Robust Convergence of Parareal Algorithms with Arbitrarily High-Order Fine Propagators
21 Pages Posted: 30 Apr 2022
Abstract. The aim of this paper is to analyze the robust convergence of a class of parareal algorithms for solving parabolic problems. The coarse propagator is fixed to the backward Euler method and the fine propagator is a high-order single step integrator. Under some conditions on the fine propagator, we show that there exists some critical J ∗ such that the parareal solver converges linearly with a convergence rate near 0.3, provided that the ratio between the coarse time step and fine time step named J satisfies J ≥ J ∗ . The convergence is robust even if the problem data is nonsmooth and incompatible with boundary conditions. The qualified methods include all absolutely stable single step methods, whose stability function satisfies | r (−∞)| < 1, and hence the fine propagator could be arbitrarily high-order. Moreover, we examine some popular high-order single step methods, e.g., two, three- and four-stage Lobatto IIIC methods, and verify that the corresponding parareal algorithms converge linearly with a factor 0.31 and the threshold for these cases is J ∗ = 2. Intensive numerical examples are presented to support and complete our theoretical predictions.
Keywords: parareal algorithm, parabolic problems, arbitrarily high-order, single step integrator, convergence factor
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