Bivariate homogeneous functions of two parameters: Monotonicity, convexity, comparisons, and functional inequalities

IF 1.2 3区 数学 Q1 MATHEMATICS
Zhen-Hang Yang , Feng Qi
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引用次数: 0

Abstract

The bivariate homogeneous functions of two parameters are also called the bivariate means of two parameters. In the paper, the authors survey some results published since 2005 about monotonicity, logarithmic convexity, and Schur convexity of the bivariate homogeneous functions of two parameters, review the Minkowski, Hölder, Chebyshev, and Hermite–Hadamard type inequalities for the bivariate homogeneous functions of two parameters, and exhibit comparisons of the bivariate homogeneous functions of two parameters. Applying these results, the authors derive and remark some nice inequalities for the bivariate homogeneous functions of two parameters.
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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