21 research outputs found
Temporalizing digraphs via linear-size balanced bi-trees
In a directed graph on vertex set , a \emph{forward arc}
is an arc where . A pair is \emph{forward connected} if
there is a directed path from to consisting of forward arcs. In the
{\tt Forward Connected Pairs Problem} ({\tt FCPP}), the input is a strongly
connected digraph , and the output is the maximum number of forward
connected pairs in some vertex enumeration of . We show that {\tt FCPP} is
in APX, as one can efficiently enumerate the vertices of in order to
achieve a quadratic number of forward connected pairs. For this, we construct a
linear size balanced bi-tree (an out-tree and an in-tree with same size
which roots are identified). The existence of such a was left as an open
problem motivated by the study of temporal paths in temporal networks. More
precisely, can be constructed in quadratic time (in the number of vertices)
and has size at least . The algorithm involves a particular depth-first
search tree (Left-DFS) of independent interest, and shows that every strongly
connected directed graph has a balanced separator which is a circuit.
Remarkably, in the request version {\tt RFCPP} of {\tt FCPP}, where the input
is a strong digraph and a set of requests consisting of pairs
, there is no constant such that one can always find an
enumeration realizing forward connected pairs (in either
direction).Comment: 11 pages, 2 figur
Kernels for Feedback Arc Set In Tournaments
A tournament T=(V,A) is a directed graph in which there is exactly one arc
between every pair of distinct vertices. Given a digraph on n vertices and an
integer parameter k, the Feedback Arc Set problem asks whether the given
digraph has a set of k arcs whose removal results in an acyclic digraph. The
Feedback Arc Set problem restricted to tournaments is known as the k-Feedback
Arc Set in Tournaments (k-FAST) problem. In this paper we obtain a linear
vertex kernel for k-FAST. That is, we give a polynomial time algorithm which
given an input instance T to k-FAST obtains an equivalent instance T' on O(k)
vertices. In fact, given any fixed e>0, the kernelized instance has at most
(2+e)k vertices. Our result improves the previous known bound of O(k^2) on the
kernel size for k-FAST. Our kernelization algorithm solves the problem on a
subclass of tournaments in polynomial time and uses a known polynomial time
approximation scheme for k-FAST
The Categorical Product of Two 5-Chromatic Digraphs can be 3-Chromatic
International audienceWe provide an example of a 5-chromatic oriented graph such that the categorical product of and is 3-chromatic, where is the transitive tournament on 5 vertices
Spanning a strong digraph by α circuits: A Proof of Gallai's Conjecture
In 1963, Tibor Gallai [9] asked whether every strongly connected directed graph D is spanned by α directed circuits, where α is the stability of D. We give a proof of this conjecture
Spanning a strong digraph by circuits: A proof of Gallai's conjecture
International audienceIn 1963, Tibor Gallai~\cite{TG} asked whether every strongly connected directed graph is spanned by directed circuits, where is the stability of . We give a proof of this conjecture
Every strong digraph has a spanning strong subgraph with at most n + 2α - 2 arcs
Answering a question of Adrian Bondy [4], we prove that every strong digraph has a spanning strong subgraph with at most n + 2α − 2 arcs, where α is the size of a maximum stable set of D. Such a spanning subgraph can be found in polynomial time. An infinite family of oriented graphs for which this bound is sharp was given by Odile Favaron [3]. A direct corollary of our result is that there exists 2α − 1 directed cycles which span D. Tibor Gallai [6] conjectured that α directed cycles would be enough
Partitioning a Graph into a Cycle and an Anticycle: A Proof of Lehel's Conjecture
International audienceWe prove that every graph has a vertex partition into a cycle and an anticyle (a cycle in the complement of ). Emptyset, singletons and edges are considered as cycles. This problem was posed by Lehel and shown to be true for very large graphs by \L uczak, Rödl and Szemerédi~\cite{LRS}, and more recently for large graphs by Allen~\cite{PA}