`BookProof.ChapterSoftmaxDivergence.deriv_meanScore_eq_fisherInformation` (beta : ℝ) (s : Fin m → ℝ) (i : Fin m) : deriv (fun b : ℝ => meanScore b s) beta = fisherInformation beta
ProvedBookProof.ChapterSoftmaxDivergence.deriv_meanScore_eq_fisherInformationtheoremstimepiece
Prove the following Lean 4 theorem from ChapterSoftmaxDivergence.
BookProof.ChapterSoftmaxDivergence.deriv_meanScore_eq_fisherInformation (beta : ℝ) (s : Fin m → ℝ) (i : Fin m) : deriv (fun b : ℝ => meanScore b s) beta = fisherInformation beta s
Formalization note: Lean 4 identifier BookProof.ChapterSoftmaxDivergence.deriv_meanScore_eq_fisherInformation.
Preamble
-- Generated from ChapterSoftmaxDivergence.lean — theorem BookProof.ChapterSoftmaxDivergence.deriv_meanScore_eq_fisherInformation
import Definitions.Def_ChapterAttentionEntropy
import Definitions.Def_ChapterSoftmaxSharpness
import Mathlib
import Definitions.Def_ChapterSoftmaxDivergence
import Definitions.Def_ChapterSoftmaxFluctuation
open BookProof.ChapterSoftmaxDivergence
open scoped BigOperators
noncomputable section
open BookProof.ChapterAttentionEntropy BookProof.ChapterSoftmaxSharpness
open BookProof.ChapterSoftmaxFluctuation
variable {m : ℕ}Formal statement
theorem BookProof.ChapterSoftmaxDivergence.deriv_meanScore_eq_fisherInformation (beta : ℝ) (s : Fin m → ℝ) (i : Fin m) :
deriv (fun b : ℝ => meanScore b s) beta = fisherInformation beta s := by sorry