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Research article

Weak solutions of semilinear elliptic equations with Leray-Hardy potentials and measure data

  • Received: 10 March 2019 Accepted: 04 April 2019 Published: 28 April 2019
  • We study existence and stability of solutions of Δu+μ|x|2u+g(u)=ν in Ω,   u=0 on Ω, where Ω is a bounded, smooth domain of RN, N2, containing the origin, μ(N2)24 is a constant, g is a nondecreasing function satisfying some integral growth assumption and the weak Δ2-condition, and ν is a Radon measure in Ω. We show that the situation differs depending on whether the measure is diffuse or concentrated at the origin. When g is a power function, we introduce a capacity framework to find necessary and sufficient conditions for solvability.

    Citation: Huyuan Chen, Laurent Véron. Weak solutions of semilinear elliptic equations with Leray-Hardy potentials and measure data[J]. Mathematics in Engineering, 2019, 1(3): 391-418. doi: 10.3934/mine.2019.3.391

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  • We study existence and stability of solutions of Δu+μ|x|2u+g(u)=ν in Ω,   u=0 on Ω, where Ω is a bounded, smooth domain of RN, N2, containing the origin, μ(N2)24 is a constant, g is a nondecreasing function satisfying some integral growth assumption and the weak Δ2-condition, and ν is a Radon measure in Ω. We show that the situation differs depending on whether the measure is diffuse or concentrated at the origin. When g is a power function, we introduce a capacity framework to find necessary and sufficient conditions for solvability.


    Schrödinger operators with singular potentials under the form

    uH(u):=Δu+V(x)u,xR3 (1.1)

    are at the core of the description of many aspects of nuclear physics. The associated energy, the sum of the momentum energy and the potential energy, endows the form

    H(u)=12R3(|u|2+V(x)u2)dx. (1.2)

    In classical physics V(x)=κ|x|1 (κ>0) is the Coulombian potential and H is not bounded from below and there is no ground state. In quantum physics there are reasons arising from its mathematical formulation which leads, at least in the case of the hydrogen atom, to V(x)=κ|x|2 (κ>0) and H is bounded from below provided κ14. Furthermore, a form of the uncertainty principle is Hardy's inequality

    R3|u|2dx14R3u2|x|2dxfor all uC0(R3). (1.3)

    The meaning of this inequality is that if u is localized close to a point 0 (i.e., the right side term is large), then its momentum has to be large (i.e., the left side term is large), and the power |x|2 is the consequence of a dimensional analysis (see [19,20]). Such potential is often called a Leray-Hardy potential. The study of the mathematical properties of generalisations of the operator H in particular in N-dimensional domains generated hundred of publications in the last thirty years. In this article we define the Schrödinger operator L in RN by

    Lμ:=Δ+μ|x|2, (1.4)

    where μ is a real number satisfying

    μμ0:=(N2)24. (1.5)

    Note that (N2)24 achieves the value 14 when N=3. Let ΩRN (N2) be a bounded, smooth domain containing the origin and g:RR be a continuous nondecreasing function such that g(0)0, we are interested in the nonlinear Poisson equation

    {Lμu+g(u)=νin Ω,Lμ+g(u)u=0on Ω, (1.6)

    where ν is a Radon measure in Ω. The reason for a measure framework is that the problem is essentially trivial if νL2(Ω), more complicated if νL1(Ω) and very rich if ν is a measure.

    When μ=0, problem (1.6) reduces to

    {Δu+g(u)=νin Ω,Δ+g(u)u=0on Ω, (1.7)

    which has been extensively studied by numerous authors in the last 30 years. A fundamental contribution is due to Brezis [6], Benilan and Brezis [2], where ν is bounded and the function g:RR is nondecreasing, positive on (0,+) and satisfies the subcritical assumption in dimension N3:

    +1(g(s)g(s))s1NN2ds<+. (1.8)

    They obtained the existence, uniqueness and stability of weak solutions for the problem. When N=2, Vàzquez [26] introduced the exponential orders of growth of g defined by

    β+(g)=inf{b>0:1g(t)ebtdt<},β(g)=sup{b<0:1g(t)ebtdt>}, (1.9)

    and proved that if ν is any bounded measure in Ω with Lebesgue decomposition

    ν=νr+jNαjδaj,

    where νr is part of ν with no atom, ajΩ and αjR satisfies

    4πβ(g)αj4πβ+(g), (1.10)

    then (1.7) admits a (unique) weak solution. Later on, Baras and Pierre [1] studied (1.7) when g(u)=|u|p1u for p>1 and they discovered that if pNN2 the problem is well posed if and only if ν is absolutely continuous with respect to the Bessel capacity c2,p with p=pp1.

    It is a well established fact that, by the improved Hardy inequality in [9] and Lax-Milgram Theorem, the non-homogeneous problem

    Lμu=finΩ,u=0onΩ, (1.11)

    with fL2(Ω), has a unique solution in H10(Ω) if μ>μ0, or in a weaker space H(Ω) if μ=μ0, see [18]. When fL2(Ω), a natural question is to find sharp conditions on f for the existence or nonexistence of solutions of (1.11) and the difficulty comes from the fact that the Hardy term |x|2u may not be locally integrable in Ω. An attempt done by Dupaigne in [18] is to consider problem (1.11) when μ[μ0,0) and N3 in the sense of distributions

    ΩuLμξdx=Ωfξdx,ξCc(Ω). (1.12)

    The corresponding semi-linear problem is studied in [5] with this approach.

    We adopt here a different point of view in using a different notion of weak solutions. It is known that the equation Lμu=0 in RN{0} has two distinct radial solutions:

    Φμ(x)={|x|τ(μ)ifμ>μ0,|x|N22ln(1|x|)ifμ=μ0,andΓμ(x)=|x|τ+(μ),

    with

    τ(μ)=N22(N2)24+μandτ+(μ)=N22+(N2)24+μ.

    In the remaining of the paper and when there is no ambiguity, we put τ+=τ+(μ), τ0+=τ+(μ0), τ=τ(μ) and τ0=τ(μ0). It is noticeable that identity (1.12) cannot be used to express that Φμ is a fundamental solution, i.e., f=δ0, since Φμ is not locally integrable if μ2N. Recently, Chen, Quaas and Zhou found in [12] that the function Φμ is the fundamental solution in the sense that

    RNΦμLμξdγμ(x)=cμξ(0)for all ξC1,10(RN), (1.13)

    where

    dγμ(x)=Γμ(x)dx, Lμξ=Δξ2τ+|x|2x,ξ, (1.14)

    and

    cμ={2μμ0SN1if μ>μ0,|SN1|if μ=μ0. (1.15)

    With the power-absorption nonlinearity in Ω=Ω{0}, the precise behaviour near 0 of any positive solution of

    Lμu+up=0in D(Ω) (1.16)

    is given in [22] when p>1. In this paper it appears a critical exponent

    pμ=12τ (1.17)

    with the following properties: if ppμ any solution of (1.16) can be extended by continuity as a solution in D(Ω). If 1<p<pμ any positive solution of (1.16) either satisfies

    limx0|x|2p1u(x)=, (1.18)

    where =N,p,μ>0, or there exists k0 such that

    limx0u(x)Φμ(x)=k, (1.19)

    and in that case uLploc(Ω;dγμ). In view of [12], it implies that u satisfies

    RN(uLμξ+upξ)dγμ(x)=cμkξ(0),ξC1,10(RN). (1.20)

    Note the threshold pμ and its role is put into light by the existence or non-existence of explicit solutions of (1.16) under the form xa|x|b, where necessarily b=2p1 and a=. It is also proved in [22] that when μ>μ0 and g:RR+ is a continuous nondecreasing function satisfying

    1(g(s)g(s))s1pμds<, (1.21)

    then for any k>0 there exists a radial solution of

    Lμu+g(u)=0in D(B1) (1.22)

    satisfying (1.19), where B1:=B1(0){0}. When μ=μ0 and N3 it is proved in [22] that if there exists b>0 such that

    10g(bsN2N+2lns)ds<, (1.23)

    then there exists a radial solution of (1.22) satisfying (1.19) with γ=(N+2)b2. In fact this condition is independent of b>0, by contrast to the case N=2 and μ=0 where the introduction of the exponential order of growth of g is a necessity. Moreover, it is easy to see that u satisfies

    RN(uLμξ+g(u)ξ)dγμ(x)=cμγξ(0),ξC1,10(RN). (1.24)

    In view of these results and identity (1.13), we introduce a definition of weak solutions adapted to the operator Lμ in a measure framework. Since Γμ is singular at 0 if μ<0, there is need of defining specific set of measures and we denote by M(Ω;Γμ), the set of Radon measures ν in Ω such that

    ΩΓμd|ν|:=sup{Ωζd|ν|:ζC0(Ω),0ζΓμ}<. (1.25)

    If νM+(Ω), we define its natural extension, with the same notation since there is no ambiguity, as a measure in Ω by

    Ωζdν=sup{Ωηdν:ηC0(Ω),0ηζ}for all ζC0(Ω),ζ0, (1.26)

    a definition which is easily extended if ν=ν+νM(Ω). Since the idea is to use the weight Γμ in the expression of the weak solution, the expression Γμν has to be defined properly if τ+<0. We denote by M(Ω;Γμ) the set of measures ν on Ω which coincide with the above natural extension of νΩM+(Ω;Γμ). If νM+(Ω;Γμ) we define the measure Γμν in the following way

    Ωζd(Γμν)=sup{ΩηΓμdν:ηC0(Ω),0ηζ}for all ζC0(Ω),ζ0. (1.27)

    If ν=ν+ν, Γμν is defined accordingly. Notice that the Dirac mass at 0 does not belong to M(Ω;Γμ) although it is a limit of {νn}M(Ω;Γμ). We denote by ¯M(Ω;Γμ) the set of measures which can be written under the form

    ν=νΩ+kδ0, (1.28)

    where νΩM(Ω;Γμ) and kR. Before stating our main theorem we make precise the notion of weak solution used in this article. We denote ¯Ω:=¯Ω{0}, ρ(x)=dist(x,Ω) and

    Xμ(Ω)={ξC0(¯Ω)C1(¯Ω):|x|LμξL(Ω)}. (1.29)

    Clearly C1,10(¯Ω)Xμ(Ω).

    Definition 1.1. We say that u is a weak solution of (1.6) with ν¯M(Ω;Γμ) such that ν=νΩ+kδ0 if uL1(Ω,|x|1dγμ), g(u)L1(Ω,ρdγμ) and

    Ω[uLμξ+g(u)ξ]dγμ(x)=Ωξd(Γμν)+kξ(0)for all ξXμ(Ω), (1.30)

    where Lμ is given by (1.13) and cμ is defined in (1.15).

    A measure for which problem (1.6) admits a solution is a g-good measure. In the regular case we prove the following

    Theorem A. Let μ0 if N=2, μμ0 if N3 and g:RR be a Hölder continuous nondecreasing function such that g(r)r0 for any rR. Then for any νL1(Ω,dγμ), problem (1.6) has a unique weak solution uν such that for some c1>0,

    uνL1(Ω,|x|1dγμ)c1νL1(Ω,dγμ).

    Furthermore, if uν is the solution of (1.6) with right-hand side νL1(Ω,dγμ), there holds

    Ω[|uνuν|Lμξ+|g(uν)g(uν)|ξ]dγμ(x)Ω(νν)sgn(uu)ξdγμ(x), (1.31)

    and

    Ω[(uνuν)+Lμξ+(g(uν)g(uν))+ξ]dγμ(x)Ω(νν)sgn+(uu)ξdγμ(x), (1.32)

    for all ξXμ(Ω), ξ0.

    Definition 1.2. A continuous function g:RR such that rg(r)0 for all rR satisfies the weak Δ2-condition if there exists a positive nondecreasing function tRK(t) such that

    |g(s+t)|K(t)(|g(s)|+|g(t)|)forall(s,t)R×Rs.t.st0. (1.33)

    It satisfies the Δ2-condition if the above function K is constant.

    The Δ2-condition has been intruduced in the study of Birnbaum-Orlicz spaces [4,23] and it is satisfied by power function r|r|p1r, p>0, but not by exponential functions rear. It plays a key role in the study of semilinear equation with a power type reaction term (see eg., [29,30]). The new weak Δ2-condition is more general and it is also satisfied by exponential functions.

    Theorem B. Let μ>0 if N=2 or μ>μ0 if N3 and g:RR be a nondecreasing continuous function such that g(r)r0 for any rR. If g satisfies the weak Δ2-condition and

    1(g(s)g(s))s1min{pμ,p0}ds<, (1.34)

    where pμ is given by (1.17), then for any ν¯M+(Ω;Γμ) problem (1.6) admits a unique weak solution uν.

    Note that min{pμ,p0}=pμ for μ>0 and min{pμ,p0}=p0 if μ<0. Furthermore, the mapping: νuν is increasing. In the case N3 and μ=μ0 we have a more precise result.

    Theorem C. Assume that N3 and g:RR is a continuous nondecreasing function such that g(r)r0 for any rR satisfying the weak Δ2-condition and (1.8). Then for any ν=νΩ+cμkδ0¯M+(Ω;Γμ) problem (1.6) admits a unique weak solution uν.

    Furthermore, if νΩ=0, condition (1.8) can be replaced by the following weaker one

    1(g(t)g(t))(lnt)N+2N2t2NN2dt<. (1.35)

    The optimality of these conditions depends whether the measure is concentrated at 0 or not. When the measure is of the form kδ0 the condition proved to be optimal in [22] and when it is of the type kδa with a0 optimality is shown in [28]. Normally, the estimates on the Green kernel plays an essential role for approximating the solution of elliptic problems with absorption and Radon measure data. However, we have avoided to use the estimates on the Green kernel for Hardy operators which are not easily tractable when 0>μμ0, and our main idea is to separate the measure ν in M(Ω;Γμ) and the Dirac mass at the origin, and then to glue the solutions with above measures respectively. This technique requires this new weak Δ2-condition.

    In the previous result, it is noticeable that if k=0 (resp. νΩ=0) only condition (1.8) (resp. condition (1.35)) is needed. In the two cases the weak Δ2-condition is unnecessary. In the power case where g(u)=|u|p1u:=gp(u),

    {Lμu+gp(u)=ν  in Ω,  u=0  on Ω, (1.36)

    the following result follows from Theorem B and C.

    Corollary D. Let μμ0 if N3 and μ>0 if N=2. Any nonzero measure ν=νΩ+cμkδ0¯M+(Ω;Γμ) is gp-good if one of the following holds:

    (i) 1<p<pμ in the case νΩ=0;

    (ii) 1<p<p0 in the case k=0;

    (iii) 1<p<min{pμ,p0} in the case k0 and νΩ0.

    We remark that pμ is the sharp exponent for the existence of (1.36) when νΩ=0, while the critical exponent becomes p0 when k=0 and ν has atom in Ω{0}.

    The supercritical case of equation (1.36) corresponds to the fact that not all measures are gp-good and the case where k0 is already treated.

    Theorem E. Assume that N3. Then ν=νΩM(Ω;Γμ) is gp-good if and only if for any ϵ>0, νϵ=νχBcϵ is absolutely continuous with respect to the c2,p-Bessel capacity.

    Finally we characterize the compact removable sets in Ω.

    Theorem F. Assume that N3, p>1 and K is a compact set of Ω. Then any weak solution of

    Lμu+gp(u)=0in ΩK (1.37)

    can be extended a weak solution of the same equation in whole Ω if and only if

    (i) c2,p(K)=0 if 0K;

    (ii) ppμ if K={0};

    (iii) c2,p(K)=0 if μ0, 0K and K{0};

    (iv) c2,p(K)=0 and ppμ if μ<0, 0K and K{0}.

    The case (ⅰ) is already proved in [22,Theorem 1.2]. Notice also that if A necessarily c2,p(A)=0 holds only if pp0. Therefore, if μ0 there holds pp0pμ, while if μ<0, then p0<pμ.

    The rest of this paper is organized as follows. In Section 2, we build the framework for weak solutions of (1.6) involving L1 data. Section 3 is devoted to solve existence and uniqueness of weak solution of (1.6), where the absorption is subcritical and ν is a related Radon measure. Finally, we deal with the super critical case in Section 4 by characterized by Bessel Capacity.

    Throughout this section we assume N2 and μμ0 and in what follows, we denote by ci with iN a generic positive constant. We first recall some classical comparison results for Hardy operator Lμ. The next lemma is proved in [12,Lemma 2.1], and in [15,Lemma 2.1] if h(s)=sp.

    Lemma 2.1. Let G be a bounded domain in RN such that 0ˉG, L:G×[0,+)[0,+) be a continuous function satisfying for any xG,

    h(x,s1)h(x,s2)ifs1s2,

    and functions u,vC1,1(G)C(¯G) satisfy

    {Lμu+h(x,u)Lμv+h(x,v)in G,Lμ+h(x,u)uvon G,

    then

    uvinG.

    As an immediate consequence we have

    Lemma 2.2. Assume that Ω is a bounded C2 domain containing 0. If L is a continuous function as in Lemma 2.1 verifying that L(x,0)=0 for all xΩ, and uC1,1(Ω)C(¯Ω) satisfies

    {LLμu+L(x,u)=0 in Ω,LLμ+L(x,u)u=0 on Ω,limx0u(x)Φ1μ(x)=0. (2.1)

    Then u=0.

    We recall that if uL1(Ω,|x|1dγμ) is a weak solution of

    {Lμu=f in Ω,u=0 on Ω, (2.2)

    in the sense of Definition 1.1, then it satisfies that

    ΩuLμ(ξ)dγμ(x)=Ωfξdγμ(x)forall ξXμ(Ω). (2.3)

    If u is a weak solution of (2.2), there holds

    Lμu=f in D(Ω), (2.4)

    and v=Γ1μu verifies

    Lμv=Γ1μf in D(Ω), (2.5)

    a fact which is expressed by the commutating formula

    ΓμLμv=Lμ(Γμv). (2.6)

    The following form of Kato's inequality, proved in [12,Proposition 2.1], plays an essential role in the obtention a priori estimates and uniqueness of weak solution of (1.6).

    Proposition 2.1. If fL1(Ω,ρdγμ), then there exists a unique weak solution uL1(Ω,|x|1dγμ) of (2.2). Furthermore, for any ξXμ(Ω), ξ0, we have

    Ω|u|Lμ(ξ)dγμ(x)Ωsign(u)fξdγμ(x) (2.7)

    and

    Ωu+Lμ(ξ)dγμ(x)Ωsign+(u)fξdγμ(x). (2.8)

    The proof is done if ξC1,10(Ω), but it is valid if ξXμ(Ω). The next result is proved in [13,Lemma 2.3].

    Lemma 2.3. Assume that μ>μ0 and fC1(Ω) verifies

    0f(x)c2|x|τ2, (2.9)

    for some τ>τ. Let uf be the solution of

    {LLμu=f in Ω,LLμu=0 on Ω,limx0u(x)Φμ(x)=0. (2.10)

    Then there holds:

    (i) if τ<τ<τ+,

    0uf(x)c3|x|τ inΩ; (2.11)

    (ii) if τ=τ+,

    0uf(x)c4|x|τ(1+(ln|x|)+) inΩ; (2.12)

    (iii) if τ>τ+,

    0uf(x)c5|x|τ+ inΩ. (2.13)

    Proof of Theorem A. Let H1μ,0(Ω) be the closure of C0(Ω) under the norm of

    uH1μ,0(Ω)=Ω|u|2dx+μΩu2|x|2dx. (2.14)

    Then H1μ,0(Ω) is a Hilbert space with inner product

    u,vH1μ,0(Ω)=Ωu,vdx+μΩuv|x|2dx (2.15)

    and the embedding H1μ,0(Ω)Lp(Ω) is continuous and compact for p[2,2) with 2=2NN2 when N3 and any p[2,) if N=2. Furthermore, if ηC10(¯Ω) has the value 1 in a neighborhood of 0, then ηΓμH1μ,0(Ω). We put

    G(v)=v0g(s)ds,

    then G is a convex nonnegative function. If ρνL2(Ω) we define the functional Jν in the space H1μ,0(Ω) by

    Jν(v)={12v2H1μ,0(Ω)+ΩG(v)dxΩνvdxif G(v)L1(Ω,dγμ),if G(v)L1(Ω,dγμ). (2.16)

    The functional J is strictly convex, lower semicontinuous and coercive in H1μ,0(Ω), hence it admits a unique minimum u which satisfies

    u,vH1μ,0(Ω)+Ωg(u)vdx=ΩνvdxforallvH1μ,0(Ω).

    If ξC1,10(Ω) then v=ξΓμH1μ,0(Ω), then

    u,ξΓμH1μ,0(Ω)=Ωu,ξdγμ(x)+Ω(u,Γμ+μΓμ|x|2)ξdx, (2.17)

    and

    Ωu,Γμξdx=Ωξ,ΓμudxΩuξΔΓμdx,

    since C0(Ω) is dense in H1μ,0(Ω). Furthermore, since uLp(Ω) for any p<2, |x|1uL1(Ω,dγμ), hence uLμξL1(Ω,dγμ). Therefore

    Ω(uLμξ+g(u)ξ)dγμ=Ωνξdγμ. (2.18)

    Next, if νL1(Ω,ρdγμ) we consider a sequence {νn}C0(Ω) converging to ν in L1(Ω,ρdγμ) and denote by {un} the sequence of the corresponding minimizing problem in H1μ,0(Ω). By Proposition 2.1 we have that, for any ξXμ(Ω),

    Ω(|unum|Lμξ+(g(un)g(um))sgn(unum)ξ)dγμΩ(νnνm)sgn(unum)ξdγμ. (2.19)

    We denote by η0 the solution of

    Lμη=1in  Ω, η=0on  Ω. (2.20)

    Its existence is proved in [12,Lemma 2.2], as well as the estimate 0η0c6ρ for some c6>0. Since g is monotone, we obtain from (2.19)

    Ω(|unum|+|g(un)g(um)|η0)dγμΩ|νnνm|η0dγμ. (2.21)

    Hence {un} is a Cauchy sequence in L1(Ω,dγμ). Next we construct a solution η1 to

    Lμη=|x|1 in Ω,η=0on Ω. (2.22)

    For this aim, we consider for 0<θ<1, the function yθ(x)=1|x|2θNθ+2τ+(μ) which verifies

    Lμyθ=|x|θ in B1,yθ=0on B1

    (we can always assume that ΩB1). As in the proof of [12,Lemma 2.2], for any x0Ω there exists r0>0 such that Br0(x0)Ω and for t>0 small enough wt,x0(x)=t(r20|xx0|2) is a subsolution of (2.20), hence of (2.22). Therefore there exists ηθ such that

    Lμηθ=|x|θ in Ω,ηθ=0on Ω. (2.23)

    Furthermore θηθ is increasing and bounded from above by y1, hence it converges to a function η1 which satisfies (2.23). Then

    Ω(|unum||x|θ+|g(un)g(um)|ηθ)dγμΩ|νnνm|ηθdγμ. (2.24)

    Letting θ1, we obtain as a complement of (2.21) that

    Ω(|unum||x|+|g(un)g(um)|η1)dγμΩ|νnνm|η1dγμ. (2.25)

    Hence {un} is a Cauchy sequence in L1(Ω,|x|1dγμ) with limit u and {g(un)} is a Cauchy sequence in L1(Ω,ρdγμ) with limit g(u). Then (2.18) holds. As for (1.31) it is a consequence of (2.19) and (1.32) is proved similarly.

    In this section as well as in the next one we always assume that N3 and μμ0, or N=2 and μ>0, since the case N=2, μ=0, which necessitates specific tools, has already been completely treated in [26].

    We recall that the set M(Ω;Γμ) of Radon measures is defined in the introduction as the set of measures in Ω satisfying (1.25), and any positive measure νM(Ω;Γμ) is naturaly extended by formula (1.26) as a positive measure in Ω. The space ¯M(Ω;Γμ) is the space of measures ν on C0(Ω) such that

    ν=νΩ+kδ0, (3.1)

    where νΩM(Ω;Γμ).

    Lemma 3.1. If ν¯M(Ω;Γμ), then there exists a unique weak solution uL1(Ω,|x|1dγμ) to

    {Lμu=νinΩ,Lμu=0onΩ. (3.2)

    This solution is denoted by Gμ[ν], and this defines the Green operator of Lμ in Ω with homogeneous Dirichlet conditions.

    Proof.By linearity and using the result of [12] on fundamental solution, we can assume that k=0 and ν0. Let {νn}L1(Ω,ρdγμ) be a sequence such that νn0 and

    ΩξΓμνndxΩξd(Γμν)forallξXμ(Ω),

    and by Proposition 2.1, we may let un be the unique, nonnegative weak solution of

    {Lμun=νninΩ,Lμun=0onΩ, (3.3)

    with nN. There holds

    ΩunLμξdγμ(x)=ΩξνnΓμdx forallξXμ(Ω). (3.4)

    Then un0 and using the function η1 defined in the proof of Theorem A for test function, we have

    c6Ωun|x|dγμ=Ωη1Γμνndxc7νM(Ω,Γμ), (3.5)

    which implies that {un} is bounded in L1(Ω,1|x|dγμ(x)).

    For any ϵ>0 sufficiently small, set the test function ξ in {ζXμ(Ω):ζ=0 in Bϵ}, then we have that

    ΩBϵ(0)unLμξdγμ(x)=ΩBϵ(0)ξνnΓμdx forallξXμ(Ω). (3.6)

    Therefore, for any open sets O and O verifying ˉOOˉOΩBϵ(0), there exists c8>0 independent of n such that

    unL1(O)c8νM(Ω,Γμ).

    Note that in ΩBϵ, the operator Lμ is uniformly elliptic and the measure dγμ is equivalent to the N-dimensional Lebesgue measure dx, then [30,Corollary 2.8] could be applied to obtain that for some c9,c10>0 independent of n but dependent of O,

    unW1,q(O)c9unL1(O)+˜νnL1(Ω,dγμ)c10νM(Ω,Γμ).

    That is, {un} is uniformly bounded in W1,qloc(Ω{0}).

    As a consequence, since ϵ is arbitrary, there exist a subsequence, still denoted by {un}n and a function u such that

    unua.e. in Ω.

    Meanwhile, we deduce from Fatou's lemma,

    Ωu|x|dγμc11Ωη1Γμdν. (3.7)

    Next we claim that unu in L1(Ω,|x|1dγμ). Let ωΩ be a Borel set and ψω be the solution of

    {Lμψω=|x|1χωin Ω,Lμψω=0on Ω. (3.8)

    Then ψωη1, thus it is uniformly bounded. Assuming that ΩB1, clearly ψω is bounded from above by the solution Ψω of

    {LμΨω=|x|1χωinB1,LμΨω=0onB1, (3.9)

    and by standard rearrangement, supB1ΨωsupB1Ψrω, where Ψrω solves

    {LμΨrω=|x|1Bϵ(|ω|)inB1,LμΨrω=0on B1, (3.10)

    where ϵ(|ω|)=(|ω||B1)1N. Then Ψrω is radially decreasing and lim|ω|0Ψrω=0, uniformly on B1. This implies

    lim|ω|0ψω(x)=0uniformly in B1. (3.11)

    Using (3.4) with ξ=ψω,

    ωun|x|dγμ(x)=ωνnΓμψωdxsupΩψωωνnΓμdx0  as|ω|0.

    Therefore {un} is uniformly integrable for the measure |x|1dγμ. Letting n in (3.4) implies the claim.

    We assume that g:RR is a continuous nondecreasing function such that rg(r)0 for all rR. The next lemma dealing with problem

    {Lμu+g(u)=kδ0in Ω,Lμ+g(u)u=0on Ω, (3.12)

    is an extension of [22,Theorem 3.1,Theorem 3.2]. Actually it was quoted without demonstration in this article as Remark 3.1 and Remark 3.2 and we give here their proof. Notice also that when N3 and μ=μ0 we give a more complete result than [22,Theorem 3.2].

    Lemma 3.2. Let kR and g:RR be a continuous nondecreasing function such that rg(r)0 for all rR. Then problem (3.12) admits a unique solution u:=ukδ0 if one of the following conditions is satisfied:

    (i) N2, μ>μ0 and g satisfies (1.21);

    (ii) N3, μ=μ0 and g satisfies (1.35).

    Proof.Without loss of generality we assume BRΩB1 for some R(0,1).

    (ⅰ) The case μ>μ0. It follows from [22,Theorem 3.1] that for any kR there exists a radial function vk,1 (resp. vk,R) defined in B1 (resp. BR) satisfying

    Lμv+g(v)=0inB1(resp.inBR), (3.13)

    vanishing respectively on B1 and BR and satisfying

    limx0vk,1(x)Φμ(x)=limx0vk,R(x)Φμ(x)=kcμ. (3.14)

    Furthermore g(vk,1)L1(B1,dγμ) (resp. g(vk,R)L1(BR,dγμ)). Assume that k>0, then 0vk,Rvk,1 in BR and the extension of ˜vk,R by 0 in Ω is a subsolution of (3.13) in Ω and it is still smaller than vk,1 in Ω. By the well known method on super and subsolutions (see e.g., [32,Theorem 1.4.6]), there exists a function u in Ω satisfying ˜vk,Ruvk,1 in Ω and

    {Lμu+g(u)=0in Ω,Lμ+g(u)u=0on Ω,,limx0u(x)Φμ(x)=kcμ. (3.15)

    By standard methods in the study of isolated singularities (see e.g., [22,29,16,17] for various extensions)

    limx0|x|1τu(x)=τkcμx|x|. (3.16)

    For any ϵ>0 and ξXμ(Ω),

    0=ΩBϵ(Lμu+g(u))Γμξdx0=ΩBϵuLμξdγμ(x)+(ττ+)kcμ|SN1|ξ(0)(1+o(1)).

    Using (1.15), we obtain

    ΩuLμξdγμ(x)=kξ(0). (3.17)

    (ⅱ) The case μ=μ0. In [22,Theorem 3.2] it is proved that if for some b>0 there holds

    I:=1g(btN2N+2lnt)t2dt<, (3.18)

    then there exists a solution of (1.22) satisfying (1.19) with γ=(N+2)b2. Actually we claim that the finiteness of this integral is independent of the value of b. To see that, set s=tN2N+2, then

    I=N+2N21g(βslns)s2NN2ds,

    with β=N+2N2b. Set τ=βslns, then

    lns(1+lnlnslns+lnβlns)lns=lnτ(1+o(1))ass.

    We infer that for ϵ>0 there exists sϵ>2 and τϵ=sϵlnsϵ such that

    (1ϵ)βN+2N2sϵg(βslns)s2NN2dsτϵg(τ)(lnτ)N+2N2τ2NN2dτ(1+ϵ)βN+2N2, (3.19)

    which implies the claim. Next we prove as in case (i) the existence of vk,1 (resp. vk,R) defined in B1 (resp. BR) satisfying

    Lμ0v+g(v)=0inB1(resp.inBR), (3.20)

    vanishing respectively on B1 and BR and satisfying

    limx0vk,1(x)Φμ(x)=limx0vk,R(x)Φμ(x)=kcμ0. (3.21)

    We end the proof as above.

    Remark.It is important to notice that conditions (1.21) and (1.35) (or equivalently (1.23)) are also necessary for the existence of radial solutions in a ball, hence their are also necessary for the existence of non radial solutions of the Dirichlet problem (3.12).

    We consider now the problem

    {Lμu+g(u)=νin Ω,Lμ+g(u)u=0on Ω, (3.22)

    where νM(Ω;Γμ).

    Lemma 3.1. Let μμ0. Assume that g satisfies (1.8) if N3 or the β±(g) defined by (1.9) satisfy β(g)<0<β+(g) if N=2, and let νM(Ω;Γμ). If N=2, we assume that ν can be decomposed as ν=νr+jαjδaj where νr has no atom, the αj satisfy (1.10) and {aj}Ω. Then problem (3.22) admits a unique weak solution.

    Proof.We assume first that ν0 and let r0=dist(x,Ω). For 0<σ<r0, we set Ωσ=Ω{¯Bσ} and νσ=νχΩσ and for 0<ϵ<σ we consider the following problem in Ωϵ

    {Lμu+g(u)=νσin Ωϵ,Lμ+g(u)u=0on Ω,Lμ+g(u)u=0on Bϵ. (3.23)

    Since 0Ωϵ problem (3.23) admits a unique solution uνσ,ϵ which is smaller than Gμ[ν] and satisfies

    0uνσ,ϵuνσ,ϵinΩϵforall0<ϵϵand0<σσ.

    For any ξC1,1c(Ω) and ϵ small enough so that supp(ξ)Ωϵ, there holds

    Ω(uνσ,ϵLμξ+g(uνσ,ϵ)ξ)dγμ=ΩξΓμdνσ.

    There exists uνσ=limϵ0uνσ,ϵ and it satisfies the identity

    Ω(uνσLμξ+g(uνσ)ξ)dγμ=ΩξΓμdνσforallξC1,1c(Ω). (3.24)

    As a consequence of the maximum principle and Lemma 3.1, there holds

    0uνσGμ[νσ]Gμ[ν]. (3.25)

    Since νσ vanishes in Bσ, Gμ[νσ](x)c12Φμ(x) in a neighborhood of 0, and uνσ is also bounded by c12Φμ in this neighborhood. This implies that Φ1μ(x)uνσ(x)c as x0 for some c0. Next let ξC1,1c(Ω),

    n(r)={21(1+cos(2π|x|σ))if |x|σ2,0if |x|>σ2,

    and ξn=ξn. Then

    Ω(uνσLμξn+g(uνσ)ξn)dγμ=ΩξnΓμdνσ. (3.26)

    When n,

    ΩξnΓμdνσΩξΓμdνσ

    and

    Ωg(uσ)ξndγμΩg(uσ)ξdγμ.

    Now for the first inegral term in (3.26), we have

    ΩuνσLμξndγμ=ΩnuσLμξdγμ+In+IIn+IIIn,

    where

    In=Bσ2uσξΔndγμ,
    IIn=2Bσ2uσξ,ndγμ

    and

    IIIn=τ+Bσ2uσx|x|2,ndγμ.

    Using the fact that ξ(x)ξ(0) and ξ(x)ξ(0) we easily infer that In, IIn and IIIn converge to 0 when n, the most complicated case being the case when μ=μ0, which is the justification of introducing the explicit cut-off function n. Therefore (3.24) is still valid if it is assumed that ξC1,1c(Ω). This means that uνσ is a weak solution of

    {Lμu+g(u)=νσin Ω,Lμ+g(u)u=0on Ω. (3.27)

    Furthermore uνσ is unique and uνσ is a decreasing function of \sigma with limit u when \sigma\to 0 . Taking \eta_1 as test function, we have

    { \int_{{\Omega}}^{{}}}\left(c|x|^{-1}u_{\nu_\sigma} +\eta_1g(u_{\nu_\sigma})\right)d\gamma_\mu = { \int_{{\Omega}}^{{}}}\eta_1d\left(\gamma_\mu\nu_\sigma\right)\leq { \int_{{\Omega}}^{{}}}\eta_1d\left(\gamma_\mu\nu\right).

    By using the monotone convergence theorem we infer that u_{\nu_\sigma}\to u in L^1(\Omega, |x|^{-1}d\gamma_\mu) and g(u_{\nu_\sigma})\to g(u_\nu) in L^1(\Omega, d\gamma_\mu) . Hence u = u_\nu is the weak solution of (3.22).

    Next we consider a signed measure \nu = \nu_+-\nu_- . We denote by u_{\nu^\sigma_+, \epsilon} , u_{-\nu^\sigma_-, \epsilon} and u_{\nu^\sigma, \epsilon} the solutions of (3.23) in \Omega^\epsilon corresponding to \nu^\sigma_+ , -\nu^\sigma_- and \nu^\sigma, \epsilon respectively. Then

    \begin{equation} u_{-\nu^\sigma_-,\epsilon}\leq u_{\nu^\sigma,\epsilon}\leq u_{\nu^\sigma_+,\epsilon}. \end{equation} (3.28)

    The correspondence \epsilon\mapsto u_{\nu^\sigma_+, \epsilon} and \epsilon\mapsto u_{-\nu^\sigma_-, \epsilon} are respectively increasing and decreasing. Furthermore u_{\nu^\sigma, \epsilon} is locally bounded, hence by local compactness and up to a subsequence u_{\nu^\sigma, \epsilon} converges a.e. in B_\epsilon to some function u_{\nu^\sigma} . Since u_{-\nu^\sigma_-, \epsilon}\to u_{-\nu^\sigma_-} and u_{\nu^\sigma_+, \epsilon}\to u_{\nu^\sigma_+} in L^1(\Omega, |x|^{-1}d\gamma_\mu) , it follows by Vitali's theorem that u_{\nu^\sigma, \epsilon}\to u_{\nu^\sigma} in L^1(\Omega, |x|^{-1}d\gamma_\mu) . Similarly, using the monotonicity of g , g(u_{\nu^\sigma, \epsilon})\to g(u_{\nu^\sigma}) in L^1(\Omega, d\gamma_\mu) . By local compactness, u_{\nu^\sigma}\to u a.e. in \Omega . Using the same argument of uniform integrability, we have that u_{\nu^\sigma}\to u in L^1(\Omega, |x|^{-1}d\gamma_\mu) and g(u_{\nu^\sigma})\to g(u) in L^1(\Omega, d\gamma_\mu) when \sigma\to 0 and u satisfies

    \begin{equation} { \int_{{\Omega}}^{{}}}\left(u{\mathcal L}_\mu^*\xi+g(u)\xi\right) d\gamma_\mu = { \int_{{\Omega}}^{{}}}\xi d(d\gamma_\mu\nu)\quad{\rm for\ any} \ \xi\in \mathbb{C}^{1,1}_c(\Omega^*). \end{equation} (3.29)

    Finally the singularity at 0 is removable by the same argument as above which implies that u solves (3.29) and thus u = u_\nu is the weak solution of (3.22).

    The idea is to glue altogether two solutions one with the Dirac mass and the other with the measure in \Omega^* , this is the reason why the weak \Delta_2 condition is introduced.

    Lemma 3.3. Let \nu = \nu\lfloor_{\Omega^*}+k\delta_0\in\overline{\frak M}_+(\Omega; \Gamma_\mu) and \sigma > 0 . We assume that \nu\lfloor_{\Omega^*}(\overline B_\sigma) = 0 . Then there exists a unique weak solution to (1.6).

    Proof.Set \nu_\sigma = \nu\lfloor_{\Omega^*} . It has support in \Omega_\sigma = \Omega\setminus\overline B_\sigma . For 0 < \epsilon < \sigma we consider the approximate problem in \Omega^\epsilon = \Omega\setminus\overline B_\epsilon ,

    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g(u) = \nu_\sigma&\quad\ {\rm in }\ \, \Omega^\epsilon,\\ \phantom{{\mathcal L}_\mu +g(u)} u = 0&\quad\ {\rm on }\ \partial\Omega,\\ \phantom{{\mathcal L}_\mu +g(u)} u = u_{k\delta_0}&\quad\ {\rm on }\ \partial B_\epsilon, \end{array}\right. \end{equation} (3.30)

    where u_{k\delta_0} is the solution of problem (3.12) obtained in Lemma 3.2. It follows from [30,Theorem 3.7] that problem (3.30) admits a unique weak solution denoted by U_{\nu_\sigma, \epsilon} , thanks to the fact that the operator is not singular in \Omega^\epsilon . We recall that u_{\nu_\sigma, \epsilon} is the solution of (3.23) and \mathbb G_{\mu}[\delta_0] the fundamental solution in \Omega . Then

    \begin{equation} \begin{array} {lll} \max\{u_{k\delta_0},u_{\nu_\sigma,\epsilon}\}\leq U_{\nu_\sigma,\epsilon}\leq u_{\nu_\sigma}+k\mathbb G_{\mu}[\delta_0]\quad{\rm in }\,\;\Omega^\epsilon. \end{array} \end{equation} (3.31)

    Furthermore one has U_{\nu_\sigma, \epsilon}\leq U_{\nu_\sigma, \epsilon'} in \Omega^\epsilon , for 0 < \epsilon' < \epsilon . Since u_{\nu_\sigma}\leq u_{\nu} and both k\mathbb G_{\mu}[\delta_0] and u_{\nu} belong to L^1(\Omega, |x|^{-1}d\gamma_\mu) , then it follows by the monotone convergence theorem that U_{\nu_\sigma, \epsilon} converges in L^1(\Omega, |x|^{-1}d\gamma_\mu) and almost everywhere to some function U_{\nu_\sigma}\in L^1(\Omega, |x|^{-1}d\gamma_\mu) . Since \Gamma_\mu is a supersolution for equation {\mathcal L}_\mu u+g(u) = 0 in B_\sigma , for 0 < \epsilon_0 < \sigma there exists c_{13}: = c_{13}(\epsilon_0, \sigma) > 0 such that

    u_{\nu_\sigma}(x)\leq c_{13}|x|^{\tau_+}\quad{\rm for\, all }\,\;x\in B_{\epsilon_0}.

    For any \delta > 0 , there exists \epsilon_0 such that u_{\nu_\sigma}(x)\leq\delta\mathbb G_{\mu}[\delta_0](x) in B_{\epsilon_0} . Hence u_{\nu_\sigma}+k\mathbb G_{\mu}[\delta_0]\leq (k+\delta)\mathbb G_{\mu}[\delta_0] in B_{\epsilon_0} , which implies

    \begin{equation} g(U_{\nu_\sigma,\epsilon})\leq g((k+\delta)\mathbb G_{\mu}[\delta_0]) \quad{\rm in }\,\;B_{\epsilon_0}\setminus\overline B_{\epsilon}, \end{equation} (3.32)

    and

    \begin{array} {lll}{ \int_{{\Omega}}^{{}}}g((k+\delta)\mathbb G_{\mu}[\delta_0])d\gamma_\mu(x)\leq { \int_{{B_1}}^{{}}}g(\tfrac{k+\delta}{c_\mu}|x|^{\tau_-})|x|^{\tau_+}dx = |S^{N-1}|{ \int_{{0}}^{{1}}}g(\tfrac{k+\delta}{c_\mu}r^{\tau_-})r^{\tau_++N-1}dr\\ \phantom{{ \int_{{\Omega}}^{{}}}g((k+\delta)\mathbb G_{\mu}[\delta_0])d\gamma_\mu(x)} = c_{14}{ \int_{{\frac{k+\delta}{c_\mu}}}^{{\infty}}}g(t)t^{-2+\frac{2}{\tau_-}} = c_{14}{ \int_{{\frac{k+\delta}{c_\mu}}}^{{\infty}}}g(t)t^{-1-p^*_\mu}dt \\ \phantom{-----------\, } \lt \infty. \end{array}

    Now, using the local \Delta_2 -condition, with a' = \frac{k}{c_\mu}\epsilon_0^{\tau_-} , we see that

    \begin{equation} g(U_{\nu_\sigma,\epsilon})\leq g(u_{\nu_\sigma}+\tfrac{k}{c_\mu}\epsilon_0^{\tau_-})\leq K(a')\left(g(u_{\nu_\sigma})+g(a')\right) \quad{\rm in }\,\;\Omega^{\epsilon_0}. \end{equation} (3.33)

    From (3.32) and (3.33) we infer that g(U_{\nu_\sigma, \epsilon}) is bounded in L^1(\Omega^\epsilon, d\gamma_\mu) independently of \epsilon . If \xi\in C_0^{1, 1}(\Omega^*) , we have for \epsilon > 0 small enough so that supp \, (\xi)\subset \Omega^\epsilon

    { \int_{{\Omega}}^{{}}}\left(U_{\nu_\sigma,\epsilon}{\mathcal L}^*_\mu\xi+g(U_{\nu_\sigma,\epsilon})\xi\right)d\gamma_\mu = { \int_{{\Omega}}^{{}}}\xi\Gamma_\mu d\nu_\sigma.

    Letting \epsilon\to 0 we obtain that

    \begin{equation} { \int_{{\Omega}}^{{}}}\left(U_{\nu_\sigma}{\mathcal L}^*_\mu\xi+g(U_{\nu_\sigma})\xi\right)d\gamma_\mu = { \int_{{\Omega}}^{{}}}\xi\Gamma_\mu d\nu_\sigma. \end{equation} (3.34)

    Let \xi\in C_0^{1, 1}(\overline\Omega) and \eta_n\in C^{1, 1}(\mathbb R^N) be a nonnegative cut-off function such that 0\leq\eta_n\leq 1 , \eta_n\equiv 1 in B^c_{\frac 2n} , \eta_n\equiv 0 in B_{\frac 1n} , and choose \xi\eta_n for test function. Then

    \begin{equation} { \int_{{\Omega}}^{{}}}\left(\eta_nU_{\nu_\sigma}{\mathcal L}^*_\mu\xi+g(U_{\nu_\sigma})\eta_n\xi\right)d\gamma_\mu -{ \int_{{\Omega}}^{{}}}U_{\nu_\sigma}A_nd\gamma_\mu = { \int_{{\Omega}}^{{}}}\xi\eta_n\Gamma_\mu d\nu_\sigma, \end{equation} (3.35)

    with

    \begin{equation} A_n = \xi\Delta\eta_n+2\langle\nabla\eta_n,\nabla\xi\rangle+2\tau_+\xi\langle\nabla\eta_n,\tfrac{x}{|x|^2}\rangle. \end{equation} (3.36)

    Clearly

    \lim\limits_{n\to\infty}{ \int_{{\Omega}}^{{}}}\left(\eta_nU_{\nu_\sigma}{\mathcal L}^*_\mu\xi+g(U_{\nu_\sigma})\eta_n\xi\right)d\gamma_\mu = { \int_{{\Omega}}^{{}}}\left(U_{\nu_\sigma}{\mathcal L}^*_\mu\xi+g(U_{\nu_\sigma})\xi\right)d\gamma_\mu,

    and

    \lim\limits_{n\to\infty}{ \int_{{\Omega}}^{{}}}\xi\eta_n\Gamma_\mu d\nu_\sigma = { \int_{{\Omega}}^{{}}}\xi\Gamma_\mu d\nu_\sigma.

    We take

    \eta_n(r) = \left\{ \begin{array} {lll} \frac12-\frac12\cos\left(n\pi\left(r-\frac1n\right)\right)&\ \quad{\rm if}\,\;\frac1n\leq r\leq\frac2n,\\ 0&\ \quad{\rm if}\,\;r \lt \frac1n,\\ 1&\ \quad{\rm if}\,\;r \gt \frac2n. \end{array}\right.

    Then

    A_n = \frac{n^2\pi^2}{2}\cos\left(n\pi\left(r-\frac1n\right)\right)+\frac{n\pi}{2}\frac{N-1+2\tau_+}{r}\sin\left(n\pi\left(r-\frac1n\right)\right).

    Letting \epsilon\to 0 in (3.31), we have

    U_{\nu_\sigma}(x) = k\mathbb G_{\mu}[\delta_0](x)(1+o(1)) = \frac{k}{c_\mu}|x|^{\tau_-}(1+o(1))\qquad{\rm as}\,\; x\to 0.

    Hence

    \begin{equation} \lim\limits_{n\to\infty}{ \int_{{\Omega}}^{{}}}U_{\nu_\sigma}A_nd\gamma_\mu = \frac{2k|S^{N-1}|\sqrt{\mu-\mu_0}}{c_\mu} = k. \end{equation} (3.37)

    This implies that U_{\nu_\sigma} is the solution of (1.6) with \nu replaced by \nu_\sigma+k\delta_0 .

    Lemma 3.4. Let \nu = \nu\lfloor_{\Omega^*}+k\delta_0\in\overline{\frak M}_+(\Omega; \Gamma_\mu) . Then there exists a unique weak solution to (1.6).

    Proof. Following the notations of Lemma 3.3, we set \nu_\sigma = \chi_{_{B_\sigma}}\nu\lfloor_{\Omega^*} and denote by U_{\nu_\sigma} the solution of

    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g(u) = \nu_\sigma+k\delta_0&\quad{\rm in }\,\ \Omega,\\[1.5mm] \phantom{{\mathcal L}_\mu +g(u)} u = 0&\quad{\rm on }\ \partial\Omega. \end{array}\right. \end{equation} (3.38)

    It is a positive function and there holds

    \begin{equation} \max\{u_{k\delta_0},u_{\nu_\sigma}\}\leq U_{\nu_\sigma}\leq u_{\nu_\sigma}+k\mathbb G_{\mu}[\delta_0]\qquad{\rm in }\,\;\Omega. \end{equation} (3.39)

    Since the mapping \sigma\mapsto U_{\nu_\sigma} is decreasing, then there exists U = \lim_{\sigma\to 0}U_{\nu_\sigma} and U satisfies (3.39). As a consequence U_{\nu_\sigma}\to U in L^1(\Omega, |x|^{-1}d\gamma_\mu) as \sigma\to 0 . We take \eta_1 for test function in the weak formulation of (3.39), then

    { \int_{{\Omega}}^{{}}}\left(|x|^{-1}U_{\nu_\sigma}+\eta_1g(U_{\nu_\sigma})\right) d\gamma_\mu = { \int_{{\Omega}}^{{}}}\eta_1\Gamma_\mu d\nu_\sigma+k\eta_1(0).

    By the monotone convergence theorem we obtain the identity

    { \int_{{\Omega}}^{{}}}\left(|x|^{-1}U+\eta_1g(U)\right) d\gamma_\mu = { \int_{{\Omega}}^{{}}}\eta_1d(\gamma_\mu\nu\lfloor_{\Omega^*})+k\eta_1(0) = { \int_{{\Omega}}^{{}}}\eta_1d(\gamma_\mu\nu),

    and the fact that g(U_{\nu_\sigma})\to g(U) in L^1(\Omega, \rho d\gamma_\mu) . Going to the limit as \sigma\to 0 in the weak formulation of (3.38), we infer that U = u_{\nu} is the solution of (1.6).

    Proof of Theorem B. Assume \nu = \nu\lfloor_{\Omega^*}+k\delta_0\in\overline{\frak M}(\Omega; \Gamma_\mu) satisfies k > 0 and let \nu_+ = \nu_+\lfloor_{\Omega^*}+k\delta_0 and \nu_- = \nu_-\lfloor_{\Omega^*} the positive and the negative part of \nu . We denote by u_{\nu_+} and u_{-\nu_-} the weak solutions of (1.6) with respective data \nu_+ and -\nu_- . For 0 < \epsilon < \sigma such that \overline B_\sigma\subset\Omega , we set \nu_\sigma = \chi_{_{B_\sigma}}\nu\lfloor_{\Omega^*} , with positive and negative part \nu_{\sigma+} and \nu_{\sigma-} and denote by U_{\nu_{\sigma+}, \epsilon} , U_{-\nu_{\sigma-}, \epsilon} and U_{\nu_{\sigma}, \epsilon} the respective solutions of

    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g(u) = \nu_{\sigma+}&\quad{\rm in }\ \Omega^\epsilon,\\ \phantom{{\mathcal L}_\mu +g(u)} u = 0&\quad{\rm on }\ \partial\Omega,\\ \phantom{{\mathcal L}_\mu +g(u)} u = u_{k\delta_0}&\quad{\rm on }\ \partial B_\epsilon, \end{array}\right. \end{equation} (3.40)
    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g(u) = -\nu_{\sigma-}&\ \quad{\rm in }\,\ \Omega^\epsilon,\\ \phantom{{\mathcal L}_\mu +g(u)} u = 0&\ \quad{\rm on }\ \partial\Omega\cup \partial B_\epsilon, \end{array}\right. \end{equation} (3.41)

    and

    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g(u) = \nu_{\sigma}&\quad{\rm in }\,\ \Omega^\epsilon,\\ \phantom{{\mathcal L}_\mu +g(u)} u = 0&\quad{\rm on }\ \partial\Omega,\\ \phantom{{\mathcal L}_\mu +g(u)} u = u_{k\delta_0}&\quad{\rm on }\ \partial B_\epsilon, \end{array}\right. \end{equation} (3.42)

    then

    \begin{equation} U_{-\nu_{\sigma-},\epsilon}\leq U_{\nu_{\sigma},\epsilon}\leq U_{\nu_{\sigma+},\epsilon}. \end{equation} (3.43)

    Furthermore U_{\nu_{\sigma+}, \epsilon} satisfies (3.31) and, in coherence with the notations of Lemma 3.1 with \nu_\sigma replaced by -\nu_{\sigma-} ,

    \begin{equation} u_{-\nu_{\sigma-}}\leq U_{-\nu_{\sigma-},\epsilon} = u_{-\nu_{\sigma-},\epsilon}. \end{equation} (3.44)

    By compactness, \{U_{\nu_{\sigma}, \epsilon_j}\}_{\epsilon_j} converges almost everywhere in \Omega to some function U for some sequence \{\epsilon_j\} converging to 0 . Moreover U_{\nu_{\sigma}, \epsilon_j} converges to U_{\nu_\sigma} in L^1(\Omega, |x|^{-1}d\gamma_\mu) because U_{\nu_{\sigma+}, \epsilon}\to u_{\nu_{\sigma+}+k\delta_0} and u_{-\nu_{\sigma-}, \epsilon}\to u_{-\nu_{\sigma-}} in L^1(\Omega, |x|^{-1}d\gamma_\mu) by Lemma 3.1 and (3.43) holds. Similarly g(U_{\nu_{\sigma}, \epsilon_j}) converges to g(U) in L^1(\Omega, \rho d\gamma_\mu) . This implies that U satisfies

    { \int_{{\Omega}}^{{}}}\left(U{\mathcal L}^*_\mu\xi+g(U)\xi\right)d\gamma_\mu = { \int_{{\Omega}}^{{}}}\xi\Gamma_\mu d\nu_\sigma\quad{\rm for\ all}\ \,\xi\in C^{1,1}_0(\Omega^*).

    In order to use test functions in C^{1, 1}_0(\overline\Omega) , we proceed as in the proof of Lemma 3.3, using the inequality (derived from (3.43)) and the

    \begin{equation} u_{-\nu_{\sigma-}}\leq U_{\nu_\sigma}\leq u_{\nu_{\sigma+}+k\delta_0}. \end{equation} (3.45)

    By (3.33), u_{\nu_{\sigma+}+k\delta_0}(x) = k\mathbb G_{\mu}[\delta_0](x)(1+o(1)) when x\to 0 and u_{-\nu_{\sigma-}} = o(\mathbb G_{\mu}[\delta_0]) near 0 . This implies U_{\nu_\sigma}(x) = k\mathbb G_{\mu}[\delta_0](x)(1+o(1)) as x\to 0 and we conclude as in the proof of Lemma 3.3 that u = u_{\nu_\sigma+k\delta_0} .

    At end we let \sigma\to 0 . Up to a sequence \{\sigma_j\} converging to 0 such that u_{\nu_{\sigma_j}+k\delta_0}\to U almost everywhere and

    \begin{equation} u_{-\nu_{-}}\leq U\leq u_{\nu_{+}+k\delta_0}. \end{equation} (3.46)

    Since by Lemma 3.4, u_{\nu_{\sigma+}+k\delta_0}\to u_{\nu_{+}+k\delta_0} in L^1(\Omega, |x|^{-1}d\gamma_\mu) and g(u_{\nu_{\sigma+}+k\delta_0})\to g(u_{\nu_{+}+k\delta_0}) in L^1(\Omega, \rho d\gamma_\mu) , we infer that the convergences of u_{\nu_{\sigma_j}+k\delta_0}\to U and g(u_{\nu_{\sigma_j}+k\delta_0})\to g(U) occur respectively in the same space, therefore U = u_{\nu+k\delta_0} , it is the weak solution of (1.6).

    Remark.In the course of the proof we have used the following result which is independent of any assumption on g except for the monotonicity: If \{\nu_n\}\subset \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) is an increasing sequence of g -good measures converging to a measure \nu\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) , then \nu is a g -good measure, \{u_{\nu_n}\} converges to u_{\nu} in L^1(\Omega, |x|^{-1}d\gamma_\mu) and \{g(u_{\nu_n})\} converges to g(u_{\nu}) in L^1(\Omega, \rho d\gamma_\mu) .

    The construction of a solution is essentially similar to the one of Theorem B, the only modifications lies in Lemma 3.3. Estimate (3.31) remains valid with

    \begin{equation} u_{k\delta_0}(x) = \tfrac{k}{|S^{N-1}|}|x|^{\frac{2-N}{2}}\ln |x|^{-1}(1+o(1)) = k\mathbb G_{\mu}[\delta_0](x)(1+o(1))\quad{\rm as}\,\;x\to 0. \end{equation} (3.47)

    Since u_{\nu_\sigma}(x)\leq c_{15}|x|^{\frac{2-N}{2}} , (3.32) holds with \delta > 0 arbitrarily small. Next

    \begin{array} {lll}{ \int_{{\Omega}}^{{}}}g((k+\delta)\mathbb G_{\mu}[\delta_0])d\gamma_\mu(x)\leq { \int_{{B_1}}^{{}}}g\left(\tfrac{k+\delta}{|S^{N-1}|}|x|^{\frac{2-N}{2}}\ln |x|^{-1}\right)|x|^{\frac{2-N}{2}}dx\\\phantom{{ \int_{{\Omega}}^{{}}}g((k+\delta)\mathbb G_{\mu}[\delta_0])d\gamma_\mu(x)} = |S^{N-1}|{ \int_{{0}}^{{1}}}g\left(\tfrac{k+\delta}{|S^{N-1}|}r^{\frac{2-N}{2}}\ln r^{-1}\right)r^{\frac N2}dr \\\phantom{{ \int_{{\Omega}}^{{}}}g((k+\delta)\mathbb G_{\mu}[\delta_0])d\gamma_\mu(x)} = c_{16}{ \int_{{c'}}^{{\infty}}}g(t\ln t)t^{-\frac{2N}{N-2}} \lt \infty, \end{array}

    by (3.19) and (1.35). The end of the proof for Theorem C is similar to the one of Theorem B.

    Proof of Corollary D. If g(r) = g_p(r) = |r|^{p-1}r , p > 1 , the existence of a solution with \nu = k\delta_0 is a direct consequence of conditions (1.34) and (1.35). If k = 0 and \nu\lfloor_{\Omega^*}\neq 0 , the existence is ensured if (1.8) holds, hence p < \frac{N}{N-2} . Assertion (ⅲ) follows.

    The notion of reduced measures introduced by Brezis, Marcus and Ponce [8] turned out to be a useful tool in the construction of solutions in a measure framework. We will develop only the aspect needed for the proof of Theorem E. If k\in\mathbb N^* , we set

    \begin{equation} g_k(r) = \left\{ \begin{array}{lll}\min\{g(r),g(k)\}&\quad{\rm if}\,\; r\geq 0,\\[1.5mm] \max\{g(r),g(-k)\}&\quad{\rm if}\,\; r \gt 0. \end{array}\right. \end{equation} (4.1)

    Since g_k satisfies (1.34) and (1.35), for any \nu\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) there exists a unique weak solution u = u_{\nu, k} of

    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g_k(u) = \nu&\quad{\rm in}\,\ \Omega,\\[1.5mm] \phantom{{\mathcal L}_\mu+g_k(u)} u = 0& \quad{\rm on} \ \partial\Omega. \end{array}\right. \end{equation} (4.2)

    Furthermore, from the proof of Lemma 3.4 and Kato's type estimates Proposition 2.1 we have that

    \begin{equation} \begin{array} {lll} 0\le u_{\nu_+,k'}\leq u_{\nu_+,k}&\ \quad{\rm for\, all}\,\ k'\geq k \gt 0. \end{array} \end{equation} (4.3)

    Proposition 4.1. Let \nu\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) . Then the sequence of weak solutions \{u_{\nu, k}\} of

    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g_k(u) = \nu&\quad{\rm in}\,\ \Omega,\\[1.5mm] \phantom{{\mathcal L}_\mu+g_k(u)} u = 0&\quad{\rm on}\ \partial\Omega, \end{array}\right. \end{equation} (4.4)

    decreases and converges, when k\to\infty , to some nonnegative function u , and there exists a measure \nu^*\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) such that 0\leq\nu^*\leq\nu and u = u_{\nu^*} .

    Proof.The proof is similar to the one of [8,Prop. 4.1]. Observe that u_{\nu, k}\downarrow u^* and the sequence \{u_{\nu, k}\} is uniformly integrable in L^1(\Omega, |x|^{-1} d\gamma_\mu) . By Fatou's lemma u satisfies

    \begin{equation} { \int_{{\Omega}}^{{}}}\left(u^*{\mathcal L}_{\mu}^*\xi+g(u^*)\xi\right) d\gamma_\mu(x)\leq { \int_{{\Omega}}^{{}}}\xi d(\Gamma_\mu \nu) \quad{\rm for\, all}\,\; \xi\in\mathbb X\mu(\Omega),\;\xi\geq 0. \end{equation} (4.5)

    Hence u^* is a subsolution of (1.6) and by construction it is the largest of all nonnegative subsolutions. The mapping

    \xi\mapsto { \int_{{\Omega}}^{{}}}\left(u^*{\mathcal L}_{\mu}^*\xi+g(u^*)\xi\right) d\gamma_\mu(x)\qquad{\rm for\, all}\,\;\xi\in C^{\infty}_c(\Omega),

    is a positive distribution, hence a measure \nu^* , called the reduced measure of \nu . It satisfies 0\leq\nu^*\leq\nu and u^* = u_{\nu^*} .

    Lemma 4.2. Let \nu, \nu'\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) . If \nu'\leq \nu and \nu = \nu^* , then \nu' = \nu'^* .

    Proof. Let u_{\nu', k} be the weak solution of the truncated equation

    \begin{equation} \left\{ \begin{array} {lll} {\mathcal L}_\mu u+g_k(u) = \nu'&\quad{\rm in}\,\ \Omega,\\[1.5mm] \phantom{{\mathcal L}_\mu+g_k(u)} u = 0&\quad{\rm on}\ \partial\Omega. \end{array}\right. \end{equation} (4.6)

    Then 0\leq u_{\nu', k}\leq u_{\nu, k} . By Proposition 4.1, we know that u_{\nu, k}\downarrow u_{\nu^*} = u_\nu and u_{\nu', k}\downarrow u'^* a.e. in L^1(\Omega, |x|^{-1} d\gamma_\mu) and then

    {\mathcal L}_\mu(u_{\nu,k}-u_\nu)+g_k(u_{\nu,k})-g_k(u_\nu) = g(u_\nu)-g_k(u_\nu),

    from what follows, by Proposition 2.1,

    { \int_{{\Omega}}^{{}}}(u_{\nu,k}-u_\nu))|x|^{-1}d\gamma_\mu+{ \int_{{\Omega}}^{{}}}|g_k(u_{\nu,k})-g_k(u_\nu)|\eta_1d\gamma_\mu\leq { \int_{{\Omega}}^{{}}}|g(u_\nu)-g_k(u_\nu)|\eta_1d\gamma_\mu.

    By the increasing monotonicity of mapping k\mapsto g_k(u_\nu) , we have g_k(u_\nu)\to g(u_\nu) in L^1(\Omega, \rho d\gamma_\mu) as k\to+\infty , hence

    { \int_{{\Omega}}^{{}}}|g_k(u_{\nu,k})-g(u_\nu)|\eta_1d\gamma_\mu\leq 2{ \int_{{\Omega}}^{{}}}|g(u_\nu)-g_k(u_\nu)|\eta_1d\gamma_\mu\to 0\;\;{\rm as}\;\,n\to\infty.

    Because g_k(u_{\nu', k})\leq g_k(u_{\nu, k}) it follows by Vitali's convergence theorem that g_k(u_{\nu', k})\to g(u'^*) in L^1(\Omega, \rho d\gamma_\mu) . Using the weak formulation of (4.6), we infer that u'^* verifies

    { \int_{{\Omega}}^{{}}}\left(u'^*{\mathcal L}_\mu^*\xi +g(u'^*)\xi\right)d\gamma_\mu = { \int_{{\Omega}}^{{}}}\xi d(\gamma_\mu\nu')\quad\ {\rm for\ all\ } \xi\in\mathbb X_\mu(\Omega).

    This yields u'^* = u_{\nu'} .

    The next result follows from Lemma 4.2.

    Lemma 4.3. Assume that \nu = \nu\lfloor_{\Omega^*}+k\delta_0\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) , then \nu^* = \nu^*\lfloor_{\Omega^*}+k^*\delta_0\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) with \nu^*\lfloor_{\Omega^*}\leq \nu\lfloor_{\Omega^*} and k^*\leq k . More precisely,

    (i) If \mu > \mu_0 and g satisfies (1.34), then k = k^* .

    (ii) If \mu = \mu_0 and g satisfies (1.35), then k = k^* .

    (ii) If \mu > \mu_0 (resp. \mu = \mu_0 ) and g does not satisfy (1.21) (resp. (1.35)), then k^* = 0 .

    The next result is useful in applications.

    Corollary 4.1. If \nu\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) , then \nu^* is the largest g -good measure smaller or equal to \nu .

    Proof. Let \lambda\in \overline{\mathfrak M}_+(\Omega; \Gamma_\mu) be a g -good measure, \lambda\leq\nu . Then \lambda^* = \lambda\leq\nu^* . Since \nu^* is a g -good measure the result follows.

    Proof of Theorem E. Assume that \nu\geq 0 . By Lemma 4.2 and Remark at the end of Section 3.5 the following assertions are equivalent:

    (ⅰ) \nu is g_p -good.

    (ⅱ) For any \sigma > 0 , \nu_\sigma = \chi_{_{B^c_\sigma}}\nu is g_p -good.

    If \nu_\sigma is good, then u_{\nu_\sigma} satisfies

    \begin{equation} \label{{E1}}-\Delta u_{\nu_\sigma}+u^p_{\nu_\sigma} = \nu_\sigma-{ \frac{{\mu}}{{|x|^2}} }u_{\nu_\sigma}\quad {\rm in}\ {\mathcal D}'(\Omega^*) \end{equation} (4.7)

    and since u_{\nu_\sigma}(x)\leq c|x|^{\tau_+} if |x|\leq \frac{\sigma}{2} (4.7) holds in {\mathcal D}'(\Omega) . This implies that u\in L^p(\Omega) and |x|^{-2}u_{\nu_\sigma}\in L^\alpha(B_{\frac{\sigma}{2}}) for any \alpha < \frac{N}{(2-\tau_+)_+} . Using [1] the measure \nu_\sigma is absolutely continuous with respect to the c_{2, p'} -Bessel capacity. If E\subset\Omega is a Borel set such that c_{2, p'}(E) = 0 , then c_{2, p'}(E\cap B^c_\sigma) = 0 , hence \nu (E\cap B^c_\sigma) = \nu_\sigma(E\cap B^c_\sigma) = 0 . By the monotone convergence theorem \nu(E) = 0 .

    Conversely, if \nu is nonnegative and absolutely continuous with respect to the c_{2, p'} -Bessel capacity, then so is \nu_\sigma = \chi_{_{B^c_\sigma}}\nu . For 0\leq\epsilon\leq\frac\sigma 2 we consider the problem

    \begin{equation} \left\{ \begin{array} {lll} \,-\Delta u+{ \frac{{\mu}}{{|x|^2}} }u+u^p = \nu_\sigma&\ \ {\rm in\,\ }\Omega^\epsilon: = \Omega\setminus B_\epsilon,\\[1.5mm] \phantom{--------}u = 0&\ \ {\rm on\,\ } \partial B_\epsilon,\\ \phantom{--------}u = 0&\ \ {\rm on\,\ } \partial \Omega. \end{array}\right. \end{equation} (4.8)

    Since \tfrac{\mu}{|x|^2} is bounded in \Omega^\epsilon and \nu_\sigma is absolutely continuous with respect to the c_{2, p'} capacity there exists a solution u_{\nu_\sigma, \epsilon} thanks to [1], unique by monotonicity. Now the mapping \epsilon\mapsto u_{\nu_\sigma, \epsilon} is decreasing. We use the method developed in Lemma 3.1, when \epsilon\to 0 , we know that u_{\nu_\sigma, \epsilon} increase to some u_\sigma which is dominated by \mathbb G[\nu_\sigma] and satisfies

    \begin{equation} \label{{F2}}\left\{ \begin{array} {lll} -\Delta u+{ \frac{{\mu}}{{|x|^2}} }u+u^p = \nu_\sigma&\ \ {\rm in\,\ }\Omega^*,\\[1.5mm] \phantom{--------}u = 0&\ \ {\rm on\ } \partial \Omega. \end{array}\right. \end{equation} (4.9)

    Because u_\sigma\leq \mathbb G[\nu_\sigma] and \nu_\sigma = 0 in B_\sigma , there holds u(x)\leq c'_{11}\Gamma_\mu(x) in B_{\frac\sigma 2} , and then u_\sigma is a solution in \Omega and u = u_{\nu_\sigma} . Letting \sigma\to 0 , we conclude as in Lemma 3.1 that u_{\nu_\sigma} converges to u_\nu which is the weak solution of

    \begin{equation} \label{{F3}}\left\{ \begin{array} {lll} -\Delta u+{ \frac{{\mu}}{{|x|^2}} }u+u^p = \nu&\ \ {\rm in\,\ }\Omega,\\[1.5mm] \phantom{--------}u = 0&\ \ {\rm on\ } \partial \Omega. \end{array}\right. \end{equation} (4.10)

    If \nu is a signed measure absolutely continuous with respect to the c_{2, p'} -capacity, so are \nu_+ and \nu_- . Hence there exists solutions u_{\nu_+} and u_{\nu_-} . For 0 < \epsilon < \frac\sigma 2 we construct u_{\nu_\sigma, \epsilon} with the property that -u_{-\nu_{-\, \sigma}, \epsilon}\leq u_{\nu_\sigma, \epsilon}\leq u_{\nu_{+\, \sigma}, \epsilon} , we let \epsilon\to 0 and deduce the existence of u_{\nu_\sigma} which is eventually the weak solution of

    \begin{equation} \label{{F4}}\left\{ \begin{array} {lll} -\Delta u+{ \frac{{\mu}}{{|x|^2}} }u+|u|^{p-1}u = \nu_\sigma&\ \ {\rm in\,\ }\Omega^*,\\[1.5mm] \phantom{----------}u = 0&\ \ {\rm on\ } \partial \Omega, \end{array}\right. \end{equation} (4.11)

    and satisfies -u_{-\nu_{-\, \sigma}}\leq u_{\nu_\sigma}\leq u_{\nu_{+\, \sigma}} . Letting \sigma\to 0 we obtain that u = \lim_{\sigma\to 0}u_{\nu_\sigma} satisfies

    \begin{equation} \label{{F5}}\left\{ \begin{array} {lll} -\Delta u+{ \frac{{\mu}}{{|x|^2}} }u+|u|^{p-1}u = \nu&\ \ {\rm in\,\ }\Omega^*,\\[1.5mm] \phantom{----------}u = 0&\ \ {\rm on\ } \partial \Omega. \end{array}\right. \end{equation} (4.12)

    Hence u = u_\nu and \nu is a good solution.

    Proof of Theorem F. Part 1. Without loss of generality we can assume that \Omega is a bounded smooth domain. Let K\subset\Omega be compact. If 0\in K and p < p^*_{\mu} there exists a solution u_{k\delta_0} , hence K is not removable. If 0\notin K and c_{2, p'}(K) > 0 , there exists a capacitary measure \nu_K\in W^{-2, p}(\Omega)\cap \mathfrak M_+(\Omega) with support in K . This measure is g_p -good by Theorem E, hence K is not removable.

    Part 2. Conversely we first assume that 0\notin K . Then there exists a subdomain D\subset \Omega such that 0\notin \bar D and K\subset D . Hence a solution u of (1.37) is also a solution of

    -\Delta u+\frac{\mu}{|x|^2}u+|u|^{p-1}u = 0\ \quad{\rm in\,\ }D\setminus K,

    and the coefficient \frac{\mu}{|x|^2} is uniformly bounded in \bar D . By [1,Theorem 3.1] it can be extended as a C^2 solution of the same equation in \Omega' . Hence, if c_{2, p'}(K) = 0 the set K is removable.

    If 0\in K we have to assume at least p\geq p^*_{\mu} in order that 0 is removable and p\geq p_0 in order there exists non-empty set with zero c_{2, p'} -capacity. Let \zeta\in C_0^{1, 1}(\Omega) with 0\leq\zeta\leq 1 , vanishing in a compact neighborhood D of K . Since 0\notin \Omega\setminus D , we first consider the case where u is nonnegative and satisfies in the usual sense

    -\Delta u+\frac{\mu}{|x|^2}u+ u^p = 0\quad{\rm in\,\;}\Omega\setminus D.

    Taking \zeta^{2p'} for test function, we get

    -2p'{ \int_{{\Omega}}^{{}}}u\zeta^{2p'-1}\Delta\zeta dx-2p'(2p'-1){ \int_{{\Omega}}^{{}}}u\zeta^{2p'-2}|\nabla\zeta|^2dx+\mu{ \int_{{\Omega}}^{{}}} \frac{u\zeta^{2p'}}{|x|^2}dx+{ \int_{{\Omega}}^{{}}}\zeta^{2p'}u^p dx = 0.

    There holds

    \left|{ \int_{{\Omega}}^{{}}}u\zeta^{2p'-1}\Delta\zeta dx\right|\leq \left({ \int_{{\Omega}}^{{}}}\zeta^{2p'}u^p dx\right)^{\frac 1p} \left({ \int_{{\Omega}}^{{}}}|\Delta\zeta|^{p'}\zeta^{p'}dx\right)^{\frac 1{p'}},
    0\leq { \int_{{\Omega}}^{{}}}u\zeta^{2p'-2}|\nabla\zeta|^2dx\leq \left({ \int_{{\Omega}}^{{}}}\zeta^{2p'}u^p dx\right)^{\frac 1p} \left({ \int_{{\Omega}}^{{}}}|\nabla\zeta|^{2p'}dx\right)^{\frac 1{p'}},

    and

    0\leq { \int_{{\Omega}}^{{}}} \frac{u\zeta^{2p'}}{|x|^2}dx\leq \left({ \int_{{\Omega}}^{{}}}\zeta^{2p'}u^p dx\right)^{\frac 1p} \left({ \int_{{\Omega}}^{{}}}{ \frac{{\zeta^{2p'}}}{{|x|^{2p'}}} }dx\right)^{\frac 1{p'}}.

    By standard elliptic equations regularity estimates and Gagliardo-Nirenberg inequality [21] (and since 0\leq\zeta\leq 1 ),

    \left({ \int_{{\Omega}}^{{}}}|\Delta\zeta|^{p'}\zeta^{p'}\right)^{\frac 1{p'}}\leq c_{17} \|\zeta\|_{W^{2,p'}}

    and

    \left({ \int_{{\Omega}}^{{}}}|\nabla\zeta|^{2p'}dx\right)^{\frac 1{p'}}\leq c_{18} \|\zeta\|_{W^{2,p'}}.

    Finally, if p > p_0: = \frac{N}{N-2} , then 2p' < N which implies that there exists c_{19} independent of \zeta (with value in [0, 1] ) such that

    \left({ \int_{{\Omega}}^{{}}}{ \frac{{\zeta^{2p'}}}{{|x|^{2p'}}} }dx\right)^{\frac 1{p'}}\leq \left({ \int_{{B_1}}^{{}}}{ \frac{{dx}}{{|x|^{2p'}}} }\right)^{\frac 1{p'}}: = c_{19}.

    Next we set

    X = \left({ \int_{{\Omega}}^{{}}}\zeta^{2p'}u^p dx\right)^{\frac 1p},

    and if \mu\geq 0 , p\geq p_0 , we have

    \begin{equation} \label{{E2}} X^p-\left(2p'(2p'-1)c_{18}-p'c_{18}\right)\|\zeta\|_{W^{2,p'}}X\leq 0; \end{equation} (4.13)

    and if \mu < 0 , p > p_0 , we have

    \begin{equation} \label{{E3}} X^p-\left(\left(2p'(2p'-1)c_{18}-p'c_{18}\right)\|\zeta\|_{W^{2,p'}}-c_{19}\mu\right)X\leq 0. \end{equation} (4.14)

    However, the condition p > p_0 is ensured when \mu < 0 since p\geq p_\mu^* > p_0 . We consider a sequence \{\eta_n\}\subset {\mathcal S}(\mathbb R^N) such that 0\leq\eta_n\leq 1 , \eta_n = 0 on a neighborhood of K and such that \|{\eta_n}\|_{W^{2, p'}}\to 0 when n\to\infty . Such a sequence exists by the result in [24] since c_{2, p'}(K) = 0 . Let \xi\in C^{\infty}_0(\Omega) such that 0\leq \xi\leq 1 and with value 1 in a neighborhood of K . We take \zeta: = \zeta_n = (1-\eta_n)\xi in the above estimates. Letting n\to\infty , then \zeta_n\to \xi in W^{2, p'} and finally

    \begin{equation} \label{{E4}}X^{p-1} = \left({ \int_{{\Omega}}^{{}}}\xi^{2p'}u^p dx\right)^{\frac {p-1}p}\leq \left(2p'(2p'-1)c_{18}-p'c_{18}\right)\|\xi\|_{W^{2,p'}}+c_{19}\mu_-, \end{equation} (4.15)

    under the condition that p > p_0 if \mu < 0 , in which case there also holds

    \begin{equation} \label{{E5}} { \int_{{\Omega}}^{{}}} \frac{u\zeta^{2p'}}{|x|^2}dx\leq c_{19}X. \end{equation} (4.16)

    However the condition p > p_0 is not necessary in order the left-hand side of (4.16) is bounded, since we have

    \begin{equation} \label{{E6}} \mu{ \int_{{\Omega}}^{{}}} \frac{u\zeta^{2p'}}{|x|^2}dx+X^p\leq \left(2p'(2p'-1)c_{18}-p'c_{18}\right)\|\zeta\|_{W^{2,p'}}X, \end{equation} (4.17)

    and X is bounded.

    Next we take \zeta: = \zeta_n = (1-\eta_n)\xi for test function in (1.37) and get

    -{ \int_{{\Omega}}^{{}}}\left( (1-\eta_n)\Delta\xi-\xi\Delta\eta_n-2\langle\nabla\eta_n,\nabla\xi\rangle \right) udx+ \mu{ \int_{{\Omega}}^{{}}} \frac{u\zeta_n}{|x|^2}dx+{ \int_{{\Omega}}^{{}}}\zeta_nu^p dx = 0.

    Since

    { \int_{{\Omega}}^{{}}}u\xi\Delta\eta_n dx\leq \left({ \int_{{\Omega}}^{{}}}u^p\xi dx\right)^{\frac1p}\|{\eta_n}\|_{W^{2,p'}}\to 0\quad{\rm as\;\,}n\to\infty,

    and

    \left|{ \int_{{\Omega}}^{{}}}u\langle\nabla\eta_n,\nabla\xi\rangle dx\right|\leq \left({ \int_{{\Omega}}^{{}}}u^p|\nabla\xi| dx\right)^{\frac1p} \|{\nabla\xi}\|_{L^\infty}\|{\eta_n}\|_{W^{1,p'}}\quad{\rm as\;\,}n\to\infty,

    then we conclude that u satisfies

    \begin{equation} \label{{E7}} -{ \int_{{\Omega}}^{{}}}u\Delta\xi dx+\mu{ \int_{{\Omega}}^{{}}}\frac{u\xi}{|x|^2}dx+{ \int_{{\Omega}}^{{}}}\xi u^p dx = 0, \end{equation} (4.18)

    which proves that u satisfies the equation in the sense of distributions. By standard regularity u is C^2 in \Omega^* , and by the maximum principle u(x)\leq c_{20}\Gamma_\mu(x) in B_{r_0}\subset\Omega . Integrating by part as in the proof of Lemma 3.2 we obtain that u satisfies

    \begin{equation} \label{{E8}} { \int_{{\Omega}}^{{}}}\left(u{\mathcal L}^*_\mu\xi +\xi u^p \right)d\gamma_\mu(x) = 0\quad{\rm for\ every\ } \xi\in\mathbb X_\mu(\Omega). \end{equation} (4.19)

    Finally, if u is a signed solution, then |u| is a subsolution. For \epsilon > 0 we set K_\epsilon = \{x\in \mathbb R^N: \mbox{dist}\, (x, K)\leq\epsilon\} . If \epsilon is small enough K_\epsilon\subset\Omega . Let v: = v_\epsilon be the solution of

    \begin{equation} \label{{E9}}\left\{ \begin{array} {lll} -\Delta v+{ \frac{{\mu}}{{|x|^2}} }v+v^p = 0&\quad{\rm in\ }\Omega\setminus K_\epsilon,\\[1.5mm] \phantom{-------\ \,}v = |u|\lfloor_{ \partial K_\epsilon}&\quad{\rm on\ } \partial K_\epsilon,\\[1.5mm] \phantom{-------\ \,}v = |u|\lfloor_{ \partial \Omega}&\quad{\rm on\ } \partial \Omega. \end{array}\right. \end{equation} (4.20)

    Then |u|\leq v_\epsilon . Furthermore, by Keller-Osserman estimate as in [22,Lemma 1.1], there holds

    \begin{equation} \label{{E10}} \begin{array} {lll} v_\epsilon(x)\leq c_{21} \mbox{dist}\, (x,K_\epsilon)^{-\frac{2}{p-1}}\quad{\rm for\,all\, \,}x\in\Omega\setminus K_\epsilon, \end{array} \end{equation} (4.21)

    where c_{21} > 0 depends on N , p and \mu . Using local regularity theory and the Arzela-Ascoli Theorem, there exists a sequence \{\epsilon_n\} converging to 0 and a function v\in C^2(\Omega\setminus K)\cap C(\bar\Omega\setminus K) such that \{v_{\epsilon_n}\} converges to v locally uniformly in \bar\Omega\setminus K and in the C^2_{loc}(\Omega\setminus K) -topology. This implies that v is a positive solution of (1.37) in \Omega\setminus K . Hence it is a solution in \Omega . This implies that u\in L^p(\Omega) and |u(x)|\leq v(x)\leq c_{20}\Gamma_\mu(x) in \Omega^* . We conclude as in the nonnegative case that u is a weak solution in \Omega .

    H. Chen is supported by NSF of China, No: 11726614, 11661045, by the Jiangxi Provincial Natural Science Foundation, No: 20161ACB20007, by Doctoral Research Foundation of Jiangxi Normal University, and by the Alexander von Humboldt Foundation.

    The authors declare no conflict of interest.



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