The integers (from the Latin integer, literally "untouched", hence "whole": the word entire comes from the same origin, but via French) are the set of numbers consisting of the natural numbers including 0 (0, 1, 2, 3, ...) and their negatives (0, −1, −2, −3, ...). They are numbers that can be written without a fractional or decimal component, and fall within the set {... −2, −1, 0, 1, 2, ...}. For example, 65, 7, and −756 are integers; 1.6 and 1½ are not integers. In other terms, integers are the numbers one can count with items such as apples or fingers, and their negatives, including 0.
More formally, the integers are the only integral domain whose positive elements are well-ordered, and in which order is preserved by addition. Like the natural numbers, the integers form a countably infinite set. The set of all integers is often denoted by a boldface Z (or blackboard bold , Unicode U+2124 ℤ), which stands for Zahlen (German for numbers, pronounced "tsAH-len").
In algebraic number theory, these commonly understood integers, embedded in the field of rational numbers, are referred to as rational integers to distinguish them from the more broadly defined algebraic integers.
The following lists some of the basic properties of addition and multiplication for any integers a, b and c.
| addition | multiplication | |
| closure: | a + b is an integer | a × b is an integer |
| associativity: | a + (b + c) = (a + b) + c | a × (b × c) = (a × b) × c |
| commutativity: | a + b = b + a | a × b = b × a |
| existence of an identity element: | a + 0 = a | a × 1 = a |
| existence of inverse elements: | a + (−a) = 0 | |
| distributivity: | a × (b + c) = (a × b) + (a × c) | |
| No zero divisors: | if a × b = 0, then either a = 0 or b = 0 (or both) | |
In the language of abstract algebra, the first five properties listed above for addition say that Z under addition is an abelian group. As a group under addition, Z is a cyclic group, since every nonzero integer can be written as a finite sum 1 + 1 + ... 1 or (−1) + (−1) + ... + (−1). In fact, Z under addition is the only infinite cyclic group, in the sense that any infinite cyclic group is isomorphic to Z.
The first four properties listed above for multiplication say that Z under multiplication is a commutative monoid. However, note that not every integer has a multiplicative inverse; e.g. there is no integer x such that because the left hand side is even, while the right hand side is odd. This means that Z under multiplication is not a group.
All the rules from the above property table, except for the last, taken together say that Z together with addition and multiplication is a commutative ring with unity. Adding the last property says that Z is an integral domain. In fact, Z provides the motivation for defining such a structure.
The lack of multiplicative inverses, which is equivalent to the fact that Z is not closed under division, means that Z is not a field. The smallest field containing the integers is the field of rational numbers. This process can be mimicked to form the field of fractions of any integral domain.
Although ordinary division is not defined on Z, it does possess an important property called the division algorithm: that is, given two integers a and b with b ≠ 0, there exist unique integers q and r such that and where | b | denotes the absolute value of b. The integer q is called the quotient and r is called the remainder, resulting from division of a by b. This is the basis for the Euclidean algorithm for computing greatest common divisors.
Again, in the language of abstract algebra, the above says that Z is a Euclidean domain. This implies that Z is a principal ideal domain and any positive integer can be written as the products of primes in an essentially unique way. This is the fundamental theorem of arithmetic.
The ordering of integers is compatible with the algebraic operations in the following way:
It follows that Z together with the above ordering is an ordered ring.
The intuition is that (a, b) stands for the result of subtracting b from a. To conform to our expectation that 1 − 2 and 4 − 5 denote the same number, we define an equivalence relation ~ on these pairs with the following rule:
Addition and multiplication of integers can be defined in terms of the equivalent operations on the natural numbers:
The negation (or additive inverse) of an integer is obtained by reversing the order of the pair:
Hence subtraction can be defined as the addition of the additive inverse:
The standard ordering on the integers is given by:
It is easily verified that these definitions are independent of the choice of representatives of the equivalence classes.
Taking 0 to be a natural number, the natural numbers may be considered to be integers by the embedding that maps n to [(n,0)], where [(a,b)] denotes the equivalence class having (a,b) as a member.
Typically, [(a,b)] is denoted by
This notation recovers the familiar representation of the integers as {...,−3,−2,−1,0,1,2,3,...}.
Some examples are:
0 &= [(0,0)] &= [(1,1)] &= cdots & &= [(k,k)]
1 &= [(1,0)] &= [(2,1)] &= cdots & &= [(k+1,k)]-1 &= [(0,1)] &= [(1,2)] &= cdots & &= [(k,k+1)]
2 &= [(2,0)] &= [(3,1)] &= cdots & &= [(k+2,k)]-2 &= [(0,2)] &= [(1,3)] &= cdots & &= [(k,k+2)] end{align}
An integer (sometimes known as an "int", from the name of a datatype in the C programming language) is often a primitive datatype in computer languages. However, integer datatypes can only represent a subset of all integers, since practical computers are of finite capacity. Also, in the common two's complement representation, the inherent definition of sign distinguishes between "negative" and "non-negative" rather than "negative, positive, and 0". (It is, however, certainly possible for a computer to determine whether an integer value is truly positive.)
Variable-length representations of integers, such as bignums, can store any integer that fits in the computer's memory. Other integer datatypes are implemented with a fixed size, usually a number of bits which is a power of 2 (4, 8, 16, etc.) or a memorable number of decimal digits (e.g., 9 or 10).
In contrast, theoretical models of digital computers, such as Turing machines, typically do not have infinite (but only unbounded finite) capacity.