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When a circle's diameter is 1, its circumference is π.
List of numbersIrrational numbers
ζ(3)√2√3√5φαeπδ
Binary 11.00100100001111110110…
Decimal 3.14159265358979323846…
Hexadecimal 3.243F6A8885A308D31319…
Continued fraction 3 + 1 7 + 1 15 + 1 1 + 1 292 + {\displaystyle 3+{\cfrac {1}{7+{\cfrac {1}{15+{\cfrac {1}{1+{\cfrac {1}{292+\ddots }}}}}}}}}
Note that this continued fraction is not periodic.

Pi or π is a mathematical constant which represents the ratio of any circle's circumference to its diameter in Euclidean geometry, which is the same as the ratio of a circle's area to the square of its radius. It is approximately equal to 3.14159. Pi is one of the most important mathematical constants: many formulae from mathematics, science, and engineering involve π.

Pi is an irrational number, which means that it cannot be expressed as a fraction m/n, where m and n are integers. Consequently its decimal representation never ends or repeats. Beyond being irrational, it is a transcendental number, which means that no finite sequence of algebraic operations on integers (powers, roots, sums, etc.) could ever produce it. Throughout the history of mathematics, much effort has been made to determine π more accurately and understand its nature; fascination with the number has even carried over into culture at large.

The Greek letter π, often spelled out pi in text, was adopted for the number from the Greek word for perimeter "περίμετρος", probably by William Jones in 1706, and popularized by Leonhard Euler some years later. The constant is occasionally also referred to as the circular constant, Archimedes' constant (not to be confused with an Archimedes number), or Ludolph's number.

pi is cool


Advanced properties

Numerical approximations

Main article: History of numerical approximations of π

Due to the transcendental nature of π, there are no closed form expressions for the number in terms of algebraic numbers and functions. Formulas for calculating π using elementary arithmetic typically include series or summation notation (such as "..."), which indicates that the formula is really a formula for an infinite sequence of approximations to π. The more terms included in a calculation, the closer to π the result will get.

Consequently, numerical calculations must use approximations of π. For many purposes, 3.14 or /7 is close enough, although engineers often use 3.1416 (5 significant figures) or 3.14159 (6 significant figures) for more precision. The approximations /7 and /113, with 3 and 7 significant figures respectively, are obtained from the simple continued fraction expansion of π. The approximation 113 (3.1415929…) is the best one that may be expressed with a three-digit or four-digit numerator and denominator.

The earliest numerical approximation of π is almost certainly the value 3. In cases where little precision is required, it may be an acceptable substitute. That 3 is an underestimate follows from the fact that it is the ratio of the perimeter of an inscribed regular hexagon to the diameter of the circle.

Open questions

The most pressing open question about π is whether it is a normal number — whether any digit block occurs in the expansion of π just as often as one would statistically expect if the digits had been produced completely "randomly", and that this is true in every base, not just base 10. Current knowledge on this point is very weak; e.g., it is not even known which of the digits 0,…,9 occur infinitely often in the decimal expansion of π.

Bailey and Crandall showed in 2000 that the existence of the above mentioned Bailey-Borwein-Plouffe formula and similar formulas imply that the normality in base 2 of π and various other constants can be reduced to a plausible conjecture of chaos theory.

It is also unknown whether π and e are algebraically independent, although Yuri Nesterenko proved the algebraic independence of {π, e, Γ(1/4)} in 1996. However it is known that at least one of πe and π + e is transcendental (see Lindemann–Weierstrass theorem).

Use in mathematics and science

Main article: List of formulas involving π

π is ubiquitous in mathematics, appearing even in places that lack an obvious connection to the circles of Euclidean geometry.

Geometry and trigonometry

See also: Area of a disk

For any circle with radius r and diameter d = 2r, the circumference is πd and the area is πr. Further, π appears in formulas for areas and volumes of many other geometrical shapes based on circles, such as ellipses, spheres, cones, and tori. Accordingly, π appears in definite integrals that describe circumference, area or volume of shapes generated by circles. In the basic case, half the area of the unit disk is given by:

1 1 1 x 2 d x = π 2 {\displaystyle \int _{-1}^{1}{\sqrt {1-x^{2}}}\,dx={\frac {\pi }{2}}}

and

1 1 1 1 x 2 d x = π {\displaystyle \int _{-1}^{1}{\frac {1}{\sqrt {1-x^{2}}}}\,dx=\pi }

gives half the circumference of the unit circle. More complicated shapes can be integrated as solids of revolution.

From the unit-circle definition of the trigonometric functions also follows that the sine and cosine have period 2π. That is, for all x and integers n, sin(x) = sin(x + 2πn) and cos(x) = cos(x + 2πn). Because sin(0) = 0, sin(2πn) = 0 for all integers n. Also, the angle measure of 180° is equal to π radians. In other words, 1° = (π/180) radians.

In modern mathematics, π is often defined using trigonometric functions, for example as the smallest positive x for which sin x = 0, to avoid unnecessary dependence on the subtleties of Euclidean geometry and integration. Equivalently, π can be defined using the inverse trigonometric functions, for example as π = 2 arccos(0) or π = 4 arctan(1). Expanding inverse trigonometric functions as power series is the easiest way to derive infinite series for π.

Higher analysis and number theory

The frequent appearance of π in complex analysis can be related to the behavior of the exponential function of a complex variable, described by Euler's formula

e i φ = cos φ + i sin φ {\displaystyle e^{i\varphi }=\cos \varphi +i\sin \varphi \!}

where i is the imaginary unit satisfying i = −1 and e ≈ 2.71828 is Euler's number. This formula implies that imaginary powers of e describe rotations on the unit circle in the complex plane; these rotations have a period of 360° = 2π. In particular, the 180° rotation φ = π results in the remarkable Euler's identity

e i π = 1. {\displaystyle e^{i\pi }=-1.\!}

There are n different n-th roots of unity

e 2 π i k / n ( k = 0 , 1 , 2 , , n 1 ) . {\displaystyle e^{2\pi ik/n}\qquad (k=0,1,2,\dots ,n-1).}

The Gaussian integral

e x 2 d x = π . {\displaystyle \int _{-\infty }^{\infty }e^{-x^{2}}dx={\sqrt {\pi }}.}

A consequence is that the gamma function of a half-integer is a rational multiple of √π.

Physics

Although not a physical constant, π appears routinely in equations describing fundamental principles of the Universe, due in no small part to its relationship to the nature of the circle and, correspondingly, spherical coordinate systems. Using units such as Planck units can sometimes eliminate π from formulae.

Λ = 8 π G 3 c 2 ρ {\displaystyle \Lambda ={{8\pi G} \over {3c^{2}}}\rho }
Δ x Δ p h 4 π {\displaystyle \Delta x\,\Delta p\geq {\frac {h}{4\pi }}}
R i k g i k R 2 + Λ g i k = 8 π G c 4 T i k {\displaystyle R_{ik}-{g_{ik}R \over 2}+\Lambda g_{ik}={8\pi G \over c^{4}}T_{ik}}
F = | q 1 q 2 | 4 π ε 0 r 2 {\displaystyle F={\frac {\left|q_{1}q_{2}\right|}{4\pi \varepsilon _{0}r^{2}}}}
μ 0 = 4 π 10 7 N / A 2 {\displaystyle \mu _{0}=4\pi \cdot 10^{-7}\,\mathrm {N/A^{2}} \,}
P 2 a 3 = ( 2 π ) 2 G ( M + m ) {\displaystyle {\frac {P^{2}}{a^{3}}}={(2\pi )^{2} \over G(M+m)}}

Probability and statistics

In probability and statistics, there are many distributions whose formulas contain π, including:

f ( x ) = 1 σ 2 π e ( x μ ) 2 / ( 2 σ 2 ) {\displaystyle f(x)={1 \over \sigma {\sqrt {2\pi }}}\,e^{-(x-\mu )^{2}/(2\sigma ^{2})}}
f ( x ) = 1 π ( 1 + x 2 ) . {\displaystyle f(x)={\frac {1}{\pi (1+x^{2})}}.}

Note that since f ( x ) d x = 1 {\displaystyle \int _{-\infty }^{\infty }f(x)\,dx=1} for any probability density function f(x), the above formulas can be used to produce other integral formulas for π.

Buffon's needle problem is sometimes quoted as a empirical approximation of π in "popular mathematics" works. Consider dropping a needle of length L repeatedly on a surface containing parallel lines drawn S units apart (with S > L). If the needle is dropped n times and x of those times it comes to rest crossing a line (x > 0), then one may approximate π using the Monte Carlo method:

π 2 n L x S . {\displaystyle \pi \approx {\frac {2nL}{xS}}.}

Though this result is mathematically impeccable, it cannot be used to determine more than very few digits of π by experiment. Reliably getting just three digits (including the initial "3") right requires millions of throws, and the number of throws grows exponentially with the number of digits desired. Furthermore, any error in the measurement of the lengths L and S will transfer directly to an error in the approximated π. For example, a difference of a single atom in the length of a 10-centimeter needle would show up around the 9th digit of the result. In practice, uncertainties in determining whether the needle actually crosses a line when it appears to exactly touch it will limit the attainable accuracy to much less than 9 digits.

See also

References

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  5. "Magic of 355 ÷ 113". Kaidy Educational Resources. Retrieved 2007-11-08.
  6. Gourdon, Xavier. "Collection of approximations for π". Numbers, constants and computation. Retrieved 2007-11-08. {{cite web}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
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  9. Preuss, Paul (2001-07-23). "Are The Digits of Pi Random? Lab Researcher May Hold The Key". Lawrence Berkeley National Laboratory. Retrieved 2007-11-10. {{cite news}}: Check date values in: |date= (help)
  10. Peterson, Ivars (2001-09-01). "Pi à la Mode: Mathematicians tackle the seeming randomness of pi's digits". Science News Online. Retrieved 2007-11-10. {{cite news}}: Check date values in: |date= (help)
  11. Nesterenko, Yuri V (1996). "Modular Functions and Transcendence Problems". Comptes rendus de l'Académie des sciences Série 1. 322 (10): 909–914.
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  13. "Area and Circumference of a Circle by Archimedes". Penn State. Retrieved 2007-11-08.
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  16. Weisstein, Eric W (2006-05-04). "Solid of Revolution". MathWorld. Retrieved 2007-11-08. {{cite web}}: Check date values in: |date= (help)
  17. Miller, Cole. "The Cosmological Constant" (PDF). University of Maryland. Retrieved 2007-11-08.
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  19. Einstein, Albert (1916). "The Foundation of the General Theory of Relativity" (PDF). Annalen der Physik. Retrieved 2007-11-09.
  20. Nave, C. Rod (2005-06-28). "Coulomb's Constant". HyperPhysics. Georgia State University. Retrieved 2007-11-09. {{cite web}}: Check date values in: |date= (help)
  21. "Magnetic constant". NIST. 2006 CODATA recommended values. Retrieved 2007-11-09. {{cite web}}: Check date values in: |date= (help)
  22. Weisstein, Eric W (2004-10-07). "Gaussian Integral". MathWorld. Retrieved 2007-11-08. {{cite web}}: Check date values in: |date= (help)
  23. Weisstein, Eric W (2005-10-11). "Cauchy Distribution". MathWorld. Retrieved 2007-11-08. {{cite web}}: Check date values in: |date= (help)
  24. Weisstein, Eric W (2003-07-02). "Probability Function". MathWorld. Retrieved 2007-11-08. {{cite web}}: Check date values in: |date= (help)
  25. ^ Weisstein, Eric W (2005-12-12). "Buffon's Needle Problem". MathWorld. Retrieved 2007-11-10. {{cite web}}: Check date values in: |date= (help)
  26. Bogomolny, Alex (2001-08). "Math Surprises: An Example". cut-the-knot. Retrieved 2007-10-28. {{cite web}}: Check date values in: |date= (help)
  27. Ramaley, J. F. (Oct 1969). "Buffon's Noodle Problem". The American Mathematical Monthly. 76 (8): 916–918. doi:10.2307/2317945.
  28. "The Monte Carlo algorithm/method". datastructures. 2007-01-09. Retrieved 2007-11-07. {{cite web}}: Check date values in: |date= (help)

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