27,151 research outputs found
Similarities between the and Hubbard models in weakly correlated regimes
We present a comparative study of the Hubbard and models far away from
half-filling. We show that, at such fillings the Hamiltonian can be seen
as an effective model of the repulsive Hubbard Hamiltonian over the whole range
of correlation strength. Indeed, the range of the
Hubbard model can be mapped onto the finite range of the
model, provided that the effective exchange parameter is defined
variationally as the local singlet-triplet excitation energy. In this picture
the uncorrelated limit U=0 is associated with the super-symmetric point
and the infinitely correlated limit with the usual J=0
limit. A numerical comparison between the two models is presented using
different macroscopic and microscopic properties such as energies, charge gaps
and bond orders on a quarter-filled infinite chain. The usage of the
Hamiltonian in low-filled systems can therefore be a good alternative to the
Hubbard model in large time-consuming calculations.Comment: To be published in EPJB. 6 pages. 5 figure
Random sampling of long-memory stationary processe
This paper investigates the second order properties of a stationary process
after random sampling. While a short memory process gives always rise to a
short memory one, we prove that long-memory can disappear when the sampling law
has heavy enough tails. We prove that under rather general conditions the
existence of the spectral density is preserved by random sampling. We also
investigate the effects of deterministic sampling on seasonal long-memory
On the air permeability of Populus pit
Sap hydrodynamics in vascular cells of trees seems to be controlled by small membranes called pits. Understanding how the pit junctions regulate the sap flow and stop embolism by cavitation is today a challenging issue. The hypothesis that the pit porosity adjusts the flow under negative pressure and stops the air bubble diffusion need to be validated. In this talk, we will present the experimental results on Populus trees that support the idea that pits operate "passively" in a biological point of view. This work is based on atomic force microscope (AFM) experiments, which have been realised to measure quantitatively the mechanical properties of pits at the nanoscale
Stable variable selection for right censored data: comparison of methods
The instability in the selection of models is a major concern with data sets
containing a large number of covariates. This paper deals with variable
selection methodology in the case of high-dimensional problems where the
response variable can be right censored. We focuse on new stable variable
selection methods based on bootstrap for two methodologies: the Cox
proportional hazard model and survival trees. As far as the Cox model is
concerned, we investigate the bootstrapping applied to two variable selection
techniques: the stepwise algorithm based on the AIC criterion and the
L1-penalization of Lasso. Regarding survival trees, we review two
methodologies: the bootstrap node-level stabilization and random survival
forests. We apply these different approaches to two real data sets. We compare
the methods on the prediction error rate based on the Harrell concordance index
and the relevance of the interpretation of the corresponding selected models.
The aim is to find a compromise between a good prediction performance and ease
to interpretation for clinicians. Results suggest that in the case of a small
number of individuals, a bootstrapping adapted to L1-penalization in the Cox
model or a bootstrap node-level stabilization in survival trees give a good
alternative to the random survival forest methodology, known to give the
smallest prediction error rate but difficult to interprete by
non-statisticians. In a clinical perspective, the complementarity between the
methods based on the Cox model and those based on survival trees would permit
to built reliable models easy to interprete by the clinician.Comment: nombre de pages : 29 nombre de tableaux : 2 nombre de figures :
Fractionnally charged excitations in the charge density wave state of a quarter-filled t-J chain with quantum phonons
Elementary excitations of the 4k charge density wave state of a
quarter-filled strongly correlated electronic one-dimensional chain are
investigated in the presence of dispersionless quantum optical phonons using
Density Matrix Renormalization Group techniques. Such excitations are shown to
be topological unbound solitons carrying charge . Relevance to the 4k
charge density wave instability in or recently discovered
in (TMTTF)X (X=PF, AsF) is discussed.Comment: 4 pages, 4 figure
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