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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Work-energy balance for forces
Statement
Let , let be an interval with at least two points (Intervals of : the nine order-convex forms, nondegeneracy, and length), let be nonempty and open, and let be the restriction of a function of class , where is an open interval containing ( Euclidean maps and diffeomorphisms). Write points of as with ; for , and each let be the gradient of at (The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case), and let and the spatial derivatives on denote the derivatives of restricted there. At an included endpoint of , derivatives of curves are limits relative to (one-sided there); this preserves closed and half-open time intervals. Let , let be twice differentiable (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral), put (Euclidean norm, The Euclidean inner product on ), let be maps, and suppose
Then:
- is differentiable on with ;
- is differentiable on with
- consequently in particular, if for all then , and if in addition then is constant on .
Facts & Assumptions
Given: The data of the statement: , an interval with at least two points, open , a function with the stated extension to , positive masses , a twice differentiable , and maps with on .
For a differentiable curve , the function is differentiable with derivative (Differentiation of sums, scalar multiples, inner products, cross products and squared norms of differentiable curves in , The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral); sums and scalar multiples of differentiable real functions are differentiable with the sum and scalar-multiple rules (Sums, scalar multiples, products and quotients: , , , and when ).
Total differentiability and the chain rule: if is totally differentiable at and at , then (The total (Fréchet) derivative as the linear first-order approximation with remainder, The chain rule for total derivatives: ). A map is totally differentiable at every point, and its total derivative at is the linear map with matrix the Jacobian (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative, The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case, Euclidean maps and diffeomorphisms).
The total derivative computes directional derivatives: (A total derivative computes every directional derivative, and its matrix is the Jacobian).
The Euclidean inner product is bilinear and symmetric, (The Euclidean inner product on ), and finite sums are linear (Laws of finite sums and finite products).
A differentiable real function with zero derivative on an interval is constant (A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant).
Proof
Each is differentiable on because is twice differentiable, so [L1] gives differentiability of with derivative ; by the sum and scalar rules of [L1] and linearity of the finite sum [L4], is differentiable with which is clause 1.
The curve , , is differentiable (its components are the identity and the components of ; The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral), with under the identification . Since is on the open neighborhood of , [L2] gives the usual chain rule at interior points. At an included endpoint, as relative to , and total differentiability gives . Substituting the first expansion into the second proves the same relative derivative there. Thus , and [L3] evaluates the right side as the matrix product of the Jacobian of at with , that is the last step regrouping the coordinates of into the blocks and using the coordinate formula for the inner product [L4]; this is clause 2.
Adding the identities of clauses 1 and 2 and substituting , the two occurrences of cancel, leaving clause 3. If the derivative is , and if also then the derivative of vanishes identically on the interval , so that function is constant by [L5].
Depends on
Differentiation of sums, scalar multiples, inner products, cross products and squared norms of differentiable curves in
Euclidean maps and diffeomorphisms
The Euclidean inner product on
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
The total (Fréchet) derivative as the linear first-order approximation with remainder
The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
Intervals of : the nine order-convex forms, nondegeneracy, and length
The chain rule for total derivatives:
If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
A total derivative computes every directional derivative, and its matrix is the Jacobian
A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant
Laws of finite sums and finite products
Sums, scalar multiples, products and quotients: , , , and when
Dependency tree · 2 levels
Sources
- David Tong, Classical Dynamics (University of Cambridge), §1.3.2, Eqs. (1.22)-(1.25), printed pp. 8-9: kinetic-energy splitting and $d(T+V)/dt=\partial_tV$ for conservative forces
- Konstantin Likharev, Essential Graduate Physics: Classical Mechanics, §1.3, Eqs. (1.19)-(1.27), printed pp. 8-10: work-energy balance for a time-dependent potential