2,109 research outputs found

    Radial-Type Muckenhoupt Weights

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    Given a space of homogeneous type (X, d, μ) and 1 < p< ∞, the main purpose of this note is to find sufficient conditions on a function w and on a subset F of X, such that w(d(x, F)) belongs to the Muckenhoupt class Ap(X, d, μ). Here d(x, F) denotes the distance between x∈ X and F.Fil: Carena, Marilina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; ArgentinaFil: Iaffei, Bibiana Raquel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; ArgentinaFil: Toschi, Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentin

    Pasozytnicza pijawka Batracobdelloides moogi [NESEMANN & CSANYI, 1995] [Hirudinea, Glossiphoniidae Vaillant, 1850] w faunie Polski?

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    In the light of recent studies (NESEMANN and CSÁNYI 1995) on the genus Batracobdella (VIRGUIER 1879) Batracobdella paludosa (CARENA 1824) - a component of the Polish fauna - is actually Batracobdelloides moogi (NESEMANN and CSÁNYI 1995)

    Mixed inequalities for commutators with multilinear symbol

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    We prove mixed inequalities for commutators of Calder´on-Zygmund operators (CZO) with multilinear symbols. Concretely, let m ∈ N and b = (b1, b2, . . . , bm) be a vectorial symbol such that each component bi ∈ Oscexp Lri , with ri ≥ 1. If u ∈ A1 and v ∈ A∞(u) we prove that the inequality uv x ∈ R n : |Tb(fv)(x)| v(x) > t ≤ C Z Rn Φ kbk |f(x)| t u(x)v(x) dx holds for every t > 0, where Φ(t) = t(1 + log+ t) r , with 1/r = Pm i=1 1/ri. We also consider operators of convolution type with kernels satisfying less regularity properties than CZO. In this setting, we give a Coifman type inequality for the associated commutators with multilinear symbol. This result allows us to deduce the L p (w)-boundedness of these operators when 1 < p < ∞ and w ∈ Ap. As a consequence, we can obtain the desired mixed inequality in this context.Fil: Berra, Fabio Martín. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Carena, Marilina. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; ArgentinaFil: Pradolini, Gladis Guadalupe. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentin

    Pasożytnicza pijawka Batracobdelloides moogi [NESEMANN & CSANYI, 1995] [Hirudinea, Glossiphoniidae Vaillant, 1850] w faunie Polski?

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    In the light of recent studies (NESEMANN and CSÁNYI 1995) on the genus Batracobdella (VIRGUIER 1879) Batracobdella paludosa (CARENA 1824) - a component of the Polish fauna - is actually Batracobdelloides moogi (NESEMANN and CSÁNYI 1995)

    Neural network modeling of bismuth-doped fiber amplifier

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    Bismuth-doped fiber amplifiers offer an attractive solution for meeting continuously growing enormous demand on the bandwidth of modern communication systems. However, practical deployment of such amplifiers require massive development and optimization efforts with the numerical modeling being the core design tool. The numerical optimization of bismuth-doped fiber amplifiers is challenging due to a large number of unknown parameters in the conventional rate equations models. We propose here a new approach to develop a bismuth-doped fiber amplifier model based on a neural network purely trained with experimental data sets in E- and S-bands. This method allows a robust prediction of the amplifier operation that incorporates variations of fiber properties due to manufacturing process and any fluctuations of the amplifier characteristics. Using the proposed approach the spectral dependencies of gain and noise figure for given bi-directional pump currents and input signal powers have been obtained. The low mean (less than 0.19 dB) and standard deviation (less than 0.09 dB) of the maximum error are achieved for gain and noise figure predictions in the 1410- 1490 nm spectral band
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