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 h∈H such that for every φ∈H we have
(f,φ)=⟨φ,h⟩H
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 x∈Rn the function K(η,x) belongs to H(Rn) as a function of the η.
2) The reproducing property. For any x∈Rn and any φ∈H(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).
Then the coefficients gij of the Gram matrix of the set of elements {hi} are defined as follows:
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.