In mathematics, the Lehmer mean of a tuple x {\displaystyle x} of positive real numbers, named after Derrick Henry Lehmer, is defined as:
L p ( x ) = ∑ k = 1 n x k p ∑ k = 1 n x k p − 1 . {\displaystyle L_{p}(\mathbf {x} )={\frac {\sum _{k=1}^{n}x_{k}^{p}}{\sum _{k=1}^{n}x_{k}^{p-1}}}.}
The weighted Lehmer mean with respect to a tuple w {\displaystyle w} of positive weights is defined as:
L p , w ( x ) = ∑ k = 1 n w k ⋅ x k p ∑ k = 1 n w k ⋅ x k p − 1 . {\displaystyle L_{p,w}(\mathbf {x} )={\frac {\sum _{k=1}^{n}w_{k}\cdot x_{k}^{p}}{\sum _{k=1}^{n}w_{k}\cdot x_{k}^{p-1}}}.}
The Lehmer mean is an alternative to power means for interpolating between minimum and maximum via arithmetic mean and harmonic mean.
Properties The derivative of p ↦ L p ( x ) {\displaystyle p\mapsto L_{p}(\mathbf {x} )} is non-negative
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