paper

Upper bounds for numerical radius inequalities involving off-diagonal operator matrices

arXiv:1706.04497 · doi:10.1215/20088752-2017-0029

Abstract

In this paper, we establish some upper bounds for numerical radius inequalities including of operator matrices and their off-diagonal parts. Among other inequalities, it is shown that if , then \begin{align*} ω^{r}(T)\leq 2^{r-2}\left\|f^{2r}(|X|)+g^{2r}(|Y^*|)\right\|^\frac{1}{2}\left\|f^{2r}(|Y|)+g^{2r}(|X^*|)\right\|^\frac{1}{2} \end{align*} and \begin{align*} ω^{r}(T)\leq 2^{r-2}\left\|f^{2r}(|X|)+f^{2r}(|Y^*|)\right\|^\frac{1}{2}\left\|g^{2r}(|Y|)+g^{2r}(|X^*|)\right\|^\frac{1}{2}, \end{align*} where are bounded linear operators on a Hilbert space , and , are nonnegative continuous functions on satisfying the relation . Moreover, we present some inequalities involving the generalized Euclidean operator radius of operators .

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