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Maximum-entropy approach to series extrapolation and analytic continuation

D A Drabold and G L Jones

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The authors use information theory (the principle of maximum entropy) to develop an approach to the problem of extrapolating power series. They suggest a well-defined way to map the extrapolation problem onto a moment problem, and show that the use of additional information about the function being extrapolated (such as asymptotic behaviour for large arguments) is important to obtaining accurate extrapolations. They apply the method to the virial expansion for the classical hard sphere equation of state, the quantum harmonic oscillator with octic perturbation and the symmetric Anderson model of relevance to magnetic impurities in metals. In each case the method yields excellent pointwise estimates of the function being extrapolated.


PACS

05.70.Ce Thermodynamic functions and equations of state

75.30.Hx Magnetic impurity interactions

02.60.Ed Interpolation; curve fitting

64.10.+h General theory of equations of state and phase equilibria

03.65.Ge Solutions of wave equations: bound states

02.30.Lt Sequences, series, and summability

MSC

74A15 Thermodynamics

82D40 Magnetic materials

40C15 Function-theoretic methods (including power series methods and semicontinuous methods)

40G10 Abel, Borel and power series methods

41A46 Approximation by arbitrary nonlinear expressions; widths and entropy

81Q05 Closed and approximate solutions to the Schrödinger, Dirac, Klein-Gordon and other quantum-mechanical equations

Subjects

Mathematical physics

Computational physics

Condensed matter: electrical, magnetic and optical

Condensed matter: structural, mechanical & thermal

Quantum information and quantum mechanics

Statistical physics and nonlinear systems

Dates

Issue 19 (7 October 1991)



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