: the normal density is the derivative of the normal distribution function
ProvedBlackScholesModel.stdNormalCDF_hasDerivAtLet be the standard normal distribution function and the standard normal density. Then for every real , is differentiable at and
This justifies the notation used throughout the Black–Scholes formulas, in particular in the Greeks.
import Mathlib import Definitions.Def_BlackScholesModel_Core open Real MeasureTheory ProbabilityTheory Filter Topology open scoped ContDiff
namespace BlackScholesModel
theorem stdNormalCDF_hasDerivAt (x : ℝ) :
HasDerivAt stdNormalCDF (stdNormalPDF x) x := by sorry
end BlackScholesModelRead-back
What the Lean code literally says, in plain math · Aristotle (Harmonic)
Non-blind read-back. This read-back was written by the same agent that drafted the Lean statement (at the explicit instruction of the proposal owner), not by an independent blind auditor. It is not independent testimony; reviewers should compare it against the Lean code themselves.
For every real number : the function (defined in the definition file) is differentiable at , and its derivative there equals , the closed-form expression that the definition file calls the normal density . There are no hypotheses.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.