16,613 research outputs found
A sufficient condition for the existence of an anti-directed 2-factor in a directed graph
Let D be a directed graph with vertex set V and order n. An anti-directed
hamiltonian cycle H in D is a hamiltonian cycle in the graph underlying D such
that no pair of consecutive arcs in H form a directed path in D. An
anti-directed 2-factor in D is a vertex-disjoint collection of anti-directed
cycles in D that span V. It was proved in [3] that if the indegree and the
outdegree of each vertex of D is greater than (9/16)n then D contains an
anti-directed hamilton cycle. In this paper we prove that given a directed
graph D, the problem of determining whether D has an anti-directed 2-factor is
NP-complete, and we use a proof technique similar to the one used in [3] to
prove that if the indegree and the outdegree of each vertex of D is greater
than (24/46)n then D contains an anti-directed 2-factor
Vertex-Coloring Edge-Weighting of Bipartite Graphs with Two Edge Weights
Let be a graph and be a subset of . A vertex-coloring
-edge-weighting of is an assignment of weight by the
elements of to each edge of so that adjacent vertices have
different sums of incident edges weights.
It was proved that every 3-connected bipartite graph admits a vertex-coloring
-edge-weighting (Lu, Yu and Zhang, (2011) \cite{LYZ}). In this paper,
we show that the following result: if a 3-edge-connected bipartite graph
with minimum degree contains a vertex such that
and is connected, then admits a vertex-coloring
-edge-weighting for . In
particular, we show that every 2-connected and 3-edge-connected bipartite graph
admits a vertex-coloring -edge-weighting for . The bound is sharp, since there exists a family of
infinite bipartite graphs which are 2-connected and do not admit
vertex-coloring -edge-weightings or vertex-coloring
-edge-weightings.Comment: In this paper, we show that every 2-connected and 3-edge-connected
bipartite graph admits a vertex-coloring S-edge-weighting for S\in
{{0,1},{1,2}
Hamilton cycles, minimum degree and bipartite holes
We present a tight extremal threshold for the existence of Hamilton cycles in
graphs with large minimum degree and without a large ``bipartite hole`` (two
disjoint sets of vertices with no edges between them). This result extends
Dirac's classical theorem, and is related to a theorem of Chv\'atal and
Erd\H{o}s.
In detail, an -bipartite-hole in a graph consists of two disjoint
sets of vertices and with and such that there are no
edges between and ; and is the maximum integer
such that contains an -bipartite-hole for every pair of
non-negative integers and with . Our central theorem is that
a graph with at least vertices is Hamiltonian if its minimum degree is
at least .
From the proof we obtain a polynomial time algorithm that either finds a
Hamilton cycle or a large bipartite hole. The theorem also yields a condition
for the existence of edge-disjoint Hamilton cycles. We see that for dense
random graphs , the probability of failing to contain many
edge-disjoint Hamilton cycles is . Finally, we discuss
the complexity of calculating and approximating
On the Minimum Degree up to Local Complementation: Bounds and Complexity
The local minimum degree of a graph is the minimum degree reached by means of
a series of local complementations. In this paper, we investigate on this
quantity which plays an important role in quantum computation and quantum error
correcting codes. First, we show that the local minimum degree of the Paley
graph of order p is greater than sqrt{p} - 3/2, which is, up to our knowledge,
the highest known bound on an explicit family of graphs. Probabilistic methods
allows us to derive the existence of an infinite number of graphs whose local
minimum degree is linear in their order with constant 0.189 for graphs in
general and 0.110 for bipartite graphs. As regards the computational complexity
of the decision problem associated with the local minimum degree, we show that
it is NP-complete and that there exists no k-approximation algorithm for this
problem for any constant k unless P = NP.Comment: 11 page
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