Exponentiation

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Exponentiation is a mathematical operation, written as bⁿ, involving two numbers, the base b and the exponent n. When n is a positive integer, exponentiation corresponds to repeated multiplication of the base: that is, bⁿ is the product of multiplying n bases:

${\displaystyle b^{n}=\underbrace {b\times \cdots \times b} _{n}.}$

The exponent is usually shown as a superscript to the right of the base. In that case, bⁿ is called "b raised to the n-th power", "b raised to the power of n", or "the n-th power of b".

When n is a positive integer and b is not zero, b^-n is naturally defined as 1/bⁿ, preserving the property bⁿ × b^m = b^{n + m}. With exponent -1, b^-1 is equal to 1/b, and is the reciprocal of b.

The definition of exponentiation can be extended to allow any real or complex exponent. Exponentiation by integer exponents can also be defined for a wide variety of algebraic structures, including matrices.

Exponentiation is used extensively in many fields, including economics, biology, chemistry, physics, and computer science, with applications such as compound interest, population growth, chemical reaction kinetics, wave behavior, and public-key cryptography.

Video Exponentiation

History of the notation

The term power was used by the Greek mathematician Euclid for the square of a line. Archimedes discovered and proved the law of exponents, 10^a 10^b = 10^a+b, necessary to manipulate powers of 10. In the 9th century, the Persian mathematician Muhammad ibn M?s? al-Khw?rizm? used the terms mal for a square and kahb for a cube, which later Islamic mathematicians represented in mathematical notation as m and k, respectively, by the 15th century, as seen in the work of Ab? al-Hasan ibn Al? al-Qalas?d?.

In the late 16th century, Jost Bürgi used Roman numerals for exponents.

Early in the 17th century, the first form of our modern exponential notation was introduced by Rene Descartes in his text titled La Géométrie; there, the notation is introduced in Book I.

Nicolas Chuquet used a form of exponential notation in the 15th century, which was later used by Henricus Grammateus and Michael Stifel in the 16th century. The word "exponent" was coined in 1544 by Michael Stifel. Samuel Jeake introduced the term indices in 1696. In the 16th century Robert Recorde used the terms square, cube, zenzizenzic (fourth power), sursolid (fifth), zenzicube (sixth), second sursolid (seventh), and zenzizenzizenzic (eighth). Biquadrate has been used to refer to the fourth power as well.

Some mathematicians (e.g., Isaac Newton) used exponents only for powers greater than two, preferring to represent squares as repeated multiplication. Thus they would write polynomials, for example, as ax + bxx + cx³ + d.

Another historical synonym, involution, is now rare and should not be confused with its more common meaning.

In 1748 Leonhard Euler wrote "consider exponentials or powers in which the exponent itself is a variable. It is clear that quantities of this kind are not algebraic functions, since in those the exponents must be constant." With this introduction of transcendental functions, Euler laid the foundation for the modern introduction of natural logarithm as the inverse function for y = e^x.

Maps Exponentiation

Terminology

The expression b² = b ? b is called the square of b or b squared because the area of a square with side-length b is b².

The expression b³ = b ? b ? b is called the cube of b or b cubed because the volume of a cube with side-length b is b³.

When it is a positive integer, the exponent indicates how many copies of the base are multiplied together. For example, 3⁵ = 3 ? 3 ? 3 ? 3 ? 3 = 243. The base 3 appears 5 times in the repeated multiplication, because the exponent is 5. Here, 3 is the base, 5 is the exponent, and 243 is the power or, more specifically, 3 raised to the 5th power.

The word "raised" is usually omitted, and sometimes "power" as well, so 3⁵ can also be read 3 to the 5th or 3 to the 5. Therefore, the exponentiation bⁿ can be expressed as b to the power of n, b to the n-th power, b to the n-th, or most briefly as b to the n.

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Integer exponents

The exponentiation operation with integer exponents may be defined directly from elementary arithmetic operations.

Positive exponents

Formally, powers with positive integer exponents may be defined by the initial condition

${\displaystyle b^{1}=b}$

and the recurrence relation

${\displaystyle b^{n+1}=b^{n}\cdot b}$

From the associativity of multiplication, it follows that for any positive integers m and n,

${\displaystyle b^{m+n}=b^{m}\cdot b^{n}}$

Zero exponent

Any nonzero number raised by the exponent 0 is 1:

${\displaystyle b^{0}=1}$

One interpretation of such a power is as an empty product.

The case of 0⁰ is discussed Zero to the power of zero.

Negative exponents

The following identity holds for an arbitrary integer n and nonzero b:

${\displaystyle b^{-n}=1/b^{n}}$

Raising 0 to a negative exponent is either left undefined or defined as being the infinity ?.

The identity above may be derived through a definition aimed at extending the range of exponents to negative integers.

For non-zero b and positive n, the recurrence relation from the previous subsection can be rewritten as

${\displaystyle b^{n}={b^{n+1}}/{b},\quad n\geq 1.}$

By defining this relation as valid for all integer n and nonzero b, it follows that

${\displaystyle {\begin{aligned}b^{0}&={b^{1}}/{b}=1\\b^{-1}&={b^{0}}/{b}={1}/{b}\end{aligned}}}$

and more generally for any nonzero b and any nonnegative integer n,

${\displaystyle b^{-n}={1}/{b^{n}}.}$

This is then readily shown to be true for every integer n.

Combinatorial interpretation

For nonnegative integers n and m, the power n^m is the number of functions from a set of m elements to a set of n elements (see cardinal exponentiation). Such functions can be represented as m-tuples from an n-element set (or as m-letter words from an n-letter alphabet).

Identities and properties

The following identities hold for all integer exponents, provided that the base is non-zero:

${\displaystyle {\begin{aligned}b^{m+n}&=b^{m}\cdot b^{n}\\(b^{m})^{n}&=b^{m\cdot n}\\(b\cdot c)^{n}&=b^{n}\cdot c^{n}\end{aligned}}}$

Exponentiation is not commutative. This contrasts with addition and multiplication, which are. For example, 2 + 3 = 3 + 2 = 5 and 2 ? 3 = 3 ? 2 = 6, but 2³ = 8, whereas 3² = 9.

Exponentiation is not associative either. Addition and multiplication are. For example, (2 + 3) + 4 = 2 + (3 + 4) = 9 and (2 ? 3) ? 4 = 2 ? (3 ? 4) = 24, but 2³ to the 4 is 8⁴ or 4096, whereas 2 to the 3⁴ is 2⁸¹ or 2417851639229258349412352. Without parentheses to modify the order of calculation, by convention the order is top-down (or right-associative), not bottom-up (or left-associative):

${\displaystyle b^{p^{q}}=b^{(p^{q})}\neq (b^{p})^{q}=b^{(p\cdot q)}=b^{p\cdot q}.}$

While Google and WolframAlpha follow the above convention, note that some computer programs such as Microsoft Office Excel or Matlab associate to the left (bottom-up) instead, i.e. a^b^c is evaluated as (a^b)^c.

Particular bases

Powers of ten

In the base ten (decimal) number system, integer powers of 10 are written as the digit 1 followed or preceded by a number of zeroes determined by the sign and magnitude of the exponent. For example, 10³ = 1000 and 10^-4 = 0.0001.

Exponentiation with base 10 is used in scientific notation to denote large or small numbers. For instance, 299792458 m/s (the speed of light in vacuum, in metres per second) can be written as 2.99792458×10⁸ m/s and then approximated as 2.998×10⁸ m/s.

SI prefixes based on powers of 10 are also used to describe small or large quantities. For example, the prefix kilo means 10³ = 1000, so a kilometre is 1000 m.

Powers of two

The first negative powers of 2 are commonly used, and have special names, e.g.: half and quarter.

Powers of 2 appear in set theory, since a set with n members has a power set, the set of all of its subsets, which has 2ⁿ members.

Integer powers of 2 are important in computer science. The positive integer powers 2ⁿ give the number of possible values for an n-bit integer binary number, e.g. 2⁸ = 256 different values for 1byte. For a given number the binary number system denotes on one side of the binary point all the positive integer powers of 2, that are contained in the integer part of this number, and the negative powers to the other side of the binary point represent the fractional part. This system is consistently used to represent numbers in computers for hardware reasons.

Powers of one

The powers of one are all one: 1ⁿ = 1.

Powers of zero

If the exponent is positive, the power of zero is zero: 0ⁿ = 0, where n > 0.

If the exponent is negative, the power of zero (0ⁿ, where n < 0) is undefined, because division by zero is implied.

If the exponent is zero, some authors define 0⁰ = 1, whereas others leave it undefined, as discussed at Zero to the power of zero.

Powers of minus one

If n is an even integer, then (-1)ⁿ = 1.

If n is an odd integer, then (-1)ⁿ = -1.

Because of this, powers of -1 are useful for expressing alternating sequences. For a similar discussion of powers of the complex number i, see § Powers of complex numbers.

Large exponents

The limit of a sequence of powers of a number greater than one diverges; in other words, the sequence grows without bound:

bⁿ -> ? as n -> ? when b > 1

This can be read as "b to the power of n tends to +? as n tends to infinity when b is greater than one".

Powers of a number with absolute value less than one tend to zero:

bⁿ -> 0 as n -> ? when |b| < 1

Any power of one is always one:

bⁿ = 1 for all n if b = 1

Powers of -1 alternate between 1 and -1 as n alternates between even and odd, and thus do not tend to any limit as n grows.

If b < -1, bⁿ, alternates between larger and larger positive and negative numbers as n alternates between even and odd, and thus does not tend to any limit as n grows.

If the exponentiated number varies while tending to 1 as the exponent tends to infinity, then the limit is not necessarily one of those above. A particularly important case is

(1 + 1/n)ⁿ -> e as n -> ?

See § The exponential function below.

Other limits, in particular those of expressions that take on an indeterminate form, are described in § Limits of powers below.

Power functions

Real functions of the form ${\displaystyle f(x)=cx^{n}}$ with ${\displaystyle c\neq 0}$ are sometimes called power functions. When ${\displaystyle n}$ is an integer and ${\displaystyle n\geq 1}$, two primary families exist: for ${\displaystyle n}$ even, and for ${\displaystyle n}$ odd. In general for ${\displaystyle c>0}$, when ${\displaystyle n}$ is even ${\displaystyle f(x)=cx^{n}}$ will tend towards positive infinity with increasing ${\displaystyle x}$, and also towards positive infinity with decreasing ${\displaystyle x}$. All graphs from the family of even power functions have the general shape of ${\displaystyle y=cx^{2}}$, flattening more in the middle as ${\displaystyle n}$ increases. Functions with this kind of symmetry (${\displaystyle f(-x)=f(x)}$) are called even functions.

When ${\displaystyle n}$ is odd, ${\displaystyle f(x)}$'s asymptotic behavior reverses from positive ${\displaystyle x}$ to negative ${\displaystyle x}$. For ${\displaystyle c>0}$, ${\displaystyle f(x)=cx^{n}}$ will also tend towards positive infinity with increasing ${\displaystyle x}$, but towards negative infinity with decreasing ${\displaystyle x}$. All graphs from the family of odd power functions have the general shape of ${\displaystyle y=cx^{3}}$, flattening more in the middle as ${\displaystyle n}$ increases and losing all flatness there in the straight line for ${\displaystyle n=1}$. Functions with this kind of symmetry (${\displaystyle f(-x)=-f(x)}$) are called odd functions.

For ${\displaystyle c<0}$, the opposite asymptotic behavior is true in each case.

List of whole-number powers

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Rational exponents

An nth root of a number b is a number x such that xⁿ = b.

If b is a positive real number and n is a positive integer, then there is exactly one positive real solution to xⁿ = b. This solution is called the principal nth root of b. It is denoted ⁿ?b, where ?   is the radical symbol; alternatively, the principal root may be written b^1/n. For example: 4^1/2 = 2, 8^1/3 = 2.

The fact that ${\displaystyle x=b^{1/n}}$ solves ${\displaystyle x^{n}=b}$ follows from noting that

${\displaystyle x^{n}=\underbrace {b^{\frac {1}{n}}\times b^{\frac {1}{n}}\times \cdots \times b^{\frac {1}{n}}} _{n}=b^{\left({\frac {1}{n}}+{\frac {1}{n}}+\cdots +{\frac {1}{n}}\right)}=b^{\frac {n}{n}}=b^{1}=b.}$

If n is even, then xⁿ = b has two real solutions if b is positive, which are the positive and negative nth roots, i.e., b^1/n > 0 and -(b^1/n) < 0. If b is negative, the equation has no solution in real numbers for even n.

If n is odd, then xⁿ = b has exactly one real solution. The solution b^1/n is positive if b is positive and negative if b is negative.

Taking a positive real number b to a rational exponent u/v, where u is an integer and v is a positive integer, and considering principal roots only, yields

${\displaystyle b^{\frac {u}{v}}=\left(b^{u}\right)^{\frac {1}{v}}={\sqrt[{v}]{b^{u}}}=\left(b^{\frac {1}{v}}\right)^{u}=\left({\sqrt[{v}]{b}}\right)^{u}.}$

Taking a negative real number b to a rational power u/v, where u/v is in lowest terms, yields a positive real result if u is even, and hence v is odd, because then b^u is positive; and yields a negative real result, if u and v are both odd, because then b^u is negative. The case of odd u and even v cannot be treated this way within the reals, since there is no real number x such that x^2k = -1, the value of b^u/v in this case must use the imaginary unit i, as described more fully in the section § Powers of complex numbers.

Thus we have (-27)^1/3 = -3 and (-27)^2/3 = 9. The number 4 has two 3/2th powers, namely 8 and -8; however, by convention the notation 4^3/2 employs the principal root, and results in 8. For employing the v-th root the u/v-th power is also called the u/v-th root, and for even v the term principal root denotes also the positive result.

This sign ambiguity needs to be taken care of when applying the power identities. For instance:

${\displaystyle -27=(-27)^{((2/3)(3/2))}=((-27)^{2/3})^{3/2}=9^{3/2}=27}$

is clearly wrong. The problem starts already in the first equality by introducing a standard notation for an inherently ambiguous situation -asking for an even root- and simply relying wrongly on only one, the conventional or principal interpretation. The same problem occurs also with an inappropriately introduced surd-notation, inherently enforcing a positive result:

${\displaystyle ((-27)^{2/3})^{3/2}={\sqrt {\left({\sqrt[{3}]{(-27)^{2}}}\right)^{3}}}={\sqrt {(-27)^{2}}}\neq -27}$

instead of

${\displaystyle ((-27)^{2/3})^{3/2}=-{\sqrt {\left({\sqrt[{3}]{(-27)^{2}}}\right)^{3}}}=-{\sqrt {(-27)^{2}}}=-27.}$

In general the same sort of problems occur for complex numbers as described in the section § Failure of power and logarithm identities.

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Real exponents

The identities and properties shown above for integer exponents are true for positive real numbers with non-integer exponents as well. However the identity

${\displaystyle (b^{r})^{s}=b^{r\cdot s}}$

cannot be extended consistently to cases where b is a negative real number (see § Real exponents with negative bases). The failure of this identity is the basis for the problems with complex number powers detailed under § Failure of power and logarithm identities.

Exponentiation to real powers of positive real numbers can be defined either by extending the rational powers to reals by continuity, or more usually as given in § Powers via logarithms below.

Limits of rational exponents

Since any irrational number can be expressed as the limit of a sequence of rational numbers, exponentiation of a positive real number b with an arbitrary real exponent x can be defined by continuity with the rule

${\displaystyle b^{x}=\lim _{r(\in \mathbb {Q} )\to x}b^{r}\quad (b\in \mathbb {R} ^{+},\,x\in \mathbb {R} )}$

where the limit as r gets close to x is taken only over rational values of r. This limit only exists for positive b. The (?, ?)-definition of limit is used; this involves showing that for any desired accuracy of the result b^x one can choose a sufficiently small interval around x so all the rational powers in the interval are within the desired accuracy.

For example, if x = ?, the nonterminating decimal representation ? = 3.14159... can be used (based on strict monotonicity of the rational power) to obtain the intervals bounded by rational powers

${\displaystyle [b^{3},b^{4}]}$, ${\displaystyle [b^{3.1},b^{3.2}]}$, ${\displaystyle [b^{3.14},b^{3.15}]}$, ${\displaystyle [b^{3.141},b^{3.142}]}$, ${\displaystyle [b^{3.1415},b^{3.1416}]}$, ${\displaystyle [b^{3.14159},b^{3.14160}]}$, ...

The bounded intervals converge to a unique real number, denoted by ${\displaystyle b^{\pi }}$. This technique can be used to obtain the power of a positive real number b for any irrational exponent. The function f_b(x) = b^x is thus defined for any real number x.

The exponential function

The important mathematical constant e, sometimes called Euler's number, is approximately equal to 2.718 and is the base of the natural logarithm. Although exponentiation of e could, in principle, be treated the same as exponentiation of any other real number, such exponentials turn out to have particularly elegant and useful properties. Among other things, these properties allow exponentials of e to be generalized in a natural way to other types of exponents, such as complex numbers or even matrices, while coinciding with the familiar meaning of exponentiation with rational exponents.

As a consequence, the notation e^x usually denotes a generalized exponentiation definition called the exponential function, exp(x), which can be defined in many equivalent ways, for example by:

${\displaystyle \exp(x)=\lim _{n\rightarrow \infty }\left(1+{\frac {x}{n}}\right)^{n}}$

Among other properties, exp satisfies the exponential identity

${\displaystyle \exp(x+y)=\exp(x)\cdot \exp(y).}$

The exponential function is defined for all integer, fractional, real, and complex values of x. In fact, the matrix exponential is well-defined for square matrices (in which case this exponential identity only holds when x and y commute), and is useful for solving systems of linear differential equations.

Since exp(1) is equal to e and exp(x) satisfies this exponential identity, it immediately follows that exp(x) coincides with the repeated-multiplication definition of e^x for integer x, and it also follows that rational powers denote (positive) roots as usual, so exp(x) coincides with the e^x definitions in the previous section for all real x by continuity.

Powers via logarithms

The natural logarithm ln(x) is the inverse of the exponential function e^x. It is defined for b > 0, and satisfies

${\displaystyle b=e^{\ln b}}$

If b^x is to preserve the logarithm and exponent rules, then one must have

${\displaystyle b^{x}=(e^{\ln b})^{x}=e^{x\cdot \ln b}}$

for each real number x.

This can be used as an alternative definition of the real number power b^x and agrees with the definition given above using rational exponents and continuity. The definition of exponentiation using logarithms is more common in the context of complex numbers, as discussed below.

Real exponents with negative bases

Powers of a positive real number are always positive real numbers. The solution of x² = 4, however, can be either 2 or -2. The principal value of 4^1/2 is 2, but -2 is also a valid square root. If the definition of exponentiation of real numbers is extended to allow negative results then the result is no longer well-behaved.

Neither the logarithm method nor the rational exponent method can be used to define b^r as a real number for a negative real number b and an arbitrary real number r. Indeed, e^r is positive for every real number r, so ln(b) is not defined as a real number for b <= 0.

The rational exponent method cannot be used for negative values of b because it relies on continuity. The function f(r) = b^r has a unique continuous extension from the rational numbers to the real numbers for each b > 0. But when b < 0, the function f is not even continuous on the set of rational numbers r for which it is defined.

For example, consider b = -1. The nth root of -1 is -1 for every odd natural number n. So if n is an odd positive integer, (-1)^(m/n) = -1 if m is odd, and (-1)^(m/n) = 1 if m is even. Thus the set of rational numbers q for which (-1)^q = 1 is dense in the rational numbers, as is the set of q for which (-1)^q = -1. This means that the function (-1)^q is not continuous at any rational number q where it is defined.

On the other hand, arbitrary complex powers of negative numbers b can be defined by choosing a complex logarithm of b.

Irrational exponents

If a is a positive algebraic number, and b is a rational number, it has been shown above that a^b is algebraic. This remains true even if one accepts any algebraic number for a, with the only difference that a^b may take several values (see below), all algebraic. The Gelfond-Schneider theorem provides some information on the nature of a^b when b is irrational (that is, not rational). It states:

If a is an algebraic number different from 0 and 1, and b an irrational algebraic number, then all the values of a^b are transcendental numbers (that is, not algebraic).

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Complex exponents with positive real bases

Imaginary exponents with base e

A complex number is an expression of the form ${\displaystyle z=x+iy}$, where x and y are real numbers, and i is the so-called imaginary unit, a number that satisfies the rule ${\displaystyle i^{2}=-1}$. A complex number can be visualized as a point in the (x,y) plane. The polar coordinates of a point in the (x,y) plane consist of a non-negative real number r and angle ? such that x = r cos ? and y = r sin ?. So

${\displaystyle x+iy=r(\cos \theta +i\sin \theta ).}$

The product of two complex numbers z₁ = x₁ + iy₁, z₂ = x₂ + iy₂ is obtained by expanding out the product of the binomials and simplifying using the rule ${\displaystyle i^{2}=-1}$:

${\displaystyle z_{1}z_{2}=(x_{1}+iy_{1})(x_{2}+iy_{2})=(x_{1}x_{2}-y_{1}y_{2})+i(x_{1}y_{2}+x_{2}y_{1}).}$

As a consequence of the angle sum formulas of trigonometry, if z₁ and z₂ have polar coordinates (r₁, ?₁), (r₂, ?₂), then their product z₁z₂ has polar coordinates equal to (r₁r₂, ?₁ + ?₂).

Consider the right triangle in the complex plane which has 0, 1, 1 + ix/n as vertices. For large values of n, the triangle is almost a circular sector with a radius of 1 and a small central angle equal to x/n radians. 1 + ix/n may then be approximated by the number with polar coordinates (1, x/n). So, in the limit as n approaches infinity, (1 + ix/n)ⁿ approaches (1, x/n)ⁿ = (1ⁿ, nx/n) = (1, x), the point on the unit circle whose angle from the positive real axis is x radians. The Cartesian coordinates of this point are (cos x, sin x). So e ^ix = cos x + isin x; this is Euler's formula, connecting algebra to trigonometry by means of complex numbers.

The solutions to the equation e^z = 1 are the integer multiples of 2?i:

${\displaystyle \{z:e^{z}=1\}=\{2k\pi i:k\in \mathbb {Z} \}}$

More generally, if e^v = w, then every solution to e^z = w can be obtained by adding an integer multiple of 2?i to v:

${\displaystyle \{z:e^{z}=w\}=\{v+2k\pi i:k\in \mathbb {Z} \}}$

Thus the complex exponential function is a periodic function with period 2?i.

More simply: e^i? = -1; e^{x + iy} = e^x(cos y + i sin y).

Trigonometric functions

It follows from Euler's formula stated above that the trigonometric functions cosine and sine are

${\displaystyle \cos(z)={\frac {e^{iz}+e^{-iz}}{2}};\qquad \sin(z)={\frac {e^{iz}-e^{-iz}}{2i}}}$

Before the invention of complex numbers, cosine and sine were defined geometrically. The above formula reduces the complicated formulas for trigonometric functions of a sum into the simple exponentiation formula

${\displaystyle e^{i(x+y)}=e^{ix}\cdot e^{iy}}$

Using exponentiation with complex exponents may reduce problems in trigonometry to algebra.

Complex exponents with base e

The power z = e^{x + iy} can be computed as e^x ? e^iy. The real factor e^x is the absolute value of z and the complex factor e^iy identifies the direction of z.

Complex exponents with positive real bases

If b is a positive real number, and z is any complex number, the power b^z is defined as e^{z ? ln(b)}, where x = ln(b) is the unique real solution to the equation e^x = b. So the same method working for real exponents also works for complex exponents.

For example:

${\displaystyle 2^{i}=e^{i\ln(2)}=\cos(\ln(2))+i\sin(\ln(2))\approx 0.76924+0.63896i}$

${\displaystyle e^{i}\approx 0.54030+0.84147i}$

${\displaystyle (e^{2\pi })^{i}={535.49176\dots }^{i}=1}$

The identity (b^z)^u=b^zu is not generally valid for complex powers. The power b^z is a complex number and any power of it has to follow the rules for powers of complex numbers below. A simple counterexample is given by:

${\displaystyle (e^{2\pi i})^{i}=1^{i}=1\neq e^{-2\pi }=e^{2\pi i\cdot i}}$

The identity is, however, valid for arbitrary complex ${\displaystyle z}$ when ${\displaystyle u}$ is an integer.

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Powers of complex numbers

Integer powers of nonzero complex numbers are defined by repeated multiplication or division as above. If i is the imaginary unit and n is an integer, then iⁿ equals 1, i, -1, or -i, according to whether the integer n is congruent to 0, 1, 2, or 3 modulo 4. Because of this, the powers of i are useful for expressing sequences of period 4.

Complex powers of positive reals are defined via e^x as in section Complex exponents with positive real bases above. These are continuous functions.

Trying to extend these functions to the general case of noninteger powers of complex numbers that are not positive reals leads to difficulties. Either we define discontinuous functions or multivalued functions. Neither of these options is entirely satisfactory.

The rational power of a complex number must be the solution to an algebraic equation. Therefore, it always has a finite number of possible values. For example, w = z^1/2 must be a solution to the equation w² = z. But if w is a solution, then so is -w, because (-1)² = 1. A unique but somewhat arbitrary solution called the principal value can be chosen using a general rule which also applies for nonrational powers.

Complex powers and logarithms are more naturally handled as single valued functions on a Riemann surface. Single valued versions are defined by choosing a sheet. The value has a discontinuity along a branch cut. Choosing one out of many solutions as the principal value leaves us with functions that are not continuous, and the usual rules for manipulating powers can lead us astray.

Any nonrational power of a complex number has an infinite number of possible values because of the multi-valued nature of the complex logarithm. The principal value is a single value chosen from these by a rule which, amongst its other properties, ensures powers of complex numbers with a positive real part and zero imaginary part give the same value as does the rule defined above for the corresponding real base.

Exponentiating a real number to a complex power is formally a different operation from that for the corresponding complex number. However, in the common case of a positive real number the principal value is the same.

The powers of negative real numbers are not always defined and are discontinuous even where defined. In fact, they are only defined when the exponent is a rational number with the denominator being an odd integer. When dealing with complex numbers the complex number operation is normally used instead.

Complex exponents with complex bases

For complex numbers w and z with w ? 0, the notation w^z is ambiguous in the same sense that log w is.

To obtain a value of w^z, first choose a logarithm of w; call it log w. Such a choice may be the principal value Log w (the default, if no other specification is given), or perhaps a value given by some other branch of log w fixed in advance. Then, using the complex exponential function one defines

${\displaystyle w^{z}=e^{z\log w}}$

because this agrees with the earlier definition in the case where w is a positive real number and the (real) principal value of log w is used.

If z is an integer, then the value of w^z is independent of the choice of log w, and it agrees with the earlier definition of exponentiation with an integer exponent.

If z is a rational number m/n in lowest terms with z > 0, then the countably infinitely many choices of log w yield only n different values for w^z; these values are the n complex solutions s to the equation sⁿ = w^m.

If z is an irrational number, then the countably infinitely many choices of log w lead to infinitely many distinct values for w^z.

The computation of complex powers is facilitated by converting the base w to polar form, as described in detail below.

A similar construction is employed in quaternions.

Complex roots of unity

A complex number w such that wⁿ = 1 for a positive integer n is an nth root of unity. Geometrically, the nth roots of unity lie on the unit circle of the complex plane at the vertices of a regular n-gon with one vertex on the real number 1.

If wⁿ = 1 but w^k ? 1 for all natural numbers k such that 0 < k < n, then w is called a primitive nth root of unity. The negative unit -1 is the only primitive square root of unity. The imaginary unit i is one of the two primitive 4th roots of unity; the other one is -i.

The number e^2?i/n is the primitive nth root of unity with the smallest positive argument. (It is sometimes called the principal nth root of unity, although this terminology is not universal and should not be confused with the principal value of ⁿ?1, which is 1.)

The other nth roots of unity are given by

${\displaystyle \left(e^{{\frac {2}{n}}\pi i}\right)^{k}=e^{{\frac {2}{n}}\pi ik}}$

for 2 <= k <= n.

Roots of arbitrary complex numbers

Although there are infinitely many possible values for a general complex logarithm, there are only a finite number of values for the power w^q in the important special case where q = 1/n and n is a positive integer. These are the nth roots of w; they are solutions of the equation zⁿ = w. As with real roots, a second root is also called a square root and a third root is also called a cube root.

It is conventional in mathematics to define w^1/n as the principal value of the root. If w is a positive real number, it is also conventional to select a positive real number as the principal value of the root w^1/n. For general complex numbers, the nth root with the smallest argument is often selected as the principal value of the nth root operation, as with principal values of roots of unity.

The set of nth roots of a complex number w is obtained by multiplying the principal value w^1/n by each of the nth roots of unity. For example, the fourth roots of 16 are 2, -2, 2i, and -2i, because the principal value of the fourth root of 16 is 2 and the fourth roots of unity are 1, -1, i, and -i.

Computing complex powers

It is often easier to compute complex powers by writing the number to be exponentiated in polar form. Every complex number z can be written in the polar form

${\displaystyle z=re^{i\theta }=e^{\log(r)+i\theta }}$

where r is a nonnegative real number and ? is the (real) argument of z. The polar form has a simple geometric interpretation: if a complex number u + iv is thought of as representing a point (u, v) in the complex plane using Cartesian coordinates, then (r, ?) is the same point in polar coordinates. That is, r is the "radius" r² = u² + v² and ? is the "angle" ? = atan2(v, u). The polar angle ? is ambiguous since any integer multiple of 2? could be added to ? without changing the location of the point. Each choice of ? gives in general a different possible value of the power. A branch cut can be used to choose a specific value. The principal value (the most common branch cut), corresponds to ? chosen in the interval (-?, ?]. For complex numbers with a positive real part and zero imaginary part using the principal value gives the same result as using the corresponding real number.

In order to compute the complex power w^z, write w in polar form:

${\displaystyle w=re^{i\theta }}$

Then

${\displaystyle \log(w)=\log(r)+i\theta }$

and thus

${\displaystyle w^{z}=e^{z\log(w)}=e^{z(\log(r)+i\theta )}}$

If z is decomposed as c + di, then the formula for w^z can be written more explicitly as

${\displaystyle \left(r^{c}e^{-d\theta }\right)e^{i(d\log(r)+c\theta )}=\left(r^{c}e^{-d\theta }\right)\left[\cos(d\log(r)+c\theta )+i\sin(d\log(r)+c\theta )\right]}$

This final formula allows complex powers to be computed easily from decompositions of the base into polar form and the exponent into Cartesian form. It is shown here both in polar form and in Cartesian form (via Euler's identity).

The following examples use the principal value, the branch cut which causes ? to be in the interval (-?, ?]. To compute iⁱ, write i in polar and Cartesian forms:

${\displaystyle {\begin{aligned}i&=1\cdot e^{{\frac {1}{2}}i\pi }\\i&=0+1i\end{aligned}}}$

Then the formula above, with r = 1, ? = ?/2, c = 0, and d = 1, yields:

${\displaystyle i^{i}=\left(1^{0}e^{-{\frac {1}{2}}\pi }\right)e^{i\left[1\cdot \log(1)+0\cdot {\frac {1}{2}}\pi \right]}=e^{-{\frac {1}{2}}\pi }\approx 0.2079}$

Similarly, to find (-2)^{3 + 4i}, compute the polar form of -2,

${\displaystyle -2=2e^{i\pi }}$

and use the formula above to compute

${\displaystyle (-2)^{3+4i}=\left(2^{3}e^{-4\pi }\right)e^{i[4\log(2)+3\pi ]}\approx (2.602-1.006i)\cdot 10^{-5}}$

The value of a complex power depends on the branch used. For example, if the polar form i = 1e^5?i/2 is used to compute iⁱ, the power is found to be e^-5?/2; the principal value of iⁱ, computed above, is e^-?/2. The set of all possible values for iⁱ is given by:

${\displaystyle {\begin{aligned}i&=1\cdot e^{{\frac {1}{2}}i\pi +i2\pi k}{\big |}k\in \mathbb {Z} \\i^{i}&=e^{i\left({\frac {1}{2}}i\pi +i2\pi k\right)}\\&=e^{-\left({\frac {1}{2}}\pi +2\pi k\right)}\end{aligned}}}$

So there is an infinity of values which are possible candidates for the value of iⁱ, one for each integer k. All of them have a zero imaginary part so one can say iⁱ has an infinity of valid real values.

Failure of power and logarithm identities

Some identities for powers and logarithms for positive real numbers will fail for complex numbers, no matter how complex powers and complex logarithms are defined as single-valued functions. For example:

• The identity log(b^x) = x ? log b holds whenever b is a positive real number and x is a real number. But for the principal branch of the complex logarithm one has

  ${\displaystyle i\pi =\log(-1)=\log \left[(-i)^{2}\right]\neq 2\log(-i)=2\left(-{\frac {i\pi }{2}}\right)=-i\pi }$

  Regardless of which branch of the logarithm is used, a similar failure of the identity will exist. The best that can be said (if only using this result) is that:

  ${\displaystyle \log(w^{z})\equiv z\cdot \log(w){\pmod {2\pi i}}}$

  This identity does not hold even when considering log as a multivalued function. The possible values of log(w^z) contain those of z ? log w as a subset. Using Log(w) for the principal value of log(w) and m, n as any integers the possible values of both sides are:

  ${\displaystyle {\begin{aligned}\left\{\log(w^{z})\right\}&=\left\{z\cdot \operatorname {Log} (w)+z\cdot 2\pi in+2\pi im\right\}\\\left\{z\cdot \log(w)\right\}&=\left\{z\cdot \operatorname {Log} (w)+z\cdot 2\pi in\right\}\end{aligned}}}$

• The identities (bc)^x = b^xc^x and (b/c)^x = b^x/c^x are valid when b and c are positive real numbers and x is a real number. But a calculation using principal branches shows that

  ${\displaystyle 1=(-1\times -1)^{\frac {1}{2}}\not =(-1)^{\frac {1}{2}}(-1)^{\frac {1}{2}}=-1}$

  and

  ${\displaystyle i=(-1)^{\frac {1}{2}}=\left({\frac {1}{-1}}\right)^{\frac {1}{2}}\not ={\frac {1^{\frac {1}{2}}}{(-1)^{\frac {1}{2}}}}={\frac {1}{i}}=-i}$

  On the other hand, when x is an integer, the identities are valid for all nonzero complex numbers.

  If exponentiation is considered as a multivalued function then the possible values of (-1×-1)^1/2 are {1, -1}. The identity holds but saying {1} = {(-1×-1)^1/2} is wrong.

• The identity (e^x)^y = e^xy holds for real numbers x and y, but assuming its truth for complex numbers leads to the following paradox, discovered in 1827 by Clausen:

  For any integer n, we have:

  1. ${\displaystyle e^{1+2\pi in}=e^{1}e^{2\pi in}=e\cdot 1=e}$
  2. ${\displaystyle \left(e^{1+2\pi in}\right)^{1+2\pi in}=e}$
  3. ${\displaystyle e^{1+4\pi in-4\pi ^{2}n^{2}}=e}$
  4. ${\displaystyle e^{1}e^{4\pi in}e^{-4\pi ^{2}n^{2}}=e}$
  5. ${\displaystyle e^{-4\pi ^{2}n^{2}}=1}$

  but this is false when the integer n is nonzero.

  There are a number of problems in the reasoning:

  The major error is that changing the order of exponentiation in going from line two to three changes what the principal value chosen will be.

  From the multi-valued point of view, the first error occurs even sooner. Implicit in the first line is that e is a real number, whereas the result of e^1+2?in is a complex number better represented as e+0i. Substituting the complex number for the real on the second line makes the power have multiple possible values. Changing the order of exponentiation from lines two to three also affects how many possible values the result can have. ${\displaystyle \scriptstyle (e^{z})^{w}\;\neq \;e^{zw}}$, but rather ${\displaystyle \scriptstyle (e^{z})^{w}\;=\;e^{(z\,+\,2\pi in)w}}$ multivalued over integers n.

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Generalizations

Monoids

Exponentiation can be defined in any monoid. A monoid is an algebraic structure consisting of a set X together with a rule for composition ("multiplication") satisfying an associative law and a multiplicative identity, denoted by 1. Exponentiation is defined inductively by:

• ${\displaystyle x^{0}=1}$ for all ${\displaystyle x\in X}$
• ${\displaystyle x^{n+1}=x^{n}x}$ for all ${\displaystyle x\in X}$ and non-negative integers n
• If n is a negative integer then ${\displaystyle x^{n}}$ is only defined if ${\displaystyle x}$ has an inverse in X.

Monoids include many structures of importance in mathematics, including groups and rings (under multiplication), with more specific examples of the latter being matrix rings and fields.

Matrices and linear operators

If A is a square matrix, then the product of A with itself n times is called the matrix power. Also ${\displaystyle A^{0}}$ is defined to be the identity matrix, and if A is invertible, then ${\displaystyle A^{-n}=(A^{-1})^{n}}$.

Matrix powers appear often in the context of discrete dynamical systems, where the matrix A expresses a transition from a state vector x of some system to the next state Ax of the system. This is the standard interpretation of a Markov chain, for example. Then ${\displaystyle A^{2}x}$ is the state of the system after two time steps, and so forth: ${\displaystyle A^{n}x}$ is the state of the system after n time steps. The matrix power ${\displaystyle A^{n}}$ is the transition matrix between the state now and the state at a time n steps in the future. So computing matrix powers is equivalent to solving the evolution of the dynamical system. In many cases, matrix powers can be expediently computed by using eigenvalues and eigenvectors.

Apart from matrices, more general linear operators can also be exponentiated. An example is the derivative operator of calculus, ${\displaystyle d/dx}$, which is a linear operator acting on functions ${\displaystyle f(x)}$ to give a new function ${\displaystyle (d/dx)f(x)=f'(x)}$. The n-th power of the differentiation operator is the n-th derivative:

${\displaystyle \left({\frac {d}{dx}}\right)^{n}f(x)={\frac {d^{n}}{dx^{n}}}f(x)=f^{(n)}(x).}$

These examples are for discrete exponents of linear operators, but in many circumstances it is also desirable to define powers of such operators with continuous exponents. This is the starting point of the mathematical theory of semigroups. Just as computing matrix powers with discrete exponents solves discrete dynamical systems, so does computing matrix powers with continuous exponents solve systems with continuous dynamics. Examples include approaches to solving the heat equation, Schrödinger equation, wave equation, and other partial differential equations including a time evolution. The special case of exponentiating the derivative operator to a non-integer power is called the fractional derivative which, together with the fractional integral, is one of the basic operations of the fractional calculus.

Finite fields

A field is an algebraic structure in which multiplication, addition, subtraction, and division are all well-defined and satisfy their familiar properties. The real numbers, for example, form a field, as do the complex numbers and rational numbers. Unlike these familiar examples of fields, which are all infinite sets, some fields have only finitely many elements. The simplest example is the field with two elements ${\displaystyle F_{2}=\{0,1\}}$ with addition defined by ${\displaystyle 0+1=1+0=1}$ and ${\displaystyle 0+0=1+1=0}$, and multiplication ${\displaystyle 0\cdot 0=1\cdot 0=0\cdot 1=0}$ and ${\displaystyle 1\cdot 1=1}$.

Exponentiation in finite fields has applications in public key cryptography. For example, the Diffie-Hellman key exchange uses the fact that exponentiation is computationally inexpensive in finite fields, whereas the discrete logarithm (the inverse of exponentiation) is computationally expensive.

Any finite field F has the property that there is a unique prime number p such that ${\displaystyle px=0}$ for all x in F; that is, x added to itself p times is zero. For example, in ${\displaystyle F_{2}}$, the prime number p = 2 has this property. This prime number is called the characteristic of the field. Suppose that F is a field of characteristic p, and consider the function ${\displaystyle f(x)=x^{p}}$ that raises each element of F to the power p. This is called the Frobenius automorphism of F. It is an automorphism of the field because of the Freshman's dream identity ${\displaystyle (x+y)^{p}=x^{p}+y^{p}}$. The Frobenius automorphism is important in number theory because it generates the Galois group of F over its prime subfield.

In abstract algebra

Exponentiation for integer exponents can be defined for quite general structures in abstract algebra.

Let X be a set with a power-associative binary operation which is written multiplicatively. Then xⁿ is defined for any element x of X and any nonzero natural number n as the product of n copies of x, which is recursively defined by

${\displaystyle {\begin{aligned}x^{1}&=x\\x^{n}&=x^{n-1}x\quad {\hbox{for }}n>1\end{aligned}}}$

One has the following properties

${\displaystyle {\begin{aligned}(x^{i}x^{j})x^{k}&=x^{i}(x^{j}x^{k})\quad {\text{(power-associative property)}}\\x^{m+n}&=x^{m}x^{n}\\(x^{m})^{n}&=x^{mn}\end{aligned}}}$

If the operation has a two-sided identity element 1, then x⁰ is defined to be equal to 1 for any x.

${\displaystyle {\begin{aligned}x1&=1x=x\quad {\text{(two-sided identity)}}\\x^{0}&=1\end{aligned}}}$

If the operation also has two-sided inverses and is associative, then the magma is a group. The inverse of x can be denoted by x^-1 and follows all the usual rules for exponents.

${\displaystyle {\begin{aligned}xx^{-1}&=x^{-1}x=1\quad {\text{(two-sided inverse)}}\\(xy)z&=x(yz)\quad {\text{(associative)}}\\x^{-n}&=\left(x^{-1}\right)^{n}\\x^{m-n}&=x^{m}x^{-n}\end{aligned}}}$

If the multiplication operation is commutative (as for instance in abelian groups), then the following holds:

${\displaystyle (xy)^{n}=x^{n}y^{n}}$

If the binary operation is written additively, as it often is for abelian groups, then "exponentiation is repeated multiplication" can be reinterpreted as "multiplication is repeated addition". Thus, each of the laws of exponentiation above has an analogue among laws of multiplication.

When there are several power-associative binary operations defined on a set, any of which might be iterated, it is common to indicate which operation is being repeated by placing its symbol in the superscript. Thus, x^*n is x * ... * x, while x^#n is x # ... # x, whatever the operations * and # might be.

Superscript notation is also used, especially in group theory, to indicate conjugation. That is, g^h = h^-1gh, where g and h are elements of some group. Although conjugation obeys some of the same laws as exponentiation, it is not an example of repeated multiplication in any sense. A quandle is an algebraic structure in which these laws of conjugation play a central role.

Over sets

If n is a natural number and A is an arbitrary set, the expression Aⁿ is often used to denote the set of ordered n-tuples of elements of A. This is equivalent to letting Aⁿ denote the set of functions from the set {0, 1, 2, ..., n-1} to the set A; the n-tuple (a₀, a₁, a₂, ..., a_n-1) represents the function that sends i to a_i.

For an infinite cardinal number ? and a set A, the notation A^? is also used to denote the set of all functions from a set of size ? to A. This is sometimes written ^?A to distinguish it from cardinal exponentiation, defined below.

This generalized exponential can also be defined for operations on sets or for sets with extra structure. For example, in linear algebra, it makes sense to index direct sums of vector spaces over arbitrary index sets. That is, we can speak of

${\displaystyle \bigoplus _{i\in \mathbb {N} }V_{i}}$

where each V_i is a vector space.

Then if V_i = V for each i, the resulting direct sum can be written in exponential notation as V^?N, or simply V^N with the understanding that the direct sum is the default. We can again replace the set N with a cardinal number n to get Vⁿ, although without choosing a specific standard set with cardinality n, this is defined only up to isomorphism. Taking V to be the field R of real numbers (thought of as a vector space over itself) and n to be some natural number, we get the vector space that is most commonly studied in linear algebra, the real vector space Rⁿ.

If the base of the exponentiation operation is a set, the exponentiation operation is the Cartesian product unless otherwise stated. Since multiple Cartesian products produce an n-tuple, which can be represented by a function on a set of appropriate cardinality, S^N becomes simply the set of all functions from N to S in this case:

${\displaystyle S^{N}\equiv \{f\colon N\to S\}}$

This fits in with the exponentiation of cardinal numbers, in the sense that |S^N| = |S|^|N|, where |X| is the cardinality of X. When "2" is defined as {0, 1}, we have |2^X| = 2^|X|, where 2^X, usually denoted by P(X), is the power set of X; each subset Y of X corresponds uniquely to a function on X taking the value 1 for x ? Y and 0 for x ? Y.

In category theory

In a Cartesian closed category, the exponential operation can be used to raise an arbitrary object to the power of another object. This generalizes the Cartesian product in the category of sets. If 0 is an initial object in a Cartesian closed category, then the exponential object 0⁰ is isomorphic to any terminal object 1.

Of cardinal and ordinal numbers

In set theory, there are exponential operations for cardinal and ordinal numbers.

If ? and ? are cardinal numbers, the expression ?^? represents the cardinality of the set of functions from any set of cardinality ? to any set of cardinality ?. If ? and ? are finite, then this agrees with the ordinary arithmetic exponential operation. For example, the set of 3-tuples of elements from a 2-element set has cardinality 8 = 2³. In cardinal arithmetic, ?⁰ is always 1 (even if ? is an infinite cardinal or zero).

Exponentiation of cardinal numbers is distinct from exponentiation of ordinal numbers, which is defined by a limit process involving transfinite induction.

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Repeated exponentiation

Just as exponentiation of natural numbers is motivated by repeated multiplication, it is possible to define an operation based on repeated exponentiation; this operation is sometimes called hyper-4 or tetration. Iterating tetration leads to another operation, and so on, a concept named hyperoperation. This sequence of operations is expressed by the Ackermann function and Knuth's up-arrow notation. Just as exponentiation grows faster than multiplication, which is faster-growing than addition, tetration is faster-growing than exponentiation. Evaluated at (3, 3), the functions addition, multiplication, exponentiation, and tetration yield 6, 9, 27, and 7625597484987 (= 3²⁷ = 3³³ = ³3) respectively.

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Limits of powers

Zero to the power of zero gives a number of examples of limits that are of the indeterminate form 0⁰. The limits in these examples exist, but have different values, showing that the two-variable function x^y has no limit at the point (0, 0). One may consider at what points this function does have a limit.

More precisely, consider the function f(x, y) = x^y defined on D = {(x, y) ? R² : x > 0}. Then D can be viewed as a subset of R² (that is, the set of all pairs (x, y) with x, y belonging to the extended real number line R = [-?, +?], endowed with the product topology), which will contain the points at which the function f has a limit.

In fact, f has a limit at all accumulation points of D, except for (0, 0), (+?, 0), (1, +?) and (1, -?). Accordingly, this allows one to define the powers x^y by continuity whenever 0 <= x <= +?, -? <= y <= +?, except for 0⁰, (+?)⁰, 1^+? and 1^-?, which remain indeterminate forms.

Under this definition by continuity, we obtain:

• x^+? = +? and x^-? = 0, when 1 < x <= +?.
• x^+? = 0 and x^-? = +?, when 0 <= x < 1.
• 0^y = 0 and (+?)^y = +?, when 0 < y <= +?.
• 0^y = +? and (+?)^y = 0, when -? <= y < 0.

These powers are obtained by taking limits of x^y for positive values of x. This method does not permit a definition of x^y when x < 0, since pairs (x, y) with x < 0 are not accumulation points of D.

On the other hand, when n is an integer, the power xⁿ is already meaningful for all values of x, including negative ones. This may make the definition 0ⁿ = +? obtained above for negative n problematic when n is odd, since in this case xⁿ -> +? as x tends to 0 through positive values, but not negative ones.

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Efficient computation with integer exponents

Computing bⁿ using iterated multiplication requires n - 1 multiplication operations, but it can be computed more efficiently than that, as illustrated by the following example. To compute 2¹⁰⁰, note that 100 = 64 + 32 + 4. Compute the following in order:

1. 2² = 4
2. (2²)² = 2⁴ = 16
3. (2⁴)² = 2⁸ = 256
4. (2⁸)² = 2¹⁶ = 65,536
5. (2¹⁶)² = 2³² = 4,294,967,296
6. (2³²)² = 2⁶⁴ = 18,446,744,073,709,551,616
7. 2⁶⁴ 2³² 2⁴ = 2¹⁰⁰ = 1,267,650,600,228,229,401,496,703,205,376

This series of steps only requires 8 multiplication operations instead of 99 (since the last product above takes 2 multiplications).

In general, the number of multiplication operations required to compute bⁿ can be reduced to ?(log n) by using exponentiation by squaring or (more generally) addition-chain exponentiation. Finding the minimal sequence of multiplications (the minimal-length addition chain for the exponent) for bⁿ is a difficult problem for which no efficient algorithms are currently known (see Subset sum problem), but many reasonably efficient heuristic algorithms are available.

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Exponential notation for function names

Placing an integer superscript after the name or symbol of a function, as if the function were being raised to a power, commonly refers to repeated function composition rather than repeated multiplication. Thus, f ³(x) may mean f(f(f(x))); in particular, f ^-1(x) usually denotes the inverse function of f. Iterated functions are of interest in the study of fractals and dynamical systems. Babbage was the first to study the problem of finding a functional square root f ^1/2(x).

For historical reasons, this notation applied to the trigonometric and hyperbolic functions has a specific and diverse interpretation: a positive exponent applied to the function's abbreviation means that the result is raised to that power, while an exponent of -1 denotes the inverse function. That is, sin² x is just a shorthand way to write (sin x)² without using parentheses, whereas sin^-1 x refers to the inverse function of the sine, also called arcsin x. Each trigonometric and hyperbolic has its own name and abbreviation both for the reciprocal; for example, 1/(sin x) = (sin x)^-1 = csc x, as well as for its inverse, for example cosh^-1 x = arcosh x. A similar convention applies to logarithms, where log² x usually means (log x)², not log log x.

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In programming languages

The superscript notation x^y is convenient in handwriting but inconvenient for typewriters and computer terminals that align the baselines of all characters on each line. Many programming languages have alternate ways of expressing exponentiation that do not use superscripts:

• x ? y: Algol, Commodore BASIC
• x ^ y: AWK, BASIC, J, MATLAB, Wolfram Language (Mathematica), R, Microsoft Excel, Analytica, TeX (and its derivatives), TI-BASIC, bc (for integer exponents), Haskell (for nonnegative integer exponents), Lua and most computer algebra systems. Conflicting uses of the symbol ^ include: XOR (in POSIX Shell arithmetic expansion, AWK, C, C++, C#, D, Go, Java, JavaScript, Perl, PHP, Python, Ruby and Tcl), indirection (Pascal), and string concatenation (OCaml and Standard ML).
• x ^^ y: Haskell (for fractional base, integer exponents), D
• x ** y: Ada, Z shell, Korn shell, Bash, COBOL, CoffeeScript, Fortran, FoxPro, Gnuplot, OCaml, F#, Perl, PHP, PL/I, Python, Rexx, Ruby, SAS, Seed7, Tcl, ABAP, Mercury, Haskell (for floating-point exponents), Turing, VHDL
• pown x y: F# (for integer base, integer exponent)
• x?y: APL

Many other programming languages lack syntactic support for exponentiation, but provide library functions:

• pow(x, y): C, C++
• Math.Pow(x, y): C#

For certain exponents there are special ways to compute x^y much faster than through generic exponentiation. These cases include small positive and negative integers (prefer x*x over x²; prefer 1/x over x^-1) and roots (prefer sqrt(x) over x^0.5, prefer cbrt(x) over x^1/3).

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See also

References

External links

• "Introducing 0th power". PlanetMath. 
• Laws of Exponents with derivation and examples

Source of the article : Wikipedia