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The Hilbert transform is the tempered convolution with pv(1/(pi x)) and has signum Fourier multiplier
Statement
Assume Countable Choice and use the Fourier convention of Fourier transform of a tempered distribution. Define the tempered distribution by its pairing with a Schwartz test function, equal to
Then, for every Schwartz function :
- the principal value of Truncated Hilbert transform and principal value exists at every , and equals for the tempered convolution of Convolution of a tempered distribution with a schwartz function;
- hence is a tempered distribution, and , where and is the Schwartz transform of .
The principal value is taken symmetrically about the singularity, and the statement is made for Schwartz functions only; no mapping property and no almost-everywhere statement for general is asserted.
Facts & Assumptions
Given: Countable Choice, the Schwartz space and its seminorms , and the Fourier convention .
The truncated Hilbert transform is , and the principal-value transform is its symmetric limit wherever it exists; the definition asserts no almost-everywhere existence by itself. Truncated Hilbert transform and principal value
The sine integral satisfies , its partial integrals obey for all and for , and in absolute value for . The sine integral under Countable Choice: uniform bounds and the value pi/2
The Fourier transform of a tempered distribution is defined by ; the pairing is bilinear with no conjugation. Fourier transform of a tempered distribution
For and Schwartz one has , the product being the product of a tempered distribution with a smooth polynomially bounded function. Fourier transform converts allowed tempered convolutions to products
The tempered convolution is defined by , a scalar function of . Convolution of a tempered distribution with a schwartz function
A tempered distribution is a continuous complex-linear functional on Schwartz space. Tempered distribution
Schwartz seminorms are finite for . Schwartz space and its seminorms
If then for every , with norm bounded by a finite sum of Schwartz seminorms. Schwartz derivatives are integrable
The Fourier transform is a topological automorphism of Schwartz space, so for . Fourier transform is a topological automorphism of Schwartz space
Mean value theorem: for differentiable , on . The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with
Fubini for L^1 functions on a sigma-finite product. Fubini's theorem for L^1 functions on a sigma-finite product
Dominated convergence. Dominated convergence
Substitution for improper integrals, with orientation retained for decreasing parametrizations. Change of variable in an improper integral
Proof
For both integrals in the definition of converge absolutely: on the bound is integrable, and on the bound from [F10] is integrable on a set of length two. Hence and is a tempered distribution by [F6]. Moreover by oddness of , so for the truncated pairing equals the defining two-piece pairing with the local piece integrated over ; consequently .
Fix and . By [F11] applied on the product of the finite-measure annulus with , using the integrable majorant from [F8], with . Writing the exponential in cosine and sine, the cosine term is odd and integrates to zero, while [F13] with gives for the partial sine integral of [F2]; in particular .
Fix and . For , [F1] gives ; since , this equals . The tail is absolutely convergent by [F8], and the first integral converges as by [F12], the integrand tending pointwise to and being dominated on by thanks to [F10]. The resulting limit is exactly by the defining formula of in 1.1 and the convolution definition [F5]. Hence exists at every and equals .
By 1.1 and [F3], . Holding fixed, [F2] gives as , with . Thus [F12] against yields as . Then for by [F2] makes pointwise as , and a second application of [F12] gives . Combining the two limits with the pairing identity gives for every , that is, as tempered distributions.
By 3.1 and [F4] applied to the tempered distribution and the Schwartz function , , the product being that of the distribution with the Schwartz function supplied by [F9] and [F3]. By 2.2 the same is the pointwise principal-value transform of ; thus the principal value defines the tempered convolution with and has the signum Fourier multiplier, as claimed.
Depends on
- Truncated Hilbert transform and principal value
- The sine integral under Countable Choice: uniform bounds and the value pi/2
- Fourier transform of a tempered distribution
- Fourier transform converts allowed tempered convolutions to products
- Convolution of a tempered distribution with a schwartz function
- Tempered distribution
- Schwartz space and its seminorms
- Schwartz derivatives are integrable
- Fourier transform is a topological automorphism of Schwartz space
- The mean value theorem, as the case $g(x) = x$ of Cauchy's: for $f$ continuous on $[a,b]$ with $a < b$ and differentiable on $(a,b)$ there is $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- Fubini's theorem for L^1 functions on a sigma-finite product
- Dominated convergence
- Change of variable in an improper integral
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
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Sources
- Loukas Grafakos, Classical Fourier Analysis, third edition (standard reference, not scraped)
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (standard reference, not scraped)