Distributions and Sobolev Spaces - Key Proof
We present a proof of the Sobolev Embedding Theorem in one dimension, illustrating the key ideas that extend to higher dimensions.
For with :
- If , then is absolutely continuous and
- If , then (HΓΆlder continuous)
Case : For , the weak derivative is in . By the fundamental theorem of calculus for Sobolev functions, for some and almost every .
For any :
Taking such that (mean value), we get
Case : For with , HΓΆlder's inequality gives:
where . Thus is HΓΆlder continuous with exponent .
For the embedding constant:
In dimensions, the proof is more involved and uses:
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Gagliardo-Nirenberg-Sobolev Inequality: For and : where
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Approximation: Extend from to by density
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Iteration: For higher order Sobolev spaces, iterate the result
Step 1: For , write
Step 2: Apply HΓΆlder's inequality with careful exponents:
Step 3: Integrate over and use HΓΆlder again to separate and terms
Step 4: Solve the resulting inequality to get
Step 5: Rearrange to obtain
Step 6: Extend to by density of
The Sobolev embedding theorem is sharp: the exponent is optimal. Functions in may not be in for , as shown by explicit counterexamples.
This theorem and its proof technique are fundamental to understanding regularity of solutions to PDEs.