30 research outputs found
The randomly driven Ising ferromagnet, Part II: One and two dimensions
We consider the behavior of an Ising ferromagnet obeying the Glauber dynamics
under the influence of a fast switching, random external field. In Part I, we
introduced a general formalism for describing such systems and presented the
mean field theory. In this article we derive results for the one dimensional
case, which can be only partially solved. Monte Carlo simulations performed on
a square lattice indicate that the main features of the mean field theory
survive the presence of strong fluctuations.Comment: 10 pages in REVTeX/LaTeX format, 17 eps/ps figures. Submitted to
Journal of Physics
A polynomial training algorithm for calculating perceptrons of optimal stability
Recomi (REpeated COrrelation Matrix Inversion) is a polynomially fast
algorithm for searching optimally stable solutions of the perceptron learning
problem. For random unbiased and biased patterns it is shown that the algorithm
is able to find optimal solutions, if any exist, in at worst O(N^4) floating
point operations. Even beyond the critical storage capacity alpha_c the
algorithm is able to find locally stable solutions (with negative stability) at
the same speed. There are no divergent time scales in the learning process. A
full proof of convergence cannot yet be given, only major constituents of a
proof are shown.Comment: 11 pages, Latex, 4 EPS figure
Cluster variation method and disorder varieties of two-dimensional Ising-like models
I show that the cluster variation method, long used as a powerful hierarchy
of approximations for discrete (Ising-like) two-dimensional lattice models,
yields exact results on the disorder varieties which appear when competitive
interactions are put into these models. I consider, as an example, the
plaquette approximation of the cluster variation method for the square lattice
Ising model with nearest-neighbor, next-nearest-neighbor and plaquette
interactions, and, after rederiving known results, report simple closed-form
expressions for the pair and plaquette correlation functions.Comment: 10 revtex pages, 1 postscript figur
Naive mean field approximation for image restoration
We attempt image restoration in the framework of the Baysian inference.
Recently, it has been shown that under a certain criterion the MAP (Maximum A
Posterior) estimate, which corresponds to the minimization of energy, can be
outperformed by the MPM (Maximizer of the Posterior Marginals) estimate, which
is equivalent to a finite-temperature decoding method. Since a lot of
computational time is needed for the MPM estimate to calculate the thermal
averages, the mean field method, which is a deterministic algorithm, is often
utilized to avoid this difficulty. We present a statistical-mechanical analysis
of naive mean field approximation in the framework of image restoration. We
compare our theoretical results with those of computer simulation, and
investigate the potential of naive mean field approximation.Comment: 9 pages, 11 figure
Comparative study of an Eden model for the irreversible growth of spins and the equilibrium Ising model
The Magnetic Eden Model (MEM) with ferromagnetic interactions between
nearest-neighbor spins is studied in dimensional rectangular geometries
for . In the MEM, magnetic clusters are grown by adding spins at the
boundaries of the clusters. The orientation of the added spins depends on both
the energetic interaction with already deposited spins and the temperature,
through a Boltzmann factor. A numerical Monte Carlo investigation of the MEM
has been performed and the results of the simulations have been analyzed using
finite-size scaling arguments. As in the case of the Ising model, the MEM in is non-critical (only exhibits an ordered phase at ). In
the MEM exhibits an order-disorder transition of second-order at a finite
temperature. Such transition has been characterized in detail and the relevant
critical exponents have been determined. These exponents are in agreement
(within error bars) with those of the Ising model in 2 dimensions. Further
similarities between both models have been found by evaluating the probability
distribution of the order parameter, the magnetization and the susceptibility.
Results obtained by means of extensive computer simulations allow us to put
forward a conjecture which establishes a nontrivial correspondence between the
MEM for the irreversible growth of spins and the equilibrium Ising model. This
conjecture is certainly a theoretical challenge and its confirmation will
contribute to the development of a framework for the study of irreversible
growth processes.Comment: 21 pages, 11 figure
Phase diagram of the random field Ising model on the Bethe lattice
The phase diagram of the random field Ising model on the Bethe lattice with a
symmetric dichotomous random field is closely investigated with respect to the
transition between the ferromagnetic and paramagnetic regime. Refining
arguments of Bleher, Ruiz and Zagrebnov [J. Stat. Phys. 93, 33 (1998)] an exact
upper bound for the existence of a unique paramagnetic phase is found which
considerably improves the earlier results. Several numerical estimates of
transition lines between a ferromagnetic and a paramagnetic regime are
presented. The obtained results do not coincide with a lower bound for the
onset of ferromagnetism proposed by Bruinsma [Phys. Rev. B 30, 289 (1984)]. If
the latter one proves correct this would hint to a region of coexistence of
stable ferromagnetic phases and a stable paramagnetic phase.Comment: Article has been condensed and reorganized; Figs 3,5,6 merged; Fig 4
omitted; Some discussion added at end of Sec. III; 9 pages, 5 figs, RevTeX4,
AMSTe
The randomly driven Ising ferromagnet, Part I: General formalism and mean field theory
We consider the behavior of an Ising ferromagnet obeying the Glauber dynamics
under the influence of a fast switching, random external field. After
introducing a general formalism for describing such systems, we consider here
the mean-field theory. A novel type of first order phase transition related to
spontaneous symmetry breaking and dynamic freezing is found. The
non-equilibrium stationary state has a complex structure, which changes as a
function of parameters from a singular-continuous distribution with Euclidean
or fractal support to an absolutely continuous one.Comment: 12 pages REVTeX/LaTeX format, 12 eps/ps figures. Submitted to Journal
of Physics
Finite-Size Scaling and Integer-Spin Heisenberg Chains
Finite‐size scaling (phenomenological renormalization) techniques are trusted and widely applied in low‐dimensional magnetism and, particularly, in lattice gauge field theory. Recently, investigations have begun which subject the theoretical basis to systematic and intensive scrutiny to determine the validity of finite‐size scaling in a variety of situations. The 2D ANNNI model is an example of a situation where finite‐size scaling methods encounter difficulty, related to the occurrence of a disorder line (one‐dimensional line). A second example concerns the behavior of the spin‐1/2 antiferromagnetic XXZ model where the T=0 critical behavior is exactly known and features an essential singularity at the isotropic Heisenberg point. Standard finite‐size scaling techniques do not convincingly reproduce the exact phase behavior and this is attributable to the essential singularity. The point is relevant in connection with a finite‐size scaling analysis of a spin‐one antiferromagnetic XXZ model, which claims to support a conjecture by Haldane that the T=0 phase behavior of integer‐spin Heisenberg chains is significantly different from that of half‐integer‐spin Heisenberg chains
Image restoration using the chiral Potts spin-glass
We report on the image reconstruction (IR) problem by making use of the
random chiral q-state Potts model, whose Hamiltonian possesses the same gauge
invariance as the usual Ising spin glass model. We show that the pixel
representation by means of the Potts variables is suitable for the gray-scale
level image which can not be represented by the Ising model. We find that the
IR quality is highly improved by the presence of a glassy term, besides the
usual ferromagnetic term under random external fields, as very recently pointed
out by Nishimori and Wong. We give the exact solution of the infinite range
model with q=3, the three gray-scale level case. In order to check our
analytical result and the efficiency of our model, 2D Monte Carlo simulations
have been carried out on real-world pictures with three and eight gray-scale
levels.Comment: RevTex 13 pages, 10 figure
Stationary Properties of a Randomly Driven Ising Ferromagnet
We consider the behavior of an Ising ferromagnet obeying the Glauber dynamics
under the influence of a fast switching, random external field. Analytic
results for the stationary state are presented in mean-field approximation,
exhibiting a novel type of first order phase transition related to dynamic
freezing. Monte Carlo simulations performed on a quadratic lattice indicate
that many features of the mean field theory may survive the presence of
fluctuations.Comment: 5 pages in RevTex format, 7 eps/ps figures, send comments to
"mailto:[email protected]", submitted to PR