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TauCeti.MeasureTheory.Measure.Lebesgue.BrunnMinkowski.Basic

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 #

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∞.