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