17,138 research outputs found
Minimizing Running Costs in Consumption Systems
A standard approach to optimizing long-run running costs of discrete systems
is based on minimizing the mean-payoff, i.e., the long-run average amount of
resources ("energy") consumed per transition. However, this approach inherently
assumes that the energy source has an unbounded capacity, which is not always
realistic. For example, an autonomous robotic device has a battery of finite
capacity that has to be recharged periodically, and the total amount of energy
consumed between two successive charging cycles is bounded by the capacity.
Hence, a controller minimizing the mean-payoff must obey this restriction. In
this paper we study the controller synthesis problem for consumption systems
with a finite battery capacity, where the task of the controller is to minimize
the mean-payoff while preserving the functionality of the system encoded by a
given linear-time property. We show that an optimal controller always exists,
and it may either need only finite memory or require infinite memory (it is
decidable in polynomial time which of the two cases holds). Further, we show
how to compute an effective description of an optimal controller in polynomial
time. Finally, we consider the limit values achievable by larger and larger
battery capacity, show that these values are computable in polynomial time, and
we also analyze the corresponding rate of convergence. To the best of our
knowledge, these are the first results about optimizing the long-run running
costs in systems with bounded energy stores.Comment: 32 pages, corrections of typos and minor omission
Additivity property and emergence of power laws in nonequilibrium steady states
We show that an equilibriumlike additivity property can remarkably lead to
power-law distributions observed frequently in a wide class of
out-of-equilibrium systems. The additivity property can determine the full
scaling form of the distribution functions and the associated exponents. The
asymptotic behavior of these distributions is solely governed by branch-cut
singularity in the variance of subsystem mass. To substantiate these claims, we
explicitly calculate, using the additivity property, subsystem mass
distributions in a wide class of previously studied mass aggregation models as
well as in their variants. These results could help in the thermodynamic
characterization of nonequilibrium critical phenomena.Comment: Revised longer version, 4 figure
Phase transitions in Ising model on a Euclidean network
A one dimensional network on which there are long range bonds at lattice
distances with the probability has been taken
under consideration. We investigate the critical behavior of the Ising model on
such a network where spins interact with these extra neighbours apart from
their nearest neighbours for . It is observed that there is
a finite temperature phase transition in the entire range. For , finite size scaling behaviour of various quantities are consistent with
mean field exponents while for , the exponents depend on
. The results are discussed in the context of earlier observations on
the topology of the underlying network.Comment: 7 pages, revtex4, 7 figures; to appear in Physical Review E, minor
changes mad
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