2005
DOI: 10.1016/j.jmaa.2004.09.055
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On the positivity of symmetric polynomial functions. Part II: Lattice general results and positivity criteria for degrees 4 and 5

Abstract: We prove that homogeneous symmetric polynomial inequalities of degree p ∈ {4, 5} in n positive 1 variables can be algorithmically tested, on a finite set depending on the given inequality (Theorem 13); the test-set can be obtained by solving a finite number of equations of degree not exceeding p − 2. Section 3 discusses the structure of the ordered vector spaces (H [n] p , ) and (H [n] p , ). In Section 4, positivity criteria for degrees 4 and 5 are stated and proved. The main results are Theorems 10-14. P… Show more

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Cited by 27 publications
(44 citation statements)
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“…In this section, we review the Timefote's dimension-decreasing approach [7][8][9] and describe the mechanically decidable problems for a class of symmetric polynomial inequalities. A complete theoretical result is given.…”
Section: Timofte's Dimension-decreasing Approach and Mechanical Decismentioning
confidence: 99%
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“…In this section, we review the Timefote's dimension-decreasing approach [7][8][9] and describe the mechanically decidable problems for a class of symmetric polynomial inequalities. A complete theoretical result is given.…”
Section: Timofte's Dimension-decreasing Approach and Mechanical Decismentioning
confidence: 99%
“…Using Timofte's dimension-decreasing method for symmetric polynomial inequalities [7][8][9], combined with the inequality-proving package BOT-TEMA [1,[10][11][12] and a program which implements the method known as successive difference substitution [1,[13][14][15][16][17], we provide a procedure to decide the nonnegativity of the corresponding polynomial inequality such that the original integral inequality is mechanically decidable. For simplicity, all integrals mentioned in this paper are assumed to be Riemann's [18].…”
Section: Introductionmentioning
confidence: 99%
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“…Intuitively speaking, v(x) counts the distinct components of x, while v * (x) counts the non-zero distinct components only. [11,12] . (…”
Section: Problem Description and Preliminariesmentioning
confidence: 99%