297 research outputs found
Condensation in stochastic particle systems with stationary product measures
We study stochastic particle systems with stationary product measures that
exhibit a condensation transition due to particle interactions or spatial
inhomogeneities. We review previous work on the stationary behaviour and put it
in the context of the equivalence of ensembles, providing a general
characterization of the condensation transition for homogeneous and
inhomogeneous systems in the thermodynamic limit. This leads to strengthened
results on weak convergence for subcritical systems, and establishes the
equivalence of ensembles for spatially inhomogeneous systems under very general
conditions, extending previous results which were focused on attractive and
finite systems. We use relative entropy techniques which provide simple proofs,
making use of general versions of local limit theorems for independent random
variables.Comment: 44 pages, 4 figures; improved figures and corrected typographical
error
A dynamical transition and metastability in a size-dependent zero-range process
We study a zero-range process with system-size dependent jump rates, which is
known to exhibit a discontinuous condensation transition. Metastable
homogeneous phases and condensed phases coexist in extended phase regions
around the transition, which have been fully characterized in the context of
the equivalence and non-equivalence of ensembles. In this communication we
report rigorous results on the large deviation properties and the free energy
landscape which determine the metastable dynamics of the system. Within the
condensed phase region we identify a new dynamic transition line which
separates two distinct mechanism of motion of the condensate, and provide a
complete discussion of all relevant timescales. Our results are directly
related to recent interest in metastable dynamics of condensing particle
systems. Our approach applies to more general condensing particle systems,
which exhibit the dynamical transition as a finite size effect.Comment: 12 pages, 5 figure
Dynamics of condensation in the totally asymmetric inclusion process
We study the dynamics of condensation of the inclusion process on a
one-dimensional periodic lattice in the thermodynamic limit, generalising
recent results on finite lattices for symmetric dynamics. Our main focus is on
totally asymmetric dynamics which have not been studied before, and which we
also compare to exact solutions for symmetric systems. We identify all relevant
dynamical regimes and corresponding time scales as a function of the system
size, including a coarsening regime where clusters move on the lattice and
exchange particles, leading to a growing average cluster size. Suitable
observables exhibit a power law scaling in this regime before they saturate to
stationarity following an exponential decay depending on the system size. Our
results are based on heuristic derivations and exact computations for symmetric
systems, and are supported by detailed simulation data.Comment: 23 pages, 6 figures, updated references and introductio
Time scale separation in the low temperature East model: Rigorous results
We consider the non-equilibrium dynamics of the East model, a linear chain of
0-1 spins evolving under a simple Glauber dynamics in the presence of a kinetic
constraint which forbids flips of those spins whose left neighbour is 1. We
focus on the glassy effects caused by the kinetic constraint as , where is the equilibrium density of the 0's. Specifically we analyse
time scale separation and dynamic heterogeneity, i.e. non-trivial
spatio-temporal fluctuations of the local relaxation to equilibrium, one of the
central aspects of glassy dynamics. For any mesoscopic length scale
, , we show that the characteristic time scale
associated to two length scales and are indeed
separated by a factor , , provided that is large
enough independently of . In particular, the evolution of mesoscopic
domains, i.e. maximal blocks of the form , occurs on a time scale
which depends sharply on the size of the domain, a clear signature of dynamic
heterogeneity. Finally we show that no form of time scale separation can occur
for , i.e. at the equilibrium scale , contrary to what was
previously assumed in the physical literature based on numerical simulations.Comment: 6 pages, 0 figures; clarified q dependence of bounds, results
unchange
On fuzzy input data and the worst scenario method
summary:In practice, input data entering a state problem are almost always uncertain to some extent. Thus it is natural to consider a set of admissible input data instead of a fixed and unique input. The worst scenario method takes into account all states generated by and maximizes a functional criterion reflecting a particular feature of the state solution, as local stress, displacement, or temperature, for instance. An increase in the criterion value indicates a deterioration in the featured quantity. The method takes all the elements of as equally important though this can be unrealistic and can lead to too pessimistic conclusions. Often, however, additional information expressed through a membership function of is available, i.e., becomes a fuzzy set. In the article, infinite-dimensional are considered, two ways of introducing fuzziness into are suggested, and the worst scenario method operating on fuzzy admissible sets is proposed to obtain a fuzzy set of outputs
Time scale separation and dynamic heterogeneity in the low temperature East model
We consider the non-equilibrium dynamics of the East model, a linear chain of
0-1 spins evolving under a simple Glauber dynamics in the presence of a kinetic
constraint which forbids flips of those spins whose left neighbor is 1. We
focus on the glassy effects caused by the kinetic constraint as , where is the equilibrium density of the 0's. In the physical literature
this limit is equivalent to the zero temperature limit. We first prove that,
for any given , the divergence as of three basic
characteristic time scales of the East process of length is the same. Then
we examine the problem of dynamic heterogeneity, i.e. non-trivial
spatio-temporal fluctuations of the local relaxation to equilibrium, one of the
central aspects of glassy dynamics. For any mesoscopic length scale
, , we show that the characteristic time scale of
two East processes of length and respectively are indeed
separated by a factor , , provided that
is large enough (independent of , for ). In
particular, the evolution of mesoscopic domains, i.e. maximal blocks of the
form , occurs on a time scale which depends sharply on the size of the
domain, a clear signature of dynamic heterogeneity. A key result for this part
is a very precise computation of the relaxation time of the chain as a function
of , well beyond the current knowledge, which uses induction on length
scales on one hand and a novel algorithmic lower bound on the other. Finally we
show that no form of time scale separation occurs for , i.e. at the
equilibrium scale , contrary to what was assumed in the physical
literature based on numerical simulations.Comment: 40 pages, 4 figures; minor typographical corrections and improvement
Mixing time and local exponential ergodicity of the East-like process in
The East process, a well known reversible linear chain of spins, represents
the prototype of a general class of interacting particle systems with
constraints modeling the dynamics of real glasses. In this paper we consider a
generalization of the East process living in the d-dimensional lattice and we
establish new progresses on the out- of-equilibrium behavior. In particular we
prove a form of (local) exponential ergodicity when the initial distribution is
far from the stationary one and we prove that the mixing time in a finite box
grows linearly in the side of the box
Mixing length scales of low temperature spin plaquettes models
Plaquette models are short range ferromagnetic spin models that play a key
role in the dynamic facilitation approach to the liquid glass transition. In
this paper we perform a rigorous study of the thermodynamic properties of two
dimensional plaquette models, the square and triangular plaquette models. We
prove that for any positive temperature both models have a unique infinite
volume Gibbs measure with exponentially decaying correlations. We analyse the
scaling of three a priori different static correlation lengths in the small
temperature regime, the mixing, cavity and multispin correlation lengths.
Finally, using the symmetries of the model we determine an exact self
similarity property for the infinite volume Gibbs measure.Comment: 33 pages, 9 figure
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