On the Ideal Interpolation Operator in Algebraic Multigrid Methods

TL;DR

This paper characterizes the ideal interpolation operator in algebraic multigrid methods, providing new insights and expressions that can improve the design of these algorithms for solving discretized PDEs.

Contribution

It establishes new characterizations of the ideal interpolation operator, revealing more flexibility in its construction for algebraic multigrid algorithms.

Findings

New characterizations including sufficient, necessary, and equivalent conditions.

Derived a new expression for a class of ideal interpolation operators.

Provides insights for designing more effective algebraic multigrid methods.

Abstract

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.