362,313 research outputs found
On Metric Dimension of Functigraphs
The \emph{metric dimension} of a graph , denoted by , is the
minimum number of vertices such that each vertex is uniquely determined by its
distances to the chosen vertices. Let and be disjoint copies of a
graph and let be a function. Then a
\emph{functigraph} has the vertex set
and the edge set . We study how
metric dimension behaves in passing from to by first showing that
, if is a connected graph of order
and is any function. We further investigate the metric dimension of
functigraphs on complete graphs and on cycles.Comment: 10 pages, 7 figure
Monotone Maps, Sphericity and Bounded Second Eigenvalue
We consider {\em monotone} embeddings of a finite metric space into low
dimensional normed space. That is, embeddings that respect the order among the
distances in the original space. Our main interest is in embeddings into
Euclidean spaces. We observe that any metric on points can be embedded into
, while, (in a sense to be made precise later), for almost every
-point metric space, every monotone map must be into a space of dimension
.
It becomes natural, then, to seek explicit constructions of metric spaces
that cannot be monotonically embedded into spaces of sublinear dimension. To
this end, we employ known results on {\em sphericity} of graphs, which suggest
one example of such a metric space - that defined by a complete bipartitegraph.
We prove that an -regular graph of order , with bounded diameter
has sphericity , where is the second
largest eigenvalue of the adjacency matrix of the graph, and 0 < \delta \leq
\half is constant. We also show that while random graphs have linear
sphericity, there are {\em quasi-random} graphs of logarithmic sphericity.
For the above bound to be linear, must be constant. We show that
if the second eigenvalue of an -regular graph is bounded by a constant,
then the graph is close to being complete bipartite. Namely, its adjacency
matrix differs from that of a complete bipartite graph in only
entries. Furthermore, for any 0 < \delta < \half, and , there are
only finitely many -regular graphs with second eigenvalue at most
The Knill Graph Dimension from Clique Cover
In this paper we prove that the recursive (Knill) dimension of the join of two graphs has a simple formula in terms of the dimensions of the component graphs: dim (G1 + G2) = 1 + dim G1 + dim G2. We use this formula to derive an expression for the Knill dimension of a graph from its minimum clique cover. A corollary of the formula is that a graph made of the arbitrary union of complete graphs KN of the same order KN will have dimension N − 1
Search for the end of a path in the d-dimensional grid and in other graphs
We consider the worst-case query complexity of some variants of certain
\cl{PPAD}-complete search problems. Suppose we are given a graph and a
vertex . We denote the directed graph obtained from by
directing all edges in both directions by . is a directed subgraph of
which is unknown to us, except that it consists of vertex-disjoint
directed paths and cycles and one of the paths originates in . Our goal is
to find an endvertex of a path by using as few queries as possible. A query
specifies a vertex , and the answer is the set of the edges of
incident to , together with their directions. We also show lower bounds for
the special case when consists of a single path. Our proofs use the theory
of graph separators. Finally, we consider the case when the graph is a grid
graph. In this case, using the connection with separators, we give
asymptotically tight bounds as a function of the size of the grid, if the
dimension of the grid is considered as fixed. In order to do this, we prove a
separator theorem about grid graphs, which is interesting on its own right
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