Carathéodory's Theorem (Convex Analysis)
This proof is about Carathéodory's Theorem in the context of Convex Analysis. For other uses, see Carathéodory's Theorem.
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Theorem
Let $E \subset \R^l$.
Let $\mathbb x \in \map {\operatorname {conv} } E$, where $\map {\operatorname {conv} } E$ denotes the convex hull of $E$.
Then $\mathbf x$ is a convex combination of affinely independent points of $E$.
In particular, $\mathbf x$ is a convex combination of at most $l + 1$ points of $E$.
Proof
Since $\mathbb x \in \map {\operatorname {conv} } E$, $\mathbf x$ is a convex combination of points in $E$.
From the definition of convex combination:
- $\ds \mathbf x = \sum_{i \mathop = 1}^k \gamma_i \mathbf y_i$
with:
- $\gamma_i \ge 0$
- $\ds \sum_{i \mathop = 1}^k \gamma_i = 1$
and:
- $\mathbf y_i \in E$
Let $K \subset \N$ be the set of all possible $k$ such that $\mathbf x$ is a convex combination of $k$ elements of $E$.
By the Well-Ordering Principle, $K$ is well-ordered.
$K$ has a smallest element $k_s$ by the definition of well-ordered sets.
Suppose that the set $\set {\mathbf y_i: i \le k_s}$ is affinely dependent.
From the condition for affinely dependent set, there exists a set $\set {\alpha_i: i \le k_s}$ such that for some $\alpha_i > 0$:
- $\ds \sum_{i \mathop = 1}^{k_s} \alpha_i \mathbf y_i = 0$
and:
- $\ds \sum_{i \mathop = 1}^{k_s} \alpha_i = 0$
Pick the smallest $\dfrac {\gamma_j} {\alpha_j} > 0$.
Then:
- $\ds \mathbf x = \paren {\sum_{i \mathop = 1}^{k_s} \gamma_i \mathbf y_i} + 0 = \paren {\sum_{i \mathop = 1}^{k_s} \gamma_i \mathbf y_i} - \paren {\frac {\gamma_j} {\alpha_j} \sum_{i \mathop = 1}^{k_s} \alpha_i \mathbf y_i}$
Rearrange to get:
- $\ds \mathbf x = \paren {\sum_{i \mathop = 1}^{k_s} \paren {\gamma_i - \frac {\gamma_j} {\alpha_j} \alpha_i} \mathbf y_i}$
Since $\gamma_j > 0$ is made the smallest and $\alpha_j > 0$ is made the greatest:
- $\dfrac {\alpha_i} {\alpha_j} \gamma_j \le \gamma_j \le \gamma_i$
for all $i \le k_s$.
Thus:
- $\paren {\gamma_i - \dfrac {\gamma_j} {\alpha_j} \alpha_i} \ge 0$
For $i = j$:
- $\paren {\gamma_i - \dfrac {\gamma_j} {\alpha_j} \alpha_i} = 0$
For $i \ne j$, let:
- $\gamma'_{i'} \equiv \gamma_i - \dfrac {\gamma_j} {\alpha_j} \alpha_i$
We can express:
- $\ds x = \sum_{i' \mathop = 1}^{k_s-1} \gamma'_{i'} \mathbf y_i$
which contradicts the assumption that $k_s = \min K$.
This needs considerable tedious hard slog to complete it. In particular: It seems to intend to prove $k_s \le l + 1$ with affine independence of $\set {\mathbf y_i: i \le k_s}$. To discuss this page in more detail, feel free to use the talk page. When this work has been completed, you may remove this instance of {{Finish}} from the code.If you would welcome a second opinion as to whether your work is correct, add a call to {{Proofread}} the page. |
$\blacksquare$
Source of Name
This entry was named for Constantin Carathéodory.
Sources
- 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): Carathéodory's Theorem (C. Carathéodory, 1911)
- 2009: Dean Corbae, Maxwell B. Stinchcombe and Juraj Zeman: An Introduction to Mathematical Analysis for Economic Theory and Econometrics: $\S 5.4.b$ Theorem $5.4.13$
- 2013: Francis Clarke: Functional Analysis, Calculus of Variations and Optimal Control: $2.1$: Properties of convex sets