Use the Fourier transform convention throughout this question. The decay assumption implies square integrability, since polar coordinates give
Near zero the integrand is bounded by , and at infinity it is bounded by . The positive is what makes the latter integrable.
By the Plancherel theorem, there is a function whose Fourier transform is . It is the density of with respect to Lebesgue measure. To justify this step rather than assume a density, for every Schwartz function , Fourier inversion gives
The finite measure and the locally integrable function thus define the same tempered distribution, so they agree as measures: . In particular almost everywhere and . This is the L2 density from a square-integrable Fourier transform principle.
For , the density of is . The inequality holds wherever , apart from a Lebesgue measure zero set, so
A second application of the Plancherel theorem yields the explicit bound
The implicit constant in the requested estimate may depend on the measure and its Fourier-decay bound, but is independent of .
Parametrize the unit circle by , with and . Extract the constant phase at :
On the support, . The frequency rectangle and the elementary bounds , imply
Choose the fixed constant large enough that this is less than . Every phase then has real part at least . Nonnegativity of prevents cancellation after this phase rotation, while its central plateau gives . Hence the Fourier transform satisfies
This is the circle cap Fourier lower bound. No upper bound on the values of is needed here; the support, plateau and nonnegativity suffice. The long radial scale comes from the quadratic term , whereas the transverse scale comes from the linear term .
Write for the rectangles, for their centers and for their long-axis directions. For the finite exponent in the displayed estimate, take smooth rotated cap functions , with , equal to one on angular distance at most from and supported within . Choose sufficiently large once and for all. The direction separation makes these cap supports disjoint, and .
Define
The Fourier modulation and translation identity gives the second equality. Rotating the circle cap Fourier lower bound then gives on . The half-side lengths of are no larger than the two frequency bounds used in part (b).
Let be independent Rademacher random variables. Because the input cap supports are disjoint, for every choice of signs
where . Apply the assumed Fourier extension estimate to the sum. Average over signs and use the Khintchine inequality pointwise, followed by the Tonelli theorem:
There is no requirement that the spatial rectangles be disjoint; disjointness is used only for the input caps on the unit circle. Their spatial overlaps are precisely what the square function measures. The cap lower bounds now imply
Since each rectangle has area , the restriction-to-rectangle overlap principle gives
The constants are independent of , the centers and the collection. The finite- interpretation is the one for which the printed power integral is defined. A single cap also shows that the assumed diagonal Fourier extension estimate can hold only for : its output contributes at least to the th-power norm, whereas its input contributes at most a constant times .

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