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.
Dirac delta and its derivatives
Definition
For , the Dirac distribution at is the complex-linear functional on , with the bilinear convention of Distribution. It is continuous: the seminorm restricts on each to a seminorm bounded by (and is zero if ), so it is one of the admissible seminorms defining the test topology.
Its derivatives are those of Distributional derivative: They are distributions by that definition; on each fixed-support stage the absolute value is at most . If all derivatives of the test vanish at , so the bound has zero left side. For this is ; a first derivative evaluates the negative first derivative of the test. No conjugation and no choice are involved. On the empty open set there is no permitted point , rather than a new Dirac distribution. The sharp order of these distributions requires a test witness and is proved in the assigned example later.
Depends on
Used by
- Not every distribution is a locally integrable function Counterexample
- Pointwise convergent functions need not converge as distributions without local control Counterexample
- Compactly supported distributions have global finite order Example
- 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
- Associativity of distribution convolution under compact support Theorem
- Distributions supported at one point Theorem
Dependency tree · two levels
4 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)