Optimal general Hermite-Hadamard-type inequalities in a ball and their applications in multidimensional numerical integration

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Optimal general Hermite-Hadamard-type inequalities in a ball and their applications in multidimensional numerical integration. / Guessab, Allal; Semisalov, Boris.

In: Applied Numerical Mathematics, Vol. 170, 12.2021, p. 83-108.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{ce2f9313c1b34511baa5187925ec0d88,

title = "Optimal general Hermite-Hadamard-type inequalities in a ball and their applications in multidimensional numerical integration",

abstract = "In this paper, we are interested in the problem of approximation of a definite integral over a ball of a given function f in d-dimensional space when, rather than function evaluations, a number of integrals over certain (d−1)-dimensional hyperspheres are only available. In this context several families of {\textquoteleft}extended{\textquoteright} multidimensional integration formulas based on a weighted sum of integrals over some hyperspheres can be defined. The special cases include multivariate analogues of the well-known midpoint rule and the trapezoidal rule. Basic properties of these families are derived, in particular, we show that they all satisfy a multivariate version of Hermite–Hadamard inequality. As an immediate consequence of this inequality, we derive explicit expressions of the best constants, which appear in their optimal error estimates. Theoretical and numerical results show that the proposed method reaches at least the second order of approximation. We present several numerical examples to illustrate various features of these new cubature formulas.",

keywords = "Approximation, Best constants, Convexity, Cubature, Error estimates",

author = "Allal Guessab and Boris Semisalov",

note = "Publisher Copyright: {\textcopyright} 2021",

year = "2021",

month = dec,

doi = "10.1016/j.apnum.2021.07.016",

language = "English",

volume = "170",

pages = "83--108",

journal = "Applied Numerical Mathematics",

issn = "0168-9274",

publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Optimal general Hermite-Hadamard-type inequalities in a ball and their applications in multidimensional numerical integration

AU - Guessab, Allal

AU - Semisalov, Boris

PY - 2021/12

Y1 - 2021/12

N2 - In this paper, we are interested in the problem of approximation of a definite integral over a ball of a given function f in d-dimensional space when, rather than function evaluations, a number of integrals over certain (d−1)-dimensional hyperspheres are only available. In this context several families of ‘extended’ multidimensional integration formulas based on a weighted sum of integrals over some hyperspheres can be defined. The special cases include multivariate analogues of the well-known midpoint rule and the trapezoidal rule. Basic properties of these families are derived, in particular, we show that they all satisfy a multivariate version of Hermite–Hadamard inequality. As an immediate consequence of this inequality, we derive explicit expressions of the best constants, which appear in their optimal error estimates. Theoretical and numerical results show that the proposed method reaches at least the second order of approximation. We present several numerical examples to illustrate various features of these new cubature formulas.

AB - In this paper, we are interested in the problem of approximation of a definite integral over a ball of a given function f in d-dimensional space when, rather than function evaluations, a number of integrals over certain (d−1)-dimensional hyperspheres are only available. In this context several families of ‘extended’ multidimensional integration formulas based on a weighted sum of integrals over some hyperspheres can be defined. The special cases include multivariate analogues of the well-known midpoint rule and the trapezoidal rule. Basic properties of these families are derived, in particular, we show that they all satisfy a multivariate version of Hermite–Hadamard inequality. As an immediate consequence of this inequality, we derive explicit expressions of the best constants, which appear in their optimal error estimates. Theoretical and numerical results show that the proposed method reaches at least the second order of approximation. We present several numerical examples to illustrate various features of these new cubature formulas.

KW - Approximation

KW - Best constants

KW - Convexity

KW - Cubature

KW - Error estimates

UR - http://www.scopus.com/inward/record.url?scp=85111668157&partnerID=8YFLogxK

U2 - 10.1016/j.apnum.2021.07.016

DO - 10.1016/j.apnum.2021.07.016

M3 - Article

AN - SCOPUS:85111668157

VL - 170

SP - 83

EP - 108

JO - Applied Numerical Mathematics

JF - Applied Numerical Mathematics

SN - 0168-9274

ER -

ID: 29278838