66 research outputs found
Exploiting -Closure in Kernelization Algorithms for Graph Problems
A graph is c-closed if every pair of vertices with at least c common
neighbors is adjacent. The c-closure of a graph G is the smallest number such
that G is c-closed. Fox et al. [ICALP '18] defined c-closure and investigated
it in the context of clique enumeration. We show that c-closure can be applied
in kernelization algorithms for several classic graph problems. We show that
Dominating Set admits a kernel of size k^O(c), that Induced Matching admits a
kernel with O(c^7*k^8) vertices, and that Irredundant Set admits a kernel with
O(c^(5/2)*k^3) vertices. Our kernelization exploits the fact that c-closed
graphs have polynomially-bounded Ramsey numbers, as we show
Irredundant sets, Ramsey numbers, multicolor Ramsey numbers
A set of vertices in a simple graph is irredundant if
each vertex is either isolated in the induced subgraph or else
has a private neighbor that is adjacent to and to no
other vertex of . The \emph{mixed Ramsey number} is the smallest
for which every red-blue coloring of the edges of has an -element
irredundant set in a blue subgraph or a -element independent set in a red
subgraph. The \emph{multicolor irredundant Ramsey number}
is the minimum such that every -coloring of the
edges of the complete graph on vertices has a monochromatic
irredundant set of size for certain .
Firstly, we improve the upper bound for the mixed Ramsey number , and
using this result, we verify a special case of a conjecture proposed by Chen,
Hattingh, and Rousseau for . Secondly, we obtain a new upper bound for
, and using Krivelevich's method, we establish an asymptotic lower
bound for CO-irredundant Ramsey number of , which extends Krivelevich's
result on . Thirdly, we prove a lower bound for the multicolor
irredundant Ramsey number by a random and probability method which has been
used to improve the lower bound for multicolor Ramsey numbers. Finally, we give
a lower bound for the irredundant multiplicity.Comment: 23 pages, 1 figur
Lossy gossip and composition of metrics
We study the monoid generated by n-by-n distance matrices under tropical (or
min-plus) multiplication. Using the tropical geometry of the orthogonal group,
we prove that this monoid is a finite polyhedral fan of dimension n(n-1)/2, and
we compute the structure of this fan for n up to 5. The monoid captures gossip
among n gossipers over lossy phone lines, and contains the gossip monoid over
ordinary phone lines as a submonoid. We prove several new results about this
submonoid, as well. In particular, we establish a sharp bound on chains of
calls in each of which someone learns something new.Comment: Minor textual edits, final versio
Asymptotic lower bounds for Gallai-Ramsey functions and numbers
For two graphs and a positive integer , the \emph{Gallai-Ramsey
number} is defined as the minimum number of vertices such
that any -edge-coloring of contains either a rainbow (all different
colored) copy of or a monochromatic copy of . If and are both
complete graphs, then we call it \emph{Gallai-Ramsey function} , which is the minimum number of vertices such that any
-edge-coloring of contains either a rainbow copy of or a
monochromatic copy of . In this paper, we derive some lower bounds for
Gallai-Ramsey functions and numbers by Lov\'{o}sz Local Lemma.Comment: 11 page
Changing upper irredundance by edge addition
AbstractDenote the upper irredundance number of a graph G by IR(G). A graph G is IR-edge-addition-sensitive if its upper irredundance number changes whenever an edge of Ḡ is added to G. Specifically, G is IR-edge-critical (IR+-edge-critical, respectively) if IR(G+e)<IR(G) (IR(G+e)>IR(G), respectively) for each edge e of Ḡ. We show that if G is IR-edge-addition-sensitive, then G is either IR-edge-critical or IR+-edge-critical. We obtain properties of the latter class of graphs, particularly in the case where β(G)=IR(G)=2 (where β(G) denotes the vertex independence number of G). This leads to an infinite class of IR+-edge-critical graphs where IR(G)=2
On the Parameterized Complexity of the Acyclic Matching Problem
A matching is a set of edges in a graph with no common endpoint. A matching M
is called acyclic if the induced subgraph on the endpoints of the edges in M is
acyclic. Given a graph G and an integer k, Acyclic Matching Problem seeks for
an acyclic matching of size k in G. The problem is known to be NP-complete. In
this paper, we investigate the complexity of the problem in different aspects.
First, we prove that the problem remains NP-complete for the class of planar
bipartite graphs of maximum degree three and arbitrarily large girth. Also, the
problem remains NP-complete for the class of planar line graphs with maximum
degree four. Moreover, we study the parameterized complexity of the problem. In
particular, we prove that the problem is W[1]-hard on bipartite graphs with
respect to the parameter k. On the other hand, the problem is fixed parameter
tractable with respect to the parameters tw and (k, c4), where tw and c4 are
the treewidth and the number of cycles with length 4 of the input graph. We
also prove that the problem is fixed parameter tractable with respect to the
parameter k for the line graphs and every proper minor-closed class of graphs
(including planar graphs)
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