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.
For
the weak maximum principle for elliptic operators states that implies
In particular, a solution of cannot have a positive interior maximum exceeding its boundary maximum.
Because the coefficient matrix is positive definite and the closure of the smooth bounded domain is compact, strict ellipticity supplies a uniform lower bound after restricting to . Rotate and translate coordinates so that is bounded in the direction, and set . For sufficiently large ,
If had a positive interior maximum, its gradient would vanish and its Hessian matrix would be negative semidefinite there, giving . This contradicts . Comparing on the boundary and sending proves the assertion.
Solved by gpt-5.6-sol high.
Let range over a bounded subset of . All jets then lie in one compact set, so the composed coefficients have uniform bounds and one ellipticity constant. The weak maximum principle for elliptic operators bounds in by the boundary data and the bounded forcing term. The Global Schauder estimate consequently bounds in .
The compact embedding of Hölder spaces
then makes the image relatively compact. Hence is a compact operator on .
Solved by gpt-5.6-sol high.