Improved Upper Bounds for Numerical Radius Inequalities of Operator Matrices and Their Applications

Abstract

This study presents new upper bounds for the numerical radii of operator matrices, with a focus on $n \times n$ and $2 \times 2$ block matrices acting on Hilbert space direct sums. By employing techniques such as the H\"older-McCarthy inequality, Jensen's inequality, Bohr's inequality, and extensions of the Buzano inequality, we derive improved estimates that refine classical results by Kittaneh, El-Haddad, Dragomir, Buzano, and others. Our main contributions include bounds for general operator matrices, specific results for off-diagonal matrices, and inequalities for sums and products of operators. Through detailed comparisons and special cases, we demonstrate that our results enhance existing numerical radius inequalities. A key feature of our work is the use of parameter-dependent refinements with constants derived from extended Buzano-type inequalities. The applications of these results span quantum mechanics, integro-differential equations, and fractional calculus, providing sharper tools for stability analysis and numerical approximation in mathematical physics.