Processing math: 100%

Monday, May 25, 2015

The Riesz representation of functionals and a reproducing kernel Hilbert space


The basic idea of the normal spline method was described in the previous post. Now we discuss a way of constructing the Riesz representers of the continuous linear functionals fi assuming the Hilbert space H is a reproducing kernel Hilbert space. Let's recall the Riesz representation theorem and the reproducing kernel Hilbert space definition.

Riesz representation theorem ([1]): If f is a linear continuous functional on a Hilbert space H then there exists some hH such that for every φH we have
(f,φ)=φ,hH
Reproducing Kernel Hilbert space ([2]): A Hilbert space H(Rn) is called a reproducing kernel Hilbert space (RKHS) if there is a reproducing kernel function K(η,x) of η and x in Rn such that:
1) For any xRn the function K(η,x) belongs to H(Rn) as a function of the η.
2) The reproducing property. For any xRn and any φH(Rn), the following equality is valid:
φ(x)=φ(η),K(η,x)H

Inner product here applies to functions of η. It is known, if a reproducing kernel exists it is unique and it is symmetric with respect to the η and x ([2]): K(η,x)=K(x,η).

Let K(η,x) is a reproducing kernel of the Hilbert space H(Rn), then we can find the Riesz representers (images) hi of the functionals fi. Namely:
hi(x)=(fi,K(,x)).
Indeed, by reproducing property:
hi(x)=hi,K(,x)H
but since the hi is a Riesz representer of the fi (see (5) in the previous post):
hi,K(,x)H=(fi,K(,x))
(here K(η,x)H as a function of the η).
gij=hi,hjH=(fi,hj)=(fi,(fj,K)) .
In the next post a reproducing kernel of the Bessel Potential space will be presented.

References

[1] A. Balakrishnan. Applied Functional Analysis. // New York: Springer-Verlag, 1976.
[2] N. Aronszajn, Theory of reproducing kernels, Tranzactions of the AMS.– 950 – Vol.68.