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 gradient theorem: the line integral of a gradient is the endpoint increment
Statement
Let be open, let be , and let be piecewise-. Then
Facts & Assumptions
Given: The open set, potential, and path in the Statement, with an admissible partition when .
The vector line integral is the sum of the integrals of over the smooth pieces (Scalar line integrals with respect to arc length and vector-field line integrals).
For a scalar function, the gradient lists its partial derivatives (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case).
The total-derivative chain rule is (The chain rule for total derivatives: ).
If a continuous function on has an integrable interior derivative , then is its endpoint increment (Newton–Leibniz needs only continuity on , differentiability on , and a Riemann-integrable extension of the interior derivative).
Proof
If , [L1] makes the line integral zero and the two endpoint values agree. Assume henceforth that . On the interior of the th smooth piece, [L2] and [L3] give
The continuous derivative extension on that piece is the integrand in [L1]. Applying [L4] gives
Sum step 2.1 over the finite partition. All interior endpoint values cancel, leaving , and [L1] identifies the left side with the line integral.
For a constant path the integrand is zero and the endpoints coincide, so both sides are zero. The same conclusion holds whenever merely .
Depends on
Scalar line integrals with respect to arc length and vector-field line integrals
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
The chain rule for total derivatives:
Newton–Leibniz needs only continuity on , differentiability on , and a Riemann-integrable extension of the interior derivative