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.
A distribution with zero derivatives on a connected open set is constant
Statement
Assume Countable Choice for the Lebesgue regular-distribution convention. If is nonempty, open and connected and for every , then there is a unique such that for every test. Conversely every constant regular distribution has zero first derivatives. On a disconnected open set constants may differ on different connected components.
Facts & Assumptions
Smooth local convolutions satisfy (Convolution with a test function is smooth).
Unit-mass mollifications converge locally in distribution pairings under Countable Choice (Mollifier approximation in distributions).
A compact ball admits a nonnegative smooth compact cutoff, so a nonzero such bump inside any open ball can be normalized by its positive finite integral (Test function cutoffs and euclidean localization).
The mean-value inequality for implies that a smooth function with zero gradient is constant on a ball (The mean value inequality: if is continuous and differentiable on with , then ).
Distributions equal on an open cover are equal globally (Distributions form a sheaf).
Classical derivatives of smooth regular distributions agree with distribution derivatives under Countable Choice (Distributional differentiation is continuous and commutes). We assume The Axiom of Countable Choice () for F2 and this regular interpretation.
Proof
Given: the vanishing first derivatives and the stated choice assumption.
Take any open ball with compact closure in . For all sufficiently small , F1 gives a smooth mollification on a neighborhood of with every first derivative zero. Along the segment between any two points of , the chain rule gives derivative zero; F4 with bound zero makes their values equal. Denote this value by .
Choose with using F3. Then F2 gives . For every , F2 therefore gives . A unit-integral test also shows uniqueness of this constant on .
If two such balls overlap, their intersection contains an open ball and hence a unit-integral test by F3. Evaluation on that test proves that their constants agree. Consequently there is a well-defined locally constant function on , whose value is the unique constant of any sufficiently small ball about . For a fixed , the set and its complement are open. It is nonempty, so connectedness forces the complement empty. F5 applied to the ball cover yields as a regular distribution. A unit-integral test anywhere proves uniqueness.
F6 proves the converse, since the classical first derivatives of a constant vanish. In any open subset of Euclidean space each connected component is open: a ball about a point is connected and belongs to its component. Applying the preceding argument in each component gives independent constants. Conversely such a componentwise constant function is locally constant, hence smooth, and F6 gives zero derivatives. On the empty domain the sole distribution is zero but its representing constant is not unique; this explains the nonempty hypothesis. Countable Choice is inherited only from the integral mollification and regular-derivative clauses, not from the overlap argument.
Depends on
- Distributional derivative
- Convolution with a test function is smooth
- Mollifier approximation in distributions
- Distributions form a sheaf
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The mean value inequality: if $f : [a,b] \to \mathbb{R}^m$ is continuous and differentiable on $(a,b)$ with $\lVert f'\rVert_2 \le M$, then $\lVert f(b)-f(a)\rVert_2 \le M(b-a)$
- Test function cutoffs and euclidean localization
- Distributional differentiation is continuous and commutes
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
52 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
- Semyon Dyatlov, Lecture notes for 18.155 (2022) (standard reference, not scraped)