mixed volume

In mathematics, more specifically, in convex geometry, the mixed volume is a way to associate a non-negative number to a tuple of convex bodies in \mathbb{R}^n. This number depends on the size and shape of the bodies, and their relative orientation to each other.

Definition

Let K_1, K_2, \dots, K_r be convex bodies in \mathbb{R}^n and consider the function

: f(\lambda_1, \ldots, \lambda_r)

= \mathrm{Vol}_n (\lambda_1 K_1 + \cdots + \lambda_r K_r), \qquad \lambda_i \geq 0,

where \text{Vol}_n stands for the n-dimensional volume, and its argument is the Minkowski sum of the scaled convex bodies K_i. One can show that f is a homogeneous polynomial of degree n, so can be written as

: f(\lambda_1, \ldots, \lambda_r)

= \sum_{j_1, \ldots, j_n = 1}^r V(K_{j_1}, \ldots, K_{j_n})

\lambda_{j_1} \cdots \lambda_{j_n},

where the functions V are symmetric. For a particular index function j \in \{1,\ldots,r\}^n , the coefficient V(K_{j_1}, \dots, K_{j_n}) is called the mixed volume of K_{j_1}, \dots, K_{j_n}.

Properties

  • The mixed volume is uniquely determined by the following three properties:

V(K, \dots, K) =\text{Vol}_n (K);

  1. V is symmetric in its arguments;
  2. V is multilinear:

V(\lambda K + \lambda' K', K_2, \dots, K_n) = \lambda V(K, K_2, \dots, K_n)

+ \lambda' V(K', K_2, \dots, K_n) for

\lambda,\lambda' \geq 0.

  • The mixed volume is non-negative and monotonically increasing in each variable:

V(K_1, K_2, \ldots, K_n) \leq V(K_1', K_2, \ldots, K_n) for

K_1 \subseteq K_1'.

:: V(K_1, K_2, K_3, \ldots, K_n) \geq \sqrt{V(K_1, K_1, K_3, \ldots, K_n) V(K_2,K_2, K_3,\ldots,K_n)}.

:Numerous geometric inequalities, such as the Brunn–Minkowski inequality for convex bodies and Minkowski's first inequality, are special cases of the Alexandrov–Fenchel inequality.

Quermassintegrals

Let K \subset \mathbb{R}^n be a convex body and let B = B_n \subset \mathbb{R}^n be the Euclidean ball of unit radius. The mixed volume

: W_j(K) = V(\overset{n-j \text{ times}}{\overbrace{K,K, \ldots,K}}, \overset{j \text{ times}}{\overbrace{B,B,\ldots,B}})

is called the j-th quermassintegral of K.{{cite journal|mr=1089383|last=McMullen|first=Peter|authorlink=Peter McMullen|title=Inequalities between intrinsic volumes|journal=Monatshefte für Mathematik|volume=111|year=1991|issue=1|pages=47–53|doi=10.1007/bf01299276|doi-access=free}}

The definition of mixed volume yields the Steiner formula (named after Jakob Steiner):

: \mathrm{Vol}_n(K + tB)

= \sum_{j=0}^n \binom{n}{j} W_j(K) t^j.

=Intrinsic volumes=

The j-th intrinsic volume of K is a different normalization of the quermassintegral, defined by

: V_j(K) = \binom{n}{j} \frac{W_{n-j}(K)}{\kappa_{n-j}}, or in other words \mathrm{Vol}_n(K + tB) = \sum_{j=0}^n V_j(K)\, \mathrm{Vol}_{n-j}(tB_{n-j}) = \sum_{j=0}^n V_j(K)\,\kappa_{n-j}t^{n-j}.

where \kappa_{n-j} = \text{Vol}_{n-j} (B_{n-j}) is the volume of the (n-j)-dimensional unit ball.

=Hadwiger's characterization theorem=

{{main|Hadwiger's theorem}}

Hadwiger's theorem asserts that every valuation on convex bodies in \mathbb{R}^n that is continuous and invariant under rigid motions of \mathbb{R}^n is a linear combination of the quermassintegrals (or, equivalently, of the intrinsic volumes).{{cite journal|mr=1376731|last=Klain|first=Daniel A.|title=A short proof of Hadwiger's characterization theorem|journal=Mathematika|volume=42|year=1995|issue=2|pages=329–339|doi=10.1112/s0025579300014625}}

Notes

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