733 research outputs found

    Sharp approximations to the Bernoulli periodic functions by trigonometric polynomials

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    We obtain optimal trigonometric polynomials of a given degree NN that majorize, minorize and approximate in L1(R/Z)L^1(\mathbb{R}/\mathbb{Z}) the Bernoulli periodic functions. These are the periodic analogues of two works of F. Littmann that generalize a paper of J. Vaaler. As applications we provide the corresponding Erd\"{o}s-Tur\'{a}n-type inequalities, approximations to other periodic functions and bounds for certain Hermitian forms.Comment: 14 pages. Accepted for publication in the J. Approx. Theory. V2 has additional references and some typos correcte

    GPU-accelerated discontinuous Galerkin methods on hybrid meshes

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    We present a time-explicit discontinuous Galerkin (DG) solver for the time-domain acoustic wave equation on hybrid meshes containing vertex-mapped hexahedral, wedge, pyramidal and tetrahedral elements. Discretely energy-stable formulations are presented for both Gauss-Legendre and Gauss-Legendre-Lobatto (Spectral Element) nodal bases for the hexahedron. Stable timestep restrictions for hybrid meshes are derived by bounding the spectral radius of the DG operator using order-dependent constants in trace and Markov inequalities. Computational efficiency is achieved under a combination of element-specific kernels (including new quadrature-free operators for the pyramid), multi-rate timestepping, and acceleration using Graphics Processing Units.Comment: Submitted to CMAM

    On constrained Markov-Nikolskii type inequality for k−k-absolutely monotone polynomials

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    We consider the classical problem of estimating norms of higher order derivatives of algebraic polynomial via the norms of polynomial itself. The corresponding extremal problem for general polynomials in uniform norm was solved by A. A. Markov. In 1926,1926, Bernstein found the exact constant in the Markov inequality for monotone polynomials. T. Erdelyi showed that the order of the constants in constrained Markov-Nikolskii inequality for k−k- absolutely monotone polynomials is the same as in the classical one in case 0<p≤q≤∞.0<p\le q\le\infty. In this paper, we find the exact order for all values of 0<p,q≤∞.0<p,q\le\infty. It turned out that for the case q<pq<p constrained Markov-Nikolskii inequality can be significantly improved.Comment: Journal reference adde
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