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A gradient-only Poincare estimate needs normalisation
Statement refuted
Assume Countable Choice (The Axiom of Countable Choice ()). Let and with , and let be a nonempty bounded connected domain with smooth boundary. The following two assertions are false:
- there is a finite constant with for every ;
- there is a finite constant with for every .
A condition excluding nonzero constants is necessary; mean subtraction, zero trace, and vanishing on a set of positive measure are standard normalisations.
Facts & Assumptions
Given: Countable Choice; ; ; the nonempty bounded connected smooth domain of the statement; and a test function .
consists of the classes whose first weak derivatives exist as classes; the weak derivative is characterized by for every test function (Integer-order Sobolev spaces and their norms, Weak derivative of a locally integrable function).
consists of almost-everywhere classes, and the constant class lies in because contains a ball and is bounded, so it has finite positive measure (The space as the quotient by null functions, Euclidean balls have positive finite Lebesgue measure, Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure).
On sigma-finite products nonnegative measurable functions may be integrated in either order (Tonelli-Fubini) (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product).
If is differentiable everywhere on a compact interval and is integrable, then (The second fundamental theorem: if is differentiable on with and is integrable, then ). Applied to a compactly supported smooth real section, or separately to both components of a complex section, its derivative integral is zero.
The Sobolev conjugate satisfies and , so the two exponents in the refuted assertions are distinct and both finite (The Sobolev conjugate exponent and the scaling identity).
Counterexample
The constant function is a Sobolev function with zero gradient. Take on . By [F2], (the class is represented by the constant function; for it is the complex constant). Fix and let ; extend by zero to . Writing for the coordinates other than and using Fubini [F3], , because for each fixed the inner function is compactly supported and smooth, so [F4] gives vanishing integral. Hence for every test function, i.e. the zero class is the weak derivative by [F1]; in particular as an element of .
Both proposed inequalities fail. Since and , the two sides of the first proposed estimate are by [F2] and ; the second has and again . No finite can satisfy or . Finally and does not vanish on any set of positive measure and satisfies no vanishing trace condition, so mean subtraction annihilates precisely this witness while trace or positive-measure zero-set normalisations exclude it; a condition excluding nonzero constants is therefore necessary.
Source notes
The refutation is the explicit constant-function witness against the un-normalised inequalities. Kinnunen's Theorem 3.47, printed pp. 90-91, states the mean-zero form; the constant witness directly shows why that normalisation matters. The computation of the weak gradient of a constant uses only Fubini and the one-dimensional fundamental theorem, so it applies to every nonempty open of finite measure, not only to a ball; the same computation proves the claim on the arbitrary finite-measure domain in the statement.
Depends on
- The Sobolev conjugate exponent and the scaling identity
- Integer-order Sobolev spaces and their norms
- The space $L^p(\mu)$ as the quotient by null functions
- Weak derivative of a locally integrable function
- The second fundamental theorem: if $G$ is differentiable on $[a,b]$ with $G' = f$ and $f$ is integrable, then $\int_a^b f = G(b)-G(a)$
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Euclidean balls have positive finite Lebesgue measure
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Lebesgue measure is sigma-finite, and every metrically bounded subset of $\mathbb{R}^n$ has finite outer measure
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Juha Kinnunen, Sobolev Spaces (standard reference, not scraped)