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Summation of power series by self-similar factor approximants

Author

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  • Yukalov, V.I.
  • Gluzman, S.
  • Sornette, D.

Abstract

A novel method of summation for power series is developed. The method is based on the self-similar approximation theory. The trick employed is in transforming, first, a series expansion into a product expansion and in applying the self-similar renormalization to the latter rather to the former. This results in self-similar factor approximants extrapolating the sought functions from the region of asymptotically small variables to their whole domains. The method of constructing crossover formulas, interpolating between small and large values of variables is also analysed. The techniques are illustrated on different series which are typical of problems in statistical mechanics, condensed-matter physics, and, generally, in many-body theory.

Suggested Citation

  • Yukalov, V.I. & Gluzman, S. & Sornette, D., 2003. "Summation of power series by self-similar factor approximants," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(3), pages 409-438.
    • Handle: RePEc:eee:phsmap:v:328:y:2003:i:3:p:409-438
    DOI: 10.1016/S0378-4371(03)00549-1
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    Cited by:

    1. Baofeng Sun & Mingyang Ma & Yan Li & Lili Zheng, 2020. "Analysis on the stability and evolutionary trend of the symbiosis system in the supply chain of fresh agricultural products," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-20, July.

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