Ellipticity of the minimal surface flux Created 2026-10-06 Updated 2026-10-14
The flux of the minimal surface equation for a graph has a positive definite symmetric matrix derivative. Its eigenvalues are in the direction of and orthogonally; at every eigenvalue is one. On it satisfies
Thus an averaged linearization of a nonlinear divergence-form equation is uniformly elliptic where the relevant gradients are bounded. Pointwise positivity alone does not supply a uniform bound on an unbounded gradient range.
No additional hypothesis on is needed here for scalar interior regularity. In the elliptic sense of uniform convexity, the assumptions already give constants with for all . The following argument gives interior gradient regularity for uniformly convex autonomous energies.
The first variation at the minimizer exists because , and its weak Euler-Lagrange equation is
For a coordinate difference quotient , subtract the translated equation and the original equation. The averaged linearization of a nonlinear divergence-form equation gives
These measurable symmetric matrices satisfy independently of . The Caccioppoli inequality and the standard bound bound on every smaller interior set. Quoting the Sobolev characterization by bounded difference quotients yields .
Now is globally Lipschitz continuous, so the Sobolev chain rule and commutation of distributional derivatives allow differentiation of the weak equation. Each satisfies
The De Giorgi-Nash-Moser theorem states that weak solutions of this scalar divergence-form equation with bounded measurable uniformly elliptic coefficients are locally Hölder continuous. It gives a common depending only on and the ellipticity ratio , with for every . A Sobolev function whose weak gradient is continuous has a representative, as follows by local mollification and integration of its gradient. Hence
The higher-regularity conclusion comes from differentiating an autonomous scalar equation; it does not rely on boundary regularity or a higher derivative such as .
Write the minimal surface equation for a graph as in its weak formulation, where . For negative increments use the same difference quotient convention, so
For , the function is an admissible test function in . Commuting the first partial derivative with translation, then applying discrete integration by parts, gives
The fundamental theorem of calculus along a line segment gives the averaged linearization of a nonlinear divergence-form equation
Thus the backward difference quotient solves a linear equation in divergence form:
To verify the ellipticity of the minimal surface flux, compute
and hence
The eigenvalue parallel to is ; every orthogonal eigenvalue is . The same lower and upper bounds pass to the averaged symmetric matrix whenever both endpoint gradients have norm at most :
The printed hypothesis supplies such an on each relatively compact subset, uniformly for sufficiently small . It therefore establishes a locally uniformly elliptic operator. A single lower bound on all of additionally requires bounded gradients there and at the shifted points; this is automatic for bounded and fixed , but is not supplied on an arbitrary open set.