2013
DOI: 10.7153/mia-16-96
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Generalization of Jensen's inequality by Lidstone's polynomial and related results

Abstract: Abstract. In this paper we consider (2n) -convex functions and completely convex functions. Using Lidstone's interpolating polynomials and conditions on Green's functions we present results for Jensen's inequality and converses of Jensen's inequality for signed measure. By using the obtained inequalities, we produce new exponentially convex functions. Finally, we give several examples of the families of functions for which the obtained results can be applied.Mathematics subject classification (2010): 26D15, 26… Show more

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Cited by 8 publications
(8 citation statements)
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“…if either 0 ≤ δ < 1 < γ or 1 < δ ≤ θ , and inequality (50) holds in reverse if 0 ≤ δ ≤ γ < 1. Raising the power 1 θ-1 in (50),…”
mentioning
confidence: 99%
“…if either 0 ≤ δ < 1 < γ or 1 < δ ≤ θ , and inequality (50) holds in reverse if 0 ≤ δ ≤ γ < 1. Raising the power 1 θ-1 in (50),…”
mentioning
confidence: 99%
“…In seek of applications, bounds for identities associated to constructed functional are also discussed. Moreover, by defining the functional as difference of right and left sides of extended inequality (40) (where B is defined in (41)), it is possible to study n-exponential convexity, exponential convexity, and applications to Stolarsky-type means as discussed by Aras-Gazic et al, in [17] (Sections 5 and 6). This article extends the results of [8] on time scales.…”
Section: Corollary 13mentioning
confidence: 99%
“…For instance, in [4][5][6][7], improvements of the operated version of Jensen's inequality are given. In [8], Aras-Gazic et al generalized Jensen's inequality via the Hermite polynomial.…”
Section: Introductionmentioning
confidence: 99%
“…This seemed plausible because the Lidstone series, a generalization of the Taylor series, approximates a given function in the neighborhood of two points instead of one by using the even derivatives. Such series have been studied by G. J. Lidstone (1929), H. Poritsky (1932), J. M. Wittaker (1934) and others (see [3]). Definition 1.6.…”
Section: Theorem 11 (Majorization Theoremmentioning
confidence: 99%