Let have closure contained in the domain of a harmonic function . Put , so and . The sphere and ball mean value properties for harmonic functions are
To prove the sphere formula, define its average using a fixed unit sphere:
Differentiating under the integral and applying the divergence theorem gives
Continuity gives as , proving the spherical average identity. Integrating that identity over radii with the polar-coordinate weight yields
which proves the ball identity. For , the sphere average is the average of the two endpoints, and the same formulas hold with the counting surface measure.
A local form of the Harnack inequality for harmonic functions is: if is harmonic on a neighbourhood of , then
For , the triangle inequality gives . The ball mean value property for harmonic functions and nonnegativity therefore imply
Taking the supremum over and infimum over proves the inequality, including the case where the infimum is zero. No strict positivity assumption was used.
On a connected domain , the equivalent compact-set statement is that for each nonempty compact there exists with
Here is the passage from balls to this statement. Cover by finitely many small balls whose quadrupled closed balls lie in . Join their centres to a fixed centre by paths in . Each of the finitely many paths has compact image and positive distance from the boundary, so subdividing it gives a finite chain of overlapping small balls whose quadrupled closures also lie in . The local inequality compares any two points in each ball; using a point in each successive overlap propagates comparisons along the chain. The number of comparisons is bounded uniformly over this finite collection of chains and covering balls. Multiplying the factors gives one finite constant for all pairs , proving the compact-set inequality. In particular a nonnegative harmonic function vanishing at one interior point vanishes throughout a connected domain.
Let , which is finite because is bounded, and put . Then is harmonic. Choose points with . For any fixed , choose large enough that . Since is harmonic on all of , the Harnack inequality for harmonic functions on gives
The comparison factor is independent of the growing radius, which is essential. Thus for every and
This proves the Liouville theorem for harmonic functions in every dimension. In fact the argument only needs an entire harmonic function to be bounded below; changing its sign gives the corresponding bounded-above result.
Set . Since , the field is , and everywhere, even when the gradient of is unbounded. The divergence theorem on gives
Letting proves . This is the fact that an entire bounded vector field cannot have nonzero constant divergence; it holds in every dimension.
The equation is now exactly the minimal surface equation for a graph. Apply the supplied Bernstein theorem for minimal graphs in dimensions to conclude
Thus no nonzero constant right-hand side is possible for an entire graph, and in the stated dimensions every possible graph is an affine plane.

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