 Magnitude (mathematics)

The magnitude of an object in Mathematics is its size: a property by which it can be compared as larger or smaller than other objects of the same kind; in technical terms, an ordering (or ranking) of the class of objects to which it belongs. It also can be termed as a numerical value of that unit (or class) which it belongs.
The Greeks distinguished between several types of magnitude, including:
 (positive) fractions
 line segments (ordered by length)
 Plane figures (ordered by area)
 Solids (ordered by volume)
 Angles (ordered by angular magnitude)
They had proven that the first two could not be the same, or even isomorphic systems of magnitude. They did not consider negative magnitudes to be meaningful, and magnitude is still chiefly used in contexts in which zero is either the lowest size or less than all possible sizes.
Contents
Numbers
Main article: Absolute valueThe magnitude of any number x is usually called its "absolute value" or "modulus", denoted by x.
Real numbers
The absolute value of a real number r is defined by:
 r = r, if r ≥ 0
 r = r, if r < 0.
It may be thought of as the number's distance from zero on the real number line. For example, the absolute value of both 7 and −7 is 7.
Complex numbers
A complex number z may be viewed as the position of a point P in a 2dimensional space, called the complex plane. The absolute value of z may be thought of as the distance of P from the origin of that space. The formula for the absolute value of z is similar to that for the Euclidean norm of a vector in a 2dimensional Euclidean space:
where ℜ(z) and ℑ(z) are the respectively real part and imaginary part of z. For instance, the modulus of −3 + 4i is 5.
Euclidean vectors
Main article: Euclidean normA Euclidean vector represents the position of a point P in a Euclidean space. Geometrically, it can be described as an arrow from the origin of the space (vector tail) to that point (vector tip). Mathematically, a vector x in an ndimensional Euclidean space can be defined as an ordered list of n real numbers (the Cartesian coordinates of P): x = [x_{1}, x_{2}, ..., x_{n}]. Its magnitude or length is most commonly defined as its Euclidean norm (or Euclidean length):
For instance, in a 3dimensional space, the magnitude of [4, 5, 6] is √(4^{2} + 5^{2} + 6^{2}) = √77 or about 8.775. This is equivalent to the square root of the dot product of the vector by itself:
The Euclidean norm of a vector is just a special case of Euclidean distance: the distance between its tail and its tip. Two similar notations are used for the Euclidean norm of a vector x:
The second notation is generally discouraged, because it is also used to denote the absolute value of scalars and the determinants of matrices.
Normed vector spaces
Main article: Normed vector spaceBy definition, all Euclidean vectors have a magnitude (see above). However, the notion of magnitude cannot be applied to all kinds of vectors.
A function that maps objects to their magnitudes is called a norm. A vector space endowed with a norm, such as the Euclidean space, is called a normed vector space. In high mathematics, not all vector spaces are normed.
Practical math
A magnitude is never negative. When comparing magnitudes, it is often helpful to use a logarithmic scale. Realworld examples include the loudness of a sound (decibel), the brightness of a star, or the Richter scale of earthquake intensity.
To put it another way, often it is not meaningful to simply add and subtract magnitudes.
"Order of magnitude"
Main article: Order of magnitudeIn advanced mathematics, as well as colloquially in popular culture, especially geek culture, the phrase "order of magnitude" is used to denote a change in a numeric quantity, usually a measurement, by a factor of 10; that is, the moving of the decimal point in a number one way or the other, possibly with the addition of significant zeros.
Occasionally the phrase "half an order of magnitude" is also used, generally in more informal contexts. Sometimes, this is used to denote a 5 to 1 change, or alternatively 10^{1/2} to 1 (approximately 3.162 to 1).
See also
References
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