Logarithmic mean

{{Short description|Difference of two numbers divided by the logarithm of their quotient}}

{{distinguish|text=the log-average formulation of the geometric mean or the mean in the log semiring}}

{{Refimprove|date=April 2009}}

Image:Logarithmic mean 3D plot from 0 to 100.png

In mathematics, the logarithmic mean is a function of two non-negative numbers which is equal to their difference divided by the logarithm of their quotient.

This calculation is applicable in engineering problems involving heat and mass transfer.

Definition

The logarithmic mean is defined by

:

M_\text{lm}(x, y)

=

\left \{ \begin{array}{l l}

x, & \text{if }x = y,\\

\dfrac{x - y}{\ln x - \ln y}, & \text{otherwise},

\end{array}

\right .

for x, y \in \mathbb{R}.

Inequalities

The logarithmic mean of two numbers is smaller than the arithmetic mean and the generalized mean with exponent greater than 1. However, it is larger than the geometric mean and the harmonic mean, respectively. The inequalities are strict unless both numbers are equal.

{{cite journal

| author=B. C. Carlson

| title=Some inequalities for hypergeometric functions

| journal=Proc. Amer. Math. Soc.

| volume=17 | year=1966 | pages=32–39

| doi=10.1090/s0002-9939-1966-0188497-6

| doi-access=free

}}

{{cite journal

| author1=B. Ostle | author2=H. L. Terwilliger | name-list-style=amp

| title=A comparison of two means

| journal=Proc. Montana Acad. Sci.

| volume=17 | year=1957 | pages=69–70

}}

{{cite journal

| author1=Tung-Po Lin

| title=The Power Mean and the Logarithmic Mean

| journal=The American Mathematical Monthly

| year=1974

| volume=81| issue=8

| pages=879–883

| doi=10.1080/00029890.1974.11993684

}}

{{cite journal

| author1=Frank Burk

| title=The Geometric, Logarithmic, and Arithmetic Mean Inequality

| journal=The American Mathematical Monthly

| year=1987

| volume=94| issue=6

| pages=527–528

| doi=10.2307/2322844

| jstor=2322844

}}

More precisely, for x, y \in \mathbb{R} with x \neq y, we have

\frac{2xy}{x + y}

\leq

\sqrt{x y} \leq \frac{x - y}{\ln x - \ln y}

\leq

\frac{x + y}{2}

\leq

\left(\frac{x^2+y^2}2\right)^{1/2}.

Sharma{{cite journal

| author=T. P. Sharma

| title=A generalisation of the Arithmetic-Logarithmic-Geometric Mean Inequality

| journal=Parabola Magazine

| volume=58 | issue=2 | year=2022 | pages=25–29

| doi=10.1090/s0002-9939-1966-0188497-6

| doi-access=free

}} showed that, for any whole number n and x, y \in \mathbb{R} with x \neq y, we have

\sqrt{xy}\ \left( \ln \sqrt{xy} \right)^{n-1} \left(n + \ln \sqrt{xy}\right)

\leq \frac{x(\ln x)^n - y(\ln y)^n}{\ln x - \ln y}

\leq \frac{x(\ln x)^{n-1} (n + \ln x) + y(\ln y)^{n-1} (n + \ln y)} {2}.

This generalizes the arithmetic-logarithmic-geometric mean inequality.

To see this, consider the case where n = 0.

Derivation

= Mean value theorem of differential calculus =

From the mean value theorem, there exists a value {{mvar|ξ}} in the interval between {{mvar|x}} and {{mvar|y}} where the derivative {{mvar|f ′}} equals the slope of the secant line:

:\exists \xi \in (x, y): \ f'(\xi) = \frac{f(x) - f(y)}{x - y}

The logarithmic mean is obtained as the value of {{mvar|ξ}} by substituting {{math|ln}} for {{mvar|f}} and similarly for its corresponding derivative:

:\frac{1}{\xi} = \frac{\ln x - \ln y}{x-y}

and solving for {{mvar|ξ}}:

:\xi = \frac{x-y}{\ln x - \ln y}

= Integration =

The logarithmic mean can also be interpreted as the area under an exponential curve.

\begin{align}

L(x, y) ={} & \int_0^1 x^{1-t} y^t\ \mathrm{d}t

={} \int_0^1 \left(\frac{y}{x}\right)^t x\ \mathrm{d}t

={} x \int_0^1 \left(\frac y x\right)^t \mathrm{d}t \\[3pt]

={} & \left.\frac{x}{\ln\frac y x} \left(\frac{y}{x}\right)^t\right|_{t=0}^1

={} \frac{x}{\ln\frac y x} \left(\frac{y}{x} - 1\right)

={} \frac{y - x}{\ln\frac y x} \\[3pt]

={} & \frac{y - x}{\ln y - \ln x}

\end{align}

The area interpretation allows the easy derivation of some basic properties of the logarithmic mean. Since the exponential function is monotonic, the integral over an interval of length 1 is bounded by {{mvar|x}} and {{mvar|y}}. The homogeneity of the integral operator is transferred to the mean operator, that is L(cx, cy) = cL(x, y).

Two other useful integral representations are{1 \over L(x,y)} = \int_0^1 {\operatorname{d}\!t \over t x + (1-t)y}and{1 \over L(x,y)} = \int_0^\infty {\operatorname{d}\!t \over (t+x)\,(t+y)}.

Generalization

= Mean value theorem of differential calculus =

One can generalize the mean to {{math|n + 1}} variables by considering the mean value theorem for divided differences for the {{mvar|n}}-th derivative of the logarithm.

We obtain

:L_\text{MV}(x_0,\, \dots,\, x_n) = \sqrt[-n]{(-1)^{n+1} n \ln\left(\left[x_0,\, \dots,\, x_n\right]\right)}

where \ln\left(\left[x_0,\, \dots,\, x_n\right]\right) denotes a divided difference of the logarithm.

For {{math|1=n = 2}} this leads to

:L_\text{MV}(x, y, z) = \sqrt{\frac{(x-y)(y-z)(z-x)}{2 \bigl((y-z) \ln x + (z-x) \ln y + (x-y) \ln z \bigr)}}.

= Integral =

The integral interpretation can also be generalized to more variables, but it leads to a different result. Given the simplex S with S = \{\left(\alpha_0,\, \dots,\, \alpha_n\right) : \left(\alpha_0 + \dots + \alpha_n = 1\right) \land \left(\alpha_0 \ge 0\right) \land \dots \land \left(\alpha_n \ge 0\right)\} and an appropriate measure \mathrm{d}\alpha which assigns the simplex a volume of 1, we obtain

:L_\text{I}\left(x_0,\, \dots,\, x_n\right) = \int_S x_0^{\alpha_0} \cdot \,\cdots\, \cdot x_n^{\alpha_n}\ \mathrm{d}\alpha

This can be simplified using divided differences of the exponential function to

:L_\text{I}\left(x_0,\, \dots,\, x_n\right) = n! \exp\left[\ln\left(x_0\right),\, \dots,\, \ln\left(x_n\right)\right].

Example {{math|1=n = 2}}:

:L_\text{I}(x, y, z) = -2 \frac{x(\ln y - \ln z) + y(\ln z - \ln x) + z(\ln x - \ln y)}

{(\ln x - \ln y)(\ln y - \ln z)(\ln z - \ln x)}.

Connection to other means

  • Arithmetic mean: \frac{L\left(x^2, y^2\right)}{L(x, y)} = \frac{x + y}{2}
  • Geometric mean: \sqrt{\frac{L\left(x, y\right)}{L\left( \frac{1}{x}, \frac{1}{y} \right)}} = \sqrt{x y}
  • Harmonic mean: \frac{ L\left( \frac{1}{x}, \frac{1}{y} \right) }{L\left( \frac{1}{x^2}, \frac{1}{y^2} \right)} = \frac{2}{\frac{1}{x}+\frac{1}{y}}

See also

References

;Citations

{{Reflist}}

;Bibliography

  • [https://web.archive.org/web/20060215011645/http://jipam-old.vu.edu.au/v4n4/088_03.html Oilfield Glossary: Term 'logarithmic mean']
  • {{mathworld|Arithmetic-Logarithmic-GeometricMeanInequality|Arithmetic-Logarithmic-Geometric-Mean Inequality}}
  • {{Cite journal |last=Stolarsky |first=Kenneth B. |date=1975 |title=Generalizations of the Logarithmic Mean |url=https://www.jstor.org/stable/2689825 |journal=Mathematics Magazine |volume=48 |issue=2 |pages=87–92 |doi=10.2307/2689825 |jstor=2689825 |issn=0025-570X|url-access=subscription }}

Mean

Category:Means