51 research outputs found

    Reducible means and reducible inequalities

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    It is well-known that if a real valued function acting on a convex set satisfies the nn-variable Jensen inequality, for some natural number n2n\geq 2, then, for all k{1,,n}k\in\{1,\dots, n\}, it fulfills the kk-variable Jensen inequality as well. In other words, the arithmetic mean and the Jensen inequality (as a convexity property) are both reducible. Motivated by this phenomenon, we investigate this property concerning more general means and convexity notions. We introduce a wide class of means which generalize the well-known means for arbitrary linear spaces and enjoy a so-called reducibility property. Finally, we give a sufficient condition for the reducibility of the (M,N)(M,N)-convexity property of functions and also for H\"older--Minkowski type inequalities

    On Kedlaya type inequalities for weighted means

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    In 2016 we proved that for every symmetric, repetition invariant and Jensen concave mean M\mathscr{M} the Kedlaya-type inequality A(x1,M(x1,x2),,M(x1,,xn))M(x1,A(x1,x2),,A(x1,,xn)) \mathscr{A}\big(x_1,\mathscr{M}(x_1,x_2),\ldots,\mathscr{M}(x_1,\ldots,x_n)\big)\le \mathscr{M} \big(x_1, \mathscr{A}(x_1,x_2),\ldots,\mathscr{A}(x_1,\ldots,x_n)\big) holds for an arbitrary (xn)(x_n) (A\mathscr{A} stands for the arithmetic mean). We are going to prove the weighted counterpart of this inequality. More precisely, if (xn)(x_n) is a vector with corresponding (non-normalized) weights (λn)(\lambda_n) and Mi=1n(xi,λi)\mathscr{M}_{i=1}^n(x_i,\lambda_i) denotes the weighted mean then, under analogous conditions on M\mathscr{M}, the inequality Ai=1n(Mj=1i(xj,λj),λi)Mi=1n(Aj=1i(xj,λj),λi) \mathscr{A}_{i=1}^n \big(\mathscr{M}_{j=1}^i (x_j,\lambda_j),\:\lambda_i\big) \le \mathscr{M}_{i=1}^n \big(\mathscr{A}_{j=1}^i (x_j,\lambda_j),\:\lambda_i\big) holds for every (xn)(x_n) and (λn)(\lambda_n) such that the sequence (λkλ1++λk)(\frac{\lambda_k}{\lambda_1+\cdots+\lambda_k}) is decreasing.Comment: J. Inequal. Appl. (2018

    On the invariance equation for two-variable weighted nonsymmetric Bajraktarevi\'c means

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    The purpose of this paper is to investigate the invariance of the arithmetic mean with respect to two weighted Bajraktarevi\'c means, i.e., to solve the functional equation (fg) ⁣ ⁣1 ⁣ ⁣(tf(x)+sf(y)tg(x)+sg(y))+(hk) ⁣ ⁣1 ⁣ ⁣(sh(x)+th(y)sk(x)+tk(y))=x+y(x,yI), \bigg(\frac{f}{g}\bigg)^{\!\!-1}\!\!\bigg(\frac{tf(x)+sf(y)}{tg(x)+sg(y)}\bigg) +\bigg(\frac{h}{k}\bigg)^{\!\!-1}\!\!\bigg(\frac{sh(x)+th(y)}{sk(x)+tk(y)}\bigg)=x+y \qquad(x,y\in I), where f,g,h,k:IRf,g,h,k:I\to\mathbb{R} are unknown continuous functions such that g,kg,k are nowhere zero on II, the ratio functions f/gf/g, h/kh/k are strictly monotone on II, and t,sR+t,s\in\mathbb{R}_+ are constants different from each other. By the main result of this paper, the solutions of the above invariance equation can be expressed either in terms of hyperbolic functions or in terms of trigonometric functions and an additional weight function. For the necessity part of this result, we will assume that f,g,h,k:IRf,g,h,k:I\to\mathbb{R} are four times continuously differentiable
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