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CorollaryStatement: Literature-sourcedProof: Literature-sourcedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-06
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  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
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Nonconstant negative-gradient trajectories strictly decrease the function

Statement

If γ:IM is a nonconstant negative-gradient trajectory, then (fγ)(t)<0 for every tI.

Facts & Assumptions

Given: A nonconstant negative-gradient trajectory γ:IM.

[F1]

(fγ)=gradgfg2 along γ (A negative-gradient trajectory satisfies the energy identity).

[F2]

The gradient vanishes exactly at a critical point (The Riemannian gradient vanishes exactly at the critical points).

[F3]

An integral curve through a prescribed point is unique on its maximal interval (Through each point there is a unique maximal integral curve).

Proof

technique · direct
1.1

If γ(t0) were critical, [F2] would make the vector field gradgf vanish there, so the constant curve at γ(t0) is an integral curve through that point.

F2given
2.1

By [F3], that constant integral curve and γ agree on I, contradicting the hypothesis that γ is nonconstant. Hence γ(t) is never critical.

F3step 1.1
3.1

By [F2] the gradient is nonzero at every γ(t), and [F1] now gives (fγ)(t)<0 for every tI.

F1F2step 2.1

Depends on

Used by

Dependency tree · two levels

9 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources