On the Ideal Interpolation Operator in Algebraic Multigrid Methods
For researchers developing algebraic multigrid solvers, this work offers theoretical guidance on constructing more effective interpolation operators.
The paper establishes new characterizations (sufficient, necessary, and equivalent conditions) of the ideal interpolation operator in algebraic multigrid methods, showing more flexibility in its construction than previously thought. This provides new insights for designing algebraic multigrid algorithms.
Various algebraic multigrid algorithms have been developed for solving problems in scientific and engineering computation over the past decades. They have been shown to be well-suited for solving discretized partial differential equations on unstructured girds in practice. One key ingredient of algebraic multigrid algorithms is a strategy for constructing an effective prolongation operator. Among many questions on constructing a prolongation, an important question is how to evaluate its quality. In this paper, we establish new characterizations (including sufficient condition, necessary condition, and equivalent condition) of the so-called ideal interpolation operator. Our result suggests that, compared with common wisdom, one has more room to construct an ideal interpolation, which can provide new insights for designing algebraic multigrid algorithms. Moreover, we derive a new expression for a class of ideal interpolation operators.