One-dimensional Prékopa–Leindler inequality on ℝ (lower-integral form)
ProvedConvexOptimization.prekopa_leindler_real_lineconvexanalysisconvexoptimizationlog-concavitymeasure-theory
Let , and let be measurable. Assume that for every ,
Then their lower Lebesgue integrals satisfy
This is the canonical real-coordinate form of the one-dimensional Prékopa–Leindler inequality. It isolates the analytic core from any particular finite-dimensional Euclidean-space representation, making it reusable under measure-preserving linear coordinate changes.
Formalization Note Function values and integrals lie in the extended nonnegative reals, so is permitted. Scalar multiplication on expresses the affine interpolation in the same form used by general real modules.
Preamble
import Mathlib open scoped RealInnerProductSpace ENNReal open MeasureTheory
Formal statement
theorem ConvexOptimization.prekopa_leindler_real_line
(l : ℝ) (hl0 : 0 < l) (hl1 : l < 1)
(f g h : ℝ → ℝ≥0∞)
(hf : Measurable f) (hg : Measurable g) (hh : Measurable h)
(hple : ∀ x y : ℝ,
f x ^ (1 - l) * g y ^ l ≤ h ((1 - l) • x + l • y)) :
(∫⁻ x, f x) ^ (1 - l) * (∫⁻ x, g x) ^ l ≤ ∫⁻ x, h x := by sorrySource
Richard J. Gardner, The Brunn-Minkowski Inequality: A Survey with Proofs, https://faculty.gardner.wwu.edu/gorizia12.pdf, Theorem 4.1 (pp. 6–8); András Prékopa, On logarithmic concave measures and functions, Acta Sci. Math. 34 (1973), 335–343, https://rutcor.rutgers.edu/Prekopa/pdf/SCIENT2.pdf, §2, equations (2.1)–(2.2), for the arbitrary-weight extended-integral formulation; András Prékopa, Logarithmic concave measures with application to stochastic programming, Acta Sci. Math. 32 (1971), 301–316, https://acta.bibl.u-szeged.hu/14319/1/math_032_fasc_003_004_301-316.pdf, Theorem 1 (pp. 303–308), for the measurable half-weight case with infinite integrals explicitly permitted.