Improved bounds for the numerical radius via polar decomposition of operators
Pintu Bhunia

TL;DR
This paper derives new and improved bounds for the numerical radius of bounded linear operators on complex Hilbert spaces using polar decomposition, spectral radius, and Aluthge transform techniques.
Contribution
It introduces novel inequalities for the numerical radius that generalize and improve previous bounds by leveraging polar decomposition and related operator transforms.
Findings
Established new upper bounds involving the spectral radius and Aluthge transform.
Generalized existing inequalities for the numerical radius with tighter bounds.
Provided several related inequalities and bounds for operator norms.
Abstract
Using the polar decomposition of a bounded linear operator defined on a complex Hilbert space, we obtain several numerical radius inequalities of the operator , which generalize and improve the earlier related ones. Among other bounds, we show that if is the numerical radius of , then \begin{eqnarray*} w(A) &\leq& \frac12 \|A\|^{1/2} \left\| |A|^{t} + |A^*|^{1-t} \right \|, \end{eqnarray*} for all Also, we obtain some upper bounds for the numerical radius involving the spectral radius and the Aluthge transform of operators. It is shown that \begin{eqnarray*} w(A) &\leq& \|A\|^{1/2} \left( \frac12 \left \| \frac{ |A|+|A^*|}2 \right\| +\frac12 \left\| \widetilde{A}\right \| \right)^{1/2}, \end{eqnarray*} where is the Aluthge transform of and is the polar decomposition of . Other related results…
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Taxonomy
TopicsMathematical Inequalities and Applications · Matrix Theory and Algorithms · Fatigue and fracture mechanics
