2,116 research outputs found

    High-order accurate entropy stable finite difference schemes for one- and two-dimensional special relativistic hydrodynamics

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    This paper develops the high-order accurate entropy stable finite difference schemes for one- and two-dimensional special relativistic hydrodynamic equations. The schemes are built on the entropy conservative flux and the weighted essentially non-oscillatory (WENO) technique as well as explicit Runge-Kutta time discretization. The key is to technically construct the affordable entropy conservative flux of the semi-discrete second-order accurate entropy conservative schemes satisfying the semi-discrete entropy equality for the found convex entropy pair. As soon as the entropy conservative flux is derived, the dissipation term can be added to give the semi-discrete entropy stable schemes satisfying the semi-discrete entropy inequality with the given convex entropy function. The WENO reconstruction for the scaled entropy variables and the high-order explicit Runge-Kutta time discretization are implemented to obtain the fully-discrete high-order schemes. Several numerical tests are conducted to validate the accuracy and the ability to capture discontinuities of our entropy stable schemes.Comment: 26 pages, 14 figure

    Convex-constrained Sparse Additive Modeling and Its Extensions

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    Sparse additive modeling is a class of effective methods for performing high-dimensional nonparametric regression. In this work we show how shape constraints such as convexity/concavity and their extensions, can be integrated into additive models. The proposed sparse difference of convex additive models (SDCAM) can estimate most continuous functions without any a priori smoothness assumption. Motivated by a characterization of difference of convex functions, our method incorporates a natural regularization functional to avoid overfitting and to reduce model complexity. Computationally, we develop an efficient backfitting algorithm with linear per-iteration complexity. Experiments on both synthetic and real data verify that our method is competitive against state-of-the-art sparse additive models, with improved performance in most scenarios.Comment: 17 pages, 2 figure

    The rate of increase of mean values of functions in weighted Hardy spaces

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    Let 0<p<∞0<p<\infty and 0≀q<∞0\leq q<\infty. For each ff in the weighted Hardy space Hp,qH_{p, q},\ we show that dβˆ₯frβˆ₯p,qp/drd\|f_r\|_{p,q}^p/dr grows at most like o(1/1βˆ’r)o(1/1- r) as rβ†’1r\rightarrow 1.Comment: 5 pages, accepted for publication in Acta Mathematica Vietnamic

    Norm-attaining integral operators on analytic function spaces

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    Any bounded analytic function gg induces a bounded integral operator SgS_g on the Bloch space, the Dirichlet space and BMOABMOA respectively. SgS_g attains its norm on the Bloch space and BMOABMOA for any gg, but does not attain its norm on the Dirichlet space for non-constant gg. Some results are also obtained for SgS_g on the little Bloch space, and for another integral operator TgT_g from the Dirichlet space to the Bergman space.Comment: 9 page

    Analytic version of critical QQ spaces and their properties

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    In this paper, we establish an analytic version of critical spaces QΞ±Ξ²(Rn)Q_{\alpha}^{\beta}(\mathbb{R}^{n}) on unit disc D\mathbb{D}, denoted by QpΞ²(D)Q^{\beta}_{p}(\mathbb{D}). Further we prove a relation between QpΞ²(D)Q^{\beta}_{p}(\mathbb{D}) and Morrey spaces. By the boundedness of two integral operators, we give the multiplier spaces of QpΞ²(D)Q^{\beta}_{p}(\mathbb{D})

    Strict singularity of Volterra type operators on Hardy spaces

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    In this paper, we first characterize the boundedness and compactness of Volterra type operator Sgf(z)=∫0zfβ€²(ΞΆ)g(ΞΆ)dΞΆ,Β z∈D,S_gf(z) = \int_0^z f'(\zeta)g(\zeta)d\zeta, \ z \in \mathbb{D}, defined on Hardy spaces Hp, 0<p<∞H^p, \, 0< p <\infty. The spectrum of SgS_g is also obtained. Then we prove that SgS_g fixes an isomorphic copy of β„“p\ell^p and an isomorphic copy of β„“2\ell^2 if the operator SgS_g is not compact on Hp(1≀p<∞)H^p (1\leq p<\infty). In particular, this implies that the strict singularity of the operator SgS_g coincides with the compactness of the operator SgS_g on HpH^p. At last, we post an open question for further study.Comment: 9 page

    Embedding theorem for Dirichlet type spaces

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    Using Carleson measure theorem of weighted Bergman spaces, we provide a complete characterization of embedding theorem for Dirichlet type spaces. As an application, we study the Volterra integral operator and multipliers for Dirichlet type spaces

    Strict singularity of weighted composition operators on derivative Hardy spaces

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    We prove that the weighted composition operator Wϕ,φW_{\phi,\varphi} fixes an isomorphic copy of ℓp\ell^p if the operator Wϕ,φW_{\phi,\varphi} is not compact on the derivative Hardy space SpS^p. In particular, this implies that the strict singularity of the operator Wϕ,φW_{\phi,\varphi} coincides with the compactness of it on SpS^p. Moreover, when p≠2p\neq2, we characterize the conditions for those weighted composition operators Wϕ,φW_{\phi,\varphi} on SpS^p which fix an isomorphic copy of ℓ2\ell^2 .Comment: 9 page

    Group Sparse Additive Models

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    We consider the problem of sparse variable selection in nonparametric additive models, with the prior knowledge of the structure among the covariates to encourage those variables within a group to be selected jointly. Previous works either study the group sparsity in the parametric setting (e.g., group lasso), or address the problem in the non-parametric setting without exploiting the structural information (e.g., sparse additive models). In this paper, we present a new method, called group sparse additive models (GroupSpAM), which can handle group sparsity in additive models. We generalize the l1/l2 norm to Hilbert spaces as the sparsity-inducing penalty in GroupSpAM. Moreover, we derive a novel thresholding condition for identifying the functional sparsity at the group level, and propose an efficient block coordinate descent algorithm for constructing the estimate. We demonstrate by simulation that GroupSpAM substantially outperforms the competing methods in terms of support recovery and prediction accuracy in additive models, and also conduct a comparative experiment on a real breast cancer dataset.Comment: ICML201

    Order boundedness of weighted composition operators on weighted Dirichlet spaces and derivative Hardy spaces

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    In this paper, we completely characterize the order boundedness of weighted composition operators between different weighted Dirichlet spaces and different derivative Hardy spaces.Comment: 9 page
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