2,441 research outputs found
Vertex Arboricity of Toroidal Graphs with a Forbidden Cycle
The vertex arboricity of a graph is the minimum such that
can be partitioned into sets where each set induces a forest. For a
planar graph , it is known that . In two recent papers, it was
proved that planar graphs without -cycles for some
have vertex arboricity at most 2. For a toroidal graph , it is known that
. Let us consider the following question: do toroidal graphs
without -cycles have vertex arboricity at most 2? It was known that the
question is true for k=3, and recently, Zhang proved the question is true for
. Since a complete graph on 5 vertices is a toroidal graph without any
-cycles for and has vertex arboricity at least three, the only
unknown case was k=4. We solve this case in the affirmative; namely, we show
that toroidal graphs without 4-cycles have vertex arboricity at most 2.Comment: 8 pages, 2 figure
Box representations of embedded graphs
A -box is the cartesian product of intervals of and a
-box representation of a graph is a representation of as the
intersection graph of a set of -boxes in . It was proved by
Thomassen in 1986 that every planar graph has a 3-box representation. In this
paper we prove that every graph embedded in a fixed orientable surface, without
short non-contractible cycles, has a 5-box representation. This directly
implies that there is a function , such that in every graph of genus , a
set of at most vertices can be removed so that the resulting graph has a
5-box representation. We show that such a function can be made linear in
. Finally, we prove that for any proper minor-closed class ,
there is a constant such that every graph of
without cycles of length less than has a 3-box representation,
which is best possible.Comment: 16 pages, 6 figures - revised versio
Edge-choosability of Planar Graphs
According to the List Colouring Conjecture, if G is a multigraph then χ' (G)=χl' (G) . In this thesis, we discuss a relaxed version of this conjecture that every simple graph G is edge-(∆ + 1)-choosable as by Vizing’s Theorem ∆(G) ≤χ' (G)≤∆(G) + 1. We prove that if G is a planar graph without 7-cycles with ∆(G)≠5,6 , or without adjacent 4-cycles with ∆(G)≠5, or with no 3-cycles adjacent to 5-cycles, then G is edge-(∆ + 1)-choosable
Planar graphs as L-intersection or L-contact graphs
The L-intersection graphs are the graphs that have a representation as
intersection graphs of axis parallel shapes in the plane. A subfamily of these
graphs are {L, |, --}-contact graphs which are the contact graphs of axis
parallel L, |, and -- shapes in the plane. We prove here two results that were
conjectured by Chaplick and Ueckerdt in 2013. We show that planar graphs are
L-intersection graphs, and that triangle-free planar graphs are {L, |,
--}-contact graphs. These results are obtained by a new and simple
decomposition technique for 4-connected triangulations. Our results also
provide a much simpler proof of the known fact that planar graphs are segment
intersection graphs
Triangles and Girth in Disk Graphs and Transmission Graphs
Let S subset R^2 be a set of n sites, where each s in S has an associated radius r_s > 0. The disk graph D(S) is the undirected graph with vertex set S and an undirected edge between two sites s, t in S if and only if |st| <= r_s + r_t, i.e., if the disks with centers s and t and respective radii r_s and r_t intersect. Disk graphs are used to model sensor networks. Similarly, the transmission graph T(S) is the directed graph with vertex set S and a directed edge from a site s to a site t if and only if |st| <= r_s, i.e., if t lies in the disk with center s and radius r_s.
We provide algorithms for detecting (directed) triangles and, more generally, computing the length of a shortest cycle (the girth) in D(S) and in T(S). These problems are notoriously hard in general, but better solutions exist for special graph classes such as planar graphs. We obtain similarly efficient results for disk graphs and for transmission graphs. More precisely, we show that a shortest (Euclidean) triangle in D(S) and in T(S) can be found in O(n log n) expected time, and that the (weighted) girth of D(S) can be found in O(n log n) expected time. For this, we develop new tools for batched range searching that may be of independent interest
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