Research article

On the obstacle problem in fractional generalised Orlicz spaces

  • Received: 07 July 2024 Revised: 28 August 2024 Accepted: 04 September 2024 Published: 12 September 2024
  • We consider the one and the two obstacles problems for the nonlocal nonlinear anisotropic g-Laplacian Lsg, with 0<s<1. We prove the strict T-monotonicity of Lsg and we obtain the Lewy-Stampacchia inequalities FLsguFLsgψ and FLsgφLsguFLsgψ, respectively, for the one obstacle solution uψ and for the two obstacles solution ψuφ, with given data F. We consider the approximation of the solutions through semilinear problems, for which we prove a global L-estimate, and we extend the local Hölder regularity to the solutions of the obstacle problems in the case of the fractional p(x,y)-Laplacian operator. We make further remarks on a few elementary properties of related capacities in the fractional generalised Orlicz framework, with a special reference to the Hilbertian nonlinear case in fractional Sobolev spaces.

    Citation: Catharine W. K. Lo, José Francisco Rodrigues. On the obstacle problem in fractional generalised Orlicz spaces[J]. Mathematics in Engineering, 2024, 6(5): 676-704. doi: 10.3934/mine.2024026

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  • We consider the one and the two obstacles problems for the nonlocal nonlinear anisotropic g-Laplacian Lsg, with 0<s<1. We prove the strict T-monotonicity of Lsg and we obtain the Lewy-Stampacchia inequalities FLsguFLsgψ and FLsgφLsguFLsgψ, respectively, for the one obstacle solution uψ and for the two obstacles solution ψuφ, with given data F. We consider the approximation of the solutions through semilinear problems, for which we prove a global L-estimate, and we extend the local Hölder regularity to the solutions of the obstacle problems in the case of the fractional p(x,y)-Laplacian operator. We make further remarks on a few elementary properties of related capacities in the fractional generalised Orlicz framework, with a special reference to the Hilbertian nonlinear case in fractional Sobolev spaces.



    It is well known that the obstacle problem can be formulated in the form of a variational inequality

    uKs:LsguF,vu0,vKs, (1.1)

    for FWs,G:(Ω) and for the closed convex sets of one or two obstacles Ks=Ks1, Ks2 defined, respectively, by

    Ks1={vWs,G:0(Ω):vψ a.e. in Ω},
    Ks2={vWs,G:0(Ω):ψvφ a.e. in Ω},

    with given functions ψ,φWs,G:(Rd), supposing Ks1, for which it is sufficient to assume ψ0 a.e. in RdΩ, and Ks2, by assuming in addition that φ0 a.e. in RdΩ.

    In this work, we consider nonlocal nonlinear anisotropic operators of the g-Laplacian type

    Lsg:Ws,G:0(Ω)Ws,G:(Ω),

    in Lipschitz bounded domains ΩRd, as defined in [11,13,14] by

    Lsgu,v=RdRdg(x,y,|δsu(x,y)|)δsu(x,y)δsv(x,y)dxdy|xy|d, (1.2)

    where , denotes the duality between Ws,G:0(Ω) and its dual space Ws,G:(Ω)=[Ws,G:0(Ω)], for the fractional generalised Orlicz space Ws,G:0(Ω) associated with the nonlinearity g(x,y,||), which we will define in Section 2.1, and δs is the two points finite difference s-quotient, with 0<s<1,

    δsu(x,y)=u(x)u(y)|xy|s.

    Here, g(x,y,r):Rd×Rd×R+R+ is a positive measurable function, Lipschitz continuous in r, such that, for almost every x,y,

     limr0+rg(x,y,r)=0,limr+rg(x,y,r)=+

    satisfying

    0<grg(x,y,r)g(x,y,r)+1g, for r>0, (1.3)

    for some constants 0<gg, as in [7,17], and we set

     G:(x,y,r)=r0g(x,y,ρ)ρdρ.

    Therefore Lsg includes various nonlocal operators, as follows:

    ● When g(x,y,r)=g(r), we have the isotropic nonlinear nonlocal operator

    RdRdg(|δsu(x,y)|)δsu(x,y)δsv(x,y)dxdy|xy|d, (1.4)

    which corresponds to the fractional Orlicz-Sobolev case [20] and, when g=1 is constant, includes the fractional Laplacian

    (Δ)su,v=RdRd(u(x)u(y))(v(x)v(y))|xy|d+2sdxdy. (1.5)

    ● The anisotropic fractional p-Laplacian Lsp, for 1<p<p(x,y)<p< (see e.g., [8,10]), corresponding to g(x,y,r)=K(x,y)|r|p(x,y)2 and defined through

    Lspu,v=RdRd|u(x)u(y)|p(x,y)2(u(x)u(y))(v(x)v(y))|xy|d+sp(x,y)K(x,y)dxdy, (1.6)

    where K(x,y):Rd×RdR is a measurable function satisfying

    K(x,y)=K(y,x) and kK(x,y)k, for a.e. x,yRd (1.7)

    for some k,k>0. In the linear case where p=2, we have the symmetric linear anisotropic fractional Laplacian (see e.g., [36,48]).

    ● The fractional double phase operator Lsp,q corresponding to

    g(x,y,r)=K1(x,y)|r|p2+K2(x,y)|r|q2,

    or the logarithmic Zygmund operator with

    g(x,y,r)=K1(x,y)|r|p2+K2(x,y)|r|p2|log(|r|)|,

    with K1,K2 satisfying (1.7) (see, for instance, Example 2.3.2 of [16] for other N-functions).

    ● We may also consider the special case of anisotropic operators of the type (1.2) with a strictly positive and bounded function g(x,y,r) satisfying, in addition to (1.3),

    0<γg(x,y,r)γ, (1.8)

    for a.e. x,y and for all r, which corresponds to the Hilbertian framework Hs0(Ω) as in Chapter 5 of [35].

    We aim to extend the results of [36] for linear fractional operators in the Sobolev space Hs0(Ω), to the general class anisotropic nonlocal nonlinear operators Lsg. We show that these operators also satisfy the strict T-monotonicity property, which is instrumental for comparison properties in the Dirichlet problem and in the obstacle problems, in the approximation of the solutions of the obstacle problem by monotone bounded penalisations, as well as, through the Lewy-Stampacchia inequalities, we extend the classical criteria for the regularity of their solutions, including the Hölder continuity, by applying directly the known regularity theory for the associated equations. Therefore we also include a brief survey of some recent results for the solutions to the quasilinear fractional Dirichlet problem and we prove a new result on the global boundedness of their solutions. We complete our work with new remarks on the fractional s-capacity of subsets of Ω with respect to the operator Lsg, in particular, in the special Hilbertian case of strictly coercive and Lipschitz continuous anisotropic quasilinear operators satisfying (1.8), where we compare with the s-capacity associated with the fractional Laplacian, so that we extend also to the nonlinear fractional framework the classical notion introduced by Stampacchia [53] for linear partial differential operator of second order.

    This paper has the following plan:

    2 – Preliminaries

    2.1 – The fractional generalised Orlicz functional framework

    2.2 – The quasilinear fractional Dirichlet problem

    3 – Quasilinear fractional obstacle problems

    3.1 – T-monotonicity and comparison properties

    3.2 – Lewy-Stampacchia inequalities for obstacle problems

    4 – Approximation by semilinear problems and regularity

    4.1 – Approximation via bounded penalisation

    4.2 – Regularity in obstacle problems

    5 – Capacities

    5.1 – The fractional generalised Orlicz capacity

    5.2 – The s-capacity in the Hs0(Ω) Hilbertian nonlinear framework

    In Section 2, after introducing the fractional generalised Orlicz functional framework for the operator Lsg, we recall some basic properties from the literature, as a Poincaré type inequality and some embedding results, in particular, in some fractional Sobolev-Gagliardo spaces. Then we state the existence of a unique variational solution to the homogeneous Dirichlet problem, which is a natural consequence of the assumptions on g and the symmetry of the operator Lsg and we prove a new global L(Ω) estimate, by using the truncation method used in [33] for the anisotropic fractional Laplacian. This global L(Ω) bound was obtained previously in the isotropic case of g(x,y,r)=g(r) with G satisfying the Δ condition (which is stronger than the Δ2 condition) in Corollary 1.7 of [12], as well as Theorem 3 of [22], where these authors considered a different class of G, namely G is such that ˉg is convex and g1 in (1.3). For the definitions of Δ2 and Δ, see below Paragraph 2.1 and Remark 2.12 and the references [24,31] for more details on N-functions. We also collect some known regularity results with the aim to extend them to the solutions of the one and the two obstacles problems.

    In Section 3, we first show that the structural assumption (1.3) implies that the Lsg is a strictly T-monotone operator in Ws,G:0(Ω). This fact easily implies the monotonicity of the solution of the Dirichlet problem with respect to the data, extending and unifying previous results already known in some particular cases of g. This important property has interesting consequences in unilateral problems of obstacle type also in this generalised fractional framework: Comparison of solution with respect to the data and a continuous dependence of the solutions in L with respect to the L variation of the obstacles; and more important, it also implies the Lewy-Stampacchia inequalities to this more general nonlocal framework, extending [23,49] in the one obstacle case and are new in the nonlocal two obstacles problem.

    In the case when the heterogeneous term f is in a suitable generalised Orlicz space, in Section 4, we give a direct proof of the Lewy-Stampacchia inequalities showing then that Lsgu is also in the same Orlicz space. We also prove important consequences to the regularity of the solutions; and, in the case of integrable data, the approximation of the solutions via bounded penalisation.

    Finally, in Section 5, exploring the natural relation of the obstacle problem and potential theory, we make some elementary remarks on the extension of capacity to the fractional generalised Orlicz framework associated with the operator Lsg, motivating interesting open questions that are beyond the scope of this work. We refer to the recent work [9], and its references, for the extension of the Sobolev capacity to generalised Orlicz spaces in the local framework of the gradient. We conclude this paper in the Hilbertian case of the anisotropic nonlinear operator (1.5), with a few extensions relating the obstacle problem and potential theory, in the line of the pioneering work of Stampacchia [53] for bilinear coercive forms, which was followed, for instance, in [1] and, in the nonlinear classical framework in [4] and extended to the linear nonlocal setting in [36].

    In recent years, there has been relevant progress in the study of PDEs in generalised Orlicz spaces including the obstacle problem (see, [16,25,26] and their references), and also nonlocal operators in fractional generalised Orlicz spaces, also called fractional Musielak-Sobolev spaces, [6,7,17,43]. The associated nonlocal elliptic equations in fractional generalised Orlicz spaces or the less general Orlicz-Sobolev spaces have also been extensively studied [11,12,13,14,20,21,22,39], including existence and regularity results, embedding and extension properties, local Hölder continuity, Harnack inequalities, and uniform boundedness properties. The associated unilateral problems have also been considered. Previous works along this line have only considered the fractional anisotropic p-Laplacian Lsp in obstacle problems [30,42,44,45]. In this work, we consider the more general case of the anisotropic nonlocal nonlinear g-Laplacian Lsg in generalised fractional Orlicz spaces, and we obtain new results for the associated obstacle problems.

    Although we have considered only the nonlocal nonlinear anisotropic operators of the g-Laplacian type defined in the whole Rd by (1.2), most of our results still hold in the different case in which the definition of the g-Laplacian type operator where the integral is instead taken only over the domain Ω as in [18,28].

    In this section we collect some known but dispersed facts, which can be found in the books [16,24,31,38], needed to develop our main results. After setting the functional framework of the fractional generalised Orlicz spaces we compile some relevant results on the fractional nonlinear Dirichlet problem in different cases.

    Let the mapping ˉg:Rd×Rd×R+R be defined by

    ˉg(x,y,r)=g(x,y,r)r.

    Then, with g defined in the introduction, ˉg satisfies the following condition:

    (1) ˉg(x,y,):Rd×Rd×R+R is a strictly increasing homeomorphism from R+ onto R, ˉg(x,y,r)>0 when r>0.

    Moreover, its primitive G:=G(x,y,r):Rd×Rd×R+R+ defined for all r0 and a.e. x,y, by

    G(x,y,r)=r0ˉg(x,y,ρ)dρ

    satisfies (see [3] or [31]).

    (2) G(x,y,):[0,[R is an increasing function, G(x,y,0)=0 and G(x,y,r)>0 whenever r>0.

    (3) For the same constants g<g as in (1.3),

    0<1+grˉg(x,y,r)G(x,y,r)g+1, a.e. x,yRd,r0. (2.1)

    (4) G: satisfies the Δ2-condition, i.e., G:(2t)CG:(t) for t>0 and a.e. x,y, with a fixed C>0.

    The assumption (1.3) means that G: is a strictly convex function for a.e. x,y, and we denote

    G:=G(x,y,r):Rd×Rd×R+R+

    as the conjugate convex function of G:, which is defined by

    G(x,y,r)=supρ>0{rρG(x,y,ρ)},x,yRd,r0.

    In the example

    G(x,y,r)=1p(x,y)|r|p(x,y)

    corresponding to the anisotropic fractional p-Laplacian (1.6), we have

    G(x,y,r)=1p(x,y)|r|p(x,y)

    with 1p(x,y)+1p(x,y)=1, for each x,yRd.

    Given the function G:, we can subsequently define the modulars ΓˆG and Γs,G for 0<s<1 and u extended by 0 outside Ω, following [20], by

    ΓˆG(u)=RdˆG(|u(x)|)dx,
    Γs,G:(u)=RdRdG:(|δsu|)dxdy|xy|d with 0<s<1,

    where we denote

    ˆG(r)=G(x,x,r),

    which also satisfies the global Δ2-condition.

    We define the corresponding generalised Orlicz spaces and generalised fractional Orlicz-Sobolev spaces

    LˆG(Rd)={u:RdR,measurable:ΓˆG(u)<},
    Ws,G:(Rd)={uLˆG(Rd):Γs,G:(u)<}

    with their corresponding Luxemburg norms (see, for instance, Chapter 8 of [3] or Chapter 2 of [41]), given by

    uG=uLˆG(Rd)=inf{λ>0:ΓˆG(uλ)1}

    and

    us,G=uWs,G:(Rd)=uG+[u]s,G,

    where

    [u]s,G=inf{λ>0:Γs,G:(uλ)1}.

    In this framework, with the above assumptions, it is well known that LˆG(Rd) and Ws,G:(Rd) are reflexive Banach spaces by the Δ2-condition (refer to Theorem 11.6 of [41]). On the other hand, as in Lemmas 3.1 and 3.3 of [6]), we can show that the functional Γs,G:C1(Ws,G:(Rd),R), which is strictly convex, is also weakly lower semi-continuous.

    We define

    Ws,G:0(Ω)=¯Cc(Ω)s,G

    with dual [Ws,G:0(Ω)]=Ws,G:(Ω), as G: satisfies the Δ2-condition (see Sections 3.3 and 3.5 of [16]), and we consider each function vWs,G:0(Ω) defined everywhere in Rd by setting v=0 in RdΩ. Furthermore, by Lemma 2.5.5 of [38], Cc(Ω) is dense in C(Ω)LˆG(Ω).

    We denote by ˆG1(r)=G1(x,x,r) the inverse function of ˆG for almost all x, which satisfies the following conditions:

    10ˆG1(t)t(d+s)/ddt< and 1ˆG1(t)t(d+s)/ddt=, for almost all xΩ. (2.2)

    Then, the inverse generalised Orlicz conjugate function of ˆG is defined as

    (˜G)1(r)=r0ˆG1(t)t(d+s)/ddt, for almost all xΩ. (2.3)

    Then, by Theorem 2.1 of [7], the embeddings Ws,G:0(Ω)L˜G(Ω) and [L˜G(Ω)]Ws,G:(Ω) hold for the bounded open subset ΩRd with Lipschitz boundary. For any FWs,G:(Ω) and uWs,G:0(Ω), we denote their inner product by ,. As ˜G also satisfies the Δ2-condition, we have [L˜G(Ω)]=LˆG(Ω) and so when F=fLˆG(Ω), then

    f,u=Ωfudx,uL˜G(Ω). (2.4)

    Furthermore, we have a Poincaré type inequality, as a simple consequence of [7, Theorem 2.3]:

    Lemma 2.1. Let s]0,1[ and Ω be a bounded open subset of Rd with a Lipschitz bounded boundary. Then there exists a constant C=C(s,d,Ω)>0 such that

    uLˆG(Ω)C[u]s,G:

    for all uWs,G:0(Ω). Therefore, the embedding

    Ws,G:0(Ω)LˆG(Ω) (2.5)

    is continuous. Furthermore, [u]s,G is an equivalent norm to us,G for the fractional generalised Orlicz space Ws,G:0(Ω).

    Remark 2.2. Note that in the bounded open set Ω, the spaces we consider here are different from the Ws,Gxy(Ω) spaces considered in [6,7,17], defined by

    Ws,Gxy(Ω)={uLˆGx(Ω):Φs,Gxy(u)<}

    where, for 0<s<1,

    Φs,Gxy(u)=ΩΩGxy(|δsu|)dxdy|xy|d

    with Gxy:Ω×Ω×R+R+ is defined only for a.e. (x,y)Ω×Ω with similar properties to our G::Rd×Rd×R+R+. We noticed that by Remark 2.2 of [6]] it is known

    Cc(Ω)C2c(Ω)Ws,Gxy(Ω).

    Since the spaces we consider are, in a certain sense, smaller than the Ws,Gxy(Ω) spaces, as Ws,G:0(Ω)Ws,Gxy0(Ω) the embedding results in [6,7,17] still hold, as Lemma 2.1 above.

    Observe that the space L˜Gx(Ω) defined with

    ΦˆGx(u)=ΩˆGx(|u(x)|)dx

    for ˆGx(x)=Gxy(x,x) is the same as L˜G(Ω).

    Remark 2.3. In the case Ω=Rd, Ws,G:(Rd) and Ws,Gxy(Rd) coincide.

    Although the following two properties on the generalised fractional Orlicz spaces are not directly used in this work, it is worthwhile to register them, as they are natural extensions of similar properties of the fractional Sobolev-Gagliardo spaces.

    Lemma 2.4. ● [43, Theorem 3.3] Cc(Rd) is dense in Ws,G:(Rd), so Ws,G:(Rd)=Ws,G:0(Rd).

    ● [7, Proposition 2.1] For a bounded open subset ΩRd and 0<s1ss2<1, the embeddings

    Ws2,G:0(Ω)Ws,G:0(Ω)Ws1,G:0(Ω)

    are continuous.

    Furthermore, for bounded domains ΩRd,

    Lg+1(Ω)LˆG(Ω)Lg+1(Ω), (2.6)

    which is also a consequence of Theorem 8.12 (b) of [3] and the inequality

    log(r1+g)log(r1+g0)=rr01+grdrrr0ˉg(x,y,r)G(x,y,r)dr=log(G(x,y,r))log(G(x,y,r0))log(r1+g)log(r1+g0)

    that holds for every 0<r0<r, by assumption (2.1). In fact, this means G(x,y,r) dominates rg+1 and is dominated by rg+1 as r and the embeddings (2.6) follow.

    We recall the definition of the fractional Sobolev-Gagliardo spaces Ws,p0(Ω) as the closure of Cc(Ω) in

    Ws,p(Ω)={uLp(Ω):[u]ps,p,Ω=ΩΩ|u(x)u(y)|p|xy|spdxdy|xy|d<}.

    Then, we have

    Proposition 2.5. [7, Lemma 2.3] For any 0<s<1 and ΩRd open bounded subset,

    Ws,G:0(Ω)Wt,q0(Ω)for any 0<t<s,1q<1+g. (2.7)

    In addition, combining the embedding (2.7) and the classical Rellich-Kondrachov compactness embedding, we have Wt,q0(Ω)Lq(Ω) with q satisfying

    1q<dqdtq<d(g+1)ds(g+1).

    Observe that it is necessary that s(g+1)<d. This embedding result is given as follows:

    Corollary 2.6. Ws,G:0(Ω)Lq(Ω) with q satisfying

    1q<d(g+1)ds(g+1).

    Remark 2.7. Observe that in the functional framework of the strong assumption (1.8) the norm of the Banach space Ws,G:0(Ω) is equivalent to the one of the fractional Sobolev space Hs0(Ω)=Ws,20(Ω), which is a Hilbert space, while Ws,G:0(Ω) is not.

    Recalling that G: is a strictly convex and differentiable function in r for a.e. x,y, we can regard Lsg as the potential operator with respect to the convex functional

    Γs,G:(v)=RdRdG:(|δsv|)dxdy|xy|d. (2.8)

    As a consequence of well known results of convex analysis, there exists a unique solution to the Dirichlet problem, given formally by Lsgu=F in Ω, u=0 in Ωc.

    Proposition 2.8. [17, Proposition 4.6] Let 0<s<1 and ΩRd be a bounded domain. For FWs,G:(Ω), there exists a unique variational solution uWs,G:0(Ω) to

    Lsgu,v=F,vvWs,G:0(Ω), (2.9)

    which is equivalent to the minimum over Ws,G:0(Ω) of the functional Gs:Ws,G:0(Ω)R defined by

    Gs(v)=RdRdG:(|δsv|)dxdy|xy|dF,vvWs,G:0(Ω). (2.10)

    In the next theorem we extend the global boundedness of the solutions for the anisotropic Dirichlet problem, under the uniform assumption (1.3) on g.

    Theorem 2.9. Suppose F=fLm(Ω), with m>ds(g+1) and g satisfies (1.3) with s(g+1)<d. Let u denote the solution of the Dirichlet problem (2.9). Then there exists a constant C, depending only on g, g, k, k, d, Ω, uWs,G:0(Ω), fLm(Ω) and s, such that

    uL(Ω)C.

    The proof extends the one given in Section 3.1.2 of [33]. It uses the following numerical iteration estimate, the proof of which is given in Lemma 4.1 of [53].

    Lemma 2.10. Let Ψ:R+R+ be a nonincreasing function such that

    Ψ(h)M(hk)γΨ(k)δ,h>k>0,

    where M,γ>0 and δ>1. Then Ψ(d)=0, where

    dγ=MΨ(0)δ12δγδ1.

    Next, we introduce the truncation function Tk and its complement Pk defined as

    Tk(u)=k(ku),Pk(u)=uTk(u), for every k0,

    which will be useful for the proof.

    Given the above definitions of Tk and Pk, it is straightforward to see (by considering the cases of v(x),v(y) k and k) that

    [Tk(v(x))Tk(v(y))][Pk(v(x))Pk(v(y))]0, a.e. in Ω×Ω. (2.11)

    As a result, we have under the assumptions of this theorem, the following lemma.

    Lemma 2.11. Take vWs,G:0(Ω). If Ψ:RR is a Lipschitz function such that Ψ(0)=0, then Ψ(v)Ws,G:0(Ω). In particular, for any k0, Tk(v),Pk(v)Ws,G:0(Ω), and

    (g+1)Γs,G:(Pk(v))Lsgv,Pk(v).

    Proof. We first show the regularity of Tk(v) and Pk(v). Let λΨ>0 be the Lipschitz constant of Ψ. As such, for x,y in Rd,xy,

    |δsΨ(v)(x,y)|=|Ψ(v(x))Ψ(v(y))||xy|sλΨ|v(x)v(y)||xy|s=λΨ|δsv(x,y)|.

    Since rrg(,,r) is monotone increasing, as a result of the assumption (1.3), we have that

    |δsΨ(v)|g(x,y,|δsΨ(v)|)|λΨδsv|g(x,y,|λΨδsv|)

    for a.e. x,y in Rd, and so

    (g+1)Γs,G:(Ψ(v))RdRdg(x,y,|δsΨ(v)|)|δsΨ(v)|2dxdy|xy|dRdRdg(x,y,|λΨδsv|)|λΨδsv|2dxdy|xy|d(g+1)λ2ΨΓs,G:(λΨv) (2.12)

    by (2.1). Then, the regularity of Tk(v) and Pk(v) follows since Tk and Pk are Lipschitz functions with Lipschitz constant 1.

    Finally we consider Lsgv,Pk(v). Since Pk is a monotone Lipschitz function with Lipschitz constant 1, we can apply a similar argument as above to obtain that

    Lsgv,Pk(v)=RdRdg(x,y,|δsv|)δsvδsPk(v)dxdy|xy|dRdRdg(x,y,|δsPk(v)|)δsPk(v)δsvdxdy|xy|d=LsgPk(v),v,

    since g is non-negative and

    δsvδsPk(v)=Pk(v(x))Pk(v(y))|xy|sv(x)v(y)|xy|s=(Pk(v(x))Pk(v(y)))2+(Tk(v(x))Tk(v(y)))(Pk(v(x))Pk(v(y)))|xy|2s(Pk(v(x))Pk(v(y)))2|xy|2s>0,

    by recalling that v=Tk(v)+Pk(v) as well as using the estimate (2.11). Using this inequality, we therefore have

    Lsgv,Pk(v)LsgPk(v),v=RdRdg(x,y,|δsPk(v)|)δsPk(v)δsvdxdy|xy|dRdRdg(x,y,|δsPk(v)|)(Pk(v(x))Pk(v(y)))2dxdy|xy|d+2s,

    hence the desired result by (2.12).

    Making use of the above estimates, we prove the uniform boundedness of the unique solution to the nonlinear Dirichlet problem.

    Proof of Theorem 2.9. We take Pk(u) to be the test function in the variational formulation of (2.9). Combining this with the previous lemma, we easily obtain that

    (g+1)Γs,G:(Pk(u(x)))Lsgu(x),Pk(u(x))=Akf(x)Pk(u(x))dx,

    where Ak={xΩ:uk}.

    To estimate the left-hand-side, we make use of the inclusion of Ws,G:(Ω)Wt,q(Ω) spaces. Then

    Γs,G:(Pk(u(x)))CPk(u(x))qWt,q0(Ω)CPk(u(x))qLq(Ω)

    for an embedding constant C and exponent q=1+gϵ of (2.7) for some small ϵ>0, and Sobolev embedding constants C/C and t,q of Corollary 2.6 (see, for instance, Theorem 6.5 of [19]).

    To estimate the right-hand-side, we apply the Hölder's inequality. Then, for any m>0, we have

    |Akf(x)Pk(u(x))dx|fLm(Ω)Pk(u(x))Lq(Ω)|Ak|11q1m.

    Combining these estimates with the crucial observation that for any h>k, AhAk and Pk(u)χAhhk, we obtain that

    (hk)|Ah|gϵq1kC(g+1ϵ)fLm(Ω)|Ak|11q1m,

    or

    |Ah|C(hk)qgϵfqgLm(Ω)|Ak|qgϵ(11q1m)

    for a constant C>0.

    Finally, observe that for m>ds(g+1),

    qgϵ(11q1m)>1

    for large enough q and small enough ϵ>0. Therefore, the assumptions of Lemma 2.10 above are all satisfied, and we can take Ψ(h)=|Ah| in Lemma 2.10 to obtain that there exists a k0 such that Ψ(k)0 for all kk0, thus esssupΩuk0.

    Remark 2.12. Note that the assumption (1.3) implies that G: satisfies the Δ2 condition, which is weaker than the Δ condition given by

    G:(rt)CG:(r)G:(t), for r,t>0 and some C>0, (2.13)

    and used in the L-estimate in [12].

    Recently in the case of the fractional p(x,y)-Laplacian an interesting local Hölder regularity result for the solution of the Dirichlet problem has been proved, extending previous results in the case of constant p. Here Cα(ω) denotes the space of Hölder continuous functions in ω for some 0<α<1.

    Theorem 2.13. Let F=fL(Ω). Suppose g(x,y,r) is of the form |r|p(x,y)2K(x,y) as in the fractional p-Laplacian Lsp in (1.6) for 1<pp(x,y)p+<, and K satisfies (1.7), with p(,) and K(,) symmetric.

    (a) Suppose further that p(x,y) is log-Hölder continuous on the diagonal D={(x,x):xΩ}, i.e.,

    sup0<r1/2[log(1r)supBrΩsupx2,y1,y2Br|p(x1,y1)p(x2,y2)|]C,for some C>0.

    Then, the solution u of the Dirichlet problem (2.9) is locally Hölder continuous, i.e.,

    uCα(Ω) for some 0<α<1.

    (b) In the case where p=p+=p, the solution u of (2.9) is globally Hölder continuous and satisfies

    uCα(ˉΩ)such thatuCα(ˉΩ)Cs (2.14)

    for some 0<α<1 depending on d, p, s, g, g, k, k and fL(Ω).

    Remark 2.14. Part (a) of this result is given in Theorem 1.2 of [42].

    Part (b), when p is constant and the anisotropy is in the kernel K, is the result given in Theorem 8 of [44] or Theorem 6 of [30], and extended in Theorem 1.3 of [45] to the Heisenberg group.

    Recalling that L(Ω)LˆG(Ω) by (2.6), next we compile the following known regularity results for the Dirichlet problem for the operator Lsg under the more restrictive assumption on G being isotropic, i.e., in the Orlicz-Sobolev case.

    Theorem 2.15. Let u be the solution of the Dirichlet problem (2.9). Suppose g is isotropic, i.e., g=g(r) is independent of (x,y) and F=fL(Ω).

    (a) If G satisfies the Δ condition, then the solution u of (2.9) is such that uCαloc(Ω) for some 0<α<1 depending on d, s, g and g, and there exists Cω>0 for every ωΩ depending only on d, g and g, fL(Ω) and independent of ss0>0, such that, for some for 0<αs0,

    uCα(ω)withuCα(ω)Cω. (2.15)

    (b) If ˉg=ˉg(r) is convex in r and g1, then u is Hölder continuous up to the boundary, i.e.,

    uCα(ˉΩ)such thatuCα(ˉΩ)Cs (2.16)

    for αs where Cs>0 and α>0 depends only on s, d, g, g and fL(Ω).

    Remark 2.16. Part (a) of this result is obtained in Theorem 1.1 of [11] and in Theorem 1.1(i) of [14]. Note that in these references, the authors require that the tail function of u for the ball BR(x0) defined by

    Tail(u;x0,R)=RdBR(x0)ˉg(|u(x)||xx0|s)dx|xx0|n+s

    is bounded. This assumption is not necessary when we apply it to the Dirichlet problem (2.9), since the solution u is globally bounded by Theorem 2.9, and therefore its tail is also bounded.

    Part (b) of this result is Theorem 1.1 of [21]. The additional assumption g1 implies that, in the case of the fractional p-Laplacian Lsp the result only covers the degenerate constant case p2.

    Theorem 2.17. Let u be the solution of the Dirichlet problem (2.9). Suppose g(x,y,r) is uniformly bounded and positive as in (1.8).

    (a) Let fLqloc(Ω) for some q>2dd+2. Then, there exists a positive 0<δ<1s depending on d, s, g, g, q independent of the solution u, such that uWs+δ,2+δloc(Ω).

    (b) Suppose further that fL(Ω) and g(x,y,r)=g(y,x,r), i.e., g has symmetric anisotropy, the solution u of (2.9) is also globally Hölder continuous and satisfies (2.16) for some 0<α<1 depending on d, p, s, γ and γ.

    Remark 2.18. Part (a) of this result is obtained by applying the result of Theorem 1.1 of [32] by replacing the kernel K(x,y) with the bounded kernel g(x,y,|δsu(x,y)|) satisfying (1.8), being u the solution of the nonlinear Dirichlet problem (2.9).

    Part (b) of this result in the special case when g(x,y,r) is uniformly bounded, in the sense that 0<γg(x,y,r)γ, is a simple corollary of Theorem 2.13 in the case p=2, since |δsu| is symmetric and we can consider g(x,y,|δsu(x,y)|)=K(x,y) as a function of x and y for the regularity estimate.

    Exploring the order properties of the fractional generalised Orlicz spaces and showing the T-monotonicity property in this large class of nonlocal operators, we are able to extend well-known properties to the fractional framework: comparison of solution with respect to the data and the Lewy-Stampacchia inequalities for obstacle problems.

    We start by showing that the quasilinear fractional operator Lsg is strictly T-monotone in Ws,G:0(Ω), i.e.,

    LsguLsgv,(uv)+>0,uv.

    Here, we use the standard notation for the positive and negative parts of v

    v+v0 and vv0=(v0),

    and we recall the Jordan decomposition of v given by

    v=v+v and |v|v(v)=v++v,

    and the useful identities

    uv=u+(vu)+=v+(uv)+,
    uv=u(uv)+=v(vu)+.

    Theorem 3.1. The operator Lsg is strictly T-monotone in Ws,G:0(Ω).

    Proof. Setting

    θr(x,y)=rδsu(x,y)+(1r)δsv(x,y)

    and writing w=uv, we have

    LsguLsgv,w+=RdRd(w+(x)w+(y))[g:(|δsu|)δsug:(|δsv|)δsv]dydx|xy|d+s=RdRd(w+(x)w+(y))[10g:(|θr|)dr+10|θr|g:(|θr|)dr](δsuδsv)dydx|xy|d+s.

    Now, by (1.3),

    J(x,y)=[10g:(|θr|)dr+10|θr|g:(|θr|)dr]>0

    is strictly positive and bounded, so we have

    LsguLsgv,(uv)+=RdRdJ(x,y)w+(x)w(x)w+(y)+w(y)|xy|d+2s(w+(x)w+(y))dxdy=RdRdJ(x,y)(w+(x)w+(y))2+w(x)w+(y)+w+(x)w(y)|xy|d+2sdxdyRdRdJ(x,y)(w+(x)w+(y))2|xy|d+2sdxdy>0,

    if w+0, since w(x)w+(x)=w(y)w+(y)=0.

    Remark 3.2. With exactly the same argument by replacing w+ with w=uv, the operator Lsg is strictly monotone. This also follows directly from the fact that (1.3) implies the strict monotonicity of g (see, for instance, page 2 of [15]): for all ξ,ζR such that ξζ,

    (g:(|ξ|)ξg:(|ζ|)ζ)(ξζ)>0, a.e. x,yRd. (3.1)

    The strict monotonicity immediately implies the uniqueness of the solution in Proposition 2.8.

    Remark 3.3. In the particular case when g(x,y,r)=|r|p2K(x,y) as in the fractional p-Laplacian (1.6), with 1<p< and K satisfies (1.7), the operator Lsp is strictly coercive, in the sense that

    LspuLspv,uv{21pk[uv]pWs,p0(Ω), if p2,(p1)2p24p+2pk[uv]2Ws,p0(Ω)([u]Ws,p0(Ω)+[v]Ws,p0(Ω))2p, if 1<p<2, (3.2)

    where the seminorm of Ws,p0(Ω) is given by

    [u]Ws,p(Ω)=(RdRd|u(x)u(y)|p|xy|d+spdxdy)1p.

    This is a generalisation of Proposition 2.4 of [37] to the K-anisotropic case.

    In the Hilbertian framework, we furthermore assume that g(x,y,r)[γ,γ] as in (1.8). Then, for a.e. x,yRd, it is easy to see from the proof of Theorem 3.1 that for all ξ,ζR,

    (g(x,y,|ξ|)ξg(x,y,|ζ|)ζ)(ξζ)γg|ξζ|2

    and

    |g(x,y,|ξ|)ξg(x,y,|ζ|)ζ|γg|ξζ|.

    Proposition 3.4. The operator Lsg in Hs0(Ω) with g(x,y,r)[γ,γ] satisfying (1.8) is strictly coercive and Lipschitz continuous.

    Proof. ˉLsg is strictly coercive for all u,vHs0(Ω) because

    ˉLsguˉLsgv,uv=RdRd(g:(|δsu|)δsug:(|δsv|)δsv)(δsuδsv)dxdy|xy|dγgRdRd|δsuδsv|2dxdy|xy|d=γguv2Hs0(Ω).

    Also, Lsg is Lipschitz since for all u,v,wHs0(Ω) with wHs0(Ω)=1,

    |LsguLsgv,w|RdRd|g(x,y,|δsu|)δsug(x,y,|δsv|)δsv||δsw|dxdy|xy|dγgRdRd|δsuδsv||xy|d2|w(x)w(y)||xy|s+d2dxdyγguvHs0(Ω).

    As a result, we have, in addition, the comparison property for the Dirichlet problem. Recall that we characterise an element F[Ws,G:(Ω)]+, the positive cone of the dual space of Ws,G:0(Ω), by

    F0 in Ws,G:(Ω) if and only if F,v0,v0,vWs,G:0(Ω). (3.3)

    Proposition 3.5. If u,ˆu denotes the solution of (2.9) corresponding to F,ψ and ˆF,ˆψ respectively, then

    FˆFimpliesuˆu,a.e. in Ω.

    Proof. Taking v=uˆu for the original problem and ˆv=uˆu for the other problem and adding, we have

    LsgˆuLsgu,(ˆuu)++FˆF,(ˆuu)+=0.

    Since FˆF, the result follows by the strict T-monotonicity of Lsg.

    Remark 3.6. This property of Lsg extends and implies Lemma 9 of [34] for the fractional p-Laplacian, as well as the fractional g-Laplacian in Proposition C.4 of [21] and Theorem 1.1 of [39].

    Remark 3.7. This comparison property includes the result in Theorem 5.2 of [8] in the case of a single non-homogeneous exponent p(x,y) and it extends easily the validity of the sub-supersolutions principles to this more general class of operators Lsg.

    Next, we extend the comparison results for the obstacle problems

    uKs:LsguF,vu0,vKs, (3.4)

    for FWs,G:(Ω) and measurable obstacle functions ψ,φWs,G:(Rd) such that the closed convex sets Ks=Ks1 or Ks2 defined by

    Ks1={vWs,G:0(Ω):vψ a.e. in Ω},
    Ks2={vWs,G:0(Ω):ψvφ a.e. in Ω}.

    Theorem 3.8. The one or two obstacles problem (3.4) has a unique solution u=u(F,ψ,φ)Ks, respectively for Ks=Ks1 or Ks2, and is equivalent to minimising in Ks the functional Gs defined in (2.10).

    Moreover, if ˆu denotes the solution corresponding to ˆF, ˆψ or to ˆF, ˆψ and ˆφ, respectively, then

    FˆF,ψˆψimpliesuˆu,a.e. in Ω,

    or

    FˆF,φˆφ,ψˆψimpliesuˆu,a.e. in Ω,

    and if F=ˆF, the following L estimates hold:

    uˆuL(Ω)ψˆψL(Ω). (3.5)
    uˆuL(Ω)ψˆψL(Ω)φˆφL(Ω). (3.6)

    Proof. The comparison property is once again standard and follows from the T-monotonicity of Lsg as given in Theorem 3.1. Indeed, in both one or two obstacles, taking v=uˆuKs in the problem (3.4) for u and ˆv=uˆuˆKs in the problem (3.4) for ˆu, by adding, we have

    LsgˆuLsgu,(ˆuu)++FˆF,(ˆuu)+0.

    Since FˆF and Lsg is strictly T-monotone, (ˆuu)+=0, i.e., uˆu.

    For the L-continuous dependence, the argument is similar, by taking, respectively, for the one or for the two obstacles problem v=u+wKs and ˆv=ˆuwˆKs with

    w=(ˆuuψˆψL(Ω))+

    or

    w=(ˆuuψˆψL(Ω)φˆφL(Ω))+.

    The existence and uniqueness of the solution follow from well known results of convex analysis, since the functional Gs is strictly convex, lower semi-continuous and coercive, and Ks is a nonempty, closed convex set in both cases.

    Next, recall that the order dual of the space Ws,G:0(Ω), denoted by Ws,G:(Ω), is the space of finite energy measures

    Ws,G:(Ω)=[Ws,G:(Ω)]+[Ws,G:(Ω)]+, (3.7)

    defined with the norm of Ws,G:(Ω), where [Ws,G:(Ω)]+ is the cone of positive finite energy measures in Ws,G:(Ω), as given in (3.3). Then, we have the following Lewy-Stampacchia inequalities.

    Theorem 3.9. Assume, in addition, that for the one or the two obstacles problem, respectively,

    F,(LsgψF)+Ws,G:(Ω),

    or

    F,(LsgψF)+,(LsgφF)+Ws,G:(Ω).

    Then, the solution u of the one or the two obstacles problem (3.4), satisfies in Ws,G:(Ω)

    FLsguFLsgψ, (3.8)

    or

    FLsgφLsguFLsgψ, (3.9)

    respectively. Consequently, in both cases LsguWs,G:(Ω).

    Proof. Since the operator Lsg is strictly T-monotone, we can apply the abstract results of [40, Theorem 2.4.1] and [47, Theorem 4.2] for the one-obstacle and two-obstacles problems respectively.

    Finally, the regularity of Lsgu follows from the fact that intervals are closed in order duals.

    Remark 3.10. In fact, the results in Theorem 2.4.1 of [40] and in [47, Theorem 4.2] do not even require Gs in (2.8) to be a potential operator, but only the strict T-monotonicity and the coercivity.

    For the one obstacle problem, since the associated functional Gs in (2.8) is a potential operator which is submodular, as a consequence of T-monotonicity (see also Sections 3.1, 3.2 and 4.1 of [4]), the Lewy-Stampacchia inequalities in the order dual Ws,G:(Ω) are also a consequence of Theorem 2.4 of [23].

    In particular, since LˆG(Ω)Ws,G:(Ω), we have

    Corollary 3.11. The solution u to the one or two obstacles problem (3.4) is also such that LsguLˆG(Ω)=[L˜G(Ω)], provided we assume the stronger assumption

    f,(Lsgψf)+LˆG(Ω),

    or

    f,(Lsgψf)+,(Lsgφf)+LˆG(Ω),

    as then the Lewy-Stampacchia inequalities hold pointwise almost everywhere

    fLsgufLsgψ,a.e. in Ω. (3.10)

    or

    fLsgφLsgufLsgψ,a.e. in Ω. (3.11)

    Proof. This follows simply by recalling that Ws,G:0(Ω) is dense in L˜G(Ω), and therefore the Lewy-Stampacchia inequalities taken in the dual space Ws,G:(Ω) reduce to integrals, as in (2.4), and it follows then that they hold also a.e. in Ω.

    The order properties implied by the strict T-monotonicity, in the case of integrable data, also allow the approximation of the solutions to the obstacle problems via bounded penalisation, which provides a direct way to prove the preceding Corollary 3.11 and to reduce the regularity of their solutions to the regularity in the fractional Dirichlet problem.

    When the data f and (Lsgψf)+ are integrable functions, the a.e. Lewy-Stampacchia inequalities can be obtained directly by approximation with a classical bounded penalisation of the obstacles. In the fractional p-Laplacian case it is even possible to estimate the error in the Ws,p0(Ω)-norm [37]. We first begin with the following auxiliary convergence result, which is well-known in other classical monotone cases, and in the framework of the operator Lsg is due to [17, Theorem 3.17].

    Lemma 4.1. Under assumptions (1.3), suppose {un}nN is a sequence in Ws,G:0(Ω). Then unu strongly in Ws,G:0(Ω) if and only if

    lim supnLsgunLsgu,unu=0. (4.1)

    Consider the penalised problem with f and ζ=(Lsgψf)+LˆG(Ω),

    uεWs,G:0(Ω):Lsguε,v+Ωζθε(uεψ)v=Ω(f+ζ)v,vWs,G:0(Ω), (4.2)

    where θε(t) is an approximation to the multi-valued Heaviside graph defined by

    θε(t)=θ(tε),tR

    for any fixed nondecreasing Lipschitz function θ:R[0,1] satisfying

    θC0,1(R),θ0,θ(+)=1, and θ(t)=0 for t0;
    Cθ>0:[1θ(t)]tCθ,t>0.

    Then we have a direct proof of the Lewy-Stampacchia inequalities.

    Theorem 4.2. Assume that

    f,(Lsgψf)+LˆG(Ω).

    Then, the solution u of the nonlinear one obstacle problem satisfies

    fLsgufLsgψa.e. in Ω. (4.3)

    In particular, LsguLˆG(Ω).

    Furthermore, we have that the solution uε of the penalised problem (4.2) converges to u in the following sense:

    uεustrongly in Ws,G:0(Ω)anduεustrongly in Lq(Ω) (4.4)

    for q satisfying 1q<d(g+1)ds(g+1).

    Proof. For the one obstacle problem, the proof follows as in the linear case, given in Theorem 4.6 of [36] with the second obstacle φ=+. In the general case, there exists a unique solution uε to (4.2) by Theorem 2.8. Next, we show that uεψ, so that the solution uεKs for each ε>0. Indeed, for all vWs,G:0(Ω) such that v0, we have

    Lsgψf+f,v(Lsgψf)++f,vΩ(ζ+f)v. (4.5)

    Taking v=(ψuε)+0 and subtracting (4.2) from the above equation, we have

    Lsgψ,(ψuε)+Lsguε,(ψuε)+Ω(ζ+f)(ψuε)++Ωζθε(uεψ)(ψuε)+Ω(f+ζ)(ψuε)+=Ωζθε(uεψ)(ψuε)+=0.

    The last equality is true because either uεψ>0 which gives (ψuε)+=0, or uεψ0 which gives θε(uεψ)=0 by the construction of θ, thus implying θε(uεψ)(ψuε)+=0. By the T-monotonicity of Lsg, (ψuε)+=0, i.e., uεKs for any ε>0.

    Then, we show that uεψ converges strongly in Ws,G:0(Ω) as ε0 to some u, which by uniqueness, is the solution of the obstacle problem. Indeed, taking v=wuε in (4.2) for arbitrary wKs, we have

    Lsguε,wuε=Ω(f+ζ)(wuε)Ωζθε(uεψ)(wuε)=Ωf(wuε)+Ωζ[1θε(uεψ)](wuε)Ωf(wuε)+Ωζ[1θε(uεψ)](ψuε)=Ωf(wuε)εΩζ[1θε(uεψ)]uεψεΩf(wuε)εCθΩζ,

    since ζ,1θε,wψ0 for wKsψ.

    Now, taking w=u, we obtain

    Lsguεf,uuεεCθΩζ,

    and letting v=uεKsψ in the original obstacle problem (3.4), we have

    Lsguf,uεu0.

    Taking the difference of these two equations, we have

    εCθΩζLsguεLsgu,uεu. (4.6)

    Applying the previous lemma, we have that uεu strongly in Ws,G:0(Ω) as ε0.

    Then, choosing ζ=(Lsgψf)+ in the penalised problem, the inequality (4.3) is also satisfied for uε, and since Lsg is monotone, (4.3) is therefore satisfied weakly by u at the limit ε0.

    Finally, the Lq(Ω) strong convergence follows easily using the compactness result in Corollary 2.6.

    Remark 4.3. Similar results hold for the two obstacles problem. If we assume

    f,(Lsgψf)+,(Lsgφf)LˆG(Ω),

    then, we have

    fLsgϕLsgufLsgψ, a.e. in Ω. (4.7)

    Indeed, the two obstacles problem follows similarly using the bounded penalised problem

    uεWs,G:0(Ω):Lsguε,v+Ωζψθε(uεψ)vΩζφθε(φuε)v=Ω(f+ζψζφ)v,vWs,G:0(Ω),

    by setting

    ζψ=(Lsgψf)+,ζφ=(Lsgφf),

    with the same θε(t) and taking limit of uε, as ε0, to obtain the solution u of the two obstacles problem.

    Remark 4.4. In the particular case when g(x,y,r)=|r|p2)K(x,y) for 1<p< and Lsg corresponds to the fractional p-Laplacian, by Remark 3.3, we furthermore have the estimate

    [uεu]Ws,p0(Ω)Cpε1/(p2)

    for some constant Cp depending on p, ζψ, ζφ, k, k and f. In particular, this implies that uε converges strongly in Ws,p0(Ω) to u as ε0 [37].

    As an immediate corollary of the approximation with the bounded penalisation, based on the regularity results for the Dirichlet problem in Section 2.2, we can extend these regularity results to the obstacle problems. The first is the uniform boundedness results of their solutions as a corollary of Theorems 2.9.

    Theorem 4.5. Suppose F=f and fLsgψLm(Ω), with m>ds(g+1) and g satisfies (1.3) with s(g+1)<d. Then, the solution u of the one obstacle problem (3.4) is bounded, i.e., uL(Ω). If, in addition, fLsgφLm(Ω) the solution u of the two obstacles problem also satisfies uL(Ω).

    Next, we have the Hölder regularity results for the solution to the obstacle problem.

    Theorem 4.6. Let F=fL(Ω). Suppose either

    (a) g(x,y,r) is of the form |r|p(x,y)2K(x,y) as in the fractional p-Laplacian Lsp in (1.6) for 1<pp(x,y)p+<, and K satisfies (1.7), with p(,) and K(,) symmetric, such that p(x,y) is log-Hölder continuous on the diagonal D={(x,x):xΩ}, i.e.,

    sup0<r1/2[log(1r)supBrΩsupx2,y1,y2Br|p(x1,y1)p(x2,y2)|]C,for some C>0,

    (b) g is isotropic, i.e., g=g(r) is independent of (x,y), with G satisfying the Δ condition,

    (c) g is isotropic with ˉg=ˉg(r) convex in r and g1 in (1.3), or

    (d) g(x,y,r) is uniformly bounded and positive as in (1.8) with symmetric anisotropy.

    If f, fLsgψL(Ω) in the one obstacle problem and also fLsgφL(Ω) in the two obstacles problem, their solutions u are Hölder continuous, i.e., in cases (a) and (b), locally in Ω,

    uCα(Ω) for some 0<α<1.

    and, in cases (c) and (d), up to the boundary,

    uCα(ˉΩ) for some 0<α<1.

    Remark 4.7. The result for (a) was previously given for the isotropic fractional p-Laplacian for ψ Hölder continuous in Theorem 6 of [30] or Theorem 1.3 of [45].

    Remark 4.8. In the case when g(x,y,r) is uniformly bounded and positive as in (1.8), if f, fLsgψLqloc(Ω) (and fLsgφLqloc(Ω), resp. for the two obstacles problem) for some q>2dd+2, then, the solutions u of the obstacle problems are such that uWs+δ,2+δloc(Ω), for some positive 0<δ<1s, by Theorem 1.1 of [32] as stated in Part (a) of Theorem 2.17.

    In this section, we make a brief introduction to the basic relation between the obstacle problem and potential theory, extending the seminal idea of Stampacchia [53] to the fractional generalised Orlicz framework. Other nonlinear extensions to nonlinear potential theory have been considered by [4], for general Banach-Dirichlet spaces, by [27], for weighted Sobolev spaces for p-Laplacian operators, and more recently by [9] in generalised Orlicz spaces for classical derivatives with a slightly different definition of capacity.

    For EΩ, one says that u0 on E (or u0 on E in the sense of Ws,G:0(Ω)) if there exists a sequence of Lipschitz functions with compact support in Ω uku in Ws,G:0(Ω) such that uk0 on E. Clearly if u0 on E, then also u0 a.e. on E. On the other hand if u0 a.e. on Ω, then u0 on Ω (see, for instance, Proposition 5.2 of [29]).

    Let EΩ be any compact subset. Define the nonempty closed convex set of Ws,G:0(Ω) by

    KsE={vWs,G:0(Ω):v1 on E},

    and consider the following variational inequality of obstacle type

    uKsE:Lsgu,vu0,vKsE. (5.1)

    This variational inequality clearly has a unique solution and consequently we can also extend to the fractional generalised Orlicz framework the following theorem, which is due to Stampacchia [53] for general linear second order elliptic differential operators with discontinuous coefficients.

    Theorem 5.1. For any compact EΩ, the unique solution u of (5.1), called the (s,G:)-capacitary potential of E, is such that

    u=1 on E (in the sense of Ws,G:0(Ω)),
    μs,G:=Lsgu0 with supp(μs,G:)E.

    Moreover, for the non-negative Radon measure μs,G:, one has

    Cgs(E)=Lsgu,u=Ωdμs,G:=μs,G:(E) (5.2)

    and this number is the (s,G:)-capacity of E with respect to the operator Lsgu.

    Proof. The proof follows a similar approach to the classical case ([46, Theorem 8.1] or [53, Theorem 3.9]). Taking v=u1=u(u1)+KsE in (5.1), one has, by T-monotonicity (Theorem 3.1),

    0<Lsg(u1),(u1)+=Lsgu,(u1)+0,

    since the δs is invariant for translations. Hence u1 in Ω, which implies u1 in Ω. But uKsE, so u1 on E. Therefore, the first result u=1 on E follows.

    For the second result, set v=u+φKsE in (5.1) with an arbitrary φCc(Ω), φ0. Then, by the Riesz-Schwartz theorem (see, for instance, [2, Theorem 1.1.3]), there exists a non-negative Radon measure μs,G: on Ω such that

    Lsgu,φ=Ωφdμs,G:,φCc(Ω).

    Moreover, for xΩE, there is a neighbourhood OΩE of x so that u+φKsE for any φCc(O). Therefore,

    Lsgu,φ=0,φCc(ΩE)

    which means μs,G:=Lsgu=0 in ΩE. Therefore, supp(μs,G:)E and the third result follows immediately.

    Remark 5.2. In fact, the (s,G:)-capacity is a capacity of E with respect to Ω and to Lsg and extends the notion introduced by Stampacchia [53] (see also [29,46]) of capacity of a set with respect to a general linear second order elliptic partial differential operator with discontinuous coefficients. This type of characterisation of capacitary potentials and their relation to positive measures with finite energy have been also considered in an abstract nonlinear framework in Banach-Dirichlet spaces, including classical Sobolev spaces, in [4].

    Remark 5.3. For any subset FΩ, defining the capacity of F by taking the supremum of the capacity for all compact sets EF, it follows that the (s,G:)-capacity is an increasing set function and it is expected that it is a Choquet capacity, as in other general theories of linear and nonlinear potentials. For instance, see [54] for the case of the linear operators in (1.5), or in the case of the fractional p-Laplacian as in (1.6), see Theorem 2.4 of [51] and Theorem 1.1 of [52], or a non-variational case in Theorem 4.1 of [50]. However, it is out of the scope of this work to pursue the theory of generalised Orlicz fractional capacity.

    We are now particularly interested in extending Stampacchia's theory to the nonlinear Hilbertian framework associated with Lsg for strictly positive and bounded g satisfying (1.8).

    We denote by Cs the capacity associated to the norm of Hs0(Ω), which is defined for any compact set EΩ by

    Cs(E)=inf{v2Hs0(Ω):vHs0(Ω),v1 on E}=(Δ)sˉu,ˉu,

    where ˉu is the corresponding s-capacitary potential of E.

    We notice that the Cs-capacity corresponds to the capacity associated with the fractional Laplacian (Δ)s and the s-capacitary potential of a compact set E is the solution of the obstacle problem (5.1) when Lsg=(Δ)s and the bilinear form (1.5) is the inner product in Hs0(Ω).

    It is well-known (see, for instance, Theorem 5.1 of [36]) that for every uHs0(Ω), there exists a unique (up to a set of capacity 0) quasi-continuous function ˉu:ΩR such that ˉu=u a.e. on Ω. Thus, it makes sense to identify a function uHs0(Ω) with the class of quasi-continuous functions that are equivalent quasi-everywhere (q.e.). Denote the space of such equivalent classes by Qs(Ω). Then, for every element uHs0(Ω), there is an associated ˉuQs(Ω).

    Define the space L2Cs(Ω) by

    L2Cs(Ω)={ϕQs(Ω):uHs0(Ω):ˉu|ϕ| q.e. in Ω}

    and its associated norm (see [5])

    ϕL2Cs(Ω)=inf{uHs0(Ω):uHs0(Ω),ˉu|ϕ| q.e. in Ω}.

    Then, L2Cs(Ω) is a Banach space and its dual space can be identified with the order dual of Hs0(Ω) (by Theorem 5.6 of [36]), i.e.,

    [L2Cs(Ω)]=Hs(Ω)M(Ω)=Hs(Ω)=[Hs(Ω)]+[Hs(Ω)]+,

    where M(Ω) is the set of bounded measures in Ω. Furthermore, by Proposition 5.2 of [36], the injection of Hs0(Ω)Cc(Ω)L2Cs(Ω) is dense.

    Now we consider the special Hilbertian case of Theorem 5.1 for a nonlinear operator Lsg when g(x,y,r) corresponds to the nonlinear kernel under the assumptions (1.3) and (1.8), i.e., such that 0<γg(x,y,r)γ for 0<γ<1<γ. In this case, we have a simple comparison of the capacities.

    Theorem 5.4. For any subset FΩ, γCs(F)Cgs(F)γ2γCs(F).

    Proof. We first show it for a compact set EΩ. Let u be the (s,G:)-capacitary potential of E, and ˉu be the s-capacitary potential of E. Since ˉu1 on E, we can choose v=ˉuKsE in (5.1) to get

    Cgs(E)=Lsgu,uLsgu,ˉuγuHs0(Ω)ˉuHs0(Ω)γ2u2Hs0(Ω)+γ22γˉu2Hs0(Ω)12Lsgu,u+γ22γCs(E)=12Cgs(E)+γ22γCs(E)

    by Cauchy-Schwarz inequality and the coercivity of g. Similarly, we can choose v=uKsE for (5.1) for Cs(E), with Lsg=(Δ)s, using again the coercivity of g, and obtain

    Cs(E)=(Δ)sˉu,ˉu(Δ)sˉu,uˉuHs0(Ω)uHs0(Ω)12ˉu2Hs0(Ω)+12u2Hs0(Ω)12Cs(E)+12γLsgu,u=12Cs(E)+12γCgs(E).

    Finally, we can extend this result for general sets FΩ by taking the supremum over all compact sets E in F.

    As a simple application, we consider the corresponding nonlinear nonlocal obstacle problem in L2Cs(Ω). This extends some results of [1,53] (see also [46]). See also Propositions 4.18 and 5.1 of [4], which gives the existence result in the local classical case of W1,p0(Ω).

    Theorem 5.5. Let ψ be an arbitrary function in L2Cs(Ω). Suppose that the closed convex set ˉKs is such that

    ˉKs={vHs0(Ω):ˉvψ q.e. in Ω}.

    Then there is a unique solution to

    uˉKs:Lsgu,vu0,vˉKs, (5.3)

    which is non-negative and such that

    uHs0(Ω)(γ/γ)ψ+L2Cs(Ω). (5.4)

    Moreover, there is a unique measure μs,g=Lsgu0, concentrated on the coincidence set {u=ψ}={u=ψ+}, verifying

    Lsgu,v=Ωˉvdμs,g,vHs0(Ω), (5.5)

    and

    μs,g(E)(γ2γ3/2)ψ+L2Cs(Ω)[Cgs(E)]1/2,EΩ, (5.6)

    in particular μs,g does not charge on sets of capacity zero.

    Proof. By the maximum principle given in Theorem 3.8, taking v=u+u, the solution is non-negative. Hence, the variational inequality (5.3) is equivalent to solving the variational inequality with ˉKs=ˉKsψ replaced by ˉKsψ+. Since ψ+L2Cs(Ω), by definition, ˉKsψ+ and we can apply the Stampacchia theorem to obtain a unique non-negative solution. From (5.3) it follows

    γu2Hs0(Ω)Lsgu,uLsgu,vγuHs0(Ω)vHs0(Ω),

    and we have

    uHs0(Ω)(γ/γ)vHs0(Ω),vˉKsψ+,

    giving (5.4), by using the definition of the L2Cs(Ω)-norm of ψ+.

    The existence of a Radon measure for (5.5) follows exactly as in Theorem 5.1. Finally, recalling the definitions, it is sufficient to prove (5.6) for any compact subset EΩ. But this follows from

    μs,g(E)Ωˉvdμs,g=Lsgu,vγuHs0(Ω)vHs0(Ω)γ2γψ+L2Cs(Ω)vHs0(Ω),vKsE.

    Now, recall from Proposition 5.4 that we have

    Cgs(E)γCs(E)=γinfvKsEv2Hs0(Ω)

    thereby obtaining (5.6).

    Corollary 5.6. If u and ˆu are the solutions to (5.3) with non-negative compatible obstacles ψ and ˆψ in L2Cs(Ω) respectively, then

    uˆuHs0(Ω)kψˆψ1/2L2Cs(Ω),

    where

    k=(γ/γ)[ψL2Cs(Ω)+ˆψL2Cs(Ω)]1/2.

    Proof. Since supp(μs,g){u=ψ} and supp(ˆμs,g){ˆu=ˆψ} (where μs,g=Lsgu and ˆμs,g=Lsgˆu), for an arbitrary wˉKs|ψˆψ|, by setting v=uˆu in (5.5) for μs,g and for ˆμs,g, we have

    γuˆu2Hs0(Ω)Lsguˆu,uˆu=Lsgu,uˆuLsgˆu,uˆu=Ω(uˆu)dμs,gΩ(uˆu)dˆμs,gΩ(ψˆψ)dμs,gΩ(ψˆψ)dˆμs,gΩ|ψˆψ|d(μs,g+ˆμs,g)Ωwd(μs,g+ˆμs,g)=Ωwdμs,g+Ωwdˆμs,g=Lsgu,w+Lsgˆu,wγ[uHs0(Ω)+ˆuˆuHs0(Ω)]wHs0(Ω)γ2γ[ψL2Cs(Ω)+ˆψL2Cs(Ω)]wHs0(Ω) by (5.4).

    Since w is arbitrary in ˉKs|ψˆψ|, the conclusion follows by the definition of the norm of |ψˆψ| in L2Cs(Ω).

    In this work, we investigated the one and two obstacle problems concerning the nonlocal nonlinear anisotropic g-Laplacian Lsg, establishing its strict T-monotonicity and deriving the Lewy-Stampacchia inequalities. By approximating the solutions through semilinear problems, we proved a global L-estimate, and extended the local Hölder regularity to the solutions of the obstacle problems in the case of the fractional p(x,y)-Laplacian operator. Finally, we studied the capacities in the fractional generalized Orlicz framework as well as the Hilbertian nonlinear case in fractional Sobolev spaces.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The research of C. W. K. Lo was partially supported by NSFC/RGC Joint Research Scheme, N_CityU101/21, ANR/RGC Joint Research Scheme, A_CityU203/19, and the Hong Kong RGC General Research Funds (projects 11311122, 11304224 and 11300821). The research of J. F. Rodrigues was partially done under the framework of the Project PTDC/MATPUR/28686/2017 at CMAFcIO/ULisboa.

    The authors declare no conflicts of interest.



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