Integration of products of Gaussians and wavelets with applications to electronic structure calculations (Q2870614)

From MaRDI portal





scientific article; zbMATH DE number 6248267
Language Label Description Also known as
English
Integration of products of Gaussians and wavelets with applications to electronic structure calculations
scientific article; zbMATH DE number 6248267

    Statements

    0 references
    21 January 2014
    0 references
    Daubechies wavelets
    0 references
    biorthogonal wavelets
    0 references
    Gaussians
    0 references
    Coulomb potential
    0 references
    sinc quadrature
    0 references
    trapezoidal rule
    0 references
    numerical integral
    0 references
    error analysis
    0 references
    Fourier transform
    0 references
    numerical experiment
    0 references
    Integration of products of Gaussians and wavelets with applications to electronic structure calculations (English)
    0 references
    The author considers the numerical evaluation of integrals of the form: NEWLINE\[NEWLINE m_{\alpha,\nu\mu}^{(2)} := \int_{\mathbb{R}^2} e^{-\alpha(x_1-x_2)^2}(\psi_{\nu_1}\otimes\psi_{\nu_2})(\psi_{\mu_1}\otimes\psi_{\mu_2})dx NEWLINE\]NEWLINE for Daubechies wavelets \(\psi_\nu,\nu\in\nabla\), which by the Plancherel theorem is equivalent to NEWLINE\[NEWLINE m_{\alpha,\nu\mu}^{(2)} =\sqrt{\frac{\pi}{\alpha}} \int_{\mathbb{R}} e^{-\xi^2/(4\alpha)}\overline{\mathcal{F}(\psi_{\nu_1}\psi_{\mu_1})(\xi)}\mathcal{F}(\psi_{\nu_2}\psi_{\mu_2})(\xi)d\xi=:\int_{\mathbb{R}} u(\xi) d\xi. NEWLINE\]NEWLINE For a given step size \(h\), the author first analyzes the approximation error of \(m_{\alpha,\nu\mu}^{(2)}\) by discretizing the integral of the form \(\int u(\xi)d\xi \) to \(h\sum_{k\in\mathbb{Z}} u(kh)\). The author gives the dependence of \(h\) in terms of \(\alpha\) and the required error \(\delta\). Then, the approximation of \(h\sum_{k\in\mathbb{Z}} u(kh)\) by finitely many terms \(h\sum_{|k|<N_h} u(kh)\) is analyzed. With the error analysis, the author then proceeds to the estimation of \(u(\xi)\), which involves computation of the Fourier transform of wavelets. Using the properties of wavelets, such as vanishing moments, refinement equation, etc., the computation of \(u(\xi)\) can be boiled down to the computation only involving with scaling function \(\varphi\). Numerical experiments are given showing the advantage of the proposed scheme compared to a reference scheme by a triple product using biorthogonal wavelets. The numerical experiments show that the proposed scheme is efficient, accurate, and far less storage demanding.
    0 references

    Identifiers

    0 references
    0 references
    0 references
    0 references
    0 references
    0 references