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Research PaperResearchia:202603.13029

Global and local helicity-preservation in the finite element discretisation of magnetic relaxation

Patrick E. Farrell

Abstract

Magnetic relaxation drives plasma toward lower-energy equilibria under helicity constraints. In ideal magnetohydrodynamics (MHD), helicity is locally conserved, while resistive theories such as Taylor relaxation preserve only global helicity. This distinction has important implications for structure-preserving numerical methods. We compare three finite element formulations: an unconstrained scheme that does not conserve helicity, a mixed method based on finite element exterior calculus that pres...

Submitted: March 13, 2026Subjects: Mathematics; Mathematics

Description / Details

Magnetic relaxation drives plasma toward lower-energy equilibria under helicity constraints. In ideal magnetohydrodynamics (MHD), helicity is locally conserved, while resistive theories such as Taylor relaxation preserve only global helicity. This distinction has important implications for structure-preserving numerical methods. We compare three finite element formulations: an unconstrained scheme that does not conserve helicity, a mixed method based on finite element exterior calculus that preserves all local helicities, and a Lagrange multiplier approach that enforces only global helicity conservation. Numerical experiments on braided and knotted magnetic fields show that local helicity preservation prevents spurious reconnection and maintains nontrivial topology in ideal MHD or magneto-friction, whereas enforcing only global helicity allows further relaxation through local reconnection. Numerical results on magnetic knots and braids are provided. These results clarify how different levels of discrete helicity constraints influence magnetic relaxation and equilibrium structure in numerical computation.


Source: arXiv:2603.12134v1 - http://arxiv.org/abs/2603.12134v1 PDF: https://arxiv.org/pdf/2603.12134v1 Original Link: http://arxiv.org/abs/2603.12134v1

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Date:
Mar 13, 2026
Topic:
Mathematics
Area:
Mathematics
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