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Quasi-concave function : ウィキペディア英語版
Quasiconvex function

In mathematics, a quasiconvex function is a real-valued function defined on an interval or on a convex subset of a real vector space such that the inverse image of any set of the form (-\infty,a) is a convex set. Informally, along any stretch of the curve the highest point is one of the endpoints. The negative of a quasiconvex function is said to be quasiconcave.
All convex functions are also quasiconvex, but not all quasiconvex functions are convex, so quasiconvexity is a generalization of convexity. Quasiconvexity and quasiconcavity extend to functions with multiple arguments the notion of unimodality of functions with a single real argument.
==Definition and properties==

A function f:S \to \mathbb defined on a convex subset ''S'' of a real vector space is quasiconvex if for all x, y \in S and \lambda \in () we have
: f(\lambda x + (1 - \lambda)y)\leq\max\big\.
In words, if ''f'' is such that it is always true that a point directly between two other points does not give a higher value of the function than both of the other points do, then ''f'' is quasiconvex. Note that the points ''x'' and ''y'', and the point directly between them, can be points on a line or more generally points in ''n''-dimensional space.

An alternative way (see introduction) of defining a quasi-convex function f(x) is to require that each sub-levelset
S_\alpha(f) = \
is a convex set.
If furthermore
: f(\lambda x + (1 - \lambda)y)<\max\big\
for all x \neq y and \lambda \in (0,1), then f is strictly quasiconvex. That is, strict quasiconvexity requires that a point directly between two other points must give a lower value of the function than one of the other points does.
A quasiconcave function is a function whose negative is quasiconvex, and a strictly quasiconcave function is a function whose negative is strictly quasiconvex. Equivalently a function f is quasiconcave if
: f(\lambda x + (1 - \lambda)y)\geq\min\big\.
and strictly quasiconcave if
: f(\lambda x + (1 - \lambda)y)>\min\big\
A (strictly) quasiconvex function has (strictly) convex lower contour sets, while a (strictly) quasiconcave function has (strictly) convex upper contour sets.
A function that is both quasiconvex and quasiconcave is quasilinear.
A particular case of quasi-concavity, if S \subset \mathbb, is unimodality, in which there is a locally maximal value.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Quasiconvex function」の詳細全文を読む



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