A minimizing sequence in is uniformly bounded and equi-Lipschitz. The Arzela-Ascoli theorem gives a uniformly convergent subsequence with limit having the same boundary data and Lipschitz constant at most . Its gradients have a weak-star convergent subsequence in , with limit . Convexity of makes the integral functional weak-star lower semicontinuous, soThus attains the infimum by the direct method in the calculus of variations.
Let and take . For small , has Lipschitz constant at most . Constrained minimality and convexity giveCancellation gives , so is an unconstrained minimizer.
Let . For , the Taylor theorem with Lagrange remainder and giveThereforeare affine upper and lower barriers, agree with at , and have Lipschitz constant at most . Thus has the bounded slope condition.
For , let be the affine barriers from the bounded slope condition. Their constant gradients satisfy the Euler-Lagrange equation, so they minimize the autonomous convex functional for their own boundary values. The comparison principle givesSince both barriers equal at and are -Lipschitz,for and . The supplied boundary-to-interior criterion now gives .
Part c supplies a bounded slope condition constant . Choose . Parts a and d give a constrained minimizer with , and part b makes it a minimizer over all of .
For , the Euler-Lagrange equation is the minimal surface equation for a graphThe Lipschitz bound confines to a compact set on which is uniformly positive definite, so the equation is uniformly elliptic. Interior regularity gives first, and repeated Schauder estimates then give smoothness in the interior.
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