Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-16
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.

Formally, (I−xA)−1=∑n≥0Anxn over every commutative coefficient ring

Statement

Let R be a commutative ring, let p∈N, and let A∈Mp(R). In the matrix ring Mp(R⟦x⟧),

(Ip−xA)−1=∑n≥0Anxn.

The matrix series is defined entrywise. The identity is formal, including p=0, and uses no norm, convergence, or spectral-radius hypothesis.

Facts & Assumptions

Given: A commutative ring R, a size p∈N, and a matrix A∈Mp(R).

[L1]

Formal series are coefficient functions with Cauchy product [xn](fg)=∑i=0n[xi]f[xn−i]g (Formal power series over a commutative ring and the coefficient-extraction functional [xn]).

[L2]

Cauchy multiplication makes R⟦x⟧ a commutative ring containing R[x] (Cauchy multiplication makes R⟦x⟧ a commutative ring containing R[x] as the finitely supported subring).

[L3]

Matrix products use finite row-column sums and Ip is the identity matrix (Entrywise ring-matrix operations, rectangular matrix products, identity matrices and transpose).

[L4]

Matrix multiplication is associative and distributive, including zero-sized shapes (Matrix arithmetic over a commutative ring is associative, unital and distributive, and transpose reverses products).

Proof

technique · direct
1.1givenL1L2L3L4

Define S=∑n≥0Anxn entrywise. The constant coefficient of (Ip−xA)S is Ip, and for every n≥1 its coefficient is An−AAn−1=0.

1.2givenL1L2L3L4

The same coefficient calculation on the other side gives the constant coefficient Ip and positive coefficient An−An−1A=0 for S(Ip−xA).

2.1step 1.1step 1.2L1∎

Coefficient extensionality makes both products equal to Ip, so S is the two-sided inverse of Ip−xA. For p=0 all matrices are the unique empty matrix and the same identity holds.

Depends on

Used by

Dependency tree · two levels

12 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources