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We consider a partial ordering of majorization.
The Schur-convexity described the ordering of majorization, the order-preserving functions were first comprehensively studied by Issai Schur in 1923.
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To continue our discussion, we need definitions of some stochastic orders and the concept of majorization which is given in Section 2.
For the concept of majorization, the order-preserving functions were first systematically studied by Schur (see [1, 2], p.79).
In order to tackle this new descriptor, we extend prior results of majorization into the realm of weighted majorization [23], and then we express the descriptor as an appropriate p-Schur-convex function to which the new technique can be applied.
This new order opened a path for the study to generalize the theory of majorization of Hardy et al. [18].
Firstly, we recall the definitions of majorization and weak majorization.
Considering a weighted relation of majorization, Sherman obtained a useful generalization of the classical majorization inequality.
Other notions of majorization are examined in these C⁎-algebras.
Some kinds of majorization such as multivariate or matrix majorization were motivated by the concepts of vector majorization and were introduced in [3].
Let us now give the most general definition of majorization.
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