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                        Basics of tempered distributions
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:
- 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
- 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
- Definition of tempered distributions
- [x] #16053
- [ ] Definition of tempered distributions
- [x] #16638
- 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