English

On Properties of Adjoint Systems for Evolutionary PDEs

Optimization and Control 2025-04-10 v2 Numerical Analysis Numerical Analysis

Abstract

We investigate the geometric structure of adjoint systems associated with evolutionary partial differential equations at the fully continuous, semi-discrete, and fully discrete levels and the relations between these levels. We show that the adjoint system associated with an evolutionary partial differential equation has an infinite-dimensional Hamiltonian structure, which is useful for connecting the fully continuous, semi-discrete, and fully discrete levels. We subsequently address the question of discretize-then-optimize versus optimize-then-discrete for both semi-discretization and time integration, by characterizing the commutativity of discretize-then-optimize methods versus optimize-then-discretize methods uniquely in terms of an adjoint-variational quadratic conservation law. For Galerkin semi-discretizations and one-step time integration methods in particular, we explicitly construct these commuting methods by using structure-preserving discretization techniques.

Keywords

Cite

@article{arxiv.2404.02320,
  title  = {On Properties of Adjoint Systems for Evolutionary PDEs},
  author = {Brian K. Tran and Ben S. Southworth and Melvin Leok},
  journal= {arXiv preprint arXiv:2404.02320},
  year   = {2025}
}

Comments

To appear: Journal of Nonlinear Science

R2 v1 2026-06-28T15:42:23.675Z