The scaling property of the Fourier transform extends by duality to
Consequently a homogeneous distribution of degree transforms into one of degree .
Write for the squared integral norm in question. The scaling property of the Fourier transform gives , which vanishes outside . Also . The condition does not imply , because need not be nonnegative.
Part (b), now for observations of , gives . Apply the Tonelli theorem to this nonnegative integrand, use the bound on , and change variables :
The characteristic function is continuous and nonzero on the compact interval of integration, so for every . The Markov inequality gives, for every ,
Consequently , including for any deterministic bandwidth sequence . The stochastic order follows directly from this uniform probability bound. Independence of and gives , explaining why division by is the Fourier deconvolution operation.
The scaling property of the Fourier transform gives, first for Schwartz functions and then by duality,
If the homogeneous distribution has degree , then
Putting yields . Thus the Fourier transform of a homogeneous distribution has degree .
Choose a nonzero whose transform belongs to , for example a Gaussian by the Fourier transform of a Gaussian. For , set . The scaling property of the Fourier transform gives
The assumed estimate, applied for every , becomes
Since both norms are nonzero, this can hold as tends both to zero and to infinity only if the powers agree. Thus the scaling necessity for an Lp to Lq Fourier bound yields
Hence is uniquely the conjugate exponent of .