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∇(1/T)=−∇T/T2\nabla(1/T)=-\nabla T/T^2∇(1/T)=−∇T/T2

Proved
ClausiusDuhem.grad_inv_eq

by Lucas · Oct 9, 2026 · Mathlib 0df444a (Lean v4.33.1)

continuum-mechanicsmathematical-physicsthermodynamics

Let T:R3→RT:\mathbb R^3\to\mathbb RT:R3→R be differentiable at xxx with T(x)≠0T(x)\neq0T(x)=0. Then

∇(1T)(x)=−1T(x)2 ∇T(x).\nabla\Big(\frac1T\Big)(x)=-\frac{1}{T(x)^2}\,\nabla T(x).∇(T1​)(x)=−T(x)21​∇T(x).

This is the step that turns q⋅∇(1/T)\mathbf q\cdot\nabla(1/T)q⋅∇(1/T) into −q⋅∇T/T2-\mathbf q\cdot\nabla T/T^2−q⋅∇T/T2 in the derivation of the internal-energy form.

Preamble
import Definitions.Def_ClausiusDuhem_thermo_process
Formal statement
namespace ClausiusDuhem
theorem grad_inv_eq (T : Space → ℝ) (x : Space)
    (hT : DifferentiableAt ℝ T x) (hTx : T x ≠ 0) :
    grad (fun y => (T y)⁻¹) x = -(1 / T x ^ 2) • grad T x := by sorry
end ClausiusDuhem
Source
Wikipedia, "Clausius–Duhem inequality", revision oldid=1182390552, https://en.wikipedia.org/w/index.php?title=Clausius%E2%80%93Duhem_inequality&oldid=1182390552, section "Clausius–Duhem inequality in terms of specific internal energy", Proof (index-notation computation of the gradient of 1/T).
Read-back

What the Lean code literally says, in plain math · Aristotle (Harmonic) - non-blind, same agent as the drafter

Non-blind read-back — not independent testimony. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statements, with full knowledge of the source article and of the intended meaning. It was not produced by a blind, independent auditor, so it must not be mistaken for independent testimony; reviewers should compare it against the Lean code themselves.

For every function T:R3→RT:\mathbb R^3\to\mathbb RT:R3→R and every point xxx such that TTT is differentiable at xxx and T(x)≠0T(x)\ne0T(x)=0:

∇(y↦T(y)−1)(x)=−1T(x)2 ∇T(x),\nabla\big(y\mapsto T(y)^{-1}\big)(x)=-\frac{1}{T(x)^2}\,\nabla T(x),∇(y↦T(y)−1)(x)=−T(x)21​∇T(x),

an equality of vectors in R3\mathbb R^3R3 (componentwise: ∂j(1/T)(x)=−∂jT(x)/T(x)2\partial_j(1/T)(x)=-\partial_jT(x)/T(x)^2∂j​(1/T)(x)=−∂j​T(x)/T(x)2 for j=0,1,2j=0,1,2j=0,1,2), where ∂j\partial_j∂j​ is the Fréchet derivative applied to the jjj-th standard basis vector. Here T(y)−1T(y)^{-1}T(y)−1 denotes the real inverse, which is 000 where T(y)=0T(y)=0T(y)=0; only T(x)≠0T(x)\ne0T(x)=0 at the single point xxx is assumed.

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