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Minimality of the Tetrakis generating set for the HTMC–Hölder ball

Determine whether the set of Tetrakis functions introduced in Section 4 provides the smallest (in an appropriate convex-hull sense) generating family for the HTMC unit ball intersected with the Hölder ball, or otherwise characterize a minimal such set.

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Background

The authors construct Tetrakis functions as a countable family that approximates the extreme structure of the HTMC ball and show inclusion relations suggesting these functions are near-vertices. However, they do not establish minimality of this family as a generating set. Proving minimality (or identifying a smaller set) would clarify the convex geometry of the HTMC ball and could enable more efficient convex optimization schemes (e.g., Frank–Wolfe) over a reduced dictionary.

References

Also we did not prove that the Tetrakis functions are the smallest such set, only that it is countable and therefore 'much smaller' than the full ball.

Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets (2511.20888 - Jacot, 25 Nov 2025) in Subsection: Vertices of the HTMC ball: Tetrakis functions (end of section)