30,289 research outputs found
First-Order and Temporal Logics for Nested Words
Nested words are a structured model of execution paths in procedural
programs, reflecting their call and return nesting structure. Finite nested
words also capture the structure of parse trees and other tree-structured data,
such as XML. We provide new temporal logics for finite and infinite nested
words, which are natural extensions of LTL, and prove that these logics are
first-order expressively-complete. One of them is based on adding a "within"
modality, evaluating a formula on a subword, to a logic CaRet previously
studied in the context of verifying properties of recursive state machines
(RSMs). The other logic, NWTL, is based on the notion of a summary path that
uses both the linear and nesting structures. For NWTL we show that
satisfiability is EXPTIME-complete, and that model-checking can be done in time
polynomial in the size of the RSM model and exponential in the size of the NWTL
formula (and is also EXPTIME-complete). Finally, we prove that first-order
logic over nested words has the three-variable property, and we present a
temporal logic for nested words which is complete for the two-variable fragment
of first-order.Comment: revised and corrected version of Mar 03, 201
Weighted Logics for Nested Words and Algebraic Formal Power Series
Nested words, a model for recursive programs proposed by Alur and Madhusudan,
have recently gained much interest. In this paper we introduce quantitative
extensions and study nested word series which assign to nested words elements
of a semiring. We show that regular nested word series coincide with series
definable in weighted logics as introduced by Droste and Gastin. For this we
establish a connection between nested words and the free bisemigroup. Applying
our result, we obtain characterizations of algebraic formal power series in
terms of weighted logics. This generalizes results of Lautemann, Schwentick and
Therien on context-free languages
Nested quantum search and NP-complete problems
A quantum algorithm is known that solves an unstructured search problem in a
number of iterations of order , where is the dimension of the
search space, whereas any classical algorithm necessarily scales as . It
is shown here that an improved quantum search algorithm can be devised that
exploits the structure of a tree search problem by nesting this standard search
algorithm. The number of iterations required to find the solution of an average
instance of a constraint satisfaction problem scales as , with
a constant depending on the nesting depth and the problem
considered. When applying a single nesting level to a problem with constraints
of size 2 such as the graph coloring problem, this constant is
estimated to be around 0.62 for average instances of maximum difficulty. This
corresponds to a square-root speedup over a classical nested search algorithm,
of which our presented algorithm is the quantum counterpart.Comment: 18 pages RevTeX, 3 Postscript figure
Novel Phases of Planar Fermionic Systems
We discuss a {\em family} of planar (two-dimensional) systems with the
following phase strucure: a Fermi liquid, which goes by a second order
transition (with non classical exponent even in mean-field) to an intermediate,
inhomogeneous state (with nonstandard ordering momentum) , which in turn goes
by a first order transition to a state with canonical order parameter. We
analyze two examples: (i) a superconductor in a parallel magnetic field (which
was discussed independently by Bulaevskii)for which the inhomogeneous state is
obtained for where is the critical temperature (in Kelvin) of the superconductor
without a field and is measured in Tesla, and (ii) spinless (or, as is
explained, spin polarized) fermions near half-filling where a similar, sizeable
window (which grows in size with anisotropy) exists for the intermediate CDW
phase at an ordering momentum different from . We discuss the
experimental conditions for realizing and observing these phases and the
Renormalization Group approach to the transitions.Comment: ([email protected],[email protected]) 29 p Latex 4 figs
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