Exact optimal values of step-size coefficients for boundedness of linear multistep methods
Lajos L\'oczi

TL;DR
This paper derives exact algebraic values for the maximum step-size coefficients ensuring boundedness in linear multistep methods, improving understanding of stability properties for numerical solutions of differential equations.
Contribution
It introduces rigorous methods to verify sign conditions for step-size coefficients and determines exact optimal values for several multistep method families.
Findings
Exact algebraic values of SCBs for BDF methods (1-6 steps)
Exact algebraic values of SCBs for Adams–Bashforth methods (1-3 steps)
Confirmation of existence or non-existence of positive SCBs in studied families
Abstract
Linear multistep methods (LMMs) applied to approximate the solution of initial value problems---typically arising from method-of-lines semidiscretizations of partial differential equations---are often required to have certain monotonicity or boundedness properties (e.g. strong-stability-preserving, total-variation-diminishing or total-variation-boundedness properties). These properties can be guaranteed by imposing step-size restrictions on the methods. To qualitatively describe the step-size restrictions, one introduces the concept of step-size coefficient for monotonicity (SCM, also referred to as the strong-stability-preserving (SSP) coefficient) or its generalization, the step-size coefficient for boundedness (SCB). A LMM with larger SCM or SCB is more efficient, and the computation of the maximum SCM for a particular LMM is now straightforward. However, it is more challenging to…
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