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.
The distributional derivative of a piecewise function with a jump:
Statement
Assume the Axiom of Countable Choice (, The Axiom of Countable Choice ()), used only through the Borel-measurability, Lebesgue-integration and distribution suppliers cited below. Let be an open interval (Intervals of : the nine order-convex forms, nondegeneracy, and length), let , and let satisfy:
- is continuous on and of class on each of the two open intervals and ;
- the one-sided limits , and the one-sided limits of the derivative , all exist in .
Fix a value arbitrarily (for instance ) and define by for and . Put and let be the associated regular distributions (Regular distribution from a locally integrable function, A locally integrable function on ):
Then and are locally integrable on , and
in (Distributional derivative, Dirac delta and its derivatives): that is, for every test function ,
Both integrals are over the Lebesgue measure on , and the pairing convention of the two sides is complex-linear in ; it therefore suffices that the identity hold for real-valued test functions.
Facts & Assumptions
Given: , an open interval , a point , and a real function satisfying the piecewise- and one-sided-limit hypotheses above.
The test space consists of the compactly supported functions on ; for the pairing of a distribution is written , and ; the Dirac distribution satisfies ; and denote the Lebesgue integral, with ; a locally integrable defines the regular distribution (Distribution, Distributional derivative, Dirac delta and its derivatives, Test function space d of an open set, Regular distribution from a locally integrable function, A locally integrable function on , Integral over a measurable subset).
Complex Lebesgue integration by parts: for complex functions on a closed interval , , one has and (Complex integration by parts on intervals and decaying lines).
Functions agreeing almost everywhere have the same integral over every measurable set, and the Lebesgue integral is linear on (Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree, The Lebesgue integral is linear on ); a bounded real function on a closed bounded interval that is continuous except at finitely many points is Riemann integrable, and a bounded Borel Riemann integrable function on a box is Lebesgue integrable with the same integral (A bounded function on that is continuous except at finitely many points is Riemann integrable, Riemann–Lebesgue comparison for distribution test integrands).
A real function continuous on and differentiable on has for some . (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with )
A compact subset of the metric space is closed, hence Borel, and under every singleton in is Lebesgue-null (A compact subset of a metric space is closed and bounded, Every at most countable subset of is Lebesgue null; in particular ).
For nonnegative measurable functions, pointwise order implies the same order of their Lebesgue integrals; with the integral-over-a-set convention, gives (Monotonicity and nonnegative homogeneity of the nonnegative integral, Integral over a measurable subset).
A continuous real function on a nonempty compact metric space is bounded and attains its bounds (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
Proof
Local integrability: put and . Both are open, and and are continuous on each. For any open , the preimage on either half is open relative to that open half, hence open in ; the preimage at is either empty or . Thus both functions are Borel on . Let be compact. If , its integral is zero. Otherwise choose with and . Extending each one-sided reading of and to by its finite one-sided limit gives continuous functions on and ; [L7] bounds them there, and the fixed finite values at preserve boundedness. Hence and are bounded on , and their absolute values are Borel and continuous except possibly at . By [L3] they are Riemann integrable and Lebesgue integrable on . The set is Borel by [L5], and [L6] gives and . Thus both functions are locally integrable and define the regular distributions in [L1].
Let be real-valued. Choose with and ; compactness of the support and openness of allow this, without requiring a symmetric interval around . Since vanishes outside , [L1] and [L3] give the second equality splitting the integral over the two overlapping half-intervals by linearity and the identity (the subtracted term contributes because the singleton has measure zero).
On the left half-interval define for and ; on this extension is continuous. For , the mean value theorem [L4] on gives for some . As this tends to , proving the endpoint derivative. Its derivative is continuous up to ; extend beyond by the affine function to obtain a function on an open neighborhood of . On , and agree except at , so [L3] and [L5] give . Lebesgue integration by parts [L2] for the pair gives because and on ; the last integrals agree by [L3] and [L5].
On the right half-interval define for and . The mean value theorem [L4] on shows that the right derivative of at is ; extending affinely to the left gives a function on a neighborhood of . Since and , and and , agree except at , [L3] and [L5] give equality of their integrals against the tests on . Integration by parts [L2], together with , now gives
Adding the two identities of steps 2.1 and 2.2 and substituting into step 1.2 gives that is, for every real-valued by [L1]. Since both sides are complex-linear in , the identity extends to all by applying it to and ; hence in .
Depends on
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with
Regular distribution from a locally integrable function
A locally integrable function on
Distributional derivative
Distribution
Dirac delta and its derivatives
Test function space d of an open set
Integral over a measurable subset
Borel measurable and Lebesgue measurable functions on
The Axiom of Countable Choice ()
Every at most countable subset of is Lebesgue null; in particular
Intervals of : the nine order-convex forms, nondegeneracy, and length
Monotonicity and nonnegative homogeneity of the nonnegative integral
Complex integration by parts on intervals and decaying lines
A compact subset of a metric space is closed and bounded
A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree
The Lebesgue integral is linear on
A bounded function on that is continuous except at finitely many points is Riemann integrable
Riemann–Lebesgue comparison for distribution test integrands
Dependency tree · 2 levels
Sources
- Semyon Dyatlov, Lecture notes for 18.155 (MIT, 2022): distributional differentiation and the jump of the Heaviside function (the source whose conventions the library distributions use)
- David Tong, Classical Dynamics (University of Cambridge), §1.2, printed p. 2: the variable-mass momentum remark and the caution that a finite force at each point does not by itself determine momentum jumps