Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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.

Matrix exponential as the Lie-group exponential

Example

Assume ACω. Let G be a matrix Lie group, meaning an embedded Lie subgroup of GLn(R), and identify g=TIG with its image in Mn(R). Then

expG(X)=eX:=k=0Xkk!(Xg).

In particular, the ordinary matrix exponential of every Xg belongs to G.

Facts & Assumptions

Given: The embedded Lie subgroup GGLn(R) and XTIG.

[F1]

The Lie exponential is the time-one value of the one-parameter subgroup with initial velocity X. Exponential map of a Lie group.

[F2]

The scalar exponential series has infinite radius of convergence. The exponential series converges absolutely for every real argument.

[F3]

Linear matrix initial-value problems have unique solutions on each compact interval. Linear matrix ODEs have unique global solutions on a fixed interval.

[F4]

Matrix multiplication and the identity matrix have their usual coordinate definitions. Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes.

[F5]

The construction of [F1] carries the stated countable-choice assumption. The Axiom of Countable Choice (ACω).

Verification

technique · direct comparison of two matrix ODEs
1.1

Suppose first that n1 and put A=maxi,jaij. The row-by-column formula [F4] gives ABnAB, and hence Xknk1Xk for k1. Thus [F2] dominates the matrix series and its termwise derivative uniformly on every compact t-interval by scalar exponential series. Consequently, for E(t)=k0tkXk/k!, termwise differentiation is valid for every real t, and [F4] gives E(t)=XE(t)=E(t)X and E(0)=I. When n=0 this is the constant identity curve directly.

F2F4algebra
2.1

Let γX:RG be the subgroup from [F1], viewed as a matrix curve. Its velocity at t is the left translate of X, so γX(t)=γX(t)X and γX(0)=I. Transposing gives (γXT)=XTγXT. Step 1.1 likewise gives (ET)=XTET with E(0)T=I. On every compact interval containing zero, [F3] makes these transposed solutions equal. Thus γX(t)=E(t) for all tR.

F1F3step 1.1
3.1

Evaluating step 2.1 at t=1 proves the displayed formula and, because γX(1)G, also proves eXG. For n=0 both sides are the identity of the one-point group, and for X=0 both equal I; no invertibility or spectral hypothesis on X is used. The parameter is global, so t=1 is not an endpoint issue. This is an equality, not an iff claim. ACω is used exactly through [F1]; the series and ODE comparison add no choice.

F1F2F3F5step 2.1

Depends on

Used by

Dependency tree · two levels

28 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