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Example showing the commutativity of addition (3 + 2 = 2 + 3)
For other uses, see Commute (disambiguation).
Commutativity is a widely used mathematical term that refers to the ability to change the order of something without changing the end result. It is a fundamental property in most branches of mathematics and many proofs depend on it. The commutativity of simple operations was for many years implicitly assumed and the property was not given a name or attributed until the 19th century when mathematicians began to formalize the theory of mathematics.
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The commutative property (or commutative law) is a property associated with binary operations and functions. Similarly, if the commutative property holds for a pair of elements under a certain binary operation then it is said that the two elements commute under that operation.
In group and set theory, many algebraic structures are called commutative when certain operands satisfy the commutative property. In higher branches of math, 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.Axler, p.2Gallian, p.34p. 26,87
The term "commutative" is used in several related senses.Krowne, p.1Weisstein, Commute, p.1
1. A binary operation ∗ on a set S is said to be commutative if:
2. One says that x commutes with y under ∗ if:
3. A binary function f:A×A → B is said to be commutative if:
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.Lumpkin, p.11Gay and Shute, p.? Euclid is known to have assumed the commutative property of multiplication in his book Elements.O\'Conner and Robertson, Real Numbers Formal uses of the commutative property arose in the late 18th and early 19th century 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. Simple versions of the commutative property are usually taught in beginning mathematics courses.
The first use of the actual term commutative was in a memoir by Francois Servois in 1814,Cabillón and Miller, Commutative and DistributiveO\'Conner and 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 Philosophical Transactions of the Royal Society in 1844.Cabillón and Miller, Commutative and Distributive
Graph showing the symmetry of the addition function
The associative property is closely related to the commutative property. The associative property states that the order in which operations are performed does not affect the final result. In contrast, the commutative property states that the order of the terms does not affect the final result.
Symmetry can be directly linked to commutativity. When a commutative operator is written as a binary function then the resulting function is symmetric across the line y = x. As an example, if we let a function f represent addition (a commutative operation) so that f(x,y) = x + y then f is a symmetric function which can be seen in the image on the right.
Example showing the commutativity of multiplication (3 * 5 = 5 * 3)
Two well-known examples of commutative binary operations are:Krowne, p.1
Concatenation, the act of joining character strings together, is a noncommutative operation.
Some noncommutative binary operations are:Yark, p.1
\begin{bmatrix} 0 & 2 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 1 & 1 \\ 0 & 1 \end{bmatrix} \cdot \begin{bmatrix} 0 & 1 \\ 0 & 1 \end{bmatrix} \neq \begin{bmatrix} 0 & 1 \\ 0 & 1 \end{bmatrix} \cdot \begin{bmatrix} 1 & 1 \\ 0 & 1 \end{bmatrix} = \begin{bmatrix} 0 & 1 \\ 0 & 1 \end{bmatrix}
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