
Summary: We describe a systematic approach to the recovery of a function analytic in the upper half-plane, \(C^+\), from measurements over a finite interval on the real axis, \(D\subset R\). Analytic continuation problems of this type are well known to be ill-posed. Thus, the best one can hope for is a simple, linear procedure which exposes this underlying difficulty and solves the problem in a least-squares sense. To accomplish this, we first construct an explicit analytic approximation of the desired function and recast the continuation problem in terms of a `residual function' defined on the measurement window \(D\) itself. The resulting procedure is robust in the presence of noise, and we demonstrate its performance with some numerical experiments.
ill-posed problem, Numerical methods for integral equations, analytic continuation, General theory of numerical methods in complex analysis (potential theory, etc.), integral equation of convolution type, Kramers-Kronig analysis, Fourier transform, Integral equations of the convolution type (Abel, Picard, Toeplitz and Wiener-Hopf type), Analytic continuation of functions of one complex variable, singular-value expansions
ill-posed problem, Numerical methods for integral equations, analytic continuation, General theory of numerical methods in complex analysis (potential theory, etc.), integral equation of convolution type, Kramers-Kronig analysis, Fourier transform, Integral equations of the convolution type (Abel, Picard, Toeplitz and Wiener-Hopf type), Analytic continuation of functions of one complex variable, singular-value expansions
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