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Abstract algebra AlgebraIn mathematics, associativity is a property that a binary operation can have. It means that the order of evaluation is immaterial if the operation appears more than once in an expression. Put another way, no parentheses are required for an associative operation. Consider for instance the equation
- (5+2)+1 = 5+(2+1)
Adding 5 and 2 gives 7, and adding 1 gives an end result of 8 for the left hand side. To evaluate the right hand side, we start with adding 2 and 1 giving 3, and then add 5 and 3 to get 8, again. So the equation holds true. In fact, it holds true for all real numbers, not just for 5, 2 and 1. We say that "addition of real numbers is an associative operation".
Associative operations are abundant in mathematics, and in fact most algebraic structures explicitly require their binary operations to be associative.
1 Definition
Formally, a binary operation on a set S is called associative if it satisfies the associative law:
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The evaluation order doesn't affect the value of such expressions, and it can be shown that the same holds for expressions containing any number of operations. The evaluation order can therefore be left unspecified without causing ambiguity, by omitting the parentheses and writing simply:
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2 Examples
Some examples of associative operations include the following.
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- Addition and multiplication of complex numbers and quaternions is associative. Addition of octonions is also associative, but multiplication of octonions is non-associative.
- The greatest common divisor and least common multipleIn arithmetic and number theory the least common multiple or lowest common multiple lcm or smallest common multiple of two integers a and b is the smallest positive integer that is a multiple of both a and b''. If there is no such positive integer, e. functions act associatively.
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- Matrix multiplicationThis article gives an overview of the various ways to multiply matrices. The Einstein notation is used throughout. Ordinary matrix product By far the most important way to multiply matrices is the usual matrix multiplication. It is defined between two mat is associative. Because linear transformationIn mathematics, a linear transformation (also called linear operator or linear map is a function between two vector spaces that respects the arithmetical operations addition and scalar multiplication defined on vector spaces, or, in other words, it "preses can be represented by matrices, one can immediately conclude that linear transformations compose associatively.
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- If M is some set and S denotes the set of all functions from M to M, then the operation of functional composition on S is associative:
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