Abstract
We discussed the convolution of functions in Lesson 20. There we saw that it is not always possible to take the convolution of two functions; it is the same for distributions. We will study the convolution of distributions and its basic properties for the more important cases.
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© 1999 Springer Science+Business Media New York
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Gasquet, C., Witomski, P. (1999). Convolution of Distributions. In: Fourier Analysis and Applications. Texts in Applied Mathematics, vol 30. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1598-1_32
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DOI: https://doi.org/10.1007/978-1-4612-1598-1_32
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7211-3
Online ISBN: 978-1-4612-1598-1
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