Choose a nonnegative mollifier with , and put . Sobolev approximation by mollifiers in the Sobolev space under consideration states
In particular, it gives density of smooth functions in a Sobolev space. We prove convergence of both the function and all its first weak derivatives.
The usual smoothing properties of convolution give . For a test function and , Fubini's theorem and the definition of a weak derivative give
The integrals are absolutely convergent: the compact supports of and restrict to a compact set, on which and are integrable by Holder inequality. Consequently
The approximate identity theorem in the Lp space applies separately to and . Thus
Each convolution belongs to by Young's convolution inequality. With the componentwise Sobolev norm, the sixth power of the required difference is the sum of these four sixth powers, proving the boxed claim. Any equivalent Sobolev norm gives the same convergence.
Here Morrey's inequality has Hölder exponent . Every has a unique continuous representative such that
We use the Hölder norm , where the Hölder seminorm is . The second bound is the homogeneous form of Morrey's inequality; the first includes control of the values themselves.
Let be the mollifications from (i). They converge to in the Sobolev norm. Apply the assumed smooth version of Morrey's inequality to the differences :
Thus is a Cauchy sequence in the complete Hölder space and converges there to a function . In particular the convergence is uniform. On every bounded set of finite volume,
Exhausting by balls proves almost everywhere. Set . Taking limits in the smooth Hölder norm bound gives the first boxed estimate. For any fixed , taking limits in
gives the second boxed estimate after taking the supremum. Finally, two continuous representatives equal almost everywhere must coincide everywhere, since a nonzero continuous difference would remain nonzero on an open ball of positive volume.
On the unbounded domain , translations already prevent compactness in every indicated Hölder space. Choose a bump function with , put , and define
A change of variables in the Lebesgue integrals defining the Sobolev norm gives , so the sequence is bounded. Each is a smooth function of compact support and belongs to every Hölder space , : its bounded gradient gives the Lipschitz estimate for distances at most one, and its bounded values control larger distances.
For , the supports are disjoint, and at we have and . Therefore
No subsequence can be a Cauchy sequence in any of these Hölder norms, hence none converges. This uses the translation mechanism for noncompactness of a Sobolev embedding by translation; concentration at the critical Hölder exponent alone would not rule out convergence at every smaller Hölder exponent.
Write , , and let be the radial profile of the radial derivative , which may be assumed to be a radial function here. The spherical coordinate system gives
Since , both and belong to the Lp space . It remains to identify the weak derivative of the radial profile directly.
For , each component of is a test function on . Sum the three defining weak derivative identities, using the stated divergence formula:
Given an arbitrary test function , choose . Dividing by gives , exactly the definition of the weak derivative. We have proved
This radial Sobolev profile on an annulus estimate follows from the two weighted integrals above and equivalence of the usual Sobolev norms.
Use the continuous representative of furnished by the one-dimensional Sobolev embedding theorem, and define on . The one-dimensional Sobolev representative is absolutely continuous; Holder inequality applied to its fundamental theorem of calculus gives
Also : select a point where is no larger than its norm on the unit-length interval and apply the same fundamental theorem of calculus. Thus the one-dimensional Hölder norm is controlled by .
The two Hölder seminorms must be compared using the correct distances. By the reverse triangle inequality,
Conversely, take and for any fixed unit vector . Then , so taking suprema yields equality of the two Hölder seminorms. Their supremum norms are equal as well. Part (i) now gives
The representative agrees with almost everywhere, and the assignment is linear and injective on the radial Sobolev space. This proves the requested continuous embedding. The inner radius being positive makes the radial profile Sobolev norm comparable to its weighted radial version.

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