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# Difference between revisions of "Multiplication"

(reordered, see my comments on the talk page) |
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'''Multiplication''' is the [[binary operation|binary]] [[operation (mathematics)|mathematical operation]] of scaling one number or quantity by another (multiplying). It is one of the four basic operations in elementary arithmetic (with [[addition]], [[subtraction]] and [[division (arithmetic)|division]]). The result of this operation is called '''product''' and the multiplied numbers are called '''factors''', or the '''multiplier''' and the '''multiplicand'''. | '''Multiplication''' is the [[binary operation|binary]] [[operation (mathematics)|mathematical operation]] of scaling one number or quantity by another (multiplying). It is one of the four basic operations in elementary arithmetic (with [[addition]], [[subtraction]] and [[division (arithmetic)|division]]). The result of this operation is called '''product''' and the multiplied numbers are called '''factors''', or the '''multiplier''' and the '''multiplicand'''. | ||

− | The product ''mn'' of a positive [[whole number]] ''m'' times another quantity ''n'' agrees with the result of successively [[addition|adding]] ''n'' to itself a total of ''m'' times. For example, 2 multiplied by 3 (often said as "3 '''times''' 2") gives the same result as 2 taken 3 times, i.e., of addding 3 copies of 2 : 2 × 3 = 2 + 2 + 2. Similarly, <math>\pi</math> multiplied by ''2'' is the same value obtained by adding the number [[pi]] to itself. | + | The product ''mn'' of a positive [[whole number]] ''m'' times another quantity ''n'' agrees with the result of successively [[addition|adding]] ''n'' to itself a total of ''m'' times. For example, 2 multiplied by 3 (often said as "3 '''times''' 2") gives the same result as 2 taken 3 times, i.e., of addding 3 copies of 2 : 2 × 3 = 2 + 2 + 2. Similarly, <math>\pi</math> multiplied by ''2'' is the same value obtained by adding the number [[pi]] to itself. |

− | + | Multiplication can be visualised as counting objects arranged in a [[rectangle]] (for natural numbers) or as finding the [[area]] of a rectangle whose sides have given [[length]]s (for numbers generally). | |

− | + | However, multiplication does not give the result of a repeated addition when the multiplier is not a [[whole number]]. We can calculate the product | |

− | + | : <math> (-\sqrt{2}) \times \sqrt{2} = -2</math> | |

+ | using the rules for manipulating [[radical]]s and products, but we cannot view this computation as repeatedly adding <math>\sqrt{2}</math>. Instead of being viewed as a special type of repeated addition, multiplication should be viewed as a basic numerical operation, separate from and as important as addition. | ||

+ | The inverse of multiplication is [[division]]: as 2 times 3 equals to 6, so 6 divided by 3 equals to 2. | ||

==Properties== | ==Properties== |

## Revision as of 07:38, 17 December 2008

**Multiplication** is the binary mathematical operation of scaling one number or quantity by another (multiplying). It is one of the four basic operations in elementary arithmetic (with addition, subtraction and division). The result of this operation is called **product** and the multiplied numbers are called **factors**, or the **multiplier** and the **multiplicand**.

The product *mn* of a positive whole number *m* times another quantity *n* agrees with the result of successively adding *n* to itself a total of *m* times. For example, 2 multiplied by 3 (often said as "3 **times** 2") gives the same result as 2 taken 3 times, i.e., of addding 3 copies of 2 : 2 × 3 = 2 + 2 + 2. Similarly, multiplied by *2* is the same value obtained by adding the number pi to itself.

Multiplication can be visualised as counting objects arranged in a rectangle (for natural numbers) or as finding the area of a rectangle whose sides have given lengths (for numbers generally).

However, multiplication does not give the result of a repeated addition when the multiplier is not a whole number. We can calculate the product

using the rules for manipulating radicals and products, but we cannot view this computation as repeatedly adding . Instead of being viewed as a special type of repeated addition, multiplication should be viewed as a basic numerical operation, separate from and as important as addition.

The inverse of multiplication is division: as 2 times 3 equals to 6, so 6 divided by 3 equals to 2.

## Contents

## Properties

Multiplication of numbers is commutative, meaning *a* × *b* = *b* × *a*.

Multiplication is associative, meaning *a* × (*b* × *c*) = (*a* × *b*) × *c*.

Multiplication is distributive over addition, meaning *a* × (*x* + *y*) = *a* × *x* + *a* × *y*.

## Products of sequences

### Capital pi notation

The product of a sequence can be written using capital Greek letter Π (Pi). Unicode position U+220F (∏) contains a symbol for the product of a sequence, distinct from U+03A0 (Π), the letter. The meaning of this notation is given by:

where *i* is an index of multiplication, *m* is its lower bound and *n* is its upper bound. Example:

If *m* = *n*, the value of the product just equals to *x*_{m}. If *m* > *n*, the product is the empty product, with the value 1.

## More general concepts of multiplication

Multiplication can be defined outside of the context of real numbers. There are natural multiplication operations on the complex numbers, matrices, tensors, sequences, and functions.

The properties described need not always hold in these more general settings. For example, Multiplication is not always commutative in other contexts. For example, matrix multiplication is in general not a commutative operation:

but reversing the order of multiplication, we have

a different result.

A common thread in these examples of operations called "multiplication" is the existence of an additional "addition" operation and a collection of common axioms satisfied by the addition and multiplication operations in each context. This general context in which a multiplication operation exists, encompassing all of the above examples, is that of the abstract ring encountered in abstract algebra.