A convex-block approach for numerical radius inequalities
Mohammad Sababheh, Cristian Conde, and Hamid Reza Moradi

TL;DR
This paper introduces a convex-block method to derive new refined inequalities for the numerical radius of Hilbert space operators, enhancing understanding of operator norms, Cartesian parts, and transformations.
Contribution
It presents a novel convex-block approach that improves existing numerical radius inequalities and provides new bounds involving operator products and transforms.
Findings
New refined inequalities for numerical radius of operators
Comparisons among operator norms, Cartesian parts, and radii
Bounds involving the Aluthge transform and operator products
Abstract
This article implements a simple convex approach and block techniques to obtain several new refined versions of numerical radius inequalities for Hilbert space operators. This includes comparisons among the norms of the operators, their Cartesian parts, their numerical radii, the numerical radius of the product of two operators, and the Aluthge transform.
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Taxonomy
TopicsMathematical Inequalities and Applications · Matrix Theory and Algorithms · Multi-Criteria Decision Making
