627 research outputs found
Erasure entropies and Gibbs measures
Recently Verdu and Weissman introduced erasure entropies, which are meant to
measure the information carried by one or more symbols given all of the
remaining symbols in the realization of the random process or field. A natural
relation to Gibbs measures has also been observed. In his short note we study
this relation further, review a few earlier contributions from statistical
mechanics, and provide the formula for the erasure entropy of a Gibbs measure
in terms of the corresponding potentia. For some
2-dimensonal Ising models, for which Verdu and Weissman suggested a numerical
procedure, we show how to obtain an exact formula for the erasure entropy. lComment: 1o pages, to appear in Markov Processes and Related Field
The Renormalization-Group peculiarities of Griffiths and Pearce: What have we learned?
We review what we have learned about the "Renormalization-Group
peculiarities" which were discovered about twenty years ago by Griffiths and
Pearce, and which questions they asked are still widely open. We also mention
some related developments.Comment: Proceedings Marseille meeting on mathematical results in statistical
mechanic
A remark on the notion of robust phase transitions
We point out that the high-q Potts model on a regular lattice at its
transition temperature provides an example of a non-robust - in the sense
recently proposed by Pemantle and Steif- phase transition
Scaling and Inverse Scaling in Anisotropic Bootstrap percolation
In bootstrap percolation it is known that the critical percolation threshold
tends to converge slowly to zero with increasing system size, or, inversely,
the critical size diverges fast when the percolation probability goes to zero.
To obtain higher-order terms (that is, sharp and sharper thresholds) for the
percolation threshold in general is a hard question. In the case of
two-dimensional anisotropic models, sometimes correction terms can be obtained
from inversion in a relatively simple manner.Comment: Contribution to the proceedings of the 2013 EURANDOM workshop
Probabilistic Cellular Automata: Theory, Applications and Future
Perspectives, equation typo corrected, constant of generalisation correcte
Aperiodicity in equilibrium systems: Between order and disorder
Spatial aperiodicity occurs in various models and material s. Although today
the most well-known examples occur in the area of quasicrystals, other
applications might also be of interest. Here we discuss some issues related to
the notion and occurrence of aperiodic order in equilibrium statistical
mechanics. In particular, we consider some spectral characterisations,and
shortly review what is known about the occurrence of aperiodic order in lattice
models at zero and non-zero temperatures. At the end some more speculative
connections to the theory of (spin-)glasses are indicated.Comment: Contribution to ICQ12, some corrections and explanatory remarks adde
Dynamical versus diffraction spectrum for structures with finite local complexity
It is well-known that the dynamical spectrum of an ergodic measure dynamical
system is related to the diffraction measure of a typical element of the
system. This situation includes ergodic subshifts from symbolic dynamics as
well as ergodic Delone dynamical systems, both via suitable embeddings. The
connection is rather well understood when the spectrum is pure point, where the
two spectral notions are essentially equivalent. In general, however, the
dynamical spectrum is richer. Here, we consider (uniquely) ergodic systems of
finite local complexity and establish the equivalence of the dynamical spectrum
with a collection of diffraction spectra of the system and certain factors.
This equivalence gives access to the dynamical spectrum via these diffraction
spectra. It is particularly useful as the diffraction spectra are often simpler
to determine and, in many cases, only very few of them need to be calculated.Comment: 27 pages; some minor revisions and improvement
Decimation of the Dyson-Ising Ferromagnet
We study the decimation to a sublattice of half the sites, of the
one-dimensional Dyson-Ising ferromagnet with slowly decaying long-range pair
interactions of the form , in the phase transition
region (1< 2, and low temperature). We prove non-Gibbsianness of
the decimated measure at low enough temperatures by exhibiting a point of
essential discontinuity for the finite-volume conditional probabilities of
decimated Gibbs measures. Thus result complements previous work proving
conservation of Gibbsianness for fastly decaying potentials ( > 2) and
provides an example of a "standard" non-Gibbsian result in one dimension, in
the vein of similar resuts in higher dimensions for short-range models. We also
discuss how these measures could fit within a generalized (almost vs. weak)
Gibbsian framework. Moreover we comment on the possibility of similar results
for some other transformations.Comment: 18 pages, some corrections and references added, to appear in
Stoch.Proc.App
Nonexistence of random gradient Gibbs measures in continuous interface models in
We consider statistical mechanics models of continuous spins in a disordered
environment. These models have a natural interpretation as effective interface
models. It is well known that without disorder there are no interface Gibbs
measures in infinite volume in dimension , while there are ``gradient
Gibbs measures'' describing an infinite-volume distribution for the increments
of the field, as was shown by Funaki and Spohn. In the present paper we show
that adding a disorder term prohibits the existence of such gradient Gibbs
measures for general interaction potentials in . This nonexistence result
generalizes the simple case of Gaussian fields where it follows from an
explicit computation. In where random gradient Gibbs measures are
expected to exist, our method provides a lower bound of the order of the
inverse of the distance on the decay of correlations of Gibbs expectations
w.r.t. the distribution of the random environment.Comment: Published in at http://dx.doi.org/10.1214/07-AAP446 the Annals of
Applied Probability (http://www.imstat.org/aap/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Multiple-Layer Parking with Screening
In this article a multilayer parking system with screening of size n=3 is
studied with a focus on the time-dependent particle density. We prove that the
asymptotic limit of the particle density increases from an average density of
1/3 on the first layer to the value of (10 - \sqrt 5 )/19 in higher layers
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