| 1. | Solutions to the Fourier equation can be provided by Fourier series.
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| 2. | Which is essentially a Fourier series in \ theta \,.
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| 3. | This superposition or linear combination is called the Fourier series.
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| 4. | Here we presume an understanding of basic multivariate calculus and Fourier series.
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| 5. | Such a function can be expanded in a Fourier series as
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| 6. | This particular Fourier series is troublesome because of its poor convergence properties.
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| 7. | Then the transform is the same Fourier series with different frequency normalization.
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| 8. | I was reading about Fourier series and have a doubt concerning it.
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| 9. | To visualize them, the Andrews plot defines a finite Fourier series:
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| 10. | This result also follows easily using Fourier series and the Poisson integral.
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