How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Euclidean balls have positive finite Lebesgue measure
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let , let , and let . Then the Euclidean ball is Lebesgue measurable and satisfies
Facts & Assumptions
Given: The Axiom of Countable Choice, an integer , a point , and a real radius .
The Euclidean ball is . (Open ball, closed ball and sphere in a metric space, as the set of functions , and , , are metrics on it)
Every box between its open and closed forms is Lebesgue measurable with its usual volume. (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Open balls in any metric space are open; the Euclidean distance is a metric on for . (Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed, clause 1; as the set of functions , and , , are metrics on it)
Under Countable Choice, every Borel subset of , in particular every open subset, is Lebesgue measurable. (Assuming countable choice, every Borel subset of is Lebesgue measurable)
Under Countable Choice, is a measure on the Lebesgue sigma-algebra, and measures are monotone on measurable inclusions. (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume, clause 1; Measures are monotone)
Proof
If , then [L1, algebra] so the open cube is contained in . On the other hand, implies for every coordinate, so .
The ball is open in the Euclidean metric by [L3], hence Borel and Lebesgue measurable by [L4] under the stated Countable Choice. The two cubes from step 1.1 are measurable by [L2], with measures [step 1.1, L2, L3, L4, algebra] Since lies between them, monotonicity [L5] gives
Therefore is Lebesgue measurable of positive finite measure.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Open ball, closed ball and sphere in a metric space
- $\mathbb{R}^n$ as the set of functions $n \to \mathbb{R}$, and $d_1$, $d_2$, $d_\infty$ are metrics on it
- Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed
- Assuming countable choice, every Borel subset of $\mathbb{R}^n$ is Lebesgue measurable
- 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
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
- Measures are monotone
Used by
- Bounded mesh ratio gives an h⁻²ˢ exact condition-number bound Corollary
- Poincare-Wirtinger on bounded convex domains by the direct pairwise argument Corollary
- The obstacle reaction is supported on the contact set under measure regularity Corollary
- Uniqueness of classical Dirichlet and compatible Neumann solutions Corollary
- A gradient-only Poincare estimate needs normalisation Counterexample
- Neumann Poisson data require a flux compatibility equation Counterexample
- Poincare-Wirtinger fails on disconnected bounded domains Counterexample
- Strong fractional integration fails at p equal to one Counterexample
- The complementarity product needs extra regularity Counterexample
- The critical Riesz potential can diverge and be essentially unbounded Counterexample
- The critical Sobolev embedding is not compact Counterexample
- The fundamental Hessian is not absolutely locally integrable Counterexample
- The Neumann Poisson problem is not coercive on all of H¹ Counterexample
- A family shrinking nicely to a point Definition
- Density of a measurable set at a point Definition
- Fundamental solution for the positive operator minus Laplacian Definition
- The average of a locally integrable function over a Euclidean ball Definition
- The real Hardy space Hᵖ defined by a radial maximal function Definition
- A Dirac mass has precisely sufficiently negative Sobolev order Example
- Adding an entire harmonic function preserves a Laplace fundamental solution Example
- Dilation determines the Riesz-potential target exponent Example
- Flux normalization on every centered sphere Example
- Heat and Poisson semigroups as Fourier multipliers Example
- Hilbert transform of the line Poisson kernel Example
- Newton shell theorem from harmonic mean values Example
- Piecewise-affine approximation of a measurable coefficient Example
- Sharp Sobolev threshold for a radial power Example
- The heat smoothing time exponent is forced by scaling Example
- The Neumann kernel is spanned by the componentwise constants Example
- A conforming averaging companion for Crouzeix–Raviart functions Lemma
- Ball and cube maximal functions are pointwise comparable Lemma
- Bounded-overlap ball chains in a bounded John domain Lemma
- Cotlar's inequality for maximal truncations Lemma
- Critical images of Euclidean Lipschitz maps are null Lemma
- Dyadic annulus far-field estimates for the maximal function Lemma
- Korn coercivity with a partial Dirichlet segment Lemma
- Lebesgue-point convergence for radial-majorized kernels Lemma
- Level decomposition of an Hᵖ distribution produces atoms Lemma
- Local integrability of the Laplace fundamental kernel Lemma
- Local weak scalar potentials and continuation on a simply connected open set Lemma
…and 29 more results.
Dependency tree · two levels
57 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Gerald B. Folland, Real Analysis: Modern Techniques and Their Applications, 2nd ed., Lemma 3.16 (standard reference, not scraped)