Publication | Open Access
Infinity norm upper bounds for the inverse of $ SDD_1 $ matrices
23
Citations
10
References
2022
Year
Spectral TheoryLow-rank ApproximationEngineeringMatrix AnalysisNew ProofMatrix MethodInfinity NormFunctional AnalysisRandom MatrixMatrix TheoryUpper Bounds
<abstract><p>In this paper, a new proof that $ SDD_1 $ matrices is a subclass of $ H $-matrices is presented, and some properties of $ SDD_1 $ matrices are obtained. Based on the new proof, some upper bounds of the infinity norm of inverse of $ SDD_1 $ matrices and $ SDD $ matrices are given. Moreover, we show that these new bounds of $ SDD $ matrices are better than the well-known Varah bound for $ SDD $ matrices in some cases. In addition, some numerical examples are given to illustrate the corresponding results.</p></abstract>
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