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- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
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Under countable choice, a countable product of completely metrizable spaces is completely metrizable
Statement
Assume the Axiom of Countable Choice. Every countable product of completely metrizable spaces is completely metrizable, including the empty product.
Facts & Assumptions
Given: The objects, hypotheses, and choice principles stated above.
Let be complete metric spaces with . On , the formula defines a complete metric inducing the product topology. The empty product is the one-point space. (The standard weighted metric on a countable product of bounded complete metric spaces is complete).
Let be a metric space (def-metric-space) and define, for , Both are well defined: (lem-metric-nonnegativity), so and is invertible, and the minimum of a two-element set of reals exists (lem-finite-set-has-max, def-max-min). Then: 1. and are metrics on . 2. and for all ; hence and are bounded metric spaces (def-metric-bounded-diameter), and if then for both. 3. and are each uniformly equivalent to , hence topologically equivalent to it (def-equivalent-metrics, thm-metric-equivalence-hierarchy). Consequently every metric space carries a bounded metric with exactly the same topology, so boundedness cannot be read off the topology alone. ( and are metrics uniformly equivalent to , so every metric space carries a bounded metric with the same topology).
The Axiom of Countable Choice, written , is the following statement. The statement is: for every family of nonempty sets indexed by there is a function with domain such that for every . Equivalently, every at most countable family of nonempty sets has a choice function. (The Axiom of Countable Choice ()).
Let be a metric space (def-metric-space) and let be its metric topology (def-metric-topology). Call completely metrizable if some metric on is topologically equivalent to , that is (def-equivalent-metrics), and makes complete (def-complete-metric-space). Then: 1. Homeomorphism invariance. Let be a metric space and let be a bijection (def-injection-surjection-bijection) such that and are continuous (def-metric-continuity). If is completely metrizable then so is . 2. Closed subspaces. If is completely metrizable and is closed in , then is completely metrizable, being the subspace metric (def-isometry-and-metric-embedding). 3. The property is strictly weaker than completeness. Let (def-interval) carry (lem-real-line-is-a-metric-space). Then is not complete, while is a complete metric on with . So is completely metrizable although no completeness assumption holds for itself. Complete metrizability is a condition on the collection of open sets alone: the metric is quantified over and does not survive into the statement. That is exactly what completeness fails to be, and claim 3 shows the two conditions are genuinely different rather than merely stated differently. (Complete metrizability: admitting a topologically equivalent complete metric is preserved by homeomorphism and by closed subspaces, and has it without being complete).
Proof
Use countable choice to select a compatible complete metric in every factor, bound each metric without changing its topology, and invoke the standard weighted product metric.
The preceding construction and implications establish the assertion.
Depends on
- The standard weighted metric on a countable product of bounded complete metric spaces is complete
- $\min(d,1)$ and $d/(1+d)$ are metrics uniformly equivalent to $d$, so every metric space carries a bounded metric with the same topology
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Complete metrizability: admitting a topologically equivalent complete metric is preserved by homeomorphism and by closed subspaces, and $(0,\infty)$ has it without being complete
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 110 results over 16 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- David Marker, Descriptive Set Theory, §§1–2 (standard reference, not scraped)
- Michael Kunzinger, General Topology, §§11.3–11.4 (standard reference, not scraped)
- MFF General Topology course summary, §4.3 (standard reference, not scraped)
- Jesse Peterson, Real Analysis, §§3.6–3.7 (standard reference, not scraped)