23 research outputs found
Matrix Inequalities for Convex Functions
AbstractMany converses of Jensen's inequality for convex functions can be found in the literature. Here we give matrix versions, with matrix weights, of these inequalities. Some applications to the Hadamard product of matrices are also given
On Kedlaya type inequalities for weighted means
In 2016 we proved that for every symmetric, repetition invariant and Jensen
concave mean the Kedlaya-type inequality holds for an
arbitrary ( stands for the arithmetic mean). We are going
to prove the weighted counterpart of this inequality. More precisely, if
is a vector with corresponding (non-normalized) weights
and denotes the weighted mean then, under
analogous conditions on , the inequality holds for every and such that the sequence
is decreasing.Comment: J. Inequal. Appl. (2018
About the Neuberg-Pedoe and the Oppenheim inequalities
AbstractThis paper is a complete review and unified treatment of recent results conerning the Neuberg-Pedoe and Oppenheim inequalities. Some new proofs and generalizations of these results are also added
Weighted averages of n-convex functions via extension of Montgomery’s identity
Using an extension of Montgomery’s identity and the Green’s function, we obtain new identities and related inequalities for weighted averages of n-convex functions, i.e. the sum ∑i=1mρih(λi) and the integral ∫abρ(λ)h(γ(λ))dλ where h is an n-convex function. © 2019, The Author(s)
Positivity of sums and integrals for n-convex functions via the Fink identity
We consider the positivity of the sum Σ i=1 ; n ρ i F(ξ i ), where F is a convex function of higher order, as well as analogous results involving the integral ∫ a0 b0 ρ(ξ)F(g(ξ))dξ . We use a representation of the function F via the Fink identity and the Green function that leads us to identities from which we obtain conditions for positivity of the above-mentioned sum and integral. We also obtain bounds for the integral remainders which occur in these identities, as well as corresponding mean value results. © Tübitak