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.
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- 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.
The standard weighted metric on a countable product of bounded complete metric spaces is complete
Statement
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.
Facts & Assumptions
Given: The complete bounded metric spaces of the statement. No choice principle is assumed: the limits of any supplied coordinate sequences are unique.
The product set. Let be a set and let be a set for each . The product is and we write , the -th coordinate of . Two elements of the product are equal exactly when they agree at every index, functions being equal when they have the same domain and the same values. For the -th projection is . The product topology on is the initial topology of the projections: the topology generated by the subbasis . Finite intersections of subbasic sets form a basis for it, and they are exactly the boxes with every open in and for all but finitely many . (The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space).
Let be a metric space (def-metric-space). is complete if every Cauchy sequence in converges to a point of ; a subset is called complete when the metric subspace is complete. (Complete metric space: every Cauchy sequence converges in the space).
Throughout, is the complete ordered field (def-real-numbers) and a sequence of reals is a function (def-sequence), written ; recall that contains . The sequence of partial sums of a sequence of reals is , so that and ; the series converges when converges, and its sum is then that limit. (Series, partial sums, convergence and the sum, divergence, and the tail series).
Let and let be the integer power (def-integer-power), so that for every , including . 1. If then the series converges (def-series) and 2. If then diverges. The series starts at and its first term is ; in particular , while the series starting at sums to . Which starting index is meant has to be said, and it is said here. (For , , and for the series diverges).
Proof
Put . By [F4], and . Since , the partial sums of increase and are bounded by , so is finite. Symmetry and hold termwise. If , every nonnegative summand vanishes; each , hence for every , and [F1] gives . Summing each coordinate triangle inequality to a finite index and passing to the limit gives . Thus is a metric on the product, including when that set is empty.
For each , the th nonnegative summand gives . Hence every coordinate projection is -continuous, so every product-open set is -open by [F1]. Conversely, fix in the product and . Choose with by [F4]. The finite-coordinate box is product-open and contains . For , its first summands total less than because , and its remaining summands total at most . Thus . Applying this at each point of a -open set with a ball contained in that set shows the set is product-open. The topologies coincide.
Let be a -Cauchy sequence. For every , the inequality in step 2.1 makes a -Cauchy sequence. Completeness [F2] gives its unique limit . The rule therefore defines one element of the product by [F1]; no choices of limits are made. Given , choose with . For each of the finitely many , coordinate convergence supplies an index after which ; take the maximum of these finitely many indices. For all later , the first weighted distances total less than and the tail is at most . Hence , proving completeness.
When the index family itself is empty, [F1] gives the unique empty function as its sole product point; the sum has no terms and is zero, giving the one-point complete metric space and its unique topology. If a countable product has no points, metric and topology assertions are vacuous and no Cauchy sequence exists. These conventions also cover empty coordinate spaces without selecting points in them.
Steps 1.1–4.1 establish all asserted metric, topology, completeness, and empty-product clauses.
Depends on
- The product set $\prod_{i \in I} X_i$ of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space
- Complete metric space: every Cauchy sequence converges in the space
- Series, partial sums, convergence and the sum, divergence, and the tail series
- For $|r| < 1$, $\sum_{k \ge 0} r^k = 1/(1-r)$, and for $|r| \ge 1$ the series diverges
Used by
- Under the Axiom of Choice, the Hilbert cube is compact, Polish, and universal for separable metrizable spaces Example
- Borel subspaces admit polish presentations Lemma
- Countable compactness closes in the bidual Lemma
- Eberlein–Šmulian metrization on the relevant dual ball Lemma
- Prokhorov tightness theorem on polish spaces Theorem
- Standard borel spaces admit bimeasurable real codings Theorem
- Under countable choice, a countable product of completely metrizable spaces is completely metrizable Theorem
- Under the Axiom of Choice, a space is Polish exactly when it is homeomorphic to a G_δ subspace of the Hilbert cube Theorem
Dependency tree · two levels
31 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
- 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)