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geometry, concavity is a property of certain geometric figures, and in calculus, a property of certain graphs of functions. In calculus, a differentiable function is concave upward if the derivative, f ′(x) (of the function, f(x) being graphed) is increasing upon an interval; a twice-differentiable function is concave downward if the derivative is decreasing.
Contrary to the impression one may get from a calculus course, differentiability is not essential to these concepts; see convex.
In other words, if the second derivative, f ''(x), is positive (or, if the acceleration is positive); then, the graph is concave upward; if the second derivative is negative; then, the graph is concave downward. Points where concavity changes are inflection points.
The "bottom" of a concave downward slope will have a point known as the minimal extremum; the "apex" of a concave upward slope will have a point known as the maximal extremum.
In mathematics, a function f(x) is said to be concave on an interval [a, b] if, for all x,y in [a, b],
This is equivalent to
Additionally, <math>f(x)<math> is strictly concave if
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 differentiable, then f(x) is concave iff f ′(x) is monotone decreasing.
If f(x) is twice-differentiable, then f(x) is concave iff f ′′(x) is negative.
In a concave polygon, some angle will be greater than 180°. The extension at that vertx of the line segment making up a side will pass through the interior of the polygon.
A concave polygon is also called re-entrant.
See also: convex