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Sharp L p -weighted Sobolev inequalities

Carlos Pérez — 1995

Annales de l'institut Fourier

We prove sharp weighted inequalities of the form R n | f ( x ) | p v ( x ) d x C R n | q ( D ) ( f ) ( x ) | p N ( v ) ( x ) d x where q ( D ) is a differential operator and N is a combination of maximal type operator related to q ( D ) and to p .

Robust Observer-based control of switched nonlinear systems with quantized and sampled output

Carlos PerezManuel Mera — 2015

Kybernetika

This paper deals with the robust stabilization of a class of nonlinear switched systems with non-vanishing bounded perturbations. The nonlinearities in the systems satisfy a quasi-Lipschitz condition. An observer-based linear-type switching controller with quantized and sampled output signal is considered. Using a dwell-time approach and an extended version of the invariant ellipsoid method (IEM) sufficient conditions for stability in a practical sense are derived. These conditions are represented...

Generalized Hörmander conditions and weighted endpoint estimates

We consider two-weight estimates for singular integral operators and their commutators with bounded mean oscillation functions. Hörmander type conditions in the scale of Orlicz spaces are assumed on the kernels. We prove weighted weak-type estimates for pairs of weights (u,Su) where u is an arbitrary nonnegative function and S is a maximal operator depending on the smoothness of the kernel. We also obtain sufficient conditions on a pair of weights (u,v) for the operators to be bounded from L p ( v ) to...

Extensions of Rubio de Francia's extrapolation theorem.

David Cruz-UribeJosé María MartellCarlos Pérez — 2006

Collectanea Mathematica

One of the main results in modern harmonic analysis is the extrapolation theorem of J. L. Rubio de Francia for A weights. In this paper we discuss some recent extensions of this result. We present a new approach that, among other things, allows us to obtain estimates in rearrangement-invariant Banach function spaces as well as weighted modular inequalities. We also extend this extrapolation technique to the context of A weights. We apply the obtained results to the dyadic square function. Fractional...

Misclassified multinomial data: a Bayesian approach.

In this paper, the problem of inference with misclassified multinomial data is addressed. Over the last years there has been a significant upsurge of interest in the development of Bayesian methods to make inferences with misclassified data. The wide range of applications for several sampling schemes and the importance of including initial information make Bayesian analysis an essential tool to be used in this context. A review of the existing literature followed by a methodological discussion is...

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