Review Topical Sections

The interaction between language and working memory: a systematic review of fMRI studies in the past two decades

  • Zoha Deldar and Carlos Gevers-Montoro contributed equally to this work
  • Language processing involves other cognitive domains, including Working Memory (WM). Much detail about the neural correlates of language and WM interaction remains unclear. This review summarizes the evidence for the interaction between WM and language obtained via functional Magnetic Resonance Imaging (fMRI) in the past two decades. The search was limited to PubMed, Google Scholar, Science direct and Neurosynth for working memory, language, fMRI, neuroimaging, cognition, attention, network, connectome keywords. The exclusion criteria consisted of studies including children, older adults, bilingual or multilingual population, clinical cases, music, sign language, speech, motor processing, review papers, meta-analyses, electroencephalography/event-related potential, and positron emission tomography. A total of 20 articles were included and discussed in four categories: language comprehension, language production, syntax, and networks. Studies on neural correlates of WM and language interaction are rare. Language tasks that involve WM activate common neural systems. Activated areas can be associated with cognitive concepts proposed by Baddeley and Hitch (1974), including the phonological loop of WM (mainly Broca and Wernicke's areas), other prefrontal cortex and right hemispheric regions linked to the visuospatial sketchpad. There is a clear, dynamic interaction between language and WM, reflected in the involvement of subcortical structures, particularly the basal ganglia (caudate), and of widespread right hemispheric regions. WM involvement is levered by cognitive demand in response to task complexity. High WM capacity readers draw upon buffer memory systems in midline cortical areas to decrease the WM demands for efficiency. Different dynamic networks are involved in WM and language interaction in response to the task in hand for an ultimate brain function efficiency, modulated by language modality and attention.

    Citation: Zoha Deldar, Carlos Gevers-Montoro, Ali Khatibi, Ladan Ghazi-Saidi. The interaction between language and working memory: a systematic review of fMRI studies in the past two decades[J]. AIMS Neuroscience, 2021, 8(1): 1-32. doi: 10.3934/Neuroscience.2021001

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    1. Introduction and statement of the main results

    Elliptic problems with singular nonlinearities appear in many nonlinear phenomena, for instance, in the study of chemical catalysts process, non-Newtonian fluids, and in the study of the temperature of electrical conductors whose resistance depends on the temperature (see e.g., [3,6,10,15] and the references therein). The seminal work [7] is the start point of a large literature concerning singular elliptic problems, see for instance, [1,3,5,6,8,9,10,13,15,17,18,21,22,23,24], and [30]. For additional references and a systematic study of singular elliptic problems see also [26].

    In [10], Diaz, Morel and Oswald considered problems of the form

    {Δu=uγ+λh(x) in Ω,u=0 on Ω,u>0 in Ω (1.1)

    where Ω is a bounded and regular enough domain, 0<γ<1, λ>0 and hL(Ω) is a nonnegative and nonidentically zero function. They proved (see [10], Theorem 1, Corollary 1, Lemma 2 and Theorem 3) that there exists λ0>0 such that. for λ>λ0, problem (1.1) has a unique maximal solution uH10(Ω) and has no solution when λ<λ0.

    Concerning nonlocal singular problems, Barrios, De Bonis, Medina, and Peral proved in [2] that if Ω is a bounded and regular enough domain in Rn, 0<s<1, n>2s, f is a nonnegative function in a suitable Lebesgue space, λ>0, M>0 and 1<p<n+2sn2s, then the problem

    {(Δ)su=λf(x)uγ+Mup in Ω,u=0 on RnΩ,u>0 in Ω, (1.2)

    has a solution, in a suitable weak sense whenever λ>0 and M>0, and that, if M=1 and f=1, then there exists Λ>0 such that (1.2) has at least two solutions when λ<Λ and has no solution when λ>Λ.

    A natural question is to ask if an analogous of the quoted result of [10] hold in the nonlocal case, i.e., when Δ is replaced by the fractional laplacian (Δ)s, s(0,1), and with the boundary condition u=0 on Ω replaced by u=0 on RnΩ. Our aim in this paper is to obtain such a result. Note that the approach of [10] need to be modified in order to be used in the fractional case. Indeed, a step in [10] was to observe that, if φ1 denotes a positive principal eigenfunction for Δ on Ω, with Dirichlet boundary condition, then

    Δφ21+γ1=21+γλ1φ21+γ12(1γ)(γ+1)2|φ1|2φ2γ1+γ1 in Ω, (1.3)

    where λ1 is the corresponding principal eigenvalue. From this fact, and using the properties of a principal eigenfunction, Diaz, Morel and Oswald proved that, for ε positive and small enough, εφ21+γ1 is a subsolution of problem (1.1). Since formula (1.3), is not avalaible for the principal eigenfunction of (Δ)s, the arguments of [10] need to be modified in order to deal with the fractional case.

    Let us state the functional setting for our problem. For s(0,1) and nN, let

    Hs(Rn):={uL2(Rn):Rn×Rn|u(x)u(y)|2|xy|n+2sdxdy<},

    and for uHs(Rn), let uHs(Rn):=(Rnu2+Rn×Rn|u(x)u(y)|2|xy|n+2sdxdy)12. Let Ω be a bounded domain in Rn with C1,1 boundary and let

    Xs0(Ω):={uHs(Rn):u=0 a.e. in RnΩ},

    and for uXs0(Ω), let uXs0(Ω):=(Rn×Rn|u(x)u(y)|2|xy|n+2sdxdy)12.

    With these norms, Hs(Rn) and Xs0(Ω) are Hilbert spaces (see e.g., [29], Lemma 7), Cc(Ω) is dense in Xs0(Ω) (see [16], Theorem 6). Also, Xs0(Ω) is a closed subspace of Hs(Rn), and from the fractional Poincaré inequality (as stated e.g., in [11], Theorem 6.5; see Remark 2.1 below), if n>2s then .Xs0(Ω) and .Hs(Rn) are equivalent norms on Xs0(Ω). For fL1loc(Ω) we say that f(Xs0(Ω)) if there exists a positive constant c such that |Ωfφ|cuXs0(Ω) for any φXs0(Ω). For f(Xs0(Ω)) we will write ((Δ)s)1f for the unique weak solution u (given by the Riesz theorem) of the problem

    {(Δ)su=f in Ω,u=0 in RnΩ. (1.4)

    Here and below, the notion of weak solution that we use is the given in the following definition:

    Definition 1.1. Let s(0,1), let f:ΩR be a Lebesgue measurable function such that fφL1(Ω) for any φXs0(Ω). We say that u:ΩR is a weak solution to the problem

    {(Δ)su=f in Ω,u=0 in RnΩ

    if uXs0(Ω), u=0 in RnΩ and, for any φ Xs0(Ω),

    Rn×Rn(u(x)u(y))(φ(x)φ(y))|xy|n+2sdxdy=Ωfφ.

    For uXs0(Ω) and fL1loc(Ω), we will write (Δ)suf in Ω (respectively (Δ)suf in Ω) to mean that, for any nonnegative φHs0(Ω), it hold that fφL1(Ω) and

    Rn×Rn(u(x)u(y))(φ(x)φ(y))|xy|n+2sdxdyΩfφ (resp. Ωfφ).

    For u,vXs0(Ω), we will write (Δ)su(Δ)sv in Ω (respectively (Δ)su(Δ)sv in Ω), to mean that (Δ)s(uv)0 in Ω (resp. (Δ)s(uv)0 in Ω).

    Let

    E:={uXs0(Ω):cdsΩucdsΩ a.e. in Ω, for some positive constants c and c}

    where, for xΩ, dΩ(x):=dist(x,Ω). With these notations, our main results read as follows:

    Theorem 1.2. Let Ω be a bounded domain in Rn with C1,1 boundary, let s(0,1), and assume n>2s. Let hL(Ω) be such that 0h0 in Ω (i.e., |{xΩ:h(x)>0}|>0) and let g:Ω×(0,)[0,) be a function satisfying the following conditions g1)-g5)

    g1) g:Ω×(0,)[0,) is a Carathéodory function, g(.,s)L(Ω) for any s>0 and limσ(g(.,σ))=0.

    g2) σg(x,σ) is non increasing on (0,) a.e. xΩ.

    g3) g(.,σdsΩ)(Xs0(Ω)) and dsΩ((Δ)s)1(dsΩg(.,σdsΩ))L(Ω) for all σ>0.

    g4) It hold that:

    limσ(σdsΩ)1((Δ)s)1(dsΩg(.,σdsΩ))=0, and

    limσdsΩ((Δ)s)1(g(.,σ))L(Ω)=0.

    g5) dsΩg(.,σdsΩ)L2(Ω) for any σ>0.

    Consider the problem

    {(Δ)su=g(.,u)+λhinΩ,u=0inRnΩ,u>0inΩ (1.5)

    Then there exists λ0 such that:

    i) If λ>λ then (1.5) has a weak solution u(λ)E, which is maximal in the following sense: If vE satisfies (Δ)svg(.,v)+λh in Ω, then u(λ)v a.e. in Ω .

    ii) If λ<λ, no weak solution exists in E.

    iii) If, in addition, there exists bL(Ω) such that 0b0 in Ω and g(.,s)bsβ a.e. in Ω for any s(0,), then λ>0.

    Theorem 1.2 allows g(x,s) to be singular at s=0. In fact, in Lemma 3.2, using some estimates from [4] for the Green function of (Δ)s in Ω (with homogeneous Dirichlet boundary condition on RnΩ), we show that if g(x,s)=asβ with a a nonnegative function in L(Ω) and β[0,s), then g satisfies the assumptions of Theorem 1.2. Thus, as a consequence of Theorem 1.2, we obtain the following:

    Theorem 1.3. Let Ω, s, and h be as in the statement of Theorem 1.2, and let g:Ω×(0,)[0,). Then the assertions i)iii) of Theorem 1.2 remain true if we assume, instead of the conditions g1)-g5), that the following conditions g6) and g7) hold:

    g6) g:Ω×(0,)[0,) is a Carathéodory function and sg(x,s) is nonincreasing for a.e. xΩ.

    g7) There exist positive constants a and β[0,s) such that g(.,s)asβ a.e. in Ω for any s(0,).

    Let us sketch our approach: In Section 2 we consider, for ε>0, the following approximated problem

    {(Δ)su=g(.,u+ε)+λh in Ω,u=0 in RnΩ,u>0 in Ω. (1.6)

    Let us mention that, in order to deal with problems involving the (p;q)-Laplacian and a convection term, this type of approximation was considered in [14] (see problem Pε therein).

    Lemma 2.5 gives a positive number λ0, independent of ε and such that, for λ=λ0, problem (1.6) has a weak solution wε. From this result, and from some properties of the function wε, in Lemma 2.11 we show that, for λλ0 and for any ε>0, there exists a weak solution uε of problem (1.6), with the following properties:

    a) cdsΩuεcdsΩ for some positive constants c and c independent of ε,

    b) uε¯u, where ¯u is the solution of the problem (Δ)s¯u=λh in Ω, ¯u=0 in RnΩ,

    c) uεψ for any ψXs0(Ω) such that (Δ)sψ=g(.,ψ+ε)+λh in Ω.

    In section 3 we prove Theorems 1.2 and 1.3. To prove Theorem 1.2, we consider a decreasing sequence {εj}jN such that limjεj=0, and we show that, for λλ0, the sequence of functions {uεj}jN given by Lemma 2.11 converges, in Xs0(Ω), to a weak solution u of problem (1.5) which has the properties required by the theorem. An adaptation of some of the arguments of [10] gives that, if problem (1.5) has a weak solution in E, then it has a maximal (in the sense stated in the theorem) weak solution in E and that if for some λ=λ (1.5) has a weak solution in E, then it has a weak solution in E for any λλ. Finally, the assertion iii) of Theorem 1.2 is proved with the same argument given in [10].


    2. Preliminaries and auxiliary results

    We fix, from now on, hL(Ω) such that 0h0 in Ω. We assume also from now on (except in Lemma 3.2) that g:Ω×(0,)[0,) satisfies the assumptions g1)-g5 of Theorem 1.2.

    In the next remark we collect some general facts concerning the operator (Δ)s.

    Remark 2.1. ⅰ) (see e.g., [27], Proposition 4.1 and Corollary 4.2) The following comparison principle holds: If u,vXs0(Ω) and (Δ)su(Δ)sv in Ω then uv in Ω. In particular, the following maximum principle holds: If vXs0(Ω), (Δ)sv0 in Ω and v0 in RnΩ, then v0 in Ω.

    ⅱ) (see e.g., [27], Lemma 7.3) If f:ΩR is a nonnegative and not identically zero measurable function in f(Xs0(Ω)), then the weak solution u of problem (1.4) satisfies, for some positive constant c,

    ucdsΩ in Ω. (2.1)

    ⅲ) (see e.g., [28], Proposition 1.1) If fL(Ω) then the weak solution u of problem (1.4) belongs to Cs(Rn). In particular, there exists a positive constant c such that

    |u|cdsΩ in Ω. (2.2)

    ⅳ) (Poincaré inequality, see [11], Theorem 6.5) Let s(0,1) and let 2s:=2nn2s. Then there exists a positive constant C=C(n,s) such that, for any measurable and compactly supported function f:RnR,

    fL2s(Rn)CRn×Rn(f(x)f(y))2|xy|n+spdxdy.

    ⅴ) If vL(2s)(Ω) then v(Xs0(Ω)), and v(Xs0(Ω))Cv(2s), with C as in i). Indeed, for φXs0(Ω), from the Hölder inequality and iii), Ω|vφ|v(2s)φ2sCv(2s)φXs0(Ω).

    ⅵ) (Hardy inequality, see [25], Theorem 2.1) There exists a positive constant c such that, for any φXs0(Ω),

    dsΩφ2cφXs0(Ω). (2.3)

    Remark 2.2. Let zHs(Rn) be the solution of the problem

    {(Δ)sz=τ1h in Ωz=0 in RnΩ, (2.4)

    with τ1 chosen such that zL(Rn)=1. Since hL(Rn), Remark 2.1 ⅲ) gives zC(Rn) (see also [12], Theorem 1.2). Thus, since supp(z)¯Ω and zC(¯Ω), we have zL(Rn). Moreover, by Remark 2.1 ⅱ), there exists a positive constant c such that

    zcdsΩ in Ω. (2.5)

    Remark 2.3. There exist positive numbers M0 and M1 such that

    12cM1dsΩ((Δ)s)1(g(.,12cM1dsΩ)),M1<M0,12cM1dsΩ((Δ)s)1(g(.,M0))L(Ω). (2.6)

    Indeed, by g4), limσ(σdsΩ)1((Δ)s)1(dsΩg(.,σdsΩ))=0 and so the first one of the above inequalities hold for M1 large enough. Fix such a M1. Since, from g4), limσdsΩ((Δ)s)1(g(.,σ))L(Ω)=0, the remaining inequalities of (2.6) hold for M0 large enough.

    Lemma 2.4. Let ε>0 and let z, τ1 and c be as in Remark 2.2. Let M0 and M1 be as in Remark 2.3. Let z:=M1z and let w0,ε:RnR be the constant function w0,ε=M0. Then there exist sequences {wj,ε}jN and {ζj,ε}jN in Xs0(Ω)L(Ω) such that, for all jN:

    i) wj1,εwj,ε0 in Rn,

    ii) wj,ε12cM1dsΩ in Ω,

    iii) wj,ε is a weak solution of the problem

    {(Δ)swj,ε=g(.,wj1,ε+ε)+τ1M1hinΩ,wj,ε=0inRnΩ. (2.7)

    iv) wj,ε=zζj,ε in Rn and ζj,ε is a weak solution of the problem

    {(Δ)sζj,ε=g(.,wj1,ε+ε)inΩ,ζj,ε=0inRnΩ. (2.8)

    v) wj,εXs0(Ω)c for some positive constant c independent of j and ε.

    Proof. The sequences {wj,ε}jN and {ζj,ε}jN with the properties i)v) will be constructed inductively. Let ζ1,εX10(Ω) be the solution of the problem

    {(Δ)sζ1,ε=g(.,w0,ε+ε) in Ωζ1,ε=0 in RnΩ

    (thus iv) holds for j=1). From g1) and g2) we have 0g(.,w0,ε+ε)g(.,ε)L(Ω). Thus g(.,w0,ε+ε)L(Ω). Then, by Remark 2.1 iii), ζ1,εC(Rn). Therefore, since supp(ζ1,ε)¯Ω, we have ζ1,εL(Ω). By g1), g(.,M0)L(Ω) and so g(.,M0)(X10(Ω)). Let u0:=((Δ)s)1(g(.,M0)). Then, by g1) and g3), dsΩu0L(Ω). We have, in weak sense,

    {(Δ)s(ζ1,εu0)=g(.,w0,ε+ε)g(.,M0)0 in Ωζ1,εu0=0 in RnΩ.

    Then, by the maximum principle of Remark 2.1 i),

    0ζ1,εu0dsΩu0L(Ω)dsΩ in Ω. (2.9)

    Let z:=M1z. By Remark 2.2, zHs(Rn)C(¯Ω) and

    zcM1dsΩ in Ω. (2.10)

    Also, zM1 in Ω, and z is a weak solution of the problem

    {(Δ)sz=τ1M1h in Ω,z=0 in RnΩ.

    Let w1,ε:=zζ1,ε. Then w1,εHs(Rn) and w1,ε=0 in RnΩ. Thus w1,εXs0(Ω). Also w1,εL(Ω). Since ζ1,ε0 in Ω, we have

    w0,εw1,ε=M0z+ζ1,εM0zM0M1>0 in Ω.

    Then w1,εw0,ε in Ω. Thus i) holds for j=1. Now, in weak sense,

    {(Δ)sw1,ε=(Δ)s(zζ1,ε)=τ1M1h(Δ)s(ζ1,ε)=g(.,w0,ε+ε)+τ1M1h in Ω,w1,ε=0 in RnΩ,

    and so iii) holds for j=1. Also, from (2.9), (2.10), and taking into account that (2.6),

    w1,ε=zζ1,εcM1dsΩdsΩ((Δ)s)1(g(.,M0))L(Ω)dsΩ12cM1dsΩ in Ω.

    and then w1,ε12cM1dsΩ in Ω. Thus ii) holds for j=1.

    Suppose constructed, for k1, functions w1,ε,..., wk,ε and ζ1,ε,...,ζk,ε, belonging to Xs0(Ω)L(Ω), and with the properties i)-iv). Let ζk+1,εXs0(Ω) be the solution of the problem

    {(Δ)sζk+1,ε=g(.,wk,ε+ε) in Ω,ζk+1,ε=0 on RnΩ. (2.11)

    (and so iv) holds for j=k+1) and let wk+1,ε:=zζk+1,ε. Then wk+1,εHs(Rn) and wk+1,ε=0 in RnΩ. Thus wk+1,εXs0(Ω). Also,

    wk,εwk+1,ε=ζk+1,εζk,ε in Rn (2.12)

    and

    {(Δ)s(ζk+1,εζk,ε)=g(.,wk,ε+ε)g(.,wk1,ε+ε)0 in Ω,ζk+1,εζk,ε=0 in RnΩ,

    the last inequality because, by g1), sg(.,s) is nonincreasing and (by our inductive hypothesis) wk,εwk1,ε in Ω. Then, by the maximum principle, ζk+1,εζk,ε0 in Rn. Therefore, by (2.12), wk,εwk+1,ε in Rn,and then i) holds for j=k+1. Also,

    {(Δ)swk+1,ε=(Δ)sz(Δ)sζk+1,ε=g(.,wk,ε+ε)+τ1M1h in Ω,wk+1,ε=0 in RnΩ.

    Then iii) holds for j=k+1. By g4), g(.,12cM1dsΩ)(Xs0(Ω)). Let u1:=((Δ)s)1(g(.,12cM1dsΩ))Xs0(Ω). By the inductive hypothesis we have wk,ε12cM1dsΩ in Ω. Now,

    {(Δ)s(ζk+1,εu1)=g(.,wk,ε+ε)g(.,12cM1dsΩ)0 in Ω,ζk+1,εu1=0 on RnΩ,

    then the comparison principle gives ζk+1,εu1. Thus, in Ω,

    wk+1,ε=zζk+1,εcM1dsΩu1=cM1dsΩ((Δ)s)1(g(.,12cM1dsΩ))cM1dsΩdsΩ((Δ)s)1(g(.,12cM1dsΩ))dsΩ12cM1dsΩ,

    the last inequality by (2.6). Thus ii) holds for j=k+1. This complete the inductive construction of the sequences {wj,ε}jN and {ζj,ε}jN with the properties i)iv).

    To see v), we take ζj,ε as a test function in (2.8). Using ii), the Hölder inequality, the Poincaré inequality of Remark 2.1 iv), we get, for any jN,

    ζj,ε2Xs0(Ω)=Ωg(.,wj1,ε+ε)ζj,εΩg(.,12cM1dsΩ)ζj,ε=ΩdsΩg(.,12cM1dsΩ)dsΩζj,εdsΩg(.,12cM1dsΩ)2dsΩζj,ε2cζj,εXs0(Ω).

    where c is a positive constant c independent of j and ε, and where, in the last inequality, we have used g5). Then ζj,εXs0(Ω) has an upper bound independent of j and ε. Since wj,ε=zζj,ε, the same assertion holds for wj,ε.

    Lemma 2.5. Let ε>0 and let τ1 and c be as in Remark 2.2. Let M0 and M1 be as in Remark 2.3 and let {wj,ε}jN and {ζj,ε}jN be as in Lemma 2.4. Let wε:=limjwj,ε and let ζε:=limjζj,ε. Then

    i) wε and ζε belong to Hs(Rn)C(¯Ω),

    ii) 12cM1dsΩwεM0 in Ω, and there exists a positive constant c independent of ε such that wεcdsΩ in Ω.

    iii) wε satisfies, in weak sense,

    {Δwε=g(.,wε+ε)+τ1M1hinΩ,wε=0inRnΩ. (2.13)

    iv) ζε satisfies, in weak sense,

    {(Δ)sζε=g(.,wε+ε)inΩ,ζε=0inRnΩ. (2.14)

    Proof. Let z be as in Remark 2.2, and let z:=M1z. Let M0 and M1 be as in Remark 2.3. By Lemma 2.4, {wj,ε}jN is a nonincreasing sequence of nonnegative functions in Rn, and so there exists wε=limjwj,ε. Since ζj,ε=zwj1,ε, there exists also ζε=limjζj,ε. Again by Lemma 2.4 we have, for any jN, 0wj,ε=zζj,εzL(Ω). Thus, by the Lebesgue dominated convergence theorem,

    {wj,ε}jN converges to wε in Lp(Ω) for any p[1,), (2.15)

    and so {g(.,wj,ε+ε)}jN converges to g(.,wε+ε) in Lp(Ω) for any p[1,). We claim that

    ζεXs0(Ω) and {ζj,ε}jN converges in Xs0(Ω) to ζε. (2.16)

    Indeed, for j, kN, from (2.8),

    {(Δ)s(ζj,εζk,ε)=g(.,wj1,ε+ε)g(.,wk1,ε+ε) in Ω,ζj,εζk,ε=0 in RnΩ. (2.17)

    We take ζj,εζk,ε as a test function in (2.17) to obtain

    ζj,εζk,ε2Xs0(Ω)=Ω(ζj,εζk,ε)(g(.,wj1,ε+ε)g(.,wk1,ε+ε))ζj,εζk,ε2sg(.,wj1,ε+ε)g(.,wk1,ε+ε)(2s)

    where 2s:=2nn2s. Then

    ζj,εζk,εXs0(Ω)cg(.,wj1,ε+ε)g(.,wk1,ε+ε)(2s).

    where c is a constant independent of j and k. Since {g(.,wj1,ε+ε)}jN converges to g(.,wε+ε) in L(2s)(Ω), we get

    limj,kζj,εζk,εXs0(Ω)=0,

    and thus {ζj,ε}jN converges in Xs0(Ω). Since {ζj,ε}jN converges to ζε in pointwise sense, (2.16) follows. Also, wj,ε=zζj,ε, and then {wj,ε}jN converges to wε,ρ in Xs0(Ω). Thus

    wεXs0(Ω) and {wj,ε}jN converges in Xs0(Ω) to wε. (2.18)

    To prove (2.14) observe that, from (2.8), we have, for any φXs0(Ω) and jN,

    Rn×Rn(ζε,j(x)ζε,j(y))(φ(x)φ(y))|xy|n+2sdxdy=Ωg(.,wε,j1+ε)φ. (2.19)

    Taking limj in (2.19) and using (2.16) and (2.15), we obtain (2.14). From (2.14) and since, by g1) and g2), g(.,wε+ε)L(Ω), Remark 2.1 iii) gives that, in addition, ζεC(¯Ω) (and so, since wε=zζε, then also wεC(¯Ω)).

    Let us see that (2.13) holds. Let φXs0(Ω). From (2.7), we have, for any jN,

    Rn×Rn(wj,ε(x)wj,ε(y))(φ(x)φ(y))|xy|n+2sdxdy=Ω¯Bρ(y)(g(.,wj1,ε+ε)+τ1M1h)φ. (2.20)

    Since φXs0(Ω) and {wj,ε}jN converges to wε in Xs0(Ω) we have

    limjRn×Rn(wj,ε(x)wj,ε(y))(φ(x)φ(y))|xy|n+2sdxdy=Rn×Rn(wε(x)wε(y))(φ(x)φ(y))|xy|n+2sdxdy. (2.21)

    Also, wε(x)=limjwj,ε(x) for any xΩ, and

    |g(.,wj1,ε+ε)φ|g(.,ε)|φ|L1(Ω),

    and clearly |τ1M1hφ|L1(Ω). Then, by the Lebesgue dominated convergence theorem,

    limjΩ(g(.,wj1,ε+ε)+τ1M1h)φ=Ω(g(.,wε+ε)+τ1M1h)φ. (2.22)

    Now (2.13) follows from (2.20), (2.21) and (2.22). Finally, by Lemma 2.4 we have, for all jN, 12cM1dsΩwj,ε in Ω and so the same inequality hold with wj,ε replaced by wε. Also, since wj,εz0 in Ω we have wj,εcdsΩ with c independent of j and ε.

    Remark 2.6. Let G:Ω×ΩR{} be the Green function for (Δ)s in Ω, with homogeneous Dirichlet boundary condition on RnΩ. Then, for fC(¯Ω) the solution u of problem (1.4) is given by u(x)=ΩG(x,y)f(y)dy for xΩ and by u(x)=0 for xRnΩ. Let us recall the following estimates from [4]:

    ⅰ) (see [4], Theorems 1.1 and 1.2) There exist positive constants c and c, depending only on Ω and s, such that for x;yΩ,

    G(x,y)cdΩ(x)s|xy|ns, (2.23)
    G(x,y)cdΩ(x)sdΩ(y)s1|xy|n2s, (2.24)
    G(x,y)cdΩ(x)sdΩ(y)s|xy|n (2.25)
    G(x,y)c1|xy|n2s if |xy|max{dΩ(x)2,dΩ(y)2} (2.26)
    G(x,y)cdΩ(x)sdΩ(y)s|xy|n if |xy|>max{dΩ(x)2,dΩ(y)2} (2.27)

    ⅱ) From ⅰ) it follows that there exists a positive constant c, depending only on Ω and s, such that for x;yΩ,

    G(x;y)cdΩ(x)sdΩ(y)s. (2.28)

    Indeed:

    If |xy|>max{dΩ(x)2,dΩ(y)2} then, from (2.27), G(x;y)cdΩ(x)sdΩ(y)s|xy|n and so G(x;y)cdΩ(x)sdΩ(y)s(diam(Ω))n.

    If |xy|max{dΩ(x)2,dΩ(y)2} then either |xy|dΩ(x)2 or |xy|dΩ(y)2. If |xy|dΩ(x)2 consider zΩ such that dΩ(y)=|zy|. then dΩ(y)=|zy||xz||xy|dΩ(x)|xy|12dΩ(x). Then dΩ(y)12dΩ(x)|xy|. Thus, since also |xy|dΩ(x)2, we have |xy|12(dΩ(x)dΩ(y))12, and so, from (2.26), G(x,y)c1|xy|n2sc1(12(dΩ(x)dΩ(y))12)n2s=2n2scdsΩ(x)dsΩ(y)(dΩ(x)dΩ(y))n22n2sc(diam(Ω))ndsΩ(x)dsΩ(y). If |xy|dΩ(y)2, by interchanging the roles of x and y in the above argument, the same conclusion is reached.

    ⅲ) If 0<β<s, then

    G(x,y)cdΩ(x)sdΩ(y)β|xy|ns+β. (2.29)

    Indeed, If dΩ(y)|xy| then, from (2.23),

    G(x,y)cdΩ(x)s|xy|ns=cdΩ(x)sdΩ(y)β|xy|nsdΩ(y)βcdΩ(x)sdΩ(y)β|xy|ns+β,

    and if dΩ(y)|xy| then, from (2.27),

    G(x,y)cdΩ(x)sdΩ(y)s|xy|n=cdΩ(x)sdΩ(y)βdΩ(y)sβ|xy|ns+β|xy|sβcdΩ(x)sdΩ(y)β|xy|ns+β,

    ⅳ) If fC(¯Ω) then the unique solution uXs0(Ω) of problem (1.4) is given by u(x):=ΩG(x,y)f(y)dy for xΩ, and u(x):=0 for xRnΩ.

    Lemma 2.7. Let aL(Ω) and let β[0,s). Then adβΩ(Xs0(Ω)) and the weak solution uXs0(Ω) of the problem

    {(Δ)su=adβΩinΩ,u=0inRnΩ (2.30)

    satisfies dsΩuL(Ω).

    Proof. Let φXs0(Ω). By the Hölder and Hardy inequalities we have Ω|adβΩφ|=Ω|adsβΩdsΩφ|adsβΩ2dsΩφ2cφXs0(Ω) with c a positive constant independent of φ. Thus adβΩ(Xs0(Ω)). Let uXs0(Ω) be the unique weak solution (given by the Riesz Theorem) of problem (2.30) and consider a decreasing sequence {εj}jN in (0,1) such that limjεj=0. For jN, let uεjXs0(Ω) be the weak solution of the problem

    {(Δ)suεj=a(dΩ+εj)β in Ω,uεj=0 in RnΩ. (2.31)

    Thus uεj=ΩG(.,y)a(y)(dΩ(y)+εj)βdy in Ω, where G is the Green function for (Δ)s in Ω, with homogeneous Dirichlet boundary condition on RnΩ. Since β<s we have Ω1|xy|ns+βdy<. Thus, recalling (2.29), there exists a positive constant c such that, for any jN and (x,y)Ω×Ω,

    0G(x,y)a(y)(dΩ(y)+εj)βcdsΩ(x)dβΩ(y)|xy|ns+β(dΩ(y)+εj)βcdsΩ(x)1|xy|ns+βL1(Ω,dy).

    Since also limjG(x,y)a(y)(dΩ(y)+εj)β=G(x,y)a(y)dβΩ(y) for a.e. yΩ, by the Lebesgue dominated convergence theorem, {uεj(x)}jN converges to ΩG(x,y)a(y)dβΩ(y)dy for any xΩ. Let u(x):=limjuεj(x). Thus u(x)=ΩG(x,y)a(y)dβΩ(y)dy. Again from (2.29), ucdsΩ a.e. in Ω, with c constant c independent of x. Now we take uεj as a test function in (2.31) to obtain that

    Ω×Ω(uεj(x)uεj(y))2|xy|n+2s=Rn×Rn(uεj(x)uεj(y))2|xy|n+2s=Ωuεj(y)(dΩ(y)+εj)βdycΩdsΩ(y)(dΩ(y)+ε)jβdycΩdsβΩ(y)dy=c,

    with c and c constants independent of j. For jN, let Uεj and U be the functions, defined on Rn×Rn, by

    Uεj(x,y):=uεj(x)uεj(y), U(x,y):=u(x)u(y).

    Then {Uεj}jN is bounded in H=L2(Rn×Rn,1|xy|n+2sdxdy). Thus, after pass to a subsequence if necessary, we can assume that {Uεj}jN is weakly convergent in H to some VH. Since {Uεj}jN converges pointwise to U on Rn×Rn, we conclude that UH and that {Uεj}jN converges weakly to U in H. Thus uXs0(Ω) and, for any φXs0(Ω),

    Rn×Rn(u(x)u(y))(φ(x)φ(y))|xy|n+2sdxdy=limjRn×Rn(uεj(x)uεj(y))(φ(x)φ(y))|xy|n+2sdxdy=limjΩa(dΩ+εj)βφ=ΩadβΩφ,

    Then u is the weak solution of (2.30). Finally, since for all j, uεjcdsΩ a.e. in Ω, we have ucdsΩ a.e. in Ω.

    Lemma 2.8. Let λ>0 and let ε0. Suppose that {uj}jNXs0(Ω) is a nonincreasing sequence with the following properties i) and ii):

    i) There exist positive constants c and c such that cdsΩujcdsΩ a.e. in Ω for any jN.

    ii) for any jN, uj is a weak solution of the problem

    {(Δ)suj=g(.,uj+ε)+λhinΩ,uj=0inRnΩ,uj>.0inΩ (2.32)

    Then {uj}jN converges in Xs0(Ω) to a weak solution u of the problem

    {(Δ)su=g(.,u+ε)+λhinΩ,uj=0inRnΩ,u>0inΩ, (2.33)

    which satisfies cdsΩucdsΩ a.e. in Ω. Moreover, the same conclusions holds if, instead of ii), we assume the following ii):

    ii) for any j2, uj is a weak solution of the problem

    {(Δ)suj=g(.,uj1+ε)+λhinΩ,uj=0inRnΩ,uj>0inΩ.

    Proof. Assume i) and ii). For xRn, let u(x):=limjuj(x). For j,kN we have, in weak sense,

    {(Δ)s(ujuk)=g(.,uk+ε)g(uj+ε) in Ω,ujuk=0 in RnΩ. (2.34)

    We take ujuk as a test function in (2.34) to get

    ujuk2Xs0(Ω)=Ω(g(.,uk+ε)g(.,uj+ε))(ujuk)=ΩdsΩ(g(.,uk+ε)g(.,uj+ε))dsΩ(ujuk)dsΩ(¯uj¯uk)2dsΩ(g(.,¯uk+ε)g(.,¯uj+ε))2. (2.35)

    By the Hardy inequality, dsΩ(ujuk)2cujukXs0(Ω) where c is a constant independent of j and k. Thus, from (2.35),

    ujukXs0(Ω)cdsΩ(g(.,uk+ε)g(.,uj+ε))2. (2.36)

    Now, limj,k|dsΩ(g(.,uk+ε)g(.,uj+ε))|2=0 a.e. in Ω. Also, since ulcdsΩ a.e. in Ω for any lN, and taking into account g5) and g2),

    |dsΩ(g(.,uk+ε)g(.,uj+ε))|2c(dsΩg(.,cdsΩ))2L1(Ω),

    where c is a constant independent of j and k. Then, by the Lebesgue dominated convergence theorem limj,kdsΩ(g(.,uk+ε)g(.,uj+ε))2=0. Therefore, from (2.36), limj,kujukXs0(Ω)=0 and so {uj}jN converges in Xs0(Ω) to some uXs0(Ω). Then, by the Poincaré inequality of Remark 2.1 iv), {uj}jN converges to u in L2s(Ω), and thus there exists a subsequence {ujk}kN that converges to u a.e. in Ω. Since {ujk}kN converges pointwise to uε, we conclude that u=u. Then {uj}jN converges to uε in Xs0(Ω). Now, for φXs0(Ω) and jN,

    Rn×Rn(uj(x)uj(y))(φ(x)φ(y))|xy|n+2sdxdy=Ω(g(.,uj+ε)+λh)φ. (2.37)

    Since {uj}jN converges to u in Xs0(Ω), we have

    limjRn×Rn(uj(x)uj(y))(φ(x)φ(y))|xy|n+2sdxdy=Rn×Rn(u(x)u(y))(φ(x)φ(y))|xy|n+2sdxdy. (2.38)

    On the other hand, |(g(.,uj+ε)+λh)φ|(g(.,cdΩ)+λh)|φ|L1(Ω) (with c as in i)). Also, {(g(uj+ε)+λh)φ}jN converges to (g(u+ε)+λh)φ a.e. in Ω. Then, by the Lebesgue dominated convergence theorem,

    limjΩ(g(.,uj+ε)+λh)φ=Ω(g(.,u+ε)+λh)φ. (2.39)

    From (2.37), (2.38) and (2.39) we get, for any φXs0(Ω),

    Rn×Rn(u(x)u(y))(φ(x)φ(y))|xy|n+2sdxdy=Ω(g(.,u+ε)+λh)φ.

    and so u is a weak solution of problem (2.33) which clearly satisfies cdsΩucdsΩ a.e. in Ω. If instead of ii) we assume ii), the proof is the same. Only replace, for j2, k2 and in each appearance, g(.,uj) and g(.,uk) by g(.,uj1) and g(.,uk1) respectively.

    Lemma 2.9. Let λ>0, and let ¯u be the weak solution of

    {(Δ)s¯u=λhinΩ,¯u=0inRnΩ. (2.40)

    Assume that, for each ε>0, we have a function ˜vεXs0(Ω) satisfying, in weak sense,

    {(Δ)s˜vεg(.,˜vε+ε)+λhinΩ,˜vε=0inRnΩ. (2.41)

    and such that ˜vεcdsΩ a.e. in Ω, where c is a positive constant independent of ε. Then for any ε>0 there exists a sequence {uj}jNXs0(Ω) such that:

    i) u1=¯u and uj uj1 for any j2.

    ii) ˜vε uj¯u for all jN.

    iii) For any j2, uj satisfies, in weak sense,

    {(Δ)suj=g(.,uj1+ε)+λhinΩ,uj=0inRnΩ.

    iv) There exist positive constants c and cindependent of ε and j such that, for all j, cdsΩujcdsΩ a.e. in Ω.

    Proof. By Remark 2.1 iii), there exists a positive constant c such that ¯ucdsΩ in Ω. We construct inductively a sequence {uj}jN satisfying the assertions i)iii) of the lemma: Let u1:=¯u. Thus, in weak sense, (Δ)su1=λhg(.,˜vε+ε)+λh in Ω. Thus (Δ)s(u1˜vε)0 in Ω. Then, by the maximum principle in Remark 2.1 i), u1˜vε in Ω, and so u1cdsΩ in Ω. Then, for some positive constant c, |g(.,u1+ε)+λh|c(1+g(.,cdsΩ)) in Ω and, by g1), g(.,cdsΩ)L(Ω). Thus there exists a weak solution u2Xs0(Ω) to the problem

    {(Δ)su2=g(.,u1+ε)+λh in Ω,u2=0 in RnΩ.

    Since, in weak sense, (Δ)su2λh=(Δ)su1 in Ω, the maximum principle in Remark 2.1 i) gives u2u1 in Ω. Since u1˜vε in Ω we have, in weak sense, (Δ)su2=g(.,u1+ε)+λhg(.,˜vε+ε)+λh in Ω. Also, (Δ)s˜vεg(.,˜vε+ε)+λh in Ω and so, by the maximum principle, u2˜vε in Ω. Then i)iii) hold for j=1.

    Supposed constructed u1,...,uk such that i)iii) hold for 1jk. Then, for some positive constant c, |g(.,uk+ε)+λh|c(1+g(.,cdsΩ)) in Ω and so, as before, there exists a weak solution uk+1Xs0(Ω) to the problem

    {(Δ)suk+1=g(.,uk+ε)+λh in Ω,uk+1=0 in RnΩ.

    By our inductive hypothesis, uk˜vε in Ω. Then, in weak sense, (Δ)suk+1=g(.,uk+ε)+λhg(.,˜vε+ε)+λh(Δ)s˜vε in Ω and thus, by the maximum principle, uk+1˜vε in Ω. If k=2 we have ukuk1 in Ω. If k>2, by the inductive hypothesis we have, in weak sense, (Δ)suk=g(.,uk1+ε)+λhg(.,uk2+ε)+λh in Ω. Also, (Δ)suk=g(.,uk1+ε)+λh in Ω. Thus, by the maximum principle, uk+1uk in Ω. Again by the inductive hypothesis uk¯u in Ω and then, since uk+1uk in Ω, we get uk+1¯u in Ω.

    Since for all j, vεuj¯u in Ω, iv) follows from the facts that ¯ucdsΩ in Ω, and that ˜vεcdsΩ in Ω, with c and c positive constants independent of ε and j.

    Lemma 2.10. Let λ>0. Assume that we have, for each ε>0, a function ˜vεXs0(Ω) satisfying, in weak sense, (2.41), and such that ˜vεcdsΩ a.e. in Ω, with c a positive constant independent of ε. Then for any ε>0 there exists a weak solution uε of the problem

    {(Δ)suε=g(.,uε+ε)+λhinΩ,uε=0inRnΩ,uε>0inΩ. (2.42)

    such that:

    i) uε˜vε and there exist positive constants c and c independent of ε such that cdsΩuεcdsΩ in Ω,

    ii) If u_εXs0(Ω) and (Δ)su_εg(.,u_ε+ε)+λh in Ω, then u_εuε in Ω,

    iii) If 0<ε<η then uεuη.

    Proof. Let {uj}jN be as given by Lemma 2.9. For xΩ, let uε(x):=limjuj(x). By Lemma 2.8, {uj}jN converges to uε in Xs0(Ω) and uε is a weak solution to (2.42). From Lemma 2.9 iv) we have uε˜vε in Ω and cdsΩuεcdsΩ in Ω, for some positive constants c and c independent of ε. Then i) holds. If u_εXs0(Ω) and (Δ)su_εg(.,u_ε+ε)+λh in Ω, then (Δ)su_ελh=(Δ)su1 in Ω, and so u_εu1. Thus (Δ)su_εg(.,u_ε+ε)+λhg(.,u1+ε)+λh=(Δ)su2, then u_εu2 and, iterating this procedure, we obtain that u_εuj for all j. Then u_εuε. Thus ii) holds. Finally, iii) is immediate from ii).

    Lemma 2.11. Let ε>0 and let τ1 and M1 be as in Remarks 2.2, and 2.3 respectively. Let wε be as in Lemma 2.5. Then, for λτ1M1, there exists a weak solution uεXs0(Ω) of problem (2.42) such that

    i) uεwε and there exist positive constants c and c, both independent of ε, such that cdsΩuεcdsΩ in Ω,

    ii) If u_εXs0(Ω) and (Δ)su_εg(.,u_ε+ε)+λh in Ω, then u_εuε in Ω,

    iii) If 0<ε1<ε2 then uε1uε2.

    Proof. Let λτ1M1 and let wε be as in Lemma 2.5. We have, in weak sense,

    {Δwε=g(.,wε+ε)+τ1M1h in Ω,wε=0 on RnΩ,

    Also, g(.,wε+ε)+τ1M1hg(.,wε+ε)+λh in Ω, and cdsΩwεcdsΩ in Ω, with c and c positive constants independent of ε. Then the lemma follows from Lemma 2.10.


    3. Proof of the main results

    Lemma 3.1. Let λ>0. If problem (1.5) has a weak solution in E, then it has a weak solution uE satisfying uψ a.e. in Ω for any ψE such that Δψg(.,ψ)+λh in Ω.

    Proof. Let uE be a weak solution of (1.5), and let ¯u be as in (2.40). By the comparison principle u ¯u in Ω. We construct inductively a sequence {uj}jNE with the following properties: u1=¯u and

    i) uuj¯u for all jN

    ii) g(.,uj)(Xs0(Ω)) for all jN.

    iii) ujuj1 for all j2.

    iv) For all j2

    {(Δ)suj=g(.,uj1)+λh in Ω,uj=0 on RnΩ.

    To do it, define u1=:¯u. Thus u1E. By the comparison principle, u¯u, i.e., uu1. By Remark 2.1there exist positive constants c and c such that cdsΩ¯ucdsΩ in Ω. Thus |g(.,¯u)+λh|g(.,cdsΩ)+λh and so g(.,u1)+λh(Xs0(Ω)). Thus i) and ii) hold for j=1. Define u2 as the weak solution of

    {(Δ)su2=g(.,u1)+λh in Ω,u2=0 on RnΩ.

    Then, in weak sense,

    {(Δ)su2(Δ)su1 in Ω,u2=0=u1 on RnΩ.

    and so u2u1=¯u a.e. in Ω. Since u1u, we have, in weak sense,

    {(Δ)su2=g(.,u1)+λhg(.,u)+λh=(Δ)su in Ω,u2=0=u on RnΩ.

    and then u2u a.e. in Ω. Thus uu2¯u. In particular this gives u2E. Let c>0 such that ucdΩ in Ω. Now, |g(.,u2)+λh|g(.,u2)+λhg(.,u)+λhg(.,cdsΩ)+λh and so g(.,u2)+λh(Xs0(Ω)). Thus i)iv) hold for j=2. Suppose constructed, for 2jk, functions ujE with the properties i)iv). Define uk+1 by

    {(Δ)suk+1=g(.,uk)+λh in Ω,uk+1=0 on RnΩ.

    Thus, by the comparison principle, uk+1¯u. Also, by the inductive hypothesis, uku, then

    {(Δ)suk+1=g(.,uk)+λhg(.,u)+λh in Ω,uk+1=0=u on RnΩ.

    and so uk+1u. Then uuk+1¯u. In particular uk+1E. Again by the inductive hypothesis, ukuk1. Then

    {(Δ)suk+1=g(.,uk)+λhg(.,uk1)+λh=(Δ)suk in Ω,uk+1=0=uk on RnΩ.

    and so uk+1uk. Also, |g(.,uk+1)+λh|g(.,uk+1)+λhg(.,u)+λhg(.,cdsΩ)+λh and so g(.,u2)+λh(Xs0(Ω)). Thus i)iv) hold for j=k+1, which completes the inductive construction of the sequence {uj}jN. For xRn let u(x):=limjuj(x). By i) we have cdsΩujcdsΩ in Ω for all jN, and so cdsΩucdsΩ in Ω. By Lemma 2.8 {uj}jN converges in Xs0(Ω) to some weak solution uXs0(Ω) of problem (1.5). Thus, by the Poincaré inequality, {uj}jN converges to u in L2s(Ω), which implies u=u. Thus uXs0(Ω) and u is a weak solution of problem (1.5). Since cdsΩujcdsΩ in Ω for all j, we have cdsΩucdsΩ in Ω. Thus uE. Let ψE such that Δψg(.,ψ)+λh in Ω. By the comparison principle, ψu a.e. in Ω. An easy induction shows that ψuj for all j. Indeed, by the comparison principle, ψ¯u=u1. Then

    {(Δ)sψg(.,ψ)+λhg(.,u1)+λh=(Δ)su2 in Ω,ψ=0=u2 on RnΩ.

    Thus, again by the comparison principle, ψu2. Suppose that k2 and ψuk. Then, in weak sense,

    {(Δ)sψg(.,ψ)+λhg(.,uk)+λh=(Δ)suk+1 in Ω,ψ=0=uk+1 on RnΩ,

    which gives ψuk+1. Thus ψuj for all j, and so ψu.

    Proof of Theorem 1. Let {εj}jN(0,) be a decreasing sequence such that limjεj=0. For λτ1M1 and jN, let uεj be the weak solution of problem (2.42), given by Lemma 2.11, taking there ε=εj. Then {uεj}jN is a nonincreasing sequence in Xs0(Ω) and there exist positive constants c and c such that cdsΩujcdsΩ in Ω for all jN. Therefore, by Lemma 2.8, {uεj}jN converges in Xs0(Ω) to some weak solution uXs0(Ω) of problem (1.5). Let

    T:={λ>0: problem (1.5) has a weak solution uE}.

    Thus λT whenever λτ1M1. Consider now an arbitrary λT, and let λ>λ. Let uE be a weak solution of the problem

    {(Δ)su=g(.,u)+λh in Ω,u=0 on RnΩ.

    Let {εj}jN(0,) be a decreasing sequence such that limjεj=0. We have, in weak sense,

    {(Δ)su=g(.,u)+λhg(.,u+εj)+λh in Ω,u=0 on RnΩ.

    Then, by Lemma 2.9, used with ε=εj, ˜vεj=u, and with λ replaced by λ, there exists a nonincreasing sequence {˜uεj}jNXs0(Ω) such that

    {(Δ)s˜uεj=g(.,˜uεj+εj)+λh in Ω,˜uεj=0 in RnΩ,

    satisfying that ˜uεju for all jN, and cdsΩ˜uεjcdsΩ in Ω for some positive constants c and c independent of j. Let ˜u:=limj˜uεj. Proceeding as in the first part of the proof, we get that ˜uE and that ˜u is a weak solution of problem (1.5). Then λT whenever λ>λ for some λT. Thus there exists λ0 such that (λ,)T[λ,).

    By Lemma 3.1, for any λT there exists a weak solution uE of problem (1.5) such that uψ a.e. in Ω for any ψE such that (Δ)sψg(.,ψ)+λh in Ω.

    Suppose now that g(.,s)bsβ a.e. in Ω for any s(0,) for some bL(Ω) such that 0b0 in Ω. Then there exist a constant η0>0 and a measurable set Ω0Ω such that |Ω0|>0 and bη0 in Ω0. Let λ1 be the principal eigenvalue for (Δ)s in Ω with Dirichlet boundary condition φ1=0 on RnΩ, and let φ1Xs0(Ω) be an associated positive principal eigenfunction. Then

    λ1Ωφφ1=Rn×Rn(φ(x)φ(y))(φ1(x)φ1(y))|xy|n+2sdxdy

    and φ1>0 a.e. in Ω (see e.g., [25], Theorem 3.1). Let λT and let uE be a weak solution of (1.5). Thus

    λ1Ωuφ1=Rn×Rn(u(x)u(y))(φ1(x)φ1(y))|xy|n+2sdxdy=Ω(φ1g(.,u)+λhφ1)Ω(buβφ1+λhφ1)

    and so

    λΩhφ1Ω0(λ1u+buβ)φ1infs>0(λ1s+η0sβ)Ω0φ1

    thus λinfs>0(λ1s+η0sβ)(Ωhφ1)1Ω0φ1 for any λT. Then λ>0.

    Lemma 3.2. Let g:Ω×(0,)[0,) be a Carathéodory function. Assume that sg(x,s) is nonincreasing for a.e. xΩ, and that, for some aL(Ω) and β[0,s), g(.,s)asβ a.e. in Ω for any s(0,). Then g satisfies the conditions g1)-g5) of Theorem 1.2.

    Proof. Clearly g satisfies g1) and g2). Let σ>0. By Lemma 2.7, 0g(.,σdsΩ)aσβdsβΩ(Xs0(Ω)) and so g(.,σdsΩ)(Xs0(Ω)). Also, from the comparison principle, 0((Δ)s)1(dsΩg(.,σadsΩ))((Δ)s)1(σβadsβΩ) in Ω, and, since adsβΩL(Ω), by Remark 2.1 iii), there exists a positive constant c such that ((Δ)s)1(σadsβΩ)cdsΩ in Ω. Thus dsΩ((Δ)s)1(dsΩg(.,σdsΩ))L(Ω). Then g satisfies g3). In particular, dsΩ((Δ)s)1(dsΩg(.,dsΩ))L(Ω). Since, for σ1,

    0(σdsΩ)1((Δ)s)1(dsΩg(.,σdsΩ))σ1dsΩ((Δ)s)1(dsΩg(.,dsΩ)),

    we get limσ(σdsΩ)1((Δ)s)1(dsΩg(.,σdsΩ))=0. Also, by the comparison principle,

    0dsΩ((Δ)s)1(g(.,σ))σβdsΩ((Δ)s)1(a),

    and, by Remark 2.1 iii), dsΩ((Δ)s)1(a)L(Ω). Thus

    limσdsΩ((Δ)s)1(g(.,σ))L(Ω)=0.

    Then g4) holds. Finally, 0dsΩg(.,σdsΩ)σβdsβΩa and so g5) holds.

    Proof of Theorem 1.3. The theorem follows from Lemma 3.2 and Theorem 1.2.


    Conflict of interest

    The author declare no conflicts of interest in this paper.



    Abbreviation WM: Working memory; fMRI: functional Magnetic Resonance Imaging; IFG: Inferior Frontal Gyrus; BA: Brodmann area; STG: Superior Temporal Gyrus; SMA: Supplementary motor area; Pre-SMA: Pre-Supplementary motor area; AF: Arcuate Fasciculus; DLPFC: Dorsolateral prefrontal cortex; ACC: Anterior cingulate cortex; DMN: Default-Mode network; EEG/ERP: Electroencephalography/Event-Related potential; PET: Positron Emission Tomography; MTG: Middle Temporal Gyrus; PCC: Posterior cingulate cortex; OFC: Orbitofrontal cortex; MD: Multiple demand;

    Conflicts of interest



    The authors declare no competing interests and no relationship that may lead to any conflict of interest.

    1 The n-back task is administered broadly to study WM. The task consists of a list of visual or auditory stimuli that is presented to participants. They are instructed to indicate whether each stimulus is a correct match with the nth stimulus presented before. The n-back task demands constantly storing, updating information and inhibiting distractors. The cognitive load can be altered in this task by changing the value of n, which correspondingly may affect accuracy and reaction times. In the n-back task, visual or auditory stimuli are stored in the phonological loop or visuospatial sketchpad loop while selecting the correct answer depends on the central executive function. The central executive function is responsible for updating information and inhibiting the processing of irrelevant information. Brain functions linked to different types of WM (such as visuospatial WM) can be examined by using n-back tasks.

    2 The WM span tasks are divided into two main categories: simple and complex span tasks. The simple span task requires encoding a list of items (e.g., words) and maintaining that information during short delay periods and then recalling them. On the other hand, the complex span task includes presenting a list of items and asking participants to memorize them while performing another cognitive task (e.g., mathematics problem-solving, reading) and then recalling them. Performing the distractive task while maintaining task-relevant information makes the maintaining phase more difficult by directing attention towards task-irrelevant information. The span tasks, particularly complex span tasks, need storing, updating information and inhibiting distractors.

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