
The author discusses the usefulness of some concepts of the comparative convexity of two functions. He defines, for instance, \(f\) as \textit{absolutely} more convex than \(g\) on some interval \([a,b]\) if for all \(\lambda_1,\lambda_2\geq 0\), \(\lambda_1+ \lambda_2= 1\), and all \(x_1,x_2\in [a,b]\), \[ \lambda_1 f(x_1)+ \lambda_2f(x_2)- f(\lambda_1 x_1+ \lambda_2 x_2)\geq \lambda_1 g(x_1)+ \lambda_2g(x_2)- g(\lambda_1 x_1+ \lambda_2 x_2); \] and, for functions of the same sign, \(f\) as a \textit{relatively} more convex than \(g\), if for all \(\lambda_1,\lambda_2\geq 0\), \(\lambda_1+ \lambda_2=1\), and all \(x_1,x_2\in [a,b]\), \[ {\lambda_1 f(x_1)+ \lambda_2 f(x_2)\over |f(\lambda_1 x_1+ \lambda_2 x_2)|}\geq {\lambda_1 g(x_1)+ \lambda_2 g(x_2)\over|g(\lambda_1 x_1+ \lambda_2 x_2)|}. \] Several results, some of them written in the language of the random variables and the expectation operator, are presented. Relations to some earlier concepts are discussed.
convex function, expectation operator, Applied Mathematics, Jensen inequality, Convexity of real functions in one variable, generalizations, random variables, Inequalities; stochastic orderings, Inequalities for sums, series and integrals, comparative convexity, Analysis
convex function, expectation operator, Applied Mathematics, Jensen inequality, Convexity of real functions in one variable, generalizations, random variables, Inequalities; stochastic orderings, Inequalities for sums, series and integrals, comparative convexity, Analysis
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