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Sharp weighted absorption of modulated CGO remainders
Statement
Assume Countable Choice. Write and use unitary Fourier transformation on . There is an absolute constant such that for every and , Consequently, if , and is any family with for , its modulated bilinear distributional remainders satisfy whenever the scalar family is measurable. No continuity or derivative bound in is required.
Statement references
Facts & Assumptions
Given: Countable Choice and the whole-space Sobolev norms, radius, potential difference, remainder bounds in the Statement.
Countable Choice is assumed for the Fourier isometry in [F1]. The Axiom of Countable Choice ()
Under [A1], the unitary Fourier transform is an isometry on and defines the Fourier Sobolev norms by . Plancherel theorem
Tonelli's theorem permits interchanging the nonnegative measurable Fourier integrals on the sigma-finite Lebesgue product used below. Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
The positive-Sobolev CGO construction supplies remainders with norm and uniformly bounded norm for the phases used in the application. Positive-Sobolev CGO remainders from a shifted Fourier lattice
A Sobolev class supported in a compact subset of an open set extends by zero with its weak derivatives unchanged. Compactly supported Sobolev functions extend by zero in every integer order
Proof
Define . For , throughout the integration ball, so . Polar integration gives for . Hence in this region.
If , Cauchy–Schwarz gives . The first integral is at most by polar integration. In the second, the substitution places its domain inside , so it is also at most . Thus . Since , this is at most . Together with step 1.1 this proves for every .
Fourier translation gives . This identity holds for Sobolev distributions as well as smooth functions, because the Fourier transform is represented by a locally square integrable function with the indicated weight, and translation preserves weighted square integrability for every fixed . Tonelli [F2] and step 2.1 now give .
For the bilinear duality pairing, weighted Fourier Cauchy–Schwarz gives . The absence of complex conjugation changes the second Fourier factor to its reflection and does not change its Sobolev norm. Squaring, integrating with weight , using the bound , and applying step 3.1 prove the remainder estimate.
Application to the conductivity remainder
For , set . Translation, Plancherel and Tonelli [F1]–[F2] give
where rotation and dilation give the inner integral, and follows from . The identity holds with values in , since Plancherel applies to each translate difference and Tonelli to its nonnegative squared integrand. Thus exactly when , and this quantity is equivalent to . Cutoff remainders are whole-space functions by [F4], so this identity applies directly to them. The identity therefore yields
for bounded cutoff remainders. For the exact CGO identity, take , with a fixed smooth cutoff equal to one on the support of . For phases with , [F3] gives and uniformly bounded norms. Insert another cutoff equal to one on the support of to apply the product estimate to . Consequently , uniformly in . One may combine this bound with the separate exact boundary identity, high frequency cutoff and Liouville recovery suppliers. No measurable phase selection is necessary for that application: bound the remainder pointwise by , which is measurable by step 3.1, before integrating the resulting scalar Fourier inequality.
Source-reading note
The source text at printed pages 172–179, including the full proofs of Theorems 6.8–6.11, and the norm convention (5.8b) and Theorem 5.8 were read. The source norm is an unmodulated localized Sobolev norm. The printed passage on page 176 bounds an absolute volume integral by negative-Sobolev duality and omits the actual Fourier modulation. The proof above uses neither that passage nor its pointwise conclusion: it keeps the modulation, moves it to , and uses the integrated kernel estimate in steps 1.1–3.1. No independent proof review or native workflow acceptance is asserted.
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Sources
- Frederic Weidling, Variational Source Conditions and Conditional Stability Estimates for Inverse Problems in PDEs (standard reference, not scraped)