Embedded Zassenhaus Expansion to Operator Splitting Schemes: Theory and Application in Fluid Dynamics
Juergen Geiser

TL;DR
This paper introduces an improved operator-splitting method combining Zassenhaus product and iterative schemes for solving linear PDEs, enhancing accuracy and efficiency in fluid dynamics simulations.
Contribution
It develops a higher-order operator-splitting approach using Zassenhaus expansion combined with iterative methods, optimizing computational cost and accuracy in CFD applications.
Findings
Higher order accuracy achieved with Zassenhaus expansion.
Efficient combination of Zassenhaus and iterative schemes.
Application to CFD phase models demonstrates practical benefits.
Abstract
In this paper, we contribute operator-splitting methods improved by the Zassenhaus product for the numerical solution of linear partial differential equations. We address iterative splitting methods, that can be improved by means of the Zassenhaus product formula, which is a sequnential splitting scheme. The coupling of iterative and sequential splitting techniques are discussed and can be combined with respect to their compuational time. While the iterative splitting schemes are cheap to compute, the Zassenhaus product formula is more expensive, based on the commutators but achieves higher order accuracy. Iterative splitting schemes and also Zassenhaus products are applied in physics and physical chemistry are important and are predestinated to their combinations of each benefits. Here we consider phase models in CFD (computational fluid dynamics). We present an underlying analysis for…
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Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Vibration and Dynamic Analysis · Rheology and Fluid Dynamics Studies
