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.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Local comparison of a riemannian metric with the euclidean metric
Statement
For a compact set contained in one coordinate chart of an -dimensional Riemannian manifold, there are such that for . The dimension-zero assertion is vacuous.
Facts & Assumptions
Given: A compact set in a single chart.
Coordinate criterion for a riemannian metric: A tensor is Riemannian exactly when its coordinate matrix has smooth entries and is symmetric positive definite. Under it transforms by .
A product of finitely many compact spaces is compact in the product topology: For every (def-natural-numbers) and every family of compact topological spaces (def-compact-space, def-topological-space), the product with the product topology (def-product-topology) is compact. In particular a binary product of compact spaces is compact, and the empty product, a one-point space, is compact. No choice principle is used beyond lem-finite-choice, which is a theorem of ZF. That is what separates the finite case from the arbitrary one, where the Axiom of Choice is genuinely spent.
A subset of with the product topology is compact exactly when it is closed and bounded, the product topology being the Euclidean metric topology: Let with , let be the set of functions (lem-metrics-on-rn) carrying the product topology of copies of the usual topology of (def-product-topology), and let be the Euclidean metric. Then: 1. The product topology on is the metric topology of (def-metric-topology), so as a product and as a metric space are one topological space, and it is metrizable (def-metrizable-space). 2. A subset is a compact subset for the product topology (def-compact-space) if and only if is closed in and bounded (def-metric-bounded-diameter). The hypothesis is inherited from lem-metrics-on-rn, which defines and its three metrics only there; for the product is a one-point space and is compact. No choice principle is used: the metric statement it is read off from is proved by bisection (thm-heine-borel-rn).
A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value: Let be a nonempty compact metric space (def-metric-compactness, def-metric-space) and let be continuous (def-metric-continuity), carrying its usual metric (lem-real-line-is-a-metric-space). Then the image is bounded above and below (def-bounded-set), and it has a maximum and a minimum (def-max-min): there are points with and then and (def-complete-ordered-field, def-infimum). Nonemptiness of is a hypothesis and not an oversight: for the image is empty and has neither a supremum nor a maximum. No choice principle is used.
For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide: Let be a metric space (def-metric-space) and let be its metric topology (def-metric-topology), so that is a topological space (def-topological-space) and is metrizable (def-metrizable-space). Then: 1. is a compact metric space (def-metric-compactness) if and only if is a compact topological space (def-compact-space). 2. For every : is a compact subset of the metric space if and only if is a compact subset of the topological space , the two readings of "compact subset" being the metric subspace (def-isometry-and-metric-embedding) and the topological subspace (def-subspace-topology-top). Nothing here is a coincidence and nothing is transported. The open-cover condition of def-metric-compactness quantifies over families of subsets open in , and by def-metric-topology those are exactly the members of ; so the two conditions are not merely equivalent, they are the same condition written twice. No choice principle is used.
Proof
If is empty or , take . Otherwise is nonempty and compact: the sphere is closed bounded in Euclidean space, and finite products preserve compactness. Euclidean product and metric topologies agree, so the compactness-agreement theorem makes it a compact metric space.
The function is continuous and strictly positive on that space. The extreme-value theorem gives an attained minimum and a finite maximum . For , use and bilinearity to multiply these bounds by . For both inequalities are equalities. Thus the bounds hold on all tangent vectors over .
Source locator
Lee, Chapter 13, pp.337–340, Proposition 13.25, Lemma 13.28 and Theorem 13.29; finite piecewise refinements and pauses are treated explicitly here.
Depends on
- Coordinate criterion for a riemannian metric
- Pointwise norm and angle from a riemannian metric
- A product of finitely many compact spaces is compact in the product topology
- A subset of $\mathbb{R}^n$ with the product topology is compact exactly when it is closed and bounded, the product topology being the Euclidean metric topology
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide
Used by
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Sources
- John M. Lee, Introduction to Smooth Manifolds, second edition (standard reference, not scraped)