Brunn–Minkowski in finite-dimensional Euclidean spaces #
The Brunn–Minkowski inequality bounds the outer volume of a Minkowski sum from below by the sum of the dimension roots of the input volumes. We work with Lebesgue-measurable sets and do not require their sum to be measurable. Nonemptiness is retained even when an input has zero volume.
The multiplicative formulation bounds the volume of a convex combination by a weighted geometric mean of volumes. The additive formulation bounds its dimension root by a weighted sum of dimension roots, for arbitrary nonnegative coefficients. Real-valued versions assume finite outer volume of the weighted sum. These inequalities support convex isoperimetric estimates and concavity of outer parallel volumes.
If the r-neighbourhood of a set G lies in a set F of finite volume, Brunn–Minkowski
bounds the volume of F \ G from below by n |G|^(1 - 1/n) ω_n^(1/n) r, where
ω_n = volume (ball 0 1) (TauCeti.finrank_mul_rpow_pow_mul_le_volume_real_sub). This is the
shell estimate behind the isoperimetric inequality. The isoperimetric constant
n^n ω_n |s|^(n-1) is the n-th power of n ω_n^(1/n) |s|^(1 - 1/n)
(TauCeti.finrank_pow_mul_volume_ball_mul_volume_pow_eq_ofReal).
References #
- R. J. Gardner, The Brunn–Minkowski inequality, Bull. Amer. Math. Soc. 39 (2002), 355–405, for the deduction from Prékopa–Leindler by indicators and rescaling.
The multiplicative Brunn–Minkowski inequality, with outer volume on the right. The weight is strictly between zero and one; input volumes may be zero or infinite.
Weighted Brunn–Minkowski inequality with arbitrary nonnegative coefficients.
It includes the convex-combination weights 1 - θ, θ for every θ ∈ [0,1].
Zero coefficients and infinite input volumes use extended multiplication 0 * ∞ = 0.
Brunn–Minkowski inequality for nonempty Lebesgue-measurable sets in a positive-dimensional real inner product space. The sum has its outer volume and need not be measurable or have finite volume.
Real-valued weighted Brunn–Minkowski inequality. Only the weighted sum is required to have finite outer volume: an input with zero coefficient may have infinite volume.
Real-valued Brunn–Minkowski inequality. The sum's outer volume must be finite; this implies finiteness of both input volumes.
Brunn–Minkowski for a shell. If the r-neighbourhood G + ball 0 r of a nonempty
null-measurable set G lies in a set F of finite volume, then in dimension n ≥ 1
volume F - volume G ≥ n (volume G ^ (1 / n)) ^ (n - 1) r ω_n ^ (1 / n).
The isoperimetric bound n^n ω_n |s|^(n-1) for a set s of finite volume is the n-th
power of the real quantity n ω_n^(1/n) |s|^(1 - 1/n), read in ℝ≥0∞.