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Young function

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In mathematics, certain functions useful in functional analysis are called Young functions.

A function θ : R [ 0 , ] {\displaystyle \theta :\mathbb {R} \to } is a Young function, if it is convex, even, lower semicontinuous, and non-trivial, in the sense that it is not the zero function x 0 {\displaystyle x\mapsto 0} , and it is not the convex dual of the zero function x { 0  if  x = 0 , +  else. {\displaystyle x\mapsto {\begin{cases}0{\text{ if }}x=0,\\+\infty {\text{ else.}}\end{cases}}}

A Young function is finite iff it does not take value {\displaystyle \infty } .

The convex dual of a Young function is denoted θ {\displaystyle \theta ^{*}} .

A Young function θ {\displaystyle \theta } is strict iff both θ {\displaystyle \theta } and θ {\displaystyle \theta ^{*}} are finite. That is, θ ( x ) x , as  x , {\textstyle {\frac {\theta (x)}{x}}\to \infty ,\quad {\text{as }}x\to \infty ,}

The inverse of a Young function is θ 1 ( y ) = inf { x : θ ( x ) > y } {\displaystyle \theta ^{-1}(y)=\inf\{x:\theta (x)>y\}}

The definition of Young functions is not fully standardized, but the above definition is usually used. Different authors disagree about certain corner cases. For example, the zero function x 0 {\displaystyle x\mapsto 0} might be counted as "trivial Young function". Some authors (such as Krasnosel'skii and Rutickii) also require lim x 0 θ ( x ) x = 0 {\displaystyle \lim _{x\downarrow 0}{\frac {\theta (x)}{x}}=0}

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