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.
For every bounded sequence in has a convergent subsequence
Statement
Let with and let be a sequence in whose range is a bounded subset of (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space, as the set of functions , and , , are metrics on it). Then there are a strictly increasing (Sequences of reals: bounded, eventually, frequently, tails, subsequences, A strictly increasing index map satisfies ) and a point with
(Convergence of a sequence in a metric space: iff in ). By For all norms on are equivalent the same statement holds with replaced by the metric of any norm on , boundedness and convergence both being unchanged by that replacement (Equivalent norms, and the dictionary with equivalent metrics).
This is assembled from published theorems and is not proved again by bisection. The bisection is in Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, published at order 120; what is added here is the passage from compactness to sequential compactness and the reading of the conclusion in .
Choice cost: none. Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line is proved by bisection and uses no choice principle, and "compact implies sequentially compact" is a theorem of ZF (In any metric space compactness implies countable compactness and limit point compactness, and each of countable compactness and limit point compactness implies sequential compactness; every implication here is proved without a choice principle). The five-way equivalence For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice is not used, precisely because it is stated under countable choice and dependent choice (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain) and would overcharge this corollary; the arrow-by-arrow account is What each implication between the compactness properties of a metric space costs: which are theorems of ZF, which use countable choice, and which use dependent choice.
Facts & Assumptions
Given: A natural ; a sequence in whose range is bounded in .
Boundedness: a nonempty is bounded when for some and real (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space, Open ball, closed ball and sphere in a metric space).
, is a norm, and for every (Each is a norm on , and the induced metrics are exactly , and of the published metric-spaces page, The -norms for rational , and , A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for clause 3).
Closed boxes are compact: for reals the set is a compact subset of (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line clause 1, Open cover, subcover, compact metric space, and compact subset of a metric space).
In ZF, a compact metric space is countably compact and limit point compact, and each of those implies sequential compactness (In any metric space compactness implies countable compactness and limit point compactness, and each of countable compactness and limit point compactness implies sequential compactness; every implication here is proved without a choice principle, Countably compact, sequentially compact and limit point compact metric spaces): every sequence in it has a subsequence converging to a point of it.
A compact subset of is one for which the metric subspace is a compact metric space, being the restriction of (Open cover, subcover, compact metric space, and compact subset of a metric space, Isometry, isometric embedding, and the subspace metric on a subset).
Convergence in a metric space, and inheritance of limits by subsequences (Convergence of a sequence in a metric space: iff in , Subsequences inherit the limit, A strictly increasing index map satisfies ).
Proof
The range of the sequence is nonempty and bounded, so there are and a real with for every .
Put , a real with . By the triangle inequality for the norm, for every .
For every and every : , hence .
Let . Since , is a compact subset of , and by step 3.1 every term lies in .
By [L5] the metric subspace is a compact metric space, and by [L4] it is sequentially compact.
is a sequence in , so there are a strictly increasing and with in .
Since is the restriction of to , the reals and are equal for every , so in as well.
So the bounded sequence has a subsequence converging in , which is the claim.
Remarks
-
The case and the published one-dimensional theorem. is the set of functions and is therefore not literally . The map sending to the function with value at is a bijection, and (Square roots exist: a unique with ; the positives are , Basic properties of the absolute value), so is an isometric bijection onto (Isometry, isometric embedding, and the subspace metric on a subset). Under that identification this corollary at and the published Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence are the same statement, and neither is used to prove the other: the published theorem is proved on the real line, and the corollary above is proved from Heine-Borel in .
-
Boundedness of the sequence is boundedness of its range, a set, and not a condition on each coordinate separately. The two do agree here: step 3.1 gives one direction, while the reverse follows from in The finite and reverse triangle inequalities for a norm; and for every norm on satisfies and is Lipschitz, hence continuous, for clause 3 after taking the maximum of the finitely many coordinate bounds. What does not follow from bounded coordinates is convergence, and the companion page carries that false statement.
-
What sequential compactness gives and what it does not. It produces a convergent subsequence and says nothing about the original sequence. A bounded sequence need not converge, and a sequence with a convergent subsequence need not be bounded; both remarks are already recorded for the real line in Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence.
Depends on
- For $n \ge 1$ all norms on $\mathbb{R}^n$ are equivalent
- Equivalent norms, and the dictionary with equivalent metrics
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- In any metric space compactness implies countable compactness and limit point compactness, and each of countable compactness and limit point compactness implies sequential compactness; every implication here is proved without a choice principle
- For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice
- Open cover, subcover, compact metric space, and compact subset of a metric space
- Countably compact, sequentially compact and limit point compact metric spaces
- Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space
- Open ball, closed ball and sphere in a metric space
- Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- $\mathbb{R}^n$ as the set of functions $n \to \mathbb{R}$, and $d_1$, $d_2$, $d_\infty$ are metrics on it
- Convergence of a sequence in a metric space: $x_k \to x$ iff $d(x_k, x) \to 0$ in $\mathbb{R}$
- Sequences of reals: bounded, eventually, frequently, tails, subsequences
- Subsequences inherit the limit
- A strictly increasing index map satisfies $n_k \ge k$
- The $p$-norms $\lVert x\rVert_p$ for rational $p \ge 1$, and $\lVert x\rVert_\infty$
- Each $\lVert\cdot\rVert_p$ is a norm on $\mathbb{R}^n$, and the induced metrics are exactly $d_1$, $d_2$ and $d_\infty$ of the published metric-spaces page
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- The finite and reverse triangle inequalities for a norm; and for $n \ge 1$ every norm $N$ on $\mathbb{R}^n$ satisfies $N(x) \le C\lVert x\rVert_1$ and is Lipschitz, hence continuous, for $d_2$
- Isometry, isometric embedding, and the subspace metric on a subset
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- Basic properties of the absolute value
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 217 results over 36 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
- Bolzano-Weierstrass theorem (Wikipedia) (standard reference, not scraped)
- Heine-Borel theorem (Wikipedia) (standard reference, not scraped)
- J. Demmel, MA221 Lecture 3: Vector Norms (standard reference, not scraped)
- G. Zitelli, Math 641 Functional Analysis, Part I (standard reference, not scraped)