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Finite tail length and point convergence on a compact analytic manifold
Statement
Assume countable choice. On every nonempty connected compact real analytic manifold without boundary with any smooth Riemannian metric, every downward gradient trajectory of a real analytic potential has finite length and converges to one critical point. Analytic manifold, metric, potential and gradient have the conventions in Transfer of the analytic gradient inequality to a smooth metric; no isolation of critical points is assumed.
Facts & Assumptions
The compact critical-cluster lemma gives , , and . The transfer and trapping lemmas give a whole tail in a neighborhood satisfying the gradient inequality. The local length estimate bounds length after any later by , where . Distance is at most joining-curve length.
On a connected Riemannian manifold, is a finite metric; in particular it satisfies the triangle inequality (Riemannian distance is a metric).
Exact suppliers: Transfer of the analytic gradient inequality to a smooth metric, A critical cluster point for a compact gradient trajectory, The local gradient inequality bounds trajectory length, Trapping a gradient tail near a critical cluster point, The Axiom of Countable Choice (AC_ω), Riemannian distance on a connected manifold, Riemannian distance is a metric, The riemannian distance topology is the manifold topology, Riemannian speed and length.
Proof
Given: The data and hypotheses of the Statement.
Goal: Establish its conclusion.
Apply the first four lemmas to obtain the critical cluster point , a trapped tail starting at , and constants , . For every and the length estimate gives . Taking the supremum over proves finite tail length and shows that the bound tends to zero as . The initial segment has finite length because its speed is continuous on the compact interval .
Fix . For cluster times , distance is at most the length of , hence . Letting and using gives . The limit is critical by the cluster lemma. This proves convergence to a single point without assuming that it is isolated or a local minimum.
Depends on
- Transfer of the analytic gradient inequality to a smooth metric
- A critical cluster point for a compact gradient trajectory
- The local gradient inequality bounds trajectory length
- Trapping a gradient tail near a critical cluster point
- The Axiom of Countable Choice (AC_ω)
- Riemannian distance on a connected manifold
- Riemannian distance is a metric
- The riemannian distance topology is the manifold topology
- Riemannian speed and length
Dependency tree · 2 levels
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