3,512 research outputs found
Random subgraphs make identification affordable
An identifying code of a graph is a dominating set which uniquely determines
all the vertices by their neighborhood within the code. Whereas graphs with
large minimum degree have small domination number, this is not the case for the
identifying code number (the size of a smallest identifying code), which indeed
is not even a monotone parameter with respect to graph inclusion.
We show that every graph with vertices, maximum degree
and minimum degree , for some
constant , contains a large spanning subgraph which admits an identifying
code with size . In particular, if
, then has a dense spanning subgraph with identifying
code , namely, of asymptotically optimal size. The
subgraph we build is created using a probabilistic approach, and we use an
interplay of various random methods to analyze it. Moreover we show that the
result is essentially best possible, both in terms of the number of deleted
edges and the size of the identifying code
On bounding the difference between the maximum degree and the chromatic number by a constant
We provide a finite forbidden induced subgraph characterization for the graph
class , for all , which is defined as
follows. A graph is in if for any induced subgraph, holds, where is the maximum degree and is the
chromatic number of the subgraph.
We compare these results with those given in [O. Schaudt, V. Weil, On
bounding the difference between the maximum degree and the clique number,
Graphs and Combinatorics 31(5), 1689-1702 (2015). DOI:
10.1007/s00373-014-1468-3], where we studied the graph class , for
, whose graphs are such that for any induced subgraph,
holds, where denotes the clique number of
a graph. In particular, we give a characterization in terms of
and of those graphs where the neighborhood of every vertex is
perfect.Comment: 10 pages, 4 figure
Total Domishold Graphs: a Generalization of Threshold Graphs, with Connections to Threshold Hypergraphs
A total dominating set in a graph is a set of vertices such that every vertex
of the graph has a neighbor in the set. We introduce and study graphs that
admit non-negative real weights associated to their vertices such that a set of
vertices is a total dominating set if and only if the sum of the corresponding
weights exceeds a certain threshold. We show that these graphs, which we call
total domishold graphs, form a non-hereditary class of graphs properly
containing the classes of threshold graphs and the complements of domishold
graphs, and are closely related to threshold Boolean functions and threshold
hypergraphs. We present a polynomial time recognition algorithm of total
domishold graphs, and characterize graphs in which the above property holds in
a hereditary sense. Our characterization is obtained by studying a new family
of hypergraphs, defined similarly as the Sperner hypergraphs, which may be of
independent interest.Comment: 19 pages, 1 figur
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