# Concavity

(Redirected from Concave)

In mathematical analysis, concavity is a property of certain geometric figures, and in calculus, a property of certain graphs of functions.

## Concave functions

In calculus, a differentiable function f is convex on an interval if its derivative function f ′ is increasing on that interval: a convex function has an increasing slope. Similarly, a differentiable function f is concave on an interval if its derivative function f ′ is decreasing on that interval: a concave function has a decreasing slope.

A function that is convex is often synonymously called concave upwards, and a function that is concave is often synonymously called concave downward.

For a twice-differentiable function f, if the second derivative, f ''(x), is positive (or, if the acceleration is positive), then the graph is convex (or concave upward); if the second derivative is negative, then the graph is concave (or concave downward). Points where concavity changes are inflection points.

If a convex (i.e., concave upward) function has a "bottom", any point at the bottom is a minimal extremum. If a concave (i.e., concave downward) function has an "apex", any point at the apex is a maximal extremum.

Contrary to the impression one may get from a calculus course, differentiability is not essential to these concepts; see convex.

In mathematics, a function f(x) is said to be concave on an interval [a, b] if, for all x,y in [a, b],

[itex]\forall t\in[0,1],\ \ f(tx + (1-t)y) \geq tf(x) + (1-t)f(y).[itex]

Additionally, [itex]f(x)[itex] is strictly concave if

[itex]\forall t\in[0,1],\ \ f(tx + (1-t)y) > tf(x) + (1-t)f(y).[itex]

A continuous function on C is concave if and only if

[itex]f\left( \frac{x+y}2 \right) \ge \frac{f(x)+f(y)}2 .[itex]

for any x and y in C.

Equivalently, f(x) is concave on [a, b] iff the function −f(x) is convex on every subinterval of [a, b].

If f(x) is twice-differentiable, then f(x) is concave iff f ′′(x) is non-positive. If its second derivative is negative then it is strictly concave, but the opposite is not true, as shown by f(x) = -x4.

A function is called quasiconcave iff there is an [itex]x_0[itex] such that for all [itex]xx_0[itex] it is non-increasing. [itex]x_0[itex] can also be [itex]+(-) \infty[itex], making the function non-decreasing (non-increasing) for all [itex]x[itex]. The opposite of quasiconcave is quasiconvex.

## Concave polygons

In a concave polygon, some interior angle will be greater than 180°. The extension at that vertex of the line segment making up a side will pass through the interior of the polygon.

An example of a concave polygon

A concave polygon is often called re-entrant polygon (but in some cases the latter term has a different meaning).

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