Submitted:
07 February 2024
Posted:
07 February 2024
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Abstract
In this paper, we study the constrained minimization problem for an energy functional which is related to the following Kirchhoff type equation
\begin{equation*}
-\Big(\eta+b\big(\int_{\R^{3}}|\nabla u|^{2}dx\big)^{s}\Big)\Delta u+V(x)u=\mu u +\lambda|u|^{p}u,\end{equation*}
where \(b\) is a positive constant, parameters \(\eta\geq0, \lambda>0\), exponents \(s>0\), $0
Keywords:
Kirchhoff type energy functional
; constraint minimizer
; limit behavior
; varying nonlocal term
MSC: 32J20; 35J60; 35Q40; 46N50
1. Introduction and Main Results
We consider the following Kirchhoff type equation with a varying nonlocal term
where is a constant, parameters , exponents , and is a Lagrange multiplier. The in (1.1) arises as a varying nonlocal term.
In recent years, there many articles involved in different type of varying nonlocal problems similar to (1.1) such as the model
which mainly studied the existence of solutions by using variational theory and analytical methods, (cf.[3,4,20,22]). Especially for in (1.1), the Kirchhoff type constrained minimization problems are related to
which have attracted a lot of mathematicians to study their existence, non-existence, uniqueness and limit behavior of constraint minimizers, etc, (cf.[7,14,15,17,18,21,25,26,27,29]). Coincidentally for and replaced by , the (1.1) comes from an interesting physical context, which is associated with the well known Bose-Einstein condensates(BEC). The mathematical theory study of BEC can be described by a Gross-Pitaevskii(GP) functional, which has been associated with the elliptic equation
see [1,5,9,10,11,12,19,23] and the related literatures. In these papers, the researchers are keen on exploring the existence, mass concentration phenomenon, uniqueness and numerical analysis of the ground state solutions for GP functional.
Inspired by the above articles, the aim of the present paper is to study the Kirchhoff type equation (1.1) with a varying nonlocal term. The constrained minimization problem associated with (1.1) is defined by
where fulfills
The above in (1.2) is restricted to meet
where satisfies
as well as with the norm . To state our main results, we assume that the in (1.1) satisfies
Next, we introduce an elliptic equation such as
In fact, up to the translations, the (1.5) has a unique positive radially symmetric solution (cf.[16]). Using (1.5), we can deduce that
Recall also from [6, Proposition 4.1] that has the exponential decay property
At last, we give a Gagliardo-Nirenberg(G-N) type inequality (cf.[24]) such as
where is the unique positive solution of (1.5).
According to above results, the existence and nonexistence on constraint minimizers for are established as follows. Before this, we denote a critical constant , where Q is the unique positive solution of (1.5) for .
Theorem 1.1.
For , and holds, then exists at least one minimizer for or . The has no minimizer for or .
Theorem 1.2.
For , , and holds, then exists at least one minimizer if . Moreover, has no minimizer for
Remark that the similar conclusions appear elsewhere for studying different type of Kirchhoff equations, see [8,15,27,29]. For convenience, we give a detailed proof of Th1.1 and Th1.2 in Sec.2. In view of the above Theorems, one knows that for , and , the exists at least minimizer. However, for , and , the admits no minimizer. A nature question is what happen to constraint minimizers of when tends to 0 from right?
Suppose that is a minimizer for , then one can restrict due to for any . At the same time, we always assume that admits a positive minimizer by applying the strong maximum principle to (1.1). In truth, for any positive sequence with as , one can verify that the positive constraint minimizers satisfy as (see Sec.3), that is, the minimizers arise blow up behavior as . In order to get more detailed limit behavior of constraint minimizers, some appropriate assumptions on are necessary. For this purpose, we assume that is a form of polynomial function, and admits isolated minima. More narrowly, there exist distinct points , numbers and constant fulfilling
here exists for all . For convenience, we denote
where satisfies (1.5) for . Moreover, let
and the set of flattest global minima for is denoted by
In light of Th1.1, Th1.2 and inspired by [8,15,19,29], for any positive sequence and set being the positive minimizers of , we next establish the following theorem on limit behavior of constraint minimizers for when and as .
Theorem 1.3.
Assume that and hold. For , and any positive sequence with as , define , then the following conclusions hold.
-
The has a unique local maximum satisfying and is a flattest global minimum of . Moreover, we have aswhere Q denotes the unique positive solution of (1.5) for .
- The fulfills as
- The least energy satisfies aswhere are stated by (1.10) and (1.12).
Notice that the in Th1.3 means as . Actually for and behaves the form of sinusoidal, ring-shaped, periodic and multi-well, the papers (cf.[11,12,23,28]) widely studied the mass concentration behavior of constrained minimizers. Particularly for , the authors in [8,15] also analyzed the limit behavior of minimizers when as or as . As described in Th1.3, our paper gets an interesting result on this topic when there involves a varying nonlocal term, and it thus enriches the study of such issues.
The present paper is structured as follows. Sec.2 shall establish the existence and nonexistence proof of constrained minimizers for when the parameters and exponents satisfy suitable range. For , and any positive sequence with as , in Sec.3 we plan to give the accurate energy estimation of , and then analyze the detailed limit behavior of positive constrained minimizers as .
2. Proof of Theorem 1.1 and Theorem 1.2
In this section, we shall give the proof of existence and non-existence on constraint minimizers for (1.2). Before this, one introduces the space compact embedding Theorem 2.1 in [2] such that
For convenience, we classify the proof of Th1.1 and Th1.2 as follows two cases.
Case 1 The existence proof of constraint minimizer.
Proof.
Under the assumption of Th1.1, for any , we deduce from G-N inequality (1.8) that for ,
For , similar to (2.2), one also derives that
Both and hold, the (2.2) and (2.3) yield a fact that for any sequence , the is bounded uniformly from below. Hence, there admits a minimization sequence fulfilling
In truth, one can get from (2.2) and (2.3) that bounded in . Applying (2.1), there exists a , and has a subsequence such that as
Using the weak lower semi-continuity, we get
The above results give that
which then yields . Hence, is a minimizer for .
Under the assumption of Th1.2, for any , one also derives from (1.8) that for and that
If , repeating the above procedures, one claims that has a minimizer. □
Case 2 The nonexistence proof of constraint minimizer.
Proof.
The process comes true by establishing energy estimation for . To get this goal, choosing a test function such as
where Q fulfills (1.5) for , and satisfies . The function in (2.8) is chosen as
Notice that in (2.8) makes sure . It then deduces from (1.7) and (2.8) that
where means for any . One can attain from (1.6) that as
which yields that for any , the as . For and , we derive from (2.11) that
which also deduces that for , the as . Hence, for any , if either or , holds, the has no minimizer.
For and , we obtain from (2.12) that
One then decares that has no minimizer due to for .
For and , one can get from (2.2) and (2.12) that . We next argue that admits no minimizer by establishing a contradiction. If this is not true, suppose that is a minimizer of . As stated in Sec.1, we may assume that is positive. Since and , the G-N inequality (1.8) then yields that
where the equality holds only for , and Q is the unique positive solution of (1.5) for . One further obtains from (2.2) that satisfies
However, the equalities (2.14) and (2.15) cannot be held at the same time because the first one presents a fact that has no compact support, and the second one needs to possess a compact support. Thus, one claims that has no minimizer. so far, the nonexistence proof of constraint minimizers is completed. □
3. Limit Behavior Analysis of Constraint Minimizers
In this section, for , and any positive sequence with as , we plan to analyze the limit behavior on minimizers for as . The proof process is achieved by constructing some indispensable lemmas, which are stated as follows.
Lemma 3.1.
Under the assumption of Th1.3, set and , then as , the and satisfies
Proof.
If are positive minimizers of (1.2), then satisfy
here denote Lagrange multipliers. Set
where On the contrary, we assume that as , then is bounded uniformly in . Similar to the proof of Th1.1 and Th1.2 in Sec.2, one asserts that there exists a and has a subsequence (still denoted by ) such that as
To get our result, one needs to prove that as . For this purpose, we choose a test function the same as (2.8). Based on (1.7) and (2.8)-(2.10), one calculates that
and
Since satisfies and , one obtains that as
It then follows from (1.6) and (3.5)-(3.7) that for and as
Taking into (3.8), it yields that as
The (3.9) together with (1.3) and (3.4) deduces that
which yields a fact that is a minimizer of . It is a contradiction since Th1.2 shows that has no minimizer. Thus, holds as .
By (3.3), we just have Since are minimizers of for any , one derives from (1.8) and (3.9) that as
which yields that as
It hence follows from (3.3) and (3.11) that as
which shows as
□
Assume that are positive minimizers of for any . Since , one has as . It thus yields that exists at least one local maximum, denoted by . Define a function
where is given in Lem3.1. We next establish the following lemma, which is related to convergence properties of and .
Lemma 3.2.
Under the assumption of Th1.3, set being a local maximum of and defined by (3.12), then we have
- (i)
- There exist a finite ball and a constant such that
- (ii)
- The is a unique maximum of and satisfies for some as . Further, the is a minimum of , that is, .
- (iii)
- The function satisfieswhere Q is the unique solution of (1.5) for .
Proof.
(i). By (3.2), we see that fulfills the elliptic equation
here are Lagrange multipliers. In truth, (1.2) and (3.2) give that
Repeating the proof of (3.10), one obtains that as
Combing (3.16), (3.17) and Lem3.1, one deduces from that , and then we have as
Since take local maxima at , and then get local maxima at . It thus yields from (3.15) and (3.21) that there exists a constant satisfying as
Furthermore, one obtains from (3.15) that
where . In view of the De Giorgi-Nash-Moser theory (cf.Theorem 4.1 in [13]), one decares that exist a finite ball and constant such that
It hence yields from (3.19) and (3.21) that there exists a constant satisfying
which shows (3.13) holding.
(ii) On the contrary, one may assume that as . By applying (3.22) and Fatou’s lemma, for any large constant , one has
which contradicts (3.17), and it hence shows that is bounded in . Taking a subsequence of if necessary (still denoted by ), there admits a such that as . In fact, one can claim that is a minimum of , that is . If not, repeating the proof of (3.23), it also yields a contradiction. Thus, we say that as and .
(iii) The Lem3.1 shows that sequence is bounded in , and under the sense of subsequence, there exists a such that as . Using (3.18) and passing weak limit to (3.15), one obtains that satisfies
where . By (3.13) and applying the strong maximum principle to (3.24), one has . Taking in (1.5), one knows that
Because (3.25) has a unique positive radially symmetric solution , and it hence deduces from (3.24) that
Similar to the procedure of Th1.1, one declares that as , strongly in . Using the standard elliptic regularity theory, we get from (3.15) that as
Applying the method in [10], one knows that the in (3.26), and 0 is the unique global maximum of . Therefore, behaves like
By (3.27), using the technique of proving Theorem 1.2 in [11], we know that is the unique global maximum of . □
To obtain more detailed description on limit behavior of constraint minimizers as , some precise energy estimation of as is necessary. Towards this aim, we begin with the upper bound estimation of , which is sated as the following lemma.
Lemma 3.3.
Assume that and holds. If and , then for any positive sequence with as , the satisfies as
where defined by (1.10) and (1.12).
Proof.
Choosing a test function the same as (2.8), it then deduces from (1.6)-(1.13) that there exist positive constants such that as
and there exist positive constants such that as
Since satisfies and , we derive that there exist positive constants such that as
where defined by (1.10) and (1.12). Combing (3.30), (3.31) and (3.32), we have
Taking , one deduces from (3.33) that as
which then gives (3.29). □
Proof
(Proof of Theorem 1.3.). According to the results of Lem3.1-Lem3.3, it remains to prove (1.15) and (1.16), which can be realized by establishing the precise lower energy estimation of as . To get this goal, we set being the positive minimizers of , being their unique global maxima, and we then define by (3.12). Using Lem3.2, one knows that for , choosing a subsequence if necessary (still stated by ), the and . In fact, we can go a step further, that is, we can come to the following conclusion.
where and denotes a flattest global minimum of . To get (3.34), we firstly claim that
If this is false, then we assume that as . It then follows from and (3.13) that for any large positive constant
Recall from G-N inequality (1.8), we also have for and
which together with (3.36) then gives
where is a arbitrarily large constant. However, this is a contradiction with the upper energy in Lem3.3. Hence, the (3.35) is holding. In truth, the upper energy of also compels that . If not, by repeating the proof process from (3.35) to (3.37), one still derives a contradiction. Thus, we complete the proof of (3.34).
Using (3.34) and similar to estimation of (3.36), one can deduce that there admits a such that
where given by (1.10) and (1.12). As a fact, the equality in (3.39) holds only for . One then calculates from (3.38) and (3.39) that
Due to the restriction of energy upper bound in Lem3.3, it yields that be the form of
which gives (1.15). Taking (3.41) into (3.40), one then derives that
which together with Lem3.3 yields that as
So far, we have finished the proof of Th1.3. □
Author Contributions
Z.X.C. and W.H.X. designed and drafted the manuscript. All participated in finalizing and approving the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding
The research was supported by National Nature Science Foundation of China (NSFC), grant number 11901500; Nanhu Scholars Program for Young Scholars of XYNU.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare that there is no conflicts of interest regarding the publication of this paper.
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