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 satisfiesThus 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.
Past exam of the mathematics course of the University of Cambridge 2009 iii Paper 12 6 iv Solution Created 2026-10-03 Updated 2026-10-14
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 isFor a coordinate difference quotient , subtract the translated equation and the original equation. The averaged linearization of a nonlinear divergence-form equation givesThese 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 satisfiesThe 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. HenceThe higher-regularity conclusion comes from differentiating an autonomous scalar equation; it does not rely on boundary regularity or a higher derivative such as .
Past exam of the mathematics course of the University of Cambridge 2016 iii Paper 107 4 i Solution Created 2026-10-03 Updated 2026-10-06
Write the minimal surface equation for a graph as in its weak formulation, where . For negative increments use the same difference quotient convention, soFor , the function is an admissible test function in . Commuting the first partial derivative with translation, then applying discrete integration by parts, givesThe fundamental theorem of calculus along a line segment gives the averaged linearization of a nonlinear divergence-form equationThus the backward difference quotient solves a linear equation in divergence form:To verify the ellipticity of the minimal surface flux, computeand henceThe 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.