Variational Principles for the Helmholtz equation: application to Finite Element and Neural Network approximations

TL;DR

This paper develops variational principles for the Helmholtz equation with impedance boundary conditions, enabling new finite element and neural network methods for high-frequency wave problems.

Contribution

It introduces energy functionals with physical meaning for the Helmholtz equation and constructs coercive augmentations to facilitate numerical approximations.

Findings

Derived time-harmonic energy functionals from Hamilton's principle.

Constructed coercive functionals preserving physical interpretation.

Enabled finite element and neural network methods for high wavenumber regimes.

Abstract

In this paper, we investigate whether Variational Principles can be associated with the Helmholtz equation subject to impedance (absorbing) boundary conditions. This model has been extensively studied in the literature from both mathematical and computational perspectives. It is classical with wide applications, yet accurate approximation at high wavenumbers remains challenging. We address the question of whether there exist energy functionals with a clear physical interpretation whose stationary points, the zeros of their first variation, correspond to solutions of the Helmholtz problem. Starting from Hamilton's principle for the wave equation, we derive time-harmonic energies. The resulting functionals are generally indefinite. As a next step, we construct strongly coercive augmentations of these indefinite functionals that preserve their physical interpretation. Finally, we show how these variational principles lead to practical numerical methods based on finite element spaces and neural network architectures.