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arXiv · 2608.19818

Eigensolvers for polynomial roots and tensor decomposition

Enrica Barrilli·Bernard Mourrain
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Abstract

Computing eigenvalues and eigenvectors is at the heart of the solution of many non-linear problems. For instance, finding the roots of polynomial systems reduces to computing joint eigenvectors of operators of multiplication. Similarly, tensor decomposition can be performed via the joint diagonalization of submatrices of the Catalecticant of the tensor. We describe and illustrate symbolic-numeric methods for computing the solutions of these algebraic problems from the computation of joint eigenvectors of commuting operators, and for analysing their multiplicity structure, as well as their implementation in the package AlgebraicSolvers.jl.

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Enrica Barrilli, Bernard Mourrain. 2026-08-20. Eigensolvers for polynomial roots and tensor decomposition. https://arxiv.org/abs/2608.19818

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