multiplication

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multiplication,

fundamental operation in arithmetic and algebra. Multiplication by a whole number can be interpreted as successive addition. For example, a number N multiplied by 3 is N + N + N. In general, multiplying positive numbers N and M gives the area of the rectangle with sides N and M. The result of a multiplication is known as the product. Numbers that give a product when multiplied together are called factors of that product. The symbol of the operation is × or · and, in algebra, simple juxtaposition (e.g., xy means x×y or x·y). Like addition, multiplication, in arithmetic and elementary algebra, obeys the associative lawassociative law,
in mathematics, law holding that for a given operation combining three quantities, two at a time, the initial pairing is arbitrary; e.g., using the operation of addition, the numbers 2, 3, and 4 may be combined (2+3)+4=5+4=9 or 2+(3+4)=2+7=9.
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, the commutative lawcommutative law,
in mathematics, law holding that for a given binary operation (combining two quantities) the order of the quantities is arbitrary; e.g., in addition, the numbers 2 and 5 can be combined as 2+5=7 or as 5+2=7.
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, and, in combination with addition, the distributive lawdistributive law.
In mathematics, given any two operations, symbolized by * and +, the first operation, *, is distributive over the second, +, if a*(b+c)=(a*b)+(a*c) for all possible choices of a, b, and c.
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. Multiplication in abstract algebra, as between vectors or other mathematical objects, does not always obey these rules. Quantities with unlike units may sometimes be multiplied, resulting in such units as foot-pounds, gram-centimeters, and kilowatt-hours. See also divisiondivision,
fundamental operation in arithmetic; the inverse of multiplication. Division may be indicated by the symbol ÷, as in 15 ÷ 3, or simply by a fraction, 15/3. The number that is being divided, e.g.
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.

Multiplication

 

a binary operation that associates to objects a, b an object c; a and b are called factors, and c is called their product. Multiplication is indicated by the symbol × or by the symbol. The first symbol was introduced by the English mathematician W. Oughtred in 1631, and the second by the German savant G. von Leibniz in 1698. When multiplying letters rather than numbers, we omit these symbols and write ab instead of a × b or a · b. The concrete sense of a multiplication depends on the nature of the factors and the definition of the multiplication. Multiplication of positive integers is the operation that associates to positive integers a and b the positive integer c = ab = a + a + . . . + a, where a is taken b times. Multiplication of fractions m/n and p/q is defined by the equation

The product of fractions is a fraction whose absolute value is the product of the absolute values of the factors. The product of fractions is positive if both factors have the same sign and is negative otherwise. Multiplication of irrational numbers is defined in terms of multiplication of rational approximations of these numbers. Multiplication of complex numbers α and β given as α = a + bi and β = c + di is defined by means of the equation

αβ = (acbd) + (ad + bc)i

If α and β are given in polar form,

α = r1(cos φ1) + i sin φ1)

β = r2(cos φ2 + i sin φ2)

then αβ is defined as

αβ = r1,r2 {cos (φ1 + φ2) + i sin (φ1 + φ2)}

that is, the modulus of the product is the product of the moduli of the factors and the argument of the product is the sum of the arguments of the factors.

Multiplication of numbers has the following properties: (1) ab = ba (commutativity), (2) a(bc) = (ab)c (associativity), and (3) a(b + c) = ab + ac (distributivity of multiplication over addition). We have a · 0 = 0 and a · 1 = a. The techniques for multiplying multivalued expressions rely on these properties.

Further generalization of multiplication relies on the possibility of viewing numbers as operators on vectors in the plane. Thus, to the complex number r(cos φ + i sin φ) we associate the operator of dilation of all vectors by a factor r and their rotation through an angle φ about the origin. Here, to the product of complex numbers there corresponds the product of the operators associated with these numbers, that is, the operator that is the result of successive application of the operators associated with the numbers in question. Such multiplication of operators can be extended to operators that cannot be represented by numbers, for example, to linear operators. In this way, we are led to define multiplication of matrices, of quarternions viewed as dilations and rotations in 3-space, and of kernels of integral operators. In these generalizations some of the properties of multiplication of numbers may not hold. The property that fails to hold most frequently is commutativity.

The study of the general properties of multiplication is part of algebra, in particular, group theory and ring theory.

multiplication

[‚məl·tə·pli′kā·shən]
(electronics)
An increase in current flow through a semiconductor because of increased carrier activity.
(mathematics)
Any algebraic operation analogous to multiplication of real numbers.
(nucleonics)
The ratio of neutron flux in a subcritical reactor to that supplied by a neutron source; it is the factor by which, in effect, the reactor multiplies the source strength.

multiplication

1. an arithmetical operation, defined initially in terms of repeated addition, usually written a × b, a.b, or ab, by which the product of two quantities is calculated: to multiply a by positive integral b is to add a to itself b times. Multiplication by fractions can then be defined in the light of the associative and commutative properties; multiplication by 1/n is equivalent to multiplication by 1 followed by division by n: for example 0.3 × 0.7 = 0.3 × 7/10 = (0.3 × 7)/10 = 2.1/10 = 0.21
2. the act or process in animals, plants, or people of reproducing or breeding
References in periodicals archive ?
The objective of this paper is to present a novel architecture for implementation of vedic multiplication algorithm suitable for FPGA implementation.
Early understanding of multiplication and division with whole numbers requires students to think about three quantities: the whole (or total) quantity, the number of equal groups, and the amount in each group.
The number of multiplications required to perform the rekeying operation is high in top down approach than bottom up approach.
We show that an efficient multiplication architecture can be obtained by choosing a proper Montgomery factor, and reduces time complexity.
Participants reported using mainly additions (Median (Mdn) (3) = 40% of their operations), followed by subtractions (Mdn = 25%) and multiplications (Mdn = 20%), while divisions were reported to be used less often (Mdn = 10%).
In this study we explore students' explanations of multiplication with zero before they are introduced to multiplication in school.
A multiplication of a 2n-digit integer is reduced to two n-digits multiplications, one (n+1)-digits multiplication, two n-digits subtractions, two left-shift operations, two n-digits additions and two 2n-digits additions.
Multidigit addition, subtraction, multiplication, and division solution methods are called algorithms.
This can be performed using repeated calls to the floating-point multiplication and addition routines, but the multiply/accumulate routine functions more efficiently because it removes overhead.
The Student Model is initiated with an exhaustive, computer-based, single-digit multiplication assessment, which produces a uniquely ordinal "scale" of difficulty for simple multiplications.
As this proved an efficient method for performing multiplications to design higher level multipliers from the lower level multipliers whereas in other methods of multiplication a different logic is used for designing the higher bit multipliers.
Modular multiplication forms the core of modular exponentiation, which lies at the heart of cryptographical operations.

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