Margin minimizer in the fitted interior-block cost
ProvedQAlgorithms.Papers.Independent.Intakethird100.P39.fitted_interior_minimizerLet be an integer. For integers , with , define the fitted interior-block cost
Then the feasible choice attains the minimum:
Here in the paper's application. The decimals define an exact rational surrogate for regression-based durations; this is not a theorem about optimal hardware time.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P39
namespace QAlgorithms.Papers.Independent.Intakethird100.P39
open scoped BigOperators
/-- PDF p.13, Eq. (35): for fixed S=km>=4, the feasible margin (S,1)
attains the minimum of the fitted cost. This is not optimal hardware time. -/
theorem fitted_interior_minimizer (S : ℕ) (hS : 4 ≤ S) :
∀ k m : ℕ, 4 ≤ k → 1 ≤ m → k * m = S →
fittedInteriorCost S 1 ≤ fittedInteriorCost k m := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P39
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What the Lean code literally says, in plain math · gpt-6.1-sol
For every natural number satisfying , and every pair of natural numbers satisfying , , and , the theorem asserts
All arithmetic in this displayed inequality is real arithmetic after converting the natural parameters to real numbers. The left side is the value of the same cost formula at . The conclusion is a non-strict inequality over precisely the factorizations satisfying the stated bounds; the allowed case forces and gives equality.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.