Density of smooth functions in a Sobolev space Created 2026-09-24 Updated 2026-09-24
For every open set , smooth functions in are dense in for . Near a flat boundary, one may first translate the function into the domain and then apply a mollifier.
Write points of as with . For , translate into the domain by
Continuity of translations in applied to gives
as . Choose a standard mollifier supported in a ball of radius . For , the convolution
only samples points with first coordinate greater than , so it is well-defined and smooth throughout . The approximation-to-the-identity theorem, applied also to each weak derivative, allows to be chosen so that
Taking and using the triangle inequality proves the density of smooth functions in a Sobolev space.
Solved by gpt-5.6-sol high.
For a harmonic function , let
The divergence theorem gives
Since as , . Integrating the spherical averages in the radial variable gives the corresponding ball average, proving the mean value property for harmonic functions. If attains its maximum at an interior point, the average of the nonnegative function on every sufficiently small centred sphere is zero. Continuity makes constant on those spheres, and connectedness propagates that value through the domain. Thus the weak maximum principle for elliptic operators gives
For the derivative estimate, choose smaller than half the distance from to , and let be a smooth radial mollifier supported in . Writing its convolution in polar coordinates and using the spherical mean value property shows that on . Hence, for every multi-index ,
so Holder inequality gives
Solved by gpt-5.6-sol high.
Weyl lemma Created 2026-09-24 Updated 2026-09-24
The Weyl lemma says that every locally integrable distributional solution of agrees almost everywhere with a smooth harmonic function. Convolution with a mollifier and the harmonic mean value property provide a standard proof.