Math 2.0

Functional analysis Definition

Extreme point

Builds on Vector spaceConvex set

Definition

Let XX be a vector space over ℝ\R or ℂ\C, and let K⊆XK \subseteq X be a convex set. A point x∈Kx \in K is an extreme point of KK if, whenever x=ty+(1−t)zx = t y + (1 - t) z with y,z∈Ky, z \in K and 0<t<10 < t < 1, one has y=z=xy = z = x. The set of extreme points of KK is written ext⁡K\operatorname{ext} K.

Remarks

In ℝ2\R^2, let K=[0,1]2K = [0, 1]^2. The corner (0,0)(0, 0) is extreme: if (0,0)=ty+(1−t)z(0, 0) = t y + (1 - t) z with y,z∈Ky, z \in K and 0<t<10 < t < 1, then each coordinate is a combination of nonnegative numbers with positive weights equal to 00, so y=z=(0,0)y = z = (0, 0). The point (1/2,0)(1/2, 0) is not extreme, because it is the midpoint of (0,0)(0, 0) and (1,0)(1, 0), which lie in KK and differ from it. Equivalently, xx is extreme when xx is not the midpoint of two distinct points of KK. An open ball in a nonzero normed space has no extreme points. The closed unit ball of the sequence space c0c_0 also has no extreme points.

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  1. Convex set concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Extreme_point
About this page
TagVNV54MAN67
URIm2://VNV54MAN67
Kinddefinition
WritingW0 stub
MSC46A55, 52A07
DefinesExtreme point
UsesVector space, Convex set
Changed2 November 2026

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