Numerical solutions to linear transfer problems of polarized radiation I. Algebraic formulation and stationary iterative methods

TL;DR

This paper develops an algebraic framework to analyze the convergence of stationary iterative methods for solving linear systems in polarized radiation transfer, providing insights into stability and efficiency for solar and stellar physics applications.

Contribution

It introduces an algebraic formulation that enables explicit analysis of iterative method convergence, highlighting factors affecting stability and convergence rates in polarized radiation transfer problems.

Findings

Spectral radii of iteration matrices determine convergence rates.

Discretization choices significantly impact method stability.

Damping factors can improve convergence stability.

Abstract

Context. The numerical modeling of the generation and transfer of polarized radiation is a key task in solar and stellar physics research and has led to a relevant class of discrete problems that can be reframed as linear systems. In order to solve such problems, it is common to rely on efficient stationary iterative methods. However, the convergence properties of these methods are problem-dependent, and a rigorous investigation of their convergence conditions, when applied to transfer problems of polarized radiation, is still lacking. Aims. After summarizing the most widely employed iterative methods used in the numerical transfer of polarized radiation, this article aims to clarify how the convergence of these methods depends on different design elements, such as the choice of the formal solver, the discretization of the problem, or the use of damping factors. The main goal is to highlight advantages and disadvantages of the different iterative methods in terms of stability and rate of convergence. Methods. We first introduce an algebraic formulation of the radiative transfer problem. This formulation allows us to explicitly assemble the iteration matrices arising from different stationary iterative methods, compute their spectral radii and derive their convergence rates, and test the impact of different discretization settings, problem parameters, and damping factors. Conclusions. The general methodology used in this article, based on a fully algebraic formulation of linear transfer problems of polarized radiation, provides useful estimates of the convergence rates of various iterative schemes. Additionally, it can lead to novel solution approaches as well as analyses for a wider range of settings, including the unpolarized case.