158 research outputs found
Proper Hamiltonian Cycles in Edge-Colored Multigraphs
A -edge-colored multigraph has each edge colored with one of the
available colors and no two parallel edges have the same color. A proper
Hamiltonian cycle is a cycle containing all the vertices of the multigraph such
that no two adjacent edges have the same color. In this work we establish
sufficient conditions for a multigraph to have a proper Hamiltonian cycle,
depending on several parameters such as the number of edges and the rainbow
degree.Comment: 13 page
Odd properly colored cycles in edge-colored graphs
It is well-known that an undirected graph has no odd cycle if and only if it
is bipartite. A less obvious, but similar result holds for directed graphs: a
strongly connected digraph has no odd cycle if and only if it is bipartite. Can
this result be further generalized to more general graphs such as edge-colored
graphs? In this paper, we study this problem and show how to decide if there
exists an odd properly colored cycle in a given edge-colored graph. As a
by-product, we show how to detect if there is a perfect matching in a graph
with even (or odd) number of edges in a given edge set
Enclosings of Decompositions of Complete Multigraphs in -Edge-Connected -Factorizations
A decomposition of a multigraph is a partition of its edges into
subgraphs . It is called an -factorization if every
is -regular and spanning. If is a subgraph of , a
decomposition of is said to be enclosed in a decomposition of if, for
every , is a subgraph of .
Feghali and Johnson gave necessary and sufficient conditions for a given
decomposition of to be enclosed in some -edge-connected
-factorization of for some range of values for the parameters
, , , , : , and either ,
or and and , or and . We generalize
their result to every and . We also give some
sufficient conditions for enclosing a given decomposition of in
some -edge-connected -factorization of for every
and , where is a constant that depends only on ,
and~.Comment: 17 pages; fixed the proof of Theorem 1.4 and other minor change
Assessing the Computational Complexity of Multi-Layer Subgraph Detection
Multi-layer graphs consist of several graphs (layers) over the same vertex
set. They are motivated by real-world problems where entities (vertices) are
associated via multiple types of relationships (edges in different layers). We
chart the border of computational (in)tractability for the class of subgraph
detection problems on multi-layer graphs, including fundamental problems such
as maximum matching, finding certain clique relaxations (motivated by community
detection), or path problems. Mostly encountering hardness results, sometimes
even for two or three layers, we can also spot some islands of tractability
Spotting Trees with Few Leaves
We show two results related to the Hamiltonicity and -Path algorithms in
undirected graphs by Bj\"orklund [FOCS'10], and Bj\"orklund et al., [arXiv'10].
First, we demonstrate that the technique used can be generalized to finding
some -vertex tree with leaves in an -vertex undirected graph in
time. It can be applied as a subroutine to solve the
-Internal Spanning Tree (-IST) problem in
time using polynomial space, improving upon previous algorithms for this
problem. In particular, for the first time we break the natural barrier of
. Second, we show that the iterated random bipartition employed by
the algorithm can be improved whenever the host graph admits a vertex coloring
with few colors; it can be an ordinary proper vertex coloring, a fractional
vertex coloring, or a vector coloring. In effect, we show improved bounds for
-Path and Hamiltonicity in any graph of maximum degree
or with vector chromatic number at most 8
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