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Collapse and saturation for radial nodal solutions of a Lorentz--Minkowski mean curvature equation

Published 7 Oct 2026 in math.AP and math.CA | (2610.10166v1)

Abstract: We consider the Dirichlet problem for the Lorentz--Minkowski mean curvature operator in a radial setting, −div⁡(∇u1−∣∇u∣<sup>2)</sup>=λu+μg(u)in BR,u=0on ∂BR, -\operatorname{div}\left(\frac{\nabla u}{\sqrt{1-|\nabla u|<sup>2}}\right)</sup> = λu + μg(u) \quad \text{in } \mathcal B_R, \qquad u = 0 \quad \text{on } \partial\mathcal B_R, on a ball of radius RR centered at the origin BR⊂R<sup>N\mathcal B_R \subset \mathbb{R}<sup>N, where λ,μ≥0λ, μ\geq 0 are parameters, and the nonlinearity gg satisfies suitable growth assumptions at zero. We first prove an a priori dichotomy for the asymptotic behaviour, as μ→+∞μ\to +\infty, of solutions with a prescribed number of zeros: either they converge uniformly to $0$, or they converge to a piecewise affine limit function u∞u_\infty, with $|u_\infty&#39;|=1$ a.e., having the same nodal properties. We then show that, when the number of zeros is appropriately prescribed, both alternatives are actually realized. More precisely, building on the multiplicity result in [A. Boscaggin, F. Colasuonno, and R. Ziegele, \emph{Positive and nodal solutions for the Minkowski mean curvature equation: multiplicity and asymptotics}, arXiv:2607.15956 (2026)], we refine the shooting construction therein to obtain a family of small solutions converging to zero and, through a backward shooting argument, a family of large solutions converging to a saturated piecewise affine profile.

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