Positive linear functional

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In mathematics, more specifically 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 elements v∈V, that is v≥0, it holds that f(v)≥0.

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.

When V is a complex vector space, it is assumed that for all v≥0, f(v) is real. As in the case when V is a C*-algebra with its partially ordered subspace of self-adjoint elements, sometimes a partial order is placed on only a subspace W⊆V, and the partial order does not extend to all of V, in which case the positive elements of V are the positive elements of W, by abuse of notation. This implies that for a C*-algebra, a positive linear functional sends any x∈V equal to s∗s for some s∈V to a real number, which is equal to its complex conjugate, and therefore all positive linear functionals preserve the self-adjointness of such x. This property is exploited in the GNS construction to relate positive linear functionals on a C*-algebra to inner products.

Sufficient conditions for continuity of all positive linear functionals

There is a comparatively large class of ordered topological vector spaces on which every positive linear form is necessarily continuous.[1] This includes all topological vector lattices that are sequentially complete.[1]

Theorem Let X be an Ordered topological vector space with positive cone C⊆X and let ℬ⊆𝒫(X) denote the family of all bounded subsets of X. Then each of the following conditions is sufficient to guarantee that every positive linear functional on X is continuous:

  1. C has non-empty topological interior (in X).[1]
  2. X is complete and metrizable and X=C−C.[1]
  3. X is bornological and C is a semi-complete strict ℬ-cone in X.[1]
  4. X is the inductive limit of a family (Xα)α∈A of ordered Fréchet spaces with respect to a family of positive linear maps where Xα=Cα−Cα for all α∈A, where Cα is the positive cone of Xα.[1]

Continuous positive extensions

The following theorem is due to H. Bauer and independently, to Namioka.[1]

Theorem:[1] Let X be an ordered topological vector space (TVS) with positive cone C, let M be a vector subspace of E, and let f be a linear form on M. Then f has an extension to a continuous positive linear form on X if and only if there exists some convex neighborhood U of 0 in X such that Re⁡f is bounded above on M∩(U−C).
Corollary:[1] Let X be an ordered topological vector space with positive cone C, let M be a vector subspace of E. If C∩M contains an interior point of C then every continuous positive linear form on M has an extension to a continuous positive linear form on X.
Corollary:[1] Let X be an ordered vector space with positive cone C, let M be a vector subspace of E, and let f be a linear form on M. Then f has an extension to a positive linear form on X if and only if there exists some convex absorbing subset W in X containing the origin of X such that Re⁡f is bounded above on M∩(W−C).

Proof: It suffices to endow X with the finest locally convex topology making W into a neighborhood of 0∈X.

Examples

Consider, as an example of V, the C*-algebra of complex square matrices with the positive elements being the positive-definite matrices. The trace function defined on this C*-algebra is a positive functional, as the eigenvalues of any positive-definite matrix are positive, and so its trace is positive.

Consider the Riesz space Cc(X) of all continuous complex-valued functions of compact support on a locally compact Hausdorff space X. Consider a Borel regular measure μ on X, and a functional ψ defined by ψ(f)=∫Xf(x)dμ(x) for all f∈Cc(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.

Positive linear functionals (C*-algebras)

Let M be a C*-algebra (more generally, an operator system in a C*-algebra A) with identity 1. Let M+ denote the set of positive elements in M.

A linear functional ρ on M is said to be positive if ρ(a)≥0, for all a∈M+.

Theorem. A linear functional ρ on M is positive if and only if ρ is bounded and ‖ρ‖=ρ(1).[2]

Cauchy–Schwarz inequality

If ρ is a positive linear functional on a C*-algebra A, then one may define a semidefinite sesquilinear form on A by ⟨a,b⟩=ρ(b∗a). Thus from the Cauchy–Schwarz inequality we have |ρ(b∗a)|2≤ρ(a∗a)⋅ρ(b∗b).

Applications to economics

Given a space C, a price system can be viewed as a continuous, positive, linear functional on C.

See also

References

  1. ↑ 1.00 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 Schaefer & Wolff 1999, pp. 225–229.
  2. ↑ Murphy, Gerard. "3.3.4". C*-Algebras and Operator Theory (1st ed.). Academic Press, Inc.. pp. 89. ISBN 978-0125113601. 

Bibliography

  • Kadison, Richard, Fundamentals of the Theory of Operator Algebras, Vol. I : Elementary Theory, American Mathematical Society. ISBN 978-0821808191.
  • Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834. 
  • Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135. 
  • Trèves, François (August 6, 2006). Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322. 

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