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Stein-Tomas for compact hypersurfaces with nonzero curvature
Statement
Assume Countable Choice. Let () be a compact embedded hypersurface with everywhere nonvanishing extrinsic Gaussian curvature and surface measure . Set and . Then there is , depending on , such that for all ; extends uniquely to a bounded linear for every ; and is bounded for every .
Facts & Assumptions
Given: Countable Choice, , a compact embedded hypersurface with everywhere nonvanishing extrinsic Gaussian curvature and surface measure , the exponents , and the operators .
Every smooth embedded Euclidean hypersurface admits smooth graph charts after rigid motions. Compact sets admit finite graph localization, with smooth compactly supported nonnegative weights summing to one. (Smooth Euclidean hypersurface graphs and compact localization)
Euclidean shape operators and extrinsic Gaussian curvature have their usual meanings; local normal reversal preserves curvature nonvanishing. On a graph the curvature determinant equals the Hessian determinant divided by the positive graph factor. (Euclidean hypersurface normals, shape operators and curvature, Smooth Euclidean hypersurface graphs and compact localization, Shape operator and Gauss-Kronecker curvature of a graph)
Finite cover and partition: the compact hypersurface is covered by finitely many relatively open graph pieces of [F1] with subordinate nonnegative smooth functions , , each compactly supported in its piece; the localized measures are graph-patch localizations of the form treated by the patch decay and slice estimates. (Compact curved hypersurfaces admit a finite curved graph cover, Decay of a localized measure on a curved graph patch, Chart and partition independence of surface measure)
Endpoint patch bound: for every such localization one has for all Schwartz , with depending on the patch data. (Stein-Tomas TT-star bound from fractional integration)
Duality, extension and interpolation: for , restriction at is equivalent to extension at with the same constant and adjoint identification; bounded maps on dense subspaces have unique bounded extensions; and a map bounded and with constants and satisfies for with . (Restriction and extension estimates are dual, A bounded linear map from a dense normed subspace into a Banach space extends uniquely with the same norm, Interpolate L1 to Linfinity and L2 to L2 bounds, Riesz–Thorin estimate on the finite simple core, Conjugate exponents, including the endpoint conventions, Complex Lp classes and Euclidean test-function conventions)
Euclidean smooth density, complex completeness and bounded extension apply at . Rigid coordinate changes preserve the required norms, and translations of surface patches give modulation of the data. ( is dense in for , Complex Lp completeness and almost-everywhere subsequences, Translation, modulation, linear dilation and reflection laws, A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not)
Proof
Finite graph cover. The local reduction of [F1] and the nondegeneracy of the curvature via [F2] produce, at every point, a curved graph chart; the argument of the finite-graph-cover lemma (compactness plus local construction) selects finitely many such charts covering . The compact localization construction of [F1] uses the local graph normals; their sign-independent nonvanishing curvature in [F2] supplies the curved charts without needing a global normal field. Write the resulting pieces as with graphing functions satisfying and localizations as in [F3].
Endpoint convolution bound. Each patch may be rotated to graph coordinates; its translation contributes a modulation of the data. These operations preserve all relevant norms, so [F4] applies in the original coordinates. Since and , the patch estimates [F4] and the triangle inequality give for every Schwartz .
The restriction bound. By the identity [F5] and step 2.1, , hence for every .
The range and the extension. By [F6] the restriction bound of step 3.1 gives a unique bounded extension and the dual extension estimate ; moreover , so is bounded. For finite , integrating gives for every , and dualizing as in [F6] extends uniquely to a bounded for every . At , directly, and smooth density with completeness gives the unique extension. Hölder extends the integral adjoint pairing to as well. Thus the full asserted range holds.
Conclusion. Steps 1.1–2.1 sum the endpoint patch estimates into a convolution bound for the full compact hypersurface, step 3.1 converts it into the endpoint restriction estimate, and step 4.1 gives the full range and the adjoint formulation. The constant depends on through the finitely many patch constants, the geometry of the cover, and .
Depends on
- Fourier restriction and adjoint extension operators
- Restriction and extension estimates are dual
- Decay of a localized measure on a curved graph patch
- TT-star reduces extension to convolution with the surface-measure transform
- Stein-Tomas TT-star bound from fractional integration
- Compact curved hypersurfaces admit a finite curved graph cover
- Riesz–Thorin estimate on the finite simple core
- A bounded linear map from a dense normed subspace into a Banach space extends uniquely with the same norm
- $C_c^\infty(\mathbb{R}^n)$ is dense in $L^p(\mathbb{R}^n)$ for $1 \le p < \infty$
- Complex Lp completeness and almost-everywhere subsequences
- Translation, modulation, linear dilation and reflection laws
- A linear map $T$ of $\mathbb{R}^n$ sends Lebesgue measurable sets to Lebesgue measurable sets, with $\lambda_n(T[E])=|\det T|\,\lambda_n(E)$ when $T$ is invertible and $T[E]$ Lebesgue null when it is not
- Surface integration on compact C1 hypersurfaces
- Chart and partition independence of surface measure
- Conjugate exponents, including the endpoint conventions
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Shape operator and Gauss-Kronecker curvature of a graph
- Interpolate L1 to Linfinity and L2 to L2 bounds
- Complex Lp classes and Euclidean test-function conventions
- Euclidean hypersurface normals, shape operators and curvature
- Smooth Euclidean hypersurface graphs and compact localization
Used by
Dependency tree · two levels
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Sources
- Mark Williams, Notes on harmonic analysis (standard reference, not scraped)