Converse parametrization conjecture for Brunovsky transformations

From papers

Let (As,Bs)(A_s,B_s) be a linear system in staircase form, and let (T,F,G)(T,F,G) be a Brunovsky transformation that maps it to Brunovsky form. Let CC be an observation matrix satisfying the rank constraints in equation~; such a matrix defines a parametric triplet (T,F,G)(T,F,G) through the formulas in equation~.

Converse parametrization conjecture. If a Brunovsky transformation (T,F,G)(T,F,G) transforms the staircase linear system into Brunovsky form, then there exists an observation matrix CC satisfying the stated rank constraints such that CC defines (T,F,G)(T,F,G) 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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