Eq. (34): AdS black-hole entropy grows like
ProvedGravityNonRenorm.ads_bh_entropy_eq34Let , and . For each mass let be the largest positive zero of the Schwarzschild–AdS metric function
and let . Then, as ,
This is Eq. (34): large AdS black holes have entropy growing like .
import Definitions.Def_GravityNonRenorm_Defs import Mathlib open GravityNonRenorm Filter Asymptotics
namespace GravityNonRenorm
theorem ads_bh_entropy_eq34 (d : ℕ) (hd : 3 ≤ d) (G RAdS : ℝ) (hG : 0 < G) (hRAdS : 0 < RAdS) :
(fun M : ℝ => adsBHEntropy d G M RAdS) =Θ[atTop]
(fun M : ℝ => M ^ (((d : ℝ) - 2) / ((d : ℝ) - 1))) := by sorry
end GravityNonRenorm
Read-back
What the Lean code literally says, in plain math · Aristotle (Harmonic)
Non-blind read-back — not independent testimony. This read-back was written by the same agent that drafted the Lean statement (at the explicit request of the proposal owner), not by a blind, independent auditor. The author knew the intended meaning and the source paper while writing it, so it must not be mistaken for independent testimony; reviewers should compare it against the Lean code themselves.
For every natural number and all reals , , the function is of as (exponent computed in the reals, real power). Unfolded, where is the real supremum of (value if that set is empty or unbounded). For the power is , so the defining equation becomes . Here as (Mathlib's IsTheta along atTop) means: there are constants and such that and for all .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.