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support function : ウィキペディア英語版
support function
In mathematics, the support function ''h''''A'' of a non-empty closed convex set ''A'' in \mathbb^n
describes the (signed) distances of supporting hyperplanes of ''A'' from the origin. The support function is a convex function on \mathbb^n.
Any non-empty closed convex set ''A'' is uniquely determined by ''h''''A''. Furthermore, the support function, as a function of the set ''A'' is compatible with many natural geometric operations, like scaling, translation, rotation and Minkowski addition.
Due to these properties, the support function is one of the most central basic concepts in convex geometry.
==Definition==
The support function h_A\colon\mathbb^n\to\mathbb
of a non-empty closed convex set ''A'' in \mathbb^n is given by
: h_A(x)=\sup\,
x\in\mathbb^n; see
〔T. Bonnesen, W. Fenchel, '' Theorie der konvexen Körper,'' Julius Springer, Berlin, 1934.
English translation: ''Theory of convex bodies,'' BCS Associates, Moscow, ID, 1987.〕
〔R. J. Gardner, ''Geometric tomography,'' Cambridge University Press, New York, 1995. Second edition: 2006.〕
.〔R. Schneider, ''Convex bodies: the Brunn-Minkowski theory,'' Cambridge University Press, Cambridge, 1993.〕 Its interpretation is most intuitive when ''x'' is a unit vector:
by definition, ''A'' is contained in the closed half space
: \
and there is at least one point of ''A'' in the boundary
: H(x)= \
of this half space. The hyperplane ''H''(''x'') is therefore called a ''supporting hyperplane''
with ''exterior'' (or ''outer'') unit normal vector ''x''.
The word ''exterior'' is important here, as
the orientation of ''x'' plays a role, the set ''H''(''x'') is in general different from ''H''(-''x'').
Now ''h''''A'' is the (signed) distance of ''H''(''x'') from the origin.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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