Fourier transform
The Fourier transform
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of a function
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is defined as follows:
The Fourier transform exists if is Lebesgue integrable on the whole real axis.
If is Lebesgue integrable and can be divided into a finite number of continuous![]()
, monotone functions and at every point both one-sided limits exist, the Fourier transform can be inverted:
Sometimes the Fourier transform is also defined without the factor in one direction, but therefore giving the transform into the other direction a factor . So when looking a transform up in a table you should find out how it is defined in that table.
The Fourier transform has some important properties, that can be used when solving differential equations![]()
. We denote the Fourier transform of with respect to in terms of by .
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where and are constants. - •
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We define the bilateral convolution

of two functions and as:
Then the following equation holds:
If is some signal (maybe a wave) then the frequency domain of is given as . Rayleigh’s theorem states that then the energy carried by the signal given by:
can also be expressed as:
In general we have:
also known as the first Parseval theorem.
| Title | Fourier transform |
| Canonical name | FourierTransform |
| Date of creation | 2013-03-22 12:34:28 |
| Last modified on | 2013-03-22 12:34:28 |
| Owner | mathwizard (128) |
| Last modified by | mathwizard (128) |
| Numerical id | 17 |
| Author | mathwizard (128) |
| Entry type | Definition |
| Classification | msc 42A38 |
| Related topic | Wavelet |
| Related topic | ProgressiveFunction |
| Related topic | DiscreteFourierTransform |
| Related topic | FourierSeriesInComplexFormAndFourierIntegral |
| Related topic | TwoDimensionalFourierTransforms |
| Related topic | TableOfGeneralizedFourierAndMeasuredGroupoidTransforms |
| Defines | first Parseval theorem |