21,285 research outputs found
3-Colourability of Dually Chordal Graphs in Linear Time
A graph G is dually chordal if there is a spanning tree T of G such that any
maximal clique of G induces a subtree in T. This paper investigates the
Colourability problem on dually chordal graphs. It will show that it is
NP-complete in case of four colours and solvable in linear time with a simple
algorithm in case of three colours. In addition, it will be shown that a dually
chordal graph is 3-colourable if and only if it is perfect and has no clique of
size four
On Hamilton Decompositions of Line Graphs of Non-Hamiltonian Graphs and Graphs without Separating Transitions
In contrast with Kotzig's result that the line graph of a -regular graph
is Hamilton decomposable if and only if is Hamiltonian, we show that
for each integer there exists a simple non-Hamiltonian -regular
graph whose line graph has a Hamilton decomposition. We also answer a question
of Jackson by showing that for each integer there exists a simple
connected -regular graph with no separating transitions whose line graph has
no Hamilton decomposition
The first order convergence law fails for random perfect graphs
We consider first order expressible properties of random perfect graphs. That
is, we pick a graph uniformly at random from all (labelled) perfect
graphs on vertices and consider the probability that it satisfies some
graph property that can be expressed in the first order language of graphs. We
show that there exists such a first order expressible property for which the
probability that satisfies it does not converge as .Comment: 11 pages. Minor corrections since last versio
Revolutionaries and spies on random graphs
Pursuit-evasion games, such as the game of Revolutionaries and Spies, are a
simplified model for network security. In the game we consider in this paper, a
team of revolutionaries tries to hold an unguarded meeting consisting of
revolutionaries. A team of spies wants to prevent this forever. For
given and , the minimum number of spies required to win on a graph
is the spy number . We present asymptotic results for the game
played on random graphs for a large range of , and
. The behaviour of the spy number is analyzed completely for dense
graphs (that is, graphs with average degree at least n^{1/2+\eps} for some
\eps > 0). For sparser graphs, some bounds are provided
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