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Brezis Nirenberg type results for local non-local problems under mixed boundary conditions

  • In this paper, we are concerned with an elliptic problem with mixed Dirichlet and Neumann boundary conditions that involve a mixed operator (i.e., the combination of classical Laplace operator and fractional Laplace operator) and critical nonlinearity. Also, we focus on identifying the optimal constant in the mixed Sobolev inequality, which we show is never achieved. Furthermore, by using variational methods, we provide an existence and nonexistence theory for both linear and superlinear perturbation cases.

    Citation: Lovelesh Sharma. Brezis Nirenberg type results for local non-local problems under mixed boundary conditions[J]. Communications in Analysis and Mechanics, 2024, 16(4): 872-895. doi: 10.3934/cam.2024038

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  • In this paper, we are concerned with an elliptic problem with mixed Dirichlet and Neumann boundary conditions that involve a mixed operator (i.e., the combination of classical Laplace operator and fractional Laplace operator) and critical nonlinearity. Also, we focus on identifying the optimal constant in the mixed Sobolev inequality, which we show is never achieved. Furthermore, by using variational methods, we provide an existence and nonexistence theory for both linear and superlinear perturbation cases.



    In this study, we focus on elliptic operators of mixed local and non-local types (mixed Dirichlet and Neuman boundary conditions) concerning possible positive solutions for critical problems and possible optimizers of appropriate mixed Sobolev inequality. We examine the existence of solutions to the perturbed critical problem.

    {Tw=w21+λwp,w>0in O,w=0inUc,Ns(w)=0inΠ2,wν=0inO¯Π2. (Pλ)

    where U=(ΩΠ2(Ω¯Π2)) and ΩΠ2 is a bounded set with smooth boundary, n3, 1p<21=n+2n2 and λR. Here, ORn is a nonempty open set, Π1, Π2 are open subsets of RnˉO such that ¯Π1¯Π2=RnˉO, Π1Π2= and

    T=Δ+(Δ)s,fors(0,1). (1.1)

    An operator that combines classical Laplace operator Δ and fractional Laplace operator (Δ)s is referred to as being 'mixed'. The fractional Laplace operator is defined by

    (Δ)sw(x)=Cn,sP.V.Rnw(x)w(y)|xy|n+2sdy,s(0,1).

    The abbreviation "P.V." denotes the Cauchy principal value and

    Cn,s=(Rn1cos(z1)|z|n+2sdz)1.

    Without discussing the specific instances of how this non-local operator is useful in the actual situations, and the motivations for investigating issues with them, see [1] and references therein for more details. The study of the mixed operators of the form L in (1.1) is motivated by a wide range of applications. The numerous applications serve as the motivation for the comprehensive analysis of operator T in the problem (Pλ), such as the concept of optimum exploration mathematical biology, we refer to [2,3,4,5,6], and other common uses include heat transmission in magnetized plasmas; see [7]. These types of operators are naturally developed in the applied sciences to investigate the changes in physical phenomena that have both local and nonlocal effects. Based on these operators, diffusion patterns change over different time scales, with the lower-order operator taking the lead for long-term patterns and the higher-order operator leading for short-term patterns they arise, for instance, in bi-modal power law distribution processes; see [8]. Further applications arise in the theory of optimal searching and biomathematics; we refer to [2,3] and the references therein. Also, this type of operator emerges in models derived from combining two distinct random processes in the probability theory; for a comprehensive explanation of such a phenomenon, refer to [9]. Recently, there has been a considerable focus on investigating elliptic problems having mixed-type operator T, as in (Pλ), exhibiting both local and nonlocal behaviour. Let us put some light on literature involving mixed operator L problems along the existing long list. Biagi, Dipierro, and Valdinoci [10] have provided a comprehensive analysis of a mixed local and non-local elliptic problem. Throughout their study, they proved the existence of solutions to the elliptic problem, explored the maximum principles that govern the behaviour of these solutions, and investigated the interior Sobolev regularity of the solutions.

    The investigation of mixed-type operators is a widely studied area that is emerging in diverse fields. This includes scenarios like combining the Lévy stable process, which finds intriguing applications in understanding animal cropping technique, as discussed in [2,3,11,12]. Aizicovici et al. in [13] have studied the nonlinear logistic equation of the superdiffusive type driven by a nonhomogeneous differential operator with Robin boundary condition and existence and multiplicity results of positive solutions to the linearly coupled Hartree systems with critical exponent involving the classical Laplace operator studied by Mao et al. in [14], and also interesting nonlocal Hilfer proportional sequential fractional multi-valued boundary value problems have been studied by [15]. Motivated by the investigation of non-linear problems having critical exponents, in particular those arising from optimizers of the Sobolev inequality, the concerns addressed in this paper are motivated. Their findings contribute to a better understanding of the characteristics of solutions to the following

    {Tu=g(u),u>0in O,u=0inRnO. (1.2)

    Authors have studied various interesting inequalities for mixed operator L in [16,17]. Lamao et al. in [18] found out the behavior and properties of solutions to (1.2), specifically focusing on their summability characteristics. We also refer to [19,20,21] for interested readers, where we point out that [21] contains a study of mixed operator Neumann problem. The non-linear generalization of L given by Δp+(Δp)s has also started gaining attention for mixed operators. Dipierro et al. in [22] were the first to consider mixed operator problems in the presence of classical as well as non-local Neumann boundary conditions. Their recent article discusses some characteristics and regularity results corresponding with a mixed local and non-local problem, further with certain specific incentives derived from mathematics models and population growth. It is worth commenting that none of these articles studies mixed operator problems under mixed boundary conditions. This made us curious about what happens when we set up a PDE involving mixed operator L under boundary conditions involving Dirichlet datum in some part and Neumann (local and non-local both) datum in the remaining part. To answer this, we started with (Pλ) and the combination of mixed operator as well as mixed Dirichlet Neumann boundary, which is the striking feature of our paper. In particular, when T=Δ in (Pλ), Grossi [23] studied classical problems with mixed boundary conditions and established solutions under some appropriate assumption on parameter λ. In [24], authors have studied the behaviour of the Sobolev constant with a mixed boundary condition, where the main goal is to examine appropriate emphasis concerning the Neumann boundary of a sequence that minimizes using the standard isoperimetric inequalities. In our study, we define a function space where it contains those functions that are vanishing on some part of RnˉO. Due to this behavior, the best constant depends on some part of RnˉO, but in the Dirichlet boundary case, best constant does not depend on O. For further study, see [24]. Biagi et al. [25] studied existence and non-existence outcomes to (Pλ) type problems under the Dirichlet boundary condition. The motivation for this paper arises from the investigation of nonlinear problems with critical exponents. These problems are modeled as

    Lu=f(u)+λg(u),

    under some conditions on u and L is some operator like (local/nonlocal/mixed). Here f(u) and g(u) represent the critical and subcritical nonlinearities, respectively, and λR is a parameter. With all the above literature as motivation where, many authors have studied the existence/nonexistence and multiplicity of the solutions. We are curious about the critical problem involving mixed local and nonlocal operator T under the mixed Dirichlet and Neumann boundary conditions. We proved similar results as in [25] pertaining to problem (Pλ) with mixed boundary conditions in the same spirit. There exists no single article at present that studies such a problem with mixed boundary conditions; hence, our article is a breakthrough in this regard. Last but not least, we try to provide a glimpse of problems available in literature, involving Dirichlet Neumann's mixed boundary datum to the readers. Brezis et al. in [26], consider the following Dirichlet boundary value problem:

    {Δu=up+f(x,u),u>0in Ω,u=0inΩ. (1.3)

    where Ω is the bounded domain of Rn, p=21n3 and in particular, f(x,u)=λu. They have studied the existence of solutions to (1.3) for every λ(0,λ1), (λ1 is the first eigenvalue of Δ) when n4 and problem (1.3) has no solution if λ(0,λ1) and Ω is star-shaped domain. In [27], Valdinoci et al. studied the fractional counterpart of problem (1.3) and its results can be seen as an extension of the classical Brezis-Nirenberg results. Recently, Biagi et al. in [28] have studied the corresponding Sobolev inequality and found the optimal constant, which is never achieved, and they also proved the existence and non-existence of a positive solution to a mixed elliptic problem (Pλ) with the Dirichlet boundary condition using the variational methods. Currently, we have worked on the first principle eigenvalue problem with mixed operators involving mixed boundary conditions in [29]. Using its advantage, we extend the results of [28] in our article. Our optimal constant does not depend on the whole domain as [28]: it only depends on some part of the boundary of the domain. Our findings offer specific advantages over existing results by introducing a novel approach to nonlinear problems with critical exponent, which enhances the understanding of this problem (Pλ) with mixed boundary conditions. These contributions hold substantial potential impact for both theoretical developments and practical applications in related fields. We also established L result of positive of solutions and maximum principle for problem (Pλ).

    First, we looked into the mixed Sobolev inequality for the case of the mixed operators where the domain is divided into two disjoint parts, Π1 and Π2. More precisely, suppose n3 and 2=2nn2 critical Sobolev exponent. Fix s(0,1). Let O be an open set that may not be bounded. We assume that w:RnR that are vanshis outside of U. So, we define the following mixed Sobolev inequality

    Sn,s(O,Π1)w2L2(O)w2L2(O)+Q|w(x)w(y)|2|xy|n+2sdxdy. (1.4)

    Here, constant Sn,s(O,Π1) is taken to be large enough for which inequality (1.4) is satisfied.

    We observe that equation (1.4) holds by choosing the constant that is less than or equal to the following classical Sobolev constant (which depends at some portion on the boundary of O)

    S(Π2)=(n(ξn2)1nCn22n)2, (1.5)

    where ξn is the measure of the unit ball in Rn and C=ΓnΓ(n2Γ(n2+1)(12)3n22, to further details, we refer to [23,24]. From [23], we have classical best Sobolev constant SnS(Π2). Since from well known the Sobolev inequality:

    S(Π2)w2L2(O)w2L2(O)w2L2(O)+Q|w(x)w(y)|2|xy|n+2sdxdy=ζ(w)2.

    Also, we can see the largest possible constant in (1.4) certainly satisfies Sn,s(O,Π1)S(Π2) and S(Π2) depends on some part of domain O. Our goal is to demonstrate the interaction between Sn,s(O,Π1) and S(Π2) in the following theorem.

    Theorem 1.1. Suppose s(0,1), ORn is an open set. Then, the following holds true

    Sn,s(O,Π1)=S(Π2). (1.6)

    In the following result, we show the optimal constant Sn,s(O,Π1) in (1.4) is never achieved.

    Theorem 1.2. Suppose ORn is an open set. Then, Sn,s(O,Π1) in (1.4) is never achieved.

    Now, our following result gives us surety of the nonexistence solutions to this problem (Pλ) for λ0 and star-shaped bounded domain.

    Theorem 1.3. Suppose λ0 and ORn is a star-shaped bounded domain. Then, (Pλ) has no solutions, where 1p<21.

    Proof. We follow the same ideas from [Theorem 1.3 in [25]] to complete this proof and also we can easily complete our proof by using Pohozaév identity and borrowed ideas from [Theorem 1.8 in [30]].

    Furthermore, analysis of the existence theory to the problem (Pλ) is dependent on λ. Let us quickly review the approach of Grossi et al. [23]. We used concepts from [25] to identify the existence of solutions and studied the properties of the map λSλ,s to determine the inequality Sλ,s<S(Π2). In the case of p=1 and for any range of λ, we show problem (Pλ) has no solution. However, (Pλ) has a solution inside an intermediate range of λ. More precisely, denoting by λ1,s the first eigenvalue of (Δ)s with mixed Dirichlet-Neumann boundary condition in a bounded open set O and by λ the first eigenvalue of T in O with mixed Dirichlet-Neumann boundary condition, see [29], we have the following result.

    Theorem 1.4. Let p=1 (linear case) and O be nonempty bounded open set. There exists λ[λ1,s,λ) such that the problem (Pλ) possesses at least one solution if λ(λ,λ). Furthermore, the following are true

    1. For λλ, problem (Pλ) has no solutions.

    2. Suppose 0<λλ1,s and B={wL2(O):wL2(O)S(Π2)n24}L2(O). Then (Pλ) have no solutions in B.

    In the case of the superlinear perturbation, the scenarios are very different, and the following outcome is demonstrated using the variational method, which is based on the Mountain pass geometry, see in [31] and to prove it we state the existence result below.

    Theorem 1.5. Suppose p(1,21), n3. Then, problem (Pλ) has a non-trivial solution

    1. If αs,n>τp.n, for all λ>0.

    2. If αs,nτp.n, λ>0 large enough.

    where,

    αs,n=min(2(1s),n2),andτp.n=n(p+1)(n2)2. (1.7)

    The article is organized in the following way : Section 2 presents the functional framework suitable for mixed classical and fractional Laplace operators with mixed Dirichlet and Neumann boundary conditions. In Section 3, we focused on the analysis of mixed-order Sobolev-type inequality and proved the main results 1.1, 1.2. In Section 4, we present the analysis of the critical problem. Next, we provide an analysis of the critical problem in Section 4 and also for both cases p=1 and 1<p<21, we complete proof of Theorem 1.4, Theorem 1.5.

    Throughout this section, we set our notations and formulate the functional setting for (Pλ), which shall be useful throughout the paper. More precisely, we define the function spaces to study (Pλ), and also investigated the existence of an optimal constant for some mixed Sobolev-type inequalities.

    For every s(0,1), we recall the fractional Sobolev spaces; see [32],

    Hs(Rn)={uL2(Rn):|u(x)u(y)||xy|n2+sL2(Rn×Rn)}.

    We assume that OΠ2 is bounded with a smooth boundary. We define the function space X1,2D(OΠ2(O¯Π2)) as the completion of C0(OΠ2(O¯Π2)) equipped with the following norm

    ζ(u)2=||u||2L2(O)+[u]2s,uC0(OΠ2(O¯Π2)),

    where [u]s is the Gagliardo seminorm of u defined by

    [u]2s=(Q|u(x)u(y)|2|xy|n+2sdxdy).

    The symbol U is used throughout the article instead of (OΠ2(O¯Π2)) to keep things simple. and Q=R2n(Ωc×Ωc).

    Specifically for URn, we have

    u0a.e.inUc=Π1(O¯Π1),for alluX1,2Π1(U). (2.1)

    In order to verify equation (2.1), suppose U is bounded, then we can see as

    X1,2U(O)=¯C0(U).H1(Rn)={uH1(Rn):w|UH10(U),w0a.e.inUc}.

    The Sobolev inequality allows us to deduce the existence of constant C=S(Π2)>0. Given

    by the classical Sobolev inequality, we infer the existence of a constant, independent by O, such that

    S(Π2)w2L2(O)w2L2(O)ζ(w)2uC0(U). (2.2)

    In particular, when O=Rn, we have

    X1,2Π1(Rn)={wL2(Rn):wL2(Rn)and[w]2s<}.

    We now describe a few essential properties of X1,2Π1(U) space. The proof of the following proposition can be found in the appendix.

    Proposition 2.1. The space (X1,2Π1(U),.,.) is a Hilbert space under the following inner product defined by

    w,v=Owvdx+Q(w(x)w(y))(v(x)v(y))|xy|n+2sdxdy.

    Proposition 2.2. If s (0,1), then for every w,vX1,2Π1(U), it holds

    OvTwdx=Owvdx+Q(w(x)w(y))(v(x)v(y))|xy|n+2sdxdyO¯Π2vwνdσΠ2vNswdx.

    Proof. By directly using the integrate by parts formula and w,v0 a.e. in Π1(O¯Π1)=Uc, we can follow Lemma 3.3 of [33] to obtain the conclusion.

    Definition 2.3. We say that wX1,2Π1(U) is a weak solution to the problem (Pλ) if

    Owφdx+Q(w(x)w(y))(φ(x)φ(y))|xy|n+2sdxdy=O(w21+λwp)φdx, (2.3)

    φX1,2Π1(U) as a test function.

    We can see the definition 2.3 is well defined. Indeed, if w,vX1,2Π1(U), then

    |Owvdx+Q(w(x)w(y))(v(x)v(y))|xy|n+2sdxdy|O|wv|dx+Q|w(x)w(y)||v(x)v(y)||xy|n+2sdxdywL2(O)vL2(O)+[w]s[v]s2ζ(w)ζ(v)<.

    Moreover, since X1,2Π1(O)L2(O) and p<21, using Hölder's inequality. We also have

    O|(w21+λwp)v|dxCwL2(O)vL2(O)+|λ|wL2(O)vL22p(O)<.

    Now, we introduce the functional Jλ associated to (Pλ) i.e.

    Jλ:X1,2Π1(U)R,such that
    Jλ(w)=12ζ(w)212O|w|2dxλp+1O|w|p+1dx, (2.4)

    we can see that functional Jλ is C1. If w is a critical point of Jλ then we conclude that w is a weak solution to (Pλ). Due to non-compactness, we can not use the standard minimization technique to prove the existence of the solution to (Pλ) since functional Jλ does not satisfy the Palais-Smale (PS)c condition.

    Remark 2.4. We can see this by the density argument to C0(U) in X1,2Π1(U), we may extend inequality (2.2) to every function wX1,2Π1(U), then we obtain

    S(Π2)w2L2(O)ζ(w)2=w2L2(O)+[w]2s.

    The mixed Sobolev inequality (2.2) is the subject of further investigation in this section, that is,

    S(Π2)w2L2(O)ζ(w)2,wC0(U),

    to proving Theorems 1.1 and 1.2. Because of this, our main aim is to figure out the sharp constant in (2.2), namely,

    Sn,s(O,Π1)=inf{ζ(w)2:wC0(U)M(O)}, (3.1)

    where

    M(O)={wL2(O):wL2(O)=1}.

    Since, C0(U) is dense in X1,2Π1(U) corresponding to the norm ζ(), using embedding X1,2Π1(U)L2(O), we have

    Sn,s(O,Π1)=inf{ζ(w)2:wX1,2Π1(U)M(O)}.

    Furthermore, we know the constant Sn,s(O,Π1) is translation invariant.

    Let us recall some useful properties of S(Π2). For a detail study of these properties, see in [23].

    Remark 3.1. We define

    S(Π2)=inf{w2L2(O):wC0(U)M(O)}, (3.2)

    We observe that the constant S(Π2), defined by (3.2), depends on some part of the boundary of O, under some suitable hypotheses, is achieved. Lions et al. in [24], establish adequate geometric conditions for the domains O and Π2 that guarantee the achieving of the optimal constant S(Π2), utilizing symmetrization arguments derived from the classical isoperimetric inequality. We follow from [Theorem 2.1 in [34]] to get the following result and also for more study about the best Sobolev constant which depends on the domain O, see in [23]. We recall the following result (in our notations) that represents the relations between S(Π2) and Sn=1n(n2)π(Γ(n)Γ(n2))2n, is the classical Sobolev constant see [26].

    Theorem 3.2. Let ORn be a bounded regular domain, then

    S(Π2)21nSn

    moreover, if Π2 is smooth and S(Π2)<21nSn, then the constant S(Π2) is achieved, where Sn is the classical best Sobolev constant.

    Properties of S(Π2) and Sn:

    1. The best constant S(Π2) is dependent on domain O. We have the following explicit expression

    S(Π2)=(n(ξn2)1nCn22n)2, (3.3)

    where, Γ() is the Euler Gamma function.

    2. For any open set O, we have

    S(Π2)=inf{w2L2(O):wD1,20(U)M(O)},

    where, D1,20(U) is the clousre of the space C0(U) under the gradient norm wL2(O).

    3. Suppose O is a bounded set, then Sn is never achieved.

    4. In particular, when U=Rn, then Sn and S(Π2) are attained by the family of functions

    A={Ht,x0(x)=t2n2F((xx0)/t):t>0,x0Rn},

    where

    F(z)=c(1+|z|2)2n2,c>0suchthatFL2(Rn)=1.

    So, we can show the following Theorem 1.1.

    Proof of Theorem 1.1. Since, ζ(w)2w2L2(O),wC0(U) and also Sn,s(O,Π1) is translation-invariance. So, we have

    Sn,s(O,Π1)inf{w2L2(O):wC0(U)M(O)}=S(Π2).

    Now, to prove the reverse inequality, without loss of generality, we may suppose that x0=0O, and r>0 such that Br(0)O. We see for any wC0(U)M(O), there exists n0=n0(w)N such that

    supp(w)Bκr(0)κn0,

    now set wκ(x)=κn22w(κx), for κn0, we see that

    supp(wκ)Br(0)OandwκL2(O)=1.

    By the definition of Sn,s(O,Π1), we can see

    Sn,s(O,Π1)ζ(wκ)2=wκ2L2(O)+[wκ]2s=w2L2(O)+κ2s2[w]2s,nn0.

    Then, we have

    Sn,s(O,Π1)w2L2(O),

    as κ, since 0<s<1. As wC0(U)M(O) is arbitrary, then using Remark 3.1, we obtain

    Sn,s(O,Π1)S(Π2),

    and we proved the required inequality: Sn,s(O,Π1)=S(Π2).

    We are now able to show Theorem 1.2.

    Proof of Theorem 1.2. By contrary argument, if we suppose there exists a nonzero function w0X1,2Π1(U) such that w0L2(O)=1 and ζ(w0)2=w02L2(O)+[w0]2s=S(Π2). We have X1,2Π1(U)D1,20(U) by straightforwardness of the fact that ζ(w0)w02L2(O), see above properties (2), we have

    S(Π2)w02L2(O)w02L2(O)+[w0]2s=ζ(w0)2=S(Π2),

    that implies [w0]s=0. Hence, w0 must be constant in Rn. We have a contradiction with the fact w0L2(O)=1.

    Remark 3.3. Our Theorem 1.2 says that constant Sn,s(O,Π1)=S(Π2) is never achieved in the space X1,2Π1(U) but if (U=Rn) we show S(Π2) achieve in a limiting sense. More precisely, if A={Hθ,x0} which is defined in (4), we have

    ζ(Hθ,x0)2S(Π2)asθ.

    Indeed,

    |F(θ)|Dmin{1,|θ|2n}and|F(θ)|Dmin{|θ|,|θ|1n},

    for some D>0. Therefore (constant D varies in the following calculations)

    [F(θ)]2s=Rn×Rn|F(x+y)F(x)|2|y|n+2sdxdyRn×B1|10F(x+θy)ydθ|2dxdy|y|n+2s+2Rn×(RnB1)(|F(x+y)|2+|F(x)|2)dxdy|y|n+2sRn×B1×(0,1)min{|x+θy|2,|x+θy|2(1n)}dxdydθ|y|n+2s2+4Rn×(RnB1)|F(t)|2dtdy|y|n+2sRn×B1×(0,1)min{|t|2,|t|2(1n)}dtdydθ|y|n+2s2+DRn×(RnB1)min{1,|t|2(2n)}dtdy|y|n+2s.

    So, [F(θ)]2s<+. Hence, FX1,2Π1(Rn) and consequently Hθ,x0X1,2Π1(Rn),θ>0 and x0Rn. Moreover, recalling that

    Hθ,x0(x)=θ2n2F(xx0θ)andHθ,x0L2(Rn)=FL2(Rn)=1,

    follows same idea of the proof of Theorem 1.1 we have

    ζ(Hθ,x0)2=ζ(Hθ,0)2=F2L2(Rn)+θ2s2[F]2s.

    From this, since F=H1,0. We obtain

    ζ(Hθ,x0)2F2L2(Rn)=S(Π2),asθ.

    In the following section, we discussed the critical problems involving mixed operator settings with mixed boundary conditions.

    We now develop our study for the existence and non-existence of solutions to the problem (Pλ).

    Suppose O is a bounded set with smooth boundary, λ is a real parameter, and 1p<21. Moreover, we adopt all the definitions and notation of Section s 2, 3. Finally, we introduce nonnegative space

    X1,2+(U)={wX1,2Π1(U):w0 a.e. in U}.

    We are defining the definition of solution to (Pλ).

    Definition 4.1. We say that a uX1,2+(U) is a weak solution to (Pλ) if it satisfies the following properties

    1. |{xU:u(x)>0}|>0,

    2. For every test function φX1,2+(U) we have

    Ouφdx+Q(u(x)u(y))(φ(x)φ(y))|xy|n+2sdxdy=O(u21+λup)φdx.

    To study the existence of solutions to (Pλ), first we prove the solution is non-negative and bounded by the following theorem.

    Theorem 4.2. Let w0X1,2+(U) be the solution to (Pλ) and λR, 1p<21. Then, the following facts hold:

    1. w0L(O),

    2. if λ0, then w0>0 a.e. in U.

    Proof. We can easily prove w0L(O) by using [Theorem 4.1] [28] and also easily it can be followed from well know result Moser's iteration method; see [Theorem 1.1 in [35]]. By the fact that just using the definition of function space, w00 a.e. in Uc, implies that w0L(Rn). Suppose λ0 and recall that w0 is a solution of (Pλ) (in the sense of Definition (4.1)), and since w00 a.e. in U, for every φX1,2+(U), we find

    Owφdx+Q(w(x)w(y))(φ(x)φ(y))|xy|n+2sdxdy=O(w21+λwp)φdx0, (4.1)

    for each φX1,2+(U). By using the Strong Maximum Principle, refer to [29], we have w0>0 a.e. in U.

    Thanks to Theorem 4.2, we are able to prove Theorem 1.3.

    Next, for λ>0, we can start our study separately for the linear case p=1 and the superlinear case 1<p<21 of the solvability of (Pλ).

    Let us start studying to solve the following problem (Pλ)

    {Tw=w21+λw,w>0in O,w=0inUc,Ns(w)=0inΠ2,wν=0inO¯Π2. (Pλ)

    In this context, we study for any λ>0, solutions to problem (Pλ) correlates the first eigenvalues λ1,s and λ of (Δ)s and of T with mixed boundary conditions respectively.

    Definition 4.3. For O is the bounded open set, we define

    (1) [see [36]], the first eigenvalue of (Δ)s with mixed boundary conditions as

    λ1,s=inf{[w]2s:uC0(U)andwL2(O)=1}; (4.2)

    (2) [see [29]] the first eigenvalue of T with mixed boundary conditions as

    λ=inf{ζ(w)2:wC0(U)andwL2(O)=1}. (4.3)

    We subsequently provide a brief overview of the main properties of λ1,s, and λ in the following remark.

    Remark 4.4. (Some Properties of λ1,s and λ). As regards λ1,s we observe that, since the map u[u]s = N(u) is a norm for C0(U) that is equivalent to the full .Hs(Rn), we refer to [32, Theorem 6.5] and recalling U is bounded since OΠ2 is bounded, one has

    λ1,s=inf{[w]2s:wDs,20(U)andwL2(O)=1},

    where Ds,20(U)L2(O) is the completion of C0(U) under the norm N(u). Furthermore, we can easily see that λ1,s is truly achieved in this bigger space Ds,20(U) since the embedding Ds,20(U)L2(O) is compact. So,

    φ0Ds,20(U):φ0L2(O)=1and[φ0]2=λ1,s>0.

    Indeed, it is possible to choose the function φ0 to be strictly positive a.e. in U.

    In addition, see in [36] or [Proposition 9 in [37]], since φ0 is a constrained minimizer of the functional w[w]2s and using the Lagrange Multiplier method,

    Q(φ0(x)φ0(y))(v(x)v(y))|xy|n+2sdxdy=λ1,sOφ0vdxvDs,20(U),

    and it shows that φ0 is a weak solution to the following eigenvalue problem

    {(Δ)sw=λ1,sww>0inOw=0inUc,Ns(w)=0inΠ2,wν=0inO¯Π2.

    Similarly, we can see, since ζ() defines a norm on C0(U) that is equivalent to the full H1-norm in Rn, and

    λ=inf{ζ(w)2:wX1,2Π1(O)andwL2(O)=1}.

    Furthermore, it is easy to see that λ is truly achieved in the larger space X1,2Π1(U) and we know embedding X1,2Π1(U)L2(O) is compact, that is,

    ψ0X1,2Π1(U):ψ0L2(O)=1andζ(ψ0)2=λ>0.

    Indeed, it is possible to choose the function ψ0>0 a.e. in U.

    Moreover, see in [29], since ψ0 is a constrained minimizer of the functional ζ()2 and using the Lagrange Multiplier method,

    Oψ0vdx+Q(ψ0(x)ψ0(y))(v(x)v(y))|xy|n+2sdxdy=λOψ0vdxvX1,2Π1(U),

    and it shows that ψ0 is a solution to the following eigenvalue problem

    {Tw=λw,w>0inO,w=0inUc,Ns(w)=0inΠ2,wν=0inO¯Π2.

    We are approaching the proof of Theorem 1.4. Several independent results will help us to get this. Initially, we establish a lemma that connects the existence of solutions for (Pλ) with the existence of constrained minimizers for an appropriate functional Rλ. We define

    Rλ(w)=ζ(w)2λw2L2(O),for anywX1,2Π1(U), (4.4)

    constrained to the manifold V(O)=X1,2Π1(U)M(O).

    We identify some useful properties of S(Π2)(λ)=infuV(O)Rλ(w) in the following remark.

    Remark 4.5. By using the definition of S(Π2)(λ) and Hölder's inequality, for every wV(O), we have

    1. S(Π2)(λ)S(Π2),λ>0,

    2. S(Π2)(λ)S(Π2)(λ),0<λ<λ.

    Additionally, keep in mind take note of Remark 4.4) and the definition of λ in (4.3), λ is attained in the space X1,2Π1(U), easy to check

    S(Π2)(λ)00<λλ.

    Using properties of S(Π2)(λ), we prove the next result.

    Lemma 4.6. We consider

    S(Π2)(λ)=infwV(O)Rλ(w),λ>0. (4.5)

    Suppose that S(Π2)(λ)>0 and S(Π2)(λ) is achieved; that is, there exists some function uV(O) such that Rλ(u)=S(Π2)(λ). Then, there exists a solution of (Pλ).

    Proof. By assumption, we know that there exists uV(O)) as a constrained minimizer for Rλ, that is, Rλ(u)=S(Π2)(λ). We can easily see Rλ(|u|)Rλ(u), then we may suppose that u0 a.e. in O. Furthermore, by the Lagrange multiplier method, μR, and we have

    Ouφ+Q(u(x)u(y))(φ(x)φ(y))|xy|n+2s=O(μu21+λu)φdx,φX1,2Π1(U). (4.6)

    Now, take φ=u as a test function in (4.6), we obtain

    μ=μu2L2(Rn)=ζ(u)2λu2L2(Rn)=Rλ(u)=S(Π2)(λ)>0. (4.7)

    As a consequence, setting w=S(Π2)(λ)n24u, we see that w0 a.e. in O and for every φX1,2Π1(U) using (4.6) and (4.7), we have

    1S(Π2)(λ)n24(Owφ+Q(w(x)w(y))(φ(x)φ(y))|xy|n+2s)=Oμ(wS(Π2)(λ)n24)21φdx+OλS(Π2)(λ)n24wφdx,φX1,2Π1(U),

    then we obtain that

    Owφ+Q(w(x)w(y))(φ(x)φ(y))|xy|n+2s=O(w21+λw)φdx,φX1,2Π1(U).

    Hence, we obtain w as a solution to (Pλ). In this manner, we have completed the proof of this lemma.

    On account of Lemma 4.6, the sign of the real number S(Π2)(λ) plays a crucial role to study the solvability of (Pλ). In this perspective, we have already identified by Remark 4.5 that

    S(Π2)(λ)00<λλ.

    We are provided with additional information as a result of the following outcome together with Remark 4.5.

    Lemma 4.7. We have

    S(Π2)(λ)=S(Π2)>0λ(0,λ1,s].

    Proof. Suppose λ(0,λ1,s] and using Remark 4.5, we have S(Π2)(λ)S(Π2). On the other hand, to prove the reverse part of it, using the definition of λ1,s that is defined by (4.2). For any wC0(U)M(O), we have

    Rλ(w)=w2L2(O)+([w]2sλw2L2(O))w2L2(O)+(λ1,sλ)w2L2(O)w2L2(O).

    But we know, C0(U) is dense in X1,2Π1(U), we can see

    S(Π2)(λ)=inf{Rλ(w):wC0(U)M(O)}inf{w2L2(O):wC0(U)M(O)}=S(Π2).

    Thus we get the desired result S(Π2)(λ)=S(Π2).

    Lemma 4.8. The function λS(Π2)(λ) is continuous on (0,).

    Proof. First, we shall show the left continuity. Suppose λ0>0, ϵ>0. So, using the definition of S(Π2)(λ0) there exists v=vϵ,λ0V(O) such that

    S(Π2)(λ0)Rλ0(v)<Sn(λ0)+ϵ2.

    using the monotonicity of S(Π2)() and λ<λ0, deduce that

    0<S(Π2)(λ)S(Π2)(λ0)Rλ(v)S(Π2)(λ0)=(Rλ0(v)S(Π2)(λ0))+(λ0λ)v2L2(O)<ϵ2+(λ0λ)v2L2(O).

    As a consequence, setting δϵ=ϵ/(2v2L2(O)), we conclude that

    0<S(Π2)(λ)S(Π2)(λ0)<ϵ for every λ0δϵ<λλ0.

    Hence, S(Π2)() is left continuous at λ0.

    We find some other properties of S(Π2)(λ) in the following remark.

    Remark 4.9. By combining Remark 4.5 and Lemma 4.7, we conclude the following estimates:

    (i) S(Π2)(λ)=S(Π2),0<λλ1,s,

    (ii) S(Π2)(λ)0,0<λλ,

    (iii) S(Π2)(λ)<0,λ>λ.

    Proof of Theorem 1.4: First, we define

    μ=sup{λ>0:S(Π2)(λ)=S(Π2)for all0<λλ}. (4.8)

    Based on Lemma 4.7, it is evident that λ1,sμ<. Furthermore, from Lemma 4.8 that S(Π2)() is continuous, we can establish S(Π2)(μ)=S(Π2).

    An observation worth noting is that S(Π2)()0 on (0,λ] and S(Π2)()<0 on (λ,), again by the continuity of S(Π2)() we deduce that S(Π2)(λ)=0, consequently recalling that S(Π2)() is nonincreasing on (0,), we have μ[λ1,s,λ). Now, we aim to show that the assertion of Theorem 1.4 satisfies with choice of λ. Specifically, we treat the following three cases separately:

    Case I: (If 0<λλ1,s), by the contrary statement, let us assume that wB that is the soluton to problem (Pλ). Then, setting

    u=w/wL2(O),and B={wL2(O):wL2(O)S(Π2)(n2)/4}.

    Based on the characteristics of w and using the definition of weak solution (1) (take φ=w and p=1), we have

    Rλ(u)=1w2L2(O)Rλ(w)=1w2L2(O)(ζ(u)2λw2L2(O))=1w2L2(O)Ow2dx=w22L2(O)S(Π2)(since uB),

    Consequently, from Lemma 4.7, we obtain

    Rλ(u)=S(Π2)=S(Π2)(λ). (4.9)

    Hence, we conclude that S(Π2)(λ) is achieved at u. Now, recalling (3.2), and since wX1,2Π1(U)D1,20(U), from (4.9), we obtain

    S(Π2)w2L2(O)=Rλ(w)([w]2sλw2L2(O))Rλ(w)=S(Π2),

    which shows that S(Π2) is achieved. using the fact that λλ1,s and wX1,2Π1(U)Ds,20(U).

    Thus, we conclude that vD1,20(U) achieves the optimal Sobolev constant S(Π2). We get a contradiction since O is bounded and from Remark 3.1 that S(Π2) is never achieved in X1,2Π1(U).

    Case II: (If μ<λ<λ), from Lemma 4.8, we know S(Π2)() is continuous and 0S(Π2)(λ)<S(Π2). (Using the definition of μ), i.e., (4.8), we have from this, following the same ideas of [Lemma 1.2, [26]], the best constant S(Π2)(λ) is achieved, i.e., vV(O) such that

    Rλ(v)=S(Π2)(λ).

    Since, we have λ<λ and v0, then we deduce that

    S(Π2)(λ)=v2L2(O)(ζ(v)2v2L2(O)λ)v2L2(O)(λλ)>0.

    Thus, S(Π2)(λ)>0 and it is achieved. Using Lemma 4.7, a solution to (Pλ), does exist.

    Case III: (If λλ) arguing by contradiction, we may assume that there exists a solution to (Pλ) i.e., that 0φ0X1,2Π1(U) such that φ0>0 a.e. in U. We can see that

    Oφ0udx+Q(φ0(x)φ0(y))(u(x)u(y))|xy|n+2sdxdy=λOφ0udxuX1,2Π1(U), (4.10)

    that is, φ0 is an eigenfunction for mixed operator T corresponding to the eigenvalue λ.

    In particular, choosing w=uX1,2+(U), more specifically, using the above-mentioned identity (4.10) and recalling that u is a solution to problem (Pλ), using the definition (2.3) (for p=1),

    we obtain

    λOφ0wdx=Oφ0wdx+Q(φ0(x)φ0(y))(w(x)w(y))|xy|n+2sdxdy=O(w21+λw)φ0dx>λOwφ0dx,

    since by using Theorem 4.2, we have w,φ0>0 a.e. in O, which is contradiction with λλ.

    In this section, we examine the proof of Theorem 1.5. We use the Mountain Pass Theorem to establish the existence of a solution for (Pλ) if 1<p<21 (superlinear case). The key obstacle when utilizing the Mountain Pass Theorem is confirming the fulfillment of a (PS)c condition at a specified level c, much like the scenario observed in the purely local case, see [26]. In particular, it is essential to demonstrate that the Palais-Smale condition holds for every c that is strictly less than the first critical level as defined by the Mountain Pass Theorem. Keeping with the methodology in [26], we examine a slightly improved following energy functional about (2.4), namely

    Jλ(w)=12ζ(w)212O(w+)2dxλp+1O(w+)p+1dxwX1,2Π1(U), (4.11)

    where w+=max{w,0} denotes the positive part of w. Now, it is simple to see that any nonzero critical point of Jλ is a solution to (Pλ). In particular, since we are assuming λ>0, we have Tw0 in O (in a weak sense) since we can see it by using the definition of the weak solution 1 and in the proof of Theorem 4.2. Note that w0 a.e. in Uc, allows us to apply the Weak Maximum Principle with mixed boundary conditions, which follow from [38, Theorem 1.2]. We have w0 a.e. in Rn then we deduce that w+w. Hence w>0 a.e. in U is a solution to problem (Pλ). In the following lemma, our aim is to establish that the functional Jλ satisfies a local (PS) condition at level cR, which is related to the best Sobolev constant S(Π2).

    Lemma 4.10. The functional Jλ satisfies the (PS)c for every c<1n(S(Π2))n/2.

    Proof. It is a well-known result. So, we can easily prove this lemma by following Lemma 4.10 in [25].

    The final step required to show Theorem 1.5 is demonstrating a path with energy below the S(Π2)/n critical obstacle. To do this, we first provide an auxiliary function similar to the one employed in [26].

    Now, we define a non-increasing cut-off function by

    ψ0(t)={1, if 0t12,0, if t1. (4.12)

    Then, we consider a function ψρ(x):RnR by

    ψρ(x)=ψ0(|x|ρ), (4.13)

    for given ρ>0 such that ¯Bρ(0)O. Finally, for all ε>0, let

    Uε(x)=ε(n2)/2(|x|2+ε2)(n2)/2andϱε(x)=ψρ(x)Uε(x)ψρUεL2(O)X1,2Π1(U).

    Lemma 4.11. Suppose n3 and p(1,21). Furthermore, constants αs,n,τp.n are given in (1.7). Then, the following statements hold true.

    (1) If αs,n>τp.n, then there exists ε>0 such that

    supt0Jλ(tϱε)<1n(S(Π2))n/2,λ>0.

    (2) If, instead, αs,nτp.n, then there exist ε>0, λ0>0 such that

    supt0Jλ(tϱε)<1n(S(Π2))n/2,λλ0.

    Proof. We have

    Jλ(tϱε)=t22O|ϱε|2dx+t22Q|ϱε(x)ϱε(y)|2|xy|n+2sdxdyt22λtp+1p+1Oϱε(x)p+1dx; (4.14)

    we then turn to estimate the integrals of (4.14). We use the [Lemma 5.1 and Lemma 5.3 in [39]] and obtain the following integrals:

    O|ϱε|2dx=S(Π2)+O(εn2)as ε0+and,
    Q|ϱε(x)ϱε(y)|2|xy|n+2sdxdy=O(εks,n),whereαs,n=min{2(1s),n2}.

    and also for more ideas, we refer to [Proposition 21 in [27]].

    Next, it is easy to see that Lp+1-norm of ϱε and

    Rnϱε(x)p+1dx=C1Bρ(0)Uε(x)p+1dx=C1ε(p+1)n22ρ0σn1(σ2ε2+1)(p+1)n22dσC1εn(p+1)n22ρ/ε1tn1(t2+1)(p+1)n22dt=C1nεn(p+1)n22((ερ)n+1), (4.15)

    where the constant C1>0 is adjusted line to line. Now, combining the above integrals and using (4.14) we deduce that

    Jλ(tϱε)t22(S(Π2)+O(εn2)+O(εαs,n))t22Cλtp+1p+1εn(p+1)n22=t22(S(Π2)+O(εαs,n))t22Cλtp+1p+1ετp.nt22(S(Π2)+Cεαs,n)t22Cλtp+1p+1ετp.n, (4.16)

    where ε>0 and C>0, suitable constants. Let us set

    fε,λ(t)=t22(S(Π2)+Cεαs,n)t22Cλtp+1p+1ετp.n, (4.17)

    such that fε,λ(0)=0 and fε,λ(t) as t. So, there exists tε,λ0 such that

    supt0fε,λ(t)=fε,λ(tε,λ).

    We can see that for tε,λ=0, we have fε,λ(t)0 for all t0, and the lemma is trivially established as a consequence of (4.16). On the other hand, if tε,λ>0, we obtain

    0=fε,λ(tε,λ)=tε,λ(S(Π2)+Cεαs,n)t21ε,λCλtpε,λετp.n. (4.18)

    from which we may easily conclude that

    tε,λ<(S(Π2)+Cεαs,n)1/(22).

    We now distinguish two cases, according to the assumptions.

    Case (1): (If αs,n>τp.n), for ε>0 small enough, using equation (4.18), we have

    tε,λμλ>0,

    and using the fact that the following map

    tt22(S(Π2)+Cεαs,n)t22

    is increasing in the closed interval [0,S(Π2)+Cεαs,n)1/(22)] containing tε,λ, we have

    supt0fε,λ(t)=fε,λ(tε,λ)<(S(Π2)+Cεαs,n)1+2/(22)2(S(Π2)+Cεαs,n)2/(22)2Cετp.n=1n(S(Π2)+Cεαs,n)n/2Cετp.n<1n(S(Π2))n/2,for ε>0 sufficiently small.

    Case (2): (for αs,nτp.n), let us start by claiming that

    limλtε,λ=0. (4.19)

    By contrary, we assume that e=lim supλtε,λ>0, then choosing a sequence {λk}k1 diverging to , as k and from (4.18) we obtain

    S(Π2)+Cεαs,n=t22ε,λk+Cλktp1ε,λkετp.n

    which is a contradiction. Hence, we have limλtε,λ=0.

    So, using (4.16) and (4.19), we have

    0supt0Jλ(tϱε)fε,λ(tε,λ)t2ε,λ2(S(Π2)+Cεαs,n)t2ε,λ20as λ,

    which implies the existence of λ0=λ0(p,s,n,ε)>0 such that

    supt0Jλ(tϱε)<1n(S(Π2))2/nfor all λλ0,

    for fix ε>0 is small enough. Thus, our work is done.

    In the next lemma, we verify the functional Jλ satisfies Mountain Pass geometry. We follow the same arguments of [Proposition 3.1 in [31]].

    Lemma 4.12. There exist positive constants a,c1, c2>0 such that

    (1) For any wX1,2Π1(U) with ζ(w)=a, it holds that Jλ(w)c2,

    (2) There exists a tε>0 large enough so that ζ(ϱεtε)>c1 and Jλ(tεϱε)<c2.

    Proof. By the Sobolev embedding and Remark (3.1), we have

    Jλ(w)12ζ(w)2C2ζ(w)2λ(S(Π2))2p+1ζ(w)p+1,

    for any wX1,2Π1(U). Since 1<p<21, we can easily obtain the part (1) assuming ζ(w) is small enough. On the other hand, we have

    limtJλ(tvε)=,

    from which we easily complete our proof.

    Proof of Theorem 1.5. Hence, by using the Mountain Pass theorem and thanks to Lemmas 4.12, 4.10, and 4.11, we complete the proof of Theorem 1.5.

    In this paper, firstly we identify the optimal constant in the mixed Sobolev inequality under mixed boundary conditions. We prove optimal constant Sn,s(O,Π1)=S(Π2), which is our Theorem 1.1, and Theorem (1.2) says that constant S(Π2) is never achieved in the space X1,2Π1(U), but if U=Rn then it is achieved in the limiting sense. In addition, the aim of this manuscript is to prove the existence and non-existence of a positive solution for (Pλ) using the variational methods. Moreover, we note that the case p=1 in Theorem 1.4 is different compared to the case 1<p<21 in Theorem 1.5 in a structural aspect. However, Theorem 1.5 ensures the existence of solutions for all λ large enough, while Theorem 1.4 only recognizes solutions for λ in a certain interval, demonstrating that no solutions exist when λ is too large. Therefore, the case p=1 cannot be considered as the limit case of the setting 1<p<21.

    Lastly, we will come back to the study of (Pλ) for sublinear perturbations (0<p<1) and with some singular type nonlinearity with critical exponent under the mixed boundary conditions in future work.

    The author is responsible for all aspects of the research and manuscript.

    The authors express their sincerely gratitude to the anonymous referees for their useful comments and suggestions. The author received assistance from the UGC Grant with reference no. 191620169606 funded by the Government of India.

    The authors declare there is no conflict of interest.

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



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