Explicit computation of convolutions
[9/67%]Compute the convolution of the characteristic functions .
Compute the convolution , where
Prove that the convolution , where is the "bump" from problem 15.1, is a function of the "hat" type from problem 15.2.
Find the Weierstrass transform
Let:
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Compute the integral, which is of significant importance in probability theory,
Let and be locally integrable functions on whose supports are bounded to the left. Then the convolution can be defined, and it has the same property. Compute explicitly the convolutions:
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Compute the Fourier transform of the characteristic function of an interval. For , let be the characteristic function of , let be the characteristic function of , and compute explicitly. (The graph is piecewise linear). Show that is the Fourier transform of a function ; except for a multiplicative constant,
Show that and conclude that the mapping maps into a proper subset of . Show, however, that the range of this mapping is dense in .
The following parts give some concrete examples of convolutions courtesy of Jones, pages 278-279.
Let . Let and . Then for each
Let and denote distinct real numbers. Let and for each . Then
If in (b) we have , then for each .
If , , and [for all ], then
Let and let be independent of . Convolve the density of with that of to show that is Gaussian, .
Let be IID normalized Gaussian rv s. Show that is Gaussian, .
Combine (b) with induction to show that all linear combinations of IID normalized Gaussian rv s are Gaussian.