Journal of Inequalities and Applications (Jun 2023)

On some inequalities for uniformly convex mapping with estimations to normal distributions

  • Saad Ihsan Butt,
  • Yamin Sayyari,
  • Praveen Agarwal,
  • Juan J. Nieto,
  • Muhammad Umar

DOI
https://doi.org/10.1186/s13660-023-02997-z
Journal volume & issue
Vol. 2023, no. 1
pp. 1 – 29

Abstract

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Abstract In this paper, we introduce notable Jensen–Mercer inequality for a general class of convex functions, namely uniformly convex functions. We explore some interesting properties of such a class of functions along with some examples. As a result, we establish Hermite–Jensen–Mercer inequalities pertaining uniformly convex functions by considering the class of fractional integral operators. Moreover, we establish Mercer–Ostrowski inequalities for conformable integral operator via differentiable uniformly convex functions. Finally, we apply our inequalities to get estimations for normal probability distributions (Gaussian distributions).

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