In mathematics, a binary operation is commutative if changing the order of the operands does not change the result.
It is a fundamental property of many binary operations, and many mathematical proofs depend on it.
Most familiar as the name of the property that says something like  or , the property can also be used in more advanced settings.
The name is needed because there are operations, such as  division and subtraction, that do not have it (for example, ); such operations are not commutative, and so are referred to as noncommutative operations.
The idea that simple operations, such as the multiplication and addition of numbers, are commutative was for many years implicitly assumed.
Thus, this property was not named until the 19th century, when mathematics started to become formalized.
A corresponding property exists for binary relations; a binary relation is said to be symmetric if the relation applies regardless of the order of its operands; for example, equality is symmetric as two equal mathematical objects are equal regardless of their order.
Common uses
The commutative property (or commutative law) is a property generally associated with binary operations and functions.
If the commutative property holds for a pair of elements under a certain binary operation then the two elements are said to commute under that operation.
Mathematical definitions
A binary operation * on a set S is called commutative ifKrowne, p.1Weisstein, Commute, p.1 x * y = y * x\qquad\mbox{for all }x,y\in S.
An operation that does not satisfy the above property is called non-commutative.
One says that  commutes with  or that  and  commute under * if  x * y = y * x.
In other words, an operation is commutative if every pair of elements commute.
A binary function f \colon A \times A \to B is sometimes called commutative if f(x, y) = f(y, x)\qquad\mbox{for all }x,y\in A. Such a function is more commonly called a symmetric function.
Examples
Commutative operations in everyday life
thumb|The cumulation of apples, which can be seen as an addition of natural numbers, is commutative.
Putting on socks resembles a commutative operation since which sock is put on first is unimportant.
Either way, the result (having both socks on), is the same.
In contrast, putting on underwear and trousers is not commutative.
The commutativity of addition is observed when paying for an item with cash.
Regardless of the order the bills are handed over in, they always give the same total.
Commutative operations in mathematics
thumb|The addition of vectors is commutative, because \vec a+\vec b=\vec b+ \vec a.
Two well-known examples of commutative binary operations:
The addition of real numbers is commutative, since y + z = z + y \qquad\mbox{for all }y,z\in \mathbb{R} For example 4 + 5 = 5 + 4, since both expressions equal 9.
The multiplication of real numbers is commutative, since y z = z y \qquad\mbox{for all }y,z\in \mathbb{R} For example, 3 × 5 = 5 × 3, since both expressions equal 15.As a direct consequence of this, it also holds true that expressions on the form y% of z and z% of y are commutative for all real numbers y and z.
For example 64% of 50 = 50% of 64, since both expressions equal 32, and 30% of 50% = 50% of 30%, since both of those expressions equal 15%.
Some binary truth functions are also commutative, since the truth tables for the functions are the same when one changes the order of the operands.
For example, the logical biconditional function p ↔ q is equivalent to q ↔ p.
This function is also written as p IFF q, or as p ≡ q, or as Epq.
The last form is an example of the most concise notation in the article on truth functions, which lists the sixteen possible binary truth functions of which eight are commutative: Vpq = Vqp; Apq (OR) = Aqp; Dpq (NAND) = Dqp; Epq (IFF) = Eqp; Jpq = Jqp; Kpq (AND) = Kqp; Xpq (NOR) = Xqp; Opq = Oqp.
Further examples of commutative binary operations include addition and multiplication of complex numbers, addition and scalar multiplication of vectors, and intersection and union of sets.
Noncommutative operations in daily life
Concatenation, the act of joining character strings together, is a noncommutative operation.
For example,
Washing and drying clothes resembles a noncommutative operation; washing and then drying produces a markedly different result to drying and then washing.
Rotating a book 90° around a vertical axis then 90° around a horizontal axis produces a different orientation than when the rotations are performed in the opposite order.
The moves of any combination puzzle (such as the twists of a Rubik's Cube, for example) are noncommutative.
This can be studied using group theory.
Thought processes are noncommutative: A person asked a question (A) and then a question (B) may give different answers to each question than a person asked first (B) and then (A), because asking a question may change the person's state of mind.
The act of dressing is either commutative or non-commutative, depending on the items.
Putting on underwear and normal clothing is noncommutative.
Putting on left and right socks is commutative.
Shuffling a deck of cards is non-commutative.
Given two ways, A and B, of shuffling a deck of cards, doing A first and then B is in general not the same as doing B first and then A.
Noncommutative operations in mathematics
Some noncommutative binary operations: Division, subtraction, and exponentiation
Division is noncommutative, since 1 \div 2 \neq 2 \div 1.
Subtraction is noncommutative, since 0 - 1 \neq 1 - 0.
However it is classified more precisely as  anti-commutative, since 0 - 1 = - (1 - 0).
Exponentiation is noncommutative, since 2^3\neq3^2.
Truth functions
Some truth functions are noncommutative, since the truth tables for the functions are different when one changes the order of the operands.
For example, the truth tables for   and  are
Function composition of linear functions
Function composition of linear functions from the real numbers to the real numbers is almost always noncommutative.
For example, let f(x)=2x+1 and g(x)=3x+7.
Then
(f \circ g)(x) = f(g(x)) = 2(3x+7)+1 = 6x+15
and
(g \circ f)(x) = g(f(x)) = 3(2x+1)+7 = 6x+10
This also applies more generally for linear and affine transformations from a vector space to itself (see below for the Matrix representation).
Matrix multiplication
Matrix multiplication of square matrices is almost always noncommutative, for example:
\begin{bmatrix}     0 & 2 \\     0 & 1   \end{bmatrix} =   \begin{bmatrix}     1 & 1 \\     0 & 1   \end{bmatrix}    \begin{bmatrix}     0 & 1 \\     0 & 1   \end{bmatrix} \neq   \begin{bmatrix}     0 & 1 \\     0 & 1   \end{bmatrix}    \begin{bmatrix}     1 & 1 \\     0 & 1   \end{bmatrix} =   \begin{bmatrix}     0 & 1 \\     0 & 1   \end{bmatrix}
Vector product
The vector product (or cross product) of two vectors in three dimensions is anti-commutative; i.e., b × a =  −(a × b).
History and etymology
right|thumb|250px|The first known use of the term was in a French Journal published in 1814
Records of the implicit use of the commutative property go back to ancient times.
The Egyptians used the commutative property of multiplication to simplify computing products.
Euclid is known to have assumed the commutative property of multiplication in his book Elements.
O'Conner & Robertson Real Numbers Formal uses of the commutative property arose in the late 18th and early 19th centuries, when mathematicians began to work on a theory of functions.
Today the commutative property is a well-known and basic property used in most branches of mathematics.
The first recorded use of the term commutative was in a memoir by François Servois in 1814,O'Conner & Robertson, Servois which used the word commutatives when describing functions that have what is now called the commutative property.
The word is a combination of the French word commuter meaning "to substitute or switch" and the suffix -ative meaning "tending to" so the word literally means "tending to substitute or switch".
The term then appeared in English in 1838.
in Duncan Farquharson Gregory's article entitled "On the real nature of symbolical algebra" published in 1840 in the Transactions of the Royal Society of Edinburgh.
Propositional logic
Rule of replacement
In truth-functional propositional logic, commutation,Moore and Parker or commutativity refer to two valid rules of replacement.
The rules allow one to transpose propositional variables within logical expressions in logical proofs.
The rules are:
(P \lor Q) \Leftrightarrow (Q \lor P)
and
(P \land Q) \Leftrightarrow (Q \land P)
where "\Leftrightarrow" is a metalogical symbol representing "can be replaced in a proof with".
Truth functional connectives
Commutativity is a property of some logical connectives of truth functional propositional logic.
The following logical equivalences demonstrate that commutativity is a property of particular connectives.
The following are truth-functional tautologies.
;Commutativity of conjunction:(P \land Q) \leftrightarrow (Q \land P) ;Commutativity of disjunction:(P \lor Q) \leftrightarrow (Q \lor P) ;Commutativity of implication (also called the law of permutation):(P \to (Q \to R)) \leftrightarrow (Q \to (P \to R)) ;Commutativity of equivalence (also called the complete commutative law of equivalence):(P \leftrightarrow Q) \leftrightarrow (Q \leftrightarrow P) Set theory
In group and set theory, many algebraic structures are called commutative when certain operands satisfy the commutative property.
In higher branches of mathematics, such as analysis and linear algebra the commutativity of well-known operations (such as addition and multiplication on real and complex numbers) is often used (or implicitly assumed) in proofs.
Mathematical structures and commutativity
A commutative semigroup is a set endowed with a total, associative and commutative operation.
If the operation additionally has an identity element, we have a commutative monoid
An abelian group, or commutative group is a group whose group operation is commutative.
A commutative ring is a ring whose multiplication is commutative.
(Addition in a ring is always commutative.)
In a field both addition and multiplication are commutative.
Related properties
Associativity
The associative property is closely related to the commutative property.
The associative property of an expression containing two or more occurrences of the same operator states that the order operations are performed in does not affect the final result, as long as the order of terms does not change.
In contrast, the commutative property states that the order of the terms does not affect the final result.
Most commutative operations encountered in practice are also associative.
However, commutativity does not imply associativity.
A counterexample is the function
f(x, y) = \frac{x + y}{2},
which is clearly commutative (interchanging x and y does not affect the result), but it is not associative (since, for example, f(-4, f(0, +4)) = -1 but f(f(-4, 0), +4) = +1).
More such examples may be found in commutative non-associative magmas.
Distributive
Symmetry
right|thumb|200px|Graph showing the symmetry of the addition function Some forms of symmetry can be directly linked to commutativity.
When a commutative operation is written as a binary function z=f(x,y), then this function is called a symmetric function, and its graph in three-dimensional space is symmetric across the plane y=x.
For example, if the function  is defined as f(x,y)=x+y then f is a symmetric function.
For relations, a symmetric relation is analogous to a commutative operation, in that if a relation R is symmetric, then a R b \Leftrightarrow b R a.
Non-commuting operators in quantum mechanics
In quantum mechanics as formulated by Schrödinger, physical variables are represented by linear operators such as x (meaning multiply by x), and \frac{d}{dx}.
These two operators do not commute as may be seen by considering the effect of their compositions x \frac{d}{dx} and \frac{d}{dx} x (also called products of operators) on a one-dimensional wave function \psi(x):
x\cdot {\mathrm{d}\over \mathrm{d}x}\psi = x\cdot \psi' \ \neq \ \psi + x\cdot \psi' = {\mathrm{d}\over \mathrm{d}x}\left( x\cdot \psi \right)
According to the uncertainty principle of Heisenberg, if the two operators representing a pair of variables do not commute, then that pair of variables are mutually complementary, which means they cannot be simultaneously measured or known precisely.
For example, the position and the linear momentum in the x-direction of a particle are represented by the operators x and -i \hbar \frac{\partial}{\partial x}, respectively (where \hbar is the reduced Planck constant).
This is the same example except for the constant -i \hbar, so again the operators do not commute and the physical meaning is that the position and linear momentum in a given direction are complementary.
See also
Anticommutative property
Centralizer and normalizer (also called a commutant)
Commutative diagram
Commutative (neurophysiology)
Commutator
Parallelogram law
Particle statistics (for commutativity in physics)
Proof that Peano's axioms imply the commutativity of the addition of natural numbers
Quasi-commutative property
Trace monoid
Commuting probability
Notes
References
Books
Abstract algebra theory.
Covers commutativity in that context.
Uses property throughout book.
Linear algebra theory.
Explains commutativity in chapter 1, uses it throughout.
Abstract algebra theory.
Uses commutativity property throughout book.
Articles
Article describing the mathematical ability of ancient civilizations.
Translation and interpretation of the Rhind Mathematical Papyrus.
Online resources
Krowne, Aaron, , Accessed 8 August 2007.
Definition of commutativity and examples of commutative operations
, Accessed 8 August 2007.
Explanation of the term commute
, Accessed 8 August 2007
Examples proving some noncommutative operations
Article giving the history of the real numbers
Page covering the earliest uses of mathematical terms
Biography of Francois Servois, who first used the term
