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TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-13
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The gradient theorem: the line integral of a gradient is the endpoint increment

Statement

Let U⊆Rn be open, let ϕ:U→R be C1, and let γ:[a,b]→U be piecewise-C1. Then

∫γ∇ϕ⋅dr=ϕ(γ(b))−ϕ(γ(a)).

Facts & Assumptions

Given: The open set, potential, and path in the Statement, with an admissible partition a=t0<⋯<tm=b when a<b.

[L1]

The vector line integral is the sum of the integrals of ⟨∇ϕ(γ(t)),vi(t)⟩ over the smooth pieces (Scalar line integrals with respect to arc length and vector-field line integrals).

[L2]

For a scalar function, the gradient lists its partial derivatives (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case).

[L3]

The total-derivative chain rule is D(g∘f)(a)=Dg(f(a))∘Df(a) (The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a)).

[L4]

If a continuous function on [u,v] has an integrable interior derivative q, then ∫uvq is its endpoint increment (Newton–Leibniz needs only continuity on [a,b], differentiability on (a,b), and a Riemann-integrable extension of the interior derivative).

Proof

technique · direct
1.1

If a=b, [L1] makes the line integral zero and the two endpoint values agree. Assume henceforth that a<b. On the interior of the ith smooth piece, [L2] and [L3] give ddtϕ(γ(t))=⟨∇ϕ(γ(t)),γ′(t)⟩.

givenL1L2L3algebra
2.1

The continuous derivative extension on that piece is the integrand in [L1]. Applying [L4] gives ∫titi+1⟨∇ϕ(γ(t)),vi(t)⟩ dt=ϕ(γ(ti+1))−ϕ(γ(ti)).

step 1.1L1L4
3.1

Sum step 2.1 over the finite partition. All interior endpoint values cancel, leaving ϕ(γ(b))−ϕ(γ(a)), and [L1] identifies the left side with the line integral.

step 2.1L1algebra
4.1

For a constant path the integrand is zero and the endpoints coincide, so both sides are zero. The same conclusion holds whenever merely γ(a)=γ(b).

L1step 3.1algebra∎

Depends on

Used by

Dependency tree · two levels

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Sources