Some convergence analysis for multicontinuum homogenization

TL;DR

This paper analyzes a multicontinuum homogenization method, addressing challenges posed by constraint cell problems and high contrast, and introduces a downscaling operator for better approximation of microscopic solutions.

Contribution

It provides a novel error analysis and constructs a downscaling operator for multicontinuum homogenization using CEM-GMsFEM techniques.

Findings

Error estimates for the homogenized equations

Construction of a CEM-downscaling operator

Analysis of high contrast effects in homogenization

Abstract

In this paper, we provide an analysis of a recently proposed multicontinuum homogenization technique. The analysis differs from those used in classical homogenization methods for several reasons. First, the cell problems in multicontinuum homogenization use constraint problems and can not be directly substituted into the differential operator. Secondly, the problem contains high contrast that remains in the homogenized problem. The homogenized problem averages the microstructure while containing the small parameter. In this analysis, we first based on our previous techniques, CEM-GMsFEM, to define a CEM-downscaling operator that maps the multicontinuum quantities to an approximated microscopic solution. Following the regularity assumption of the multicontinuum quantities, we construct a downscaling operator and the homogenized multicontinuum equations using the information of linear approximation of the multicontinuum quantities. The error analysis is given by the residual estimate of the homogenized equations and the well-posedness assumption of the homogenized equations.