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absolute value
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{{other uses}}{{Use dmy datesdate=June 2013}}Image:Absolute value.svgthumbthumbThe graph of the absolute value function for real numbers]]thumbThe absolute value of a number may be thought of as its distance from zero.In mathematics, the absolute value or modulus {{math{{!}}x{{!}}}} of a real number {{mvarx}} is the nonnegative value of {{mvarx}} without regard to its sign. Namely, {{math1={{!}}x{{!}} = x}} for a positive {{mvarx}}, {{math1={{!}}x{{!}} = âˆ’x}} for a negative {{mvarx}} (in which case {{mathâˆ’x}} is positive), and {{math1={{!}}0{{!}} = 0}}. For example, the absolute value of 3 is 3, and the absolute value of âˆ’3 is also 3. The absolute value of a number may be thought of as its distance from zero.Generalisations of the absolute value for real numbers occur in a wide variety of mathematical settings. For example, an absolute value is also defined for the complex numbers, the quaternions, ordered rings, fields and vector spaces. The absolute value is closely related to the notions of magnitude, distance, and norm in various mathematical and physical contexts. the content below is remote from Wikipedia
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Terminology and notation
In 1806, JeanRobert Argand introduced the term module, meaning unit of measure in French, specifically for the complex absolute value,Oxford English Dictionary, Draft Revision, June 2008Nahin, O'Connor and Robertson, and functions.Wolfram.com.; for the French sense, see LittrÃ©, 1877 and it was borrowed into English in 1866 as the Latin equivalent modulus. The term absolute value has been used in this sense from at least 1806 in FrenchLazare Nicolas M. Carnot, MÃ©moire sur la relation qui existe entre les distances respectives de cinq point quelconques pris dans l'espace, p. 105 at Google Books and 1857 in English.James Mill Peirce, A Textbook of Analytic Geometry at Google Books. The oldest citation in the 2nd edition of the Oxford English Dictionary is from 1907. The term absolute value is also used in contrast to relative value. The notation {{math{{!}}x{{!}}}}, with a vertical bar on each side, was introduced by Karl Weierstrass in 1841.Nicholas J. Higham, Handbook of writing for the mathematical sciences, SIAM. {{ISBN0898714206}}, p. 25 Other names for absolute value include numerical value and magnitude. In programming languages and computational software packages, the absolute value of x is generally represented by abs(x), or a similar expression.The vertical bar notation also appears in a number of other mathematical contexts: for example, when applied to a set, it denotes its cardinality; when applied to a matrix, it denotes its determinant. Vertical bars denote the absolute value only for algebraic objects for which the notion of an absolute value is defined, notably an element of a normed division algebra like a real number, complex number, quaternion. A closely related but distinct notation is the use of vertical bars for either the euclidean normBOOK, Calculus on Manifolds, Spivak, Michael, Westview, 1965, 0805390219, Boulder, CO, 1, or sup normBOOK, Analysis on Manifolds, Munkres, James, Westview, 1991, 0201510359, Boulder, CO, 4, of a vector in mathbb{R}^n, although double vertical bars with subscripts (cdot_2 and cdot_infty, respectively) are a more common and less ambiguous notation.Definition and properties
Real numbers
For any real number {{mvarx}}, the absolute value or modulus of {{mvarx}} is denoted by {{math{{!}}x{{!}}}} (a vertical bar on each side of the quantity) and is defined asMendelson, p. 2.
x = left{
begin{array}{rl}
x, & text{if } x geq 0
x, & text{if } x < 0.
end{array}right.
The absolute value of {{mvarx}} is thus always either positive or zero, but never negative, since {{math x < 0}} implies {{math âˆ’x > 0}}.From an analytic geometry point of view, the absolute value of a real number is that number's distance from zero along the real number line, and more generally the absolute value of the difference of two real numbers is the distance between them. Indeed, the notion of an abstract distance function in mathematics can be seen to be a generalisation of the absolute value of the difference (see "Distance" below).Since the square root symbol represents the unique positive square root (when applied to a positive number), it follows that
x, & text{if } x geq 0
x, & text{if } x < 0.
end{array}right.
x = sqrt{x^2}
is equivalent to the definition above, and may be used as an alternative definition of the absolute value of real numbers.BOOK, Stewart, James B., Calculus: concepts and contexts, 2001, Brooks/Cole, Australia, 0534377181, , p. A5The absolute value has the following four fundamental properties (a, b are real numbers), that are used for generalization of this notion to other domains:
{
Nonnegativity, positive definiteness, and multiplicativity are readily apparent from the definition. To see that subadditivity holds, first note that one the two alternatives of taking {{mvars}} as either {{math1}} or {{math+1}} guarantees that s cdot (a+b) = a+b geq 0. Now, since 1 cdot x le x and +1 cdot x le x, it follows that, whichever is the value of {{mvars}}, one has s cdot xleq x for all real x. Consequently, a+b=s cdot (a+b) = s cdot a + s cdot b leq a + b, as desired. (For a generalization of this argument to complex numbers, see "Proof of the triangle inequality for complex numbers" below.)Some additional useful properties are given below. These are either immediate consequences of the definition or implied by the four fundamental properties above.
ge 0  Nonnegativity 
a = 0 iff a = 0 Positivedefiniteness 
ab  a  b  Multiplicativeness>Multiplicativity 
a+b  a  b  Subadditivity, specifically the triangle inequality 
{
Two other useful properties concerning inequalities are:
big  a  =  Idempotence (the absolute value of the absolute value is the absolute value) 
=  even function>Evenness (reflection symmetry of the graph) 
a  b = 0 iff a = b Identity of indiscernibles (equivalent to positivedefiniteness) 
a  b  a  c  c  b  Triangle inequality#Example norms>Triangle inequality (equivalent to subadditivity) 
frac{a}{b}right  a  b} (if b ne 0)Preservation of division (equivalent to multiplicativity) 
ab  ,    ,big Reverse triangle inequality (equivalent to subadditivity) 
a le b iff b le a le b
a ge b iff a le b or age b
These relations may be used to solve inequalities involving absolute values. For example:
{
iff 6 le x le 12
The absolute value, as "distance from zero", is used to define the absolute difference between arbitrary real numbers, the standard metric on the real numbers.
x3 le 9 iff 9 le x3 le 9 
Complex numbers
{{Anchorcomplex modulus}}Image:Complex conjugate picture.svgrightthumbThe absolute value of a complex number z is the distance r of z from the origin. It is also seen in the picture that z and its complex conjugatecomplex conjugateSince the complex numbers are not ordered, the definition given at the top for the real absolute value cannot be directly applied to complex numbers. However the geometric interpretation of the absolute value of a real number as its distance from 0 can be generalised. The absolute value of a complex number is defined by the Euclidean distance of its corresponding point in the complex plane from the origin. This can be computed using the Pythagorean theorem: for any complex number
z = x + iy,
where {{mvarx}} and {{mvary}} are real numbers, the absolute value or modulus of {{mvarz}} is denoted {{math{{!}}z{{!}}}} and is defined byBOOK, GonzÃ¡lez, Mario O., Classical Complex Analysis, CRC Press, 1992, 9780824784157, 19,weblink
z = sqrt{[mathrm{Re}(z)]^2 + [mathrm{Im}(z)]^2}=sqrt{x^2 + y^2},
where Re(z) = x and Im(z) = y denote the real and imaginary parts of z, respectively. When the imaginary part {{mvary}} is zero, this coincides with the definition of the absolute value of the real number {{mvarx}}.When a complex number {{mvarz}} is expressed in its polar form as
z = r e^{i theta},
with r = sqrt{[mathrm{Re}(z)]^2 + [mathrm{Im}(z)]^2} ge 0 (and {{mathÎ¸ âˆˆ arg(z)}} is the argument (or phase) of z), its absolute value is
z = r.
Since the product of any complex number {{mvarz}} and its complex conjugate bar z = x  iy, with the same absolute value, is always the nonnegative real number (x^2+y^2), the absolute value of a complex number can be conveniently expressed as
z = sqrt{z cdot overline{z}},
resembling the alternative definition for reals: x = sqrt{xcdot x}.The complex absolute value shares the four fundamental properties given above for the real absolute value.In the context of abstract algebra, since the positive real numbers form a subgroup of the complex numbers under multiplication, the multiplicative property implies that we may think of absolute value as an endomorphism of the multiplicative group of the complex numbers.{{citationlast=Lorenzfirst=Falkotitle=Algebra. Vol. II. Fields with structure, algebras and advanced topicsyear=2008series=Universitextpage=39location=New Yorkpublisher=Springerdoi=10.1007/9780387724881isbn=9780387724874mr=2371763}}.Importantly, the property of subadditivity ("triangle inequality") extends to any finite collection of {{mvarn}} complex {{nowrapnumbers (z_k)_{k=1}^n as}}
 textstylesum_{k=1}^n z_kleqtextstylesum_{k=1}^n z_k.quadquad (*)
This inequality also applies to infinite families, provided that the infinite series sum_{k=1}^infty z_k is absolutely convergent. If Lebesgue integration is viewed as the continuous analog of summation, then this inequality is analogously obeyed by complexvalued, measurable functions f:mathbb{R}tomathbb{C} when integrated over a measurable subset E:
Biggint_E f dxBiggleqint_E f dx.
quadquad(**)(This includes Riemannintegrable functions over a bounded interval [a,b] as a special case.)Proof of the complex triangle inequality
The triangle inequality, as given by (*), can be demonstrated by applying three easily verified properties of the complex numbers: Namely, for every complex number zinmathbb{C},
(i): there exists c in mathbb{C} such that c=1 and z= ccdot z;
(ii): mathrm{Re}(z)leq z.
Also, for a family of complex numbers (w_k)_{k=1}^{ell}, sum_{k=1}^ell w_k =sum_{k=1}^ell mathrm{Re} (w_k) + isum_{k=1}^ellmathrm{Im} (w_k). In particular,
(iii): if sum_{k=1}^ell w_k in
mathbb{R}, then sum_{k=1}^ell w_k =sum_{k=1}^ell mathrm{Re} (w_k).Proof of (*): Choose cinmathbb{C} such that c=1 and sum_k z_k=c (sum_k z_k) (summed over 1leq kleq n). The following computation then affords the desired inequality:
textstylesum_k z_k; overset{(i)} {=}; c(sum_k z_k) = sum_k cz_k; overset{(iii)} {=};sum_kmathrm{Re}(cz_k); overset{(ii)} {le}; sum_k cz_k = sum_k cz_k = sum_kz_k.
It is clear from this proof that equality holds in (*) exactly if all the cz_k are nonnegative real numbers, which in turn occurs exactly if all nonzero z_k have the same argument, i.e., z_k=a_kzeta for a complex constant zeta and real constants a_k geq 0 for 1le k le n.Since f measurable implies that f is also measurable, the proof of the inequality (**) proceeds via the same technique, by replacing sum_k(cdot) with int_E (cdot), dx and z_k with f(x).BOOK,weblink Principles of Mathematical Analysis, Rudin, Walter, McGrawHill, 1976, 007054235X, New York, 325, Absolute value function
Image:Absolute value.svgthumb360pxThe graph of the absolute value function for real numbers]]Image:Absolute value composition.svg256pxthumbComposition of absolute value with a cubic functioncubic functionThe real absolute value function is continuous everywhere. It is differentiable everywhere except for {{mvarx}} = 0. It is monotonically decreasing on the interval {{openclosedâˆ’âˆž,0}} and monotonically increasing on the interval {{closedopen0,+âˆž}}. Since a real number and its opposite have the same absolute value, it is an even function, and is hence not invertible. The real absolute value function is a piecewise linear, convex function.Both the real and complex functions are idempotent.Relationship to the sign function
The absolute value function of a real number returns its value irrespective of its sign, whereas the sign (or signum) function returns a number's sign irrespective of its value. The following equations show the relationship between these two functions:
x = x sgn(x),
or
x sgn(x) = x,
and for {{mathx â‰ 0}},
sgn(x) = frac{x}{x} = frac{x}{x}.
Derivative
The real absolute value function has a derivative for every {{mathx â‰ 0}}, but is not differentiable at {{math1=x = 0}}. Its derivative for {{mathx â‰ 0}} is given by the step function:Weisstein, Eric W. Absolute Value. From MathWorld â€“ A Wolfram Web Resource.Bartel and Sherbert, p. 163
frac{dx}{dx} = frac{x}{x} = begin{cases} 1 & x0. end{cases}
The subdifferential of {{math{{!}}x{{!}}}} at {{math1=x = 0}} is the interval {{closedclosedâˆ’1,1}}.Peter Wriggers, Panagiotis Panatiotopoulos, eds., New Developments in Contact Problems, 1999, {{ISBN3211831541}}, p. 31â€“32The complex absolute value function is continuous everywhere but complex differentiable nowhere because it violates the Cauchyâ€“Riemann equations.The second derivative of {{math{{!}}x{{!}}}} with respect to {{mvarx}} is zero everywhere except zero, where it does not exist. As a generalised function, the second derivative may be taken as two times the Dirac delta function.Antiderivative
The antiderivative (indefinite integral) of the real absolute value function is
intxdx=frac{xx}{2}+C,
where {{mvarC}} is an arbitrary constant of integration. This is not a complex antiderivative because complex antiderivatives can only exist for complexdifferentiable (holomorphic) functions, which the complex absolute value function is not.Distance
{{see alsoMetric space}}The absolute value is closely related to the idea of distance. As noted above, the absolute value of a real or complex number is the distance from that number to the origin, along the real number line, for real numbers, or in the complex plane, for complex numbers, and more generally, the absolute value of the difference of two real or complex numbers is the distance between them.The standard Euclidean distance between two points
a = (a_1, a_2, dots , a_n)
and
b = (b_1, b_2, dots , b_n)
in Euclidean {{mvarn}}space is defined as:
sqrt{textstylesum_{i=1}^n(a_ib_i)^2}.
This can be seen as a generalisation, since for a_1 and b_1 real, i.e. in a 1space, according to the alternative definition of the absolute value,
a_1  b_1 = sqrt{(a_1  b_1)^2} = sqrt{textstylesum_{i=1}^1(a_ib_i)^2},
and for a = a_1 + i a_2 and b = b_1 + i b_2 complex numbers, i.e. in a 2space,
{

 = sqrt{(a_1  b_1)^2 + (a_2  b_2)^2} = sqrt{textstylesum_{i=1}^2(a_ib_i)^2}.
The above shows that the "absolute value"distance, for real and complex numbers, agrees with the standard Euclidean distance, which they inherit as a result of considering them as one and twodimensional Euclidean spaces, respectively.The properties of the absolute value of the difference of two real or complex numbers: nonnegativity, identity of indiscernibles, symmetry and the triangle inequality given above, can be seen to motivate the more general notion of a distance function as follows:A real valued function {{mvard}} on a set {{mathXâ€‰Ã—â€‰X}} is called a metric (or a distance function) on {{mvarX}}, if it satisfies the following four axioms:These axioms are not minimal; for instance, nonnegativity can be derived from the other three: {{math1=0 = d(a,â€‰a) â‰¤ d(a,â€‰b) + d(b,â€‰a) = 2d(a,â€‰b)}}.
a  b  (a_1 + i a_2)  (b_1 + i b_2) 
(a_1  b_1) + i(a_2  b_2) 
{
d(a, b) = 0 iff a = b Identity of indiscernibles
d(a, b) = d(b, a) Symmetry
d(a, b) le d(a, c) + d(c, b) Triangle inequality
d(a, b) ge 0 Nonnegativity 
Generalizations
Ordered rings
The definition of absolute value given for real numbers above can be extended to any ordered ring. That is, if {{mvara}} is an element of an ordered ring R, then the absolute value of {{mvara}}, denoted by {{math{{!}}a{{!}}}}, is defined to be:Mac Lane, p. 264.
a = left{
begin{array}{rl}
a, & text{if } a geq 0
a, & text{if } a < 0.
end{array}right.
where {{mathâˆ’a}} is the additive inverse of {{mvara}}, 0 is the additive identity element, and < and â‰¥ have the usual meaning with respect to the ordering in the ring.a, & text{if } a geq 0
a, & text{if } a < 0.
end{array}right.
Fields
The four fundamental properties of the absolute value for real numbers can be used to generalise the notion of absolute value to an arbitrary field, as follows.A realvalued function {{mvarv}} on a field {{mvarF}} is called an absolute value (also a modulus, magnitude, value, or valuation)Shechter, p. 260. This meaning of valuation is rare. Usually, a valuation is the logarithm of the inverse of an absolute value if it satisfies the following four axioms:
{ cellpadding=10v(a) ge 0 Nonnegativity
v(a) = 0 iff a = mathbf{0} Positivedefiniteness
v(ab) = v(a) v(b) Multiplicativity
v(a+b) le v(a) + v(b) Subadditivity or the triangle inequality
Where 0 denotes the additive identity element of {{mvarF}}. It follows from positivedefiniteness and multiplicativity that {{math1=v(1) = 1}}, where 1 denotes the multiplicative identity element of {{mvarF}}. The real and complex absolute values defined above are examples of absolute values for an arbitrary field.If {{mvarv}} is an absolute value on {{mvarF}}, then the function {{mvard}} on {{mathFâ€‰Ã—â€‰F}}, defined by {{math1=d(a,â€‰b) = v(a âˆ’ b)}}, is a metric and the following are equivalent:
 {{mvard}} satisfies the ultrametric inequality d(x, y) leq max(d(x,z),d(y,z)) for all {{mvarx}}, {{mvary}}, {{mvarz}} in {{mvarF}}.
 big{ vBig({textstyle sum_{k=1}^n } mathbf{1}Big) : n in mathbb{N} big} is bounded in R.
 vBig({textstyle sum_{k=1}^n } mathbf{1}Big) le 1 for every n in mathbb{N}.
 v(a) le 1 Rightarrow v(1+a) le 1 for all a in F.
 v(a + b) le mathrm{max}{v(a), v(b)} for all a, b in F.
Vector spaces
Again the fundamental properties of the absolute value for real numbers can be used, with a slight modification, to generalise the notion to an arbitrary vector space.A realvalued function on a vector space {{mvarV}} over a field {{mvarF}}, represented as {{mathâ€–Â·â€–}}, is called an absolute value, but more usually a norm, if it satisfies the following axioms:For all {{mvara}} in {{mvarF}}, and {{mathv}}, {{mathu}} in {{mvarV}},
{ cellpadding=10
The norm of a vector is also called its length or magnitude.In the case of Euclidean space {{mathRn}}, the function defined by
mathbf{v} ge 0 Nonnegativity 
mathbf{v} = 0 iff mathbf{v} = 0Positivedefiniteness 
a mathbf{v}  a  mathbf{v} Positive homogeneity or positive scalability 
mathbf{v} + mathbf{u}  mathbf{v}  mathbf{u} Subadditivity or the triangle inequality 
(x_1, x_2, dots , x_n)  = sqrt{textstylesum_{i=1}^{n} x_i^2}
is a norm called the Euclidean norm. When the real numbers {{mathR}} are considered as the onedimensional vector space {{mathR1}}, the absolute value is a norm, and is the {{mvarp}}norm (see Lp space) for any {{mvarp}}. In fact the absolute value is the "only" norm on {{mathR1}}, in the sense that, for every norm {{mathâ€–Â·â€–}} on {{mathR1}}, {{math1=â€–xâ€– = â€–1â€–â€‰â‹…â€‰{{!}}x{{!}}}}. The complex absolute value is a special case of the norm in an inner product space. It is identical to the Euclidean norm, if the complex plane is identified with the Euclidean plane {{mathR2}}.Composition algebras
Every composition algebra A has an involution x â†’ x* called its conjugation. The product in A of an element x and its conjugate x* is written N(x) = x x* and called the norm of x.The real numbers â„, complex numbers â„‚, and quaternions â„ are all composition algebras with norms given by definite quadratic forms. The absolute value in these division algebras is given by the square root of the composition algebra norm.In general the norm of a composition algebra may be a quadratic form that is not definite and has null vectors. However, as in the case of division algebras, when an element x has a nonzero norm, then x has a multiplicative inverse given by x*/N(x).Notes
{{Reflist30em}}References
 Bartle; Sherbert; Introduction to real analysis (4th ed.), John Wiley & Sons, 2011 {{ISBN9780471433316}}.
 Nahin, Paul J.; An Imaginary Tale; Princeton University Press; (hardcover, 1998). {{ISBN0691027951}}.
 Mac Lane, Saunders, Garrett Birkhoff, Algebra, American Mathematical Soc., 1999. {{ISBN9780821816462}}.
 Mendelson, Elliott, Schaum's Outline of Beginning Calculus, McGrawHill Professional, 2008. {{ISBN9780071487542}}.
 O'Connor, J.J. and Robertson, E.F.; "Jean Robert Argand".
 Schechter, Eric; Handbook of Analysis and Its Foundations, pp. 259â€“263, "Absolute Values", Academic Press (1997) {{ISBN0126227608}}.
External links
 {{springertitle=Absolute valueid=p/a010370}}
 {{PlanetMath  urlname=AbsoluteValue  title=absolute value  id=448}}
 {{MathWorld  urlname=AbsoluteValue  title=Absolute Value}}
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