Identity element
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In mathematics, an identity element or neutral element is a special type of element of a set with respect to a binary operation on that set, which leaves any element of the set unchanged when combined with it. This concept is used in algebraic structures such as groups and rings. The term identity element is often shortened to identity (as will be done in this article) when there is no possibility of confusion, but the identity implicitly depends on the binary operation it is associated with.
Let (S, ∗) be a set S with a binary operation ∗ on it. Then an element e of S is called a left identity if e ∗ a = a for all a in S, and a right identity if a ∗ e = a for all a in S. If e is both a left identity and a right identity, then it is called a two-sided identity, or simply an identity.
An identity with respect to addition is called an additive identity (often denoted as 0) and an identity with respect to multiplication is called a multiplicative identity (often denoted as 1). These need not be ordinary addition and multiplication, but rather arbitrary operations. The distinction is used most often for sets that support both binary operations, such as rings and fields. The multiplicative identity is often called unity in the latter context (a ring with unity). This should not be confused with a unit in ring theory, which is any element having a multiplicative inverse. Unity itself is necessarily a unit.
Contents
Examples[edit]
Set | Operation | Identity |
---|---|---|
Real numbers | + (addition) | 0 |
Real numbers | · (multiplication) | 1 |
Positive integers | Least common multiple | 1 |
Non-negative integers | Greatest common divisor | 0 (under most definitions of GCD) |
m-by-n matrices | Matrix addition | Zero matrix |
n-by-n square matrices | Matrix multiplication | I_{n} (identity matrix) |
m-by-n matrices | ○ (Hadamard product) | J_{m, n} (matrix of ones) |
All functions from a set, M, to itself | ∘ (function composition) | Identity function |
All distributions on a group, G | ∗ (convolution) | δ (Dirac delta) |
Extended real numbers | Minimum/infimum | +∞ |
Extended real numbers | Maximum/supremum | −∞ |
Subsets of a set M | ∩ (intersection) | M |
Sets | ∪ (union) | ∅ (empty set) |
Strings, lists | Concatenation | Empty string, empty list |
A Boolean algebra | ∧ (logical and) | ⊤ (truth) |
A Boolean algebra | ∨ (logical or) | ⊥ (falsity) |
A Boolean algebra | ⊕ (exclusive or) | ⊥ (falsity) |
Knots | Knot sum | Unknot |
Compact surfaces | # (connected sum) | S^{2} |
Groups | Direct product | Trivial group |
Two elements, {e, f} | ∗ defined by e ∗ e = f ∗ e = e and f ∗ f = e ∗ f = f |
Both e and f are left identities, but there is no right identity and no two-sided identity |
Homogeneous relations on a set X | Relative product | Identity relation |
Properties[edit]
As the last example (a semigroup) shows, it is possible for (S, ∗) to have several left identities. In fact, every element can be a left identity. Similarly, there can be several right identities. But if there is both a right identity and a left identity, then they are equal and there is just a single two-sided identity. To see this, note that if l is a left identity and r is a right identity then l = l ∗ r = r. In particular, there can never be more than one two-sided identity. If there were two, e and f, then e ∗ f would have to be equal to both e and f.
It is also quite possible for (S, ∗) to have no identity element. A common example of this is the cross product of vectors; in this case, the absence of an identity element is related to the fact that the direction of any nonzero cross product is always orthogonal to any element multiplied – so that it is not possible to obtain a non-zero vector in the same direction as the original. Another example would be the additive semigroup of positive natural numbers.
See also[edit]
- Absorbing element
- Additive inverse
- Generalized inverse
- Inverse element
- Monoid
- Pseudo-ring
- Quasigroup
- Unital (disambiguation)
References[edit]
- M. Kilp, U. Knauer, A.V. Mikhalev, Monoids, Acts and Categories with Applications to Wreath Products and Graphs, De Gruyter Expositions in Mathematics vol. 29, Walter de Gruyter, 2000, ISBN 3-11-015248-7, p. 14–15