The curvature bound conjecture for adaptive anisotropic total variation eigenfunctions

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Let C⊂R2C\subset\mathbb{R}^2 be a bounded ellipse whose indicator function is an eigenfunction in the sense of the adaptive anisotropic total variation eigenfunction equation, and let κ(x)\kappa(x) denote the curvature at x∈∂∗Cx\in\partial^*C. Here P(C)P(C) and ∣C∣|C| denote the perimeter and area of CC, respectively, and λCA\lambda_C^A is the corresponding adaptive anisotropic total variation eigenvalue. Curvature bound conjecture.

max⁡∀x∈∂∗Cκ(x)≤λCAa4=1a3P(C)∣C∣.\max_{\forall x\in\partial^*C}\kappa(x)\leq\frac{\lambda_C^A}{a^4}=\frac{1}{a^3}\frac{P(C)}{|C|}.

The conjecture records the numerically observed a−3a^{-3} dependence of the critical bound for ellipses, relating the maximal curvature to the adaptive anisotropic total variation eigenvalue and the perimeter-to-area ratio. The supplied text gives numerical evidence but no proof or resolution, and explicitly notes that decoupling curvature from convexity and other shape structures is difficult.

References

Primary source

Shai Biton and Guy Gilboa, “Adaptive Anisotropic Total Variation - A Nonlinear Spectral Analysis”, arXiv:1811.11281 (2018).

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