Journal of Frame and Matrix Theory

Journal of Frame and Matrix Theory

Some probability inequalities in Riesz spaces

Document Type : Original Article

Authors
1 Farhangian University of Sabzevar, Razavi Khorasan Province, Sabzevar, Iran
2 Department of Mathematics and Computer Sciences, Hakim Sabzevari University, P.O. Box 397, Sabzevar, Iran.
Abstract
In this paper, we extend several classical probability inequalities to the Riesz space setting. We provide Marshall’s inequality in Riesz spaces. The Marshall’s inequality is stronger than the Kolmogorov’s inequality. It gives a bound on the probability for the partial sums of a sequence of independent random variables. Also, we state an inequality of maximal increment in Riesz space which known as Shao inequality. In addition, we find a better estimate for Etemadi’s inequality in vector lattices. Furthermore we establish weak symmetrization inequalities and Strong symmetrization inequalities in the framework of measure-free. In the weak symmetrization inequalities we state the relation between tail probabilities of random variables and tail probabilities of their symmetrizations. In the Strong symmetrization inequalities we extend the weak symmetrization inequalities to the maximal inequalities.
Keywords
Subjects

Volume 3, Issue 1
Winter 2027
Pages 20-36

  • Receive Date 08 November 2025
  • Revise Date 17 August 2026
  • Accept Date 24 August 2026