
We know that a real-valued function \(f: D\to\mathbb{R}\) defined on a nonempty convex set \(D\) is called convex (on \(D\)) if the inequality \[ f(\lambda x+ (1-\lambda) y)\leq \lambda f(x)+ (1-\lambda) f(y)\quad (x,y\in D,\;\lambda\in (0,1)) \] holds. Here, the author studies the conditional version of the above inequality in the cases when (i) \(y= \omega\) is a fixed element of \(D\), (ii) \(\lambda x+(1- \lambda)y= \omega\) is a fixed element of \(D\); for details we refer the reader to the paper.
convex functions, inequality, convexity, Applied Mathematics, deviation mean value, Inequalities for sums, series and integrals, conditional inequalities, conditional convexity, Convexity of real functions in one variable, generalizations, Analysis
convex functions, inequality, convexity, Applied Mathematics, deviation mean value, Inequalities for sums, series and integrals, conditional inequalities, conditional convexity, Convexity of real functions in one variable, generalizations, Analysis
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