Converse parametrization conjecture for Brunovsky transformations
Converse parametrization conjecture for Brunovsky transformations
Let be a linear system in staircase form, and let be a Brunovsky transformation that maps it to Brunovsky form. Let be an observation matrix satisfying the rank constraints in equation~; such a matrix defines a parametric triplet through the formulas in equation~.
Converse parametrization conjecture. If a Brunovsky transformation transforms the staircase linear system into Brunovsky form, then there exists an observation matrix satisfying the stated rank constraints such that defines by the parametric transformation formulas.
This is the converse of the preceding parametrization theorem and would establish that the proposed observation-matrix construction captures every Brunovsky transformation. The supplied text gives no resolution, so the conjecture remains open.
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Sources & referencesView supporting material
Primary source
Shaohui Yang and Colin N. Jones, “Numerically Reliable Brunovsky Transformations”, arXiv:2512.05910 (2026).
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