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arXiv 1908.04499math.FA

Hilbert空间算子与算子矩阵数值半径的锐利不等式

Sharp inequalities for the numerical radius of Hilbert space operators and operator matrices

Pintu Bhunia, Kallol Paul, Raj kumar Nayak

AI总结:

本文研究复Hilbert空间上有界线性算子及算子矩阵的数值半径,建立了改进的上下界不等式,并用数值例子验证其优于已有结果。

摘要:

我们给出了定义在复Hilbert空间上的有界线性算子数值半径的新的上界和下界,这些界改进了已有结果。在本文证明的众多其他不等式中,我们证明了对于Hilbert空间H上的非零有界线性算子T,有w(T)≥‖T‖/2+m(T^2)/(2‖T‖),其中w(T)是T的数值半径,m(T^2)是T^2的Crawford数。这实质性地改进了已有不等式w(T)≥‖T‖/2。我们还得到了算子矩阵数值半径的一些上界和下界,并通过数值例子说明这些界优于已有界。

英文摘要:

We present new upper and lower bounds for the numerical radius of a bounded linear operator defined on a complex Hilbert space, which improve on the existing bounds. Among many other inequalities proved in this article, we show that for a non-zero bounded linear operator $T$ on a Hilbert space $H,$ $w(T)\geq \frac{\|T\|}{2}+\frac{m(T^2)}{2\|T\|}, $ where $w(T)$ is the numerical radius of $T$ and $m(T^2)$ is the Crawford number of $T^2$. This substantially improves on the existing inequality $w(T)\geq \frac{\|T\|}{2} .$ We also obtain some upper and lower bounds for the numerical radius of operator matrices and illustrate with numerical examples that these bounds are better than the existing bounds.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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