Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

Set-sized objects and definable-class schemas

Definition

Use the first-order language of The first-order language of set theory: ∈, =, formulas with parameters, and class abbreviations: all quantified objects are sets, and a definable class {x:φ(x,p)} abbreviates a formula with set parameters p. It is not a new set or a domain for unrestricted quantification. Work with the usual set axioms, in particular The Axiom of Power Set: ∀x ∃y ∀z (∀t (t∈z→t∈x)→z∈y) and The Axiom Schema of Separation: for each formula φ, ∀pˉ ∀x ∃y ∀z (z∈y↔(z∈x∧φ(z,pˉ))), and the ordered pairs, products and functions of The Kuratowski ordered pair (a,b):={{a},{a,b}}, The Cartesian product A×B:={ z∈P(P(A∪B)):∃a∈A ∃b∈B z=(a,b) } and A function is a relation f with (a,b)∈f and (a,c)∈f implying b=c; f:A→B, the value f(a), domain and codomain. The power-set axiom supplies a collecting set; Separation trims it to exactly P(X)={Y:Y⊆X}.

A small category has a set O of objects, a set A of arrows, source and target functions s,t:A→O, an identity function e:O→A, and a composition function on the set {(a,b)∈A×A:s(a)=t(b)}, where ab denotes a∘b and the laws are s(e(x))=t(e(x))=x, s(ab)=s(b), t(ab)=t(a), e(t(a))a=a=ae(s(a)), and (ab)c=a(bc) whenever the displayed compositions are defined. It is locally small when each specified hom-collection is a set. A definable large category is a schema of formulas for its objects, arrows and operations, with those laws asserted as formulas; it is not a set of all objects or a category of all large categories. No Grothendieck universe is assumed.

All indexed families in the local bundle construction have a supplied set index I. If Ui⊆M and G is a set, their tagged disjoint union is the subset D={(i,x,z)∈I×M×G:x∈Ui}, formed by Separation. Given a set equivalence relation E⊆D×D, each class [u]E={v∈D:(u,v)∈E} is a subset of D, and the quotient is the set

D/E={C∈P(D):∃u∈D ∀v∈D (v∈C  ⟺  (u,v)∈E)}.

Thus the quotient is obtained by Separation in P(D), without choosing representatives. Transition-map graphs and connection data are subsets of specified finite products and power sets, not arbitrary proper-class objects.

For the Cauchy-development coding application, fix a set manifold Σ and the tensor-bundle total spaces over Σ×R. A code consists of an open set D⊆Σ×R, graphs of a metric and a two-form on D inside those fixed total spaces, a time orientation, and a fixed initial embedding. All of its coordinates belong to fixed products and power sets. Separation selects the tuples satisfying the specified smoothness, Lorentzian, field-equation and initial-data formulas. Hence these codes form a set. This size assertion does not prove field-equation existence, maximality or uniqueness, and makes no proper-class representative choice.

Depends on

Dependency tree · 2 levels

Sources