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Sharp Sobolev threshold for a radial power
Sources
- Juha Kinnunen, Sobolev Spaces, Chapter 1 §1.2, Example 1.10, printed pp. 6–7. For and , the example differentiates off the origin, integrates by parts on the punctured ball, and bounds the inner boundary term by a constant times ; it then computes the and thresholds for . The source's weak-derivative argument requires , which is implied by its Sobolev range. It does not cover , the threshold for , or the statement. Those cases and the cutoff proof below are supplied here.
Statement
Assume the Axiom of Countable Choice. Let , , and . For an arbitrary finite , define by and for . For every finite , and Whenever , the weak derivative is the almost-everywhere class represented off the origin by ; one may set . In all dimensions , and therefore .
Facts & Assumptions
Given: The Axiom of Countable Choice, , , the unit ball , , and a test function .
The only choice principle assumed is the Axiom of Countable Choice, written : every countable family of nonempty sets has a choice function (The Axiom of Countable Choice ()).
For , the function class and each first weak-derivative class must be in ; the zero multi-index is the function itself (Integer-order Sobolev spaces and their norms). Real classes are equivalence classes of measurable representatives with finite -integral, and means essentially bounded (The space as the quotient by null functions, The function space for , The space of essentially bounded measurable functions). The weak first-derivative identity is for every test, with the complex bilinear convention and no conjugation (Weak derivative of a locally integrable function, Test function space d of an open set, maps and multi-index derivative notation in Euclidean space).
Under , polar integration for nonnegative Borel functions uses the finite Borel sphere measure and density ; by definition (Polar coordinates decompose Lebesgue measure into , The polar surface set function on the unit sphere). In particular the origin is null, and is positive once the unit ball has positive measure.
For real and , dyadic annuli give exactly when ; in that case the integral is bounded by for a finite . Indeed, on , monotonicity of real powers bounds the integral by a constant times when , and bounds it below by such terms when . Monotone convergence passes from finite unions of annuli to , and the geometric series converges exactly for a ratio in (Real powers for positive bases, with the zero-base positive-exponent convention, The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents, Continuity and derivatives of positive-base real powers, The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with , The natural logarithm as the inverse of the exponential function, Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm, The exponential is positive and satisfies , For , , and for the series diverges, Monotone convergence for the integral). Interval lengths and the integrals of their constant majorants are given by the box and nonnegative simple-integral rules (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Integral over a measurable subset, The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions, Monotonicity and nonnegative homogeneity of the nonnegative integral).
The Euclidean norm is continuous, open balls are Borel, and continuous maps have Borel preimages; Borel sets in a subspace are traces of ambient Borel sets. Thus functions continuous off a Borel point and finitely glued on Borel pieces are Borel. Under , Borel functions on are Lebesgue measurable ( as the set of functions , and , , are metrics on it, Open ball, closed ball and sphere in a metric space, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, The Borel sigma-algebra of a topological space, A continuous map has Borel preimages of Borel sets, The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra, Continuous functions on Euclidean spaces are Borel measurable, Borel measurable and Lebesgue measurable functions on , Assuming countable choice, every Borel subset of is Lebesgue measurable). Every Euclidean ball has positive finite Lebesgue measure under the same assumption (Euclidean balls have positive finite Lebesgue measure).
A smooth bump exists with , on , and compact support in (A smooth bump between concentric Euclidean balls). Its first derivatives are bounded by continuity on a compact set (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value); coordinatewise chain and product rules give the scaled-cutoff derivatives (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sums, scalar multiples, products and quotients: , , , and when ). A compactly supported smooth test and its first derivatives are bounded by the same compactness argument (Test function space d of an open set).
A function on an open Euclidean set has its classical first partials as weak derivatives under (Classical derivatives agree with weak derivatives). Weak differentiation restricts to open subsets, and weak derivatives are unique almost everywhere under (Linearity, locality, and commutation of weak derivatives, Uniqueness of a weak derivative as an almost-everywhere class).
Complex test pairings are bilinear, with no conjugation, and the complex Lebesgue integral is taken componentwise and is linear on (Complex Lp classes and Euclidean test-function conventions, The Lebesgue integral is linear on ).
Proof
For , coordinate differentiation gives and . On these functions are continuous; assigning finite values at and extending by zero off is finite Borel gluing by [F5]. Hence the representatives, their finite-power integrands, and the radial functions used with [F3] are Borel and Lebesgue measurable under [F1].
Put . By [F4], is finite exactly for and then . Applying the polar formula [F3] to and to the candidate gradient magnitude gives and . The factor is finite and positive by [F3, F5]; for the same formulas yield when and when .
The first polar identity in step 2.1 shows that exactly when , since changing affects only the null singleton [F3]. For every , choose ; then on , a set of positive measure by [F5] and [F3]. Thus is essentially unbounded and cannot lie in . By [F2], it also cannot lie in .
Suppose and . Then , so step 2.1 places and every in and gives the small-ball bounds. Fix one bump from [F6], set , and for . Then on , off , and . The product , defined as zero near the origin, is and has classical partial away from by [F6]. For each real test , [F7] gives . The left-side error from replacing by is at most ; the missing term is , and the cutoff term is at most . All tend to zero because . Thus for real tests. Split a complex test into real and imaginary parts and use [F8] to obtain the same identity for every complex test.
Conversely, suppose for finite . For each its weak derivative has an representative. On , locality and classical compatibility in [F7], followed by uniqueness in [F7], identify that representative almost everywhere with from step 1.1. The origin is null by [F3]. Pointwise, , so the gradient magnitude is in . The second polar identity in step 2.1 can be finite only if ; at or above the threshold [F4] gives divergence.
If , then , so step 3.1 gives ; step 3.2 gives all first weak derivatives in , and [F2] gives . Step 3.3 proves the converse. Since and , the condition is impossible when . In the admissible range step 3.2 identifies ; [F3] makes the chosen value at irrelevant. Together with the conclusion of step 3.1, this proves every assertion.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Integer-order Sobolev spaces and their norms
- Weak derivative of a locally integrable function
- Test function space d of an open set
- $C^k$ maps and multi-index derivative notation in Euclidean space
- The space $L^p(\mu)$ as the quotient by null functions
- The function space $\mathcal{L}^p(\mu)$ for $0 < p < \infty$
- The space $L^\infty(\mu)$ of essentially bounded measurable functions
- Complex Lp classes and Euclidean test-function conventions
- Polar coordinates decompose Lebesgue measure into $r^{n-1}\,dr\,d\sigma$
- The polar surface set function on the unit sphere
- Real powers for positive bases, with the zero-base positive-exponent convention
- The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents
- Continuity and derivatives of positive-base real powers
- The mean value theorem, as the case $g(x) = x$ of Cauchy's: for $f$ continuous on $[a,b]$ with $a < b$ and differentiable on $(a,b)$ there is $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- The natural logarithm as the inverse of the exponential function
- Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm
- The exponential is positive and satisfies $\exp(-x)=1/\exp(x)$
- For $|r| < 1$, $\sum_{k \ge 0} r^k = 1/(1-r)$, and for $|r| \ge 1$ the series diverges
- Monotone convergence for the integral
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Integral over a measurable subset
- The integral of a nonnegative simple function
- The nonnegative integral agrees with the simple integral on simple functions
- Monotonicity and nonnegative homogeneity of the nonnegative integral
- $\mathbb{R}^n$ as the set of functions $n \to \mathbb{R}$, and $d_1$, $d_2$, $d_\infty$ are metrics on it
- Open ball, closed ball and sphere in a metric space
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- The Borel sigma-algebra of a topological space
- A continuous map has Borel preimages of Borel sets
- The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra
- Continuous functions on Euclidean spaces are Borel measurable
- Borel measurable and Lebesgue measurable functions on $\mathbb{R}^n$
- Assuming countable choice, every Borel subset of $\mathbb{R}^n$ is Lebesgue measurable
- Euclidean balls have positive finite Lebesgue measure
- A smooth bump between concentric Euclidean balls
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- Classical derivatives agree with weak derivatives
- Linearity, locality, and commutation of weak derivatives
- Uniqueness of a weak derivative as an almost-everywhere class
- The Lebesgue integral is linear on $L^1(\mu)$
Used by
- Subcritical W^1,p is not closed under multiplication Counterexample
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Sources
- Juha Kinnunen, Sobolev Spaces (Aalto University, 2026) (standard reference, not scraped)