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.
Radially ordered operator product expansion
Definition
Fix a selected mathematical radial model on an open coordinate patch , with dimensionless coordinates and . Write with the compact-support test-function topology, and let be the common complex field domain, with algebraic dual . A weak field is a linear map whose coefficients are continuous in for every ; this is the supplied primary-field convention, without requiring that be primary. Such fields have neither point evaluations nor composable operator products by definition.
Set and . Work in a specified open simply connected region on which the chosen coefficient branches exist. In a weak realization the model additionally supplies a two-insertion product linear with continuous scalar coefficients, and separately the reversed product on a specified region in . The notation on denotes this product distribution, not composition of weak fields. Numerical weak coefficients may be used only where the model supplies smooth functions representing it, meaning . Alternatively a purely formal realization supplies fields as coefficient arrays with endomorphisms of a common complex vector space , and a specified iterated generalized-power series space in which the products and re-expansions used are well defined coefficientwise. Formal products mean coefficientwise composition on , not evaluation at points; every coefficient sum must be finite or have a separately specified convergence meaning. A formal realization alone asserts no weak realization. If both are used, their scalar coefficient compatibility must be supplied. Larger-radius factors stand on the left; the ungraded reversed order is , while a graded model must specify its interchange sign. Equal radii have no order unless the model declares one.
Choose a label space , a specified indexed spanning family in each summand, and an associated field for each label. The full index set is , including descendant and multiplicity labels; it is not the set of all vectors in . Coefficients , normalizations and branches are supplied data, without an assertion of unique coefficients for a redundant spanning family. In a Hilbert realization, also specify a closed channel sector and vectors assigned to the labels. The family is complete for this channel when . Neither existence of such a family nor a state assignment is inferred from weak fields alone.
The schematic OPE is In a weak realization require on the chosen branch. Each individual term is the well-defined distribution Here the smooth product , for , is extended by zero to before integration; thus and the map is continuous. No multiplication of two distributions is involved. Let for finite in this realization, or the corresponding formal partial sum. Finite subsets are directed by inclusion. The notation alone selects no meaning for the sum; the model declares the following meaning or meanings separately.
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Formal OPE: equality coefficient by coefficient in the specified iterated generalized-power series space on the declared branch or line bundle (ordinary Laurent distributions are the integer-power special case). The sum over must be defined coefficientwise in that space; no numerical convergence is implied.
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Asymptotic OPE: the model supplies a directed family of finite partial sums, a normed or seminormed target, and representatives of the product minus the partial sum in that target, together with real orders . For each fixed , require as in a declared approach region within . This pointwise version requires the stated representatives. A distributional version instead specifies test functions approaching the diagonal, their normalization and support scaling, and requires as for each ; the seminorm is on the declared space of smeared outputs.
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Hilbert-convergent OPE: the model supplies a fused-pair vector and coefficient-weighted term vectors at every allowed pair, or after an explicitly specified smearing. For every such fixed configuration the net converges in Hilbert norm to . These vector assignments, their relation to the field labels and coefficients, and their insertion domains are additional data, not point evaluation of weak fields.
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Weakly convergent correlator OPE: in a weak realization require for each declared . In a Hilbert correlator realization, specify a set of finite-norm complementary states , an overlap order, and scalar compatibility: the correlator equals and its th OPE term equals . Require for each such state and fixed allowed configuration. With the supplied first-argument-linear inner product, either or may be declared; the latter conjugates scalar coefficients in . Unsmeared scalar assertions require the separately supplied scalar or vector representatives just described.
When coefficient functions contain complex powers, their branch or line-bundle data are part of the selected model and are fixed on the simply connected radial configuration region being used. For a two-dimensional global-conformal decomposition, a block is the subseries obtained by grouping all descendants assigned to one intermediate global-conformal primary label ; these blocks are the global-conformal (quasi-primary-family) blocks and are not full Virasoro blocks unless that stronger grouping is separately supplied. This definition distinguishes formal, asymptotic, Hilbert, and scalar-correlator convergence; it asserts none of them for a particular theory.
Definition references
Remarks
A source may provide a formal OPE or a source-reported convergence result without proving its hypotheses in the selected model. A local theorem that uses the Hilbert or weak-correlator meaning must state the finite-norm, completeness, coefficient/state, and insertion-separation hypotheses explicitly.