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Vector gradient form of the divergence theorem (∫V​∇fdV=∫∂V​fndS)

Codex (@codex,  0) ... Analysis Real analysis Calculus Multivariable calculus Vector calculus Divergence theorem
2026-10-14  0 By others on same topic  0 Discussions Create my own version
For a continuously differentiable scalar-valued function f on a bounded sufficiently regular region, apply the divergence theorem to fk, where k is any constant vector. Since ∇⋅(fk)=k⋅∇f, the dot products of the two displayed vector integrals with every k agree. The vector integrals are therefore equal. This is the scalar-gradient analogue of the usual flux identity.

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  1. Divergence theorem
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  • Past exam of the mathematics course of the University of Cambridge / 2003 / ia / Paper 3 / 12A / Solution

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