The scalar relaxation for the xi-footrule lower bound #
The two values minimize a strictly convex weighted quadratic under a uniform-mean constraint. The proof uses an exact quadratic remainder.
theorem
Verification.jensen_optimal_gap
(μ : ℝ)
(hμ : μ ∈ Set.Icc 0 2)
(v : ↑unitInterval)
(a b : ℝ)
(ha : a ∈ Set.Icc 0 1)
(hb : b ∈ Set.Icc 0 1)
(hm : ↑v * a + (1 - ↑v) * b = ↑v)
:
↑v * (a - jensenLow μ v) ^ 2 + (1 - ↑v) * (b - jensenHigh μ v) ^ 2 ≤ splitObjective μ (↑v) a b - splitObjective μ (↑v) (jensenLow μ v) (jensenHigh μ v)
theorem
Verification.jensen_optimal_eq_iff
(μ : ℝ)
(hμ : μ ∈ Set.Icc 0 2)
(v : ↑unitInterval)
(hv : 0 < ↑v ∧ ↑v < 1)
(a b : ℝ)
(ha : a ∈ Set.Icc 0 1)
(hb : b ∈ Set.Icc 0 1)
(hm : ↑v * a + (1 - ↑v) * b = ↑v)
:
splitObjective μ (↑v) a b = splitObjective μ (↑v) (jensenLow μ v) (jensenHigh μ v) ↔ a = jensenLow μ v ∧ b = jensenHigh μ v