In mathematics, the Stolarsky mean is a generalization of the logarithmic mean. It was introduced by Kenneth B. Stolarsky in 1975.[1]
For two positive real numbers x, y the Stolarsky Mean is defined as:
\begin{align} Sp(x,y) &=\lim(\xi,η)\to(x,y)\left({
\xip-ηp | |
p(\xi-η) |
It is derived from the mean value theorem, which states that a secant line, cutting the graph of a differentiable function
f
(x,f(x))
(y,f(y))
\xi
[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)
f(x)=xp
\limp\toSp(x,y)
S-1(x,y)
\limp\toSp(x,y)
f(x)=lnx
S | ||||
|
(x,y)
1 | |
2 |
\limp\toSp(x,y)
f(x)=x ⋅ lnx
S2(x,y)
S3(x,y)=QM(x,y,GM(x,y))
\limp\toinftySp(x,y)
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)
f(x)=xp