Sum of Convex Sets in Vector Space is Convex
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Theorem
Let $\Bbb F \in \set {\R, \C}$.
Let $X$ be a vector space over $\Bbb F$.
Let $A$ and $B$ be convex subsets of $X$.
Then:
- $A + B$ is convex.
Corollary
Let $\Bbb F \in \set {\R, \C}$.
Let $X$ be a vector space over $\Bbb F$.
Let $A$ and $B$ be convex subsets of $X$.
Let $\lambda, \mu \in \Bbb F$.
Then:
- $\lambda A + \mu B$ is convex.
Proof
Let $x, y \in A + B$ and $t \in \closedint 0 1$.
Then there exists $a, a' \in A$ and $b, b' \in B$ such that:
- $x = a + b$
and:
- $y = a' + b'$
Then:
\(\ds t x + \paren {1 - t} y\) | \(=\) | \(\ds t a + t b + \paren {1 - t} a' + \paren {1 - t} b'\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \paren {t a + \paren {1 - t} a'} + \paren {t b + \paren {1 - t} b'}\) |
Since $A$ and $B$ are convex, we have:
- $t a + \paren {1 - t} a' \in A$
and:
- $t b + \paren {1 - t} b' \in B$
so that:
- $t x + \paren {1 - t} y \in A + B$
So $A + B$ is convex.
$\blacksquare$