Fourier transform method for convolution equations
Builds on Convolution integral equationFourier transformLp space
Definition
Let , let , and let . Write for the Fourier transform of . The Fourier transform method for the convolution integral equation with unknown consists of the following steps.
- Apply the Fourier transform to both sides; by the convolution theorem the equation becomes for almost every .
- Solve for .
- Recover from with the inverse Fourier transform.
The function is the symbol of the equation.
Remarks
If for every , the method gives the unique solution in . Indeed is continuous and tends to at infinity by the Riemann–Lebesgue lemma, so is bounded below by a positive constant. Then lies in , and the Plancherel theorem makes every step reversible.
Example: , , . Here , the symbol is at least , and step 2 gives , so .
Non-example: for and the symbol vanishes at . Step 2 then gives a function that need not be in , so the method does not produce a solution for every .
The method needs the integral to run over the whole group . On a half-line one gets a Wiener–Hopf equation, which needs the Wiener–Hopf method instead. For equations on of Volterra type, the Laplace transform method plays the same role.
Reading path
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- Convolution integral equation concept
- Fourier transform concept
- Lp space concept
- Fourier transform method for convolution equations definition
Further reading
About this page
| Tag | 199B14MWGC |
|---|---|
| URI | m2://199B14MWGC |
| Kind | definition |
| Writing | W0 stub |
| MSC | 45E10, 42A38 |
| Defines | Fourier transform method for convolution equations |
| Uses | Convolution integral equation, Fourier transform, Lp space |
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