Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 327 2 i Solution Created 2026-10-03 Updated 2026-10-06
For multi-indices , defineThese seminorms define the Fréchet space topology of the Schwartz space: exactly when every tends to zero. An equivalent increasing family isA tempered distribution is a continuous linear functional on this space. Equivalently, for some . The usual weak convergence of tempered distributions means for every fixed Schwartz function. The strong dual topology instead requires uniform convergence on every subset of the Schwartz space that is a bounded set in a topological vector space; the Fourier maps below are continuous in both topologies.
Using , differentiation under the integral and integration by parts giveThe omitted coefficient has modulus one. By the Leibniz rule, every integrand is a finite sum of a polynomial times a derivative of . Inserting the integrable weight bounds its L1 norm by finitely many Schwartz space seminorms. In particular . Thus the Fourier transform maps continuously into itself.
For completeness, the Fourier inversion theorem follows here by Gaussian regularization. The inverse transform of is . The Fourier transform of a Gaussian and Fubini's theorem showAs , the right side tends to by the approximate identity property, while the left side tends to the undamped inverse integral by dominated convergence theorem, since . HenceThe inverse is times reflection composed with the continuous Fourier transform, and is therefore continuous on the Schwartz space. This proves a continuous linear isomorphism with continuous inverse.
Define the Fourier transform of a tempered distribution byThe continuous map on Schwartz space makes this a tempered distribution; the transpose of supplies its inverse. Pointwise convergence of pairings proves weak continuity. For the strong dual topology, the transform of a bounded set of Schwartz functions is bounded, so uniform convergence of pairings on bounded sets proves continuity of both Fourier maps there too.
Now let be a rotation matrix in the special orthogonal group and write . A change of variables with unit Jacobian givesThe rotation equivariance of the Fourier transform on tempered distributions follows by duality:Therefore . Applying this identity and the inverse Fourier transform gives the two directions:This is precisely preservation of radial tempered distributions. For , acts transitively on spheres, so an invariant smooth function is an ordinary radial function.