For the forward implication, finite order of a distribution makes entire. Use a smooth cutoff in an -neighborhood of the support set, with derivatives of order bounded by . Taking in the finite-order estimate gives the polynomial factor and adds at most to the desired exponential bound. This shrinking cutoff recovers the exact support indicator, instead of an arbitrarily enlarged one.
For the converse, the real restriction of has polynomial growth and defines an inverse tempered distribution. If a test function is supported in for a unit vector and , contour shifting gives
Repeated integration by parts gives, for every integer ,
Choosing justifies the shift by Cauchy integral theorem and bounds the pairing by , which tends to zero. Half-spaces of this form cover the complement of the ball, and a partition of unity proves the support inclusion. For general compact convex , replace by in each separating direction. Fourier inversion gives uniqueness. A related proof outline appears in Richard Melrose's distribution-theory problem set.

Articles by others on the same topic (0)

There are currently no matching articles.