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Rademacher randomisation turns dyadic square functions into random signed multipliers
Statement
Assume Countable Choice (The Axiom of Countable Choice ()). For every there are constants depending only on with the following property. For every finite set , every and every , Moreover, for every fixed the finite sum equals the Fourier multiplier with symbol ; integrating the pointwise inequality in and using Tonelli gives, for every , The same statements hold with replaced by the companion operators .
Facts & Assumptions
Given: , a finite set , a Schwartz function and a point ; the fixed partition , operators and kernels of The inhomogeneous dyadic frequency partition and its Littlewood-Paley operators; the square function of The Littlewood-Paley square function.
Khintchine's inequality: for every finite sequence of complex numbers and every there are , depending only on , with , and the constants are independent of (Khintchine's inequality for finite Rademacher sums, Rademacher functions on the unit interval).
For the operators act as , and is linear in the symbol: for smooth compactly supported symbols one has on . The finite sum lies in ; if , writing , its support is contained in , while for it is the zero symbol with empty support (The inhomogeneous dyadic frequency partition and its Littlewood-Paley operators). For , is a Schwartz function and the multiplier action is convolution by the corresponding kernel.
is measurable on : it is a finite sum of products of Borel functions of with continuous functions of (Arithmetic and lattice operations preserve measurability whenever they are defined); hence of it is nonnegative and product-measurable, and Tonelli's theorem applies, in particular (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
Proof
Pointwise Khintchine. At the fixed point apply [F1] to the finite coefficient vector , (legitimate because the coefficients are complex numbers); this gives exactly the displayed pointwise two-sided inequality, with constants depending only on and not on , or .
The random sum is a multiplier. Fix . By [F2] each is in and the multiplier map is linear in its symbol, so with ; in particular and .
The integrated inequality. By [F3] the function is nonnegative and product-measurable, and is measurable by The Littlewood-Paley square function; the pointwise inequality of step 1.1 passes to the -integral, so . Since the inner expression equals by step 1.2, Tonelli [F3] rewrites the middle term as ; the quantities are finite because a finite sign vector takes only finitely many values, each corresponding random sum is Schwartz, and a finite sum of Schwartz moduli lies in for every by choosing decay exponent with .
Companions. Replacing by , by and by throughout, steps 1.1 to 2.1 apply verbatim with replaced by , because the companion symbols are again compactly supported smooth functions and the Khintchine inequality is insensitive to the coefficients.
Depends on
- Khintchine's inequality for finite Rademacher sums
- The inhomogeneous dyadic frequency partition and its Littlewood-Paley operators
- The Littlewood-Paley square function
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Arithmetic and lattice operations preserve measurability whenever they are defined
- Rademacher functions on the unit interval
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
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Sources
- Terence Tao, Math 247A Lecture Notes 4 (UCLA, Fall 2006) (standard reference, not scraped)
- Mark Williams, Notes on Harmonic Analysis (January 11, 2022) (standard reference, not scraped)
- Loukas Grafakos, Classical Fourier Analysis, 3rd ed. (Springer GTM 249) (standard reference, not scraped)