Timeline for Understanding of Fourier transform of the convolution of two distribution
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 19, 2023 at 6:49 | vote | accept | Eric | ||
| Jun 17, 2023 at 17:23 | comment | added | jd27 | @Eric i mean that the (functional) Fourier transform of a function and the distributional Fourier transform of the distribution associated to that function can be identified with each other in natural way under certain conditions. Similarly the convolution of a distribution/function with a function (seen as a function) and the distributional convolution of a distribution with the distribution associated to a function can be identified under certain circumstances. | |
| Jun 17, 2023 at 10:29 | comment | added | Eric | Thank you for this answer and this clears up my confusion, but would you mind explaining what you mean by the compatibility of the Fourier transform and the convolution? Thanks! | |
| Jun 12, 2023 at 18:31 | history | edited | jd27 | CC BY-SA 4.0 | added 101 characters in body |
| Jun 12, 2023 at 18:22 | history | edited | jd27 | CC BY-SA 4.0 | added 165 characters in body |
| Jun 12, 2023 at 18:09 | history | answered | jd27 | CC BY-SA 4.0 |