877 research outputs found
Hydrodynamic limit of asymmetric exclusion processes under diffusive scaling in
We consider the asymmetric exclusion process. We start from a profile which
is constant along the drift direction and prove that the density profile, under
a diffusive rescaling of time, converges to the solution of a parabolic
equation
Gaussian estimates for symmetric simple exclusion processes
We prove Gaussian tail estimates for the transition probability of
particles evolving as symmetric exclusion processes on \bb Z^d, improving
results obtained in \cite{l}. We derive from this result a non-equilibrium
Boltzmann-Gibbs principle for the symmetric simple exclusion process in
dimension 1 starting from a product measure with slowly varying parameter
Coupled dark energy: a dynamical analysis with complex scalar field
The dynamical analysis for coupled dark energy with dark matter is presented,
where a complex scalar field is taken into account and it is considered in the
presence of a barothropic fluid. We consider three dark energy candidates:
quintessence, phantom and tachyon. The critical points are found and their
stabilities analyzed, leading to the three cosmological eras (radiation, matter
and dark energy), for a generic potential. The results presented here enlarge
the previous analyses found in the literature.Comment: 9 pages, version accepted for publication in EPJC. arXiv admin note:
text overlap with arXiv:1505.0324
Metastability of finite state Markov chains: a recursive procedure to identify slow variables for model reduction
Consider a sequence of continuous-time, irreducible
Markov chains evolving on a fixed finite set , indexed by a parameter .
Denote by the jump rates of the Markov chain , and
assume that for any pair of bonds , converges as . Under a
hypothesis slightly more restrictive (cf. \eqref{mhyp} below), we present a
recursive procedure which provides a sequence of increasing time-scales
\theta^1_N, \dots, \theta^{\mf p}_N, , and of
coarsening partitions \{\ms E^j_1, \dots, \ms E^j_{\mf n_j}, \Delta^j\},
1\le j\le \mf p, of the set . Let \phi_j: E \to \{0,1, \dots, \mf n_j\}
be the projection defined by \phi_j(\eta) = \sum_{x=1}^{\mf n_j} x \, \mb
1\{\eta \in \ms E^j_x\}. For each 1\le j\le \mf p, we prove that the hidden
Markov chain converges to a Markov
chain on \{1, \dots, \mf n_j\}
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