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Windschitl type approximation formulas for the gamma function.

Zhen-Hang Yang1,2, Jing-Feng Tian1

  • 11College of Science and Technology, North China Electric Power University, Baoding, P.R. China.

Journal of Inequalities and Applications
|October 27, 2018
PubMed
Summary
This summary is machine-generated.

Researchers developed four new Windschitl-type approximation formulas for the gamma function. These formulas demonstrate useful properties, leading to new inequalities for gamma and factorial functions.

Keywords:
ConvexityGamma functionInequalityMonotonicityWindschitl type approximation formula

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Area of Science:

  • Mathematical Analysis
  • Number Theory

Background:

  • The gamma function is a fundamental concept in mathematical analysis, extending the factorial function to complex and real numbers.
  • Approximation formulas are crucial for efficiently computing and analyzing the behavior of the gamma function.

Purpose of the Study:

  • To introduce four novel Windschitl-type approximation formulas for the gamma function.
  • To investigate the properties (monotonicity and convexity) of functions involving these new approximations.
  • To derive new inequalities and refine existing ones for the gamma and factorial functions.

Main Methods:

  • Development of new approximation formulas based on Windschitl's work.
  • Analytical techniques to prove monotonicity and convexity properties.
  • Derivation of inequalities using the established properties.

Main Results:

  • Four new Windschitl-type approximation formulas for the gamma function were successfully derived.
  • The functions incorporating these formulas exhibit desirable properties like monotonicity and convexity.
  • New inequalities for the gamma and factorial functions were established.

Conclusions:

  • The novel approximation formulas offer valuable tools for gamma function analysis.
  • The proven properties and derived inequalities contribute to a deeper understanding of the gamma and factorial functions.
  • This work provides a new perspective and strengthens existing results in the field.