arithmetic–geometric mean
{{Short description|Mathematical function of two positive real arguments}}
{{about|the particular type of mean|the similarly named inequality|Inequality of arithmetic and geometric means}}
File:Generalized means + agm.pngs.]]
In mathematics, the arithmetic–geometric mean (AGM or agM) of two positive real numbers {{math|x}} and {{math|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.
The AGM is defined as the limit of the interdependent sequences and . Assuming , we write:
a_0 &= x,\\
g_0 &= y\\
a_{n+1} &= \tfrac12(a_n + g_n),\\
g_{n+1} &= \sqrt{a_n g_n}\, .
\end{align}These two sequences converge to the same number, the arithmetic–geometric mean of {{math|x}} and {{math|y}}; it is denoted by {{math|M(x, y)}}, or sometimes by {{math|agm(x, y)}} or {{math|AGM(x, y)}}.
The arithmetic–geometric mean can be extended to complex numbers and, when the branches of the square root are allowed to be taken inconsistently, it is a multivalued function.{{cite journal |last=Cox |first=David |date=January 1984 |title=The Arithmetic-Geometric Mean of Gauss|url=https://www.researchgate.net/publication/248675540 |journal=L'Enseignement Mathématique|volume=30|issue=2|pages=275–330}}
Example
To find the arithmetic–geometric mean of {{math|a0 {{=}} 24}} and {{math|g0 {{=}} 6}}, iterate as follows:
a_1 & = & \tfrac12(24 + 6) & = & 15\\
g_1 & = & \sqrt{24 \cdot 6} & = & 12\\
a_2 & = & \tfrac12(15 + 12) & = & 13.5\\
g_2 & = & \sqrt{15 \cdot 12} & = & 13.416\ 407\ 8649\dots\\
& & \vdots & &
\end{array}The first five iterations give the following values:
class="wikitable plainrowheaders" style="margin-left:2em;" |
scope="col" | {{math|n}}
! scope="col" | {{math|an}} ! scope="col" | {{math|gn}} |
---|
scope="row" | 0
| 24 | 6 |
scope="row" | 1
| {{underline|1}}5 | {{underline|1}}2 |
scope="row" | 2
| {{underline|13}}.5 | {{underline|13}}.416 407 864 998 738 178 455 042... |
scope="row" | 3
| {{underline|13.458}} 203 932 499 369 089 227 521... | {{underline|13.458}} 139 030 990 984 877 207 090... |
scope="row" | 4
| {{underline|13.458 171 481 7}}45 176 983 217 305... | {{underline|13.458 171 481 7}}06 053 858 316 334... |
scope="row" | 5
| {{underline|13.458 171 481 725 615 420 766 8}}20... | {{underline|13.458 171 481 725 615 420 766 8}}06... |
The number of digits in which {{math|an}} and {{math|gn}} agree (underlined) approximately doubles with each iteration. The arithmetic–geometric mean of 24 and 6 is the common limit of these two sequences, which is approximately {{val|13.4581714817256154207668131569743992430538388544}}.[http://www.wolframalpha.com/input/?i=agm%2824%2C+6%29 agm(24, 6)] at Wolfram Alpha
History
Properties
Both the geometric mean and arithmetic mean of two positive numbers {{mvar|x}} and {{mvar|y}} are between the two numbers. (They are strictly between when {{math|x ≠ y}}.) The geometric mean of two positive numbers is never greater than the arithmetic mean.{{cite book |last=Bullen |first=P. S. |contribution=The Arithmetic, Geometric and Harmonic Means |date=2003 |url=http://link.springer.com/10.1007/978-94-017-0399-4_2 |title=Handbook of Means and Their Inequalities |pages=60–174 |access-date=2023-12-11 |place=Dordrecht |publisher=Springer Netherlands |language=en |doi=10.1007/978-94-017-0399-4_2 |isbn=978-90-481-6383-0}} So the geometric means are an increasing sequence {{math|g{{sub|0}} ≤ g{{sub|1}} ≤ g{{sub|2}} ≤ ...}}; the arithmetic means are a decreasing sequence {{math|a{{sub|0}} ≥ a{{sub|1}} ≥ a{{sub|2}} ≥ ...}}; and {{math|gn ≤ M(x, y) ≤ an}} for any {{mvar|n}}. These are strict inequalities if {{math|x ≠ y}}.
{{math|M(x, y)}} is thus a number between {{math|x}} and {{math|y}}; it is also between the geometric and arithmetic mean of {{math|x}} and {{math|y}}.
If {{math|r ≥ 0}} then {{math|M(rx, ry) {{=}} r M(x, y)}}.
There is an integral-form expression for {{math|M(x, y)}}:{{dlmf|first1=B. C.|last1=Carson|id=19.8.i|title=Elliptic Integrals|mode=cs1}}
M(x,y) &= \frac{\pi}{2} \left( \int_0^\frac{\pi}{2}\frac{d\theta}{\sqrt{x^2\cos^2\theta+y^2\sin^2\theta}} \right)^{-1}\\
&=\pi\left(\int_0^\infty \frac{dt}{\sqrt{t(t+x^2)(t+y^2)}}\right)^{-1}\\
&= \frac{\pi}{4} \cdot \frac{x + y}{K\left( \frac{x - y}{x + y} \right)}
\end{align}where {{math|K(k)}} is the complete elliptic integral of the first kind:Since the arithmetic–geometric process converges so quickly, it provides an efficient way to compute elliptic integrals, which are used, for example, in elliptic filter design.{{cite book |author-first=Hercules G. |author-last=Dimopoulos |title=Analog Electronic Filters: Theory, Design and Synthesis |url=https://books.google.com/books?id=6W1eX4QwtyYC&pg=PA147 |year=2011 |publisher=Springer |isbn=978-94-007-2189-0 |pages=147–155 }}
The arithmetic–geometric mean is connected to the Jacobi theta function by{{Cite book |last1=Borwein |first1=Jonathan M. |last2=Borwein| first2=Peter B. |title=Pi and the AGM: A Study in Analytic Number Theory and Computational Complexity |publisher=Wiley-Interscience |year=1987 |edition=First |isbn=0-471-83138-7}} pages 35, 40which upon setting gives
Related concepts
The reciprocal of the arithmetic–geometric mean of 1 and the square root of 2 is Gauss's constant.In 1799, Gauss provedBy 1799, Gauss had two proofs of the theorem, but neither of them was rigorous from the modern point of view. thatwhere is the lemniscate constant.
In 1941, (and hence ) was proved transcendental by Theodor Schneider.In particular, he proved that the beta function is transcendental for all such that . The fact that is transcendental follows from {{cite journal |first=Theodor |last=Schneider |url=https://www.deepdyve.com/lp/de-gruyter/zur-theorie-der-abelschen-funktionen-und-integrale-mn0U50bvkB |title=Zur Theorie der Abelschen Funktionen und Integrale |year=1941 |journal=Journal für die reine und angewandte Mathematik |volume=183 |number=19 |pages=110–128 |doi=10.1515/crll.1941.183.110 |s2cid=118624331 }}{{Cite journal |title=The Lemniscate Constants |last=Todd |first=John |journal=Communications of the ACM |volume=18 |number=1 |year=1975 |pages=14–19 |doi=10.1145/360569.360580 |s2cid=85873 |doi-access=free }} The set is algebraically independent over ,G. V. Choodnovsky: Algebraic independence of constants connected with the functions of analysis, Notices of the AMS 22, 1975, p. A-486G. V. Chudnovsky: Contributions to The Theory of Transcendental Numbers, American Mathematical Society, 1984, p. 6 but the set (where the prime denotes the derivative with respect to the second variable) is not algebraically independent over . In fact,{{Cite book |last1=Borwein |first1=Jonathan M. |last2=Borwein| first2=Peter B. |title=Pi and the AGM: A Study in Analytic Number Theory and Computational Complexity |publisher=Wiley-Interscience |year=1987 |edition=First |isbn=0-471-83138-7}} p. 45The geometric–harmonic mean GH can be calculated using analogous sequences of geometric and harmonic means, and in fact {{math|1= GH(x, y) = 1/M(1/x, 1/y) = xy/M(x, y)}}.{{cite journal
| last = Newman | first = D. J.
| doi = 10.2307/2007804
| journal = Mathematics of Computation
| pages = 207–210
| title = A simplified version of the fast algorithms of Brent and Salamin
| volume = 44
| year = 1985| issue = 169
| jstor = 2007804
}}
The arithmetic–harmonic mean is equivalent to the geometric mean.
The arithmetic–geometric mean can be used to compute – among others – logarithms, complete and incomplete elliptic integrals of the first and second kind,{{AS ref|17|598–599}} and Jacobi elliptic functions.{{cite book |first=Louis V. |last=King |author-link=Louis Vessot King |url=https://archive.org/details/onthenumerical032686mbp |title=On the Direct Numerical Calculation of Elliptic Functions and Integrals |publisher=Cambridge University Press |year=1924 }}
Proof of existence
The inequality of arithmetic and geometric means implies thatand thusthat is, the sequence {{math|gn}} is nondecreasing and bounded above by the larger of {{math|x}} and {{math|y}}. By the monotone convergence theorem, the sequence is convergent, so there exists a {{math|g}} such that:However, we can also see that:
and so:
Proof of the integral-form expression
Let
Changing the variable of integration to , where
\ ,
This yields
,
gives
I(x,y) &= \int_0^{\pi/2}\frac{d\theta'}{\sqrt{((\frac{x+y}{2})^2\cos^2\theta'+(\sqrt{xy})^2\sin^2\theta'}}\\
&= I\bigl(\tfrac{x+y}{2},\sqrt{xy}\bigr) .
\end{align}
Thus, we have
\begin{align}
I(x,y) &= I(a_1, g_1) = I(a_2, g_2) = \cdots\\
&= I\bigl(M(x,y),M(x,y)\bigr) = \pi/\bigr(2M(x,y)\bigl) .
\end{align}
The last equality comes from observing that .
Finally, we obtain the desired result
Applications
=The number ''π''=
According to the Gauss–Legendre algorithm,{{cite journal |first=Eugene |last=Salamin |author-link=Eugene Salamin (mathematician) |title=Computation of π using arithmetic–geometric mean |journal=Mathematics of Computation |url=https://link.springer.com/chapter/10.1007/978-3-319-32377-0_1 |volume=30 |issue=135 |year=1976 |pages=565–570 |doi=10.2307/2005327 |jstor=2005327 |mr=0404124 }}
where
with and , which can be computed without loss of precision using
=Complete elliptic integral ''K''(sin''α'')=
Taking and yields the AGM
where {{math|K(k)}} is a complete elliptic integral of the first kind:
That is to say that this quarter period may be efficiently computed through the AGM,
=Other applications=
Using this property of the AGM along with the ascending transformations of John Landen,{{cite journal |first=John |last=Landen |title=An investigation of a general theorem for finding the length of any arc of any conic hyperbola, by means of two elliptic arcs, with some other new and useful theorems deduced therefrom |journal=Philosophical Transactions of the Royal Society |volume=65 |year=1775 |pages=283–289 |doi=10.1098/rstl.1775.0028|s2cid=186208828 }} Richard P. Brent{{cite journal |first=Richard P. |last=Brent |title=Fast Multiple-Precision Evaluation of Elementary Functions |journal=Journal of the ACM |volume=23 |issue=2 |year=1976 |pages=242–251 |doi=10.1145/321941.321944 |mr=0395314 |citeseerx=10.1.1.98.4721 |s2cid=6761843 |url=https://link.springer.com/chapter/10.1007/978-3-319-32377-0_2 }} suggested the first AGM algorithms for the fast evaluation of elementary transcendental functions ({{math|ex}}, {{math|cos x}}, {{math|sin x}}). Subsequently, many authors went on to study the use of the AGM algorithms.{{cite book |author1-link=Jonathan Borwein |first1=Jonathan M. |last1=Borwein |author2-link=Peter Borwein |first2=Peter B. |last2=Borwein |title=Pi and the AGM |publisher=Wiley |place=New York |year=1987 |isbn=0-471-83138-7 |mr=0877728 }}
See also
References
=Notes=
{{reflist|group=note}}
=Citations=
{{reflist}}
=Sources=
{{refbegin}}
- {{cite journal |author1-last=Daróczy |author1-first=Zoltán |author2-last=Páles |author2-first=Zsolt |year=2002 |title=Gauss-composition of means and the solution of the Matkowski–Suto problem |journal=Publicationes Mathematicae Debrecen |volume=61 |issue=1–2 |pages=157–218 |doi=10.5486/PMD.2002.2713 }}
- {{SpringerEOM |title=Arithmetic–geometric mean process|mode=cs1}}
- {{mathworld |urlname=Arithmetic-GeometricMean}}
{{refend}}
{{Statistics|descriptive}}
{{DEFAULTSORT:Arithmetic-Geometric Mean}}