2,347 research outputs found
Packing chromatic vertex-critical graphs
The packing chromatic number of a graph is the smallest
integer such that the vertex set of can be partitioned into sets ,
, where vertices in are pairwise at distance at least .
Packing chromatic vertex-critical graphs, -critical for short, are
introduced as the graphs for which
holds for every vertex of . If , then is
--critical. It is shown that if is -critical,
then the set can be almost
arbitrary. The --critical graphs are characterized, and
--critical graphs are characterized in the case when they
contain a cycle of length at least which is not congruent to modulo
. It is shown that for every integer there exists a
--critical tree and that a --critical
caterpillar exists if and only if . Cartesian products are also
considered and in particular it is proved that if and are
vertex-transitive graphs and , then is -critical
Bandwidth theorem for random graphs
A graph is said to have \textit{bandwidth} at most , if there exists a
labeling of the vertices by , so that whenever
is an edge of . Recently, B\"{o}ttcher, Schacht, and Taraz
verified a conjecture of Bollob\'{a}s and Koml\'{o}s which says that for every
positive , there exists such that if is an
-vertex -chromatic graph with maximum degree at most which has
bandwidth at most , then any graph on vertices with minimum
degree at least contains a copy of for large enough
. In this paper, we extend this theorem to dense random graphs. For
bipartite , this answers an open question of B\"{o}ttcher, Kohayakawa, and
Taraz. It appears that for non-bipartite the direct extension is not
possible, and one needs in addition that some vertices of have independent
neighborhoods. We also obtain an asymptotically tight bound for the maximum
number of vertex disjoint copies of a fixed -chromatic graph which one
can find in a spanning subgraph of with minimum degree .Comment: 29 pages, 3 figure
Reinforcement learning based local search for grouping problems: A case study on graph coloring
Grouping problems aim to partition a set of items into multiple mutually
disjoint subsets according to some specific criterion and constraints. Grouping
problems cover a large class of important combinatorial optimization problems
that are generally computationally difficult. In this paper, we propose a
general solution approach for grouping problems, i.e., reinforcement learning
based local search (RLS), which combines reinforcement learning techniques with
descent-based local search. The viability of the proposed approach is verified
on a well-known representative grouping problem (graph coloring) where a very
simple descent-based coloring algorithm is applied. Experimental studies on
popular DIMACS and COLOR02 benchmark graphs indicate that RLS achieves
competitive performances compared to a number of well-known coloring
algorithms
Topological order from quantum loops and nets
I define models of quantum loops and nets which have ground states with
topological order. These make possible excited states comprised of deconfined
anyons with non-abelian braiding. With the appropriate inner product, these
quantum loop models are equivalent to net models whose topological weight
involves the chromatic polynomial. A useful consequence is that the models have
a quantum self-duality, making it possible to find a simple Hamiltonian
preserving the topological order. For the square lattice, this Hamiltonian has
only four-spin interactions
On the density of sets avoiding parallelohedron distance 1
The maximal density of a measurable subset of R^n avoiding Euclidean
distance1 is unknown except in the trivial case of dimension 1. In this paper,
we consider thecase of a distance associated to a polytope that tiles space,
where it is likely that the setsavoiding distance 1 are of maximal density
2^-n, as conjectured by Bachoc and Robins. We prove that this is true for n =
2, and for the Vorono\"i regions of the lattices An, n >= 2
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