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LemmaStatement: AI-adaptedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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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.

Every Cauchy sequence in a metric space is bounded

Statement

Let (X,d)(X,d) be a metric space (Metric space: d(x,y)=0d(x,y) = 0 iff x=yx = y, symmetry, and the triangle inequality; pseudometric and ultrametric) and let (xk)(x_k) be a Cauchy sequence in XX (Cauchy sequence in a metric space). Then its range R:={xk:kN}R := \{\, x_k : k \in \mathbb{N} \,\} is a bounded subset of XX (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space): there are a point x0Xx_0 \in X and a real r>0r > 0 with RB(x0,r)R \subseteq B(x_0, r) (Open ball, closed ball and sphere in a metric space).

Consequently RR is nonempty and bounded, so diam(R)\operatorname{diam}(R) exists (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space).

Facts & Assumptions

Given: A metric space (X,d)(X,d) and a Cauchy sequence (xk)(x_k) in XX; write R:={xk:kN}R := \{ x_k : k \in \mathbb{N} \}.

[A1]

Cauchyness at the real value 11: there is NNN \in \mathbb{N} with d(xm,xn)<1d(x_m,x_n) < 1 for all m,nNm,n \ge N (Cauchy sequence in a metric space, The rationals embed densely in the reals).

[L1]

A nonempty finite set of reals has a maximum, and every element of the set is at most that maximum (Every nonempty finite set of reals has a maximum and a minimum, Maximum and minimum of a set).

[L3]

Membership in a ball: yB(x,r)y \in B(x,r) means d(x,y)<rd(x,y) < r, and the radius is a positive real (Open ball, closed ball and sphere in a metric space).

[L4]

A subset AXA \subseteq X is bounded when A=A = \emptyset or AB(x0,r)A \subseteq B(x_0,r) for some x0Xx_0 \in X and real r>0r > 0 (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space).

Proof

technique · direct
1.1

Fix NN as in [A1], so that d(xm,xn)<1d(x_m,x_n) < 1 whenever m,nNm, n \ge N; in particular d(xk,xN)<1d(x_k, x_N) < 1 for every kNk \ge N.

A1
1.2

The set S:={d(xj,xN):jN}{1}S := \{\, d(x_j, x_N) : j \le N \,\} \cup \{1\} is a nonempty finite set of reals, so it has a maximum M:=maxSM := \max S, and M1>0M \ge 1 > 0.

L1L2
2.1

Put r:=M+1r := M + 1, a real with r>1>0r > 1 > 0. For jNj \le N we have d(xj,xN)M<rd(x_j,x_N) \le M < r, and for kNk \ge N we have d(xk,xN)<1M<rd(x_k,x_N) < 1 \le M < r; every index is of one of the two kinds, so d(xk,xN)<rd(x_k, x_N) < r for every kNk \in \mathbb{N}.

step 1.1step 1.2choose
3.1

Hence xkB(xN,r)x_k \in B(x_N, r) for every kk, that is RB(xN,r)R \subseteq B(x_N, r) with xNXx_N \in X and r>0r > 0, so RR is bounded; and RR is nonempty because it contains x0x_0.

step 2.1L3L4

Remarks

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Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 76 results over 29 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.

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