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Schur-Convexity on Generalized Information Entropy and Its Applications

机译:广义信息熵的舒尔凸性及其应用

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The information entropy has general applications in different subjects, such as information theory, linear algebra, signal processing, dynamical systems, ergodic theory, probability and statistical. Then the study of inequality on the information entropy has important signification in theory. Schur-convexity and Schur-geometric convexity and Schur-harmonic convexity entropy are studied for the generalized information based on the well-known Schur's condition. As applications, some inequalities of the entropy are established by use of majorization.
机译:信息熵在信息论,线性代数,信号处理,动力学系统,遍历论,概率论和统计论等不同学科中具有普遍的应用。因此,关于信息熵不等式的研究具有重要的理论意义。基于众所周知的舒尔条件,研究了广义信息的舒尔凸性和舒尔几何凸性以及舒尔-调和凸熵。作为应用,通过使用多数化建立了熵的一些不等式。

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