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False statementConstruction: AI-adaptedVerification: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-29
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FALSE: every normal space is Hausdorff, so the T1T_1 hypothesis in T4T_4 is redundant

Statement

False claim: every normal space (Normal spaces and T4T_4 spaces, with the source disagreement over whether normality includes T1T_1 stated explicitly) is Hausdorff (Hausdorff space: distinct points have disjoint open neighbourhoods; every metrizable space is Hausdorff and the indiscrete topology on two points is not); equivalently, the T1T_1 hypothesis in the definition of T4T_4 is redundant.

The refutation is the indiscrete topology Tind={,X}\mathcal{T}_{\mathrm{ind}} = \{\varnothing, X\} on a two-point set X={a,b}X = \{a, b\} with aba \ne b (The discrete, indiscrete, cofinite, cocountable, particular-point and Sierpinski topologies). It is normal, because its only closed sets are \varnothing and XX and no two nonempty closed sets are disjoint; and it is not Hausdorff, not T1T_1 and not even T0T_0, because the only open set containing either point is XX.

Facts & Assumptions

Given: The two-point set X={a,b}X = \{a,b\} with aba \ne b, carrying the indiscrete topology Tind={,X}\mathcal{T}_{\mathrm{ind}} = \{\varnothing, X\}.

[A1]

A space is normal when any two disjoint closed sets have disjoint open supersets (Normal spaces and T4T_4 spaces, with the source disagreement over whether normality includes T1T_1 stated explicitly).

[A2]

A space is Hausdorff when distinct points have disjoint open neighbourhoods, T1T_1 when each of two distinct points has an open set containing it and missing the other, and T0T_0 when some open set contains exactly one of them (Hausdorff space: distinct points have disjoint open neighbourhoods; every metrizable space is Hausdorff and the indiscrete topology on two points is not, T0T_0 (Kolmogorov) and T1T_1 (Frechet) spaces).

Refutation

technique · direct
1.1

Let AA and BB be disjoint closed subsets of XX; by [L1] each is \varnothing or XX, and since XX \ne \varnothing they cannot both be XX.

L1
1.2

If A=A = \varnothing then U:=U := \varnothing and V:=XV := X are disjoint open sets with AUA \subseteq U and BVB \subseteq V; if B=B = \varnothing then U:=XU := X and V:=V := \varnothing do the same.

L1construct
1.3

The only open set containing aa is XX, and the only open set containing bb is XX, since \varnothing contains neither.

L1
2.1

By steps 1.1 and 1.2 every pair of disjoint closed sets is separated by disjoint open sets, so (X,Tind)(X, \mathcal{T}_{\mathrm{ind}}) is normal.

step 1.1step 1.2A1
2.2

By step 1.3 no open set contains exactly one of aa and bb, so (X,Tind)(X,\mathcal{T}_{\mathrm{ind}}) is not T0T_0, hence not T1T_1 and not Hausdorff.

step 1.3A2
3.1

By step 2.1 the space is normal and by step 2.2 it is not Hausdorff, so the claim is false; and since it is not T1T_1 either, the T1T_1 hypothesis in the definition of T4T_4 is not redundant.

step 2.1step 2.2A1A2

Remarks

  • This is the reason this library does not build T1T_1 into the word normal. Normality on its own places a space nowhere in the hierarchy: the witness above is normal and fails the weakest axiom of all. Sierpinski space, on the companion page, is a second witness, normal and T0T_0 and not regular.

  • The same two-point space refutes more than this. It is also regular, completely regular, completely normal and perfectly normal, and still not T0T_0; the verification is on the companion page. So every unnumbered adjective on this page is compatible with the total failure of point separation, which is exactly what the numerals T3T_3 to T6T_6 are for.

  • What survives. With T1T_1 added, normality does give the whole descending chain (A normal T1T_1 space is regular, hence T3T_3, hence Urysohn, Hausdorff, T1T_1 and T0T_0); the hypothesis is spent at one step, turning a point into a closed set.

Depends on

Used by

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Direct dependencies and their dependencies through the next three levels: 77 results over 25 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