Alphabeta Math
CorollaryStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-26
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.

R((t−1)) does not have the least-upper-bound property; its canonical naturals have no supremum

Statement

K=R((t−1)) is an ordered field that is not a complete ordered field (Complete ordered field (least-upper-bound property)): it does not have the least-upper-bound property.

The failure is witnessed concretely by the set of canonical naturals A  :=  { n⋅1K  :  n∈N }  ⊆  K, which is nonempty and bounded above by t, yet has no least upper bound in K: every upper bound of A admits a strictly smaller upper bound.

Facts & Assumptions

Given: K with its valuation v, leading coefficient lc⁡, monomials t−a and constants ι(c); the set A={ n⋅1K:n∈N }.

[L1]

K is an ordered field in which f<g holds exactly when g−f≠0K and lc⁡(g−f)>0; the canonical naturals are n⋅1K=ι(n⋅1R); and for c≠0 the constant ι(c) is nonzero with v(ι(c))=0 and lc⁡(ι(c))=c (R((t−1)) is an ordered field, ordered by the sign of the leading coefficient).

[L3]

Every complete ordered field is Archimedean (Every complete ordered field is Archimedean).

[L4]

F is a complete ordered field when every nonempty S⊆F that is bounded above has a least upper bound in F, a least upper bound being an upper bound ≤ every upper bound (Complete ordered field (least-upper-bound property)).

[L5]

For nonzero h∈K: h(k)=0 for k<v(h) and h(v(h))=lc⁡(h)≠0; t−a is nonzero with v(t−a)=a and lc⁡(t−a)=1 (The formal Laurent series R((t−1)): support bounded below, valuation, leading coefficient).

[L6]

For nonzero f,g∈K: fg≠0K with v(fg)=v(f)+v(g) and lc⁡(fg)=lc⁡(f)lc⁡(g); −f≠0K with v(−f)=v(f) and lc⁡(−f)=−lc⁡(f); if v(f)<v(g) then f+g≠0K with lc⁡(f+g)=lc⁡(f); and if v(f)=v(g) with lc⁡(f)+lc⁡(g)≠0 then f+g≠0K with v(f+g)=v(f) and lc⁡(f+g)=lc⁡(f)+lc⁡(g) (Valuation and leading coefficient in R((t−1)): v(fg)=v(f)+v(g), and the behaviour of v under sums).

[L7]

R is a complete ordered field and hence Archimedean: for every real c there is a natural n with c<n⋅1R (The reals form a totally ordered field, The Cauchy-sequence reals have the least-upper-bound property, Every complete ordered field is Archimedean).

[L8]

In an ordered field exactly one of x<y, x=y, y<x holds (Ordered field).

Proof

technique · direct
1.1

K is an ordered field that is not Archimedean, while by [L3] every complete ordered field is Archimedean; so K is not a complete ordered field, that is, K does not have the least-upper-bound property of [L4].

L1L2L3L4
1.2

A is nonempty, since 0⋅1K=0K and 1⋅1K=1K lie in it, and it is bounded above by t, since n⋅1K<t for every natural n by [L2].

L1L2L4
1.3

Let s∈K be any upper bound of A. Since 1K∈A we have 1K≤s, and 1K>0K because lc⁡(1K)=1>0; so s>0K, hence s≠0K and lc⁡(s)>0.

L1L4L5
2.1

v(s)<0. Indeed, if v(s)>0 then v(1K)=0<v(s)=v(−s) by [L6], so 1K−s is nonzero with leading coefficient lc⁡(1K)=1>0, giving s<1K and contradicting 1K≤s by [L8]. And if v(s)=0, write c:=lc⁡(s)>0 and use [L7] to fix a natural n with c<n⋅1R; then ι(n⋅1R)−s has both valuations equal to 0 and leading coefficients summing to n⋅1R−c≠0, so by [L6] it is nonzero with leading coefficient n⋅1R−c>0, giving n⋅1K>s and contradicting that s is an upper bound of A.

step 1.3L1L4L5L6L7L8
3.1

Put r:=v(s)<0 and c:=lc⁡(s)>0, and set s′:=ι(c/2) t−r∈K. By [L1], [L5] and [L6], s′ is nonzero with v(s′)=0+r=r and lc⁡(s′)=(c/2)⋅1=c/2>0.

step 1.3step 2.1L1L5L6
4.1

s′ is an upper bound of A: it satisfies s′>0K by [L1], which settles n=0; and for n≥1 the element n⋅1K is nonzero with valuation 0 by [L1], so v(s′)=r<0=v(−(n⋅1K)) and [L6] makes s′−n⋅1K nonzero with leading coefficient c/2>0, that is n⋅1K<s′.

step 3.1L1L5L6
4.2

s′<s: both s and −s′ are nonzero of valuation r, and their leading coefficients sum to c−c/2=c/2≠0, so by [L6] the difference s−s′ is nonzero with leading coefficient c/2>0.

step 3.1L1L6
5.1

Steps 4.1 and 4.2 show that every upper bound s of A admits an upper bound s′ with s′<s, so no upper bound of A is least and A has no least upper bound in K; with [step 1.2] this exhibits a nonempty subset of K that is bounded above and has no supremum, which is the concrete form of the failure already established in [step 1.1].

step 1.1step 1.2step 4.1step 4.2L4∎

Remarks

  • Two proofs of one fact, kept apart on purpose. [step 1.1] is the abstract route: non-Archimedean ordered fields cannot be complete, by the contrapositive of Every complete ordered field is Archimedean, and nothing about Laurent series enters it. The rest of the proof is the concrete route, and it names the failing set. Only the concrete route tells the reader what has no supremum, which matters because the same field will be shown to be sequentially Cauchy complete in Every Cauchy sequence in R((t−1)) converges: K is sequentially Cauchy complete: the reader is entitled to see the set on which the two notions of completeness disagree.

  • The halving is not special. Any real λ with 0<λ<1 would serve in place of 1/2: the only properties used are that λc>0, so the smaller element is still positive of valuation r<0 and therefore still above every canonical natural, and that c−λc≠0, so the descent is strict. Both hold for every such λ, which is why the set of upper bounds of A has no least element rather than merely failing to contain one particular candidate.

Depends on

Used by

Dependency tree · two levels

33 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