In
mathematics
Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, more specifically, in
convex geometry
In mathematics, convex geometry is the branch of geometry studying convex sets, mainly in Euclidean space. Convex sets occur naturally in many areas: computational geometry, convex analysis, discrete geometry, functional analysis, geometry of numbe ...
, the mixed volume is a way to associate a non-negative number to an of
convex bodies
In mathematics, a convex body in n-dimensional Euclidean space \R^n is a compact convex set with non-empty interior.
A convex body K is called symmetric if it is centrally symmetric with respect to the origin; that is to say, a point x lies in ...
in space. This number depends on the size and shape of the bodies and on their relative orientation to each other.
Definition
Let
be convex bodies in
and consider the function
:
where
stands for the
-dimensional volume and its argument is the
Minkowski sum
In geometry, the Minkowski sum (also known as dilation) of two sets of position vectors ''A'' and ''B'' in Euclidean space is formed by adding each vector in ''A'' to each vector in ''B'', i.e., the set
: A + B = \.
Analogously, the Minkowski ...
of the scaled convex bodies
. One can show that
is a
homogeneous polynomial
In mathematics, a homogeneous polynomial, sometimes called quantic in older texts, is a polynomial whose nonzero terms all have the same degree. For example, x^5 + 2 x^3 y^2 + 9 x y^4 is a homogeneous polynomial of degree 5, in two variables; t ...
of degree
, therefore it can be written as
:
where the functions
are symmetric. For a particular index function
, the coefficient
is called the mixed volume of
.
Properties
* The mixed volume is uniquely determined by the following three properties:
#
;
#
is symmetric in its arguments;
#
is multilinear:
for
.
* The mixed volume is non-negative and monotonically increasing in each variable:
for
.
* The Alexandrov–Fenchel inequality, discovered by
Aleksandr Danilovich Aleksandrov
Aleksandr Danilovich Aleksandrov (russian: Алекса́ндр Дани́лович Алекса́ндров, alternative transliterations: ''Alexandr'' or ''Alexander'' (first name), and ''Alexandrov'' (last name)) (4 August 1912 – 27 July 19 ...
and
Werner Fenchel
Moritz Werner Fenchel (; 3 May 1905 – 24 January 1988) was a mathematician known for his contributions to geometry and to optimization theory. Fenchel established the basic results of convex analysis and nonlinear optimization theor ...
:
::
: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
be a convex body and let
be the
Euclidean ball
A ball is a round object (usually spherical, but can sometimes be ovoid) with several uses. It is used in ball games, where the play of the game follows the state of the ball as it is hit, kicked or thrown by players. Balls can also be used f ...
of unit radius. The mixed volume
:
is called the ''j''-th quermassintegral of
.
The definition of mixed volume yields the Steiner formula (named after
Jakob Steiner
Jakob Steiner (18 March 1796 – 1 April 1863) was a Swiss mathematician who worked primarily in geometry.
Life
Steiner was born in the village of Utzenstorf, Canton of Bern. At 18, he became a pupil of Heinrich Pestalozzi and afterwards st ...
):
:
Intrinsic volumes
The ''j''-th intrinsic volume of
is a different normalization of the quermassintegral, defined by
:
or in other words
where
is the volume of the
-dimensional unit ball.
Hadwiger's characterization theorem
Hadwiger's theorem asserts that every
valuation on convex bodies in
that is continuous and invariant under rigid motions of
is a linear combination of the quermassintegrals (or, equivalently, of the intrinsic volumes).
Notes
External links
{{eom, id=Mixed-volume_theory, title=Mixed volume theory, first=Yu.D., last=Burago
Convex geometry
Integral geometry