1,786 research outputs found
Critical Casimir Forces for Films with Bulk Ordering Fields
The confinement of long-ranged critical fluctuations in the vicinity of
second-order phase transitions in fluids generates critical Casimir forces
acting on confining surfaces or among particles immersed in a critical solvent.
This is realized in binary liquid mixtures close to their consolute point
which belong to the universality class of the Ising model. The
deviation of the difference of the chemical potentials of the two species of
the mixture from its value at criticality corresponds to the bulk magnetic
filed of the Ising model. By using Monte Carlo simulations for this latter
representative of the corresponding universality class we compute the critical
Casimir force as a function of the bulk ordering field at the critical
temperature . We use a coupling parameter scheme for the computation
of the underlying free energy differences and an energy-magnetization
integration method for computing the bulk free energy density which is a
necessary ingredient. By taking into account finite-size corrections, for
various types of boundary conditions we determine the universal Casimir force
scaling function as a function of the scaling variable associated with the bulk
field. Our numerical data are compared with analytic results obtained from
mean-field theory.Comment: 12 pages, 4 figure
On the distribution of surface extrema in several one- and two-dimensional random landscapes
We study here a standard next-nearest-neighbor (NNN) model of ballistic
growth on one- and two-dimensional substrates focusing our analysis on the
probability distribution function of the number of maximal points
(i.e., local ``peaks'') of growing surfaces. Our analysis is based on two
central results: (i) the proof (presented here) of the fact that uniform
one--dimensional ballistic growth process in the steady state can be mapped
onto ''rise-and-descent'' sequences in the ensemble of random permutation
matrices; and (ii) the fact, established in Ref. \cite{ov}, that different
characteristics of ``rise-and-descent'' patterns in random permutations can be
interpreted in terms of a certain continuous--space Hammersley--type process.
For one--dimensional system we compute exactly and also present
explicit results for the correlation function characterizing the enveloping
surface. For surfaces grown on 2d substrates, we pursue similar approach
considering the ensemble of permutation matrices with long--ranged
correlations. Determining exactly the first three cumulants of the
corresponding distribution function, we define it in the scaling limit using an
expansion in the Edgeworth series, and show that it converges to a Gaussian
function as .Comment: 25 pages, 12 figure
Action at a distance in classical uniaxial ferromagnetic arrays
We examine in detail the theoretical foundations of striking long-range
couplings emerging in arrays of fluid cells connected by narrow channels by
using a lattice gas (Ising model) description of a system. We present a
reexamination of the well known exact determination of the two-point
correlation function along the edge of a channel using the transfer matrix
technique and a new interpretation is provided. The explicit form of the
correlation length is found to grow exponentially with the cross section of the
channels at the bulk two-phase coexistence. The aforementioned result is
recaptured by a refined version of the Fisher-Privman theory of first order
phase transitions in which the Boltzmann factor for a domain wall is decorated
with a contribution stemming from the point tension originated at its
endpoints. The Boltzmann factor for a domain wall together with the point
tension is then identified exactly thanks to two independent analytical
techniques, providing a critical test of the Fisher-Privman theory. We then
illustrate how to build up the network model from its elementary constituents,
the cells and the channels. Moreover, we are able to extract the strength of
the coupling between cells and express them in terms of the length and width
and coarse grained quantities such as surface and point tensions. We then
support our theoretical investigation with a series of corroborating results
based on Monte Carlo simulations. We illustrate how the long range ordering
occurs and how the latter is signaled by the thermodynamic quantities
corresponding to both planar and three-dimensional Ising arrays.Comment: 36 pages, 19 figure
Narrow-escape times for diffusion in microdomains with a particle-surface affinity: Mean-field results
We analyze the mean time t_{app} that a randomly moving particle spends in a
bounded domain (sphere) before it escapes through a small window in the
domain's boundary. A particle is assumed to diffuse freely in the bulk until it
approaches the surface of the domain where it becomes weakly adsorbed, and then
wanders diffusively along the boundary for a random time until it desorbs back
to the bulk, and etc. Using a mean-field approximation, we define t_{app}
analytically as a function of the bulk and surface diffusion coefficients, the
mean time it spends in the bulk between two consecutive arrivals to the surface
and the mean time it wanders on the surface within a single round of the
surface diffusion.Comment: 8 pages, 1 figure, submitted to JC
Random patterns generated by random permutations of natural numbers
We survey recent results on some one- and two-dimensional patterns generated
by random permutations of natural numbers. In the first part, we discuss
properties of random walks, evolving on a one-dimensional regular lattice in
discrete time , whose moves to the right or to the left are induced by the
rise-and-descent sequence associated with a given random permutation. We
determine exactly the probability of finding the trajectory of such a
permutation-generated random walk at site at time , obtain the
probability measure of different excursions and define the asymptotic
distribution of the number of "U-turns" of the trajectories - permutation
"peaks" and "through". In the second part, we focus on some statistical
properties of surfaces obtained by randomly placing natural numbers on sites of a 1d or 2d square lattices containing sites. We
calculate the distribution function of the number of local "peaks" - sites the
number at which is larger than the numbers appearing at nearest-neighboring
sites - and discuss some surprising collective behavior emerging in this model.Comment: 16 pages, 5 figures; submitted to European Physical Journal,
proceedings of the conference "Stochastic and Complex Systems: New Trends and
Expectations" Santander, Spai
Current-mediated synchronization of a pair of beating non-identical flagella
The basic phenomenology of experimentally observed synchronization (i.e., a
stochastic phase locking) of identical, beating flagella of a biflagellate alga
is known to be captured well by a minimal model describing the dynamics of
coupled, limit-cycle, noisy oscillators (known as the noisy Kuramoto model). As
demonstrated experimentally, the amplitudes of the noise terms therein, which
stem from fluctuations of the rotary motors, depend on the flagella length.
Here we address the conceptually important question which kind of synchrony
occurs if the two flagella have different lengths such that the noises acting
on each of them have different amplitudes. On the basis of a minimal model,
too, we show that a different kind of synchrony emerges, and here it is
mediated by a current carrying, steady-state; it manifests itself via
correlated "drifts" of phases. We quantify such a synchronization mechanism in
terms of appropriate order parameters and - for an ensemble of
trajectories and for a single realization of noises of duration ,
respectively. Via numerical simulations we show that both approaches become
identical for long observation times . This reveals an ergodic
behavior and implies that a single-realization order parameter is
suitable for experimental analysis for which ensemble averaging is not always
possible.Comment: 10 pages, 2 figure
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