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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
editThe logarithmic mean is defined as:
for the positive numbers x, y.
Inequalities
editThe 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.
[1][2][3][4] Toyesh Prakash Sharma generalizes the arithmetic logarithmic geometric mean inequality for any n belongs to the whole number as
Now, for n = 0:
This is the arithmetic logarithmic geometric mean inequality. Similarly, one can also obtain results by putting different values of n as below
For n = 1:
for the proof go through the bibliography.
Derivation
editMean value theorem of differential calculus
editFrom the mean value theorem, there exists a value ξ in the interval between x and y where the derivative f ′ equals the slope of the secant line:
The logarithmic mean is obtained as the value of ξ by substituting ln for f and similarly for its corresponding derivative:
and solving for ξ:
Integration
editThe logarithmic mean can also be interpreted as the area under an exponential curve.
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 x and y. The homogeneity of the integral operator is transferred to the mean operator, that is .
Two other useful integral representations are and
Generalization
editMean value theorem of differential calculus
editOne can generalize the mean to n + 1 variables by considering the mean value theorem for divided differences for the n-th derivative of the logarithm.
We obtain
where denotes a divided difference of the logarithm.
For n = 2 this leads to
Integral
editThe integral interpretation can also be generalized to more variables, but it leads to a different result. Given the simplex with and an appropriate measure which assigns the simplex a volume of 1, we obtain
This can be simplified using divided differences of the exponential function to
- .
Example n = 2:
Connection to other means
editSee also
edit- A different mean which is related to logarithms is the geometric mean.
- The logarithmic mean is a special case of the Stolarsky mean.
- Logarithmic mean temperature difference
- Log semiring
References
edit- Citations
- ^ B. C. Carlson (1966). "Some inequalities for hypergeometric functions". Proc. Amer. Math. Soc. 17: 32–39. doi:10.1090/s0002-9939-1966-0188497-6.
- ^ B. Ostle & H. L. Terwilliger (1957). "A comparison of two means". Proc. Montana Acad. Sci. 17: 69–70.
- ^ Tung-Po Lin (1974). "The Power Mean and the Logarithmic Mean". The American Mathematical Monthly. 81 (8): 879–883. doi:10.1080/00029890.1974.11993684.
- ^ Frank Burk (1987). "The Geometric, Logarithmic, and Arithmetic Mean Inequality". The American Mathematical Monthly. 94 (6): 527–528. doi:10.2307/2322844. JSTOR 2322844.
- Bibliography
- Oilfield Glossary: Term 'logarithmic mean'
- Weisstein, Eric W. "Arithmetic-Logarithmic-Geometric-Mean Inequality". MathWorld.
- Stolarsky, Kenneth B. (1975). "Generalizations of the Logarithmic Mean". Mathematics Magazine. 48 (2): 87–92. doi:10.2307/2689825. ISSN 0025-570X.
- Toyesh Prakash Sharma.: https://www.parabola.unsw.edu.au/files/articles/2020-2029/volume-58-2022/issue-2/vol58_no2_3.pdf "A generalisation of the Arithmetic-Logarithmic-Geometric Mean Inequality, Parabola Magazine, Vol. 58, No. 2, 2022, pp 1–5