A probabilistic proof of some integral formulas involving incomplete gamma functions

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Abstract

The theory of normal variance mixture distributions is used to provide elementary derivations of closed-form expressions for the definite integrals R∞ 0 x−2ν cos(bx)γ(ν, αx2) dx (for ν > 1/2, b > 0 α > 0) and R∞0 x2ν−1 cos(bx)Γ(−ν, αx2) dx (for ν > 0, b > 0 α > 0), where γ(a, x) and Γ(a, x) are the lower and upper incomplete gamma functions, respectively. The method of proof is of independent interest and could be used to derive further new definite integral formulas.
Original languageEnglish
JournalCommunications in Statistics: Theory and Methods
Early online date30 Jun 2024
DOIs
Publication statusE-pub ahead of print - 30 Jun 2024

Keywords

  • Incomplete gamma function
  • integral
  • normal variance mixture distribution

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