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Basics of tempered distributions

Open mcdoll opened this issue 3 years ago • 1 comments

This is another tracking issue for me, but if anyone is interested in helping out, then I would be very happy.

The goal is to get tempered distributions and the Fourier transform going and this needs several independent results:

  1. An efficient characterization of continuity for Fréchet spaces Strictly speaking we don't need Fréchet spaces, but only pseudometrizable locally convex spaces.
  • [x] #16550
  • [x] #16595
  1. Basic facts about Schwartz functions
  • [x] #18649
  • [x] #16756
  • [ ] Multiplication of Schwartz functions as a bilinear map
  • [ ] Convolution
  • [x] 1-d Gaussian (would be nice to have #15566 for that)
  • [ ] Compactly supported smooth functions
  1. Definition of tempered distributions
  • [x] #16053
  • [ ] Definition of tempered distributions
  • [x] #16638
  1. Fourier transform
  • [x] Definition
  • [x] #16491
  • [ ] As a continuous map on Schwartz space
  • [ ] The inverse Fourier transform
  • [ ] Relationship of derivatives and multiplication operators under FT

mcdoll avatar Sep 05 '22 07:09 mcdoll