Mathematics (Feb 2021)

Stieltjes and Hamburger Reduced Moment Problem When MaxEnt Solution Does Not Exist

  • Pier Luigi Novi Inverardi,
  • Aldo Tagliani

DOI
https://doi.org/10.3390/math9040309
Journal volume & issue
Vol. 9, no. 4
p. 309

Abstract

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For a given set of moments whose predetermined values represent the available information, we consider the case where the Maximum Entropy (MaxEnt) solutions for Stieltjes and Hamburger reduced moment problems do not exist. Genuinely relying upon MaxEnt rationale we find the distribution with largest entropy and we prove that this distribution gives the best approximation of the true but unknown underlying distribution. Despite the nice properties just listed, the suggested approximation suffers from some numerical drawbacks and we will discuss this aspect in detail in the paper.

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