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Multidimensional indicator after Ivanov is a generalization of the notion of indicator, that is well-known for analytic functions in one complex variable, to analytic functions in several complex variables. We prove an analogue of…

Complex Variables · Mathematics 2024-01-08 Aleksandr Mkrtchyan , Armen Vagharshakyan

The piecewise-concave function may be used to approximate a wide range of other functions to arbitrary precision over a bounded set. In this short paper, this property is proven for three function classes: (a) the multivariate twice…

Optimization and Control · Mathematics 2014-04-18 Gene A. Bunin

We consider approximations of a continuous function on a countable normed Fr\'{e}chet space by analytic and $*$-analytic. Also we found a criterium of the existence of an extension of a continuous function from a dense subspace of a…

Functional Analysis · Mathematics 2015-05-01 M. A. Mytrofanov , A. V. Ravsky

In this paper provide sufficient and necessary conditions for the minimax equality for extended-valued $\Phi$-convex functions. As an application we establish sufficient and necessary conditions for the minimax equality for convex-concave…

Optimization and Control · Mathematics 2017-01-11 Monika Syga

The main result (roughly) is that if (H_i) converges weakly to H and if also f(H_i) converges weakly to f(H), for a single strictly convex continuous function f, then (H_i) must converge strongly to H. One application is that if f(pr(H)) =…

Functional Analysis · Mathematics 2017-06-09 Lawrence G. Brown

In this paper we consider the approximation of a function by its interpolating multilinear spline and the approximation of its derivatives by the derivatives of the corresponding spline. We derive formulas for the uniform approximation…

Numerical Analysis · Mathematics 2013-08-27 Ryan Anderson , Yuliya Babenko , Tetiana Leskevych

Hajek's stochastic comparison result is generalised to multivariate stochastic sum processes with univariate convex data functions and for univariate monoton nondecreasing convex data functions for processes with and without drift…

Probability · Mathematics 2014-08-14 Joerg Kampen

In this work, several sharp bounds for the \v{C}eby\v{s}ev functional involving various type of functions are proved. In particular, for the \v{C}eby\v{s}ev functional of two absolutely continuous functions whose first derivatives are both…

Classical Analysis and ODEs · Mathematics 2023-07-27 Mohammad W. Alomari

We prove invariance theorems for general inequalities of different metrics and apply them to limit relations between the sharp constants in the multivariate Markov-Bernstein-Nikolskii type inequalities with the polyharmonic operator for…

Classical Analysis and ODEs · Mathematics 2020-02-27 Michael I. Ganzburg

A rigorous connection between large deviations theory and Gamma-convergence is established. Applications include representations formulas for rate functions, a contraction principle for measurable maps, a large deviations principle for…

Probability · Mathematics 2018-02-02 Mauro Mariani

We introduce an asymmetric operator of generalised translation, define the generalised modulus of smoothness by its means, and obtain the direct and inverse theorems in approximation theory for it.

Functional Analysis · Mathematics 2012-08-31 Mikhail K. Potapov , Faton M. Berisha

Extending classical results on polytopal approximation of convex bodies, we derive asymptotic formulas for the weighted approximation of smooth convex functions by piecewise affine convex functions as the number of their facets tends to…

Optimization and Control · Mathematics 2025-10-01 Fernanda M. Baêta

We review sandwich theorems from the theory of convex functions.

Classical Analysis and ODEs · Mathematics 2015-09-22 Flavia-Corina Mitroi-Symeonidis

There are given conditions for represention of a function of many arguments as the difference of convex functions.

Optimization and Control · Mathematics 2025-09-08 Igor Proudnikov

We give direct and inverse theorems for the weighted approximation of functions with inner singularities by combinations of Bernstein polynomials.

Functional Analysis · Mathematics 2011-04-25 Wen-Ming Lu , Lin Zhang

We recall two approaches to recent improvements of the classical Sobolev inequality. The first one follows the point of view of Real Analysis, while the second one relies on tools from Convex Geometry. In this paper we prove a (sharp)…

Functional Analysis · Mathematics 2011-07-13 David Alonso-Gutiérrez , Jesús Bastero , Julio Bernués

In this paper, we obtain some companions of Ostrowski type inequality for absolutely continuous functions whose second derivatives absolute value are convex and concave.Finally, we gave some applications for special means.

Functional Analysis · Mathematics 2012-10-24 M. Emin Özdemir , Merve Avci Ardic

The following is a compilation of some techniques in Alexandrov's geometry which are directly connected to convexity.

Differential Geometry · Mathematics 2018-07-09 Anton Petrunin

We disprove a conjecture of A. Koldobsky asking whether it is enough to compare $(n-2)$-derivatives of the projection functions of two symmetric convex bodies in the Shephard problem in order to get a positive answer in all dimensions.

Metric Geometry · Mathematics 2007-07-11 V. Yaskin

Given an affine variety X and a finite dimensional vector space of regular functions L on X, we associate a convex body to (X, L) such that its volume is responsible for the number of solutions of a generic system of functions from L. This…

Algebraic Geometry · Mathematics 2008-04-28 Kiumars Kaveh , Askold G. Khovanskii