannot be omitted, as there are non-simply-connected sets with Beer index 1 and no convex subset of positive measure. Nevertheless, in this paper, we extend the above result to non-simply-connected sets, by showing that a visibility graph with large edge density contains a triangle with large convex hull. More precisely, we show that a set S ⊆ ℝ² of unit Lebesgue measure with Beer index β > 0 contains three pairwise visible points whose convex hull has measure Ω(β⁹). If in addition S is an open domain with K holes, then S contains three pairwise visible points with convex hull of measure Ω(β/K) as well as a convex subset of measure Ω(β/K²).
Arun Kumar Das 0001, Vít Jelínek, Jan Kyncl, Martin Pergel, Felix Schröder, Peter Stumpf, Pavel Valtr 0001
WG4
2025 The Bend Number of Cocomparability Graphs
abstract
We introduce a new complexity measure for cocomparability graphs of posets or in other words, intersection graphs of piecewise linear functions, the bend number. We prove that cocomparability graphs of bounded bend number are not too plentiful and give two hierarchies of classes of cocomparability graphs, depending on whether the piecewise linear functions are restricted to slopes of ±1 (diagonal case) or not (general case). These hierarchies give a gradation between permutation graphs and cocomparability graphs.
Todor Antic, Vít Jelínek, Martin Pergel, Felix Schröder, Peter Stumpf, Pavel Valtr 0002
GD3
2021 On flips in planar matchings
Marcel Milich, Torsten Mütze, Martin Pergel
Discret. Appl. Math.3
2020 On Flips in Planar Matchings
Marcel Milich, Torsten Mütze, Martin Pergel
WG3
2018 Homothetic polygons and beyond: Maximal cliques in intersection graphs
Valentin E. Brimkov, Konstanty Junosza-Szaniawski, Sean Kafer, Jan Kratochvíl, Martin Pergel, Pawel Rzazewski, Matthew Szczepankiewicz, Joshua Terhaar
Discret. Appl. Math.5
2017 On edge intersection graphs of paths with 2 bends
Martin Pergel, Pawel Rzazewski
Discret. Appl. Math.1
2017 The Complexity of the Partial Order Dimension Problem: Closing the Gap
abstract
The dimension of a partial order $P$ is the minimum number of linear orders whose intersection is $P$. There are efficient algorithms to test if a partial order has dimension at most 2. In 1982 Yannakakis [SIAM J. Algebraic Discrete Methods, 3 (1982), pp. 351--358] showed that for $k\geq 3$ to test if a partial order has dimension $\leq k$ is NP-complete. The height of a partial order $P$ is the maximum size of a chain in $P$. Yannakakis also showed that for $k\geq 4$ to test if a partial order of height $2$ has dimension $\leq k$ is NP-complete. The complexity of deciding whether an order of height 2 has dimension 3 was left open. This question became one of the best known open problems in dimension theory for partial orders. We show that the problem is NP-complete. Technically, we show that the decision problem (3DH2) for dimension is equivalent to deciding for the existence of bipartite triangle containment representations (BTCon). This problem then allows a reduction from a class of planar satisfiability problems (P-3-CON-3-SAT(4)) which is known to be NP-hard.
Stefan Felsner, Irina Mustata, Martin Pergel
SIAM J. Discret. Math.3
2016 On Edge Intersection Graphs of Paths with 2 Bends
Martin Pergel, Pawel Rzazewski
WG1
2012 Beyond Homothetic Polygons: Recognition and Maximum Clique
Konstanty Junosza-Szaniawski, Jan Kratochvíl, Martin Pergel, Pawel Rzazewski
ISAAC3
2008 The Complexity of Sorting with Networks of Stacks and Queues
Stefan Felsner, Martin Pergel
ESA2
2007 Geometric Intersection Graphs: Do Short Cycles Help?
Jan Kratochvíl, Martin Pergel
COCOON2
2007 Clustered Planarity: Small Clusters in Eulerian Graphs
Eva Jelínková, Jan Kára, Jan Kratochvíl, Martin Pergel, Ondrej Suchý 0001, Tomás Vyskocil
GD4
2007 Recognition of Polygon-Circle Graphs and Graphs of Interval Filaments Is NP-Complete
Martin Pergel
WG1
2003 Two Results on Intersection Graphs of Polygons
Jan Kratochvíl, Martin Pergel
GD2