Higher order neck analysis of harmonic maps and its applications
Hao Yin

TL;DR
This paper refines estimates in the neck regions of harmonic maps during blow-up sequences, revealing the shape of the neck center and deriving related inequalities about nullity and index.
Contribution
It introduces new refined estimates in the neck region of harmonic maps, enabling detailed analysis of blow-up behavior and related spectral inequalities.
Findings
Refined estimates in the neck region during harmonic map blow-up
Identification of the shape of the neck center
Inequality relating nullity and index during blow-up
Abstract
In this paper, we prove some refined estimate in the neck region when a sequence of harmonic maps from surfaces blow up. The new estimate allows us to see the shape of the center of the neck region. As an application, we prove an inequality about the nullity and index when blow-up occurs.
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
Higher order neck analysis of harmonic maps and its applications
Hao Yin
Hao Yin, School of Mathematical Sciences, University of Science and Technology of China, Hefei, China
Abstract.
In this paper, we prove some refined estimate in the neck region when a sequence of harmonic maps from surfaces blow up. The new estimate allows us to see the shape of the center of the neck region. As an application, we prove an inequality about the nullity and index when blow-up occurs.
1. Introduction
Suppose that and are two closed Riemannian manifolds. For a map from to , the Dirichlet energy is defined to be
[TABLE]
The critical points of are called harmonic maps. When the dimension of is , this functional is conformally invariant and the theory of harmonic maps becomes more interesting. Among other things, there are the well known energy concentration and the bubbling phenomenon for a sequence of harmonic maps with uniformly bounded energy ([SU81]).
For simplicity, we restrict ourselves to the case that is the unit ball in with flat metric and assume that there is one and only one bubble. More precisely, let be a sequence of harmonic maps from to (isometrically embedded in ) with uniformly bounded energy, satisfying
(i) converges locally smoothly in to a limit map , which by the removable singularity theorem ([SU81]), can be extended to be a smooth harmonic map from to ;
(ii) there is a sequence going to zero such that converges locally smoothly to a bubble map ;
(iii) is the only bubble.
The classical energy identity (see [Jos91], [DT95], [Qin95], [Wan96]) and the no-neck theorem (see [PW93], [LW98], [QT97]) imply that
[TABLE]
and
[TABLE]
In fact, the proof gives more. Precisely, there exists some such that (in polar coordinates)
[TABLE]
where . As a consequence, there exists such that
[TABLE]
It makes sense to call (1) some uniform Hölder estimate of on the neck.
This paper studies the question: what more can we say about on the neck region? Our main result is in some sense the uniform estimate on the neck.
Theorem 1.1**.**
Suppose is a sequence of harmonic maps satisfying (i-iii). There exist uniformly bounded coefficients and such that for any , ,
[TABLE]
where is some function uniformly bounded by .
Moreover,
[TABLE]
The coefficients above are meaningful in an asymptotic sense. First, it is obvious that converges to , where the limit map and the bubble touch (by the no neck theorem). Second, the limit map has Taylor expansion at the origin
[TABLE]
Theorem 1.1 implies that and . Similarly, let . By the removable singularity theorem, is smooth at the origin so that we have
[TABLE]
Theorem 1.1 also implies that and .
Remark 1.2*.*
We do not have a precise interpretation for except (2), which is not enough to determine .
The proof of Theorem 1.1 is some neck version of elliptic regularity. The basic idea is to compare the solution of PDE with polynomials (see [Caf89], [CC95]). Here we adapt an approach in [GY18]. There is a key lemma in the argument (see Lemma 3.1) that improves the regularity by solving Poisson equations. An important observation here is that this result works on cylinders of unknown length uniformly.
As an application of Theorem 1.1, we discuss the geometry of the center part of the neck. Previously, we knew that on each segment of finite length, is close to a constant map uniformly, especially around the center of the neck . Now, with the help of Theorem 1.1, we can do a scale up to see more details of in this part.
Corollary 1.3**.**
Let be as in Theorem 1.1. Then the sequence
[TABLE]
converges smoothly locally on to
[TABLE]
where
[TABLE]
In case , the map is the result of a balance of influences from both sides of the neck. We may derive more consequences when ’s are weakly conformal, in addition to being harmonic map. Recall that weakly conformal harmonic maps are minimal immersions and that the limit of weakly conformal harmonic maps is a weakly conformal harmonic map. Hence, the limit map and the bubble map are weakly conformal. In particular,
[TABLE]
The conformality of puts some restrictions to the coefficients in (5).
Theorem 1.4**.**
Suppose that is a sequence of weakly conformal harmonic maps satisfying (i)-(iii) above. For the map given in Corollary 1.3, we have
[TABLE]
When , the equations (6), (7) and (8) imply that the tangent planes (if not degenerate) of the limit map and the bubble at the touching point coincide.
Corollary 1.5**.**
Assume that and . The planes spanned by and are the same (modulo orientation). Moreover, if , the orientations are opposite and if , one must have and for some positive , in which case the surface parametrized by (5) is the catenoid.
Our second application of Theorem 1.1 is an index inequality. Given a harmonic map , the nullity is defined to be the maximal number of linearly independent Jacobi fields along and the index, , is the dimension of the maximal subspaces on which the Hessian of is negatively definite. We refer to Section 2 for precise definitions. These quantities related to the second variation of the energy functional are important to applications (see [MM88]).
In this paper, we define
[TABLE]
We are interested in the change of NI when blow-up occurs. For simplicity, we state the theorem under the one bubble assumption as before.
Theorem 1.6**.**
Suppose that is a sequence of harmonic maps with uniformly bounded energy from a closed Riemannian surface to a closed Riemannian manifold . Assume that is the only energy concentration point and that in a coordinate neighborhood of , (i)-(iii) holds. Then
[TABLE]
and
[TABLE]
Here we regard as a harmonic map from to .
One should not expect equality in (9) and (10) in the general case. Even in the smooth limit case (no bubbling), we can find a sequence of harmonic maps with , but the smooth limit map has .
Remark 1.7*.*
While it is trivial to generalize the above statement to the multi-bubble case, we will have to include a contribution of even for a ghost bubble. The nullity of a constant map is the same with , which weakens the theorem. We shall address this issue in a forthcoming paper.
The paper is organized as follows. Section 2 contains some preliminary facts which we include for the convenience of the readers. In Section 3, we prove an important lemma which we use in Section 4 to prove Theorem 1.1. Section 5 is devoted to the proof of Theorem 1.6.
Acknowledgement*.*
The author would like to thank Professor Li Yuxiang for his comments. The research work is supported by NSFC 11471300.
2. Preliminaries
In this section, we collect a few known results and definitions.
2.1. Known neck analysis
Let be a sequence of harmonic maps satisfying (i)-(iii) in the introduction. The neck domain is denoted by . We have defined in the introduction
[TABLE]
Notice that we have omitted the subscript for . In the cylinder coordinates , where , the neck domain becomes
[TABLE]
and the definition of reads
[TABLE]
The proof of no neck theorem (see [LW98] and [QT97]) gives a small and such that
[TABLE]
for . Combining the above with the -regularity theorem, we obtain
[TABLE]
on for any and .
Definition 2.1**.**
A function on is said to be an if for any ,
[TABLE]
Due to (11), by setting , we have
[TABLE]
2.2. Second variation of harmonic maps
Suppose that and are two closed Riemannian manifold and is a harmonic map. A section of the pullback bundle is said to be a vector field along . If and are two vector fields along and is a 2-parameter variation of satisfying
[TABLE]
then the -index form, or the Hessian of is defined by
[TABLE]
When , the energy is conformal invariant and so is . Computation shows that
[TABLE]
where
[TABLE]
Here is the Riemann curvature tensor of ; is the induced connection of the bundle and is an operator that takes the trace with respect to . The operator is elliptic and self-adjoint so that we can talk about the eigenvalues and eigenfunctions. The index is defined to be the number of negative eigenvalues (counting multiplicity) and the nullity is defined to be the dimension of .
For the proof of Theorem 1.6, we shall study the elliptic equation
[TABLE]
We will derive apriori estimates of from the above equation, in which the metric and the map are considered as known coefficients. In order to be precise, we write down (15) in local coordinates.
Recall that the manifold is embedded in . Hence, is a -valued function, whose components are denoted by for . We also take local isothermal coordinates in a neighborhood of so that the metric is where . as a vector field along is regarded as a map into as well, satisfying the extra restriction
[TABLE]
Denote the projection map from to by . is a matrix smoothly depending on . We smoothly extend its definition to a neighborhood of in so that it makes sense to say . It is not hard to see that the following computation is independent of this choice of extension. With the help of , we have
[TABLE]
which we use to compute
[TABLE]
To see that this is an elliptic linear operator of , we use the fact that , or equivalently,
[TABLE]
for all .
We take two derivatives of (17) to get
[TABLE]
and
[TABLE]
Plugging (18) into (16), we obtain
[TABLE]
We end this section by an observation. Since is compact, , and all of their derivatives are bounded. If we work in a coordinate neighborhood satisfying
(1) ;
(2) and all partial derivatives of and are bounded by ,
then the elliptic estimate gives
[TABLE]
for a solution to the equation
[TABLE]
3. The key lemma on the cylinder
In this section, we give a proof of the following lemma, which is about the Poisson equation on long cylinders. It plays a key role in the proof of Theorem 1.1.
Recall that and are defined by
[TABLE]
and
[TABLE]
Denote the Laplace operator on cylinders by .
Lemma 3.1**.**
Suppose that is defined on with for some . Then we can find a solution such that
[TABLE]
Here depends on , but not on .
For a clear presentation, it is easier to prove the lemma on a cylinder centered at , namely, . More precisely, we prove
Lemma 3.2**.**
Suppose that is defined on with for some , where . Then we can find a solution such that
[TABLE]
Here depends on , but not on .
To see these two lemmas are equivalent, we consider a translation and notice that the statement of Lemma 3.1 remains unchanged with , except that now becomes
[TABLE]
It is only different from by a constant and we can always multiply both and by a constant without changing anything.
Assume without loss of generality that is an integer. We write
[TABLE]
for .
The following subsections are devoted to the proof of Lemma 3.2. In Section 3.1, we solve the Poisson equation with the right hand side , where is the characteristic function of . In Section 3.2, we prove a few estimates on the harmonic functions, which we use in Section 3.3 to modify the solution obtained in Section 3.1 and sum the modified solutions up to finish the proof.
3.1. The Poisson equation on cylinder
Let the infinite cylinder be denoted by . Suppose that is a smooth function supported in and . We are looking for a solution
[TABLE]
on with good estimate of .
Setting and , , (20) becomes
[TABLE]
Here and is supported in and uniformly bounded by . We then have a solution given by
[TABLE]
Since is compactly supported and uniformly bounded, it is not hard to show that
[TABLE]
for some universal constant . In terms of the cylinder coordinates , we have
[TABLE]
For each , let be the characteristic function of . Set and let be the solution (given above) to the equation
[TABLE]
Since , we have
[TABLE]
Notice that is supported in instead of , hence after a translation in -direction, (21) implies
[TABLE]
3.2. Harmonic function on cylinder
We are interested in a bounded harmonic function on a part of cylinder . It is well known that we have an expansion
[TABLE]
The next lemma gives estimates on these coefficients in terms of the norm of .
Lemma 3.3**.**
Suppose that and is a harmonic function on . If , then
[TABLE]
and
[TABLE]
Proof.
Consider . Then . By our assumption on the norm of , we have
[TABLE]
for any , from which the estimates for and follow. Similarly, setting , we have
[TABLE]
Again, the assumption on the norm of implies that for . In particular, we have
[TABLE]
which implies that
[TABLE]
Subtracting the two inequalities above, we have
[TABLE]
Our estimate for follows by noticing that and . The other estimates are proved similarly. ∎
Given the expansion (24) and any , we define
[TABLE]
for and
[TABLE]
for . A corollary of Lemma 3.3 is that there is a constant depending on , such that
[TABLE]
for .
We are also interested in the remainder
[TABLE]
Lemma 3.4**.**
Suppose that and is a harmonic function on satisfying . There exists some constant depending only on , not , such that
[TABLE]
Proof.
First, we claim that it suffices to prove
[TABLE]
By Lemma 3.3, for any , we have
[TABLE]
Therefore, for ,
[TABLE]
By summing (27) up for and noticing that , we obtain
[TABLE]
from which our claim follows.
For the proof of (26), we compute
[TABLE]
Direct computation shows
[TABLE]
In fact, for each , we have
[TABLE]
By comparing (28) with ODE and noticing the bound on (by (25)), we obtain
[TABLE]
Since is harmonic, the desired estimate (26) follows from (29) and the elliptic estimate. ∎
3.3. The proof of the key lemma
Recall that in Section 3.1, we have defined by solving the Poisson equation (22) on cylinder. If we could sum up these ’s, we could obtain a solution to (20). However, it seems that the sum is never smaller than . The idea is to modify by subtracting a harmonic function.
For , we simply set . In this case, (23) implies that
[TABLE]
For , by its definition, the function is harmonic on the cylinder with a uniform bound (see (23)). Let be the integer determined by . Set , which is estimated as follows.
- •
For , Lemma 3.4 (with ) implies that
[TABLE]
- •
For , the definition of and (23) imply that
[TABLE]
Now, set
[TABLE]
We claim that is the solution needed in Lemma 3.2. Since it is a finite sum, it is easy to see that solves the Poisson equation (20). It remains to check that .
The estimate for in (32) depends on . Hence, we discuss first the case . When and , Lemma 3.3 gives
[TABLE]
Using the fact that and , we have
[TABLE]
Combining (33) with (32), we get (for , and )
[TABLE]
Now we fix and sum up for , to get
[TABLE]
Here, we have used (30) for the first sum, (34) for the second one and (31) for the last one. This concludes the proof of Lemma 3.2 when .
When , Lemma 3.3 implies
[TABLE]
Combine this with (32), we get (for and and )
[TABLE]
We can now argue as in (35), except that we use (36) instead of (34) to estimate the second sum. More precisely,
[TABLE]
In fact, the last inequality above is equivalent to
[TABLE]
which, by setting , follows from the obvious fact
[TABLE]
This finishes the proof of Lemma 3.2.
4. neck analysis
In this section, we prove Theorem 1.1 and its corollaries.
4.1. Proof of Theorem 1.1
For simplicity, we omit the subscript and write for , for , etc.
Recall that there is a vector such that is for some (see (13) in Section 2). More precisely, there is a constant (independent of ) such that
[TABLE]
for .
Remark 4.1*.*
From now on, we shall use to denote constants that depends on . Hence, they will depend on the sequence of maps and the geometry of the target manifold, but not on . In this paper, we fix , so we allow them to depend on as well.
Since the second fundamental form is smooth, . By Definition 2.1, is still . Here is the gradient operator with respect to the cylinder metric. Hence, the right hand side of the harmonic map equation satisfies
[TABLE]
for , as long as .
Remark 4.2*.*
By Definition 2.1, when we say that a function is in , we mean there exist constants such that the inequalities in Definition 2.1 hold. In case necessary, we use an inequality as above to indicate that the constants involved depend on .
Lemma 3.1 gives a solution to the equation
[TABLE]
satisfying
[TABLE]
By the elliptic estimates for equation (37), is . Hence, there is a harmonic function on such that
[TABLE]
The norm of depends on the norm of and the norm of , which by Lemma 3.1 depends on the constants in the definition of .
Being a harmonic function, has an expansion discussed in Section 3.2. In particular, Lemma 3.3 gives estimates for the coefficients in the expansion. Since Lemma 3.3 is formulated for the cylinder , we now translate it into a version that works on .
Lemma 4.3**.**
Suppose that is a harmonic function on and . Then
[TABLE]
with
[TABLE]
and
[TABLE]
Here depends only on and , not on .
Set
[TABLE]
If , Lemma 3.4 implies that
[TABLE]
We claim that is so small that is absorbed into and hence . To see this, we use the Pohozaev identity of harmonic maps, i.e.
[TABLE]
By (39), the above equation implies that
[TABLE]
By the Young’s inequality, we have
[TABLE]
Since is a constant (independent of ), we may evaluate the above inequality at (the center of the neck) to see that . By the definition of ,
[TABLE]
on the neck. This proves the claim, which allows us to repeat the above argument (with in place of ) until becomes larger than . (In case , we take a slightly smaller and argue as in the case .)
If , Lemma 3.4 and Lemma 4.3 imply that
[TABLE]
where are bounded by constants independent of . The uniform bound for follows from (2) in Theorem 1.1, which will be proved in a minute. Assuming this, the uniform bound for follows from (38).
To conclude the proof of Theorem 1.1, it remains to show (2). By recycling the variable , we write () in the place of in (41).
By (41), we compute
[TABLE]
and
[TABLE]
Again, the Pohozaev identity (40) implies
[TABLE]
which is
[TABLE]
Since is , we may use the Young’s inequality again to see that , so that can be absorbed into . Therefore,
[TABLE]
Since is a constant, we may evaluate the above equation at to get (2).
4.2. The shape of the center of the neck
As a result of (1), the image of disappears when goes to infinity and goes to zero. That is exactly why this result is named ‘no neck theorem’. Now with the help of Theorem 1.1, we may consider a scaling of the target manifold, or a scaling of the Euclidean space (in which is embedded isometrically), to see the shape of the center part of the neck. More precisely, for any , we define for ,
[TABLE]
By Definition 2.1, if is , then satisfies
[TABLE]
for some constants . In what follows, we denote any function satisfying (42) by . For fixed and , when goes to and goes to zero, converges smoothly to zero.
Theorem 1.1 implies that on , we have
[TABLE]
where , , , and are uniformly bounded. Hence, by passing to a subsequence if necessary, we obtain a limit in topology as required in Corollary 1.3.
For the proof of Theorem 1.4, we assume (iv) are weakly conformal. Since are harmonic maps, they are (branched) minimal immersions. Being weakly conformal is a property that remains valid after scaling and passes on to the limit. Hence, the map in Corollary 1.3 is weakly conformal. Using this fact, we give the proof of Theorem 1.4 as follows.
Proof of Theorem 1.4.
For simplicity, we omit the subscript in the following computation. Recall that the limit of the center neck region is given by
[TABLE]
Direct computation gives
[TABLE]
Hence, we have
[TABLE]
and
[TABLE]
Being weakly conformal requires that for all , which implies that
[TABLE]
Bearing this in mind, we compute
[TABLE]
Hence, the conformality of further implies that
[TABLE]
This concludes the proof of Theorem 1.4. ∎
Remark 4.4*.*
(43), (44) and are nothing but the requirement that and are both weakly conformal.
Now, let’s turn to the proof of Corollary 1.5.
Recall that maps into the manifold , which is a submanifold of . After scaling and passing to the limit, maps into the tangent space of at , which we assume is . Hence, we may regard and as vectors in .
Since and the pairs and span two planes by the assumption of Corollary 1.5, it suffices to exclude the possibility that and span the whole . We argue by contradiction. If , then (6) implies that and hence (7) and (8) together imply that
[TABLE]
The equation (46) describes the relative position of two planes spanned by and respectively. The relative position is independent of the choice of orthonormal basis (with orientation) in the plane. Indeed, for any , if we set
[TABLE]
then it is straightforward to check that (46) holds with and replaced by and . The same applies to and .
Since , we know the two planes intersect in a line. By the discussion above, we may assume that by rotations and scaling. Together with , the first equation in (46) implies that
[TABLE]
which forces . Therefore, and this contradicts our assumption that span . This proved the first assertion in Corollary 1.5.
Remark 4.5*.*
We may also learn from the above proof that in case , and span planes with different orientation. This will be proved again below.
We now set up new coordinates on the plane so that and . Setting and , (7) and (8) becomes
[TABLE]
Recall that , which gives
[TABLE]
Case 1. (). (49) gives that , which implies that by (47). The orientation of the plane spanned by is given by the determinant
[TABLE]
which is opposite to the orientation given by .
Case 2. (). By , we have . When , and the orientations are opposite again; when , , the orientations are the same and and , which implies that (5) parametrizes a catenoid.
5. The index inequality
In this section, we prove Theorem 1.6. We prove (9) only and the proof of (10) is the same. The proof studies the limit of eigenfunctions of . As we know, the eigenfunctions depend on a choice of metric. Instead of a fixed metric, we construct a sequence of conformal metrics in the following subsection.
5.1. A special sequence of conformal metrics
Recall that both being a harmonic map and the -index(-nullity) of a harmonic map are conformal invariant. Hence, we may assume that is flat in a neighborhood of . Precisely, we assume that are isothermal coordinates near and in . We denote the polar coordinates associated to by and the radius ball centered at the origin by .
The bubble map can be regarded as a harmonic map from instead of . While the natural choice of metric on is either the flat metric or the spherical metric (the pull back of round metric by stereographic projection), it is convenient for us to use a modification (denoted by ) of the spherical metric on such that the geometry of a neighborhood of the infinity is that of a punctured flat disk (with the hole corresponding to the infinity). More precisely, we fix any smooth function satisfying
[TABLE]
and define
[TABLE]
where is the polar coordinates on .
Remark 5.1*.*
In fact, it suffices for us to have for . The idea that is related to a round sphere is not necessary for the proof.
Now let be the sequence in Theorem 1.6. In general, since is the only concentration point, there exist and such that
[TABLE]
converges locally smoothly to the bubble map (see (ii) in the introduction). For the sake of simplicity, we assume that for all . The loss of generality is small and the structure of the proof remains the same.
The key to the proof of Theorem 1.6 is a sequence of metrics associated to (or, , more precisely). For the definition of , we recall the standard catenoid metric
[TABLE]
or equivalently, by setting ,
[TABLE]
Aligning the center of the catenoid with the center of the neck by replacing in the above formula by and multiplying the metric by , we get
[TABLE]
Letting be a smooth function satisfying for and for , we define
[TABLE]
where maps to .
We now summarize some important properties of , which will be useful in the proof of Theorem 1.6. We start with an easier observation.
Lemma 5.2**.**
For any , we have, when ,
(1) converges to on ;
(2) converges to on ;
(3) The volume of with respect to satisfies
[TABLE]
for some universal constant .
Proof.
By (53), it suffices to check (1) on . In fact, converges to on , which follows from (52) and the fact that in and that for .
The proof of (2) follows from the claim that
[TABLE]
converges to on . To see this, we compute (by using (52))
[TABLE]
The claim is proved by taking in the above equation and comparing with (51) and (50).
By (52), we compute
[TABLE]
Hence, (3) is proved with . ∎
The next property of follows from the obvious fact that it is a catenoid metric in the region . It is well known that the mean value inequality holds on minimal surfaces, see Corollary 1.16 in [CM11] for example. Although we take an intrinsic point of view here, the mean value inequality carries over.
Lemma 5.3**.**
For any positive number , there is depending on but not such that if a nonnegative function satisfies
[TABLE]
then for sufficiently large ,
[TABLE]
Proof.
Consider a scaling of the standard catenoid in (denoted by ) parametrized by
[TABLE]
By definition (see (53)), is the induced metric and the equation (52) is the metric represented in coordinates where . By setting
[TABLE]
and
[TABLE]
we notice that and corresponds to the domain and respectively. It is elementary to compute that
[TABLE]
As a consequence, for sufficiently large and any , we have
[TABLE]
where means the Euclidean ball in . It then allows us to apply Corollary 1.16 of [CM11] to show the existence of depending only on such that
[TABLE]
Since is exactly the induced metric, our lemma follows. ∎
Here is another advantage of using .
Lemma 5.4**.**
There is a constant independent of such that is uniformly bounded in .
Proof.
The proof follows easily from Theorem 1.1. To see this, we switch to the cylinder coordinates , where . It follows from Theorem 1.1 that there is some constant depending only on the sequence but not such that
[TABLE]
for . On the other hand, (53) and (52) imply that for in the same range above,
[TABLE]
∎
5.2. The limit of eigenfunctions
Now, let’s prove Theorem 1.6. We give the proof of (9) only and the proof of (10) is similar. By taking a subsequence, we may assume
[TABLE]
Recall that the -index form is conformal invariant and the definition of the Jacobian operator does depend on a choice of metric on , for which we use constructed above. With respect to , there are nonpositive eigenvalues and eigenfunctions such that
[TABLE]
and these eigenfunctions are normalized so that
[TABLE]
Remark 5.5*.*
Here are sections of the pullback bundle . Recall that is embedded into so that are -valued functions. We hence regard as -valued functions that are perpendicular to the tangent space of at . We refer to Section 2.2 for details.
For the proof of Theorem 1.6, we study the limit of ’s. This requires several apriori bounds. The first one is a lower bound of the eigenvalues.
Lemma 5.6**.**
There is a constant depending on the sequence but not such that
[TABLE]
for and all .
Proof.
By the definition of eigenvalues, we have
[TABLE]
By (14),
[TABLE]
Using integration by parts and the fact that curvature of is bounded, we obtain
[TABLE]
The proof of the lemma then follows Lemma 5.4. ∎
We also have apriori estimates for .
Lemma 5.7**.**
There is a constant independent of such that
[TABLE]
and
[TABLE]
Remark 5.8*.*
Indeed, we have bounded, which will be clear in a minute.
Proof.
The proof of (58) follows from (57), Lemma 5.4 and the fact that .
Using (55), we compute
[TABLE]
for some independent of . Here, we have used Lemma 5.4 and the fact that . We can now apply Lemma 5.3 to conclude the proof of (59). ∎
Lemma 5.6 and Lemma 5.7 allow us to consider the limit of the pair for . As a first step, by taking subsequence, we assume that
[TABLE]
Keep in mind that the background metric also changes and fix some arbitrary small .
On , , and converge to , and respectively. Hence the coefficients of the following elliptic equation (see Section 2.2)
[TABLE]
are uniformly bounded by a constant depending on . Since , up to a subsequence, we assume that converges to , which is a vector field along . By the arbitrariness of , is defined on and is a solution to the equation
[TABLE]
Recall that both and are in fact smooth at . Lemma 5.7 implies that is a bounded weak solution to the above linear equation. The usual theory and the bootstrapping argument show that is smooth. Thus, we have found a smooth eigenfunction of corresponding to the eigenvalue .
On the other hand, we may consider the convergence of . More precisely, we study the scaling that is defined on . Notice that converges to on by Lemma 5.2 and converges to by the definition of the bubble. Due to the bound
[TABLE]
and a similar argument as above, we know that there is a limit vector field along , denoted by defined on , which satisfies
[TABLE]
Notice that in the above equation, is involved implicitly in the definition of . Moreover, can be regarded as a complete metric on such that is just with a point removed. Both and are smooth at this point. Hence, Lemma 5.7 again implies that this is a removable singularity of and we obtain a smooth eigenfunction of corresponding to the eigenvalue .
To finish the proof, we study the limit of (56). Using (3) of Lemma 5.2 and (59) of Lemma 5.7, we get (by sending and then )
[TABLE]
for . While () may not be linearly independent, the ranks of the semi-positive definite symmetric matrices
[TABLE]
are the dimensions of linear spaces spanned by and respectively, which is no larger than and . The proof of Theorem 1.6 now follows from the linear algebra theorem that because of (60).
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