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Logarithmically convex function : ウィキペディア英語版
Logarithmically convex function
In mathematics, a function ''f'' defined on a convex subset of a real vector space and taking positive values is said to be logarithmically convex or superconvex〔Kingman, J.F.C. 1961. A convexity property of positive matrices. Quart. J. Math. Oxford (2) 12,283-284.〕 if \circ f, the composition of the logarithmic function with ''f'', is a convex function. In effect the logarithm drastically slows down the growth of the original function f, so if the composition still retains the convexity property, this must mean that the original function f was 'really convex' to begin with, hence the term superconvex.
A logarithmically convex function ''f'' is a convex function since it is the composite of the increasing convex function \exp and the function \log\circ f, which is supposed convex. The converse is not always true: for example g: x\mapsto x^2 is a convex function, but \circ g: x\mapsto \log x^2 = 2 \log |x| is not a convex function and thus g is not logarithmically convex. On the other hand, x\mapsto e^ is logarithmically convex since x\mapsto \log e^ = x^2 is convex. An important example of a logarithmically convex function is the gamma function on the positive reals (see also the Bohr–Mollerup theorem).
==References==

* John B. Conway. ''Functions of One Complex Variable I'', second edition. Springer-Verlag, 1995. ISBN 0-387-90328-3.
* Stephen Boyd and Lieven Vandenberghe. ''Convex Optimization''. Cambridge University Press, 2004. ISBN 9780521833783.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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