Holistically discretise the Swift-Hohenberg equation on a scale larger than its spatial pattern
A. J. Roberts
TL;DR
The paper develops a holistically discretised, amplitude-based model for spatial pattern evolution governed by the Swift-Hohenberg equation, using centre manifold theory at finite grid size $h$ to derive robust discrete dynamics for amplitudes $a_j$ (and $b_j$). It introduces inter-element coupling via a parameter $\gamma$ and computes the evolution equations, e.g. $\dot a_j = r a_j + \frac{4\gamma^2}{h^2}\delta^2 a_j - 3\gamma^2 a_j^2 b_j + \mathcal{O}(\gamma^4 + A^4 + r^2)$ and a corresponding equation for $\dot b_j$, with $\gamma=1$ recovering the discrete Ginzburg-Landau type dynamics. The method explicitly handles boundary conditions by modifying interfacial boundary conditions, producing boundary-layer subgrid structure that enforces prescribed boundary data and captures boundary forcing effects. The approach generalises to higher dimensions and higher-order expansions via computer algebra, offering a principled route to accurate, stable pattern dynamics and boundary influence modelling beyond the specific Swift-Hohenberg system.
Abstract
I introduce an innovative methodology for deriving numerical models of systems of partial differential equations which exhibit the evolution of spatial patterns. The new approach directly produces a discretisation for the evolution of the pattern amplitude, has the rigorous support of centre manifold theory at finite grid size $h$, and naturally incorporates physical boundaries. The results presented here for the Swift-Hohenberg equation suggest the approach will form a powerful method in computationally exploring pattern selection in general. With the aid of computer algebra, the techniques may be applied to a wide variety of equations to derive numerical models that accurately and stably capture the dynamics including the influence of possibly forced boundaries.
