Singularities of the Lagrangian mean curvature flow at the critical Lagrangian phase
Arunima Bhattacharya, Ravi Shankar, Jeremy Wall, Diego Yepez
TL;DR
The paper addresses regularity for the Lagrangian mean curvature flow under a critical Lagrangian phase, establishing gradient and Hessian estimates when $|\Theta| \ge (n-2)\frac{\pi}{2}$. It develops a gradient-estimation framework under structural conditions on $\Theta$, proves Hessian bounds via a Jacobi-type analysis and MVI arguments, and introduces a new $C^{2,\alpha}$ approach by exponentiating the arctangent to a concave operator for $n>2$. It also constructs singular $C^{\alpha}$ viscosity solutions to demonstrate the necessity of the phase-criticality and the gradient-structure assumptions, and discusses limitations in low dimensions along with an alternate rotation-based route for $n=2$. Collectively, these results advance the regularity theory for LMCF and related Lagrangian-type PDEs, clarifying when interior smoothness can be guaranteed near singularities. The methods provide new analytical tools—especially the exponentiation technique for concavity—and broaden the applicability to a broader class of Lagrangian mean curvature type equations.
Abstract
We establish interior estimates for singularities of the Lagrangian mean curvature flow when the Lagrangian phase is critical, i.e., $|Θ|\geq (n-2)\tfracπ{2}$, and extend our results to the broader class of Lagrangian mean curvature type equations. Our gradient estimates require certain structural conditions, and we construct $C^α$ singular viscosity solutions to show that criticality of the phase is necessary, and that these conditions cannot be removed in dimension one. We also introduce a new method for proving $C^{2,α}$ estimates by exponentiating the arctangent operator into a concave one when $|Θ|\geq (n-2)\tfracπ{2}$ and $n>2$.
