A Discrete Exterior Calculus of Bundle-valued Forms
Theo Braune, Yiying Tong, François Gay-Balmaz, Mathieu Desbrun
TL;DR
This work develops a convergent, structure-preserving discrete exterior calculus for bundle-valued forms by introducing parallel-propagated frame fields (PPFs) and a de Rham/Whitney-like sampling for bundle-valued data. The authors define discrete connections, curvature, and a discrete exterior covariant derivative d^∇, incorporating an alternation (averaging) step to achieve higher-order accuracy. They prove that the discrete operators satisfy naturality, antisymmetry, and both differential and algebraic Bianchi identities, and provide extensive numerical tests confirming convergence under mesh refinement for vector- and endomorphism-valued forms, including 1- and 2-forms. The framework enables faithful discretization of geometric structures central to physics (e.g., Yang–Mills, general relativity) and paves the way for topology-preserving simulations in higher dimensions.
Abstract
The discretization of Cartan's exterior calculus of differential forms has been fruitful in a variety of theoretical and practical endeavors: from computational electromagnetics to the development of Finite-Element Exterior Calculus, the development of structure-preserving numerical tools satisfying exact discrete equivalents to Stokes' theorem or the de Rham complex for the exterior derivative have found numerous applications in computational physics. However, there has been a dearth of effort in establishing a more general discrete calculus, this time for differential forms with values in vector bundles over a combinatorial manifold equipped with a connection. In this work, we propose a discretization of the exterior covariant derivative of bundle-valued differential forms. We demonstrate that our discrete operator mimics its continuous counterpart, satisfies the Bianchi identities on simplicial cells, and contrary to previous attempts at its discretization, ensures numerical convergence to its exact evaluation with mesh refinement under mild assumptions.
