376 research outputs found
More on Rainbow Cliques in Edge-Colored Graphs
In an edge-colored graph , a rainbow clique is a -complete
subgraph in which all the edges have distinct colors. Let and be
the number of edges and colors in , respectively. In this paper, we show
that for any , if and , then for
sufficiently large , the number of rainbow cliques in is
.
We also characterize the extremal graphs without a rainbow clique ,
for , when is maximum.
Our results not only address existing questions but also complete the
findings of Ehard and Mohr (Ehard and Mohr, Rainbow triangles and cliques in
edge-colored graphs. {\it European Journal of Combinatorics, 84:103037,2020}).Comment: 16page
Algorithms and Bounds for Very Strong Rainbow Coloring
A well-studied coloring problem is to assign colors to the edges of a graph
so that, for every pair of vertices, all edges of at least one shortest
path between them receive different colors. The minimum number of colors
necessary in such a coloring is the strong rainbow connection number
(\src(G)) of the graph. When proving upper bounds on \src(G), it is natural
to prove that a coloring exists where, for \emph{every} shortest path between
every pair of vertices in the graph, all edges of the path receive different
colors. Therefore, we introduce and formally define this more restricted edge
coloring number, which we call \emph{very strong rainbow connection number}
(\vsrc(G)).
In this paper, we give upper bounds on \vsrc(G) for several graph classes,
some of which are tight. These immediately imply new upper bounds on \src(G)
for these classes, showing that the study of \vsrc(G) enables meaningful
progress on bounding \src(G). Then we study the complexity of the problem to
compute \vsrc(G), particularly for graphs of bounded treewidth, and show this
is an interesting problem in its own right. We prove that \vsrc(G) can be
computed in polynomial time on cactus graphs; in contrast, this question is
still open for \src(G). We also observe that deciding whether \vsrc(G) = k
is fixed-parameter tractable in and the treewidth of . Finally, on
general graphs, we prove that there is no polynomial-time algorithm to decide
whether \vsrc(G) \leq 3 nor to approximate \vsrc(G) within a factor
, unless PNP
Properly coloured copies and rainbow copies of large graphs with small maximum degree
Let G be a graph on n vertices with maximum degree D. We use the Lov\'asz
local lemma to show the following two results about colourings c of the edges
of the complete graph K_n. If for each vertex v of K_n the colouring c assigns
each colour to at most (n-2)/22.4D^2 edges emanating from v, then there is a
copy of G in K_n which is properly edge-coloured by c. This improves on a
result of Alon, Jiang, Miller, and Pritikin [Random Struct. Algorithms 23(4),
409-433, 2003]. On the other hand, if c assigns each colour to at most n/51D^2
edges of K_n, then there is a copy of G in K_n such that each edge of G
receives a different colour from c. This proves a conjecture of Frieze and
Krivelevich [Electron. J. Comb. 15(1), R59, 2008]. Our proofs rely on a
framework developed by Lu and Sz\'ekely [Electron. J. Comb. 14(1), R63, 2007]
for applying the local lemma to random injections. In order to improve the
constants in our results we use a version of the local lemma due to Bissacot,
Fern\'andez, Procacci, and Scoppola [preprint, arXiv:0910.1824].Comment: 9 page
On small Mixed Pattern Ramsey numbers
We call the minimum order of any complete graph so that for any coloring of
the edges by colors it is impossible to avoid a monochromatic or rainbow
triangle, a Mixed Ramsey number. For any graph with edges colored from the
above set of colors, if we consider the condition of excluding in the
above definition, we produce a \emph{Mixed Pattern Ramsey number}, denoted
. We determine this function in terms of for all colored -cycles
and all colored -cliques. We also find bounds for when is a
monochromatic odd cycles, or a star for sufficiently large . We state
several open questions.Comment: 16 page
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