Concave function

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In mathematics, a concave function is the negative of a convex function.

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[edit] Definition

Formally, a real-valued function f defined on an interval (or on any convex set C of some vector space) is called concave, if for any two points x and y in its domain C and any t in [0,1], we have

f(tx+(1-t)y)\geq t f(x)+(1-t)f(y).

Also, f(x) is concave on [a, b] if and only if the function −f(x) is convex on [a, b].

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

A function is called strictly concave if

f(tx + (1-t)y) > t f(x) + (1-t)f(y)\,

for any t in (0,1) and xy.

A continuous function on C is concave if and only if

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

for any x and y in C.

A differentiable function f is concave on an interval if its derivative function f ′ is monotonically decreasing on that interval: a concave function has a decreasing slope. ("Decreasing" here means "non-increasing", rather than "strictly decreasing", and thus allows zero slopes.)

[edit] Properties

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; if f ′′(x) is negative, then the graph is concave. 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.

If f(x) is twice-differentiable, then f(x) is concave if and only if 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 if and only if there is an x0 such that for all x < x0, f(x) is non-decreasing while for all x > x0 it is non-increasing. x0 can also be \pm \infty, making the function non-decreasing (non-increasing) for all x. Also, a function f is called quasiconvex if and only if −f is quasiconcave.

[edit] Examples

  • The function f(x) = − x2 is concave, as its second derivative is always negative.
  • Any constant function f(x) = c is both concave and convex.
  • The function f(x) = sinx is concave on any interval of the form [2\pi n, 2\pi n+\pi],\, where n is an integer.

[edit] See also