Schur class
In complex analysis, the Schur class is the set of holomorphic functions defined on the open unit disk and satisfying that solve the Schur problem: Given complex numbers , find a function
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 on the unit circle given by
where implies .[4] Then the association
sets up a one-to-one correspondence between Carathéodory functions and Schur functions given by the inverse formula:
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 and Schur parameters (also called Verblunsky coefficient or reflection coefficient) via the recursion:[6]
which stops if . One can invert the transformation as
or, equivalently, as continued fraction expansion of the Schur function
by repeatedly using the fact that