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The L1 transform is bounded and uniformly continuous
Statement
The map is complex-linear and . Here and means bounded uniformly continuous functions.
Facts & Assumptions
Given: , complex scalars , and real frequency vectors .
The integral transform exists at every frequency, is representative independent, and satisfies the pointwise norm bound (The integral transform is representative independent).
Dominated convergence applies to complex integrands dominated by one integrable function (Dominated convergence).
The complex exponential has the addition law (, and the complex exponential extends the real exponential).
Integration is complex-linear on (The Lebesgue integral is linear on ).
For real , and has modulus one (, , and ).
The real mean value theorem bounds an increment by a bound for the derivative times the interval length (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ), and , (The derivatives of sine and cosine are cosine and minus sine).
For real Euclidean vectors, (Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation).
Complex modulus obeys the triangle inequality (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Proof
Reconstruct first the integral interface used here. Augment any finite disjoint display of a nonnegative simple function by the complement with coefficient . Intersections of two augmented displays partition the whole space and have equal coefficients on nonempty cells, so finite additivity and prove representation independence. Common refinements give simple addition and monotonicity; scalar zero is direct and positive scalars are termwise. Supremum over simple minorants and the sets , , give monotone convergence; increasing simple approximations give nonnegative additivity, and positive/negative plus real/imaginary decompositions give finite complex linearity. Thus the integrable functions and have linear combination , and integrating gives . The pointwise estimate in F1, with a right side independent of frequency, gives boundedness and the asserted supremum bound.
The preceding MCT also gives Fatou by applying it to . If almost everywhere and , Fatou applied to gives ; hence convergence, and the local finite linearity gives convergence of integrals. This proves the exact dominated-convergence clause used below without [F2]'s affected foundation. Factoring the exponentials yields . F1 therefore gives the bound , where . For real , F5--F6 and F8 give , , and hence ; F5 also bounds this modulus by two. Applying the locally proved dominated convergence to the explicit integer-ball tails, dominated by , choose an integer with . On , F7 gives , so the single choice makes whenever . The inside integral is below and the outside integral below , so . Consequently, for every there is such that implies the difference is below for every . This is uniform continuity.
Depends on
- The integral transform is representative independent
- Dominated convergence
- $\exp(z+w)=\exp z\,\exp w$, and the complex exponential extends the real exponential
- The Lebesgue integral is linear on $L^1(\mu)$
- $\exp(x+iy)=e^x(\cos y+i\sin y)$, $|\exp(x+iy)|=e^x$, and $e^{i\pi}+1=0$
- 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 $f(b) - f(a) = f'(c)(b-a)$
- The derivatives of sine and cosine are cosine and minus sine
- Cauchy-Schwarz $\lvert\langle x,y\rangle\rvert \le \lVert x\rVert_2\lVert y\rVert_2$ with its equality case, the triangle inequality for $\lVert\cdot\rVert_2$, the parallelogram law and polarisation
- Conjugation is an involutive real-field automorphism, $z\overline z=|z|^2$, and modulus is definite, multiplicative, and subadditive
Used by
- Fourier multipliers of approximate identities Corollary
- Uniqueness of the L1 Fourier transform Corollary
- There is no universal Riemann–Lebesgue decay rate Counterexample
- Transform of an interval indicator Example
- Hausdorff–Young and interpolation orientation Remark
- The interpolation input belongs to measure theory Remark
- Agreement of the integral and L2 transforms Theorem
- Fourier transform acts continuously on Schwartz space Theorem
- Fourier transform of a product with one integrable transform Theorem
- Gaussian Fourier summability at Lebesgue points Theorem
- L1 Fourier inversion with an integrable transform Theorem
- Riemann–Lebesgue lemma Theorem
Dependency tree · two levels
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Sources
- Semyon Dyatlov, MIT 18.155 (2022) (standard reference, not scraped)