Abstract
In this paper, we study the Dirichlet problem of elliptic systems
where \(\varrho \ge 0\), \(\Omega \) is an open bounded \(C^2\) domain in \(\mathbb {R}^N\) with \(N\ge 2\), and \(\mathbf {u}\), \(\mathbf {g}(\mathbf {u})\), \(\varvec{\mu }\) are nonnegative vector-valued functions. We obtain the existence of weak positive solutions for the systems. In the special case \(\mathbf {g}(\mathbf {u})=|\mathbf {u}|^{p-1}\mathbf {u}\) with \(p>1\), we shall give a better description about the positive solutions including the priori estimate, regularity, existence and nonexistence.
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1 Introduction
Let \(\Omega \) be an open bounded \(C^2\) domain in \({\mathbb {R}}^N\), \(N\ge 2\). The Dirichlet problem with measure data
had been studied extensively in many literatures, where \(p>1\), \(\varrho \ge 0\), \(\Delta :=\sum _{i=1}^N\frac{\partial ^2}{\partial x^2_i}\) is the Laplace operator, and u is a nonnegative function defined on \(\Omega \) and \(\mu \) is a Radon measure defined on \(\partial \Omega \). The existence of the weak positive solution of problem (1.1) had been investigated by a lot of people. One of the first attempt in this direction was obtained by Bidaut-Véron-Vivier [7], showing the existence of a critical exponent \(p^*:=\frac{N+1}{N-1}\) for the solvability of this equation. More precisely, in the subcritical case \(1<p<p^*\), there exists a threshold value \(\varrho ^*\) such that the problem admits a solution if and only if \(\varrho \in [0,\varrho ^*]\) (see [7, Theorem 1.3]). They also proved that in the case \(p\ge p^*\), the problem (1.1) does not admit any solution with \(\varrho >0\), \(\mu =\delta _z\) being a Dirac measure at z, \(z\in \partial \Omega \). Then Bidaut-Véron-Yarur [8] considered again the problem with both interior and boundary measure data
where \(\nu \) is a nonegative Radon measure in \(\Omega \). They gave a complete description of the solutions in the subcritical case, and sufficient conditions for the existence in the supercritical case by establishing sharp estimates of Green kernel and Poisson kernel. For a more general case,
if g satisfies the so-called subcriticality condition, an existence result was recently obtained by Chen-Felmer-Véron [12] using the Schauder fixed point theorem, essentially based on estimates related to weighted Marcinkiewicz spaces. For the solvability of this problem, Bidaut-Véron-Hoang-Nguyen-Véron [4] provided new criteria, expressed in terms of appropriate capacities, where \(\Omega \) is a bounded smooth domain or a half space. On the other hand, the positive solutions for the corresponding boundary value problem with the other sign also have been studied by Marcus-Véron in [25, 26].
Another topic about the priori estimate near the boundary for the solution of problem (1.1) also had been established. Bidaut-Véron-Vivier proved in [7] that if \(p>1\), \(\mu \) is nonnegative, and u is a nonnegative solution of (1.1), then
where, for any \(x\in \Omega ,\)
Moreover, for \(1<p<\frac{N+1}{N-1}\),
where \({\mathbb {P}}\) is the Poisson operator (see Sect. 2 for its definition). Furthermore, suppose that \(0\in \partial \Omega \), Bidaut-Véron-Ponce-Véron [5] proved that, for \(1<p<\frac{N+2}{N-2}\) and \(\mu =\delta _0\), there exists a positive constant C, independent of u, such that
The theory of the singularity analysis also developed well. The asymptotic behavior of the positive singular solutions in \(C^{2}(B^+_1)\cap C(\overline{B^+_1} \backslash \{0\})\) for
has been established by many works, where \(B^+_1:=B_1\cap {\mathbb {R}}^N_+\) and \(\partial ' B^+_1:=\overline{B^+_1}\cap \partial {\mathbb {R}}^N_+\). See Bidaut-Véron-Vivier [7] for \(1<p<\frac{N+1}{N-1}\), Bidaut-Véron-Ponce-Véron [5, 6] for \(\frac{N+1}{N-1}\le p<\frac{N+2}{N-2}\), and Xiong [28] for \(p=\frac{N+2}{N-2}\). On the other hand, a series of paper considered the internal isolated singularity; see [2, 10, 20, 22, 24] for the details.
Recently, the systems
also have been attracted a lot of attention, where \({\mathbf {u}}(x)=(u_1(x),\ldots , u_m(x))\), \(m\ge 1\), \({\mathbf {u}}:\ \Omega \rightarrow {\mathbb {R}}_{++}^m\), \({\mathbb {R}}_{++}^m :=\{{\mathbf {y}}=(y_1,y_2,\ldots ,y_m)\in {\mathbb {R}}^m:\ y_i\ge 0,\,i=1,2,\ldots ,m\}\). They naturally appear in the Hartree-Fock theory for Bose-Einstein double condensates, the fiber-optic theory, the langmuir waves theory for plasma physics, and in studying the behavior of deep water waves and freak waves in the ocean. A general reference in book focus on such systems and their role in physics is by Ablowitz-Prinari-Trubatch [1]. For the critical exponent \(p=\frac{N+2}{N-2}\), Druet-Hebey-Vetóis [17] proved the Liouville theorem in \({\mathbb {R}}^{N}\) and Caju-do Ó-Silva Santos [11] obtained the qualitative properties of positive singular solutions for the nonlinear elliptic systems in \({\mathbb {R}}^N\backslash \{0\}\). For the subcritical exponent \(1<p< \frac{N+2}{N-2}\), Ghergu-Kim-Shahgholian [19] recently established that \({\mathbf {u}}=0\) is the only nonnegative \(C^2\) solution in \({\mathbb {R}}^{N}\). Furthermore, they also classified the solutions in the punctured space \({\mathbb {R}}^N\backslash \{0\}\), and derived the priori estimate and the asymptotic radial symmetry around the singularity. The behavior of the singular positive solutions for the semilinear elliptic systems with Dirichlet boundary value condition was analyzed in [23].
The aforementioned results are motivations of this paper, the goal of which is twofold: (i) to study the existence of positive weak solutions for
with boundary measures, where \(\varrho \ge 0\), \(\Omega \) is an open bounded \(C^2\) domain in \({\mathbb {R}}^N\) with \(N\ge 2\), \({\mathbf {u}}:=(u_1,u_2,\ldots , u_m)\), \({\mathbf {g}}({\mathbf {u}})=(g_1({\mathbf {u}}),g_2({\mathbf {u}}),\ldots , g_m({\mathbf {u}}))\), \(\varvec{\mu }=(\mu _1, \mu _2,\ldots , \mu _m)\), \(m\ge 1\), and \(u_{i}:\Omega \rightarrow {\mathbb {R}}_{+}\), \(g_{i}:{\mathbb {R}}_{++}^m\rightarrow {\mathbb {R}}_{+}\), \(\mu _i\) is a positive Radon measure on \(\partial \Omega \) with \(\mu _i(\partial \Omega )<\infty \) for \(i=1,2,\ldots ,m\); (ii) to study the systems
including the interior regularity of positive solutions, and then establish the priori estimate, the boundary regularity of positive solutions as well as the existence of the minimal weak positive solutions for the systems with boundary measure data.
Notice that all the solutions are understood in the usual weak sense, and we also include a definition here for completeness. Suppose \({\mathbf {a}}:=(a_1,a_2,\ldots ,a_m)\in {\mathbb {R}}^m\) is a vector, then we say \({\mathbf {a}}\) has some properties means that every component of \({\mathbf {a}}\) has the same properties. For example, \({\mathbf {a}}\ge 0\) means that \(a_i\ge 0\), \(i=1,2,\ldots ,m\) and \({\mathbf {u}}\in (L^1(\Omega ))^m\) means that every component of \({\mathbf {u}}\) belongs to \(L^1(\Omega )\) in this article.
Definition 1.1
\({\mathbf {u}}\) is a weak solution of (1.2) in the sense that \({\mathbf {u}}\in (L^1(\Omega ))^m\), \({\mathbf {g}}({\mathbf {u}})\in (L^1(\Omega ,\delta dx))^m\), and
where \({\mathbf {n}}\) is the unit outward normal vector of \(\partial \Omega \) at point x, and \(X_0^{1.1}({\overline{\Omega }})\) is the space of function \(C^1\) functions vanishing on \(\partial \Omega \) with Lipschitz continuous gradient.
Our first main result is devoted to studying the existence of weak solution for problem (1.2).
Theorem 1.2
Suppose that, \(1<p<p^*:=\frac{N+1}{N-1}\) and \({\mathbf {g}}\) is nonnegative, continuous and
for some a, \(\epsilon >0\), then there exist positive constants \(\varrho _0\) and \(\epsilon _0\), depending on a and p, such that, for \(\varrho \in (0,\varrho _0)\) and \(\epsilon \in (0,\epsilon _0)\), problem (1.2) admits a positive weak solution \({\mathbf {u}}\) which satisfies
To prove Theorem 1.2, we translate (1.2) to an equivalent problem with zero boundary condition satisfied by \({\mathbf {v}}={\mathbf {u}}- \varrho {\mathbb {P}}[\varvec{\mu }]\). By the spirit of [12,13,14,15], owing to the estimates of Green kernel and Possion kernel, together with the Schauder fixed point theorem, we can construct a sequence of approximating solutions \(\{\mathbf {v_n}\}\) for the new problem provided that \(\varrho {\mathbb {P}}[\varvec{\mu }]\) is small (see Lemma 2.4). Putting \(\mathbf {u_n}:=\mathbf {v_n}+\varrho {\mathbb {P}}[\varvec{\mu }]\) and using the Vitali convergence theorem, we can finally show that the sequence \(\{\mathbf {u_n}\}\) converges to a weak solution of (1.2). This result is consistent with the scalar case [12].
Next, we consider the systems
We first give the following interior regularity result for the above problem.
Theorem 1.3
Let \(1<p< \frac{N}{N-1}\). If \({\mathbf {u}}\) is a positive weak solution of (1.4), then \({\mathbf {u}}\in (C^{\infty }(\Omega ))^m\).
Notice that the precise estimates of the Green operator \({\mathbb {G}}[\cdot ]\) in weighted Marcinkiewicz spaces will be used in our proof. Then the following we will learn this systems
with boundary measure data further. In fact, suppose that \(0\in \partial \Omega \), it is worth noting that in [23], the authors have provided one of the priori estimates about the solution of (1.5) for \(1<p<\frac{N+2}{N-2}\), \(\mu =(\delta _0,\delta _0,\ldots ,\delta _0)\in {\mathbb {R}}^m\). Precisely speaking, there exists a positive constant C, independent of the solution \({\mathbf {u}}\), such that
Then we shall study the priori estimates and boundary regularity for the solution of (1.5).
Theorem 1.4
For \(p>1\) and any positive Radon measure \(\varvec{\mu }\) with \(|\varvec{\mu }|(\partial \Omega )<\infty \), if \({\mathbf {u}}\) is a positive weak solution of systems (1.5), then there exists a positive constant C, depending on N, p, \(\Omega \), m and \(\varrho \), such that
In particular, for \(1<p<p^*\), there exists a positive constant \({\widetilde{C}}\) depending on, N, p, \(\Omega \), \(\Vert \varvec{\mu }\Vert _{{\mathfrak {M}}_+(\partial \Omega )}\), \(\varrho \) and m, such that
Moreover, if \(\varvec{\mu }=0\), then \({\mathbf {u}}\in (C^{\infty }(\Omega )\cap C^{1,\alpha }({\overline{\Omega }}))^m\) for any \(\alpha \in (0,1)\).
The above results can be seen as a generalization of [7]. In the proof of this theorem, the first eigenvalue and corresponding positive eigenfunction \((\lambda _1,\phi _1)\) of \(-\Delta \) with Dirichlet conditions on \(\partial \Omega \) play an important role, and the fact that there exists a positive constant C such that \(C^{-1}\delta (x)\le \phi _1(x)\le C\delta (x)\) for all \(x\in \Omega \) (see [16]) will be used. As a consequence of Theorem 1.4, we have
Corollary 1.5
Suppose that \(0\in \partial \Omega \) and \(1<p<p^*\). If \({\mathbf {u}}\) is a positive weak solution of
then either \({\mathbf {u}}\) can be continuously extended at 0, or there exists a positive constant C, depending on \({\mathbf {u}}\), such that
The last part of this paper is about the existence of the minimal weak positive solutions for (1.5). We say \(\underline{{\mathbf {u}}}\) is the minimal weak positive solution of (1.5) in the sense that if \({\mathbf {u}}\) is a weak positive solution of (1.5), then \(\underline{{\mathbf {u}}}\le {\mathbf {u}}\) in \(\Omega \).
Theorem 1.6
Assume \(|\varvec{\mu }|(\partial \Omega )=1\).
Case 1) \(1<p<p^*\). There exists a threshold value \(\varrho ^*>0\) such that the problem (1.5) admits a minimal positive weak solution \(\underline{{\mathbf {u}}}_\varrho \) for \(\varrho \in (0,\varrho ^*]\). Moreover, \(\{\underline{{\mathbf {u}}}_\varrho \}\) is an increasing sequence which converges to the minimal solution \(\underline{{\mathbf {u}}}_{\varrho ^*}\) in \((L^1(\Omega ))^m\) and in \((L^p(\Omega , \delta dx))^m\) as \(\varrho \rightarrow \varrho ^*\). If \(\varrho >\varrho ^*\), then the problem does not admit any positive weak solution.
Case 2) \(p\ge p^*\). For any \(\varrho >0\), if there exists \(i\in \{1,2,\ldots ,m\}\) such that \(\mu _{i}=\delta _{z_i}\), where \(\delta _{z_i}\) is the Dirac measure concentrated at \(z_i\), \(z_i\in \partial \Omega \), then the problem (1.5) admits no positive weak solution.
It is worth noting that any solution of (1.5) is naturally bounded from below by the Poisson operator \(\varrho {\mathbb {P}}[\varvec{\mu }]\) which also is a subsolution. Hence, in the proof of the existence of the minimal weak solutions, we only need to construct a supersolution. The result is an extension of Bidaut-Véron-Vivier [7].
The rest of the paper is organized as follows. Using the estimates about the Green and Poisson operators, we shall prove Theorem 1.2 in Sect. 2. In Sect. 3, we discuss the priori estimates, as well as the regularity properties of the weak solutions for a typical case. Section 4 deals with the existence of the minimal positive solution.
2 Proof of Theorem 1.2
In this section, we establish the existence of the positive weak solution for systems (1.2), that is, we prove Theorem 1.2. We begin with few notions and properties. For \(\beta \in [0,1]\), \({\mathfrak {M}}(\Omega ,\delta ^\beta dx)\) denotes the space of Radon measures \(\mu \) in \(\Omega \) satisfying
where, for any \(x\in \Omega ,\) \(\delta (x):=\mathrm{{dist}}(x,\partial \Omega ).\) For simplicity, we denote \({\mathfrak {M}}(\Omega ):={\mathfrak {M}}(\Omega ,\delta ^0 dx)\). The associate positive cones are denoted by \({\mathfrak {M}}_+(\Omega ,\delta ^\beta dx)\) and \({\mathfrak {M}}_+(\Omega )\), respectively. Recall that, for almost every \(y\in \Omega \) and \(z\in \partial \Omega \), the Green kernel \(G(\cdot ,y)\) and Poisson kernel \(P(\cdot ,z)\) are the integral solutions of
where \(\delta _y\) and \(\delta _z\) are Dirac measures at points \(y\in \Omega \) and \(z\in \partial \Omega ,\) respectively. The Green operator \({\mathbb {G}}[\cdot ]\) and the Poisson operator \({\mathbb {P}}[\cdot ]\) are, respectively, defined by setting
Then \(\Phi ={\mathbb {G}}[\nu ]\) and \(\Psi ={\mathbb {P}}[\mu ]\) are, respectively, the solution of problems
Moreover, for any \(\nu _1,\) \(\nu _2\in {\mathfrak {M}}(\Omega ,\delta dx)\) with \(\nu _1\le \nu _2\), by the weak maximum principle (see, for instance, [18, p. 344]), we have
see [7] for the details.
We recall the following property on Green operator, which can be found in [7, Remark 2.5].
Lemma 2.1
Assume \(N\ge 2\). The Green operator \({\mathbb {G}}\) is compact from \(L^1(\Omega ,\delta ^{\alpha }dx)\) to \(L^q(\Omega ,\delta ^{\beta }dx)\) for any \(\alpha \in (0,1]\), \(\beta \in (-N/(N+\alpha -1),N\alpha /(N-2))\) or \(\alpha =\beta =0\), and \(q\in [1,(N+\beta )/(N+\alpha -2))\) and \(q>-\beta .\)
Recall that, for any \(k>0\) and positive Borel measure \(\nu \) on \(\Omega \), the Marcinkiewicz space of exponent k or weak \(L^k\) space \(M^{k}(\Omega , d\nu )\) is defined to be the set of all \(u\in L_{\mathrm{{loc}}}^1(\Omega , d\nu )\) satisfying
The following lemma shows the boundedness of the Poisson operator. For clarity, we provide the details.
Lemma 2.2
Let \(N\ge 2\), \(\gamma \ge -2\), and \(\mu \in {\mathfrak {M}}_+(\partial \Omega )\). There exists a positive constant \(C(N,\Omega ,\gamma )\) such that
Moreover, if \(\gamma \ge 0\) and \(1\le q<\frac{N+\gamma }{N-1},\) then there exists a positive constant \(C(q,N,\Omega ,\gamma )\) such that
Proof
(2.3) was proved in [7, Theorem 2.5]. It is well known that, for any \(1\le p<k<\infty \) and any \(u\in M^k(\Omega ,\delta ^\gamma dx)\),
see, for instance, [3, Lemma A.2]. Since \(\Omega \) is bounded, it follows that \(\int _{\Omega }\delta ^\gamma dx<\infty .\) A combination of this, (2.4), and (2.3) yields the assertion. \(\square \)
Let \(\mathbf{g}:=(g_1, g_2,\ldots ,g_m)\) be a nonnegative and continuous vector-valued function satisfying (1.3). Consider a sequence \(\{\mathbf {g_n}\}_{n\in {\mathbb {N}}}\) of \(C^1\) nonnegative functions defined on \({\mathbb {R}}_{++}^m\) such that \(\mathbf {g_n}(0)={\mathbf {g}}(0)\) for every \(n\in {\mathbb {N}}\) and, for every \(i\in \{1,2,\ldots ,m\}\),
where \(\mathbf {g_n}:=(g_{n,1},g_{n,2},\ldots ,g_{n,m})\). Let \(\varrho >0\) and \(\varvec{\mu }\in ({\mathfrak {M}}_+(\partial \Omega ))^m.\) Define the operators \(\{\mathbf {T_n}\}_{n\in {\mathbb {N}}}\) by, for every \(n\in {\mathbb {N}},\)
where \(\mathbf {T_n}({\mathbf {v}}): =\left( T_{n,1}({\mathbf {v}}),T_{n,2}({\mathbf {v}}),\ldots ,T_{n,m}({\mathbf {v}})\right) \) and \(T_{n,i}({\mathbf {v}}):={\mathbb {G}}\left[ g_{n,i}({\mathbf {v}}+\varrho {\mathbb {P}}[\varvec{\mu }])\right] \) for every i.
We first establish the following technical lemma.
Lemma 2.3
Let \(\varrho >0,\) \(\varvec{\mu }\in ({\mathfrak {M}}_+(\partial \Omega ))^m,\) \(1<p<p^{*}:=\frac{N+1}{N-1}\), and \(q\in (p,p^*)\). Assume that \({\mathbf {g}}\) is a nonnegative function satisfying (1.3) for some \(a,\ \epsilon >0\). Let \(\{\mathbf {T_n}\}_{n\in {\mathbb {N}}}\) be as above. There exists a positive constant \({\widehat{\Lambda }}\) such that, for every \({\mathbf {v}}\in (L^{q}(\Omega ,\delta dx))^m,\)
Proof
Observe that, for every \(i\in \{1,2,\ldots ,m\}\),
It follows that
Using this inequality and Lemma 2.1 with \(\alpha =\beta =1\), we have
which, together with (2.5) and (1.3), further implies that
where \(C_1=C_1(q,N,\Omega )\), \(a>0\), \(\epsilon >0\) and \(\varrho >0\). Since \(\Omega \) is bounded, it follows that \(\int _{\Omega }\delta dx<\infty .\) For any \(\Lambda \in (0,\infty )\), if \(\Vert {\mathbf {v}}\Vert _{ (L^{q}(\Omega ,\delta dx))^m}\le \Lambda \), then by the Hölder inequality, we have
Hence, using Lemma 2.2 with \(\gamma =1\) and (2.6), we then obtain
Since \(p>1\), there exist positive constants \(\varrho _0\) and \(\epsilon _0\) such that, for any \(\varrho \in (0,\varrho _0)\) and \(\epsilon \in (0,\epsilon _0)\), the algebraic equation
admits a positive root \({\widehat{\Lambda }}\). This finishes the proof of Lemma 2.3. \(\square \)
We remark that the key point in the proof of Theorem 1.2 is to derive the uniform bound in \((L^{p}(\Omega ,\delta dx))^m\) for the solutions of systems
where \(\{\mathbf {g_n}\}\) is defined by (2.5). By [7, Corollary 2.2], we know that (2.7) admits a positive weak solution \(\mathbf {v_n}\) if and only if \(\mathbf {v_n}\) can be written in the form
Hence, we shall prove the following lemma first by the Schauder fixed point theorem.
Lemma 2.4
Assume that \({\mathbf {g}}\) is a nonnegative function satisfying (1.3) for some \(a,\,\epsilon >0\), and \(p\in (1,p^{*})\). Let \(\{\mathbf {g_n}\}\) be a sequence of \(C^1\) nonnegative functions defined on \({\mathbb {R}}_{++}^m\) satisfying (2.5). Then there exist \(\varrho _0\), \(\epsilon _0>0\) such that, for any \(\varrho \in (0,\varrho _0)\) and \(\epsilon \in (0,\epsilon _0)\), problem (2.7) admits a positive weak solution \(\mathbf {v_n}\) which satisfies
for some positive constant \({\overline{\lambda }}\) independent of n.
Proof
Let \( {\widehat{\Lambda }}\) be the positive constant as in Lemma 2.3, \(q\in (p,p^{*})\), and let
Let \(\{\mathbf {T_n}\}_{n\in {\mathbb {N}}}\) be as in Lemma 2.3. Ensure to use the Schauder fixed point theorem, we shall first prove that \({\mathcal {O}}\) is a convex, closed subset of \((L^1(\Omega ))^m\) and \(\mathbf {T_n}\) is well defined in \({\mathcal {O}}\). After that we show that, for each n, \(\mathbf {T_n}\) is a continuous and compact map.
Clearly, from the Minkowski inequality, it follows that \({\mathcal {O}}\) is a convex set. Next, we show that \({\mathcal {O}}\) is a closed subset of \((L^1(\Omega ))^m\). Indeed, let \(\{\mathbf {v_j}\}\subset {\mathcal {O}}\) be a sequence converging to \({\mathbf {v}}\) in \((L^1(\Omega ))^m\). Obviously, \({\mathbf {v}}\ge 0\). We can extract a subsequence, still denotes by \(\{\mathbf {v_j}\}\), such that \(\mathbf {v_j}\rightarrow {\mathbf {v}}\) a.e in \(\Omega \). By the Fatou Lemma, we then obtain
Consequently, \({\mathbf {v}}\in {\mathcal {O}}\) and therefore \({\mathcal {O}}\) is a closed subset of \((L^1(\Omega ))^m\). By (2.5), we have, for every \(n\in {\mathbb {N}},\) \(\mathbf {g_n}\) is bounded and hence \(\mathbf {g_n}\left( {\mathbf {v}}+\varrho {\mathbb {P}}\left[ \varvec{\mu }\right] \right) \in (L^1(\Omega ))^m\). Combining this and Lemma 2.1, we then deduce that \(\mathbf {T_n}(\mathbf{v})\in (L^1(\Omega ))^m\). By this and Lemma 2.3, we conclude that \(\mathbf {T_n}\) is well defined on \({\mathcal {O}}\) and \(\mathbf {T_n}({\mathcal {O}})\subset {\mathcal {O}}\).
The following we shall prove that \(\mathbf {T_n}\) is a continuous map on \({\mathcal {O}}\). Suppose that \(\{\mathbf {v_j}\}\subset {\mathcal {O}}\) and
For each fixed n, we have \(\mathbf {g_n}(\mathbf {v_j}+\varrho {\mathbb {P}}[\varvec{\mu }])\rightarrow \mathbf {g_n}({\mathbf {v}}+\varrho {\mathbb {P}}[\varvec{\mu }])\) in \((L^1(\Omega ))^m\) as \(j\rightarrow \infty \) by the fact that \(\mathbf {g_n}\in (C^1)^m\). Using Lemma 2.1 that \({\mathbb {G}}: L^1(\Omega )\rightarrow L^1(\Omega )\) is compact, we have
that is,
Hence, we prove that \(\mathbf {T_n}\) is continuous.
Last, we shall show that \(\mathbf {T_n}\) is a compact map. Let \(\{\mathbf {v_j}\}\subset {\mathcal {O}}\) be a bounded sequence in \((L^1(\Omega ))^m\). For each fixed n, from \(|\mathbf {g_n}|\le |{\mathbf {g}}|\), and by the same argument as in (2.6), we deduce that
where \({\widehat{\Lambda }}\) is the constant in the definition of \({\mathcal {O}}.\) Thus, \(\mathbf {g_n}(\mathbf {v_j}+\varrho {\mathbb {P}}[\varvec{\mu }])\) is uniformly bounded in \((L^1(\Omega ,\delta dx))^m\). Since the map \({\mathbb {G}}: L^1(\Omega , \delta dx)\rightarrow L^1(\Omega )\) is compact (see Lemma 2.1), it then follows that there exists a subsequence, still denoted by \(\{\mathbf {T_n}(\mathbf {v_j})\}\), and a function \({\mathbf {v}}\in {\mathcal {O}}\) such that
Therefore, \(\mathbf {T_n}\) is a compact map.
Using the Schauder fixed point theorem, there is a vector-valued function \(\mathbf {v_n}\in {\mathcal {O}}\) such that \(\mathbf {T_n}(\mathbf {v_n})=\mathbf {v_n}\). Hence, \(\mathbf {v_n}\) satisfies (2.8). Moreover, \(\Vert \mathbf {v_n}\Vert _{(L^{q}(\Omega ,\delta dx))^m}\le {\widehat{\Lambda }},\) where \({\widehat{\Lambda }}\) is a positive constant independent of n. By this and [7, Corollary 2.2], we conclude that \(\mathbf {v_n}\) is a weak solution of (2.7), that is,
Furthermore, since \(p<q\) and \(\Vert \mathbf {v_n}\Vert _{(L^{q}(\Omega ,\delta dx))^m}\le {\widehat{\Lambda }},\) it follows that \(\Vert \mathbf {v_n}\Vert _{(L^{p}(\Omega ,\delta dx))^m}\le {\overline{\lambda }}\), where \({\overline{\lambda }}=C(p,q,\Omega ){\widehat{\Lambda }}\). This finishes the proof of Lemma 2.4. \(\square \)
Now we are ready to prove Theorem 1.2.
Proof of Theorem 1.2
For each n, set \(\mathbf {u_n}:=\mathbf {v_n}+\varrho {\mathbb {P}}[\varvec{\mu }]\), where \(\mathbf {v_n}\) is the positive weak solution of (2.7) constructed in Lemma 2.4. Integrating by parts, we have
Combining this and (2.9), we then obtain
Since \(\mathbf {v_n}\in {\mathcal {O}}\), it follows that \(\Vert \mathbf {v_n}\Vert _{(L^{q}(\Omega ,\delta dx))^m}\le {\widehat{\Lambda }},\) which, together with the Hölder inequality, implies that \(|\mathbf {v_n}|^p\) is uniformly bounded in \(L^1(\Omega , \delta dx)\). From \(|\mathbf {g_n}|\le |{\mathbf {g}}|\), and by the same argument as that used in (2.6), we have \(\{\mathbf {g_n}(\mathbf {v_n}+\varrho {\mathbb {P}}[\varvec{\mu }])\}_{n\in {\mathbb {N}}}\) is uniformly bounded in \((L^1(\Omega , \delta dx))^m\). By the fact that \({\mathbb {G}}: L^1(\Omega , \delta dx)\rightarrow L^1(\Omega )\) is compact, hence, up to a subsequence, \(\{{\mathbb {G}}[\mathbf {g_n}(\mathbf {v_n}+\varrho {\mathbb {P}}[\varvec{\mu }])]\}_{n\in {\mathbb {N}}}\) is convergent in \((L^1(\Omega ))^m\). Since, for every \(n\in {\mathbb {N}},\) \(\mathbf {v_n}\) is a positive weak solution of (2.7), it then follows that \(\{\mathbf {v_n}\}_{n\in {\mathbb {N}}}\) is convergent in \((L^1(\Omega ))^m\). Therefore, there exists a positive function \({\mathbf {v}}\in (L^1(\Omega ))^m\) such that \(\mathbf {v_n}+\varrho {\mathbb {P}}[\varvec{\mu }]\rightarrow {\mathbf {v}}+\varrho {\mathbb {P}}[\varvec{\mu }]\) in \((L^1(\Omega ))^m\) and a.e. in \(\Omega \) as \(n\rightarrow \infty \). Let
We have \(\mathbf {u_n}\rightarrow {\mathbf {u}}\) in \((L^1(\Omega ))^m\) and a.e. in \(\Omega \) as \(n\rightarrow \infty \). Consequently, \(\mathbf {g_n}(\mathbf {u_n})\rightarrow {\mathbf {g}}({\mathbf {u}})\) a.e. in \(\Omega \) as \(n\rightarrow \infty \).
We finally prove that \(\mathbf {g_n}(\mathbf {u_n})\rightarrow {\mathbf {g}}({\mathbf {u}})\) in \((L_{\mathrm{{loc}}}^1(\Omega , \delta dx))^m\) as \(n\rightarrow \infty \). In fact, for any Borel set \(E\subset \Omega \), using condition (1.3) we have
Since \(|\mathbf {v_n}|^p\) is uniformly bounded in \(L^1(\Omega , \delta dx)\), it follows from Lemma 2.2 that \(|\mathbf {u_n}|^p\) is uniformly bounded in \(L^1(\Omega , \delta dx)\). Hence, we obtain \(\{\mathbf {g_n}(\mathbf {u_n})\}\) is uniformly integrable in \((L^1(\Omega , \delta dx))^m\). On another hand, since \(\mathbf {g_n}(\mathbf {u_n})\rightarrow {\mathbf {g}}({\mathbf {u}})\) a.e. in \(\Omega \) as \(n\rightarrow \infty \), using the Vitali convergence theorem, we conclude that \(\mathbf {g_n}(\mathbf {u_n})\rightarrow {\mathbf {g}}({\mathbf {u}})\) in \((L_{\mathrm{{loc}}}^1(\Omega , \delta dx))^m\) as \(n\rightarrow \infty \). Pass the limit of (2.10) as \(n\rightarrow \infty \) to derive that
A combination of this and Definition 1.1 yields that \({\mathbf {u}}\) is a weak solution of problem (1.2). Since \(\mathbf {\nu }\) is positive, it follows that \({\mathbf {u}}\) is positive and \({\mathbf {u}}\ge \varrho {\mathbb {P}}[\varvec{\mu }]\) in \(\Omega .\) This finishes the proof of Theorem 1.2. \(\square \)
3 Regularity and priori estimates
In this section, we prove Theorems 1.3 and 1.4 , and Corollary 1.5.
3.1 Interior regularity
Now we shall give an interior regularity result for the solution of problem (1.4). We begin with the following lemma, which can be found in [27, Corollary 2.8].
Lemma 3.1
Let \(u\in L^1_{\mathrm{loc}}(\Omega )\) and \(f\in L^1_{\mathrm{loc}}(\Omega )\) be such that
Then, for any open subsets G and \(G^{\prime }\) satisfying \(G\subset {\overline{G}}\subset G'\subset \overline{G'}\subset \Omega \) and \(\overline{G'}\) compact, and \(1\le k<\frac{N}{N-1}\), there exists a positive constant \(C(G,G',k)\) such that
We now prove Theorem 1.3.
Proof of Theorem 1.3
Let \({\mathbf {f}}:=\left| {\mathbf {u}}\right| ^{p-1}{\mathbf {u}}.\) By Definition 1.1, we know that every components of \({\mathbf {u}}\) and \({\mathbf {f}}\) satisfy the assumption of Lemma 3.1. By this and Lemma 3.1, we find that, for any \(1\le k< \frac{N}{N-1}\), \( {\mathbf {u}}\in (L_{\mathrm{loc}}^{k}(\Omega ))^m. \) Choose k such that \(k>p\), then \(|{\mathbf {u}}|^p\in L_{\mathrm{loc}}^{j_0}(\Omega )\) for some \(j_0>1\). Since \({\mathbf {u}}\) is a positive weak solution of problem (1.4), it then follows that \({\mathbf {u}}\in (W_{\mathrm{loc}}^{2,j_0}(\Omega ))^m\).
If \(j_0>\frac{N}{2}\), then by the Sobolev embedding theorem and the Schauder estimates, we obtain \({\mathbf {u}}\in (C_{\mathrm{loc}}^{2,\alpha }(\Omega ))^m\) for some \(\alpha \in (0,1)\). As a result, the interior regularity gives that \({\mathbf {u}}\in (C^{\infty }(\Omega ))^m\). If \(j_0<\frac{N}{2}\), by the \(L^p\) regularity theory, we obtain \({\mathbf {u}}\in (W_{\mathrm{loc}}^{2,j_0}(\Omega ))^m\). Hence, \(|{\mathbf {u}}|^p\in L_{\mathrm{loc}}^{j_1}(\Omega )\) for \(j_1=\frac{Nj_0}{p(N-2j_0)}\) by the Sobolev embedding theorem and the fact that \(p<\frac{N}{N-1}\) gives that \(j_1>j_0>1\). By induction, we obtain that \(|{\mathbf {u}}|^p\in L_{\mathrm{loc}}^{j_l}(\Omega )\) for \(j_l=\frac{Nj_{l-1}}{p(N-2j_{l-1})}>j_{l-1}\). By the same argument as before, we conclude that there exists a \(j_l\) such that \(j_l>\frac{N}{2}\). If not, that is \(j_l<\frac{N}{2}\) for any l, then \(j_l\rightarrow {\widetilde{j}}=\frac{N(p-1)}{2p}<1\), which is impossible. If \(j_0=\frac{N}{2}\), we may replace it by choosing \(\widetilde{j_0}<\frac{N}{2}\), and we can obtain the same conclusion by iterating the same steps as before. Hence, we complete the proof of Theorem 1.3. \(\square \)
3.2 A priori estimate and boundary regularity
In this subsection, we study the priori estimate and regularity near the boundary. The following result addresses the norm estimates of a positive weak solution of problem (1.5).
Proposition 3.2
Let \(p>1\) and \({\mathbf {u}}\) be a positive weak solution of problem (1.5). Then there exists a positive constant C, depending on N, m, p, \(\Omega \) and \(\varrho \), such that (1.6) holds true.
Proof
Let \(\lambda _1\) be the first eigenvalue of the operator \(-\Delta \) with Dirichlet conditions on \(\partial \Omega \) and \(\phi _1\) be its corresponding positive eigenfunction. Moreover, there exists a positive constant \({\widetilde{C}}\) such that
see [16, p. 62] for the details.
By Definition 1.1, we know that
For any \(i\in \{1,2,\ldots ,m\}\), using the Young inequality, we have
It then follows that
which implies that
where \(\mathbf {e_m}:=(1,1,\ldots ,1)\in {\mathbb {R}}^m\). Using the above inequality and (3.2), we have
and hence,
Since \({\mathbf {u}}\) is nonnegative, it follows that
which, together with the above inequality and (3.1), implies that there exists a positive constant C, depending on m, p, \(\Omega \) and \(\varrho \), such that
Since \({\mathbf {u}}\) is a positive weak solution of problem (1.5), it follows from [7, Corollary 2.2] that
By this and the triangle inequality, we obtain
Applying the above inequality, Lemma 2.1 with \(\alpha =1\) and \(\beta =0\), and Lemma 2.2 with \(\gamma =0\), we then deduce that there exists a positive constant C, depending on N, m, p, and \(\Omega \), such that
Combining this and (3.3), we further deduce that
A combination of this and (3.3) yields the desired assertion. \(\square \)
The following lemmas give precise estimates of \({\mathbb {G}}[\nu ]\) and \({\mathbb {P}}[\mu ]\), which can be found in [7, Theorem 2.6] and [7, Theorem 1.1].
Lemma 3.3
Assume that \(\nu \in {\mathfrak {M}}(\Omega ,\delta ^\alpha dx)\), \(\alpha \in [0,1]\). If \(N\ge 3\), then \( {\mathbb {G}}[\nu ]\in M^{\frac{N+\beta }{N-2+\alpha }}(\Omega , \delta ^\beta dx) \) for any \(\beta \in \left( \frac{-N}{N-1+\alpha },\frac{\alpha N}{N-2}\right) \) and \(\alpha \ne 0\), or for any \(\beta \in ((-N)/(N-1),0]\) and \(\alpha =0\). In any case, there exists a positive constant \(C(N,\Omega ,\alpha ,\beta )\) such that
If \(N=2\) and \(\alpha \ne 0\), then \( {\mathbb {G}}[\nu ]\in M^{\frac{2+\beta -\varepsilon }{\alpha }}(\Omega , \delta ^\beta dx) \) for any \(\beta \in \left( \frac{-2}{1+\alpha },\infty \right) \) and \(\varepsilon >0\) small enough. If \(\alpha =0\), then \({\mathbb {G}}[\nu ]\in M^{p}(\Omega , \delta ^\beta dx)\) for any \(\beta \in \left( -2,0\right] \) and \(p\in (\max \{1,-\beta \},\infty )\).
Lemma 3.4
Assume that \(\mu \in {\mathfrak {M}}_+(\partial \Omega )\) and \(1<p<p^*\). Then there exists a positive constant \(C(N,\Omega ,p)\) such that
Typically, if \(\mu =\delta _0\) and \(0\in \partial \Omega \), then, for any \(x\in \Omega ,\)
We turn to show the pointwise estimates of a positive weak solution of problem (1.5).
Proof of Theorem 1.4
In view of Proposition 3.2, it suffices to show (1.7). Since \(\mathbf{u }\) is a positive weak solution of systems (1.5), it follows that the lower estimate of (1.7) holds true. Then the following we shall prove the upper estimate of (1.7). For the purpose, we divide it into two cases: \(p<\frac{N}{N-1}\), and \(\frac{N}{N-1}\le p<\frac{N+1}{N-1}\).
Now consider first \(p<\frac{N}{N-1}\). By (3.3), we have \(|{\mathbf {u}}|^{p}\in L^1(\Omega ,\delta dx).\) Combining this and Lemma 3.3 with \(\alpha =1\) and \(\beta =1\), we then deduce that \({\mathbb {G}}[|{\mathbf {u}}|^{p-1}{\mathbf {u}}]\in (M^{\frac{N}{N-1}}(\Omega ))^m\) when \(N\ge 3\), and \({\mathbb {G}}[|{\mathbf {u}}|^{p-1}{\mathbf {u}}]\in (M^{2-\varepsilon }(\Omega ))^m\) when \(N=2\). Since \(\varvec{\mu }\in ({\mathfrak {M}}_+(\partial \Omega ))^m,\) it follows from Lemma 2.2 that \({\mathbb {P}}[\varvec{\mu }]\in (M^{\frac{N}{N-1}}(\Omega ))^m\) when \(N\ge 3\), and \({\mathbb {P}}[\varvec{\mu }]\in (M^{2-\varepsilon }(\Omega ))^m\) when \(N=2.\) Therefore, by (3.4), we conclude that, if \(N\ge 3\), \( {\mathbf {u}}\in (M^{\frac{N}{N-1}}(\Omega ))^m,\) and if \(N=2\), \({\mathbf {u}}\in (M^{2-\varepsilon }(\Omega ))^m\) for \(\varepsilon \) small enough. Using this, (2.4), and \(p<\frac{N}{N-1}\), we have \(|{\mathbf {u}}|^{p}\in L^{k_0}(\Omega )\) for some \(1<k_0<\frac{N}{p(N-1)}\). For any \(n\ge 1\), let
By (2.1), we have
Since \({\mathbf {u}}\) is a positive weak solution of the system (1.5), it follows from (3.4) that
and hence
Now we will show that, there exist an integer \(n_0\ge 1\), and constants \(C_2\) and \(\widetilde{C_2}\), depending on N, p, \(\Omega \), \(\Vert \varvec{\mu }\Vert _{{\mathfrak {M}}_+(\partial \Omega )}\), \(\varrho \) and m, such that \(v_{n_0}\in C^0({\overline{\Omega }})\) and
Since \(v_0^p\in L^{k_0}(\Omega )\) for some \(1<k_0<\frac{N}{p(N-1)}\), it follows that \(v_1\in W^{2,k_0}(\Omega )\). Clearly, if \(N=2,\) then \(k_0>N/2\). It follows from the Sobolev inequality (see, for instance, [18, p. 284]) that \(v_1\in C^0({\overline{\Omega }})\). A combination of (3.6) and (3.7) yields (3.8).
If \(N\ge 3\), then \(k_0<N/2.\) By this and the Sobolev inequality, we deduce that
Moreover, we have \(k_1>\frac{(N-1)k_0}{N-2k_0} k_0>k_0.\) If \(k_1<N/2,\) by (2.1), we know that
Combining this, (3.7), and the weak maximum principle (see, for instance, [18, p. 344]), we then deduce that
where
Since \(|\varvec{\mu }|\in {\mathfrak {M}}_+(\partial \Omega )\), it follows from Lemma 3.4 that there exists a positive constant C, depending on N, p, and \(\Omega \), such that \({\mathbb {G}}[{\mathbb {P}}^{p}[|\varvec{\mu }|]]\le C\Vert \varvec{\mu }\Vert ^{p-1}_{({\mathfrak {M}}_+(\partial \Omega ))^m}{\mathbb {P}}[|\varvec{\mu }|]\). Combining this, (3.6), and (3.10), we then obtain
where \(C_1\) and \(\widetilde{C_1}\) are positive constants which depend on N, p, \(\Omega \), \(\Vert \varvec{\mu }\Vert _{({\mathfrak {M}}_+(\partial \Omega ))^m}\), \(\varrho \) and m. By induction, for any \(n\ge 2\), we can obtain (3.8) holds true. Moreover, \(v^p_n\in L^{k_n}(\Omega )\) with
Now we claim that there exists \(n_0\ge 2\) such that \(k_{n_0-1}>\frac{N}{2}\). If not, that is \(k_{n}<\frac{N}{2}\) for all \(n\ge 2\), then together with \(p<p^*<\frac{N}{N-2}\), we have
It is a contradiction with \(\{k_n\}_{n\in {\mathbb {N}}}\) is an increasing sequence and \(k_0>1\). This proves the above claim. Therefore, for \(N\ge 3,\) we can find a integer \(n_0\ge 2\) such that \(v_{n_0}\in C^0({\overline{\Omega }})\) and (3.8) holds true.
By (3.5), we obtain \(v_{n_0+1}\) is of Hölder continuous with exponent 1 and hence, there exists a positive constant \(C_3\) such that
Combining this and (3.8), we conclude that there exists a constant \({\widetilde{C}}\), depending on N, p, \(\Omega \), \(\Vert \varvec{\mu }\Vert _{{\mathfrak {M}}_+(\partial \Omega )}\), and m such that
This proves (1.7) when \(p<\frac{N}{N-1}\). Moreover, if \(\varvec{\mu }=0\), then by (1.7), we obtain, for any \(i\in \{1,2,\ldots , m\}\), \(\left| u_i\right| \le {\widetilde{C}}\delta (x).\) It follows from [21, p. 140] that \(u_i\in C^{0,1}({\overline{\Omega }})\). By this and Schauder estimates, we conclude that, for any \(i\in \{1,2,\ldots , m\}\), \(u_i\in C^{\infty }(\Omega )\cap C^{1,\alpha }({\overline{\Omega }})\) for any \(\alpha \in (0,1)\). Hence, \({\mathbf {u}}\in (C^{\infty }(\Omega )\cap C^{1,\alpha }({\overline{\Omega }}))^m.\) This proves Theorem 1.4 when \(p<\frac{N}{N-1}\).
Next, we consider the case \(\frac{N}{N-1}\le p< \frac{N+1}{N-1}\). Let \(K\ge 2\) be some fixed integer such that
For any \(n\in [0,K]\), let \(\beta _n:=1-\frac{n}{K}\in [0,1]\). By Lemma 3.3, if \(N\ge 3\), then \( {\mathbf {u}}\in (M^{\frac{N+1}{N-1}}(\Omega ,\delta dx))^m\), and if \(N=2\), for \(\varepsilon \) small, then \({\mathbf {u}}\in (M^{2-\varepsilon }(\Omega ,\delta dx))^m.\) Let \(\{v_n\}_{n\ge 0}\) be the same as in the first case. By (2.4) and \(\beta _0=1\), we have
where \(1<r_0<\frac{N+\beta _0}{(N-1)p}\). Define \(v_1:={\mathbb {G}}[v_0^p]\) in \(L^1(\Omega )\). By Lemma 3.3 and (2.4), then for \(N\ge 3\) and \(\varepsilon >0\) small enough,
for any \(\beta \in \left( -1,\frac{N}{N-2}\right) \), and for \(N=2\). Since \(\beta _1=1-\frac{1}{K}\in (0,1)\), it follows from (3.11) that \(N+\beta _1-(N-2+\beta _0)p=N+1-(N-1)p-\frac{1}{K}>0\) and
where \(1<r_1<\frac{N+\beta _1}{(N-2+\beta _0)p}\). For any \(n\le K\), assume by induction that \(v_{n-1}:={\mathbb {G}}[v^p_{n-2}]\) in \(L^1(\Omega )\), and that
where \(1<r_{n-1}<\frac{N+\beta _{n-1}}{(N-2+\beta _{n-2})p}\). Then we can define \(v_n:={\mathbb {G}}[v_{n-1}^p]\) in \(L^1(\Omega )\). By Lemma 3.3 and (2.4), we obtain
for any \(\beta \in \left( -1,\frac{\beta _{n-1}N}{N-2}\right) \). Taking \(\beta =\beta _n\ge 0\) and by (3.11), we have \(N+\beta _n-(N-2+\beta _{n-1})p>\frac{(n-1)(p-1)}{K}>0\), hence
where \(1<r_n<\frac{N+\beta _n}{(N-2+\beta _{n-1})p}\). Now in case \(n=K\), we have \(\beta _K=0\). This proves that \(v^p_K\in L^{r_K}(\Omega )\), with \(r_K>1\) and we are reduced to (3.9) of the first case. By this and the same argument as that used in the first case, we conclude that there exists an integer \(n_0\) such that \(v_{n_0+K}\in C^0({\overline{\Omega }})\). Until now, we finish the proof of Theorem 1.4. \(\square \)
At last, we give a simple proof of Corollary 1.5.
Proof of Corollary 1.5
Since its trace is necessarily of the form \({\mathbf {u}}=\varvec{\varrho }\delta _0\) for some \(\varvec{\varrho }\ge 0\), \(\varvec{\varrho }\in {\mathbb {R}}^m\). To obtain this corollary, we just need to consider a typical case of problem (1.5) with \({\mathbf {u}}=\varvec{\varrho }\delta _0\) on \(\partial \Omega \) for some \(\varvec{\varrho }\ge 0\). If \(\varvec{\varrho }=0\), then by Theorem 1.4, we find that \({\mathbf {u}}\) is continuous at 0. If not, then by Lemma 3.4, we obtain a more precise estimate, that is, there exists a positive constant C, depending on N, p, \(\Omega \), and \(\varvec{\varrho }\), such that
By induction, we then obtain, for any \(n\in {\mathbb {N}}\),
By [7, (2.8)], we know that there exists a constant \(C=C(N,\Omega )\) such that, for any \((x,z)\in \Omega \times \partial \Omega \),
From this and (1.7), it follows that
Combining this inequality and \(p<\frac{N+1}{N-1}\), we conclude that
This finishes the proof of Corollary 1.5. \(\square \)
4 Proof of Theorem 1.6
In order to show the existence of the minimal solution for the system (1.5), we first give a sufficient conditions for the existence of the minimal solution by Proposition 4.1. As a result, we can prove Proposition 4.2 and obtain that there exists a minimal solution for (1.5). At last, with the help of Proposition 4.2 we shall prove Theorem 1.6.
Proposition 4.1
Assume that \(1<p<p^*\). If there exists a nonnegative function \({\mathbf {U}}\in (L^{p}(\Omega , \delta dx ))^m\) such that \({\mathbf {U}}\ge {\mathbb {G}}[|{\mathbf {U}}|^{p-1}{\mathbf {U}}]+\varrho {\mathbb {P}}[\varvec{\mu }]\), then the problem (1.5) admits a minimal positive weak solution \(\underline{{\mathbf {u}}}\) satisfying
Proof
Put \({\mathbf {u}}_0:=(0,0,\ldots ,0)\in {\mathbb {R}}^m\) and
Clearly, \({\mathbf {u}}_0\le {\mathbf {U}}\). It then follows from (2.2) that
By induction, we can show that \(\mathbf {u_n}\le {\mathbf {U}}\) for any \(n\ge 1\). It is easy to deduce from (2.2) that \(\{\mathbf {u_n}\}_{n\in {\mathbb {N}}}\) is an increasing sequence. Hence, there exists a positive vextor-valued function \(\underline{{\mathbf {u}}}\in (L^{p}(\Omega , \delta dx))^m\) such that \(\mathbf {u_n}\rightarrow \underline{{\mathbf {u}}}\) almost everywhere as \(n\rightarrow \infty \). Moreover, by the dominated convergence theorem, we find that \( |\mathbf {u_n}|^{p-1}\mathbf {u_n}\rightarrow |\underline{{\mathbf {u}}}|^{p-1}\underline{{\mathbf {u}}}\) in \((L^1(\Omega ,\delta dx))^m\) as \(n\rightarrow \infty \). Therefore, by Lemma 2.1, we have
and a.e. in \(\Omega \) as \(n\rightarrow \infty \). Letting \(n\rightarrow \infty \) in (4.1), we then deduce that
By [7, Corollary 2.2], we know that \(\underline{{\mathbf {u}}}\) is a weak solution of (1.5).
Now, we claim that \(\underline{{\mathbf {u}}}\) is the minimal weak solution of (1.5). Indeed, for any positive weak solution \({\mathbf {u}}\) of (1.5), we have by (3.4) that
which, together with (2.2), implies that
By induction, we know that \({\mathbf {u}}\ge \mathbf {u_n}\) for all \(n\ge 1\). Hence \({\mathbf {u}}\ge \underline{{\mathbf {u}}}\). This proves the above claim and hence finishes the proof of Proposition 4.1. \(\square \)
Using the above proposition, we establish the existence of minimal positive weak solution of systems (1.5).
Proposition 4.2
Assume that \(1<p<p^*\). Then there exists a positive constant \({\widetilde{\varrho }}\) such that, for any \(\varrho \in (0,{\widetilde{\varrho }})\), systems (1.5) admit a minimal positive weak solution \(\underline{{\mathbf {u}}}\).
Proof
To use Proposition 4.1, we first construct a supersolution. For any \(\theta >0\), define
where \(\mathbf {e_m}:=(1,1,\ldots ,1)\in {\mathbb {R}}^m\). By Lemma 3.4, we have
It follows that,
where C is a positive constant depends on N, \(\Omega \), p, and \(\Vert \varvec{\mu }\Vert _{({\mathfrak {M}}_+(\partial \Omega ))^m}\). If
then \( |{\mathbf {U}}|^{p-1}{\mathbf {U}}\le |{\mathbf {U}}|^{p}\mathbf {e_m}\le \theta \varrho ^{p}|{\mathbb {P}}[\varvec{\mu }]|^{p}\mathbf {e_m}. \) Combining this, the definition of \({\mathbf {U}}\), and (2.2), we obtain
By this and Proposition 4.1, we obtain the desired assertion. Now, we just need to deal with (4.2). Observe that (4.2) holds true if and only if
Set
then if \(\varrho \le \varrho _0\), we have \((Cm\theta _0 \varrho ^{p-1}+1)^p\le \theta _0\), where \(\theta _0:=\left( \frac{p}{p-1}\right) ^p\). Hence, we have chosen \(\theta _0\) and \(\varrho _0\) such that (4.2) satisfied. Using Proposition 4.1, there exists a minimal solution \(\underline{{\mathbf {u}}}\) satisfying
This finishes the proof of Proposition 4.2. \(\square \)
To prove Theorem 1.6, we also need the following technical lemma, which was first proved in [9, Lemma 5.3].
Lemma 4.3
Assume that \(v_1\), \(v_2\in C^2(\Omega )\), and \(v_2>0\). Let \(f:{\mathbb {R}}\rightarrow {\mathbb {R}}\) be a \(C^2\) and concave function. Then
In order to prove the first part of Theorem 1.6, we shall define a set \({\mathcal {A}}\) as follows:
By Proposition 4.2, we know that (1.5) admits a positive solution for \(\varrho \) small enough. Therefore, \({\mathcal {A}}\ne \emptyset \) and \({\mathcal {A}}\) is well-defined. For the case \(1<p<p^*\), our aim is to show that \(\varrho ^*=\sup {\mathcal {A}}\). On the other hand, by the method of contradiction, we can complete the other case \(p\ge p^*\).
Proof of Theorem 1.6
Case 1) \(1<p<p^*\). To prove
we only need to prove the following 4 claims.
Claim 1: \(\varrho ^*\) is finite.
By Theorem 1.2, we know that systems (1.5) admit a positive weak solution \({\mathbf {u}}\) for \(\varrho \) small enough. For any fixed \(i\in \{1,2,\ldots ,m\}\), let \(v_{1,i}:=u_i\) and \(v_{2,i}:=\varrho {\mathbb {P}}[\mu _i]\). Then, we have \(-\Delta (u_i)=|{\mathbf {u}}|^{p-1}u_i\) in \(\Omega \). Let
Since \(\Delta (\varrho {\mathbb {P}}[\mu _i])=0\) (see (2.1)) and \(v_{1,i}\ge v_{2,i}>0\), it follows from Lemma 4.3 that
Using the above inequality and the fact that \(-\Delta {\mathbb {G}}[{\mathbb {P}}^p[\mu _i]]={\mathbb {P}}^p[\mu _i]\) in \(\Omega \) (see (2.1)), we then deduce that, for any \(i\in \{1,2,\ldots ,m\}\),
Since \(u_i=\varrho {\mathbb {P}}[ \mu _i]\) on \(\partial \Omega \), it follows that \(f(\frac{u_i}{\varrho {\mathbb {P}}[ \mu _i]})=f(1)=0\) on \(\partial \Omega \), which, together with the fact that \({\mathbb {G}}[{\mathbb {P}}^p[\mu _i]]=0\) on \(\partial \Omega \) (see (2.1)), further implies that
From this, (4.3), and the weak maximum principle, it then follows that
Combining this, the fact that \(u_i\ge \varrho {\mathbb {P}}[\mu _i]\), and \(f\le \frac{1}{p-1}\) on \([1,\infty )\), we conclude that
Therefore, for any \(i\in \{1,2,\ldots ,m\}\), \( (\mathbf {\varrho }^*)^{p-1} {\mathbb {G}}\left[ {\mathbb {P}}^p[\mu _i]\right] \le \frac{1}{p-1}{\mathbb {P}}[\mu _i]. \) Since \(|\varvec{\mu }|(\partial \Omega )=1\), it follows that \(\varrho ^*\) is finite. This proves the first claim.
Claim 2: \({\mathcal {A}}\) is an interval.
To show this claim, it is enough to prove that if \(\varrho '\in {\mathcal {A}}\) and \(\varrho '<\varrho ^*\), then \(\tau \in {\mathcal {A}}\) for any \(\tau \in (0,\varrho ')\). By the definition of \({\mathcal {A}}\), we find that there exists a positive weak solution \({{\mathbf {u}}}_{\varrho '}\) of problem (1.5) with \(\varrho =\varrho '\), and \({{\mathbf {u}}}_{\varrho '}\ge \varrho '{\mathbb {P}}[\varvec{\mu }]\ge \tau {\mathbb {P}}[\varvec{\mu }]\). It is easy to see that \({\mathbf {u}}_{\varrho '}\) is a supsolution of (1.5) with \(\varrho =\tau \). By this and Proposition 4.1, we know that (1.5) with \(\varrho =\tau \) admits a minimal positive weak solution \(\underline{{\mathbf {u}}}_\tau <{\mathbf {u}}_{\varrho '}\). This implies that \(\tau \in {\mathcal {A}}\) and hence proves the second claim.
Claim 3: \(\varrho ^*\in {\mathcal {A}}\).
To prove Claim 3, we only need to show that problem (1.5) admits a positive weak solution for \(\varrho =\varrho ^*\). Let \(\{\varrho _n\}\in {\mathcal {A}}\) be a nondecreasing sequence converging to \(\varrho ^*\). For each n, let \(\underline{{\mathbf {u}}}_{n}\) be the positive minimal weak solution of (1.5) with \(\varrho =\varrho _n\). By Definition 1.1, we obtain, for any \(\xi \in X_0^{1.1}({\overline{\Omega }})\),
It follows from Theorem 1.4 that the sequence \(\{\underline{{\mathbf {u}}}_{n}\}_{n\in {\mathbb {N}}}\) is uniformly bounded in \((L^1(\Omega ))^m\) and in \((L^p(\Omega ,\delta dx))^m\). By the formulation
and the Green operator \({\mathbb {G}}:\ L^1(\Omega , \delta dx)\rightarrow L^1(\Omega )\) is compact (see Lemma 2.1), we derive that there exist a function \(\underline{{\mathbf {u}}}_{\varrho ^*}\) and a subsequence, still denoted by the same notation, such that \(\underline{{\mathbf {u}}}_{n}\) converges to \(\underline{{\mathbf {u}}}_{\varrho ^*}\) in \((L^1(\Omega ))^m\) and a.e in \(\Omega \) as \(n\rightarrow \infty \).
For \(q\in (p,p^*)\), by (4.5), Lemma 2.1 with \(\alpha =1\) and \(\beta =1\), and Lemma 2.2 with \(\gamma =1\), we deduce that, for any \(n\in {\mathbb {N}},\)
It follows from Theorem 1.4 that, for any \(n\in {\mathbb {N}},\)
Thus, \(\{\underline{{\mathbf {u}}}_{n}\}_{n\in {\mathbb {N}}}\) is uniformly bounded in \((L^q(\Omega , \delta dx))^m\). Furthermore, we infer that \(\{|\underline{{\mathbf {u}}}_{n}|^{p-1}\underline{{\mathbf {u}}}_{n}\}_{n\in {\mathbb {N}}}\) is uniformly integrable in \((L^1(\Omega , \delta dx))^m\) by the Hölder inequality. Using the Vitali convergence theorem, we further deduce that \(|\underline{{\mathbf {u}}}_{n}|^{p-1}\underline{{\mathbf {u}}}_{n}\rightarrow |\underline{{\mathbf {u}}}_{\varrho ^*}|^{p-1}\underline{{\mathbf {u}}}_{\varrho ^*}\) in \((L^1(\Omega , \delta dx))^m\) as \(n\rightarrow \infty \). Therefore, letting \(n\rightarrow \infty \) in (4.4), we have
This means \(\underline{{\mathbf {u}}}_{\varrho ^*}\) is a positive weak solution of (1.5) with \(\varrho =\varrho ^*\). Thus, \(\varrho ^*\in {\mathcal {A}}\). This finishes the proof of the claim.
Claim 4: The function \(\underline{{\mathbf {u}}}_{\varrho ^*}\) is the positive minimal weak solution of (1.5) for \(\varrho =\varrho ^*\).
Let \({\mathbf {u}}\) be any positive weak solution of (1.5) for \(\varrho =\varrho ^*\). Then \({\mathbf {u}}\) is a supsolution of (1.5) when \(\varrho =\varrho _n\). It follows from Proposition 4.1 that \({\mathbf {u}}\ge \underline{{\mathbf {u}}}_{n}\), where \(\underline{{\mathbf {u}}}_{n}\) is defined in the Claim 3. Therefore, \({\mathbf {u}}\ge \underline{{\mathbf {u}}}_{\varrho ^*}\). By this, we conclude that \(\underline{{\mathbf {u}}}_{\varrho ^*}\) is the positive minimal weak solution of (1.5) for \(\varrho =\varrho ^*\). This proves the desired assertion.
For any \(\varrho _1\), \(\varrho _2\in (0,\varrho ^*]\) with \(\varrho _1\le \varrho _2\), \(\underline{{\mathbf {u}}}_{\varrho _2}\) is a supsolution of systems (1.5) when \(\varrho =\varrho _1\). From this and Proposition 4.1, it follows that \(\{\underline{{\mathbf {u}}}_{\varrho }\}_{\varrho \in (0,\varrho ^*]}\) is an increasing sequence. Moreover, by the same argument as that used in the proof of Claim 3, we conclude that \(\{\underline{{\mathbf {u}}}_{\varrho }\}_{\varrho \in (0,\varrho ^*]}\) converges to \(\underline{{\mathbf {u}}}_{\varrho ^{*}}\) in \((L^1(\Omega ))^m\) and in \((L^p(\Omega ,\delta \,dx))^m\). Furthermore, if \(\varrho >\varrho ^{*}\), by the definition of \({\mathcal {A}},\) we find that systems (1.5) admit no positive weak solution. Hence, we finish the proof of Case 1).
Case 2) \(p\ge p^*\). Suppose by contradiction that for some \(\varrho >0\) and \(z_i\in \partial \Omega \), \(i\in \{1,2,\ldots ,m\}\), the system with \(\mu _{i}=\delta _{z_i}\) admits a positive weak solution \({\mathbf {u}}\). Then from Theorem 1.4, we obtain that \({\mathbf {u}}\in (L^p(\Omega , \delta dx))^m\) and \({\mathbf {u}}\ge \varrho {\mathbb {P}}[\varvec{\mu }]\). Combining this and (3.12), we then deduce that
Choose \(r>0\) such that
Then
Since \(p\ge \frac{N+1}{N-1}\), it follows that the integral on the right hand-side of the above inequality is divergent. This implies that \({\mathbf {u}}\notin (L^p(\Omega , \delta dx))^m\). Thus, we obtain a contradiction. Therefore, we complete the proof of Case 2) and hence Theorem 1.6. \(\square \)
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This paper is supported by the Fundamental Research Funds for the Central Universities (No. 2021RC220) and China Postdoctoral Science Foundation (Grant Nos. 2020M680324 and 2019M662797)
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Li, Y., Xie, G. Positive solutions for semilinear elliptic systems with boundary measure data. Annali di Matematica 201, 1325–1346 (2022). https://doi.org/10.1007/s10231-021-01159-6
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DOI: https://doi.org/10.1007/s10231-021-01159-6