Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedverified 2026-11-05 (gpt-6.1-sol)
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.

Reflection-positive Euclidean field data

Definition

Use the two-dimensional hierarchy and bilinear distribution-pairing convention defined earlier on this page. Write Euclidean coordinates as (t,x)∈R2, set O+={(t,x):t>0}, and let ϑ(t,x)=(−t,x). For n≥1, let Dsym(O+n) be the smooth compactly supported complex test functions on O+n invariant under permutations of their n two-dimensional argument blocks; set the degree-zero test space to C. The reflection of a degree-m test function is the antilinear map (Θfm)(z1,…,zm)=fm(ϑz1,…,ϑzm)‾,Θf0=f0‾.

For a finite family F=(a0,f0;…;aN,fN) with aj∈C and fj∈Dsym(O+j) (using f0∈C), define QS(F)=∑j,k=0Naj‾ak Sj+k(Θfj⊗fk). The tensor Θfj⊗fk is a compactly supported smooth test function on (R2)j+k; for j+k=0 the term means S0f0‾f0. The hierarchy is reflection-positive on the positive-time test algebra when QS(F)∈[0,∞) for every such finite family. This scalar form is conjugate-linear in its first polynomial variable and linear in its second; when expressed using the imported convention that an inner product is linear in its first variable, the corresponding form is obtained by reversing the two arguments. No quotient or Hilbert-space completion is asserted here.

Reflection positivity is only this positivity condition. Euclidean covariance, block symmetry, clustering, regularity, and any linear-growth hypothesis remain distinct clauses; this definition alone is not an Osterwalder–Schrader reconstruction theorem.

Depends on

Dependency tree · 2 levels

Sources