Magnitude (mathematics)
In mathematics, the magnitude or size of a mathematical object is a property which determines whether the object is larger or smaller than other objects of the same kind. More formally, an object's magnitude is the displayed result of an ordering of the class of objects to which it belongs. Magnitude as a concept dates to Ancient Greece and has been applied as a measure of distance from one object to another. For numbers, the absolute value of a number is commonly applied as the measure of units between a number and zero.
In vector spaces, the Euclidean norm is a measure of magnitude used to define a distance between two points in space. In physics, magnitude can be defined as quantity or distance. An order of magnitude is typically defined as a unit of distance between one number and another's numerical places on the decimal scale.
History
distinguished between several types of magnitude, including:- Positive fractions
- Line segments
- Plane figures
- Solids
- Angles
Numbers
The magnitude of any number is usually called its absolute value or modulus, denoted by.Real numbers
The absolute value of a real number r is defined by:Absolute value may also be thought of as the number's distance from zero on the real number line. For example, the absolute value of both 70 and −70 is 70.
Complex numbers
A complex number z may be viewed as the position of a point P in a 2-dimensional 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 is similar to that for the Euclidean norm of a vector in a 2-dimensional Euclidean space:where the real numbers a and b are the real part and the imaginary part of z, respectively. For instance, the modulus of is. Alternatively, the magnitude of a complex number z may be defined as the square root of the product of itself and its complex conjugate,, where for any complex number, its complex conjugate is.
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Vector spaces
Euclidean vector space
A 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 to that point. Mathematically, a vector x in an n-dimensional Euclidean space can be defined as an ordered list of n real numbers : x = . Its magnitude or length, denoted by, is most commonly defined as its Euclidean norm :For instance, in a 3-dimensional space, the magnitude of is 13 because
This is equivalent to the square root of the dot product of the vector with 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:
Normed vector spaces
By definition, all Euclidean vectors have a magnitude. However, a vector in an abstract vector space does not possess a magnitude.A vector space endowed with a norm, such as the Euclidean space, is called a normed vector space. The norm of a vector v in a normed vector space can be considered to be the magnitude of v.