An F-modulated stability framework for multistep methods

11/09/2021
by   Dong Li, et al.
0

We introduce a new 𝐅-modulated energy stability framework for general linear multistep methods. We showcase the theory for the two dimensional molecular beam epitaxy model with no slope selection which is a prototypical gradient flow with Lipschitz-bounded nonlinearity. We employ a class of representative BDFk, 2≤ k ≤ 5 discretization schemes with explicit k^th-order extrapolation of the nonlinear term. We prove the uniform-in-time boundedness of high Sobolev norms of the numerical solution. The upper bound is unconditional, i.e. regardless of the size of the time step. We develop a new algebraic theory and calibrate nearly optimal and explicit maximal time step constraints which guarantee monotonic 𝐅-modulated energy dissipation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/30/2021

On a sinc-type MBE model

We introduce a new sinc-type molecular beam epitaxy model which is deriv...
research
06/15/2021

The BDF3/EP3 scheme for MBE with no slope selection is stable

We consider the classical molecular beam epitaxy (MBE) model with logari...
research
06/12/2021

On a parabolic sine-Gordon model

We consider a parabolic sine-Gordon model with periodic boundary conditi...
research
11/11/2021

Why large time-stepping methods for the Cahn-Hilliard equation is stable

We consider the Cahn-Hilliard equation with standard double-well potenti...
research
02/22/2021

Energy stable arbitrary order ETD-MS method for gradient flows with Lipschitz nonlinearity

We present a methodology to construct efficient high-order in time accur...
research
08/11/2021

Energy dissipation of Strang splitting for Allen–Cahn

We consider a class of second-order Strang splitting methods for Allen-C...
research
08/18/2021

Observable Error Bounds of the Time-splitting Scheme for Quantum-Classical Molecular Dynamics

Quantum-classical molecular dynamics, as a partial classical limit of th...

Please sign up or login with your details

Forgot password? Click here to reset