4,233 research outputs found
Zero forcing in iterated line digraphs
Zero forcing is a propagation process on a graph, or digraph, defined in
linear algebra to provide a bound for the minimum rank problem. Independently,
zero forcing was introduced in physics, computer science and network science,
areas where line digraphs are frequently used as models. Zero forcing is also
related to power domination, a propagation process that models the monitoring
of electrical power networks.
In this paper we study zero forcing in iterated line digraphs and provide a
relationship between zero forcing and power domination in line digraphs. In
particular, for regular iterated line digraphs we determine the minimum
rank/maximum nullity, zero forcing number and power domination number, and
provide constructions to attain them. We conclude that regular iterated line
digraphs present optimal minimum rank/maximum nullity, zero forcing number and
power domination number, and apply our results to determine those parameters on
some families of digraphs often used in applications
Dichotomy for tree-structured trigraph list homomorphism problems
Trigraph list homomorphism problems (also known as list matrix partition
problems) have generated recent interest, partly because there are concrete
problems that are not known to be polynomial time solvable or NP-complete. Thus
while digraph list homomorphism problems enjoy dichotomy (each problem is
NP-complete or polynomial time solvable), such dichotomy is not necessarily
expected for trigraph list homomorphism problems. However, in this paper, we
identify a large class of trigraphs for which list homomorphism problems do
exhibit a dichotomy. They consist of trigraphs with a tree-like structure, and,
in particular, include all trigraphs whose underlying graphs are trees. In
fact, we show that for these tree-like trigraphs, the trigraph list
homomorphism problem is polynomially equivalent to a related digraph list
homomorphism problem. We also describe a few examples illustrating that our
conditions defining tree-like trigraphs are not unnatural, as relaxing them may
lead to harder problems
On the number of outer automorphisms of the automorphism group of a right-angled Artin group
We show that there is no uniform upper bound on |Out(Aut(A))| when A ranges
over all right-angled Artin groups. This is in contrast with the cases where A
is free or free abelian: for all n, Dyer-Formanek and Bridson-Vogtmann showed
that Out(Aut(F_n)) = 1, while Hua-Reiner showed |Out(Aut(Z^n)| = |Out(GL(n,Z))|
< 5. We also prove the analogous theorem for Out(Out(A)). We establish our
results by giving explicit examples; one useful tool is a new class of graphs
called austere graphs
Online Learning with Feedback Graphs: Beyond Bandits
We study a general class of online learning problems where the feedback is
specified by a graph. This class includes online prediction with expert advice
and the multi-armed bandit problem, but also several learning problems where
the online player does not necessarily observe his own loss. We analyze how the
structure of the feedback graph controls the inherent difficulty of the induced
-round learning problem. Specifically, we show that any feedback graph
belongs to one of three classes: strongly observable graphs, weakly observable
graphs, and unobservable graphs. We prove that the first class induces learning
problems with minimax regret, where
is the independence number of the underlying graph; the second class
induces problems with minimax regret,
where is the domination number of a certain portion of the graph; and
the third class induces problems with linear minimax regret. Our results
subsume much of the previous work on learning with feedback graphs and reveal
new connections to partial monitoring games. We also show how the regret is
affected if the graphs are allowed to vary with time
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