Sine and cosine | ||||
General Definition: | \begin{align} &\sin(\alpha)=
| |||
Fields Of Application: | Trigonometry, Fourier series, etc. |
In mathematics, sine and cosine are trigonometric functions of an angle. The sine and cosine of an acute angle are defined in the context of a right triangle: for the specified angle, its sine is the ratio of the length of the side that is opposite that angle to the length of the longest side of the triangle (the hypotenuse), and the cosine is the ratio of the length of the adjacent leg to that of the hypotenuse. For an angle
\theta
\sin(\theta)
\cos(\theta)
The definitions of sine and cosine have been extended to any real value in terms of the lengths of certain line segments in a unit circle. More modern definitions express the sine and cosine as infinite series, or as the solutions of certain differential equations, allowing their extension to arbitrary positive and negative values and even to complex numbers.
The sine and cosine functions are commonly used to model periodic phenomena such as sound and light waves, the position and velocity of harmonic oscillators, sunlight intensity and day length, and average temperature variations throughout the year. They can be traced to the and functions used in Indian astronomy during the Gupta period.
To define the sine and cosine of an acute angle
\alpha
\alpha
\alpha
ABC
a
h
b
Once such a triangle is chosen, the sine of the angle is equal to the length of the opposite side divided by the length of the hypotenuse, and the cosine of the angle is equal to the length of the adjacent side divided by the length of the hypotenuse:
The other trigonometric functions of the angle can be defined similarly; for example, the tangent is the ratio between the opposite and adjacent sides or equivalently the ratio between the sine and cosine functions. The reciprocal of sine is cosecant, which gives the ratio of the hypotenuse length to the length of the opposite side. Similarly, the reciprocal of cosine is secant, which gives the ratio of the hypotenuse length to that of the adjacent side. The cotangent function is the ratio between the adjacent and opposite sides, a reciprocal of a tangent function. These functions can be formulated as:
As stated, the values
\sin(\alpha)
\cos(\alpha)
\alpha
\sqrt{2}
Angle, x | sin(x) | cos(x) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Degrees | Radians | Gradians | Turns | Exact | Decimal | Exact | Decimal | ||||||
0° | 0 | 0g | 0 | 0 | 0 | 1 | 1 | ||||||
30° | 0.5 |
| 0.8660 | ||||||||||
45° |
| 0.7071 |
| 0.7071 | |||||||||
60° |
| 0.8660 | 0.5 | ||||||||||
90° | 1 | 1 | 0 | 0 |
See main article: Law of sines and Law of cosines. The law of sines is useful for computing the lengths of the unknown sides in a triangle if two angles and one side are known. Given that a triangle
ABC
a
b
c
\alpha
\beta
\gamma
R
The law of cosines is useful for computing the length of an unknown side if two other sides and an angle are known. The law states,In the case where
\gamma=\pi/2
\cos(\gamma)=0
The cross product and dot product are operations on two vectors in Euclidean vector space. The sine and cosine functions can be defined in terms of the cross product and dot product. If
a
b
\theta
a
b
The sine and cosine functions may also be defined in a more general way by using unit circle, a circle of radius one centered at the origin
(0,0)
x2+y2=1
\theta
\cos(\theta)
\sin(\theta)
This definition is consistent with the right-angled triangle definition of sine and cosine when because the length of the hypotenuse of the unit circle is always 1; mathematically speaking, the sine of an angle equals the opposite side of the triangle, which is simply the coordinate. A similar argument can be made for the cosine function to show that the cosine of an angle when , even under the new definition using the unit circle.
Using the unit circle definition has the advantage of drawing a graph of sine and cosine functions. This can be done by rotating counterclockwise a point along the circumference of a circle, depending on the input
\theta>0
\theta=\pi
\theta=2\pi
-1\ley\le1
Extending the angle to any real domain, the point rotated counterclockwise continuously. This can be done similarly for the cosine function as well, although the point is rotated initially from the coordinate. In other words, both sine and cosine functions are periodic, meaning any angle added by the circumference's circle is the angle itself. Mathematically,
A function
f
f(-x)=-f(x)
f(-x)=f(x)
Zero is the only real fixed point of the sine function; in other words the only intersection of the sine function and the identity function is
\sin(0)=0
\cos(x)=x
See main article: Differentiation of trigonometric functions. The sine and cosine functions are infinitely differentiable. The derivative of sine is cosine, and the derivative of cosine is negative sine:Continuing the process in higher-order derivative results in the repeated same functions; the fourth derivative of a sine is the sine itself. These derivatives can be applied to the first derivative test, according to which the monotonicity of a function can be defined as the inequality of function's first derivative greater or less than equal to zero. It can also be applied to second derivative test, according to which the concavity of a function can be defined by applying the inequality of the function's second derivative greater or less than equal to zero. The following table shows that both sine and cosine functions have concavity and monotonicity - the positive sign (
+
-
Quadrant | Angle | Sine | Cosine | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Degrees | Radians | Sign | Monotony | Convexity | Sign | Monotony | Convexity | |||||
1st quadrant, I | 0\circ<x<90\circ | 0<x<
| + | increasing | concave | + | decreasing | concave | ||||
2nd quadrant, II | 90\circ<x<180\circ |
<x<\pi | + | decreasing | concave | - | decreasing | convex | ||||
3rd quadrant, III | 180\circ<x<270\circ | \pi<x<
| - | decreasing | convex | - | increasing | convex | ||||
4th quadrant, IV | 270\circ<x<360\circ |
<x<2\pi | - | increasing | convex | + | increasing | concave |
Both sine and cosine functions can be defined by using differential equations. The pair of
(\cos\theta,\sin\theta)
(x(\theta),y(\theta))
y'(\theta)=x(\theta)
x'(\theta)=-y(\theta)
y(0)=0
x(0)=1
y'(\theta)=x(\theta)
x'(\theta)=-y(\theta)
y(0)=0
x(0)=1
See main article: List of integrals of trigonometric functions. Their area under a curve can be obtained by using the integral with a certain bounded interval. Their antiderivatives are:where
C
0
t
\operatorname{E}(\varphi,k)
k
\Gamma
\varpi
The inverse function of sine is arcsine or inverse sine, denoted as "arcsin", "asin", or
\sin-1
\cos-1
\sin(0)=0
\sin(\pi)=0
\sin(2\pi)=0
\arcsin(0)=0
\arcsin(0)=\pi
\arcsin(0)=2\pi
x
\arcsin(x)
0
\pi
The inverse function of both sine and cosine are defined as:where for some integer
k
See main article: List of trigonometric identities. According to Pythagorean theorem, the squared hypotenuse is the sum of two squared legs of a right triangle. Dividing the formula on both sides with squared hypotenuse resulting in the Pythagorean trigonometric identity, the sum of a squared sine and a squared cosine equals 1:
Sine and cosine satisfy the following double-angle formulas:
The cosine double angle formula implies that sin2 and cos2 are, themselves, shifted and scaled sine waves. Specifically,[2] The graph shows both sine and sine squared functions, with the sine in blue and the sine squared in red. Both graphs have the same shape but with different ranges of values and different periods. Sine squared has only positive values, but twice the number of periods.
Both sine and cosine functions can be defined by using a Taylor series, a power series involving the higher-order derivatives. As mentioned in, the derivative of sine is cosine and that the derivative of cosine is the negative of sine. This means the successive derivatives of
\sin(x)
\cos(x)
-\sin(x)
-\cos(x)
\sin(x)
x=0
x
x
Both sine and cosine functions with multiple angles may appear as their linear combination, resulting in a polynomial. Such a polynomial is known as the trigonometric polynomial. The trigonometric polynomial's ample applications may be acquired in its interpolation, and its extension of a periodic function known as the Fourier series. Let
an
bn
N
T(x)
The trigonometric series can be defined similarly analogous to the trigonometric polynomial, its infinite inversion. Let
An
Bn
f
Both sine and cosine can be extended further via complex number, a set of numbers composed of both real and imaginary numbers. For real number
\theta
Alternatively, both functions can be defined in terms of Euler's formula:
When plotted on the complex plane, the function
eix
x
ei
When
z=x+iy
x
y
i=\sqrt{-1}
(r,\theta)
r
\varphi
z
For any real number
\theta
Applying the series definition of the sine and cosine to a complex argument, z, gives:
\begin{align} \sin(z)&=
infty | |
\sum | |
n=0 |
(-1)n | |
(2n+1)! |
z2n+1\\ &=
ei-e-i | |
2i |
\\ &=
\sinh\left(iz\right) | |
i |
\\ &=-i\sinh\left(iz\right)\\ \cos(z)&=
infty | |
\sum | |
n=0 |
(-1)n | |
(2n)! |
z2n\\ &=
ei+e-i | |
2 |
\\ &=\cosh(iz)\\ \end{align}
where sinh and cosh are the hyperbolic sine and cosine. These are entire functions.
It is also sometimes useful to express the complex sine and cosine functions in terms of the real and imaginary parts of its argument:
\begin{align} \sin(x+iy)&=\sin(x)\cos(iy)+\cos(x)\sin(iy)\\ &=\sin(x)\cosh(y)+i\cos(x)\sinh(y)\\ \cos(x+iy)&=\cos(x)\cos(iy)-\sin(x)\sin(iy)\\ &=\cos(x)\cosh(y)-i\sin(x)\sinh(y)\\ \end{align}
Using the partial fraction expansion technique in complex analysis, one can find that the infinite seriesboth converge and are equal to . Similarly, one can show that
Using product expansion technique, one can deriveAlternatively, the infinite product for the sine can be proved using complex Fourier series.
sin(z) is found in the functional equation for the Gamma function,
\Gamma(s)\Gamma(1-s)={\pi\over\sin(\pis)},
which in turn is found in the functional equation for the Riemann zeta-function,
\zeta(s)=2(2\pi)s-1\Gamma(1-s)\sin\left(
\pi | |
2 |
s\right)\zeta(1-s).
As a holomorphic function, sin z is a 2D solution of Laplace's equation:
\Deltau(x1,x2)=0.
The complex sine function is also related to the level curves of pendulums.[3]
The word sine is derived, indirectly, from the Sanskrit word Sanskrit: jyā 'bow-string' or more specifically its synonym Sanskrit: jīvá (both adopted from Ancient Greek Greek, Ancient (to 1453);: χορδή 'string', due to visual similarity between the arc of a circle with its corresponding chord and a bow with its string (see jyā, koti-jyā and utkrama-jyā). This was transliterated in Arabic as, which is meaningless in that language and written as (Arabic: جب). Since Arabic is written without short vowels, was interpreted as the homograph (جيب), which means 'bosom', 'pocket', or 'fold'. When the Arabic texts of Al-Battani and al-Khwārizmī were translated into Medieval Latin in the 12th century by Gerard of Cremona, he used the Latin equivalent sinus (which also means 'bay' or 'fold', and more specifically 'the hanging fold of a toga over the breast'). Gerard was probably not the first scholar to use this translation; Robert of Chester appears to have preceded him and there is evidence of even earlier usage.[4] The English form sine was introduced in the 1590s.
The word cosine derives from an abbreviation of the Latin Latin: complementi sinus 'sine of the complementary angle' as cosinus in Edmund Gunter's Canon triangulorum (1620), which also includes a similar definition of cotangens.
See main article: History of trigonometry. While the early study of trigonometry can be traced to antiquity, the trigonometric functions as they are in use today were developed in the medieval period. The chord function was discovered by Hipparchus of Nicaea (180–125 BCE) and Ptolemy of Roman Egypt (90–165 CE).[5]
The sine and cosine functions can be traced to the and functions used in Indian astronomy during the Gupta period (Aryabhatiya and Surya Siddhanta), via translation from Sanskrit to Arabic and then from Arabic to Latin.
All six trigonometric functions in current use were known in Islamic mathematics by the 9th century, as was the law of sines, used in solving triangles. With the exception of the sine (which was adopted from Indian mathematics), the other five modern trigonometric functions were discovered by Arabic mathematicians, including the cosine, tangent, cotangent, secant and cosecant.[6] Al-Khwārizmī (c. 780–850) produced tables of sines, cosines and tangents.[7] [8] Muhammad ibn Jābir al-Harrānī al-Battānī (853–929) discovered the reciprocal functions of secant and cosecant, and produced the first table of cosecants for each degree from 1° to 90°.[8]
The first published use of the abbreviations sin, cos, and tan is by the 16th-century French mathematician Albert Girard; these were further promulgated by Euler (see below). The Opus palatinum de triangulis of Georg Joachim Rheticus, a student of Copernicus, was probably the first in Europe to define trigonometric functions directly in terms of right triangles instead of circles, with tables for all six trigonometric functions; this work was finished by Rheticus' student Valentin Otho in 1596.
In a paper published in 1682, Leibniz proved that sin x is not an algebraic function of x.[9] Roger Cotes computed the derivative of sine in his Harmonia Mensurarum (1722).[10] Leonhard Euler's Introductio in analysin infinitorum (1748) was mostly responsible for establishing the analytic treatment of trigonometric functions in Europe, also defining them as infinite series and presenting "Euler's formula", as well as the near-modern abbreviations sin., cos., tang., cot., sec., and cosec.
There is no standard algorithm for calculating sine and cosine. IEEE 754, the most widely used standard for the specification of reliable floating-point computation, does not address calculating trigonometric functions such as sine. The reason is that no efficient algorithm is known for computing sine and cosine with a specified accuracy, especially for large inputs.
Algorithms for calculating sine may be balanced for such constraints as speed, accuracy, portability, or range of input values accepted. This can lead to different results for different algorithms, especially for special circumstances such as very large inputs, e.g. sin(10{{sup|22}})
.
A common programming optimization, used especially in 3D graphics, is to pre-calculate a table of sine values, for example one value per degree, then for values in-between pick the closest pre-calculated value, or linearly interpolate between the 2 closest values to approximate it. This allows results to be looked up from a table rather than being calculated in real time. With modern CPU architectures this method may offer no advantage.
The CORDIC algorithm is commonly used in scientific calculators.
The sine and cosine functions, along with other trigonometric functions, are widely available across programming languages and platforms. In computing, they are typically abbreviated to sin
and cos
.
Some CPU architectures have a built-in instruction for sine, including the Intel x87 FPUs since the 80387.
In programming languages, sin
and cos
are typically either a built-in function or found within the language's standard math library. For example, the C standard library defines sine functions within math.h: sin([[Double-precision floating-point format|double]])
, sinf([[Single-precision floating-point format|float]])
, and sinl([[long double]])
. The parameter of each is a floating point value, specifying the angle in radians. Each function returns the same data type as it accepts. Many other trigonometric functions are also defined in math.h, such as for cosine, arc sine, and hyperbolic sine (sinh). Similarly, Python defines math.sin(x)
and math.cos(x)
within the built-in math
module. Complex sine and cosine functions are also available within the cmath
module, e.g. cmath.sin(z)
. CPython's math functions call the C math
library, and use a double-precision floating-point format.
Some software libraries provide implementations of sine and cosine using the input angle in half-turns, a half-turn being an angle of 180 degrees or
\pi
sinpi
and cospi
.[13] [14] [15] [16] For example, sinpi(x)
would evaluate to \sin(\pix),
The accuracy advantage stems from the ability to perfectly represent key angles like full-turn, half-turn, and quarter-turn losslessly in binary floating-point or fixed-point. In contrast, representing
2\pi
\pi
Turns also have an accuracy advantage and efficiency advantage for computing modulo to one period. Computing modulo 1 turn or modulo 2 half-turns can be losslessly and efficiently computed in both floating-point and fixed-point. For example, computing modulo 1 or modulo 2 for a binary point scaled fixed-point value requires only a bit shift or bitwise AND operation. In contrast, computing modulo involves inaccuracies in representing .
For applications involving angle sensors, the sensor typically provides angle measurements in a form directly compatible with turns or half-turns. For example, an angle sensor may count from 0 to 4096 over one complete revolution.[17] If half-turns are used as the unit for angle, then the value provided by the sensor directly and losslessly maps to a fixed-point data type with 11 bits to the right of the binary point. In contrast, if radians are used as the unit for storing the angle, then the inaccuracies and cost of multiplying the raw sensor integer by an approximation to would be incurred.
See . See, Chapter 3, for an earlier etymology crediting Gerard. See .