Enumerative combinatorics
The algebraic eigenvalue problem
The algebraic eigenvalue problem
Computing Puiseux-series solutions to determinantal equations via combinatorial relaxation
SIAM Journal on Computing
Nearly Optimal Algorithms For Canonical Matrix Forms
SIAM Journal on Computing
SIAM Journal on Matrix Analysis and Applications
A reduction algorithm for matrices depending on a parameter
ISSAC '99 Proceedings of the 1999 international symposium on Symbolic and algebraic computation
SIAM Journal on Matrix Analysis and Applications
An algorithm computing the regular formal solutions of a system of linear differential equations
Journal of Symbolic Computation - Special issue on differential algebra and differential equations
An algorithm for the eigenvalue perturbation problem: reduction of a κ-matrix to a Lidskii matrix
ISSAC '00 Proceedings of the 2000 international symposium on Symbolic and algebraic computation
Efficient Collision Detection Using Bounding Volume Hierarchies of k-DOPs
IEEE Transactions on Visualization and Computer Graphics
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We show that any matrix perturbation of an n × n nilpotent complex matrix is similar to a matrix perturbation whose leading coefficient has minimal Jordan structure. Additionally, we derive the property that, for matrix perturbations with minimal leading Jordan structure, the sufficient conditions of Lidskii's perturbation theorem for eigenvalues are necessary too. It is further shown how minimality can be obtained by computing a similarity transform whose entries are polynomials of degree at most n. This relies on an extension of both Lidskii's theorem and its Newton diagram-based interpretation.