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This article is cited in 1 scientific paper (total in 1 paper)
Research Papers
Schur-convex functions of the $2$nd order on $ \mathbb{R}^n$
M. I. Revyakov St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences
Abstract:
In the author's earlier paper [Revyakov M., J. Multivariate Anal. 116 (2013) 25-34] concerning mathematical statistics, a need arose to employ functions called "Schur-convex functions of the $2$nd order with respect to two variables". In the present paper, the class of Schur-convex functions of the $2$nd order in $ n$ variables is introduced. Necessary and sufficient conditions (in the form of analogs of the Sylvester criterion) are established for a function to belong to this class. Examples are given of using Schur-convex functions of the $2$nd order for achieving maximal system reliability on the set of all possible allocations of elements into its subsystems.
Keywords:
Schur-convex function, Hessian matrix, Sylvester criterion, system reliability, ordered allocation, majorization on a line.
Received: 27.01.2018
Citation:
M. I. Revyakov, “Schur-convex functions of the $2$nd order on $ \mathbb{R}^n$”, Algebra i Analiz, 31:5 (2019), 184–205; St. Petersburg Math. J., 31:5 (2020), 887–902
Linking options:
https://www.mathnet.ru/eng/aa1672 https://www.mathnet.ru/eng/aa/v31/i5/p184
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Abstract page: | 274 | Full-text PDF : | 38 | References: | 62 | First page: | 25 |
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