Doubling Argument of the Hessian Estimate for the Special Lagrangian Equation on General Phases with Constraints
Cheuk Yan Fung
TL;DR
This work develops a doubling-inequality framework to obtain Hessian estimates for the special Lagrangian equation under general phase constraints, avoiding the Michael-Simon mean value inequality. It first proves an Alexandrov-type theorem via compactness and a vector-valued Radon measure for the weak Hessian, then applies Savin's small perturbation theorem together with Jacobi inequalities to bootstrap regularity. The main result is a pointwise Hessian bound $|D^2u(0)|$ depending only on $n$, $\|u\|_{C^{0,1}}$, and the phase $\theta$, valid under the stated constraints, with a refined version in dimension three under a $\sigma_2$-type condition. Collectively, the paper extends Hessian-estimate techniques to general phases with constraints and strengthens interior regularity results without relying on the Michael-Simon inequality, building on and generalizing prior work by Zhou, Shankar, and Yuan.
Abstract
In this paper, we establish a doubling argument to obtain Hessian estimates for the special Lagrangian equation under general phase constraints. In particular, our approach does not rely on the Michael-Simon mean value inequality. As an intermediate step, we also establish Alexandrov-type theorems, which may be of independent interest.
