Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: 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.

The phi-function family by everywhere-convergent series

Definition

Use the first-variable-linear standard inner product on Cn and its norm ∥x∥2=∑i<n∣xi∣2 from The standard formulas ⟨x,y⟩=∑k<nxkyk on Rn and ∑k<nxkyk‾ on Cn are inner products and The norm ∥v∥=⟨v,v⟩ induced by a real or complex inner product. The matrix norm ∥X∥2 is the operator norm of the linear map x↦Xx in The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||. On C0={0} this operator norm is 0, as specified in that definition.

For each integer k≥0, define the scalar phi function and its finite-matrix action by

φk(z):=∑j=0∞zj(j+k)!,φk(X):=∑j=0∞Xj(j+k)!.

Here z∈C, X∈Mn(C), n≥0, X0=In, and factorials are the usual positive integer factorials. The scalar and matrix phi series converge absolutely ↗ establishes that both series converge absolutely for every such input, so these expressions define values on their full stated domains. By the published power-series definition The complex exponential by its power series, φ0(z)=exp⁡z; for matrices, φ0(X) is the bounded-operator exponential series of The exponential series of a bounded operator.

At zero, the series gives φk(0)=1/k! and φk(0n×n)=In/k! for every n≥0. For n≥1, only the j=0 matrix term can be nonzero. For n=0, The vector space Mm×n(F):=F m×n of m by n matrices over a field, with entrywise operations and Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes identify I0 with the unique empty matrix 00×0; every power Xj and every partial sum is that matrix. Thus φk(00×0)=I0/k!=00×0, including k=0.

The recurrence is always interpreted as a series identity, including at zero; division by z is not part of this definition.

Depends on

Used by

Dependency tree · two levels

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Sources