Schur class

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In complex analysis, the Schur class is the set of holomorphic functions f(z) defined on the open unit disk 𝔻={z∈ℂ:|z|<1} and satisfying |f(z)|≤1.

Schur problem (or Carathéodory-Fejér interpolation)

Given complex numbers c0,c1,…,cn, find a function f(z)=∑j=0ncjzj+∑j=n+1∞fjzj, which is analytic and bounded by Template:Math on the unit disk.[1] The method of solving this problem as well as similar problems (e.g. solving Toeplitz systems and Nevanlinna-Pick interpolation) is known as the Schur algorithm (also called coefficient stripping or layer stripping). One of the algorithm's most important properties is that it generates Template:Math orthogonal polynomials which can be used as orthonormal basis functions to expand any Template:Mvarth-order polynomial.[2] It is closely related to the Levinson algorithm though Schur algorithm is numerically more stable and better suited to parallel processing.[3]

Schur function

Consider the Carathéodory function of a unique probability measure dμ on the unit circle 𝕋={z∈ℂ:|z|=1} given by F(z)=∫eiθ+zeiθ−zdμ(θ), where ∫dμ(θ)=1 implies F(0)=1.[4] Then the association F(z)=1+zf(z)1−zf(z), sets up a one-to-one correspondence between Carathéodory functions and Schur functions f(z) given by the inverse formula: f(z)=z−1(F(z)−1F(z)+1).

Schur algorithm

Schur's algorithm is an iterative construction based on Möbius transformations that maps one Schur function to another.[4][5] The algorithm defines an infinite sequence of Schur functions f≡f0,f1,…,fn,… and Schur parameters γ0,γ1,…,γn,… (also called Verblunsky coefficient or reflection coefficient) via the recursion:[6] fj+1=1zfj(z)−γj1−γj‾fj(z),fj(0)≡γj∈𝔻, which stops if fj(z)≡eiθ=γj∈𝕋. One can invert the transformation as f(z)≡f0(z)=γ0+zf1(z)1+γ0‾zf1(z) or, equivalently, as continued fraction expansion of the Schur function f0(z)=γ0+1−|γ0|2γ0‾+1zγ1+z(1−|γ1|2)γ1‾+1zγ2+⋯ by repeatedly using the fact that fj(z)=γj+1−|γj|2γj‾+1zfj+1(z).

See also

References

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