Call Theta
ProvedBlackScholesModel.call_thetaLet , , , and . Then the call price is differentiable in time at , and
import Mathlib import Definitions.Def_BlackScholesModel_Core open Real MeasureTheory ProbabilityTheory Filter Topology open scoped ContDiff
namespace BlackScholesModel
theorem call_theta (K r σ T S t : ℝ) (hK : 0 < K) (hσ : 0 < σ) (hS : 0 < S) (ht : t < T) :
HasDerivAt (fun t' => callPrice K r σ T S t')
(-(S * stdNormalPDF (dPlus S K r σ (T - t)) * σ) / (2 * Real.sqrt (T - t))
- r * K * Real.exp (-r * (T - t)) * stdNormalCDF (dMinus S K r σ (T - t))) t := 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.
Here are arbitrary real numbers subject to the hypotheses , , and (so ); is unrestricted (it may be zero or negative). , , , , are the functions of the companion definition file (normal distribution function given by its integral, normal density in closed form, , call price , put price ).
The theorem asserts that is differentiable at with derivative
with evaluated at the point and .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.