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In [[mathematics]], especially in [[functional analysis]], a '''positive linear functional''' on an [[ordered vector space]] (''V'', ≤) is a [[linear functional]] ''f'' on ''V'' so that for all [[positive element (ordered group)|positive element]]s ''v'' of ''V'', that is ''v''≥0, it holds that
 
:<math>f(v)\geq 0.</math>
 
In other words, a positive linear functional is guaranteed to take nonnegative values for positive elements. The significance of positive linear functionals lies in results such as [[Riesz–Markov–Kakutani representation theorem]].
 
==Examples==
* Consider, as an example of V, the C*-algebra of [[complex number|complex]] [[square matrix|square matrices]] with the positive elements being the [[positive-definite matrix|positive-definite matrices]]. The [[trace of a matrix|trace]] function defined on this C*-algebra is a positive functional, as the [[eigenvalue]]s of any positive-definite matrix are positive, and so its trace is positive.
 
* Consider the [[Riesz space]] C<sub>c</sub>(''X'') of all [[continuous function (topology)|continuous]] complex-valued functions of [[compact space|compact]] [[support (mathematics)|support]] on a [[locally compact]] [[Hausdorff space]] ''X''. Consider a [[Borel regular measure]] μ on ''X'', and a functional ψ defined by
::<math> \psi(f) = \int_X f(x) d \mu(x) \quad </math>
:for all ''f'' in C<sub>c</sub>(''X''). Then, this functional is positive (the integral of any positive function is a positive number). Moreover, any positive functional on this space has this form, as follows from the [[Riesz–Markov–Kakutani representation theorem]].
 
==See also==
*[[positive element (ordered group)|positive element]]
 
{{Functional Analysis}}
 
{{DEFAULTSORT:Positive Linear Functional}}
[[Category:Functional analysis]]

Latest revision as of 19:36, 16 December 2014

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