Matrix bordering structure of the Faddeev-Jackiw algorithm: Schur complement regularization and symbolic automation
E. Chan-López, A. Martín-Ruiz, Jaime Manuel Cabrera, Jorge Mauricio Paulin Fuentes
TL;DR
The paper proves that the iterative Faddeev-Jackiw reduction for singular Lagrangians is a geometrically constrained instance of the Matrix Bordering Technique, with the extended bordered matrix $f^{(m)}$ encoding the growing constraint structure and the Schur complement aligning with the Poisson-bracket matrix $\mathcal{C}_{\alpha\beta} = \{\Omega_\alpha, \Omega_\beta\}$. Termination of the FJ procedure occurs precisely when the constraint algebra is nondegenerate (second-class), and this insight provides a rigorous foundation for symbolically automating constrained dynamics via a MBT-like bordering process. The authors implement a fully symbolic Mathematica package, BorderedFJReduction, that preserves parametric dependencies and delivers a structured, queryable representation of the emergent symplectic manifold $\mathcal{M}^*$, validated on representative mechanical systems including noncanonical kinetics, coupled masses and rods, and ring-ring springs. The approach enables automatic detection of gauge symmetries, preserves bifurcation-relevant parameters, and offers a modular, declarative interface that separates model definition from reduction rules, paving the way toward extensions to field theories and tensor calculus. Overall, the work provides a rigorous algebraic and computational framework for automated, structure-preserving constrained dynamics with potential applications in gauge theories and beyond.
Abstract
We show that the iterative Faddeev-Jackiw (FJ) reduction for singular Lagrangian systems constitutes a geometrically constrained instance of the Matrix Bordering Technique (MBT). For a first-order Lagrangian with singular pre-symplectic form, each iteration of the Barcelos-Neto-Wotzasek algorithm produces an extended symplectic matrix of canonical bordered form, \begin{eqnarray} f^{(m)} = \left( \begin{matrix} f^{(0)} & B \\ -B^{\mathsf{T}} & 0 \end{matrix} \right) \end{eqnarray} where the bordering block $B$ is determined by the gradients of the consistency constraints. We prove that the nondegeneracy of the extended matrix is governed by the corresponding Schur complement, which is algebraically isomorphic to the Poisson bracket matrix of constraints. As a consequence, the Faddeev-Jackiw algorithm terminates if and only if the constraint algebra is nondegenerate, i.e., when the constraints form a second-class system. This algebraic characterization provides a rigorous foundation for automating the Faddeev-Jackiw procedure symbolically. We present a fully symbolic implementation in the Wolfram Language, and validate the approach on representative mechanical systems with nontrivial constraint structure. The resulting rule-based engine preserves parametric dependencies throughout the reduction, enabling reliable analysis of degeneracy, structural stability (when no bifurcations occur), and possible bifurcation scenarios as critical parameters are varied.
