Pythagorean means

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A geometric construction of the quadratic mean and the Pythagorean means (of two numbers a and b). Harmonic mean denoted by
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H, geometric by
G, arithmetic by
A and quadratic mean (also known as root mean square) denoted by
Q. MathematicalMeans.svg
A geometric construction of the quadratic mean and the Pythagorean means (of two numbers a and b). Harmonic mean denoted by   H, geometric by   G, arithmetic by   A and quadratic mean (also known as root mean square) denoted by   Q.
Comparison of the arithmetic, geometric and harmonic means of a pair of numbers. The vertical dashed lines are asymptotes for the harmonic means. Comparison Pythagorean means.svg
Comparison of the arithmetic, geometric and harmonic means of a pair of numbers. The vertical dashed lines are asymptotes for the harmonic means.

In mathematics, the three classical Pythagorean means are the arithmetic mean (AM), the geometric mean (GM), and the harmonic mean (HM). These means were studied with proportions by Pythagoreans and later generations of Greek mathematicians [1] because of their importance in geometry and music.

Contents

Definition

They are defined by:

Properties

Each mean, , has the following properties:

First-order homogeneity
Invariance under exchange
for any and .
Monotonicity
Idempotence

Monotonicity and idempotence together imply that a mean of a set always lies between the extremes of the set:

The harmonic and arithmetic means are reciprocal duals of each other for positive arguments,

while the geometric mean is its own reciprocal dual:

Inequalities among means

Geometric proof without words that max (a,b) > root mean square (RMS) or quadratic mean (QM) > arithmetic mean (AM) > geometric mean (GM) > harmonic mean (HM) > min (a,b) of two distinct positive numbers a and b QM AM GM HM inequality visual proof.svg
Geometric proof without words that max(a,b)> root mean square (RMS) or quadratic mean (QM)> arithmetic mean (AM)> geometric mean (GM)> harmonic mean (HM)>min(a,b) of two distinct positive numbers a and b

There is an ordering to these means (if all of the are positive)

with equality holding if and only if the are all equal.

This is a generalization of the inequality of arithmetic and geometric means and a special case of an inequality for generalized means. The proof follows from the arithmetic–geometric mean inequality, , and reciprocal duality ( and are also reciprocal dual to each other).

The study of the Pythagorean means is closely related to the study of majorization and Schur-convex functions. The harmonic and geometric means are concave symmetric functions of their arguments, and hence Schur-concave, while the arithmetic mean is a linear function of its arguments and hence is both concave and convex.

History

Almost everything that we know about the Pythagorean means came from arithmetic handbooks written in the first and second century. Nicomachus of Gerasa says that they were “acknowledged by all the ancients, Pythagoras, Plato and Aristotle.” [2] Their earliest known use is a fragment of the Pythagorean philosopher Archytas of Tarentum:

There are three means in music: one is arithmetic, second is the geometric, third is sub-contrary, which they call harmonic. The mean is arithmetic when three terms are in proportion such that the excess by which the first exceeds the second is that by which the second exceeds the third. In this proportion it turns out that the interval of the greater terms is less, but that of the lesser terms greater. The mean is the geometric when they are such that as the first is to the second, so the second is to the third. Of these terms the greater and the lesser have the interval between them equal. Subcontrary, which we call harmonic, is the mean when they are such that, by whatever part of itself the first term exceeds the second, by that part of the third the middle term exceeds the third. It turns out that in this proportion the interval between the greater terms is greater and that between the lesser terms is less. [3]

The name "harmonic mean", according to Iamblichus, was coined by Archytas and Hippasus. The Pythagorean means also appear in Plato's Timaeus. Another evidence of their early use is a commentary by Pappus.

It was […] Theaetetus who distinguished the powers which are commensurable in length from those which are incommensurable, and who divided the more generally known irrational lines according to the different means, assigning the medial lines to geometry, the binomial to arithmetic, and the apotome to harmony, as is stated by Eudemus, the Peripatetic. [4]

The term "mean" (μεσότης, mesótēs in Ancient Greek) appears in the Neopythagorean arithmetic handbooks in connection with the term "proportion" (ἀναλογία, analogía in Ancient Greek).[ citation needed ]

Smallest distinct positive integer means

abHMGMAM
54591525
1040162025

Of all pairs of different natural numbers of the form (a, b) such that a<b, the smallest (as defined by least value of a + b) for which the arithmetic, geometric and harmonic means are all also natural numbers are (5, 45) and (10, 40). [5]

See also

Notes

  1. If AC = a and BC = b. OC = AM of a and b, and radius r = QO = OG.
    Using Pythagoras' theorem, QC² = QO² + OC² QC = QO² + OC² = QM.
    Using Pythagoras' theorem, OC² = OG² + GC² GC = OC² OG² = GM.
    Using similar triangles, HC/GC = GC/OC HC = GC²/OC = HM.

Related Research Articles

In mathematics and statistics, the arithmetic mean, arithmetic average, or just the mean or average is the sum of a collection of numbers divided by the count of numbers in the collection. The collection is often a set of results from an experiment, an observational study, or a survey. The term "arithmetic mean" is preferred in some mathematics and statistics contexts because it helps distinguish it from other types of means, such as geometric and harmonic.

<span class="mw-page-title-main">Arithmetic–geometric mean</span> Mathematical function of two positive real arguments

In mathematics, the arithmetic–geometric mean of two positive real numbers x and y is the mutual limit of a sequence of arithmetic means and a sequence of geometric means. The arithmetic–geometric mean is used in fast algorithms for exponential, trigonometric functions, and other special functions, as well as some mathematical constants, in particular, computing π.

In statistics, a central tendency is a central or typical value for a probability distribution.

<span class="mw-page-title-main">Geometric mean</span> N-th root of the product of n numbers

In mathematics, the geometric mean is a mean or average which indicates a central tendency of a finite set of real numbers by using the product of their values. The geometric mean is defined as the nth root of the product of n numbers, i.e., for a set of numbers a1, a2, ..., an, the geometric mean is defined as

<span class="mw-page-title-main">Generalized mean</span> N-th root of the arithmetic mean of the given numbers raised to the power n

In mathematics, generalized means are a family of functions for aggregating sets of numbers. These include as special cases the Pythagorean means.

In mathematics, the harmonic mean is one of several kinds of average, and in particular, one of the Pythagorean means. It is sometimes appropriate for situations when the average rate is desired.

A mean is a numeric quantity representing the center of a collection of numbers and is intermediate to the extreme values of a set of numbers. There are several kinds of means in mathematics, especially in statistics. Each mean serves to summarize a given group of data, often to better understand the overall value of a given data set.

<span class="mw-page-title-main">Variance</span> Statistical measure of how far values spread from their average

In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation (SD) is obtained as the square root of the variance. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value. It is the second central moment of a distribution, and the covariance of the random variable with itself, and it is often represented by , , , , or .

<span class="mw-page-title-main">Log-normal distribution</span> Probability distribution

In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln(X) has a normal distribution. Equivalently, if Y has a normal distribution, then the exponential function of Y, X = exp(Y), has a log-normal distribution. A random variable which is log-normally distributed takes only positive real values. It is a convenient and useful model for measurements in exact and engineering sciences, as well as medicine, economics and other topics (e.g., energies, concentrations, lengths, prices of financial instruments, and other metrics).

<span class="mw-page-title-main">AM–GM inequality</span> Arithmetic mean is greater than or equal to geometric mean

In mathematics, the inequality of arithmetic and geometric means, or more briefly the AM–GM inequality, states that the arithmetic mean of a list of non-negative real numbers is greater than or equal to the geometric mean of the same list; and further, that the two means are equal if and only if every number in the list is the same.

In mathematics, the geometric–harmonic mean M(x, y) of two positive real numbers x and y is defined as follows: we form the geometric mean of g0 = x and h0 = y and call it g1, i.e. g1 is the square root of xy. We also form the harmonic mean of x and y and call it h1, i.e. h1 is the reciprocal of the arithmetic mean of the reciprocals of x and y. These may be done sequentially (in any order) or simultaneously.

In mathematics, Muirhead's inequality, named after Robert Franklin Muirhead, also known as the "bunching" method, generalizes the inequality of arithmetic and geometric means.

<span class="mw-page-title-main">Logarithmic mean</span> Difference of two numbers divided by the logarithm of their quotient

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.

In mathematics, a contraharmonic mean is a function complementary to the harmonic mean. The contraharmonic mean is a special case of the Lehmer mean, , where p = 2.

In mathematics, a univariate polynomial of degree n with real or complex coefficients has n complex roots, if counted with their multiplicities. They form a multiset of n points in the complex plane. This article concerns the geometry of these points, that is the information about their localization in the complex plane that can be deduced from the degree and the coefficients of the polynomial.

<span class="mw-page-title-main">Harmonic progression (mathematics)</span> Progression formed by taking the reciprocals of an arithmetic progression

In mathematics, a harmonic progression is a progression formed by taking the reciprocals of an arithmetic progression.

In mathematics and statistics, the Fréchet mean is a generalization of centroids to metric spaces, giving a single representative point or central tendency for a cluster of points. It is named after Maurice Fréchet. Karcher mean is the renaming of the Riemannian Center of Mass construction developed by Karsten Grove and Hermann Karcher. On the real numbers, the arithmetic mean, median, geometric mean, and harmonic mean can all be interpreted as Fréchet means for different distance functions.

For certain applications in linear algebra, it is useful to know properties of the probability distribution of the largest eigenvalue of a finite sum of random matrices. Suppose is a finite sequence of random matrices. Analogous to the well-known Chernoff bound for sums of scalars, a bound on the following is sought for a given parameter t:

In mathematics, a smooth maximum of an indexed family x1, ..., xn of numbers is a smooth approximation to the maximum function meaning a parametric family of functions such that for every α, the function is smooth, and the family converges to the maximum function as . The concept of smooth minimum is similarly defined. In many cases, a single family approximates both: maximum as the parameter goes to positive infinity, minimum as the parameter goes to negative infinity; in symbols, as and as . The term can also be used loosely for a specific smooth function that behaves similarly to a maximum, without necessarily being part of a parametrized family.

In mathematics, the QM-AM-GM-HM inequalities, also known as the mean inequality chain, state the relationship between the harmonic mean, geometric mean, arithmetic mean, and quadratic mean. Suppose that are positive real numbers. Then

References

  1. Heath, Thomas. History of Ancient Greek Mathematics.
  2. Gerasa.), Nicomachus (of (1926). Introduction to Arithmetic. Macmillan.
  3. Huffman, Carl (2005). Archytas of Tarentum: Pythagorean, philosopher and mathematician king. Cambridge University Press. p. 163. ISBN   1139444077.
  4. Huffman, Carl (2014). A History of Pythagoreanism. Cambridge University Press. p. 168. ISBN   978-1139915984.
  5. Virginia Tech Mathematics Department, 39th VTRMC, 2017, Solutions, part 5