Slowly varying function

In real analysis, a branch of mathematics, a slowly varying function is a function of a real variable whose behaviour at infinity is in some sense similar to the behaviour of a function converging at infinity. Similarly, a regularly varying function is a function of a real variable whose behaviour at infinity is similar to the behaviour of a power law function (like a polynomial) near infinity. These classes of functions were both introduced by Jovan Karamata,[1][2] and have found several important applications, for example in probability theory.

Basic definitions

Definition 1. A function L : (0,+)  (0,+) is called slowly varying (at infinity) if for all a > 0,

\lim_{x \to \infty} \frac{L(ax)}{L(x)}=1.

Definition 2. A function L : (0,+)  (0,+) for which the limit

 g(a) = \lim_{x \to \infty} \frac{L(ax)}{L(x)}

is finite but nonzero for every a > 0, is called a regularly varying function.

These definitions are due to Jovan Karamata.[1][2]

Basic properties

Regularly varying functions have some important properties:[1] a partial list of them is reported below. More extensive analyses of the properties characterizing regular variation are presented in the monograph by Bingham, Goldie & Teugels (1987).

Uniformity of the limiting behaviour

Theorem 1. The limit in definitions 1 and 2 is uniform if a is restricted to a finite interval.

Karamata's characterization theorem

Theorem 2. Every regularly varying function f is of the form

f(x)=x^\beta L(x)

where

Note. This implies that the function g(a) in definition 2 has necessarily to be of the following form

g(a)=a^\rho

where the non negative real number ρ is called the index of regular variation.

Karamata representation theorem

Theorem 3. A function L is slowly varying if and only if there exists B > 0 such that for all x B the function can be written in the form

 L(x) = \exp \left( \eta(x) + \int_B^x \frac{\varepsilon(t)}{t} \,dt \right)

where

Examples

\lim_{x \to \infty} L(x) = b \in (0,\infty),
then L is a slowly varying function.

See also

Notes

References

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