“Quasi-arithmetic mean”的意思、由来-开放百科全书

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Quasi-arithmetic mean

释义

Definition
Examples
Properties
Homogeneity
References
See also

In mathematics and statistics, the quasi-arithmetic mean or generalised f-mean is one generalisation of the more familiar means such as the arithmetic mean and the geometric mean, using a function . It is also called Kolmogorov mean after Russian mathematician Andrey Kolmogorov. It is a broader generalization than the regular generalized mean.

Definition

If f is a function which maps an interval of the real line to the real numbers, and is both continuous and injective, the f-mean of numbers

is defined as

We require f to be injective in order for the inverse function to exist. Since is defined over an interval, lies within the domain of .

Since f is injective and continuous, it follows that f is a strictly monotonic function, and therefore that the f-mean is neither larger than the largest number of the tuple nor smaller than the smallest number in .

Examples

If = ℝ, the real line, and , (or indeed any linear function , not equal to 0) then the f-mean corresponds to the arithmetic mean.
If = ℝ⁺, the positive real numbers and , then the f-mean corresponds to the geometric mean. According to the f-mean properties, the result does not depend on the base of the logarithm as long as it is positive and not 1.
If = ℝ⁺ and , then the f-mean corresponds to the harmonic mean.
If = ℝ⁺ and , then the f-mean corresponds to the power mean with exponent .
If = ℝ and , then the f-mean is the mean in the log semiring, which is a constant shifted version of the LogSumExp (LSE) function (which is the logarithmic sum), . The corresponds to dividing by {{mvar|n}}, since logarithmic division is linear subtraction. The LogSumExp function is a smooth maximum: a smooth approximation to the maximum function.

Properties

Partitioning: The computation of the mean can be split into computations of equal sized sub-blocks.

Subsets of elements can be averaged a priori, without altering the mean, given that the multiplicity of elements is maintained.

With it holds

The quasi-arithmetic mean is invariant with respect to offsets and scaling of :

.

If is monotonic, then is monotonic.
Any quasi-arithmetic mean of two variables has the mediality property and the self-distributivity property . Moreover, any of those properties is essentially sufficient to characterize quasi-arithmetic means; see Aczél–Dhombres, Chapter 17.
Any quasi-arithmetic mean of two variables has the balancing property . An interesting problem is whether this condition (together with fixed-point, symmetry, monotonicity and continuity properties) implies that the mean is quasi-arithmetic. Georg Aumann showed in the 1930s that the answer is no in general,^[1] but that if one additionally assumes to be an analytic function then the answer is positive.^[2]
Under regularity conditions, a central limit theorem can be derived for the generalised f-mean, thus implying that for a large sample is approximately normal.^[3]

Homogeneity

Means are usually homogeneous, but for most functions , the f-mean is not.

Indeed, the only homogeneous quasi-arithmetic means are the power means and the geometric mean; see Hardy–Littlewood–Pólya, page 68.

The homogeneity property can be achieved by normalizing the input values by some (homogeneous) mean .

However this modification may violate monotonicity and the partitioning property of the mean.

References

1. ^{{cite journal|last=Aumann|first=Georg|title=Vollkommene Funktionalmittel und gewisse Kegelschnitteigenschaften|journal=Journal für die reine und angewandte Mathematik|year=1937|volume=176|pages=49–55|doi=10.1515/crll.1937.176.49}}
2. ^{{cite journal|last=Aumann|first=Georg|title=Grundlegung der Theorie der analytischen Analytische Mittelwerte|journal=Sitzungsberichte der Bayerischen Akademie der Wissenschaften|year=1934|pages=45–81}}
3. ^{{cite journal|last=de Carvalho|first=Miguel|title=Mean, what do you Mean?|journal=The American Statistician|year=2016|volume=70|pages=764‒776|doi=10.1080/00031305.2016.1148632}}

Aczél, J.; Dhombres, J. G. (1989) Functional equations in several variables. With applications to mathematics, information theory and to the natural and social sciences. Encyclopedia of Mathematics and its Applications, 31. Cambridge Univ. Press, Cambridge, 1989.
Andrey Kolmogorov (1930) “On the Notion of Mean”, in “Mathematics and Mechanics” (Kluwer 1991) — pp. 144–146.
Andrey Kolmogorov (1930) Sur la notion de la moyenne. Atti Accad. Naz. Lincei 12, pp. 388–391.
John Bibby (1974) “Axiomatisations of the average and a further generalisation of monotonic sequences,” Glasgow Mathematical Journal, vol. 15, pp. 63–65.
Hardy, G. H.; Littlewood, J. E.; Pólya, G. (1952) Inequalities. 2nd ed. Cambridge Univ. Press, Cambridge, 1952.

Definition

Examples

Properties

Homogeneity

References

See also