The Prékopa–Leindler inequality #
Following Terence Tao's blog post on the Brunn–Minkowski inequality, this file
proves the Prékopa–Leindler inequality on ℝⁿ (with n = d + 1). The proof
proceeds by reducing to the one-dimensional case via the layer-cake formula and
then induction on the dimension.
Brunn–Minkowski in one dimension when one of the sets has infinite volume.
Brunn–Minkowski in one dimension for measurable sets.
The volume of the superlevel set {x | t ≤ f x} is measurable in t.
Layer-cake formula on (0, 1) for functions bounded by 1.
Prékopa–Leindler in one dimension assuming sup norm 1.
Prékopa–Leindler in one dimension assuming bounded sup norm. This removes the
sup norm 1 assumption of prekopa_leindler_1d_normalized by scaling.
Prékopa–Leindler in one dimension. This removes the boundedness assumption of
prekopa_leindler_1d_bounded using an approximation argument.
append · t is measurable in its first argument.
fix of a measurable function is measurable.
The hypotheses of the Prékopa–Leindler inequality bundled together.
Equations
- PLConditions n θ f g h = (0 < θ ∧ θ < 1 ∧ Measurable f ∧ Measurable g ∧ Measurable h ∧ ∀ (x y : Fin n → ℝ), f x ^ (1 - θ) * g y ^ θ ≤ h (x + y))
Instances For
Prékopa–Leindler for Fin 1 → ℝ (a small wrapper around prekopa_leindler_1d).
The Prékopa–Leindler inequality in arbitrary dimension, proved by induction over the dimension.