Factorized schemes of second-order accuracy for numerical solving unsteady problems
P.N. Vabishchevich

TL;DR
This paper develops and analyzes second-order accurate numerical schemes for unsteady problems, focusing on stability, spectral properties, and computational efficiency, including modifications with first-degree operator polynomials.
Contribution
It introduces factorized, unconditionally stable schemes with spectral mimetic stability, including a two-stage predictor-corrector method using operator factorization.
Findings
The implicit Padé-based scheme is unconditionally stable and spectrally stable.
Modified schemes with first-degree operator polynomials are computationally advantageous.
Numerical experiments confirm the theoretical stability and accuracy of the proposed methods.
Abstract
Schemes with the second-order approximation in time are considered for numerical solving the Cauchy problem for an evolutionary equation of first order with a self-adjoint operator. The implicit two-level scheme based on the Pad\'{e} polynomial approximation is unconditionally stable. It demonstrates good asymptotic properties in time and provides an adequate evolution in time for individual harmonics of the solution (has spectral mimetic stability). In fact, the only drawback of this scheme is the necessity to solve an equation with an operator polynomial of second degree at each time level. We consider modifications of these schemes, which are based on solving equations with operator polynomials of first degree. Such computational implementations occur, for example, if we apply the fully implicit two-level scheme (the backward Euler scheme). A three-level modification of the SM-stable…
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Taxonomy
TopicsNumerical methods for differential equations · Advanced Numerical Methods in Computational Mathematics · Matrix Theory and Algorithms
