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We first present a determinant inequality related to partial traces for positive semidefinite block matrices. Our result extends a result of Lin [Czech. Math. J. 66 (2016)] and improves a result of Kuai [Linear Multilinear Algebra 66…

Functional Analysis · Mathematics 2022-01-20 Yongtao Li

Let $A$ be an $m\times m$ positive semidefinite block matrix with each block being $n$-square. We write $\mathrm{tr}_1$ and $\mathrm{tr}_2$ for the first and second partial trace, respectively. In this paper, we prove the following…

Functional Analysis · Mathematics 2021-12-23 Yongtao Li , Weijun Liu , Yang Huang

We present inequalities related to generalized matrix function for positive semidefinite block matrices. We introduce partial generalized matrix functions corresponding to partial traces, and then provide a unified extension of the recent…

Functional Analysis · Mathematics 2022-07-05 Yang Huang , Yongtao Li , Lihua Feng , Weijun Liu

In this paper, we first present simple proofs of Choi's results [4], then we give a short alternative proof for Fiedler and Markham's inequality [6]. We also obtain additional matrix inequalities related to partial determinants.

Functional Analysis · Mathematics 2020-03-16 Yongtao Li , Lihua Feng , Zheng Huang , Weijun Liu

Let $A$ be a positive semidefinite $m\times m$ block matrix with each block $n$-square, then the following determinantal inequality for partial traces holds \[ (\mathrm{tr} A)^{mn} - \det(\mathrm{tr}_2 A)^n \ge \bigl| \det A -…

Functional Analysis · Mathematics 2020-02-25 Yongtao Li , Lihua Feng , Weijun Liu , Yang Huang

In this short paper, we give a complete and affirmative answer to a conjecture on matrix trace inequalities for the sum of positive semidefinite matrices. We also apply the obtained inequality to derive a kind of generalized Golden-Thompson…

Functional Analysis · Mathematics 2010-08-23 Shigeru Furuichi , Minghua Lin

We prove inequalities on non-integer powers of products of generalized matrices functions on the sum of positive semi-definite matrices. For example, for any real number $r \in \{1\} \cup [2, \infty)$, positive semi-definite matrices $A_i,\…

Functional Analysis · Mathematics 2016-09-01 Shaowu Huang , Chi-Kwong Li , Yiu-Tung Poon , Qing-Wen Wang

The purpose of this paper is two-fold: we present some matrix inequalities of log-majorization type for eigenvalues indexed by a sequence; we then apply our main theorem to generalize and improve the Hua-Marcus' inequalities. Our results…

Functional Analysis · Mathematics 2021-03-11 Bo-Yan Xi , Fuzhen Zhang

Following the recent work of Jiang and Lin (Linear Algebra Appl. 585 (2020) 45--49), we present more results (bounds) on Harnack type inequalities for matrices in terms of majorization (i.e., in partial products) of eigenvalues and singular…

Functional Analysis · Mathematics 2019-12-09 Chaojun Yang , Fuzhen Zhang

Hadamard's determinant inequality was refined and generalized by Zhang and Yang in [Acta Math. Appl. Sinica 20 (1997) 269-274]. Some special cases of the result were rediscovered recently by Rozanski, Witula and Hetmaniok in [Linear Algebra…

Functional Analysis · Mathematics 2020-08-11 Minghua Lin , Gord Sinnamon

We present some new inequalities related to determinant and trace for positive semidefinite block matrices by using symmetric tensor product, which are extensions of Fiedler-Markham's inequality and Thompson's inequality.

Rings and Algebras · Mathematics 2020-03-03 Yongtao Li , Yang Huang , Lihua Feng , Weijun Liu

For a positive semidefinite matrix $H= \begin{bmatrix} A&X\\ X^{*}&B \end{bmatrix} $, we consider the norm inequality $ ||H||\leq ||A+B|| $. We show that this inequality holds under certain conditions. Some related topics are also…

Functional Analysis · Mathematics 2018-08-02 Tomohiro Hayashi

Several new trace norm inequalities are established for 2n x 2n block matrices, in the special case where the four n x n blocks are diagonal. Some of the inequalities are non-commutative analogs of Hanner's inequality, others describe the…

Classical Analysis and ODEs · Mathematics 2007-05-23 Christopher King , Michael Nathanson

We prove some eigenvalue inequalities for positive semidefinite matrices partitioned into four blocks. The inradius of the numerical range of the off-diagonal block contributes to these estimates. Some related norm inequalities are given…

Functional Analysis · Mathematics 2021-12-01 Jean-Christophe Bourin , Eun-Young Lee

In this paper, we prove a trace inequality $\text{Tr}[ f(A) A^s B^s ] \leq \text{Tr}[ f(A) (A^{1/2} B A^{1/2} )^s ]$ for any positive and monotone increasing function $f$, $s\in[0,1]$, and positive semi-definite matrices $A$ and $B$. On the…

Mathematical Physics · Physics 2025-09-25 Po-Chieh Liu , Hao-Chung Cheng

Let $H$ be a positive semi-definite matrix partitioned in $\beta\times \beta$ Hermitian blocks, $H=[A_{s,t}]$, $1\le s,t,\le \beta$. Then, for all symmetric norms, {equation*} \| H \| \le \| \sum_{s=1}^{\beta} A_{s,s} \|. {equation*} The…

Functional Analysis · Mathematics 2012-09-11 Jean-Christophe Bourin , Eun-Young Lee , Minghua Lin

This paper studies an optimization problem on the sum of traces of matrix quadratic forms in $m$ semi-orthogonal matrices, which can be considered as a generalization of the synchronization of rotations. While the problem is nonconvex, the…

Optimization and Control · Mathematics 2021-10-13 Joong-Ho Won , Teng Zhang , Hua Zhou

We bring in some new notions associated with $2\times 2$ block positive semidefinite matrices. These notions concern the inequalities between the singular values of the off diagonal blocks and the eigenvalues of the arithmetic mean or…

Functional Analysis · Mathematics 2016-09-28 Minghua Lin

We obtain generalisations of some inequalities for positive unital linear maps on matrix algebra. This also provides several positive semidefinite matrices and we get some old and new inequalities involving the eigenvalues of a Hermitian…

Functional Analysis · Mathematics 2016-02-16 R. Sharma , P. Devi , R. kumari

For positive semi-definite block-matrix $M,$ we say that $M$ is P.S.D. and we write $M=\begin{pmatrix} A \& X\\ {X^*} \& B\end{pmatrix} \in {\mathbb{M}}\_{n+m}^+$, with $A\in {\mathbb{M}}\_n^+$, $B \in {\mathbb{M}}\_m^+.$ The focus is on…

Functional Analysis · Mathematics 2015-09-15 Antoine Mhanna
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