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Carathéodory's theorem (convex hull) : ウィキペディア英語版
Carathéodory's theorem (convex hull)

:''See also Carathéodory's theorem (disambiguation) for other meanings''
In convex geometry Carathéodory's theorem states that if a point ''x'' of R''d'' lies in the convex hull of a set ''P'', there is a subset ′ of ''P'' consisting of ''d'' + 1 or fewer points such that ''x'' lies in the convex hull of ′. Equivalently, ''x'' lies in an ''r''-simplex with vertices in ''P'', where r \leq d. The result is named for Constantin Carathéodory, who proved the theorem in 1911 for the case when ''P'' is compact. In 1914 Ernst Steinitz expanded Carathéodory's theorem for any sets ''P'' in Rd.
For example, consider a set ''P'' = which is a subset of R2. The convex hull of this set is a square. Consider now a point ''x'' = (1/4, 1/4), which is in the convex hull of ''P''. We can then construct a set = ′, the convex hull of which is a triangle and encloses ''x'', and thus the theorem works for this instance, since |′| = 3. It may help to visualise Carathéodory's theorem in 2 dimensions, as saying that we can construct a triangle consisting of points from ''P'' that encloses any point in ''P''.
==Proof==

Let ''x'' be a point in the convex hull of ''P''. Then, ''x'' is a convex combination of a finite number of points in ''P'' :
:\mathbf=\sum_^k \lambda_j \mathbf_j
where every ''x''j is in ''P'', every ''λ''j is non-negative, and \sum_^k\lambda_j=1.
Suppose ''k'' > ''d'' + 1 (otherwise, there is nothing to prove). Then, the points ''x''2 − ''x''1, ..., ''x''''k'' − ''x''1 are linearly dependent,
so there are real scalars ''μ''2, ..., ''μ''''k'', not all zero, such that
:\sum_^k \mu_j (\mathbf_j-\mathbf_1)=\mathbf.
If ''μ''1 is defined as
:\mu_1:= -\sum_^k \mu_j
then
:\sum_^k \mu_j \mathbf_j=\mathbf
:\sum_^k \mu_j=0
and not all of the μ''j'' are equal to zero. Therefore, at least one ''μ''j > 0. Then,
:\mathbf = \sum_^k \lambda_j \mathbf_j-\alpha\sum_^k \mu_j \mathbf_j = \sum_^k (\lambda_j-\alpha\mu_j) \mathbf_j
for any real ''α''. In particular, the equality will hold if ''α'' is defined as
: \alpha:=\min_ \left\:\mu_j>0\right\}=\tfrac.
Note that ''α'' > 0, and for every ''j'' between 1 and ''k'',
:\lambda_j-\alpha\mu_j \geq 0.
In particular, ''λ''''i'' − ''αμ''''i'' = 0 by definition of ''α''. Therefore,
:\mathbf = \sum_^k (\lambda_j-\alpha\mu_j) \mathbf_j
where every \lambda_j - \alpha \mu_j is nonnegative, their sum is one , and furthermore, \lambda_i-\alpha\mu_i=0. In other words, ''x'' is represented as a convex combination of at most ''k''-1 points of ''P''. This process can be repeated until ''x'' is represented as a convex combination of at most ''d'' + 1 points in ''P''.
An alternative proof uses Helly's theorem.

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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