Supporting hyperplane

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A convex set (in pink), a supporting hyperplane of (the dashed line), and the half-space delimited by the hyperplane which contains (in light blue).

In geometry, a supporting hyperplane of a set in Euclidean space is a hyperplane that has both of the following two properties:

Here, a closed half-space is the half-space that includes the points within the hyperplane.

Supporting hyperplane theorem

A convex set can have more than one supporting hyperplane at a given point on its boundary.

This theorem states that if is a convex set in the topological vector space and is a point on the boundary of then there exists a supporting hyperplane containing If ( is the dual space of , is a nonzero linear functional) such that for all , then

defines a supporting hyperplane.[1]

Conversely, if is a closed set with nonempty interior such that every point on the boundary has a supporting hyperplane, then is a convex set.[1]

The hyperplane in the theorem may not be unique, as noticed in the second picture on the right. If the closed set is not convex, the statement of the theorem is not true at all points on the boundary of as illustrated in the third picture on the right.

The supporting hyperplanes of convex sets are also called tac-planes or tac-hyperplanes.[2]

A related result is the separating hyperplane theorem, that every two disjoint convex sets can be separated by a hyperplane.

See also

A supporting hyperplane containing a given point on the boundary of may not exist if is not convex.


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  2. Cassels, John W. S. (1997), An Introduction to the Geometry of Numbers, Springer Classics in Mathematics (reprint of 1959[3] and 1971 Springer-Verlag ed.), Springer-Verlag.
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