First replace by and later let . In the weak subsolution inequality use the admissible truncations approximating . Uniform ellipticity, the coefficient bound, Cauchy-Schwarz inequality, and Young inequality giveand thereforeApply the Sobolev embedding theorem to . The preceding estimate yields, for concentric balls ,Starting with , taking , and choosing radii decreasing to , the product of constants converges because . Letting provesThis exponent-raising argument is Moser iteration.
Use the Weak Harnack inequality: for some and every nonnegative weak supersolution,where and depend only on . A weak solution is both a subsolution and a supersolution. Applying part (i), after rescaling from to , and then the weak Harnack inequality givesThis is the Harnack inequality for uniformly elliptic divergence-form equations.
For a compactly supported variation , differentiation of the area functional at gives the first variationAfter integration by parts, this is the minimal surface equation for a graphFor one has . The equation is invariant under this scaling, so solves it on for every .
Differentiate the equation for with respect to . The derivative is a weak solution ofwhereThe eigenvalue in the direction of is and every orthogonal eigenvalue is . Thus a uniform bound on makes this a uniformly elliptic operator with constants independent of .
Suppose . The coefficient matrices in part (ii) then have uniform ellipticity constants depending only on . Applying the Harnack inequality for uniformly elliptic divergence-form equations to the nonnegative solutions and gives a scale-independent oscillation contractionScaling back,For fixed , iterate this estimate with and use the global bound to obtain . Every partial derivative is therefore constant, so is an affine function. This is a bounded-gradient Bernstein theorem for entire minimal graphs.
Articles by others on the same topic
There are currently no matching articles.