Strong ironing property for rolling-ball optimizers

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Let f,g:Rd→Rf,g:\mathbb{R}^d\to\mathbb{R} be two continuous functions, and let Γ,Γ′\Gamma,\Gamma^\prime be their respective graphs. Write dH⁡(Γ′,Γ)\operatorname{d_{\mathrm{H}}}(\Gamma^\prime,\Gamma) for the Hausdorff distance between the graphs, and let S⁡(Γ,ρ)\operatorname{S}(\Gamma,\rho) denote the rolling-ball optimizer associated with Γ\Gamma at scale ρ\rho. Two spaces are ε\varepsilon-almost isometric if there is a map between them whose distance distortion is at most ε\varepsilon. Strong ironing property. If

dH⁡(Γ′,Γ)<+∞,\operatorname{d_{\mathrm{H}}}(\Gamma^\prime,\Gamma)<+\infty,

then S⁡(Γ,ρ)\operatorname{S}(\Gamma,\rho) and S⁡(Γ′,ρ)\operatorname{S}(\Gamma^\prime,\rho) are ερ\varepsilon_\rho-almost isometric, with ερ→0\varepsilon_\rho\to0 as ρ→+∞\rho\to+\infty. The claim would extend the observed ironing phenomenon from affine and other controlled perturbations to arbitrary continuous functions; the supplied context states that it remains unproved and is deferred to future work.

References

Primary source

Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Hakim Hacid, Imran Razzak and Sunil Aryal, “Rolling Ball Optimizer: Learning by ironing out loss landscape wrinkles”, arXiv:2505.19527 (2025).

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