Bubbling solutions for a planar exponential nonlinear elliptic equation with a singular source
Jingyi Dong, Jiamei Hu, Yibin Zhang

TL;DR
This paper constructs solutions with multiple bubbling phenomena for a planar exponential elliptic equation with a singular source, revealing detailed asymptotic behavior as a parameter grows large.
Contribution
It introduces a method to produce solutions with multiple bubbles concentrating at a maximum point of the first eigenfunction, including the effect of a singular source.
Findings
Existence of solutions with multiple bubbles accumulating at a maximum point.
Asymptotic integral of the exponential term converges to a quantized value.
Characterization of bubble concentration related to eigenfunction maxima.
Abstract
Let be a bounded domain in with smooth boundary, we study the following elliptic Dirichlet problem where is a large parameter, , , , denotes the Dirac measure supported at point and is a positive first eigenfunction of the problem under Dirichlet boundary condition in . If is a strict local maximum point of , we show that such a problem has a family of solutions with arbitrary bubbles accumulating to , and the quantity…
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Taxonomy
TopicsNonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering · Advanced Mathematical Physics Problems
Bubbling solutions for a planar exponential nonlinear elliptic equation with a singular source
Abstract.
Let be a bounded domain in with smooth boundary, we study the following elliptic Dirichlet problem
[TABLE]
where is a large parameter, , , , denotes the Dirac measure supported at point and is a positive first eigenfunction of the problem under Dirichlet boundary condition in . If is a strict local maximum point of , we show that such a problem has a family of solutions with arbitrary bubbles accumulating to , and the quantity as .
2000 Mathematics Subject Classification. Primary 35B25, 35J25; Secondary 35B40.
Keywords: Bubbling solutions; Exponential nonlinearity; Singular source; Lyapunov-Schmidt procedure.
∗This research is supported by the Student Research Training of Jiangsu Province under Grant No. 202110307029Y, and the National Natural Science Foundation of China under Grant Nos. 11601232, 11671354 and 11775116.
Jingyi Dong, Jiamei Hu, Yibin Zhang111Corresponding author: [email protected]
College of Sciences, Nanjing Agricultural University, Nanjing 210095, China
1. Introduction
Let be a bounded domain in with smooth boundary. This paper deals with the analysis of solutions in the distributional sense for the following problem involving a singular source
[TABLE]
where is a large parameter, , , denotes the Dirac measure supported at point , is given, is an eigenfunction of with Dirichlet boundary condition corresponding to the first eigenvalue . Clearly, if we set in and let be the Green’s function associated to with Dirichlet boundary condition, namely
[TABLE]
and be its regular part defined as
[TABLE]
then equation (1.1) is equivalent to solving for , the problem
[TABLE]
where and . We are interested in the existence of solutions of problem (1.4) (or (1.1)) which exhibit the concentration phenomenon when the parameter .
This work is directly motivated by the study of the regular case in equation (1.1), namely the following elliptic equation of Ambrosetti-Prodi type [1]:
[TABLE]
or its equivalent form
[TABLE]
where is a bounded smooth domain in (). In the early 1980s, Lazer and McKenna conjectured that (1.5) has an unbounded number of solutions as (see [2]). When , del Pino and Muñoz [3] proved the Lazer-McKenna conjecture for problem (1.5) by constructing non-simple bubbling solutions of (1.6) with the following properties
[TABLE]
where and ’s are distinct maxima of . Surprising enough, this multiple bubbling phenomenon is in strong opposition to a slightly modified but widely studied version of equation (1.6), namely the Liouville-type equation or sometimes referred to as the Gelfand equation
[TABLE]
with , where is a bounded smooth domain and is a non-negative, not identically zero function. Indeed, the asymptotic analysis in [4, 5, 6, 7] shows that if is an unbounded family of solutions of equation (1.8) for which is uniformly bounded, then, up to a subsequence, there exists an integer such that makes distinct points simple blow-up on with , more precisely
[TABLE]
Also the location of -tuple of these bubbling points can be viewed as a critical point of a functional in terms of the Green’s function and its regular part. Conversely, the existence of solutions for equation (1.8) with these bubbling behaviors has been founded in [8, 9, 10, 11, 12]. In particular, the construction of solutions with arbitrary distinct bubbling points is achieved in some special cases: for any if is not simply connected ([10]), and for any provided that is an -dumbell with thin handles ([11]). Finally, we mention that in the recent paper [13], it has been proven that the Lazer-McKenna conjecture also holds true for problem (1.5) in dimension with some symmetries, by constructing non-simple bubbling solutions to a two-dimensional anisotropic version of (1.6).
Our motivation also directly comes from the study of a slightly modified version of equation (1.1) (or (1.4)), namely the singular Liouville equation
[TABLE]
or its equivalent form
[TABLE]
with , and . This type of singular equation arises in the Tur-Yanovsky vortex pattern of planar stationary Euler equations for an incompressible and homogeneous fluid [14, 15], the construction of planar conformal metrics with conical singularity of order [16], and the several superconductivity theories of the self-duel regime, such as the Abelian Maxwell-Higgs and Chern-Simons-Higgs theories [17, 18].
For equation (1.10) involving , solutions with distinct bubbling points away from the singular source have been founded first in [10] provided that . Later in [19], this result has been extended to the case of multiple singular sources, and more specifically, it is shown that, under suitable restrictions on the weights, if several sources exist, then the more involved topology should generate a larger number of bubbling solutions than the singleton case considered in [10]. However, the problem of finding solutions of with additional bubbles around the singular source is of different nature. Indeed, the asymptotic analysis in [20, 21] shows that if these solutions exist, then the bubble at the singularity provides an additional contribution of in the limit of (1.9). More precisely, if is an unbounded family of solutions of for which is uniformly bounded and is unbounded in any neighborhood of , then, up to a subsequence, there exists an integer such that makes distinct points simple blow-up on , namely
[TABLE]
Moreover, the location of the distinct points can be characterized as a critical point of some certain functional in terms of the Green’s function and its regular part. Reciprocally, the construction of solutions of equation with bubbles around has been carried out first in [20] for the case , later in [15] for the case where given any positive integer and any sufficiently small complex number , it is proven that there exists a solution of equation (1.10) with and replaced by for a suitable with bubbling points at the vertices of a sufficiently tiny regular polygon centered in point ; moreover lies close to a zero point of a vector field explicitly built upon derivatives of order of the regular part of Green’s function of the domain. Recently, for equation (1.11) with and the potential replaced by , it has been proven in [22] that if the local potential and the geometry of the domain satisfy some conditions at the singular source , then there exists a solution bubbling only at and satisfying as .
In the present paper, we consider the singular case of problem (1.1) (or (1.4)) involving and try to prove the existence of its non-simple bubbling solutions in a constructive way. We find that if the singular source is a strict local maximum point of in the domain, then problem (1.4) (or (1.1)) has a family of solutions with the accumulation of arbitrarily many bubbles at source . This can be stated as following:
Theorem 1.1. Let and assume that is a strict local maximum point of in . Then for any integer , there exists such that for any , problem (1.4) has a family of solutions satisfying
[TABLE]
where , as , uniformly on each compact subset of , the parameters , , and satisfy
[TABLE]
for some , and satisfies
[TABLE]
*with . *
The equivalent result for problem (1.1) can be stated in the following form.
Theorem 1.2. Let and assume that is a strict local maximum point of in . Then for any integer and any large enough, there exists a family of solutions of problem (1.1) with distinct bubbles accumulating to . Moreover,
[TABLE]
Moreover, for the case , we have the corresponding results for problems (1.1) and (1.4), respectively.
Theorem 1.3. Let . Then there exists such that for any , problem (1.4) has a family of solutions such that as tends to ,
[TABLE]
*uniformly on each compact subset of , where the parameter satisfies for some . *
Theorem 1.4. Let . Then for any large enough, there always exists a family of solutions of problem (1.1) such that
[TABLE]
According to Theorems 1.1 and 1.2, it follows that if the singular source is an isolated local maximum point of , then for any integer there exists a family of solutions of problem (1.4) which exhibits the phenomenon of -bubbling at , namely, and . While for the case , by arguing exactly along the sketch of the proof of Theorem 1.1 we can prove the corresponding results in Theorems 1.3 and 1.4, and further find that problem (1.4) should always admit a family of solutions blowing up at the singular source whether is an isolated local maximum point of or not.
The strategy for proving our main results relies on a very well-known Lyapunov-Schmidt reduction procedure. In Section we exactly describe the ansatz for the solution of problem (1.4) and rewrite problem (1.4) in terms of a linearized operator for which a solvability theory, subject to suitable orthogonality conditions, is performed through solving a linearized problem in Section . In Section we solve a nonlinear projected problem. In Section we set up a maximization problem. In the last section we show that the solution to the maximization problem indeed yields a solution of problem (1.4) with the qualitative properties as predicted in Theorem 1.1.
Throughout this paper, the symbol will always denote a generic positive constant independent of , it could be changed from one line to another.
2. Ansatz for the solution
In this section we will provide an ansatz for solutions of problem (1.4). For the sake of convenience we always fix the point as an isolated local maximum point of in , and further assume
[TABLE]
The configuration space for concentration points we try to seek is the following
[TABLE]
where is a sufficiently small but fixed number, independent of , and is given by
[TABLE]
Let us fix . For numbers and , , yet to be determined, we define
[TABLE]
which satisfy in entire
[TABLE]
having the properties
[TABLE]
where
[TABLE]
Our ansatz is then
[TABLE]
where is a correction term defined as the solution of
[TABLE]
Lemma 2.1. For any points and any large enough, then we have
[TABLE]
[TABLE]
*uniformly in , where is the regular part of Green’s function defined in (1.3). *
Proof.
If we set , then is a harmonic function. Hence by (1.3), (2.4), (2.9) and the maximum principle,
[TABLE]
uniformly in , as , which implies that expansion (2.10) holds. Furthermore, expansion (2.11) can be also obtained along these analogous arguments of (2.10). ∎
Observe that and , are good approximations for a solution of problem (1.4) near points and , , respectively. We expect that the ansatz in (2.8) is more accurate near and each , namely the remainders and vanish at main order near or , respectively. This can be achieved through the following precise choices of the concentration parameters and :
[TABLE]
[TABLE]
We thus fix and a priori as functions of in and write and for all . Since , there exists a constant independent of such that
[TABLE]
and
[TABLE]
Consider now the change of variables
[TABLE]
with
[TABLE]
then solves equation (1.4) if and only if satisfies
[TABLE]
where
[TABLE]
Let us write and , , and define the initial approximate solution of (2.17) as
[TABLE]
where is defined in (2.8). Moreover, set
[TABLE]
and the “error term”
[TABLE]
Let us see how well match with through so that the “error term” is sufficiently small for any . A simple computation shows that
[TABLE]
where
[TABLE]
Then if for some index ,
[TABLE]
and if ,
[TABLE]
while if and for all ,
[TABLE]
On the other hand, let us first fix the index and the region . Then we have
[TABLE]
From (2.4), (2.10), (2.11) and the fact that is for any , we have that for ,
[TABLE]
where the last equality is due to the choice of in (2.13). Thus if for some ,
[TABLE]
and by (2.24),
[TABLE]
Similarly, if , by (2.1), (2.4), (2.10), (2.11) and (2.12) we can compute
[TABLE]
and by (2.25),
[TABLE]
While if and for all , by (2.4), (2.10) and (2.11) we obtain
[TABLE]
Then by (2.26),
[TABLE]
In what remains of this paper we will seek solutions of problem (2.17) in the form , where will represent a lower order correction. In terms of , problem (2.17) becomes
[TABLE]
where the “nonlinear term” is given by
[TABLE]
3. Solvability of a linear problem
In this section we consider the solvability of the following linear problems: given and points , we find a function such that for certain scalars , , , one has
[TABLE]
where satisfies (2.28), (2.30) and (2.32), and , are defined as follows. Let , , and be
[TABLE]
It is well known that
- •
any bounded solution to
[TABLE]
where , is proportional to (see [20, 23, 24]);
- •
any bounded solution to
[TABLE]
is a linear combination of , (see [8, 9]).
Then we define
[TABLE]
Next, we consider a large but fixed positive number and set a radial, smooth non-increasing cut-off function with , for and for . Let
[TABLE]
Equation (3.1) will be solved for , but we need to estimate the size of the solution in terms of the following -weighted norm:
[TABLE]
where is a sufficiently small but fixed positive number, independent of , such that -1<\hat{\alpha}<\min\big{\{}\alpha,\,-2/3\big{\}}.
Proposition 3.1. Let be a positive integer. Then there exist constants and such that for any , any points and any , there is a unique solution , , , to problem (3.1). Moreover
[TABLE]
Proof.
The proof of this result consists of five steps which we state and prove next.
Step 1: The operator satisfies the maximum principle in \widetilde{\Omega}_{t}:=\Omega_{t}\setminus\big{[}\bigcup_{i=1}^{m}B_{R_{1}\gamma_{i}}(\xi^{\prime}_{i})\cup B_{R_{1}\rho_{0}v_{0}/\varepsilon_{0}}(p^{\prime})\cup B^{c}_{2d/\varepsilon_{0}}(p^{\prime})\big{]} for large but small independent of , namely if satisfies in , on , then in . In order to prove it, we shall first find a function such that and in . Indeed, let
[TABLE]
where , satisfies in , on , is defined in (3.2) and
[TABLE]
Observe that
[TABLE]
Then if 3^{1/(2+2\hat{\alpha})}\rho_{0}v_{0}/(a\varepsilon_{0})\leq\big{|}y-p^{\prime}\big{|}\leq 1/(\varepsilon_{0}t^{2\beta}), by (2.30),
[TABLE]
Similarly, if 3^{1/2}\gamma_{i}/a\leq\big{|}y-\xi^{\prime}_{i}\big{|}\leq 1/(\varepsilon_{0}t^{2\beta}) for some index , by (2.28),
[TABLE]
While if and for all , by (2.32),
[TABLE]
Hence if is taken sufficiently small but fixed, and is chosen sufficiently large depending on this , then by (2.23) we can easily conclude that in .
Next, we suppose that the operator does not satisfy the maximum principle in . Since in , it follows that the function has a negative minimum point in . A direct computation gives
[TABLE]
Then -\Delta\big{(}\psi/\mathcal{Z}\big{)}(y_{0})>0, which contradicts to the fact that is a minimum point of in .
Step 2: Let be as before. Since , and for large enough, we find and , , disjointed and included in . Let us consider the following norm
[TABLE]
We claim that there is a constant independent of such that, if is the solution of the linear equation
[TABLE]
then
[TABLE]
for any and any points . We will establish this estimate with the use of suitable barriers. Let be a large number such that and for all . Consider and , , respectively, as the solutions of the problems
[TABLE]
and
[TABLE]
Then the solutions and , , are the positive functions, respectively given by
[TABLE]
[TABLE]
Clearly, the functions and , , are uniformly bounded from above by a constant independent of . Let us consider the function defined in the previous step. We take the barrier
[TABLE]
Choosing larger if necessary, we have that for , by (3.9),
[TABLE]
and for y\in\Omega_{t}\setminus\big{[}\bigcup_{i=1}^{m}B_{R_{1}\gamma_{i}}(\xi^{\prime}_{i})\cup B_{R_{1}\rho_{0}v_{0}/\varepsilon_{0}}(p^{\prime})\cup B^{c}_{2d/\varepsilon_{0}}(p^{\prime})\big{]}, by (2.28), (2.30), (2.32) and (3.7),
[TABLE]
By the maximum principle in the previous step we obtain that in \widetilde{\Omega}_{t}=\Omega_{t}\setminus\big{[}\bigcup_{i=1}^{m}B_{R_{1}\gamma_{i}}(\xi^{\prime}_{i})\cup B_{R_{1}\rho_{0}v_{0}/\varepsilon_{0}}(p^{\prime})\cup B^{c}_{2d/\varepsilon_{0}}(p^{\prime})\big{]}, which combined with (3.13) gives estimate (3.12).
Step 3: Take , being the constant in the previous two steps. We prove uniform a priori estimates for solutions of equation (3.11), when and satisfies more orthogonality conditions than those of (3.1) in the following way
[TABLE]
Namely, we prove that there exists a constant independent of such that for any and any points ,
[TABLE]
for large enough. By contradiction, assume that there are sequences of parameters , points , functions , and associated solutions of equation (3.11) with orthogonality conditions (3.14) such that
[TABLE]
Let us set
[TABLE]
and
[TABLE]
and for all ,
[TABLE]
where \mu^{n}=\big{(}\mu^{n}_{0},\mu^{n}_{1},\ldots,\mu_{m}^{n}\big{)}, , , , and \gamma^{n}_{i}=\frac{1}{\varepsilon_{0}^{n}}\varepsilon_{i}^{n}\mu^{n}_{i}=\mu^{n}_{i}\exp\left\{-\frac{1}{2}t_{n}\big{[}\phi_{1}(\xi^{n}_{i})-1\big{]}\right\}. First, using the expansion of in (2.32), we have that satisfies
[TABLE]
By the definition of the -norm in (3.7) we find that \big{(}\frac{1}{\varepsilon^{n}_{0}}\big{)}^{2}\big{|}\widehat{h}^{n}_{p^{c}}(x)\big{|}\leq C\|h_{n}\|_{*}\rightarrow 0 uniformly in . Obviously, elliptic regularity theory implies that converges uniformly in to a trivial solution , namely in .
Next, using the expansion of in (2.30), we find that satisfies
[TABLE]
for any . Thanks to the definition of the -norm in (3.7), we have that for any q\in\big{(}1,-1/\hat{\alpha}\big{)}, \big{(}\frac{\rho^{n}_{0}v^{n}_{0}}{\varepsilon^{n}_{0}}\big{)}^{2}\widehat{h}^{n}_{p}\rightarrow 0 in L^{q}\big{(}B_{R_{0}+2}(0)\big{)}. Since is bounded in L^{q}\big{(}B_{R_{0}+2}(0)\big{)}, elliptic regularity theory readily implies that converges uniformly over compact subsets near the origin to a bounded solution of equation , which satisfies
[TABLE]
Then is proportional to . Since , by (3.17) we deduce that in .
Finally, using the expansion of in (2.28) and elliptic regularity, we can derive that for each , converges uniformly over compact subsets near the origin to a bounded solution of equation , which satisfies
[TABLE]
Then is a linear combination of , . Notice that for and . Hence (3.18) implies in . As a consequence, by definition (3.10) we find . But (3.12) and (3.16) tell us , which is a contradiction.
Step 4: We establish uniform an a priori estimate for solutions to equation (3.11), when and only satisfies the orthogonality conditions in (3.1)
[TABLE]
More precisely, we prove that there exists a constant independent of such that for any and any points ,
[TABLE]
for large enough.
Let be a large but fixed number. Set
[TABLE]
where
[TABLE]
Note that by estimates (2.14)-(2.15), and definitions (2), (2.7) and (2.23),
[TABLE]
and
[TABLE]
Let and be radial smooth cut-off functions in such that
[TABLE]
where can be chosen as a sufficiently small but fixed number independent of such that . Set
[TABLE]
and
[TABLE]
We define the two test functions
[TABLE]
Given satisfying (3.11) and (3.19), let
[TABLE]
We will first prove the existence of , and such that satisfies the orthogonality conditions in (3.14). Remark that coincides with in and hence is still orthogonal to for . Testing (3.28) against and using the orthogonality conditions in (3.14) and (3.19) for and the fact that if , we can write
[TABLE]
Notice that for all , , and by (3.24) and (3.27),
[TABLE]
Then
[TABLE]
We need just to consider and . Testing (3.28) against and , respectively, and using the orthogonality conditions in (3.14) for and , we get a system of ,
[TABLE]
But
[TABLE]
and
[TABLE]
Let us denote the coefficient matrix of system (3.31). From the above estimates it follows that is diagonally dominant and then invertible, where P=\text{diag}\left(\rho_{0}v_{0}\big{/}\varepsilon_{0},\,\gamma_{1},\,\ldots,\,\gamma_{m}\right). Hence is also invertible and is well defined.
Estimate (3.20) is a direct consequence of the following two claims.
Claim 1.
[TABLE]
and
[TABLE]
Claim 2.
[TABLE]
In fact, by the definition of in (3.28) we get
[TABLE]
Since (3.14) hold, by estimate (3.15) we conclude
[TABLE]
Using the definition of again and the fact that
[TABLE]
estimate (3.20) then follows from (2.7), (3.36), Claims and .
Proof of Claim 1. Let us begin with inequality (3.32). Consider four regions
[TABLE]
Observe first that, by (3.2), (3.3) and (3.5),
[TABLE]
In , by (2.30), (3.27) and (3.38),
[TABLE]
In , by (1.2), (3.21) and (3.27),
[TABLE]
Notice that, by (3.21)-(3.22),
[TABLE]
and then in , by (3.23),
[TABLE]
Moreover, |\nabla\eta_{p1}|=O\big{(}\varepsilon_{0}/(\rho_{0}v_{0})\big{)} and |\Delta\eta_{p1}|=O\big{(}\varepsilon_{0}^{2}/(\rho_{0}^{2}v_{0}^{2})\big{)}. By (2.30), (3.38), (3) and (3.42) we have that in ,
[TABLE]
In , by (1.2), (3.21), (3.27) and (3.38),
[TABLE]
For the estimates of these two terms, we decompose to some subregions:
[TABLE]
[TABLE]
Moreover, by (3.23) and (3.41),
[TABLE]
Then in ,
[TABLE]
In with all , by (2.28), (3.24) and (3.38),
[TABLE]
Finally in , by (3.21) and (3.27),
[TABLE]
Note that from the previous choice of the number we get that for any and any ,
[TABLE]
This combined with (2.32) gives
[TABLE]
In addition, , and
[TABLE]
Hence by (3.38), (3.46), (3.47) and (3.48), we find that in ,
[TABLE]
Combining (3.7), (3.39), (3.43), (3.44), (3) and (3.49), we readily conclude
[TABLE]
The inequalities in (3.33) are easy to establish as they are very similar to the consideration of inequality (3.32), so we leave the detailed proof for readers.
Proof of Claim 2. Let us prove the first two inequalities in (3.34). Testing (3.35) against and using estimates (3.36) and (3.37), we find
[TABLE]
where we have applied the following two inequalities:
[TABLE]
But estimate (3.30) and Claim imply
[TABLE]
Similarly, testing (3.35) against and using (3.30), (3.36), (3.37) and Claim , we can derive that
[TABLE]
We decompose
[TABLE]
[TABLE]
By (3.24), (3.44) and (3), we have
[TABLE]
By (3.48) and (3.49), we derive that
[TABLE]
Regarding the expression , by (3) we get
[TABLE]
Integrating by parts the first term and using estimates (2.30), (3.38) and (3.42) for the last term, we obtain
[TABLE]
By (2.14), (2.23), (3.2), (3.5), (3.22), (3.25) and (3.41), we conclude
[TABLE]
By (3.2), (3.5), (3.25) and (3.42) we find |\nabla\eta_{p1}|=O\big{(}\frac{\varepsilon_{0}}{\rho_{0}v_{0}}\big{)} and |\nabla\widehat{Z}_{p}|=O\big{(}\frac{\varepsilon_{0}^{2}}{R^{3+2\alpha}\rho_{0}^{2}v_{0}^{2}}\big{)} in . Furthermore,
[TABLE]
Substituting estimates (3)-(3.58) into (3.52), we conclude that for and large enough,
[TABLE]
According to (3.50), we need just to calculate for all . By the above estimates of and , we can easily prove that
[TABLE]
[TABLE]
and
[TABLE]
It remains to calculate the integral over . From (3.27) and an integration by parts we have
[TABLE]
Observe that
[TABLE]
By (2.28), (3.2), (3.5), (3.21), (3.22), (3.23) and (3.27) we can compute that for ,
[TABLE]
for ,
[TABLE]
and for ,
[TABLE]
These, together with the estimate of in (3.24), give
[TABLE]
[TABLE]
and
[TABLE]
Then
[TABLE]
By the above estimates, we readily have
[TABLE]
Inserting estimates (3.59) and (3.60) into (3.50), we get
[TABLE]
On the other hand, similar to the above arguments in (3.59)-(3.60), we can show that for and large enough,
[TABLE]
and
[TABLE]
These, together with (3) and (3.60), imply
[TABLE]
As a result, using linear algebra arguments, by (2.7), (3.61) and (3.64) we can prove Claim 2 for and , and then complete the proof by (3.30).
Step 5: Proof of Proposition 3.1. We begin by establishing the validity of the a priori estimate (3.8). Using estimate (3.20) and the fact that , we deduce
[TABLE]
So it suffices to estimate the values of the constants . Let us consider the cut-off function defined in (3.26). Multiplying (3.1) by and integrating by parts, we find
[TABLE]
Notice that
[TABLE]
For the estimate of the first term, we decompose to some subregions:
[TABLE]
[TABLE]
where . Notice that, by (2),
[TABLE]
uniformly in , and
[TABLE]
uniformly in with . By (2.23), (2.28), (2.30), (2.32) and (3.5) we have that in ,
[TABLE]
and in , by (3.67),
[TABLE]
and in , , by (3.68),
[TABLE]
and in ,
[TABLE]
Then
[TABLE]
On the other hand, since , we know that
[TABLE]
Moreover, if , by (3.2), (3.5) and (3.6),
[TABLE]
while if , by (3.68),
[TABLE]
As a consequence, substituting estimates (3.69)-(3.72) into (3.66), we find
[TABLE]
and then, by (2.23),
[TABLE]
Combing this estimate with (3.65), we conclude
[TABLE]
which proves (3.8).
Now, we consider the Hilbert space
[TABLE]
with the norm . Equation (3.1) is equivalent to find , such that
[TABLE]
By Fredholm’s alternative this is equivalent to the uniqueness of solutions to this problem, which in turn follows from estimate (3.8). ∎
The result of Proposition 3.1 implies that the unique solution of (3.1) defines a bounded linear map from the Banach space of all functions in for which , into .
Lemma 3.2. For any integer , the operator is differentiable with respect to the variables in , precisely for any and ,
[TABLE]
Proof.
Differentiating (3.1) with respect to , formally should satisfy
[TABLE]
where (still formally) . Furthermore, if we consider the constants defined as
[TABLE]
and set
[TABLE]
then we have
[TABLE]
where
[TABLE]
From Proposition 3.1 it follows that this equation has a unique solution and , and hence is well defined. Moreover, by (3.8) we get
[TABLE]
Now, to prove estimate (3.74), we first estimate . Notice that . Obviously, by (2.28), (2.30), (2.32) and (3.7) we find . On the other hand, similar to the proof of Lemma 2.1, by (2.14)-(2.15) we can compute that
[TABLE]
uniformly in . Furthermore, by (2.4), (2.8), (2.14), (2.15), (2.23), (3.2) and (3.5) we can directly check that
[TABLE]
This, together with the fact that uniformly on , immediately implies
[TABLE]
Next, by definitions (3.5)-(3.6), a straightforward computation gives
[TABLE]
Furthermore,
[TABLE]
Finally, by (3.8), (3.33), (3.73), (3.79) and (3.80), we obtain
[TABLE]
Inserting these into (3.75), we then prove (3.74). ∎
4. The nonlinear projected problem
In this section we solve the nonlinear projected problem: for any integer and any points , we find a function and scalars , , , such that
[TABLE]
where is as in (2.28), (2.30) and (2.32), and , are given by (2.21) and (2.35), respectively.
Proposition 4.1. Let be a positive integer. Then there exist constants and such that for any and any points , problem (4.1) admits a unique solution , and scalars , , , such that
[TABLE]
Furthermore, the map is , precisely for any and ,
[TABLE]
*where . *
Proof.
Let be the operator as defined in Proposition 3.1. Then solves (4.1) if and only if
[TABLE]
For a given number , let us consider the region
[TABLE]
Observe that, by (2), (2), (2.33) and (3.7),
[TABLE]
Moreover, by definition (2.35) of and Lagrange’s theorem we have that for , , ,
[TABLE]
[TABLE]
where is independent of and . Hence by (2.7), (2.14), (2.15), (2.23) and Proposition 3.1,
[TABLE]
This means that for all large enough, is a contraction on and thus a unique fixed point of exists in the region.
We now analyze the differentiability of the map . Assume for instance that the partial derivative exists. Then, formally
[TABLE]
[TABLE]
Observe that
[TABLE]
so that, by (3.78),
[TABLE]
Also, thanks to the expansion of in (3.77) , by (2), (2.28), (2.30) and (2.32) we can directly check that
[TABLE]
Hence by Proposition 3.1, we then prove
[TABLE]
The above computation can be made rigorous by using the implicit function theorem and the fixed point representation (4.4) which guarantees regularity of . ∎
5. The reduced problem: A maximization procedure
In this section we study a maximization problem involving the variational reduction. Let us consider the energy function associated to problem (1.4), namely
[TABLE]
For any integer , we take its finite dimensional restriction
[TABLE]
where is our approximate solution defined in (2.8) and , , with the unique solution to problem (4.1) given by Proposition 4.1. Define
[TABLE]
From the results obtained in Proposition 4.1 and the definition of function we have clearly that for any integer , the map is of class and then this maximization problem has a solution over .
Proposition 5.1. For any integer and any large enough, the maximization problem
[TABLE]
*has a solution , i.e., the interior of . *
Proof.
The proof of this result consists of three steps which we state and prove next.
Step 1: With the choices for the parameters and , , respectively given by (2.12) and (2.13), let us prove that the following expansion holds
[TABLE]
uniformly for all points and for all large enough.
Observe first that by (2.8) and (2.9),
[TABLE]
Let us analyze the behavior of the first term. By (2.4), (2.5) and (2.10) we get
[TABLE]
Making the change of variables , we can derive that
[TABLE]
where . Note that
[TABLE]
and
[TABLE]
Then
[TABLE]
For the second term of (5), by (2.4), (2.5), (2.11) and the change of variables we have that for any ,
[TABLE]
As for the last term of (5), by (2.4), (2.5), (2.11) and the change of variables we observe that for any ,
[TABLE]
where . Then for all ,
[TABLE]
On the other hand, by (2.18), (2.19), (2.20) and the change of variables , we obtain
[TABLE]
By (2.28), (2.30) and (2.32) we obtain
[TABLE]
and
[TABLE]
and for any ,
[TABLE]
Then
[TABLE]
Hence by (5.1), (5)-(5.10) we conclude that
[TABLE]
which, together with the definitions of , in (2.7) and the choices of , in (2.12)-(2.13), implies that expansion (5.5) holds.
Step 2: For any integer and any large enough, let us claim that the following expansion holds
[TABLE]
uniformly on points . Indeed, set
[TABLE]
[TABLE]
Using , a Taylor expansion and an integration by parts, we give
[TABLE]
Thanks to \|\phi_{\xi^{\prime}}\|_{L^{\infty}(\Omega_{t})}\leq Ct\max\big{\{}(\rho_{0}v_{0})^{\min\{1,2(\alpha-\hat{\alpha})\}}t^{\beta},\,\varepsilon_{0}\gamma_{1}t^{\beta},\,\ldots,\,\varepsilon_{0}\gamma_{m}t^{\beta},\,\|e^{-\frac{1}{2}t\phi_{1}}\|_{L^{\infty}(\Omega_{t})}\big{\}} and the estimates in Lemma and Proposition , we have readily
[TABLE]
The continuity in of the above expression is inherited from that of in the norm.
Step 3: Proof of Proposition 5.1. Let be the maximizer of over . We need to prove that belongs to the interior of . First, we obtain a lower bound for over . Let us fix the point as a strict local maximum point of in and set
[TABLE]
where is a -regular polygon in . Clearly, because and . By (5.5) and (5.11) we find
[TABLE]
Next, we suppose . Then there exist three possibilities:
C1. There exists an such that ;
C2. There exist indices , , such that ;
C3. There exists an such that .
For the first case, we have
[TABLE]
which contradicts to (5). For the second case, we have
[TABLE]
For the last case, we have
[TABLE]
Combining (5.15)-(5.16) with (5), we give
[TABLE]
which is impossible by the choice of in (2.3). ∎
6. Proof of Theorem 1.1
Proof of Theorem 1.1. According to Proposition 4.1, we have that for any integer , any points and any large enough, there exists a function such that
[TABLE]
for some coefficients , , . Therefore, in order to construct a solution to problem (2.17) and hence to the original problem (1.4), we need to adjust in such that the above coefficients satisfy
[TABLE]
On the other hand, from Proposition 5.1, there is a that achieves the maximum for the maximization problem in Proposition 5.1. Let . Then we have
[TABLE]
Notice that by (5.1), (5.2) and (5.12),
[TABLE]
Then for all and ,
[TABLE]
Since \partial_{\xi^{\prime}_{kl}}V(\xi^{\prime}_{t})(y)=Z_{kl}(y)+O\big{(}\varepsilon_{0}t^{\beta}\big{)} and \|\partial_{\xi^{\prime}_{kl}}\phi_{\xi^{\prime}_{t}}\|_{L^{\infty}(\Omega_{t})}\leq Ct^{2}\max\big{\{}(\rho_{0}v_{0})^{\min\{1,2(\alpha-\hat{\alpha})\}}t^{\beta},\varepsilon_{0}\gamma_{1}t^{\beta},\ldots,\varepsilon_{0}\gamma_{m}t^{\beta},\\ \|e^{-\frac{1}{2}t\phi_{1}}\|_{L^{\infty}(\Omega_{t})}\big{\}}, by (2.7), (2.14), (2.15) and (2.23) we get the validity of a system of equations of the form
[TABLE]
Note that
[TABLE]
Hence the coefficient matrix of system (6.3) is strictly diagonal dominant and then for all , . As a consequence, we obtain a solution to problem (1.4) of the form with the qualitative properties as predicted in Theorem 1.1.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A. Ambrosetti, G. Prodi, On the inversion of some differentiable mappings with singularities between Banach spaces, Ann. Mat. Pura Appl. 93 (1973) 231–247.
- 2[2] A.C. Lazer, P.J. Mc Kenna, On the number of solutions of a nonlinear Dirichlet problem, J. Math. Anal. Appl. 84 (1981) 282–294.
- 3[3] M. del Pino, C. Muñoz, The two-dimensional Lazer-Mckenna conjecture for an exponential nonlinearity, J. Differential Equations 231 (2006) 108–134.
- 4[4] H. Brezis, F. Merle, Uniform estimates and blow-up behavior for solutions of − Δ u = V ( x ) e u Δ 𝑢 𝑉 𝑥 superscript 𝑒 𝑢 -\Delta u=V(x)e^{u} in two dimensions, Comm. Partial Differential Equations 16 (1991) 1223–1253.
- 5[5] Y. Li, I. Shafrir, Blow-up analysis for solutions of − Δ u = V e u Δ 𝑢 𝑉 superscript 𝑒 𝑢 -\Delta u=Ve^{u} in dimension two, Indiana Univ. Math. J. 43 (1994) 1255–1270.
- 6[6] L. Ma, J. Wei, Convergence for a Liouville equation, Comment. Math. Helv. 76 (2001) 506–514.
- 7[7] K. Nagasaki, T. Suzuki, Asymptotic analysis for two-dimensional elliptic eigenvalue problems with exponentially dominated nonlinearities, Asymptotic Anal. 3 (1990) 173–188.
- 8[8] S. Baraket, F. Parcard, Construction of singular limits for a semilinear elliptic equation in dimension 2, Calc. Var. Partial Differential Equations 6 (1998) 1–38.
