Norm-based convergence bounds for nonsymmetric algebraic V-cycle multigrid methods
Reinhard Nabben, Ludwig Rooch

TL;DR
This paper extends a theoretical framework for analyzing nonsymmetric algebraic multigrid methods using HPD-induced norms, providing new convergence bounds and insights into multigrid operators and coarse-grid corrections.
Contribution
It generalizes existing analysis to any HPD matrix B, introduces new error operators, and extends convergence bounds to nonsymmetric V-cycle multigrid methods.
Findings
Provided sharp estimates for error propagation matrices.
Showed norms decrease with larger coarse spaces.
Extended the V-cycle convergence bound to nonsymmetric cases.
Abstract
Recently a new approach to analyze and create algebraic multigrid methods (AMG) for nonsymmetric and indefinite matrices was established. Convergence is measured in general norms induced by a certain HPD matrix and -orthogonal projections built by compatible transfer operators are used. Here we continue our theoretical framework, started in Nabben and Rooch (2026), for nonsymmetric algebraic multigrid methods using any HPD matrix to induce a norm. Our framework not only includes all recent results but also provides many new results. We consider two, slightly different, multigrid operators. The first one is the natural generalization of the error operator in the HPD case. The second operator is simpler to apply and has been studied before. However, an additional condition for the smoother is needed, which is in our terminology the -normality. We explain the…
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