Stolarsky mean explained

In mathematics, the Stolarsky mean is a generalization of the logarithmic mean. It was introduced by Kenneth B. Stolarsky in 1975.[1]

Definition

For two positive real numbers xy the Stolarsky Mean is defined as:

\begin{align} Sp(x,y) &=\lim(\xi,η)\to(x,y)\left({

\xipp
p(\xi)
}\right)^ \\[10pt]& = \beginx & \textx=y \\\left(\right)^ & \text\end\end

Derivation

It is derived from the mean value theorem, which states that a secant line, cutting the graph of a differentiable function

f

at

(x,f(x))

and

(y,f(y))

, has the same slope as a line tangent to the graph at some point

\xi

in the interval

[x,y]

.

\exists\xi\in[x,y]f'(\xi)=

f(x)-f(y)
x-y

The Stolarsky mean is obtained by

\xi=\left[f'\right]-1\left(

f(x)-f(y)
x-y

\right)

when choosing

f(x)=xp

.

Special cases

\limp\toSp(x,y)

is the minimum.

S-1(x,y)

is the geometric mean.

\limp\toSp(x,y)

is the logarithmic mean. It can be obtained from the mean value theorem by choosing

f(x)=lnx

.
S
1
2

(x,y)

is the power mean with exponent
1
2
.

\limp\toSp(x,y)

is the identric mean. It can be obtained from the mean value theorem by choosing

f(x)=xlnx

.

S2(x,y)

is the arithmetic mean.

S3(x,y)=QM(x,y,GM(x,y))

is a connection to the quadratic mean and the geometric mean.

\limp\toinftySp(x,y)

is the maximum.

Generalizations

One can generalize the mean to n + 1 variables by considering the mean value theorem for divided differences for the nth derivative.One obtains

Sp(x0,...,xn)={f(n)

}^(n!\cdot f[x_0,\dots,x_n]) for

f(x)=xp

.

See also

Notes and References

  1. 0302.26003 . Stolarsky . Kenneth B. . Generalizations of the logarithmic mean . . 48 . 87–92 . 1975 . 2 . 0025-570X . 2689825 . 10.2307/2689825.