Symmetry efficiency conjecture

Let GdataGG_{\mathrm{data}} \subseteq G act on MM, and let Γ\Gamma be a continuous boundary whose symmetry group contains GdataG_{\mathrm{data}}. For a target precision ε>0\varepsilon>0, let m(G,ε)m^*(G,\varepsilon) denote the minimum fiber dimension for approximating Γ\Gamma by a GG-equivariant section as in Definition~. Symmetry efficiency conjecture. For every ε>0\varepsilon>0,

m(Gdata,ε)m(G,ε).m^*(G_{\mathrm{data}},\varepsilon)\leq m^*(G,\varepsilon).

This is the remaining main conjecture for the continuous boundary approximation problem: imposing equivariance under the larger structure group should not reduce the fiber dimension required to achieve a given precision. The constraint is essential, since without requiring full GG-equivariance, inclusion of structure groups would give the opposite inequality trivially.

Sources & referencesView supporting material

Primary source

Catalin Vasii, “From Gradient Descent to Harmonic Interpolation: A Geometric Theory of Binary Classification”, arXiv:2607.00988 (2026).

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