Definition:Convex Real Function
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This page is about convex real function. For other uses, see convex.
Definition
Let $f$ be a real function which is defined on a real interval $I$.
Definition 1
$f$ is convex on $I$ if and only if:
- $\forall x, y \in I: \forall \alpha, \beta \in \R_{>0}, \alpha + \beta = 1: \map f {\alpha x + \beta y} \le \alpha \map f x + \beta \map f y$
Definition 2
$f$ is convex on $I$ if and only if:
- $\forall x_1, x_2, x_3 \in I: x_1 < x_2 < x_3: \dfrac {\map f {x_2} - \map f {x_1} } {x_2 - x_1} \le \dfrac {\map f {x_3} - \map f {x_2} } {x_3 - x_2}$
Definition 3
$f$ is convex on $I$ if and only if:
- $\forall x_1, x_2, x_3 \in I: x_1 < x_2 < x_3: \dfrac {\map f {x_2} - \map f {x_1} } {x_2 - x_1} \le \dfrac {\map f {x_3} - \map f {x_1} } {x_3 - x_1}$
Convex at Point
Let $a \in I$ be a point in the domain of $f$.
Then:
- $f$ is convex at $a$
- there exists a neighborhood of $a$ on which $f$ is convex.
Vector Space
Let $\GF \in \set {\R, \C}$.
Let $X$ be a vector space over $\GF$.
Let $C \subseteq X$ be a convex set.
Let $f: C \to \overline \R$ be an extended real-valued function.
We say that $f$ is convex if and only if:
- $\map f {t x + \paren {1 - t} y} \le t \map f x + \paren {1 - t} \map f y$ for each $t \in \openint 0 1$ and $x, y \in C$
whenever $\set {\map f x, \map f y} \ne \set {-\infty, \infty}$.
Geometric Interpretation
Let $f$ be a convex real function.
Then:
- for every pair of points $A$ and $B$ on the graph of $f$, the chord $AB$ lies entirely above the graph.
Examples
Square Function
The square function:
- $\forall x \in \R: \map f x = x^2$
is a convex real function.
Also known as
A convex function can also be referred to as:
Also see
- Results about convex real functions can be found here.