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.
Regular distribution from a locally integrable function
Definition
For open , write when is Lebesgue measurable and for every compact . This extends A locally integrable function on : equivalently, require integrability on every ball whose closure is a compact subset of . Such balls finitely cover each compact , and conversely their closures are compact; on all of , any ball lies in a larger compact closed ball.
For a test as in Test function space d of an open set, define the regular functional
This is well-defined since for . It is complex-linear in and in and depends only on the almost-everywhere class of . For an empty support the integral is zero. The subsequent embedding theorem establishes continuity, so that this is a distribution, and injectivity modulo almost-everywhere equality. That theorem states the Countable Choice cost of its injectivity proof; no choice is needed to define the displayed pairing.
Depends on
Used by
- Pointwise convergent functions need not converge as distributions without local control Counterexample
- Pullback of a distribution by a diffeomorphism Definition
- Derivative of the heaviside function is dirac delta Example
- Derivatives of piecewise smooth functions include jump deltas Example
- Distributional laplacian of the newtonian kernel Example
- Distributional differentiation is continuous and commutes Theorem
- Local structure of distributions as derivatives of continuous functions Theorem
- Locally integrable functions embed in distributions Theorem
- Mollifier approximation in distributions Theorem
Dependency tree · two levels
6 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)