Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)
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.

Decorated finite-chain costs with catalysts

Definition

Let G be a set of tagged system types closed under finite composition T×T′ and positive scaling tT. Scaling is associative and acts componentwise on products: s(tT)=(st)T and t(T×T′)=(tT)×(tT′). Each type T has a nonempty state set XT of finite tagged compounds, every state in XT is represented by the coefficient-map interpretation of Forward-sector hypotheses for a simple state domain and has the fixed aggregate composition ν(a)=νT of its declared type, using the amount-function interpretation in Forward-sector hypotheses for a simple state domain, and has total coefficient mass m(T)=wT≥0, and νT×T′=νT+νT′, νtT=tνT, with m(T×T′)=m(T)+m(T′) and m(tT)=t m(T). Matching scalar masses alone do not identify aggregate composition. The entropy σT:XT→R is the finite additive extensive entropy from Calibration of an arbitrary family of simple-system entropies; in particular σtT(ta)=tσT(a).

For each pair of types prescribe the product map πT,T′:XT×XT′→XT×T′ by π(a,b)=a+b on represented coefficient maps, and require it to be surjective: XT×T′={a+b:a∈XT,b∈XT′}. Thus each product state admits a factorization, without requiring it to be unique. For t>0, prescribe the scaling bijection st,T:XT→XtT by st,T(a)=ta, with inverse coefficient scaling by 1/t. The type identifications and the precise commuting conditions are specified below. Require σT×T′(a+b)=σT(a)+σT′(b) and σtT(ta)=tσT(a); entropy is therefore independent of any nonunique product factorization. Include the formal empty unit type 1, with X1={0}, where 0 is the empty coefficient map, m(1)=0, σ1(0)=0, T×1=T, and t1=1. A transition edge from type T to type T′ is a pair a∈XT, b∈XT′ such that the underlying equal-mass compounds satisfy a≺b under Forward-sector hypotheses for a simple state domain. Thus an edge can exist only when m(T)=m(T′). Its cost is the finite real number σT′(b)−σT(a).

A decorated finite chain from Γ to Γ′ consists of a catalyst type C∈G, an integer N≥1, types T0=Γ×C,T1,…,TN=Γ′×C, and states ak∈XTk, bk+1∈XTk+1 with an edge ak≺bk+1 for every 0≤k<N. Its cost is the finite real sum

c=∑k=0N−1(σTk+1(bk+1)−σTk(ak)).

Define the ordered extended real line R‾=R∪{−∞,+∞} by placing −∞ below every real and +∞ above every real. Finite addition retains its usual meaning; a real added to either infinity leaves that infinity, and equal-sign infinities add to themselves. Opposite-sign infinite sums are undefined. Positive multiplication preserves each infinity, and negation exchanges the infinities. For a nonempty real set bounded below, its infimum is its greatest real lower bound; completeness ensures existence. Define F:G×G→R‾ by taking F(Γ,Γ′) as the infimum of all such witness costs. Set F=+∞ if there is no witness and F=−∞ if the witness costs are unbounded below. The infimum is over real witness costs, so no subtraction of extended-real infima is used. The structural identifications are product permutation and reassociation, T×1=T, 1T=T, s(tT)=(st)T, t(T×R)=(tT)×(tR) and t1=1. Their state maps are the identity on the corresponding represented coefficient maps: finite addition is commutative and associative, adds zero for the unit, and commutes with coefficient scaling. Thus the displayed product and scaling maps commute with these identifications, which preserve ν, m, σ and accessibility.

Additional reversible identifications, if used, are separate specified data: a set E⊆G2 of pairs (T,R) with νT=νR and, for each pair, a bijection rT,R:XT→XR such that σR(rT,R(a))=σT(a) and a∼rT,R(a) for every a∈XT. Include identity pairs with identity maps and close these data under inverse and composition, with rR,T=rT,R−1 and rR,H∘rT,R=rT,H. Require closure under positive scaling and product with another specified pair (D,H), with rtT,tR(ta)=trT,R(a) and rT×D,R×H(a+d)=rT,R(a)+rD,H(d). The latter must hold independently of every nonunique product factorization. These requirements give exactly the commuting product/scaling diagrams. They preserve aggregate composition and mass; replacing a state by its image preserves and reflects every comparison with any compound, by mutual accessibility, consistency and transitivity. Their maps and all structural maps must agree on overlapping identifications. One may take only the structural data, with no additional pairs. The calibration theorem does not supply additional identifications: these are hypotheses to check whenever chosen. Reversible equal-state splitting is an accessibility assertion; it does not identify every state of a product with a single unsplit state. The cost identities and inequalities require a separate proof.

Depends on

Dependency tree · 2 levels

Sources