For the spherical average , rescaling the sphere and applying the divergence theorem givesBy continuity, as . Integrating these spherical averages in radius proves the mean value property for harmonic functions:For the strong maximum principle for harmonic functions, suppose an interior point attains the maximum on a connected domain. The continuous nonnegative function has zero average on each sufficiently small ball around that point, so it vanishes there. The maximum set is therefore open as well as closed, and connectedness makes it the entire domain. Apply the same argument to for a minimum.
For , the open balls satisfy . Nonnegativity and the mean value property for harmonic functions giveTaking the supremum over and the infimum over proves the Harnack inequality for harmonic functions:This includes a zero infimum, which forces on the smaller ball.
Shift by a constant and, if necessary, change sign to obtain an entire nonnegative harmonic function . The Harnack inequality for harmonic functions on arbitrarily large balls centred at gives for every . Thus is globally bounded. The interior derivative estimate for a harmonic function now gives on balls of arbitrarily large radius . Letting proves , hence is constant. This proves the one-sided harmonic Liouville theorem in every dimension.
The conclusion holds in dimension two. Shift and change sign to obtain a nonnegative harmonic function . Its circular mean satisfiesHere the angular second derivative in the polar-coordinate Laplacian integrates to zero. Thus ; nonnegativity for every forces . For , the mean value property for harmonic functions and nonnegativity giveThe removable singularity for a bounded harmonic function fills in the origin, and the harmonic Liouville theorem makes the extension constant.
The conclusion fails for : is positive and nonconstant, and its radial Laplacian vanishes away from zero. For , is a nonconstant function bounded below whose second derivative vanishes on both components of the punctured line.
Assume uniform ellipticity with , bounded coefficients, and . The weak maximum principle for elliptic operators isWhen , zero can be omitted. The sign restriction is necessary, as shown by the failure of the weak maximum principle with a positive zeroth-order coefficient.
Let and , so and on the boundary. For sufficiently large , satisfiesIf is positive somewhere, retains a positive interior maximum above all its boundary values for small . At that point its gradient is zero and its Hessian matrix is negative semidefinite; ellipticity and give , contradicting its strict positivity. This exponential perturbation proof of the weak maximum principle with drift also works with of either sign when .
Integration by parts gives the minimal surface equation for a graph in nondivergence form:Its eigenvalues are between and one. On each relatively compact subdomain, is bounded, so it is a uniformly elliptic operator. Since , its coefficient functions are locally Lipschitz. The interior Schauder estimate gives regularity for every ; differentiating and repeatedly applying regularity estimates gives .
Differentiate in direction . Each satisfies , withFor this yieldsIf , the principal coefficients are uniformly elliptic globally and the drift is bounded. The weak maximum principle for elliptic operators bounds by its boundary maximum. Boundary values are limits of interior values by continuity, proving the gradient maximum principle for a minimal graph:
The cone condition implies , so . The gradient is homogeneous of degree zero, and attains its global maximum on the compact unit sphere. For the punctured space is connected. Part (b) gives for a locally uniformly elliptic operator with no zeroth-order term. The strong maximum principle for elliptic operators makes constant. HencePositive definiteness gives . Thus , and degree-one homogeneity forces : . This proves that a minimal graphical cone is a plane. Strictly, the graph restricted to is the plane with its origin omitted; its closure is the full plane through the origin.
Assume , bounded coefficients and uniform ellipticity near the boundary point, an interior tangent ball there, and enough regularity for the boundary normal derivative. The Hopf boundary point lemma says that a nonnegative maximum at with strictly smaller values inside the tangent ball satisfiesfor the outward unit normal. If , the maximum can have either sign. Without existence of a classical derivative, one states a strict one-sided derivative bound.
The PDF also asks to deduce the strong maximum principle for elliptic operators; that request is missing from the TeX transcription. Suppose attains a nonnegative global maximum inside a connected domain but is not constant. A ball in can be chosen relatively compact in the domain and tangent to at an interior point : use the distance from a nearby point to the closed maximum set. The Hopf boundary point lemma on that ball gives a nonzero outward derivative at , contradicting at an interior maximum. Therefore is constant. When , the same proof works for a maximum of either sign.
For zero Dirichlet boundary condition, the global Schauder estimate isThe constant depends on , domain regularity, the ellipticity lower bound, and coefficient norms. No sign restriction on is needed. Nonzero boundary data contribute the norm of an extension.
Nonnegativity lets us dispense with a sign restriction on . Set and . ThenThe strong minimum principle for elliptic operators forces to vanish identically if it has an interior zero. Otherwise it is strictly positive:Connectedness is part of the usual domain hypothesis; on a disconnected open set this conclusion applies separately to each component.
Take nonempty. If the bound failed, normalization would give nonnegative with supremum one, zero boundary values, , and . The global Schauder estimate bounds them in the Hölder space . By compact embedding of Hölder spaces, a subsequence converges in , , to with , zero boundary data and supremum one.
Points approaching the infima have a subsequence converging in . Uniform convergence gives an interior zero of , and part (c), the strong minimum principle for elliptic operators after replacing by , gives . This contradicts its supremum one, proving
Write ; the paper's denotes a norm, not an norm. We use a blow-up compactness proof of an interior Schauder estimate. If the estimate failed for fixed , normalization would produceChoose with and . Since , necessarily . Subtract the quadratic Taylor polynomial at and setThe domains expand to . At zero, vanish; the Hölder seminorm of is at most . Integration along segments gives uniform bounds on each fixed ball. Alsolocally uniformly, since . By compact embedding of Hölder spaces and a diagonal subsequence, converges locally in to an entire harmonic function , with and . The unit vectors have a convergent subsequence; its limit satisfies .
Each second derivative of is an entire harmonic function with finite global Hölder seminorm. The supplied polynomial-growth Liouville theorem for harmonic functions, at growth exponent , makes it constant, and its value at zero makes it zero. This contradicts the nonzero Hessian at , proving the estimate with the small term.
To remove that term, rescale the estimate to all contained balls and apply the Simon absorption lemma. Explicitly, with and , defineFor , apply the rescaled estimate on ; its larger-ball seminorm is controlled by because all points there have boundary distance at least . For more separated pairs use . The result is . Choose and use on to obtainThe forcing's Hölder seminorm cannot be discarded. For integers , takeTheir and forcing supremum norms stay bounded, but the entry of the Hessian matrix differs by two at , giving .
Interpret strict ellipticity as uniform ellipticity up to the boundary, as required for the global elliptic boundary value problem. Mere pointwise positive definiteness in the interior is insufficient: on has trivial homogeneous Dirichlet kernel but has no solution up to .
Set and . The Fredholm alternative for an elliptic Dirichlet problem says is a Fredholm operator of index zero. Its null space is finite dimensional, its range is closed, and the range codimension equals . Hence ; in this case every forcing has a unique solution.
Otherwise there are nonzero homogeneous solutions and finitely many compatibility conditions: is solvable exactly when for every continuous linear functional on vanishing on . When solvable, its solutions are . This Fredholm solvability condition can be expressed with formal-adjoint null solutions for smoother coefficients. The functional formulation avoids differentiating the merely coefficients.
Failure of the bound would give normalized with , zero Dirichlet boundary condition, and . The global Schauder estimate bounds them in . By compact embedding of Hölder spaces, a subsequence converges in to with , zero boundary data and . The uniform Hölder seminorm bounds pass to the limit, so . This contradicts the trivial null space, provingThe global Schauder estimate then gives , the bounded-inverse estimate used next.
The Fredholm alternative for an elliptic Dirichlet problem and part (b) give an inverse of norm at most . ChooseOn the closed radius- ball , set . The stated inequalities giveandThus is a contraction mapping of the complete metric space into itself. The Banach fixed-point theorem gives , solving the required nonlinear elliptic boundary value problem. This small-data existence for a nonlinear elliptic Dirichlet problem also gives uniqueness within this small ball; it does not assert global uniqueness.
Let , so has zero Dirichlet boundary condition. Using the supplied form of the minimal surface equation for a graph, setFor and , the difference bound impliesandThe shifted arguments stay in the permitted radius-two ball, and . The Laplacian with zero Dirichlet boundary condition has trivial null space by the maximum principle for harmonic functions. Choose small enough that and , for the constants in part (c) with . Its small-data existence for a nonlinear elliptic Dirichlet problem supplies , and solves the minimal surface equation for a graph with the required boundary values.
As printed, the hypotheses are insufficient. They order the barriers only on the boundary; the intended monotone iteration for a semilinear elliptic equation needs an ordered subsolution and supersolution throughout the domain. On , take a positive first Dirichlet Laplacian eigenfunction with , and setBoth barriers satisfy and vanish on the boundary, but inside. No function lies between them. This also disproves the unconditional conclusions in (b) and (d).
With the intended extra hypothesis on , solvability of the Poisson equation and the Schauder estimate give a unique with forcing and boundary data . Smooth composed with the barrier has the required forcing regularity. The barrier inequalities giveBoth differences have nonnegative boundary values. The weak maximum principle for elliptic operators applied to their negatives gives under the corrected hypothesis.
Use the interior ordered subsolution and supersolution correction from part (a). Recursively solve the Poisson equation with boundary value , starting from . Part (a) gives . If , thenThe first difference has zero boundary values, the second nonnegative values. The weak maximum principle for elliptic operators applied to their negatives gives . Induction proves the bounded monotone sequenceWithout interior ordering, the counterexample in part (a) disproves the claim.
For a sequence trapped between the fixed barriers, let bound their absolute values and put . The mean value theorem givesThe global Schauder estimate, including the fixed boundary data , and implyApply the supplied Hölder interpolation inequality with . Its remaining supremum-norm term is bounded by , yieldingIf , the stronger bound without a previous-iterate term holds directly. The constant depends on the fixed domain, exponent, barriers, boundary data and , independently of .
With the interior ordering correction in part (a), iteration of part (c) givesThe bounded monotone sequence has a pointwise limit . By compact embedding of Hölder spaces, a subsequence converges in for , necessarily to this same limit. All convergent subsequences have that limit, so compactness gives convergence of the full sequence in . Passing to the limit in gives the equation and boundary values. The uniform Hölder seminorm bounds on second derivatives pass to the limit, so , and the barriers remain ordered:This proves the intended monotone iteration for a semilinear elliptic equation. With only the boundary ordering printed in the PDF, the counterexample in part (a) shows the requested trapped solution need not exist.
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