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[Preprint]. 2023 Jan 3:arXiv:2301.00960v1. [Version 1]

THE WIENER CRITERION FOR FULLY NONLINEAR ELLIPTIC EQUATIONS

KI-AHM LEE 1, SE-CHAN LEE 2
PMCID: PMC9900964  PMID: 36748002

Abstract

We study the boundary continuity of solutions to fully nonlinear elliptic equations. We first define a capacity for operators in non-divergence form and derive several capacitary estimates. Secondly, we formulate the Wiener criterion, which characterizes a regular boundary point via potential theory. Our approach utilizes the asymptotic behavior of homogeneous solutions, together with Harnack inequality and the comparison principle.

Key words and phrases. Wiener criterion, Fully nonlinear operator, Capacity, Homogeneous solution

1. Introduction

Let Ω be an open and bounded subset in n, f be a boundary data on Ω, and ℳ be an elliptic operator. For the existence of a solution u (in a suitable sense) to the Dirichlet problem

{[u]=0in Ω,u=fon Ω,

one may apply Perron’s method. If the solvability of the Dirichlet problem on any balls is known and ℳ allows a comparison principle, it is rather straightforward to prove that the upper Perron solution H¯f satisfies [H¯f]=0 in Ω. (See Section 2 for details.) Nevertheless, we cannot ensure that the boundary condition u = f on Ω is satisfied by the upper Perron solution, in general. Instead, we are forced to discover an additional condition for the boundary Ω, which enables us to capture the boundary behavior of H¯f.

To be precise, we say a boundary point x0Ω is regular with respect to Ω, if

limΩyx0H¯f(y)=f(x0).

whenever fC(Ω). One simple characterization of a regular boundary point is to find a barrier function; see Section 2 for the precise definition. As a consequence, by constructing proper barrier functions, geometric criteria on Ω such as an exterior sphere condition or an exterior cone condition have been invoked to guarantee the boundary continuity at x0Ω for a variety of elliptic operators.

On the other hand, Wiener [40] developed an alternative criterion for a regular boundary point, based on potential theory. Namely, for the Laplacian operator (ℳ = Δ), x0Ω is regular if and only if the Wiener integral diverges, i.e.

01cap2(Bt(x0)¯\Ω,B2t(x0))cap2(Bt(x0)¯,B2t(x0))dtt=,

where cap2(K, Ω) is defined by the variational capacity of the Laplacian operator. Surprisingly, the Wiener criterion becomes both a sufficient and necessary condition for the regularity of a boundary point. Here the notion of capacity is used to measure the ‘size’ of sets in view of given differential equations. Roughly speaking, x0Ω is regular if and only if Ωc is ‘thick’ enough at x0 in the potential theoretic sense.

Both linear and nonlinear potential theory have been extensively studied in literature; see [5, 12, 13, 25, 31, 39] and references therein. Since the main ingredient of potential theory comes from the integration by parts, the theory and corresponding Wiener criterion have been developed mostly for operators in divergence form. Littman, Stampacchia and Weinburger [30] demonstrated the coincidence between the regular points for uniformly elliptic operators ℳ = −Dj(aijDi), where aij is bounded and measurable, and for the Laplacian operator. For the p-Laplacian operator (ℳ = Δp, p > 1), Maz’ya [32] verified the sufficiency of the p-Wiener criterion, i.e. x0Ω is regular for Δp if

01(capp(Bt(x0)¯\Ω,B2t(x0))capp(Bt(x0)¯,B2t(x0)))1/(p1)dtt=.

For the converse direction, Lindqvist and Martio [29] proved the necessity of the Wiener criterion under the assumption p > n − 1. Later, Kilpeläinen and Malý [20] extended this result to any p > 1, via the Wolff potential estimate. For the other available results on the Wiener criterion, we refer to [1] for p(x)-Laplacian operators and [27] for operators with Orlicz growth. Note that all of these results consider elliptic operators in divergence form.

For elliptic operators in non-divergence form, relatively small amounts of results for the Wiener criterion are known. While the equivalence was obtained for ℳ = Dj(aijDi) with merely measurable coefficients in [30], Miller [35, 36] discovered the non-equivalence with respect to ℳ = aijDiju, even if the coefficients aij are continuous. More precisely, he presented examples of linear operators ℳ in non-divergence form and domains Ω such that x0Ω is regular for ℳ, but x0 is irregular for Δ, and vice-versa. We also refer [22, 26]. On the other hand, Bauman [4] developed the Wiener test for ℳ = aijDiju with continuous coefficients aij. He proved that x0Ω is regular if and only if

  1. cap({x0}) > 0,

  2. j=1g˜(x0,x0+2je)cap(Ωc(B2j(x0)¯\B2j1(x0)))=.

Here g˜ is the normalized Green function and e is a unit vector in n.

The goal of this paper is to establish the Wiener criterion for fully nonlinear elliptic operators, by implementing potential theoretic tools. To illustrate the issues, we consider an Issacs operator, i.e. an operator F with the following two properties:

  • (F1) F is uniformly elliptic: there exist positive constants 0 < λ ≤ Λ such that for any M ∈ 𝒮n,
    λNF(M+N)F(M)ΛN,   N0.

    Here we write N ≥ 0 whenever N is a non-negative definite symmetric matrix.

  • (F2) F is positively homogeneous of degree one: F(tM) = tF(M) for any t > 0 and M ∈ 𝒮n.

Throughout the present paper, we suppose that F satisfies (F1) and (F2), unless otherwise stated. Typical examples of operators satisfying (F1) and (F2) are the Pucci extremal operators 𝒫λ,Λ+ and 𝒫λ,Λ, defined by

𝒫λ,Λ+(M)=Λei>0ei+λei<0ei,   𝒫λ,Λ(M)=Λei<0ei+λei>0ei,

where ei = ei(M) are the eigenvalues of M. For a fully nonlinear operator F satisfying (F1) and (F2), we define a dual operator

F˜(M)F(M),    for M𝒮n.

Then it is obvious that F˜ also satisfies (F1) and (F2). One important property that F satisfying (F1) and (F2) possesses is the existence of a homogeneous solution V :

Lemma 1.1 (A homogeneous solution; [3, 7]). There exists a non-constant solution of F(D2u) = 0 in n\{0} that is bounded below in B1 and bounded above in n\B1. Moreover, the set of all such solutions is of the form {aV+ba>0,b}, where VCloc1,γ(n\{0}) can be chosen to satisfy one of the following homogeneity relations: for all t > 0

V(x)=V(tx)+log t    in n\{0}    where α*=0,

or

V(x)=tα*V(tx),α*V>0    in n\{0},

for some number α* ∈ (−1, ∞)\{0} that depends only on F and n. We call the number α* = α*(F) the scaling exponent of F.

Now we are ready to state our first main theorem, namely, the sufficiency of the Wiener criterion:

Theorem 1.2 (The sufficiency of the Wiener crietrion). If

01capF(Bt(x0)¯\Ω,B2t(x0))dtt=

and

01capF˜(Bt(x0)¯\Ω,B2t(x0))dtt=,

then the boundary point x0is (F-)regular.

We remark that the Wiener integral is again defined in terms of a capacity, but the definition of a F-capacity is quite different from the variational capacity for the Laplacian case; see Section 3 for details. Furthermore, as a corollary of Theorem 1.2, we will derive the quantitative estimate for a modulus of continuity at a regular boundary point (Lemma 4.7), and suggest another geometric condition, called an exterior corkscrew condition (Corollary 4.9).

Our second main theorem is concerned with the necessity of the Wiener criterion. We propose a partial result on the necessary condition, i.e. exploiting the additional structure of F, we show that the Wiener integral at x0Ω must diverge whenever x0 is a regular boundary point.

Theorem 1.3 (The necessity of the Wiener criterion). Suppose that F is concave and α*(F) < 1. If a boundary point x0is regular, then

01capF(Bt(x0)¯\Ω,B2t(x0))dtt=.

Note that the assumption α*(F) < 1 in the fully nonlinear case corresponds to the assumption p > n − 1 in the p-Laplacian case, [29]. The underlying idea for both cases is to utilize the non-zero capacity of a line segment (or a set of Hausdorff dimension 1). Further comments on this assumption can be found in Section 5.

In this paper, the main difficulty arises from the inherent lack of divergence structure; we cannot define a variational capacity by means of an energy minimizer, and moreover, we cannot employ integral estimates involving Sobolev inequality and Poincaré inequality. Instead, we will develop potential theory with non-divergence structure by the construction of appropriate barrier functions using the homogeneous solution, and by the application of the comparison principle and Harnack inequality. In short, our strategy is to capture the local boundary behavior of the upper Perron solution H¯f in terms of newly defined capacity capF (K, B) and the capacity potential (or the balayage) R^K1(B), using prescribed tools. Heuristically, the non-variational capacity measures the ‘height’ of the F-solution with the boundary value 0 on ∂B and 1 on ∂K, while the variational capacity measures the ‘energy’ of such function. We emphasize that although our notion of capacity does not satisfy the subadditive property in general, it was still able to recover certain properties of the variational capacity.

Finally, we would like to point out that the dual operator F˜ is different from F, for general F. Thus, even though u is an F-supersolution, we cannot guarantee −u is an F-subsolution. Moreover, a similar feature is found in the growth rate of the homogeneous solution for F; two growth rates of an upward-pointing homogeneous solution and a downward-pointing one can be different. This phenomenon naturally leads us

  1. to describe the local behavior of both the upper Perron solution H¯f and the lower Perron solution H_f for regularity at x0Ω;

  2. to construct two (upper/lower) barrier functions when characterizing a regular boundary point;

  3. to display two different Wiener integrals in our main theorem,

which differ from the previous results that appeared in [4, 20, 40].

Outline.

This paper is organized as follows. In Section 2, we summarize the terminology and preliminary results for our main theorems. In short, we introduce F-superharmonic functions and Poisson modification and then perform Perron’s method. In Section 3, we first define a balayage and a capacity for uniformly elliptic operators in non-divergence form. Then we prove several capacitary estimates by constructing auxiliary functions and provide the characterization of a regular boundary point via balayage. Section 4 consists of potential theoretic estimates for the capacity potential. Then we prove the sufficiency of the Wiener criterion and several corollaries. Finally, Section 5 is devoted to the proof of the (partial) necessity of the Wiener criterion.

2. Perron’s method

2.1. F-supersolutions and F-superharmonic functions.

In this subsection, we only require the condition (F1) for an operator F. To illustrate Perron’s method precisely, we start with two different notions of solutions for a uniformly elliptic operator F: F-solutions and F-harmonic functions. Indeed, we will prove that these two notions coincide.

Definition 2.1 (F-supersolution). A lower semi-continuous [resp. upper semi-continuous] function u in Ω is a (viscosity) F-supersolution [resp. (viscosity) F-subsolution] in Ω, when the following condition holds:

if x0 ∈ Ω, φC2(Ω) and uφ has a local minimum at x0, then

F(D2φ(x0))0.

[resp. if uφ has a local maximum at x0, then F(D2φ(x0)) ≥ 0.]

We say that uC(Ω) a (viscosity) F-solution if u is both an F-subsolution and an F-supersolution.

Lemma 2.2. Suppose that a lower semi-continuous function u is an F-supersolution in. Then

u(x)=lim inf Ωyxu(y)    for any xΩ.

Proof. We argue by contradiction: suppose that

u(x0)<lim inf Ωyxu(y)    for some x0Ω.

Then for any φC2(Ω), it follows that uφ has a local minimum at x0 and so we can test this function. Therefore,

F(D2φ(x0))0    for any φC2(Ω),

which is impossible.

Theorem 2.3.

  1. (Stability) Let {uk}k≥1C(Ω) be a sequence of F-solutions in. Assume that uk converges uniformly in every compact set ofto u. Then u is an F-solution in Ω.

  2. (Compactness) Suppose that {uk}k≥1C(Ω) is a locally uniformly bounded sequence of F-solutions in. Then it has a subsequence that converges locally uniformly into an F-solution.

Theorem 2.4 (Harnack convergence theorem). Let {uk}k≥1C(Ω) be an increasing sequence of F-solutions in. Then the function u = limk→∞ uk is either an F-solution or identically +∞ in Ω.

Proof. If u(x) < ∞ for some x ∈ Ω, it follows from Harnack inequality that u is locally bounded in Ω. The interior Cα-estimate yields that the sequence uk is equicontinuous in every compact subset of Ω. Thus, applying Arzela-Ascoli theorem and Theorem 2.3 (i), we finish the proof. □

We demonstrate two essential tools for Perron’s method, namely, the comparison principle and the solvability of the Dirichlet problem in a ball.

Theorem 2.5 (Comparison principle for F-super/subsolutions, [17, 18]). Letbe a bounded open subset of n. Let vUSC(Ω¯)[resp.uLSC(Ω¯)] be an F-subsolution [resp. F-supersolution] inand vu on ∂. Then vu in Ω¯.

In the previous theorem, USC(Ω¯) denotes the set of all upper semi-continuous functions from Ω¯ to . Moreover, note that for a lower semi-continuous function f, there exists an increasing sequence of continuous functions {fn} such that fnf pointwise as n → ∞.

Theorem 2.6 (The solvability of the Dirichlet problem). Letsatisfy a uniform exterior cone condition and fC(Ω). Then there exists a unique F-solution uC(Ω¯) of the Dirichlet problem

{F(D2u)=0in Ω,u=fon Ω.

Proof. The existence depends on the construction of global barriers achieving given boundary data and the standard Perron’s method; see [9, 33] and [8, 15]. Then the uniqueness comes from the comparison principle, Theorem 2.5.

Definition 2.7 (F-superharmonic function). A function u : Ω → (−∞, ∞] is called F-superharmonic if

  1. u is lower semi-continuous;

  2. u ≢ ∞ in each component of Ω;

  3. u satisfies the comparison principle in each open D ⊂⊂ Ω: If hC(D¯) is an F-solution in D, and if hu on ∂D, then hu in D.

Analagously, a function u : Ω → [−∞, ∞) is called F-subharmonic if

  1. u is upper semi-continuous;

  2. u ≢ −∞ in each component of Ω;

  3. u satisfies the comparsion principle in each open D ⊂⊂ Ω: If hC(D¯) is an F-solution in D, and if hu on ∂D, then hu in D.

We say that uC(Ω) is F-harmonic if u is both F-subharmonic and F-superharmonic.

Lemma 2.8.

  1. If u is F-superharmonic, then au + b is F-superharmonic whenever a and b are real numbers and a ≥ 0.

  2. If u and v are F-superhmaronic, then the function min{u, v} is F-superharmonic.

  3. Suppose that ui, i = 1, 2, ⋯, are F-superharmonic in. If the sequence ui is increasing or converges uniformly on compact subsets of, then in each component of, the limit function u = limi→∞ ui is F-superharmonic unless u ≡ ∞.

Theorem 2.9 (Comparison principle for F-super/subharmonic functions). Suppose that u is F-superharmonic and that v is F-subharmonic in. If

lim sup yxv(y)lim inf yxu(y)

for all x, then vu in Ω.

Proof. Fix ε > 0 and let

Kε{xΩ:v(x)u(x)+ε}.

Then Kε is a compact subset of Ω and so there exists an open cover Dε such that KεDε ⊂ Ω where Dε is a union of finitely many balls Bi, and ∂Dε ⊂ Ω\Kε. Since u is lower semi-continuous, v is upper semi-continuous and ∂Dε is compact, we can choose a continuous function θ on ∂Dε such that vθu + ε on ∂Dε. Moreover, since Dε satisfies a uniform exterior cone condition, there exists hC(D¯) which is the unique F-solution in Dε that coincides with θ on ∂Dε by applying Theorem 2.6. Now the definition of F-super/subharmonic functions yields that

vhu+ε    in Dε.

Hence, vu + ε in Ω and the desired result follows by letting ε → 0. □

Now we describe the equivalence of F-supersolution and F-superharmonic function; see also [14, 21, 24].

Theorem 2.10. u is an F-supersolution inif and only if u is F-superharmonic in Ω.

Proof. Assume first that u is an F-supersolution in Ω. To show that u is F-superharmonic, we only need to verify the property (iii) in the definition of F-superharmonic functions. Let D ⊂⊂ Ω be an open set and take hC(D¯) to be an F-solution in D such that hu on ∂D. Thus, applying the comparison principle for F-super/subsolutions (Theorem 2.5) for u and h, we conclude that hu in D¯.

Assume now that u is F-superharmonic in Ω. For any x0 ∈ Ω, take φC2(Br(x0)) such that uφ has a local minimum 0 at x0. We need to prove that

F(D2φ(x0))0. (2.1)

We argue by contradiction; suppose that (2.1) fails. By the continuity of the operator F, there exist τ > 0 and ρ ∈ (0, r) such that

F(D2φ(x))>τ    in Bρ(x0).

Consider a cut-off function ηC02(Bρ(x0)) with supp ηBρ/2(x0) and η(x0) = 1. Since the uniform ellipticity gives

F(D2(φ+εη))F(D2φ)+ε𝒫λ,Λ(D2η)    for any ε>0,

we can choose a sufficiently small ε0 > 0 so that

F(D2(φ+ε0η))0    in Bρ(x0).

In other words, since φ + ε0ηC2(Bρ(x0)), φ + ε0η is an F-subsolution in Bρ(x0). Furthermore, by a similar argument as in the first part, we have φ + ε0η is F-subharmonic in Bρ(x0). On the other hand, on ∂Bρ/2(x0), we have

φ(x)+ε0η(x)=φ(x)u(x).

Thus, by the comparison principle for F-super/subharmonic functions (Theorem 2.9) for u and φ + ε0η, we conclude that φ + ε0ηu in Bρ/2(x0). In particular, letting x = x0, we have φ(x0) + ε0u(x0), which contradicts to the fact that u(x0) = φ(x0). □

The result for F-subsolution and F-subharmonic function can be derived in the same manner and consequently, a function u is an F-solution if and only if it is F-harmonic.

2.2. Perron’s method.

Lemma 2.11 (Pasting lemma). Let D ⊂ Ω be open. Also let u and v be F-superharmonic inand D, resepctively. If the function

s{min {u,v}in D,uin Ω\D,

is lower semi-continuous, then s is F-superharmonic in Ω.

Proof. Let G ⊂⊂ Ω be open and hC(G¯) be F-harmonic such that hs on ∂G. Then hu in G¯. In particular, since s is lower semi-continuous,

limDGyxh(y)u(x)=s(x)lim inf DGyxv(y)

for all x∂DG. Thus,

limDGyxh(y)s(x)lim inf DGyxv(y)

for all x(DG), and Theorem 2.9 implies hv in DG. Therefore, hs in G and the lemma is proved. □

Suppose that u is F-superharmonic in Ω and that B ⊂⊂ Ω is an open ball. Let

uB(z)inf {v(z):v is F-superharmonic in B, lim inf yxv(y)u(x) for each xB}

Then define the Poisson modification P(u, B) of u in B to be the function

P(u,B){uBin B,uin Ω\B.

Lemma 2.12 (Poisson modification). The Poisson modification P(u, B) is F-superharmonic in, F-harmonic in B, and P(u, B) ≤ u in Ω.

Proof. By definition, it is clear that P(u, B) ≤ u in Ω. To show P(u, B) is F-harmonic in B, choose an increasing sequence of continuous functions {θj}j≥1 on ∂B such that u = limj→∞ θj. (recall that this is possible since u is lower semi-continuous.) Then let hjC(B¯) be the F-solution of the Dirichlet problem F(D2hj) = 0 in B and hj = θj on ∂B by Theorem 2.6. The comparison principle yields that hj is also an increasing sequence. Thus, applying Harnack convergence theorem (Theorem 2.4), we have the limit function h = limj→∞ hj is an F-solution in B. Since

lim inf yxh(y)limjlim inf yxhj(y)=limjhj(x)=limjθj(x)=u(x), (2.2)

for any x∂B, we have hP(u, B) in B by the definition of uB. On the other hand, since hj(x) ≤ lim infyx v(y) where x∂B and v is an admissible function for uB, we have hP(u, B) in B by applying the comparison principle, letting j → ∞ and taking the infimum over v. Therefore, P(u, B) = h is F-harmonic in B.

Finally, if we show that P(u, B) is lower semi-continuous, then it immediately follows from the pasting lemma that P(u, B) is F-superharmonic in Ω. Indeed, it is enough to show that P(u, B) is lower semi-continuous at each point x∂B; recall (2.2). □

Remark 2.13 (Perron’s method). Let Ω be an open, bounded subset of n and f be a bounded function on Ω. The upper class 𝒰f = 𝒰f(Ω) consists of all functions u in Ω such that

  1. u is F-superharmonic in Ω;

  2. u is bounded below;

  3. lim infΩ∋yx u(y) ≥ f(x) for each xΩ.

Then, we define the upper Perron solution of f by

H¯f=H¯f(Ω)inf u𝒰fu.

Similarly, let the lower classf = ℒf(Ω) be the set of all F-subharmonic functions v in Ω which are bounded above and such that

lim sup Ωyxv(y)f(x)     for each xΩ,

and define the lower Perron solution of f by

H_f=H_f(Ω)sup vfv.

Then, the comparison principle yields that H_fH¯f.

Lemma 2.14. The Perron solutions H_f and H¯f are F-solutions in Ω.

Proof. This proof is based on the argument used in [19]. Fix an open ball B with B ⊂⊂ Ω. Next, choose a countable, dense subset X = {x1, x2, …} of B and then for each j = 1, 2, …, choose ui,j ∈ 𝒰f such that

limiui,j(xj)=H¯f(xj).

Moreover, replacing ui,j+1 by min{ui,j, ui,j+1} if necessary, we have

limiui,j(xk)=H¯f(xk),

for each k = 1, 2…, j and each j. Now, let Ui,jP(ui,j, B) be the Poisson modification of ui,j in B. Then we observe that H¯fUi,jui,j and Ui,j is F-harmonic in B. By compactness (Theorem 2.3 (ii)), Ui,j converges locally uniformly to F-harmonic vj in B (passing to a subsequence, if necessary). Again by compactness, vj converges locally uniformly to F-harmonic h in B.

By the construction of h, it follows immediately that

H¯fh

in B and H¯f=h on X. For any u ∈ 𝒰f and its Poisson modification U = P(u, B), we have uUH¯f. Since Uh on X (which is dense in B) and U, h are continuous in B, it follows that Uh in B. Thus, uh in B which implies that

H¯fh

in B. Hence, H¯f=h is F-harmonic in Ω and a similar argument for H_f completes the proof. □

We emphasize that although we proved that F(D2H¯f)=0 in Ω, we cannot guarantee that H¯f enjoys the boundary condition of the Dirichlet problem, H¯f=f on Ω. To investigate the boundary behavior of the Perron solutions and ensure the solvability of the Dirichlet problem, we need to introduce further concepts, namely, a regular point and a barrier function.

Definition 2.15 (A regular point). A boundary point x0Ω is (F-)regular with respect to Ω, if

limΩyx0H¯f(y)=f(x0)     and     limΩyx0H_f(y)=f(x0)

whenever fC(Ω). An open and bounded set Ω is called regular if each x0Ω is a regular boundary point.

Remark 2.16. Suppose that an operator ℳ satisfies ℳ[−u] = −ℳ[u]; for example, any linear operator L and p-Laplcian operators Δp possess this property. Then we have

H¯f=H_f,

and so in this case, we can equivalently call x0Ω is regular if

limΩyx0H¯f(y)=f(x0)

whenever fC(Ω). Nevertheless, for the general fully nonlinear operator F, we do not have this property. Therefore, it seems that we have to require both conditions simultaneously, when we define a regular point for F. To the best of our knowledge, it is unknown whether the two conditions in the definition are redundant. One possible approach to show that only one condition is essential is to prove that f is resolutive whenever f is continuous on Ω; see Definition 2.17 for the definition of resolutivity.

Before we define a barrier function, which characterizes a regular boundary point, we shortly deal with the resolutivity of boundary data:

Definition 2.17 (Resolutivity). We say that a bounded function f on Ω is (F-)resolutive if the upper and the lower Perron solutions H¯f and H_f coincide in Ω. When f is resolutive, we write HfH¯f=H_f.

Lemma 2.18. Letbe a bounded open set of n, let f and g be bounded functions on ∂, and let c be any real number.

  1. If f = c on ∂, then f is resolutive and Hf = c in Ω.

  2. H¯f+c=H¯f+c and H_f+c=H_f+c. If f is resolutive, then f + c is resolutive and Hf+c = Hf + c.

  3. If c > 0, then H¯cf=cH¯f and H_cf=cH_f If f is resolutive, then cf is resolutive and Hcf = cHf for c ≥ 0.

  4. If fg, then H¯fH¯g and H_fH_g.

Note that the resolutivity of f does not imply

lim yxHf(y)=f(x)

for xΩ. However, the converse is true in some sense:

Lemma 2.19. Letbe an open and bounded subset of n and f be a bounded function on ∂. Suppose that there exists F-harmonic h insuch that

limΩyxh(y)=f(x)

for any x. Then H¯f=h=H_f. In particular, f is resolutive.

Proof. Since h ∈ 𝒰f ∩ ℒf, we have H¯fhH_f. □

Lemma 2.20. If u is a bounded F-superharmonic (or F-subharmonic) function on the bounded open setsuch that f(x) = limΩ∋y→x u(y) exists for all x, then f is a resolutive boundary function.

Proof. Obviously, we have u ∈ 𝒰f and so H¯fu in Ω. Then since H¯f is F-harmonic in Ω and

lim  supΩyxH¯f(y)limΩyxu(y)=f(x),

we have H¯ff, which implies that H¯fH_f. Because H_fH¯f always holds, we conclude that f is resolutive. An analogous argument works for the F-subharmonic case. □

2.3. Characterization of a regular point.

Definition 2.21 (Barrier). Let x0Ω. A function w+:Ω[resp.w] is an upper barrier [resp. lower barrier] in Ω at the point x0 if

  1. w+ [resp. w] is F-superharmonic [resp. F-subharmonic] in Ω;

  2. lim infΩ∋yx w+(y) > 0 [resp. lim supΩ∋yx w(y) < 0] for each xΩ \ {x0};

  3. limΩyx0w+(y)=0. [resp. limΩyx0w(y)=0.]

Observe that the maximum principle indicates that an upper barrier w+ is positive in Ω and a lower barrier w is negative in Ω. Moreover, under the condition (F2), cw+ is still an upper barrier for any constant c > 0 and an upper barrier w+. See also [38].

Now we can deduce that a regular boundary point is characterized by the existence of upper and lower barriers.

Theorem 2.22. Let x0. Then the following are equivalent:

  1. x0 is regular;

  2. there exist an upper barrier and a lower barrier at x0.

Proof. (ii) ⇒ (i) For fC(Ω) and ε > 0, there is δ > 0 such that |xx0| ≤ δ with xΩ implies |f(x)−f(x0)| < ε. Moreover, for M ≔ sup |f|, there exists a large number K > 0 such that

Klim inf Ωyxw+(y)2M for all xΩ with |xx0|δ.

Here we used that x ↦ lim infΩ∋yx w+(y) is lower semi-continuous on Ω. Then since Kw+ + f(x0) + ε ∈ 𝒰f, we have

H¯f(y)Kw+(y)+f(x0)+ε,

which implies that

lim sup Ωyx0H¯f(y)f(x0).

An analogous argument leads to

lim inf Ωyx0H_f(y)f(x0).

Since H_fH¯f, we conclude that

limΩyx0H¯f(y)=f(x0)=limΩyx0H_f(y),

i.e. x0 is a regular boundary point.

(i) ⇒ (ii) Define a distance function d by

d(y)|yx0|2

so that d is continuous, non-negative and d(y) = 0 if and only if y = x0. Moreover, since D2d = 2I, we have F(D2d) = 2F(I) > 0, i.e. d is F-subharmonic.

Then letting w+H_d, we have w+ is F-harmonic in Ω and it follows from d ∈ ℒd that w+d in Ω. Thus, for any xΩ \ {x0},

lim inf Ωyxw+(y)d(x)=|xx0|2>0.

Furthermore, since x0 is regular, we have

limΩyx0w+(y)=d(x0)=0,

and so w+ is a desired upper barrier. The existence of a lower barrier is guaranteed by considering d˜(y)d(y)=|yx0|2 and wH¯d˜. □

Indeed, the barrier characterization is a local property:

Lemma 2.23. Let x0and G ⊂ Ω be open with x0∂G. If x0 is regular with respect to, then x0 is regular with respect to G.

Proof. By Theorem 2.22, there exist an upper barrier w+ and a lower barrier w with respect to Ω at x0. Then w+|G and w|G become the desired barriers with respect to G at x0. Again by Theorem 2.22, x0 is regular with respect to G. □

Lemma 2.24. Let x0and B be a ball containing x0. Then x0 is regular with respect toif and only if x0 is regular with respect to B ∩ Ω.

Proof. By Lemma 2.23, one direction is immediate. For the opposite direction, suppose that x0 is regular with respect to B ∩ Ω. Then there exist an upper barrier w+ and a lower barrier w with respect to B ∩ Ω. If we let m := min∂B∩Ω w+ > 0 (the minimum exists because w+ is lower semi-continuous), then the pasting lemma, Lemma 2.11, shows that

s+{min {w+,m}in BΩ,min Ω\B,

is F-superharmonic in Ω. One can easily verify that s+ is an upper barrier with respect to Ω at x0. Similarly, a lower barrier s can be constructed. □

The barrier characterization leads to another useful corollary, which enables us to write x0 is regular instead of F-regular, without ambiguity.

Corollary 2.25. A boundary point x0is F-regular if and only if x0 is F˜-regular.

Proof. Suppose that x0 is F-regular. By Theorem 2.22, there exists an upper barrier wF+ and a lower barrier wF. If we let wF˜+wF and wF˜wF+, then wF˜+ and wF˜ become an upper barrier and a lower barrier for F˜, respectively. Therefore, again by Theorem 2.22, x0 is F˜-regular. □

Now we present one sufficient condition that guarantees a regular boundary point, namely the exterior cone condition. In Section 4, we suggest another sufficient condition, namely the Wiener criterion, which contains this exterior cone condition as a special case.

Theorem 2.26 (Exterior cone condition). Suppose thatsatisfies an exterior cone condition at x0. Then x0 is a regular boundary point.

Proof. The proof relies on the construction of a local barrier at x0. See [9, 34, 37] for details. □

Corollary 2.27. All polyhedra and all balls are regular. Furthermore, every open set can be exhausted by regular open sets. Here a bounded open setis called a polyhedron if Ω=Ω¯ and if ∂is contained in a finite union of (n − 1)-hyperplanes.

Proof. Since polyhedra and balls satisfy the uniform exterior cone condition, the first assertion follows from Theorem 2.26. For the second assertion, exhaust Ω by domains D1 ⊂⊂ D2 ⊂⊂ ⋯ ⊂⊂ Ω. Then, since Dj¯ is compact, there exists a finite union of open cubes Qji(⊂ Dj+1) that covers Dj¯. Letting Pji int Qji¯ which is a polyhedron by the construction, we obtain the desired exhaustion. □

3. Balayage and capacity

3.1. Balayage and capacity potential.

We define the lower semi-continuous regularization u^ of any function u : E → [−∞, ∞] by

u^(x)limr0inf EBr(x)u.

Lemma 3.1. Suppose thatis a family of F-superharmonic functions in, locally uniformly bounded below. Then the lower semi-continuous regularization s of inf ℱ,

s(x)=limr0inf Br(x)(inf ),

is F-superharmonic in Ω.

Proof. Since ℱ is locally uniformly bounded below, s is lower semi-continuous. Fix an open D ⊂⊂ Ω and let hC(D¯) be an F-harmonic function satisfying hs on ∂D. Then hu in D whenever u ∈ ℱ. It follows from the continuity of h that hs in D. □

Definition 3.2 (Balayage and capacity potential).

  1. For ψ : Ω → (−∞, ∞] which is locally bounded below, let
    Φψ=Φψ(Ω){u:u is F-superharmonic in Ω and uψ in Ω}.
    Then the function
    Rψ=Rψ(Ω)inf Φψ
    is called the reduced function and its lower semi-continuous regularization
    R^ψ=R^ψ(Ω)
    is called the balayage of ψ in Ω. By Lemma 3.1, R^ψ is F-superharmonic in Ω.
  2. If u is a non-negative function on a set E ⊂ Ω, we write
    ΦEu=Φψ,    REu=Rψ,    R^Eu=R^ψ,
    where
    ψ={uin E,0in Ω\E.

    The function R^Eu is called the balayage of u relative to E.

  3. In particular, we call the function R^E1 the (F-)capacity potential of E in Ω.

Remark 3.3. For an operator in divergence form, there exists an alternative method to define the capacity potential. For simplicity, suppose that the operator is given by the p-Laplacian. Let Ω be bounded and K ⊂ Ω be a compact set. For ψC0(Ω) with ψ ≡ 1 on K, the p-harmonic function u in Ω \ K with uψW01,p(Ω\K) is called the capacity potential of K in Ω and denoted by ℛ(K, Ω). Here note that ℛ(K, Ω) is independent of the particular choice of ψ and the existence of the capacity potential is guaranteed by the variational method. Indeed, both definitions of capacity potentials coincide; see [12, Chapter 9] for details.

Lemma 3.4. The balayage R^Eu is F-harmonic in Ω\E¯ and coincides with R^Eu there. If, in addition, u is F-superharmonic in, then R^Eu=u in the interior of E.

Proof. Observe first that if v1 and v2 are in ΦEu, then so is min{v1, v2}. Hence, the family ΦEu is downward directed and we may invoke Choquet’s topological lemma (see Lemma 8.3. in [12]): there is a decreasing sequence of functions viΦEu with the limit v such that

v^(x)=R^Eu(x)

for all x ∈ Ω.

Next, we choose a ball BΩ\E¯ and consider a Poisson modification si = P(vi, B). Then it follows that siΦEu and si+1sivi. Thus, we have

REuslimisiv,

which implies that R^Eu=v^=s^. Moreover, since s is F-harmonic in B (Harnack convergence theorem, Theorem 2.4), we know that s^=s. Therefore, we conclude that the balayage R^Eu is F-harmonic in Ω\E¯. The second assertion of the lemma is rather immediate since uΦEu if u is F-superharmonic in Ω.

Lemma 3.5. Let K be a compact subset ofand consider RK1=RK1(Ω) and R^K1=R^K1(Ω).

  1. 0R^K1RK11 in Ω.

  2. RK1=1 in K.

  3. RK1=R^K1 in (∂K)c.

  4. R^K1 is F-superharmonic inand F-harmonic in Ω \ K.

Proof.

  1. It immediately follows from the definition of RK1 and the comparison principle.

  2. Since 1 ∈ Φψ(Ω), we have RK11 in Ω. On the other hand, for any uΦψ(Ω), we have uψ = 1 in K and so RK11 in K.

  3. (iii), (iv) It immediately follows from Lemma 3.4 and part (ii). □

The following theorem shows that the capacity potential can be understood as the upper Perron solution:

Theorem 3.6. Suppose that K is a compact subset of a bounded, open setand that u=R^K1(Ω) is the capacity potential of K in. Moreover, let f be a function such that

f={1onK,0inΩ.

Then

R^K1(Ω)=H¯f(Ω\K)

in Ω \ K.

Proof. Lemma 3.4 shows that R^K1=RK1 in Ω \ K. Then recall that

RK1(Ω)=inf ΦK1=inf {v:v is F-superharmonic in Ω and vψ in Ω},

where

ψ={1in K,0in Ω\K,

and

H¯f(Ω\K)=inf 𝒰f=inf {v:v is F-superharmonic in Ω\K, lim infΩ\Kyxv(y)f(x) for each x(Ω\K)},

where

f={1on K,0in Ω.
  1. Suppose that vΦK1. Since v ≥ 0 in Ω, we have lim infΩ\Kyx v(y) ≥ 0 = f(x) for xΩ. Moreover, since v is lower semi-continuous, we have
    lim inf Ω\Kyxv(y)lim inf Ωyxv(y)v(x)1=f(x),
    for x∂K. Therefore, we conclude v ∈ 𝒰f, which implies that H¯f(Ω\K)RK1(Ω) in Ω \ K.
  2. Suppose that v ∈ 𝒰f. We consider v¯min {1,v}𝒰f so that 0v¯1 in Ω \ K. Then, since u ≡ 1 is F-superharmonic in Ω, the function
    s={min {1,v¯}=v¯in Ω\K,1in K
    is F-superharmonic in Ω by pasting lemma, Lemma 2.11. Obviously, sΦK1 and so RK1(Ω)v¯v in Ω \ K. □

3.2. Capacity.

In general, for an operator in divergence form, we consider a variational capacity, which comes from minimizing the energy among admissible functions. On the other hand, for an operator in non-divergence form, we cannot consider the corresponding energy, and so we require an alternative approach to attain a proper notion of capacity. Our definition of a capacity is in the same context with Bauman [4] (for linear operators in non-divergence form) and Labutin [24] (for the Pucci extremal operators).

Definition 3.7 (Non-variational capacity). For a ball B = B2r(x0), we fix a ball B′ = B7/5r(x0) ⊂ B and a point y0=x0+32re1. Then we define a capacity for fully nonlinear operator F by cap(K, B) = capF (K, B) ≔ inf{u(y0) : u is F-superharmonic in B, u ≥ 0 in B, and u ≥ 1 in K} whenever K is a compact subset of B′.

Comparing the definitions of capacity and capacity potential, we immediately notice that

cap(K,B)=R^K1(B)(y0).

Moreover, appealing to Theorem 3.6, we further have

cap(K,B)=H¯f(B\K)(y0),

where the boundary data f on (B \ K) is given by

f={1on K,0in B.

Finally, considering Harnack inequality for R^K1(B) on the sphere ∂B3r/2(x0), we notice that capacities defined for different choices of y0∂B3r/2(x0) are comparable.

Lemma 3.8 (Properties of capacity). Fix a ball B = B2r(x0). Then the set function K ↦ cap(K, B), where K is a compact subset of B′ = B7/5r(x0), enjoys the following properties:

  1. 0 ≤ cap(K, B) ≤ 1.

  2. If K1K2B, then
    cap(K1,B)cap(K2,B).
  3. If a monotone sequence of compact sets {Kj}j=1 satisfies B′ ⊃ K1K2 ⊃ ⋯, then
    cap(K,B)=limjcap(Kj,B),    for Kj=1Kj.
  4. (Subadditivity) We further suppose that F is convex. If K1 and K2 are compact subsets of B, then
    cap(K1K2,B)cap(K1,B)+cap(K2,B).

Proof.

  1. Recalling Lemma 3.5, we have 0 ≤ cap(K, B) ≤ 1.

  2. If K1K2, then ΦK21ΦK11 and so cap(K1, B) ≤ cap(K2, B).

  3. Since cap(Kj, B) ≥ cap(K, B) by (ii), it is immediate that
    cap(K,B)limjcap(Kj,B).
    For the reversed inequality, fix small ε > 0 and uΦK1(B). If j is large enough, then Kj ⊂ {u ≥ 1 − ε} and so
    limjcap(Kj,B)cap({u1ε},B)11εu(y0).
    Letting ε → 0+ and taking infimum for uΦK1(B), we conclude that
    limjcap(Kj,B)cap(K,B).
  4. Let v1ΦK11(B) and v2ΦK21(B). Since F is convex, we can apply [6, Theorem 5.8] to obtain 12(v1+v2) is F-superharmonic in B. Moreover, it follows from the assumption (F2) that v1+v2ΦK1K21(B) and so RK1K21(B)v1+v2. Putting the infimum on this inequality and evaluating at y0, we conclude that
    cap(K1K2,B)cap(K1,B)+cap(K2,B).

We would like to remove the restriction of compact sets when defining a capacity. For this purpose, when UB′ is open, we set the inner capacity

cap*(U,B)sup KU,K compactcap(K,B).

Then for an arbitrary set EB′, we set the outer capacity

cap*(E,B)inf EUB,U opencap*(U,B).

Lemma 3.9. Fix a ball B = B2r(x0). For a compact subset K of B′ = B7r/5(x0), we have

cap(K,B)=cap*(K,B).

In other words, there is no ambiguity in having two different definitions for the capacity of compact sets.

Proof.

  1. For any open set U satisfying KUB′, the definition of the inner capacity yields that
    cap(K,B)cap*(U,B).
    By taking the infimum over such U, we conclude that
    cap(K,B)cap*(K,B).
  2. Define a sequence of compact sets {Kj}j=1 by
    Kj{xn:dist(x,K)1/j},
    and a sequence of open sets {Uj}j=1 by
    Uj{xn:dist(x,K)<1/j}.
    We may assume K1B′. Then we have
    BK1U1K2U2K,    and    K=jKj
    Applying Lemma 3.8 (ii), it follows that
    cap*(Uj,B)cap(Kj,B).
    By the definition of outer capacity,
    cap*(K,B)cap*(Uj,B)cap(Kj,B),    for any j.
    Now letting j → ∞, Lemma 3.8 (iii) leads to
    cap*(K,B)cap(K,B).

Roughly speaking, we have the following correspondance:

the variational capacity  divergence operator,the height capacity  non-divergence operator.

In the following lemma, we explain why the definition of height capacity is reasonable in some sense. In other words, we claim that for the Laplacian operator Δ, two definitions of capacity are comparable.

Lemma 3.10 (The variational capacity and the height capacity). Suppose n ≥ 3 and fix two balls B = B2r(x0), B′ = B7r/5(x0) and a point y0=32re1+x0B3r/2(x0). Then for any compact set KB, we have

capΔ,var(K,B)~capΔ,height(K,B)rn2,

where the comparable constant depends only on n.

Proof. We may assume x0 = 0. We denote by u the capacity potential with respect to K in B.

Note that u is harmonic in B \ K.

We begin with the variational capacity:

capΔ,var(K,B)=B\K|u|2 dx=Kunds=Bunds.

Here we applied the divergence theorem and used the behavior of u on the boundary.

On the other hand, recalling the definition of height capacity, we have

capΔ,height(K,B)=u(y0).

By Harnack inequality, there exist constants c1, c2 > 0 which only depend on n such that

c1u(y0)u(x)c2u(y0)   for any xB3r/2.

Thus, if we set m := min∂B3r/2 u and m+ := max∂B3r/2 u, then we have

c1capΔ,height(K,B)mm+c2capΔ,height(K,B).

Moreover, we consider two barriers h± which solve the Dirichlet problem in B2r \ B3r/2:

{Δh±=0in B2r\B3r/2h±=m±on B3r/2,h±=0on B2r.

Indeed, using the homogeneous solution V (x) = |x|2−n, one can compute h± explicitly:

h±(x)=m±|x|2n(2r)2n(3r/2)2n(2r)2n.

Then the comparison principle between u and h± leads to

huh+   in B2r\B3r/2,

and so

c(n)mr=hnunh+n=c(n)m+r   on B.

Therefore, we conclude that

c1(n)rn2capΔ,height(K,B)capΔ,var(K,B)c2(n)rn2capΔ,height(K,B).

Next, we estimate the capacity of a ball Bρ with respect to the larger ball B2r. Indeed, the capacity of a ball can capture the growth rate of the homogeneous solution V of F.

Lemma 3.11 (Capacitary estimate for balls). Let B = B2r(x0), B=B75r(x0) and y0=x0+32re1.

Then for any 0<ρ<75r, there exists a constant c = c(n, λ, Λ) > 0 which is independent of r and ρ such that

  1. * > 0)
    1crα*ρα*(2r)α*capF(Bρ(x0)¯,B2r(x0))crα*ρα*(2r)α*.
  2. * < 0)
    1crα*(2r)α*ρα*capF(Bρ(x0)¯,B2r(x0))crα*(2r)α*ρα*.
  3. * = 0)
    1c1log(2r)log ρcapF(Bρ(x0)¯,B2r(x0))clog(2r)log ρ.

Proof. We may assume x0 = 0. Applying the argument after the definition of a capacity, we have

capF(Bρ¯,B2r)=R^Bρ¯(B2r)(y0)=H¯f(B2r\Bρ¯)(y0),

where the boundary data f is given by

f={1on Bρ,0in B2r.

Moreover, since a ball is a regular domain, we can write H¯f(B2r\Bρ¯)=v where v is the unique solution of the Dirichlet problem

{F(D2v)=0in B2r\Bρ¯,v=1on Bρ,v=0in B2r.

Note that H¯f(B2r\Bρ¯) is continuous upto the boundary. We now split three cases according to the sign of α*(F).

  1. (α* > 0) In this case, for the homogeneous solution V(x)=|x|α*V(x|x|), denote
    V+max |x|=1V(x)   and   Vmin |x|=1V(x)
    and choose two points x+, x with |x+| = 1 = |x| so that
    V(x+)=V+   and   V(x)=V.
    We define two functions
    v+(x)V(x)(2r)α*V[ρα*(2r)α*]V   and   v(x)V(x)(2r)α*V+[ρα*(2r)α*]V+.
    Then we have
    F(D2v+)=0=F(D2v) in B2r\Bρ¯,
    v+1 on Bρ and v+0 on B2r,
    v1 on Bρ and v0 on B2r.
    Thus, the comparison principle yields that
    vv=H¯f(B2r\Bρ¯)=R^Bρ¯(B2r)v+   in B2r\Bρ¯.
    Finally, applying Harnack inequality for v on ∂B3r/2, there exists a constant c1 > 0 which is independent of r > 0 such that
    1c1v(3rx+2)v(y0)c1v(3rx2).
    Therefore, we have the desired upper bound:
    capF(Bρ¯,B2r)=v(y0)c1v(3rx2)c1v+(3rx2)=c1(3r/2)α*(2r)α*ρα*(2r)α*=crα*ρα*(2r)α*.
    Similarly, we derive the lower bound:
    capF(Bρ¯,B2r)=v(y0)1c1v(3rx+2)1c1v(3rx+2)=1c1(3r/2)α*(2r)α*ρα*(2r)α*=1crα*ρα*(2r)α*.
  2. (α* < 0) For simplicity, we assume that the upward-pointing homogeneous solution is given by
    V(x)=|x|α*.
    Then we can explicitly write the capacity potential:
    v(x)=(2r)α*|x|α*(2r)α*ρα*.
    Thus,
    capF(Bρ¯,B2r)=v(y0)~rα*(2r)α*ρα*.
    For general V, we can compute by a similar argument as in part (i). For example, if V(x)=|x|α*V(x|x|), then define
    v+(x)(2r)α*V++V(x)[(2r)α*ρα*]V+   and   v(x)(2r)α*V+V(x)[(2r)α*ρα*]V.
  3. (α* = 0) Again for simplicity, we may assume the upward-pointing homogeneous solution is given by
    V(x)=log|x|.
    Similarly, we can explicitly write the capacity potential:
    v(x)=log(2r)log|x|log(2r)log ρ.
    Thus,
    capF(Bρ¯,B2r)=v(y0)~1log(2r)log ρ.
    For general V, we can compute by a similar argument as in part (i). For example, if V(x)=V(x|x|)log|x|, then define
    v+(x)log(2r)V+V(x)log(2r)log ρ   and   v(x)log(2r)V++V(x)log(2r)log ρ.

We can observe that the capacity of a single point is determined according to the sign of the scaling exponent α*(F). In fact, one can expect the results of the following lemma taking ρ → 0+ in the capacitary estimate, Lemma 3.11.

Lemma 3.12. For z0n, choose a ball B = B2r(x0) so that z0B′ = B7r/5(x0).

  1. If α*(F) ≥ 0, then
    capF({z0},B)=0.
  2. If α*(F) < 0, then
    capF({z0},B)>0.

Proof.

  1. Let
    V(x)={|x|α*V(x|x|)if α*>0,log|x|+V(x|x|)if α*=0.
    be the homogeneous solution of F. Then for m ≔ minx∂B V (xz0) and any ε > 0, we have
    ε[V(xz0)m]Φ{z0}1
    due to the minimum principle and limxz0V(xz0)=. Thus,
    cap({z0},B)=R^{z0}1(y0)=R{z0}1(y0)ε[V(y0z0)m].

    Since ε > 0 is arbitrary, we finish the first part of proof.

  2. Let V(x)=|x|α*V(x|x|) be the homogeneous solution of F. Then for maxx∂B V (xz0) ≕ −M < 0, we consider
    u(x)1+V(xz0)M.
    Since sup∂B u = 0 and V is a homogeneous function, we have sup B7/5ru>0. On the other hand, recalling Theorem 3.6,
    R^{z0}1=H¯f(Ω\{z0})H_f(Ω\{z0}),
    where the boundary data f is given by
    f(x)={1if x=z0,0if xB.
    Then u ∈ ℒf and so H_f(Ω\{z0})u. Therefore, we conclude that
    sup B7/5rR^{z0}1>0
    and by Harnack inequality, cap({z0}, B) > 0 as desired.

3.3. Capacity zero sets.

Definition 3.13. A set E in n is said to be of (F-)capacity zero, or to have (F-)capacity zero if

capF(E,B)=0

whenever EB′ ⊂ B. In this case, we write capFE = 0.

According to Lemma 3.12 (i), we immediately notice that every single point is of F-capacity zero if α*(F) ≥ 0. Indeed, we are going to show that: to check whether a compact set K is of capacity zero or not, it is enough to test with respect to one ball B (Corollary 3.15). For this purpose, we require the following version of a capacitary estimate, called “comparable lemma”.

Lemma 3.14 (Comparable lemma). If KB′ = B7r/5 and 0 < rs ≤ 2r, then there exists a universal constant c > 0 such that

1ccapF(K,B2r)capF(K,B2s)ccapF(K,B2r).

Proof. We may assume x0 = 0. We claim that for 0<rs2120r, we have

1ccapF(K,B2r)capF(K,B2s)ccapF(K,B2r).

Indeed, we may iterate this inequality finitely many times to conclude the desired inequality for 0 < rs ≤ 2r. Moreover, let yr=32re1, ys=32se1 and denote urR^K1(B2r), usR^K1(B2s).

By the definition of the capacity potential, it is immediate that urus in B2r. In particular, we have

capF(K,B2r)=ur(yr)us(yr).

On the other hand, an application of Harnack inequality for us (in a small neighborhood of B3s/2 \ B10s/7) yields that there exists a constant c > 0 which is independent of the choice of r and s such that

us(yr)cus(ys)=ccapF(K,B2s).

Here note that |yr|=32r107s>75s and RK1(B2s) is F-harmonic in B2s\B7s/5 and B3s/2\B10s/7B2s \ B7s/5. Therefore, it finishes the proof for the first inequality.

Next, for the second inequality, we first assume that α*(F) > 0 and the homogeneous solution is given by V(x)=|x|α* (for computational simplicity) and let

Mmax B2rus[0,1).

Then recalling Theorem 3.6, the comparison principle yields that

(1M)ur+Mus   in B2r\K. (3.1)

Now choose z∂B3r/2 so that

us(z)=max B3r/2us=:M1.

Then it can be easily checked that the function

w(x)M1|x|α*(2s)α*(3r/2)α*(2s)α*

is F-harmonic in B2s \ B3r/2 and by the comparison principle, wus in B2s \ B3r/2. (here again note that 75s<32r.) In particular,

M1(2r)α*(2s)α*(3r/2)α*(2s)α*M,
M1(3s/2)α*(2s)α*(3r/2)α*(2s)α*us(32se1)=capF(K,B2s).

Since (3r/2)α*(2r)α*(3s/2)α*(2s)α* or equivalently,

(3r/2)α*(2s)α*[(3s/2)α*(2s)α*]+[(2r)α*(2s)α*],

we obtain

us(z)=M1M+capF(K,B2s). (3.2)

Moreover, by (3.1) and (3.2), we have ur(z) ≥ (1 − M)ur(z) ≥ capF (K, B2s) and then Harnack inequality leads to

capF(K,B2s)ccapF(K,B2r),

for constant c > 0 which is independent of r and s. Finally, for the general homogeneous solution or the case of α*(F) ≤ 0, one can follow the idea of Lemma 3.11. □

Corollary 3.15. Suppose that cap(K, B) = 0 for KB′ ⊂ B. Then

  1. for any ball B1 such that KB1 and B1B′, we have
    cap(K,B1)=0;
  2. for any ball B2 such that B2B, we have
    cap(K,B2)=0;
  3. K is of F-capacity zero.

Proof.

  1. Apply the first inequality of Lemma 3.14 finitely many times.

  2. Apply the second inequality of Lemma 3.14 finitely many times.

  3. It is an immediate consequence of (i) and (ii).

Now we shortly illustrate the potential theoretic meaning of capacity zero sets, at least for convex operators F. In the end, F-capacity zero sets are ‘negligible’ in view of the fully nonlinear operator F; i.e. F-capacity really measures the size of given sets in a suitable way to interpret the corresponding PDE.

Definition 3.16 (Polar sets). A compact set K is called F-polar, or simply polar, if there exist an open ball B2r with KB7r/5, and F-superharmonic function u in B2r such that u|K = ∞.

Lemma 3.17. Suppose that K is a compact set in B7r/5 and F is convex. Then the followings are equivalent:

  1. K is polar.

  2. capFK = 0.

Proof. (i) ⇒ (ii): Since K is polar, let u be an F-superharmonic function in B2r such that u|K = ∞. Recalling the definition of F-superharmonic functions, there exists a point x0B2r\K such that u(x0) < ∞. Since u is lower semi-continuous and u cannot attain the value −∞, we may assume infB2r u > −∞ by choosing a little smaller ball B2r instead of B2r. Then by adding a positive constant if necessary, we further assume infB2r u ≥ 0, i.e. u is non-negative in B2r. Note that we still have u is F-superharmonic in B2r and u|K = ∞. Therefore, for any ε > 0, we have εuΦK1(B2r) and so

R^K1(B2r)εu.

Letting ε → 0 and taking x = x0, we notice that R^K1(B2r)(x0)=0. Finally, the strong minimum principle implies that capFK = 0.

(ii) ⇒ (i): Let y0=x0+32re1. Then by the definition of the capacity and the capacity potential, we have R^K1(B2r(x0))(y0)=0. Thus, there exists a sequence of F-superharmonic functions {uj}j=1 in B2r such that

uj0 in B2r,uj1 on K and uj(y0)<1/2j.

Define vkj=1kuj which is lower semi-continuous and is finite in a dense subset of Ω. Furthermore, since F is convex, we have F(D2vk) ≤ 0, and so vk is F-superharmonic. Since {vk}k is an increasing sequence of F-superharmonic functions, Lemma 2.8 (iii) gives that the limit function v = vk is either F-superharmonic or v ≡ ∞. The second possibility is excluded because 0 ≤ v(y0) ≤ 1. Therefore, v is F-superharmonic in B2r and v|K = ∞, which implies that K is polar.

Definition 3.18 (Removable sets). A compact set K(⊂ B7r/5) is called F-removable, or simply removable, if for each function u that is F-superharmonic on B2r \ K and is bounded below in a neighborhood of K, there exists an extension U of u which is F-superharmonic in B2r and U = u in B2r \ K.

Lemma 3.19. Suppose that K is a compact set of capacity zero and F is convex. Then K is removable.

Proof. Let u be an F-superharmonic function in B2r \ K and is bounded below in a neighborhood of K. Since K is of capacity zero, we have R^K1(B2r)(y0)=0 and so R^K1(B2r)=0 by the strong minimum principle. In particular, RK1(B2r)0 in B2r \ K. Now, for any z0B2r \ K, following the proof of [(ii) ⇒ (i)] part in Lemma 3.17, there exists a non-negative F-superharmonic function vz0 in B2r such that vz0|K= and vz0(z0)<.

Now we consider a canonical lower semi-continuous extension U of u across K, which is defined by

U(x)={lim inf yx,yKu(y)if xint K,if xint K.

Then U is the lower semi-continuous regularization of the function v, where

v={uin B2r\K,on K.

See [11] for details. Moreover, by Lemma 2.2 and Lemma 2.10, we notice that U = u in B2r \ K and so U is F-superharmonic in B2r \ K.

Then we claim that U+εvz0 is F-superharmonic in B2r, for any ε > 0 and z0B2r\K. Indeed, the convexity of F immediately guarantees that U+εvz0 is F-superharmonic in B2r \ K. On the other hand, since U+εvz0|K=, we cannot choose any test functions for U+εvz0 at points in K. In other words, for any φC2(Ω), U+εvz0φ cannot have a local minimum at x0K. Thus, recalling the equivalence of F-supersolution and F-superharmonic function (Theorem 2.10), we conclude that U+εvz0 is F-superharmonic in B2r.

Now let ={U+εvz0}ε>0,z0B2r\K be a family of F-superharmonic functions in B2r. Since u is bounded below in a neighborhood of K and vz0 is non-negative, any element in ℱ is locally uniformly bounded below. Thus, applying Lemma 3.1, we have

s(x)=limr0inf Br(x)(inf )

is F-superharmonic in B2r. On the other hand, it is easy to check that

inf ={uin B2r\K,on K.

Therefore, we conclude that s = U and U is a desired extension of u. □

Remark 3.20. Considering the dual operator F˜, one can obtain analogous definitions and corresponding results when the operator is concave.

For similar results concerning polar sets and removable sets, see [12] for p-Laplacian operators, [24] for Pucci extremal operators, and [23] for k-Hessian operators. See also [2, 10, 11] for the analysis of polar sets and removable sets in view of Riesz capacity or Hausdorff measure.

3.4. Another characterization of a regular point.

The definitions of a reduced function and a balayage depend on the choice of an operator F. In this subsection, we need to distinguish an operator and its dual operator, so we will specify the dependence by denoting R^K1,F(Ω) or R^K1,F˜(Ω). We now provide a key lemma for our first main theorem, the sufficiency of the Wiener criterion:

Lemma 3.21. A boundary point x0is regular if

R^B¯\Ω1,F˜(2B)(x0)=1=R^B¯\Ω1,F(2B)(x0)

whenever B is a ball centered at x0.

Proof. For fC(Ω), consider the upper Perron solution H¯f=H¯f(Ω). We may assume f(x0) = 0 and max |f| ≤ 1. For ε > 0, we can choose a ball B with center x0 such that (2B) ∩ Ω ≠ ∅ and |f| < ε in 2BΩ. Then we define

u={1+εR^B¯\Ω1,F˜(2B)in Ω2B,1+εin Ω\2B.

Since R^B¯\Ω1,F˜(2B) is a F˜-solution in Ω ∩ 2B, 1+εR^B¯\Ω1,F˜(2B) is F-harmonic in Ω ∩ 2B. On the other hand, by Theorem 3.6, R^B¯\Ω1,F˜(2B) can be considered as the upper Perron solution for the operator F˜. Then since a ball is regular, we have

limyxR^B¯\Ω1,F˜(2B)(y)=0   for all x(2B).

Thus, u is continuous in Ω and by the pasting lemma, u is F-superharmonic in Ω. Moreover, it can be easily checked that

lim inf yxu(y)f(x)   for any xΩ.

Therefore, u ∈ 𝒰f and so H¯fu. In particular,

lim sup Ωyx0H¯f(y)lim sup Ωyx0u(y)=1+εlim inf Ωyx0R^B¯\Ω1,F˜(2B)(y)1+εR^B¯\Ω1,F˜(2B)(x0)=ε.

For the converse inequality, we define

v={1ε+R^B¯\Ω1,F(2B)in Ω2B,1εin Ω\2B.

Then by a similar argument, v ∈ ℒf and so,

lim inf Ωyx0H_f(y)ε.

Consequently, since ε > 0 is arbitrary, we conclude that

limΩyx0H¯f(y)=limΩyx0H_f(y)=0=f(x0),

i.e. x0 is regular. □

Next, we exhibit a converse direction of the above lemma: i.e. a characterization of an irregular boundary point. We expect that this lemma may be employed to prove the necessity of the Wiener criterion for the general case.

Lemma 3.22 (Characterization of an irregular boundary point). If there exists a constant ρ > 0 such that the capacity potential u = uρ of Bρ(x0)¯\Ω with respect to B(x0) satisfies the inequality

u(x0)=R^Bρ(x0)¯\Ω1(B2ρ(x0))<1,

then the boundary point x0is irregular.

Proof. Since the capacity potential u is the lower semi-continuous regularization, we have

u(x0)=lim inf Ωxx0u(x)<1. (3.3)

Moreover, by definition, we have uρuρ when 0 < ρ′ < ρ. Thus, we can choose a sufficiently small ρ > 0 such that (3.3) holds and Ω ∩ ∂B2ρ(x0) ≠ ∅.

Now we define a smooth boundary data f on (Ω ∩ B2ρ(x0)) such that f(x) = 3/2 if xΩ ∩ Bρ/2(x0), 0 ≤ f(x) ≤ 3/2 if xΩ ∩ (Bρ(x0) \ Bρ/2(x0)) and f(x) = 0 on the remaining part of (Ω ∩ B2ρ(x0)). Then we consider the lower Perron solution H_f(ΩB2ρ(x0)). We claim that the following inequality holds:

H_f(x)12+u(x),   xΩB2ρ(x0). (3.4)

Recalling the comparison principle, it is enough to check the above inequality on the boundary of the domain Ω∩B2ρ(x0). For this purpose, let v ∈ ℒf(Ω∩B2ρ(x0)) and w𝒰g(B2ρ(x0)\(Bρ(x0)¯\Ω)) where g is given by (recall Theorem 3.6)

g={1on (Bρ(x0)¯\Ω),0in B2ρ(x0).
  1. (on Ω ∩ B2ρ(x0)) First, for xΩ ∩ Bρ(x0), we have
    lim sup yxv(y)f(x)32=12+g(x)12+lim inf yxw(y).
    Next, for xΩ ∩ (B2ρ(x0) \ Bρ(x0)), we have
    lim sup yxv(y)f(x)=012+g(x)12+lim inf yxw(y).
  2. (on Ω ∩ ∂B2ρ(x0)) Similarly, we obtain
    lim sup yxv(y)f(x)=012+g(x)12+lim inf yxw(y).

Now since v and w are F-subharmonic and F-superharmonic, respectively, we derive that

v12+w,   in ΩB2ρ(x0).

Taking the supremum on v and the infimum on w, we conclude (3.4) which implies that

lim inf ΩB2ρ(x0)xx0H_f(x)12+lim inf ΩB2ρ(x0)xx0u(x)<32=f(x0).

Therefore, x0 is irregular with respect to Ω ∩ B2ρ(x0). Recalling Lemma 2.24, we deduce that x0 is irregular with respect to Ω. □

4. A sufficient condition for the regularity of a boundary point

In this section, we prove the sufficiency of the Wiener criterion and its sequential corollaries, via the potential estimates. More precisely, we first develop quantitative estimates for the capacity potential R^K1(B) by employing capacitary estimates obtained in Section 3. Then we adopt the characterization of a regular boundary point in terms of the capacity potential to deduce the desired conclusion.

Definition 4.1. We say that a set E is F-thick at z if the Wiener integral diverges, i.e.

01capF(EBt(z)¯,B2t(z))dtt=. (4.1)

For simplicity, we write

φF(z,E,t)=capF(EBt(z)¯,B2t(z)),

for the capacity density function in (4.1).

Remark 4.2. Recalling Lemma 3.11, there exists a constant c > 0 which is independent of t > 0 such that

1/ccapF(Bt¯,B2t)c.

Thus, one may write an equivalent form of (4.1):

01capF(EBt(z)¯,B2t(z))capF(Bt(z)¯,B2t(z))dtt=,

which is a similar form to the Wiener integral appearing in [20, 40].

Now we can state an equivalent form of our main theorem, Theorem 1.2:

If Ωc is both F-thick and F˜-thick at a boundary point x0Ω, then x0 is regular. To prove this statement, we need several auxiliary lemmas regarding the capacity potential.

Lemma 4.3. Fix a ball B. Suppose that KBis compact and v=R^K1(B). If 0 < γ < 1 and Kγ ≔ {xB : v(x) ≥ γ} ⊂ B′, then

cap(Kγ,B)=1γcap(K,B)

Proof. We write vγR^Kγ1(B). Then by Lemma 3.4 and the definition of a reduced function,

vγ=RKγ1(B)=inf ΦKγ1=inf{w:w is F-superharmonic in B,wψγ in B}   in B\Kγ,

where

ψγ={1in Kγ,0in B\Kγ.
  1. Clearly, v=R^K1(B) is F-superharmonic in B and so is v/γ due to (F2). Since vγ in Kγ, we have v/γ ≥ 1 in Kγ. Thus, v/γΦKγ1 and so
    vγvγ   in B\Kγ.
  2. Recalling Theorem 3.6, vγ=H¯fγ(B\Kγ) in B\Kγ where
    fγ={1on Kγ,0on B.
    Then for u𝒰fγ(B\Kγ), we have
    lim inf B\Kγyxu(y)fγ(x)=1=v(x)γ,
    for any x∂Kγ. Since u is F-superharmonic and v/γ is F-harmonic in B \ Kγ, the comparison principle leads to uv/γ in B \ Kγ and so
    vγvγ   in B\Kγ.

Consequently, we conclude that

cap(Kγ,B)=vγ(y0)=1γv(y0)=1γcap(K,B).

Lemma 4.4. Fix a ball B = B2r(x0). Let KBr = Br(x0) be a compact set and v=R^K1(B). Then there exists a constant c > 0 which is independent of K and r such that

v(x)c cap(K,B),

for any xBr.

Proof. Denote

Msup B6r/5v,   minf B6r/5v.

Since v is a non-negative F-solution in B\K, Harnack inequality yields that there exists a constant c1 > 0 independent of r > 0 such that

c1Mm. (4.2)

Morevoer, the strong maximum principle in B \ B6r/5 implies that

KM{vB:v(x)M}B6r/5¯,

and so

cap(KM,B)cap(B6r/5¯,B)~1. (4.3)

Here we applied Lemma 3.11 and the comparable constant does not depend on K and r.

Now since KMB′, we can apply Lemma 4.3:

cap(KM,B)=1Mcap(K,B). (4.4)

Finally, combining (4.2), (4.3) and (4.4), we conclude that

mc1M=c1cap(K,B)cap(KM,B)c2cap(K,B),

and the minimum principle leads to the desired result. □

We may rewrite the previous lemma as

R^K1(B2r)(x)cφF(x0,K,r),   for any xBr. (4.5)

Lemma 4.5. Let x0Ω, ρ > 0 and

w=1R^1Bρ(x0)\Ω(B2ρ(x0)).

Then for all 0 < rρ, there exists a constant c > 0 such that

w(x)exp(crρφF(x0,Ωc,t)dtt),

for any xBr(x0).

Proof. Denote Bi=B21iρ(x0). Fix 0 < rρ and let k be the integer with 2kρ < r ≤ 21−kρ.

Then write for i = 0, 1, 2, …

viR^1Bi+1\Ω(Bi)

and

aiφF(x0,Ωc,2iρ).

Since et ≥ 1 + t, estimate (4.5) yields that

vicai1exp(cai)   in Bi+1.

Thus, denoting m0 ≔ infB1 v0, we have

1m0exp(ca0).

Next, let D1B1\(B2¯Ωc) and

ψ1{1in B2¯Ωc,m0in D1.

Then we write u1R^ψ1(B1) be the balayage with respect to the ψ1 in B1. It immediately follows from the definition of balayage that

u1m01m0=R^B¯2Ωc1(B1)=v1.

Again, denoting m1inf B2u1, we obtain

1m1(1m0)exp(ca1)exp(c(a1+a0)).

Now iterate this step: let DiBi\(Bi+1¯Ωc) and

ψi={1in Bi+1¯Ωc,mi1in Di.

Denoting uiR^ψi(Bi) and miinf Bi+1ui, we have

uimi11mi1=vi

and so

1mi(1mi1)exp(cai)exp(cj=0iaj).

Furthermore, we claim that uiui+1 in Bi+1. Indeed, by Theorem 3.6, ui=H¯fi(Di) in Di where fiC(∂Di) is given by

fi={1in (Bi+1¯Ωc),mi1in Bi.

Thus, for u𝒰fi(Di), we have

lim inf Di+1yxu(y)1lim sup Di+1yxui+1(y)   for any x(Bi+2¯Ωc),
lim inf Di+1yxu(y)mi=lim sup Di+1yxui+1(y)   for any xBi+1.

Therefore, by the comparison principle, uui+1 in Di+1 and so ui=H¯fi(Di)ui+1 in Bi+1.

Repeating the argument above, we conclude that v0u1 ≥ ⋯ ≥ uk in Bk, which implies that

w=1v01uk1mkexp(cj=0kaj)in Bk+1.

Finally, the result follows from

rρφF(x0,Ωc,t)dttci=1kai,

which can be easily checked from the dyadic decomposition. Indeed, we can deduce from Lemma 3.11 and Lemma 3.14 that if ts ≤ 2t, then

capF(Bt¯\K,B2t)~capF(Bt¯\K,B2s),

where the comparable constant only depends on n, λ, Λ and these results also hold for capF˜(). □

Now we are ready to prove the sufficiency of the Wiener criterion, Theorem 1.2.

Proof of Theorem 1.2. Let x0Ω, ρ > 0 and define

wF,ρ1R^Bρ(x0)¯\Ω1,F(B2ρ(x0))   and   wF˜,ρ1R^Bρ(x0)¯\Ω1,F˜(B2ρ(x0)).

Then applying Lemma 4.5 for both functions, we have that for all 0 < rρ, there exist a constant c1, c2 > 0 such that

wF,ρ(x)exp(c1rρφF(x0,Ωc,t)dtt),
wF˜,ρ(x)exp(c2rρφF˜(x0,Ωc,t)dtt),

for any xBr(x0). Letting r → 0+, we conclude that

R^Bρ(x0)¯\Ω1,F(B2ρ(x0))(x0)=1=R^Bρ(x0)¯\Ω1,F˜(B2ρ(x0))(x0).

Since ρ > 0 can be arbitrarily chosen, an application of Lemma 3.21 yields that x0Ω is a regular boundary point. (Note that a boundary point x0 is F-regular if and only if it is F˜-regular; Corollary 2.25.) □

On the other hand, if additional information is imposed on the boundary data f, i.e. the boundary data f has its maximum (or minimum) at x0Ω, then we can deduce the continuity of the Perron solution at x0 under a relaxed condition:

Corollary 4.6. Suppose that fC(Ω) attains its maximum [resp. minimum] at x0Ω. Ifc is F-thick [resp. F˜-thick] at x0 Ω, then

limΩyx0H¯f(y)=f(x0)=limΩyx0H_f(y).

Proof. Similarly as in the proof of the previous theorem, this corollary is the consequence of Lemma 3.21 and Lemma 4.5. □

Furthermore, if the given boundary data fC(Ω) is resolutive, then we are able to obtain a quantitative estimate for the modulus of continuity.

Lemma 4.7 (The modulus of continuity). Suppose thatis an open and bounded subset of n. Let fC(Ω).

If x0with f(x0) = 0, then for 0 < rρ, we have

sup ΩrH_fFmax Ω2ρf+max Ωfexp(crρφF˜(x0,Ωc,t)dtt)

and

inf ΩrH¯fFmin Ω2ρf+min Ωfexp(crρφF(x0,Ωc,t)dtt)

wherer ≔ Ω ∩ Br(x0) and ∂2ρΩ ∩ B2ρ(x0).

Furthermore, if f is resolutive, then we have the quantitative estimate:

min Ω2ρf+min Ωfexp(crρφF(x0,Ωc,t)dtt)inf ΩrHfFsup ΩrHfFmax Ω2ρf+max Ωfexp(crρφF˜(x0,Ωc,t)dtt),

where HfFH¯fF=H_fF.

Proof. Let v=R^Bρ(x0)¯\Ω1,F˜(B2ρ(x0)) be the capacity potential of Bρ¯\Ω with respect to B2ρ.

Then let w ≔ 1 − v and write

swmax Ωf+max Ω2ρf.

Note that since we assumed f(x0) = 0, we have max f ≥ 0 and max Ω2ρf0. For ufF, u is F-subharmonic and s is F-harmonic in Ω2ρ. Moreover,

lim inf yxs(y)max Ω2ρflim sup yxu(y)   for any xΩB2ρ

and

lim inf yxs(y)max Ωflim sup yxu(y)   for any xΩB2ρ.

Thus, the comparison principle yields that su in Ω2ρ and so sH_fF in Ω2ρ.

On the other hand, let

s˜(1R^Bρ(x0)¯\Ω1,F(B2ρ(x0)))max Ω(f)+max Ω2ρ(f).

By the same argument, we derive s˜H_fF˜=H¯fF in 2ρ.

An application of Lemma 4.5 for w (and w˜) finishes the proof. □

Now we present a new geometric condition for a regular boundary point, namely the exterior corkscrew condition; see also [16, 28].

Definition 4.8. We say that Ω satisfies the exterior corkscrew condition at x0Ω if there exists 0 < δ < 1/4 and R > 0 such that for any 0 < r < R, there exists yBr(x0) such that Bδr(y)¯ΩcBr(x0).

Note that if Ω satisfies an exterior cone condition at x0Ω, then Ω satisfies an exterior corkscrew condition at x0. Thus, the following corollary obtained from the (potential theoretic) Wiener criterion is a generalized result of Theorem 2.26.

Corollary 4.9 (Exterior corkscrew condition). Suppose thatsatisfies an exterior corkscrew condition at x0Ω. Then x0 is a regular boundary point. Moreover, if f is Hölder continuous at x0 and is resolutive, then Hf is Hölder continuous at x0.

Proof. A small modification of Lemma 3.11 and its proof, we have

cap(Bδr(y)¯,B2r(x0))~1,   for δ(0,1/4) and Bδr(y)¯B2r(x0),

where the comparable constant depends only on n, λ, Λ and δ. Thus, if x0 satisfies an exterior corkscrew condition, then we have

01capF(Bt(x0)¯\Ω,B2t(x0))dtt01capF(Bδt(y)¯,B2t(x0))dtt1c01dtt=,
01capF˜(Bt(x0)¯\Ω,B2t(x0))dtt01capF˜(Bδt(y)¯,B2t(x0))dtt1c01dtt=,

and so x0 is a regular boundary point by the Wiener criterion.

Next, for the second statement, we may assume f(x0) = 0 by adding a constant for f, if necessary. Since f is resolutive, we can apply the quantitative estimate obtained in Lemma 4.7:

min Ω2ρf+min Ωfexp(crρφF(x0,Ωc,t)dtt)inf ΩrHfFsup ΩrHfFmax Ω2ρf+max Ωfexp(crρφF˜(x0,Ωc,t)dtt),

Here

  1. f is Hölder continuous at x0: there exists a constant C > 0 such that |f(x)| = |f(x) − f(x0)| ≤ C|xx0|γγ for x2ρ.

  2. Ω satisfies an exterior corkscrew condition at x0:
    exp(crρφF˜(x0,Ωc,t)dtt)exp(c1rρdtt)=(rρ)c1.

Thus, choosing ρ = r1/2, we conclude that the Perron solution Hf is Hölder continuous at x0. □

Remark 4.10 (Example). In this example, we suppose n = 2, F=𝒫λ,Λ+ with ellipticity constants 0 < λ < Λ. Then it immediately follows that

F˜=𝒫λ,Λ,   α*(F)=(n1)λΛ1<0,   α*(F˜)=(n1)Λλ1>0.

We consider a domain Ω=B1(0)\{0}2 and its boundary point 0 ∈ Ω.

  1. Since α*(F) < 0, we know that a single point has non-zero capacity. More precisely, recalling the homogeneous solution for F is given by
    V(x)=|x|1λΛ,
    there exists a constant c = c(λ, Λ) > 0 such that
    capF({0},B2t(0))=c.
    Therefore, we have
    0ρcapF({0},B2t(0))dtt=c0ρdtt=.

    In other words, Ωc is F-thick at 0.

  2. On the other hand, since α*(F˜)>0, we know that a single point is of capacity zero. Therefore, we have
    0ρcapF˜({0},B2t(0))capF˜(Bt(0)¯,B2t(0))dtt=0.

    In other words, Ωc is not F˜-thick at 0 and we cannot apply our Wiener’s criterion.

  3. Let f1C(Ω) is a boundarye data given by
    f1(x)={1if x=0,0if |x|=1.
    Then clearly the function u(x)=1|x|1λΛ=1V(x) is the solution for this Dirichlet problem. In particular, in this case, we have H¯f1=H_f1 (i.e. f1 is resolutive) and
    limΩx0Hf1(x)=1=f1(0).

    Alternatively, one can apply Corollary 4.6 to reach the same conclusion, since f1 attains its maximum at 0 and Ωc is F-thick at 0.

  4. Let f2C(Ω) is a boundary data given by
    f2(x)={1if x=0,0if |x|=1.

    Then since the zero function belongs to 𝒰f2, we have H¯f20. Moreover, since ε(1|x|(Λλ1))f2 for any ε > 0, we have H_f2ε(1|x|(Λλ1)). Letting ε → 0, we conclude H_f20.

    Therefore, we deduce that H¯f2=H_f2=0. Furthermore, it follows that
    limΩx0Hf2(x)=01=f2(0),
    which implies that 0 is an irregular boundary point for Ω.

5. A necessary condition for the regularity of a boundary point

In this section, we provide the necessity of the Wiener criterion, under additional structure on the operator F. Indeed, our strategy is to employ the argument made in [29] which proved the necessity of the p-Wiener criterion for p-Laplacian operator with p > n − 1. Since the assumption p > n − 1 was essentially imposed to ensure the capacity of a line segment is non-zero in [29], we begin with finding the corresponding assumptions in the fully nonlinear case.

Lemma 5.1. Suppose that F is convex and α*(F) > s for some s > 0. Let K be a compact subset in Br(n) such thats(K) < ∞, wheres is the s-dimensional Hausdorff measure. Then

capF(K)=0.

Proof. For any δ > 0, define

δs(K)inf iris,

where the infimum is taken over all countable covers of K by balls Bi with diameter ri not exceeding δ. Then since sup δ>0δs(K)=limδ0δs(K)=s(K)< and K is compact, for each δ ∈ (0, r), there exist finitely many open balls {Bi=Bri(xi)}i=1N such that ri < δ, i=1NBiK, and

i=1Nriss(K)+1<. (5.1)

Now we consider the homogeneous solution V(x)=|x|α*V(x|x|) of F. Here we may assume min|x|=1 V (x) = 1 by normalizing V. If we let Wi(x)riα*V(xxi), then it immediately follows that Wi is non-negative and F-superharmonic in n, and Wi(x) ≥ 1 on Bi.

Finally, we let Wi=1NWi(0). Since F is convex, W is F-superharmonic in n. Moreover, W ≥ 1 on i=1NBi and in particular, W ≥ 1 on K. Therefore, WΦK1(B4r) and so

capF(K,B4r)W(y0)rα*max |x|=1V(x)i=1Nriα*rα*max |x|=1V(x)(s(K)+1)δα*s,

where we used (5.1) and α* > s. Letting δ → 0, we finish the proof. □

Now we prove the partial converse statement of Lemma 5.1. Indeed, here we only consider the compact set K is given by a line segment L, whose Hausdorff dimension is exactly 1.

Lemma 5.2. Suppose that F is concave and α*(F) < 1. Let L = {x0 +se : arsbr} be a line segment in Br(x0), where e is an unit vector in n and 0 < a < b < 1 are constants satisfying ba<12. Then

capF(L,B2r)>0.

Proof. Note that since L is a line segment, for any δ > 0, one can cover L by open balls Bi = B3δ(xi), 1 ≤ iN(δ) where xiL, |xixj| ≥ 2δ whenever ij, and N(δ)~(ba)rδ. We write such cover by Kδi=1N(δ)Bi¯. Recalling Lemma 3.9 and its proof, for any ε > 0, there exist a sufficiently small δ > 0 and corresponding cover Kδ such that

capF(Kδ,B2r)capF(L,B2r)+ε.

If we denote B˜iBδ(xi) and K˜δ=i=1N(δ)Bi˜¯, then we have B˜i are pairwise disjoint and

capF(K˜δ,B2r)capF(L,B2r)+ε.

On the other hand, for simplicity, we suppose that the homogeneous solution V is given by

V(x)=|x|α*

and α*(F) ∈ (0, 1). Note that if α* < 0, then a single point has a positive capacity (Lemma 3.12) and the result immediately follows. Other cases can be shown by similar argument as in Lemma 5.1. For each i = 1, 2, ⋯ , N(δ), write

Wi(x)(|xxi|δ)α* and   W(x)=i=1N(δ)Wi(x).

Since F is concave, W is F-subharmonic in n\i=1N(δ){xi}.

  1. (On K˜δ) For yK˜δ, let y∂Bi for some i. Then for ji, we have
    |yxj||xixj||yxi|=|xixj|δ,
    and so
    W(y)2(1+2α*++N(δ)α*)2(1+2N(δ)1sα* ds)cN(δ)1α*.

    Here we used the condition α* < 1.

  2. (On ∂B2r) For z∂B2r,
    |zxi|2rbr=(2b)r,
    and so
    W(z)((2b)rδ)α*N(δ).

Therefore, for

W˜(x)W(x)((2b)rδ)α*N(δ)cN(δ)1α*,

we have

W˜is F-subharmonic in B\K˜δ,   W˜0 on B2r, and W˜1 on K˜δ.

Note that since K˜δ and B2r are regular domains, the capacity potential R^K˜δ1(B2r) satisfies:

R^K˜δ1(B2r)=0 on B2r,   and   R^K˜δ1(B2r)=1 on K˜δ.

Hence, the comparison principle yields that

R^K˜δ1(B2r)W˜   in B2r\K˜δ.

In particular, putting x=x0+32re, we conclude that

|xxi|3r/2ar=(32a)r,

and so

R^K˜δ1(B2r)(x0+32re)W˜(x0+32re)[((3/2a)rδ)α*((2b)rδ)α*]N(δ)cN(δ)1α*c1(ba)α*[(32a)α*(2b)α*].

Finally, by applying Harnack inequality for R^K˜δ1(B2r) on ∂B3r/2, we have

ε+capF(L,B2r)capF(K˜δ,B2r)c2(ba)α*[(32a)α*(2b)α*]>0.

Since ε > 0 is arbitrary, we finish the proof. □

The idea of the previous lemma can be modified to derive the ‘spherical symmetrization’ result:

Lemma 5.3 (Spherical symmetrization). Suppose that F is concave and α*(F) < 1. Let K be a compact subset in Br(x0) such that K meets S(t){xn:|xx0|=t} for all t ∈ (ar, br), where 0 < a < b < 1 are constants satisfying b<14. Then there exists a constant c = c(n, F, a, b) such that

capF(K,B2r)c(n,F,a,b)>0.

Proof. The proof is similar to the one of Lemma 5.2. By assumption, we can choose x(t)KS(t) for all t ∈ (ar, br). In particular, for small δ > 0, we define xix(ar+2δi) for i = 1, 2, ⋯ , N(δ) so that

ar+2δN(δ)<brar+2δ(N(δ)+1).

Note that N(δ)~(ba)rδ. Moreover, for δ > 0, we define a set Kδ by

Kδ=i=1N(δ)Bi¯,

where Bi=Bxi(δ). Again recalling Lemma 3.9 and its proof, for any ε > 0, there exists a sufficiently small δ > 0 such that

capF(Kδ,B2r)capF(K,B2r)+ε.

On the other hand, for simplicity, we suppose that the homogeneous solution V is given by

V(x)=|x|α*

and α*(F) ∈ (0, 1). For each i = 1, 2, ⋯ , N(δ), write

Wi(x)(|xxi|δ)α* and   W(x)=i=1N(δ)Wi(x).

Since F is concave, W is F-subharmonic in n\i=1N(δ){xi}.

  1. (On ∂Kδ) For y∂Kδ, let y∂Bi for some i. Then for ji, we have
    |yxj||xixj||yxi|=|xixj|δ2|ij|δδ,
    and so
    W(y)2(1+2α*++N(δ)α*)2(1+2N(δ)1sα* ds)cN(δ)1α*.

    Here we used the condition α* < 1.

  2. (On ∂B2r) For z∂B2r,
    |zxi|2rbr=(2b)r,
    and so
    W(z)((2b)rδ)α*N(δ).

Therefore, for

W˜(x)W(x)((2b)rδ)α*N(δ)cN(δ)1α*,

we have

W˜ is F-subharmonic in B\Kδ,   W˜0 on B2r, and W˜1 on Kδ.

Note that since Kδ and B2r is regular domains, the capacity potential R^Kδ1(B2r) satisfies:

R^Kδ1(B2r)=0 on B2r,   and   R^Kδ1(B2r)=1 on Kδ.

Hence, the comparison principle yields that

R^Kδ1(B2r)W˜   in B2r\Kδ

In particular, putting x=x0+32re1, we conclude that

|xxi|3r/2+br=(32+b)r,

and so

R^Kδ1(B2r)(x0+32re1)W˜(x0+32re1)[((3/2+b)rδ)α*((2b)rδ)α*]N(δ)cN(δ)1α*c1(ba)α*[(32+b)α*(2b)α*].

Hence,

ε+capF(K,B2r)capF(Kδ,B2r)c2(ba)α*[(32+b)α*(2b)α*]>0.

Since ε > 0 is arbitrary, we finish the proof. □

Let E be a regular set in a ball B2r. Let u=R^E1(B2r) be the capacity potential. For γ ∈ (0, 1), let

Aγ={xB2r:u(x)<γ}.

Lemma 5.4. Suppose that F is concave and α*(F) < 1. Then, there exists a constant c1 > 0 depending only on n, λ, Λ such that: if

γc1capF(E,B2r),

then the set Aγ contains a sphere S(t){xn:|xx0|=t} for some t ∈ (r/10, r/5).

Proof. For 0 < γ < 1, let Eγ ≔ {xB2r : u(x) ≥ γ}. We argue by contradiction: suppose that Aγ does not contain any S(t) for t ∈ (r/10, r/5). Then the set Eγ meets S(t) for all t ∈ (r/10, r/5) and we have

capF(Eγ,B2r)c(n,F)>0,

by employing Lemma 5.3 for a = 1/10 and b = 1/5.

On the other hand, by Lemma 4.3, we have

capF(Eγ,B2r)=1γcapF(E,B2r).

Combining two estimates above, we obtain

γ1c(n,F)capF(E,B2r).

Therefore, by choosing c1=1c(n,F)+1, we arrive at a contradiction. □

Now we are ready to prove the necessity of the Wiener criterion, Theorem 1.3.

Proof of Theorem 1.3. For simplicity, we write Br = Br(x0). Suppose that Ωc is not F-thick at x0Ω, i.e.

01capF(Bt¯\Ω,B2t)dtt<.

For ε > 0 to be determined, choose r1 > 0 small enough so that

0r1capF(Bt¯\Ω,B2t)dtt<ε.

Set ri+1 = ri/2 and

ai=capF(Bri¯\Ω,B2ri).

Applying Lemma 3.14,

i=2aic0(n,λ,Λ)ε.

Next, by Lemma 2.27 and Lemma 3.9, for each i, choose a regular domain Ei such that Bri¯\ΩEi and

bicapF(Ei,B2ri)<ai+ε2i.

Then we have

i=2bi(c0+1)ε

and so bi ≤ (c0 +1)ε for i = 2, 3, ⋯ . Moreover, let uiR^Ei1(B2ri) be the capacity potential. By Lemma 5.4, for γi = c1 · bi, the set

Ai={xB2ri:ui(x)<γi}

contains S(ti) for some ti ∈ (ri/10, ri/5). Now by selecting ε=12(c0+1)c1>0, we have γi < 1. In particular, since u2 = 1 on E2 and S(t2) ⊂ A2, we conclude that S(t2) ⊂ Ω.

Next, let fC(Ω) be the boundary function defined by

f(x)={1if xBt2Ω,0if xΩ\Bt2.

Then we have the following results for the lower Perron solution H_f=H_f(Ω):

  1. H_f1: Choose r > 0 large enough so that Ω ⊂ Br. Moreover, set a domain Ω0Br\(Bt2Ω) and a boundary function f0C(0) by
    f0(x)={1if xBt2Ω,0if xBr.

    Then since Br is regular, we have H¯f0(Ω0)<1 in Br\Bt2. On the other hand, for any v ∈ ℒf(Ω) and w𝒰f0(Ω0), one can check that vw in Ω using the comparison principle.

    Therefore, we conclude that H_f(Ω)H¯f0(Ω0) and so H_f(Ω)1.

  2. max S(t2)H_f=:M<1: This is an immediate consequence of the strong maximum principle for H_f and part (i).

For uH_fM1M which is F-harmonic in Ω and u ≤ 0 in S(t2), we claim that

lim inf Ωxx0u(x)<12. (5.2)

Indeed, since S(t2)Br3 and E3 is a regular domain, we have

u(x)0lim inf yxu3(y)   for any xBt2=S(t2),
lim sup yxu(y)1=lim inf yxu3(y)   for any xE3.

Thus, the comparison principle yields that uu3 in Bt2\E3. In particular, since S(t3) ⊂ A3, we observe that

uu3<γ3   on S(t3).

Iterating this argument (for example, consider uγ3 instead of u), we conclude that

uk=3iγkk=3γk=c1k=3bic1(c0+1)ε=12   on each S(ti),

which leads to (5.2).

Finally, recalling the definition of u, the estimate (5.2) is equivalent to

lim inf Ωxx0H_f(x)<1=f(x0),

which implies that x0Ω is an irregular boundary point. □

Acknowledgement:

Ki-Ahm Lee was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT): NRF-2021R1A4A1027378. Se-Chan Lee is supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2022R1A6A3A01086546).

Contributor Information

KI-AHM LEE, Department of Mathematical Sciences and Research Institute of Mathematics, Seoul National University, Seoul 08826, Korea..

SE-CHAN LEE, Research Institute of Mathematics, Seoul National University, Seoul 08826, Korea..

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