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Linear Algebra and its Applications
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Linear Algebra and its Applications
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Some inequalities of majorization type

Authors: Turkman, Ramazan; Paksoy, Vehbi Emrah; Zhang, Fuzhen;

Some inequalities of majorization type

Abstract

Some majorization inequalities on real vectors are provided and applied to derive some inequalities concerning norm, eigenvalues, singular values and traces of matrices. For a vector \(x=(x_1,x_2,\dots,x_n)\in{\mathbb R}^n\) one denotes by \(x^{\downarrow}=(x^{\downarrow}_1,x^{\downarrow}_2,\dots,x^{\downarrow}_n)\) the vector having the components of \(x\) rearranged in decreasing order. For \(x=(x_1,x_2,\dots,x_n)\) and \(y=(y_1,y_2,\dots,y_n)\) one says that \(x\) is weakly majorized by \(y\) and one denotes \(x\prec_wy\) if \(\sum_{i=1}^kx^{\downarrow}_i\leq\sum_{i=1}^ky^{\downarrow}_i\), \(\forall k=1,2,\dots,n\). If \(x\) is weakly majorized by \(y\) and \(\sum_{i=1}^kx^{\downarrow}_i=\sum_{i=1}^ky^{\downarrow}_i\) then one says that \(x\) is majorized by \(y\) and one denotes \(x\prec y\). By replacing the sums \(\sum\) by the products \(\prod\) one obtains the definitions of \(x\prec_{wlog}y\) and \(x\prec_{log}y\) (respectively \(x\) is weakly log majorized by \(y\) and \(x\) is log majorized by \(y\). Some majorization inequalities for vectors are provided, for instance {\parindent=6mm \begin{itemize}\item[i)] \(\frac{1}{m}(x_1,x_2,\dots,x_m)\prec(r_1y_1,r_2y_2,\dots,r_my_m)\) if \(x_i,y_i\in{\mathbb R}^n\) and \(x_i\prec r_1y_1+r_2y_2+\cdots+r_my_m\), \(i=1,2,\dots m\). \item[ii)] \(\frac{1}{m}(x_1,x_2,\dots,x_m)\prec_w(r_1y_1,r_2y_2,\dots,r_my_m)\) if \(x_i,y_i\in{\mathbb R}^n_+\) and \(x_i\prec_wy_1^{r_1}\circ y_2^{r_2}\circ\cdots\circ y_m^{r_m}\), \(i=1,2,\dots m\), where \(\circ\) denotes the componentwise product of two vectors. \end{itemize}} The special case \(m=2\) is applied to generate many matrix inequalities, for example: \((\sigma(\frac{A+B}{2}),(\sigma(\frac{A+B}{2}))\prec_w(\sigma(A),(\sigma(B))\), \((\sigma(AB),(\sigma(AB))\prec_{log}(\sigma^2(A),(\sigma^2(B))\), \(\frac{1}{2}\|(A+B)\oplus(A+B)\|\leq\|A\oplus B\|\), \(\|(AB)\oplus(AB)\|\leq\|A^*A\oplus B^*B\|\), \(\|(A\circ B)\oplus(A\circ B)\|\leq\|A^*A\oplus B^*B\|\), where for \(A\in M_n\), \(\sigma(A)\) denotes the singular value vector of A with the singular values arranged in decreasing order. A generalization and a different proof is provided for a recent result on majorization, concerning partitioned Hermitian positive semidefinite matrices.

Countries
United States, Turkey
Keywords

Eigenvalues, singular values, and eigenvectors, unitarily invariant norm, Eigenvalue, matrix inequality, Hermitian matrix, matrix norm, Matrix inequality, Hermitian matrices, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Discrete Mathematics and Combinatorics, Hermitian, skew-Hermitian, and related matrices, Majorization, trace, Numerical Analysis, Algebra and Number Theory, eigenvalues, positive semidefinite matrices, singular value, Unitarily invariant norm, Inequalities involving eigenvalues and eigenvectors, Positive semidefinite matrix, Singular value, Matrix norm, Miscellaneous inequalities involving matrices, majorization, Geometry and Topology, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
Green
hybrid