Computing discrete convolutions with verified accuracy via Banach algebras and the FFT. (Q1785642)
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scientific article; zbMATH DE number 6945730
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Computing discrete convolutions with verified accuracy via Banach algebras and the FFT. |
scientific article; zbMATH DE number 6945730 |
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Computing discrete convolutions with verified accuracy via Banach algebras and the FFT. (English)
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1 October 2018
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Let \(u_j\), \(j=1,\ldots,p\) be given \((2\pi/L)\)-periodic trigonometric polynomials of order \(M-1\) with corresponding sequences of Fourier coefficients \(a^{(j)}\in\mathbb{C}^{2M-1}\). Then the Fourier coefficients of the product \(u_1\,u_2\,\ldots\,u_p\) can be computed by discrete convolutions \(a^{(1)}\ast a^{(2)}\ast\,\ldots\,\ast a^{(p)}\). Using fast Fourier transforms, properties of Banach sequence spaces, and interval arithmetic, the author determines rigorous enclosures of these discrete convolutions. The method is applied to the numerical solution of the nonlinear Swift-Hohenberg partial differential equation \[u_t=(\lambda -1)\,u-2u_{xx}-u_{xxxx}+\mu u^3-u^5\] with periodic boundary conditions.
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trigonometric polynomials
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Fourier coefficients
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discrete convolution
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fast Fourier transform
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Banach sequence space
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interval arithmetic
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nonlinear Swift-Hohenberg partial differential equation
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