For and a bounded smooth domain, a Dirichlet Laplacian eigenfunction with eigenvalue satisfies the displayed estimate. A signed power test for a Laplacian eigenfunction and the zero-boundary Sobolev inequality give a Moser iteration with exponents . The geometric series gives the exact power of , while controls the remaining constant. The constant depends only on dimension, because the zero-boundary Sobolev inequality follows by extension by zero to the whole space.
A nonnegative weak solution of a uniformly elliptic divergence-form equation satisfies
whenever a fixed larger concentric ball lies in the domain. Combine the subsolution bound from Moser iteration with the Weak Harnack inequality for supersolutions.
Liouville theorem for integrable nonnegative elliptic subsolutions Created 2026-10-05 Updated 2026-10-06
For , a nonnegative entire weak subsolution of a bounded measurable uniformly elliptic divergence-form equation that belongs to for some is zero almost everywhere. Rescaling the local Moser iteration estimate gives . Let .
For a uniformly elliptic divergence-form elliptic operator with lower-order coefficients in the supercritical Lebesgue spaces, truncation tests and Moser iteration bound the positive part of a weak subsolution on an interior ball by its Lp norm on a larger ball and the forcing norms. In particular, every weak subsolution of the homogeneous equation is locally bounded above. This is the preliminary estimate needed when a strong maximum principle is phrased using essential suprema.
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.
Put , where . Since , part (ii), followed by a -th root, gives the Moser iteration step
After steps,
The geometric series and its differentiated form give
In particular the exact convergent product is
The printed hint's equality to a single power of is not correct in general; its claimed finiteness is correct and the displayed expression supplies the correction.
On a finite-measure domain, Lp norms converge to the supremum norm for a bounded continuous function. Indeed, the upper bound is ; for every , the set has positive measure, giving . Let in the iteration and use part (i), which gives . The Dirichlet eigenfunction supremum estimate is
The eigenvalue exponent is exactly . The constant depends only on : the supplied zero-boundary Sobolev inequality has a dimension-only constant, and every product factor above depends only on .
For the divergence-form elliptic operator use the weak subsolution convention for nonnegative test functions. Set and test with , where . The Sobolev chain rule makes this test admissible; boundedness and the positive regularization control the derivative of its power. Ellipticity and the Cauchy-Schwarz inequality give, with and ,
Division when , and the trivial case , establish the power Caccioppoli inequality. Letting gives
For this limit uses the Fatou lemma; the gradient of a Sobolev function vanishes on a level set, so the weighted integrand is assigned zero on . The same regularization justifies differentiating in .
The PDF bounds individual entries by . Then : dimensional factors are included in the ellipticity constants when the first estimate is written as . With literal entrywise bounds, the explicit valid constant displayed here is . If bounds the operator norm instead, it is . This distinction does not alter any later conclusion, whose constants explicitly depend on .
For , put . Apply the Sobolev inequality to and use
For , , so the resulting constant is uniform in . Taking a cutoff equal to one on , supported in , with , yields
At a compactly supported cutoff can still be chosen with this bound by leaving an outer margin; alternatively pass to the limit from smaller radii.
For Moser iteration, set and . Repeated use of the preceding estimate bounds the successive norms by
This product is finite because
As the exponents tend to infinity, their norms on the Euclidean ball of radius tend to its essential supremum. Therefore
The power is independent of the exponents of Hölder continuity in earlier questions.
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 give
and therefore
Apply 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 proves
This exponent-raising argument is Moser iteration.
For a nonnegative weak solution of a homogeneous divergence-form elliptic equation on , , with symmetric measurable , set and . There is independent of such that
Test the equation with a cutoff times , first regularized or truncated, to get . Apply a fixed-domain Sobolev embedding theorem to and take the power. Keeping the constant inside that power is crucial for Moser iteration.