设H是一个Hilbert空间.B(H)表示所有H到H的有界线性算子构成的Banach空间.设T={f(z):f(z)=zI-sum from n=2 to∞z^n A_n在单位圆盘|z|<1上解析,其中系数A_n是H到H的紧正Hermitian算子,I表示H上的恒等算子,sum from n=2 to∞n(A_nx,x)...设H是一个Hilbert空间.B(H)表示所有H到H的有界线性算子构成的Banach空间.设T={f(z):f(z)=zI-sum from n=2 to∞z^n A_n在单位圆盘|z|<1上解析,其中系数A_n是H到H的紧正Hermitian算子,I表示H上的恒等算子,sum from n=2 to∞n(A_nx,x)≤1对所有x∈H,‖x‖=1成立}.该文研究了函数族T的极值点.展开更多
A new approach that bounds the largest eigenvalue of 3 × 3 correlation matrices is presented. Optimal bounds by given determinant and trace of the squared correlation matrix are derived and shown to be more strin...A new approach that bounds the largest eigenvalue of 3 × 3 correlation matrices is presented. Optimal bounds by given determinant and trace of the squared correlation matrix are derived and shown to be more stringent than the optimal bounds by Wolkowicz and Styan in specific cases.展开更多
Through the real representations of quaternion matrices and matrix rank method, we give the expression of the real ma-trices in least-squares g-inverse and minimum norm g-inverse. From these formulas, we derive the ex...Through the real representations of quaternion matrices and matrix rank method, we give the expression of the real ma-trices in least-squares g-inverse and minimum norm g-inverse. From these formulas, we derive the extreme ranks of the real matrices. As applications, we establish necessary and sufficient conditions for some special least-squares g-inverse and minimum norm g-inverse.展开更多
文摘设H是一个Hilbert空间.B(H)表示所有H到H的有界线性算子构成的Banach空间.设T={f(z):f(z)=zI-sum from n=2 to∞z^n A_n在单位圆盘|z|<1上解析,其中系数A_n是H到H的紧正Hermitian算子,I表示H上的恒等算子,sum from n=2 to∞n(A_nx,x)≤1对所有x∈H,‖x‖=1成立}.该文研究了函数族T的极值点.
文摘A new approach that bounds the largest eigenvalue of 3 × 3 correlation matrices is presented. Optimal bounds by given determinant and trace of the squared correlation matrix are derived and shown to be more stringent than the optimal bounds by Wolkowicz and Styan in specific cases.
文摘Through the real representations of quaternion matrices and matrix rank method, we give the expression of the real ma-trices in least-squares g-inverse and minimum norm g-inverse. From these formulas, we derive the extreme ranks of the real matrices. As applications, we establish necessary and sufficient conditions for some special least-squares g-inverse and minimum norm g-inverse.