For , , a uniform power gain for elliptic solutions bounds the successive norms by factors . Their infinite product is
It is finite because both and converge. Uniform control of the norms on then controls the essential supremum, by comparing with the measure of a set where the function exceeds the proposed bound. A constant independent of left outside the power at every step would instead give a divergent product.
The original PDF assumes at the beginning of this question; the TeX conversion omits that hypothesis. First replace a smooth nonnegative solution by , which solves the same homogeneous divergence-form elliptic equation. For , the chain rule gives the favorable term
in the distributional sense. Thus is a weak subsolution. Testing its subsolution inequality with yields the same Caccioppoli inequality as before. More precisely, testing the equation for with gives
Indeed the main term is at least , and the cross term is bounded by twice times the square roots of this weighted gradient integral and . Let to obtain the stated power energy estimate.
Apply the fixed-domain Sobolev embedding theorem to . The crucial constant stays uniform before taking the power:
where is independent of . This is uniform power gain for elliptic solutions. The exponent is , not the TeX conversion's . The PDF's weaker prefactor outside the power follows from this stronger estimate, but that weaker form alone cannot be iterated infinitely.
For completeness, the estimate also extends to nonnegative locally weak solutions without assuming they are already bounded. For define up to and continue it linearly with slope above ; set . Both have bounded derivatives for fixed . Direct calculation gives and . Test the weak equation with , using smooth approximations to these Sobolev chain rule functions if needed. The resulting weighted energy bound is . If , dominated convergence on the right and the Fatou lemma on the Sobolev left give the boxed gain as , with the same uniform constant. Starting with , this justifies every subsequent iteration step.
Set , and . Then , , and the sharper uniform power gain for elliptic solutions gives
The Moser product on geometric radii converges because
Thus every is at most . Since , its norms are also bounded by . If on a set of positive measure in , these norms are at least , tending to , a contradiction. Hence
This is the required Moser iteration estimate, with a finite constant depending only on and . The weak-test truncation argument in the preceding solution makes the conclusion valid for locally weak solutions with and measurable uniformly elliptic coefficients. No differentiability of or unproved smooth approximation of solutions is required.