Exponentiation Exponents On Function Names Exponentiation In

The simplest case involves a positive integer exponent: For example, 3⁵ = 3 × 3 × 3 × 3 × 3 = 243. Here, 3 is the base, 5 is the exponent (written as a superscript), and 243 is 3 raised to the 5th power or 3 raised to the power 5. (The word "raised" is usually omitted, and most often "power" as well, so 3⁵ is typically pronounced "three to the fifth" or "three to the five".) Notice that the base 3 appears 5 times in the repeated multiplication, because the exponent is 5. In contexts where superscripts are not available, such as computer languages and e-mail, 3⁵ is commonly written "3^5" (with a caret), and sometimes as "3**5" (with two asterisks). Another way of writing it, and a good method available nowadays if you have access to Unicode encoding, is "3↑5" (with an up-arrow; HTML ↑).

The exponent 1 is not normally written, since any number to the power 1 is itself. The exponents 2 and 3 occur so commonly that there are short words for them: the powers are called the square and cube of the base, respectively. 3² is pronounced "three squared," and 3³ is "three cubed."

The meaning of 3⁵ may also be viewed as 1 × 3 × 3 × 3 × 3 × 3: the starting value 1 (the identity element of multiplication) is multiplied by the base, as many times as indicated by the exponent. With this definition in mind, it is easy to see how to generalize exponentiation to zero and negative exponents: any number to the 0 power is 1, and a negative exponent indicates repeated division by the base. Thus 3^-5 = 1 ÷ 3 ÷ 3 ÷ 3 ÷ 3 ÷ 3 = 1/243, and raising any nonzero number to the -1 power produces its reciprocal.

Raising 0 to a negative power would imply division by 0, and so is undefined. 0⁰ is sometimes taken as undefined, but is sensibly defined as 1; see the reference below.

Whereas addition or multiplication are commutative (for example, 2+3 = 5 = 3+2 and 2×3 = 6 = 3×2), this is not true of exponentiation: 2³ = 8 while 3² = 9. Similarly, whereas addition or multiplication are associative (for example, (2+3)+4 = 9 = 2+(3+4) and (2×3)×4 = 24 = 2×(3×4)), this is not true of exponentiation either: 2³ to the 4th power is 8⁴ or 4,096 ,while 2 to the 3⁴ power is 2⁸¹ or 2,417,851,639,229,258,349,412,352.

Powers of 10 are easy to compute: for example 10⁶ = 1 million, which is 1 followed by 6 zeros. Exponentiation with base 10 is often used in the physical sciencePhysical science is the branch of science including chemistry and physics, and sometimes contrasted with natural or biological science. Physical science includes the sub-branches of aerodynamics, astronomy and astrophysics, classical mechanics, civil engis to describe large or small numbers in scientific notationScientific notation standard index notation is floating-point notation with radix (base) 10. It is a concise way of recording numbers using integer powers of ten, that is used to record numbers which are notably large or small. Nonzero numbers are written; for example, 299792458 can be written as 2.99792458 × 10⁸ and then approximatedAn approximation is the intelligent guess based on the available information and on the degree of accuracy required. These values are nearly correct, but not exact. Science The scientific method is carried out with a constant interaction between scientifi as 2.998 × 10⁸ if this is useful.

They occur so commonly that SI prefixes are commonly reinterpreted to refer to them: 1 kilobyte = 2¹⁰ = 1024 bytes. As the standard meanings of the prefixes also occur, confusion may result, and the International Electrotechnical Commission has declared that the term for 1024 bytes should be kibibyte; but this has seen little acceptance.

So for example 8^2/3 = 4, and the 1/2 power of a non-negative number is its square root (positive or negative).

However, in the complex number field, it should be noted that logarithms are always multi-valued functions, usually with an imaginary periodicity. Therefore, expressions such as x^y are always similarly multi-valued. A "branch cut" may be created in the complex plane, if a single-valued logarithm or power is desired.

Most often, this branch cut is made along the negative real axis. The use of e^x in this context is usually assumed to use this "principle branch" of the logarithm, so the results correspond with that of the exponential function which satisfies analyticity constraints.

For more on exponents in real and complex numbers, and other situations relevant to mathematical analysis, see Exponential function. That article also lists certain exponential laws (more general than the algebraic laws listed below) that apply in these situations.

1 Exponents on function names

When the name or symbol of a function is given an integer superscript, as if being raised to a power, this commonly refers to repeated function composition rather than repeated multiplication. Thus f³(x) may mean f(f(f(x))); in particular, f^-1(x) usually denotes f's inverse function.

A special syntax applies to the trigonometric functions: a positive exponent applied to the function's abbreviation means that the result is raised to that power, while an exponent of -1 indicates the inverse function. That is, sin²x is just a shorthand way to write (sin x)² without using parentheses, whereas sin^-1x refers to the inverse function of the sine, also called arcsin x. There is no need for a shorthand of this kind for reciprocal trigonometric functions since they each have their own name and abbreviation already: (sin x)^-1 is normally just written as csc x.

2 Exponentiation in abstract algebra

Exponentiation can also be understood purely in terms of abstract algebra, if we limit the exponents to integers.

Specifically, suppose that X is a set with a power-associative binary operation, which we will write multiplicatively. In this very general situation, we can define xⁿ for any element x of X and any nonzero natural number n, by simply multiplying x by itself n times; by definition, power associativity means that it doesn't matter in which order we perform the multiplications.

Now additionally suppose that the operation has an identity element 1. Then we can define x⁰ to be equal to 1 for any x. Now xⁿ is defined for any natural number n, including 0.

Finally, suppose that the operation has inverses. Then we can define x^-n to be the inverse of xⁿ when n is a natural number. Now xⁿ is defined for any integer n.

In particular, xⁿ is defined for any integer n and any element x of a group. However, because we need only power associativity and not general associativity, the concept of exponentiation also makes sense in some other useful situations, such as the nonzero octonions.

Exponentiation in this purely algebraic sense satisfies the following laws (whenever both sides are defined):

x^m+n = x^mxⁿ
x^m-n = x^m/xⁿ
x^-n = 1/xⁿ = (1/x)ⁿ
x⁰ = 1
x¹ = x
x^-1 = 1/x
(x^m)ⁿ = x^mn

Here, we use a division slash ("/") to indicate multiplying by an inverse, in order to reserve the symbol x^-1 for raising x to the power -1, rather than the inverse of x. However, as one of the laws above states, x^-1 is always equal to the inverse of x, so the notation doesn't matter in the end.

If in addition the multiplication operation is commutative and alternative, then we have some additional laws:

(xy)ⁿ = xⁿyⁿ
(x/y)ⁿ = xⁿ/yⁿ

Here, alternativity is a condition stronger than power associativity but weaker than general associativity. So in particular, this law is satisfied in an Abelian group, such as the multiplicative group of elements from a given field that are distinct from zero.

Notice that in this algebraic context, 0⁰ is always equal to 1. When 0⁰ is attained as a limit, however, it may be more useful to leave 0⁰ undefined.

However, when exponentiation is purely algebraic, that is when the exponents are taken only to be integers, then it is generally most useful to let 0⁰ be 1, just like every other case of x⁰. For example, if you expand (0 + x)ⁿ using the binomial theorem, you'll want to use 0⁰ = 1.

If we take this whole theory of exponentiation in an algebraic context but write the binary operation additively, 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 one has several operations around, any of which might be repeated using exponentiation, 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.

Exponential 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.

3 Exponentiation over sets

The above algebraic treatment of exponentiation builds a finitary operation out of a binary operation. In more general contexts, one may be able to define an infinitary operation directly on an indexed set.

For example, in the arithmetic of cardinal numbers, it makes sense to say

for any index set I and cardinal numbers k_i. By taking k_i = k for every i, this can be interpreted as a repeated product, and the result is k^I. In fact, this result depends only on the cardinality of I, so we can define exponentiation of cardinal numbers so that k^l is k^I for any set I whose cardinality is l.

This can be done even for operations on sets or 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

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^(+)I, or simply V^I with the understanding that the direct sum is the default. We can again replace the set I with a cardinal number k to get V^k, although without choosing a specific standard set with cardinality k, 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 k to be some natural number n, we get the vector space that is most commonly studied in linear algebra, the Euclidean space Rⁿ.

If the base of the exponentiation operation is itself a set, then by default we assume the operation to be the Cartesian product. In that case, S^I becomes simply the set of all functions from I to S. This fits in with the exponentiation of cardinal numbers once gain, in the sense that |S^I| = |S|^|I|, where |X| is the cardinality of X. When I=2={0,1}, we have |2^X| = 2^|X|, where 2^X, usually denoted by PX, is the power set of X. (This is where the term "power set" comes from.)

Note that exponentiation of cardinal numbers doesn't match up with exponentiation of ordinal numbers, which is defined by a limit process. In the ordinal numbers, a^b is the smallest ordinal number greater than a^c for c < b when b is a limit ordinal, and of course a^b+1 := a^ba.

In category theory, we learn to raise any object in a wide variety of categories to the power of a set, or even to raise an object to the power of an object, using the exponential.

4 Table

Table of kⁿ, with k on the left and n at the top.

	1	2	3	4	5	6	7	8	9	10
1	1	1	1	1	1	1	1	1	1	1
2	2	4	8	16	32	64	128	256	512	1,024
3	3	9	27	81	243	729	2,187	6,561	19,683	59,049
4	4	16	64	256	1,024	4,096	16,384	65,536	262,144	1,048,576
5	5	25	125	625	3,125	15,625	78,125	390,625	1,953,125	9,765,625
6	6	36	216	1,296	7,776	46,656	279,936	1,679,616	10,077,696	60,466,176
7	7	49	343	2,401	16,807	117,649	823,543	5,764,801	40,353,607	282,475,249
8	8	64	512	4,096	32,768	262,144	2,097,152	16,777,216	134,217,728	1,073,741,824
9	9	81	729	6,561	59,049	531,441	4,782,969	43,046,721	387,420,489	3,486,784,401
10	10	100	1,000	10,000	100,000	1,000,000	10,000,000	100,000,000	1,000,000,000	10,000,000,000

5 See also

6 External link

sci.math FAQ: What is 0⁰?

Exponentials

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