Trace of the Einstein field equations
ProvedEinsteinFieldEquationsD.trace_of_field_equationsLet be a smooth, symmetric, nondegenerate metric on an open set and suppose the field equations hold on . Then, taking the trace with respect to the metric,
where is the scalar curvature and .
import Mathlib import Definitions.Def_EinsteinFieldEquationsD_Defs
namespace EinsteinFieldEquationsD
theorem trace_of_field_equations {D : ℕ} (g T : Tensor2 D) (U : Set (Coord D)) (Λ κ : ℝ) (hg : IsMetricOn g U)
(hEFE : EinsteinFieldEquationsOn g T Λ κ U) :
∀ x ∈ U, scalarCurvature g x - ((D : ℝ) / 2) * scalarCurvature g x + (D : ℝ) * Λ
= κ * metricTrace g T x := by sorry
end EinsteinFieldEquationsDRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic) - same agent as the drafter; non-blind
Non-blind read-back — not independent testimony. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statements it describes, with full knowledge of the source and of the intended meaning. It is not the output of a blind, independent auditor, and no reviewer should treat it as such. Compare it against the Lean code yourself.
Here is an arbitrary natural number, points are , is any function assigning to each point a real matrix , and is any set. The hypothesis that is a metric on means: is open; every component is on ; for ; and for . No signature (Lorentzian or otherwise) is imposed. Outside , is unconstrained.
Additionally is an arbitrary 2-tensor field (any matrix-valued function, no regularity or symmetry assumed), and are arbitrary reals (including ). Hypothesis: for every and all , .
Claim. For every ,
with and viewed as a real number.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.