Existence and stability of infinite time bubble towers in the energy critical heat equation
Manuel del Pino, Monica Musso, Juncheng Wei

TL;DR
This paper constructs solutions to the energy critical heat equation in high dimensions that develop multiple bubble towers at a single point, demonstrating complex blow-up behavior and stability under certain perturbations.
Contribution
It introduces explicit initial conditions leading to multi-bubble blow-up solutions with a detailed asymptotic structure and stability analysis in high-dimensional energy critical heat equations.
Findings
Existence of solutions with multiple bubble towers at a single point.
Asymptotic description of bubble scales and signs over time.
Stability of these solutions under specific initial perturbations.
Abstract
We consider the energy critical heat equation in for which corresponds to the -gradient flow of the Sobolev-critical energy Given any we find an initial condition that leads to sign-changing solutions with {\em multiple blow-up at a single point} (tower of bubbles) as . It has the form of a superposition with alternate signs of singularly scaled {\em Aubin-Talenti solitons}, where is the…
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Existence and stability of infinite time bubble towers in the energy critical heat equation
Manuel del Pino
Department of Mathematical Sciences University of Bath, Bath BA2 7AY, United Kingdom
and Departamento de Ingeniería Matemática-CMM Universidad de Chile, Santiago 837-0456, Chile
,
Monica Musso
Department of Mathematical Sciences University of Bath, Bath BA2 7AY, United Kingdom
and
Juncheng Wei
Department of Mathematics University of British Columbia, Vancouver, BC V6T 1Z2, Canada
Abstract.
We consider the energy critical heat equation in for
[TABLE]
which corresponds to the -gradient flow of the Sobolev-critical energy
[TABLE]
Given any we find an initial condition that leads to sign-changing solutions with multiple blow-up at a single point (tower of bubbles) as . It has the form of a superposition with alternate signs of singularly scaled Aubin-Talenti solitons,
[TABLE]
where is the standard soliton and
[TABLE]
Letting the Dirac mass, we have energy concentration of the form
[TABLE]
where . The initial condition can be chosen radial and compactly supported. We establish the codimension stability of this phenomenon for perturbations of the initial condition that have space decay , , which yields finite energy of the solution.
1. Introduction
This paper deals with the analysis of solutions that exhibit infinite time blow-up in the energy critical heat equation
[TABLE]
where and is the critical Sobolev exponent . We are interested in solutions globally defined in time such that
[TABLE]
The energy functional associated to (1.1) is the functional
[TABLE]
which represents a Lyapunov functional for (1.1) in the sense that is decreasing. In fact for a solution globally defined in time we must have for all and hence the value exists and it is nonnegative.
The behavior at infinity for finite energy solutions is of course connected to steady states, namely solutions of the Yamabe equation
[TABLE]
as is along sequences , of Palais-Smale type for the energy . An application of the classical Struwe’s profile decomposition [49] (in a form given in [22]) tells us that passing to a subsequence, there are finite energy solutions , …, of (1.2), positive scalars and points such that for ,
[TABLE]
and
[TABLE]
This information is vague, since no information can be directly drawn from the centers and the scaling parameters. Even worse, the steady states could in principle depend on the particular sequence chosen. It is therefore a natural question to understand in which precise ways a profile decomposition like (1.3) can take place as well as its stability properties.
The purpose of this paper is to exhibit a family of solution whose soliton resolution is made out of least energy steady states, all centered at a single point, thus exhibiting multiple blow-up at distinct rates in the form of a “tower of bubbles”. The solutions we build here are presumably the unique soliton resolutions possible in the radial case, but this is not known. We analyze stablity of this phenomenon, establishing its universality under small finite energy perturbations.
We recall that all positive entire solutions of the equation are given by the family of Aubin-Talenti solitons
[TABLE]
where is the standard bubble soliton
[TABLE]
The main characteristic of the critical exponent is that the energy functional is invariant under the scalings . In particular we have that . The functions are steady states of (1.1). In fact are precisely the least energy nontrivial solutions of (1.2). The only radial solutions of (1.2) are given by the functions . In particular for a radially symmetric solution of (1.1), decomposition (1.3) would read as a “tower of bubbles” of the form
[TABLE]
where and . In fact, H. Matano and F. Merle have obtained that in (1.6) signs are alternate: either for all or for all [37].
In this paper we construct for each given a solution of (1.1) with profile decomposition (1.6) and . and analyze its stability in the class of all non-radial functions.
Theorem 1**.**
Let , . There exists a radially symmetric initial condition such that the solution of Problem blows-up in infinite time exactly at [math] with a profile of the form
[TABLE]
and for certain positive numbers , we have
[TABLE]
where
[TABLE]
Radial symmetry is not necessary in our construction. In fact, a by-product of the proof is a codimension -stability result: the bubble-tower phenomenon persists for initial data chosen in a codimension -manifold of finite-energy perturbations. Let be the radial initial condition for the solution in Theorem 1. There exist smooth, compactly supported radial functions such that the following property holds.
Corollary 1**.**
Let . Then for any sufficiently small and any -symmetric function function such that
[TABLE]
there exist scalars and a point with , such that the solution of problem with initial condition
[TABLE]
is globally defined in time and has the expansion where is as in .
Thus in order for a small perturbation of to lead to a -bubble tower as it should satisfy the scalar constraints . These constraints define -functionals in the natural topology for with linearly independent differentials at , and hence a local manifold with codimension (see Remark 5.1). Condition in (1.9) is sharp to obtain finite energy of the initial condition (1.10), namely . (Finite-time blow-up is expected when . See [18].)
Theorem 1 for is actually trivial, just taking
[TABLE]
We observe that corollary 1 essentially recovers the 1-codimensional stability of steady states in the energy space established for in [3].
The formal analysis in [18] yields that no infinite time blow-up of positive solutions of (1.1) should be present in dimensions or higher, while it should be possible for . We rigorously established this for in [9]. Blow-up by bubbling in finite time for (1.1) was formally analyzed in [19] and rigorous constructions achieved in [48, 10]. Global unbounded solutions like in Theorem 1 are regarded as “threshold solutions” for the dynamics of (1.1). We refer to [18, 43, 44, 45] and references therein.
The solutions built in this paper seem to be the first examples of multiple blow-up at a single point in Problem (1.1). Related phenomena has been detected in the elliptic Brezis-Nirenberg problem in a ball. See [25, 26] and also [12, 21, 42] for multiple bubbling in the slightly supercritical case. In the parabolic critical setting a construction of ancient solutions with multiple blow-up backwards in time for the Yamabe flow was achieved in [7].
Blow-up by bubbling (time dependent, energy invariant, asymptotically singular scalings of steady states) is a phenomenon that arises in various problems of parabolic and dispersive nature. This has been an intensively studied topic in the harmonic map flow [36] and critical heat equations [19, 10, 39, 40, 45]. Profile decompositions of the type (1.3) are well-known to arise in dispersive contexts such as the energy critical wave equation [1, 14, 15, 16, 32]. The actual classification problem is known as the soliton resolution conjecture, see [6, 17, 35, 47, 50]. See also [13, 31, 34, 33, 38, 46] for related results. Constructions of two-bubble solutions in wave and Schrödinger energy critical equations under radial symmetry have been recently achieved in [27, 28, 29, 30].
The method of this paper is close in spirit to the analysis in the works [5, 8, 9, 10, 11], where the inner-outer gluing method is employed. That approach consists of reducing the original problem to solving a basically uncoupled system, which depends in subtle ways on the parameter choices (which are governed by relatively simple ODE systems). The new challenge in this paper is to deal with drastic differences in blow-up rates at the same place. A novel topology for both inner and outer problems is introduced. See the norms (4.15) and (5.23) below. The analysis of “bubble towers” in this paper may be useful in energy critical geometric equations such as the harmonic map flow [36, 51, 52] and also in dispersive settings like those mentioned above.
Finally, we mention that the problem of blow-up in finite or infinite time for more general in (1.1) is a classical subject after the seminal work by Fujita [20]. Various different scenarios have been discovered or discarded in the supercritical case. See for instance [2, 4, 11, 23, 24, 40, 41] and the book [45].
The rest of this paper will be devoted to the proofs of the above results. We will simultaneously prove Theorem 1 and Corollary 1. In §2 we will build a sufficiently accurate first approximation for the solution and estimate the error of approximation. In §3 we formulate an ansatz for the solution and the inner-outer gluing system for its unknown. In §4 we discuss the necessary linear theories, and finally solve the problem by means of a fixed point argument in §5.
Throughout this paper, will denote a smooth cut-off function such that
[TABLE]
and, for a set , will denote the characteristic function defined as
[TABLE]
2. A first approximation and the ansatz
In what follows we write Problem (1.1) in the equivalent form
[TABLE]
where
[TABLE]
and the initial time is left as a parameter which will be later on taken sufficiently large. The difference is just convenient cosmetics, since then the function will solve the original problem (1.1). We thus look for a solution of (2.1) which looks like a tower of bubbles of the form (1.7) centered at as .
Let us consider , positive functions
[TABLE]
which will later be chosen, such that as
[TABLE]
Let us also consider points , such that as
[TABLE]
Let us observe that these assumptions on and imply that
[TABLE]
a fact that will be used later on. We denote in what follows
[TABLE]
Let us set with as in (1.11). Consistently with (1.7), we write
[TABLE]
where
[TABLE]
and is given by (1.5). We will get an accurate first approximation to a solution of (2.1) of the form that reduces the part of the error created by the interaction of the bubbles and , . To get the correction we will need to fix the parameters at main order around certain explicit values.
Let us consider the geometric averages
[TABLE]
and introduce the cut-off functions
[TABLE]
We observe that they have the property that
[TABLE]
with the convention . We look for a correction of the form
[TABLE]
where
[TABLE]
for certain functions defined in entire which we will suitably determine. Let us write
[TABLE]
where
[TABLE]
Using the homogeneity of the function , we observe that
[TABLE]
where
[TABLE]
We decompose in different regions defined by the cut-off functions introduced in (2.5) as follows
[TABLE]
where
[TABLE]
with
[TABLE]
Next we write using the form of in (2.6) as follows
[TABLE]
Replacing (2.8), (2.9), (2.11) into (2.7), and reorganizing properly the terms, we obtain
[TABLE]
where and are defined respectively in (2.10) and (2.8). The functions will be chosen to eliminate at main order the terms in the first line of (2.12), after conveniently restricting the range of variation of and ,
[TABLE]
where The elliptic equation (for a radially symmetric function )
[TABLE]
where
[TABLE]
has a solution with if and only if satisfies the solvability condition
[TABLE]
The latter conditions hold if the parameters satisfy the following relations:
[TABLE]
where
[TABLE]
We let be the solution of (2.15) in given by
[TABLE]
where
[TABLE]
and the numbers are determined by the recursive relations
[TABLE]
From (2.15), we see that setting
[TABLE]
we have
[TABLE]
Since , there exists a radially symmetric solution to the equation
[TABLE]
such that as . Indeed, writing with some abuse of notation the above equation becomes
[TABLE]
We observe that and that there is a second linearly independent with , with as and as , which we can choose so that the variation of parameters formula
[TABLE]
gives a solution of (2.18). Since the above solution is regular at the origin and satisfies as .
Then we define as
[TABLE]
Thus solves equation (2.14).
In what follows we let the parameters in (2.2) have the form or
[TABLE]
where the parameters to be determined satisfy for some small and fixed
[TABLE]
Condition (2.22) implies
[TABLE]
We will also assume that the points in (2.3) satisfy
[TABLE]
It is convenient to write
[TABLE]
We observe that for some positive number we have
[TABLE]
With these choices, we have that . The expression in (2.13) can be decomposed as
[TABLE]
where for
[TABLE]
with this choice of , we observe that the first term in (2.10) takes the more explicit form
[TABLE]
Define
[TABLE]
We define our approximate solution to be given by as
[TABLE]
where is defined by (2.4) and has the form (2.6), with defined by (2.20), and defined by (2.21) and (2.17).
3. The inner-outer gluing system
We consider the approximation in (2.25) built in the previous section and want to find a solution of equation (2.1) in the form . The problem becomes
[TABLE]
where
[TABLE]
the function is an initial condition to be determined, and in (2.1) we have .
We consider the cut-off functions , defined as
[TABLE]
We observe that
[TABLE]
and
[TABLE]
We will in addition choose an to be a -dependent, slowly growing function, say
[TABLE]
where will be later on fixed sufficiently small.
We consider functions defined for and a function defined in . We look for a solution of (3.1) of the form
[TABLE]
where
[TABLE]
Let us substitute given by into equation (3.1). We get
[TABLE]
Here we denote for ,
[TABLE]
where is the operator defined in (2.23) and (2.24).
We will have that if the following system of equations is satisfied.
[TABLE]
[TABLE]
In the next sections we will find a solution to this system with the appropriate size. We will be able to do that only choosing properly the parameters and the points . We shall formulate this problem creating a system involving the parameters as a part of the unknowns.
4. The linear outer and inner problems
In order to solve system (3.6)-(3.7), in this section we find inverses and corresponding estimates for their main linear parts.
4.1. The linear outer problem
In this section we consider the issue of finding estimates through barriers for the unique solution of
[TABLE]
given by Duhamel’s formula
[TABLE]
where . The class of right hand sides that we want consider in this section are those needed to solve the outer problem. We begin with a class of right hand sides that are better expressed in selfsimilar form. Let us consider the function
[TABLE]
where . We assume that for a positive function we have
[TABLE]
Lemma 4.1**.**
There exists a constant such that for all in equation that satisfies and the solution given by we have that
- (1)
If is compactly supported then
[TABLE] 2. (2)
If for some we have then
[TABLE]
Proof.
We look for a supersolution of problem (4.1), for satisfying (4.3) of the form
[TABLE]
The differential inequality
[TABLE]
is equivalent to the following relation for
[TABLE]
where
[TABLE]
Let us assume that and that is compactly supported. For the following function is an exact solution.
[TABLE]
This is also a positive supersolution to equation (4.4). Inequality (1) then immediately follows.
Let us now assume that and choose as a supersolution for all sufficiently large a function of the form for a large enough large . In fact for we will have for . If we consider the usual smooth cut-off function we have then that
[TABLE]
will satisfy the differential inequality in case that
[TABLE]
where the function is compactly supported. Using (1) we then find a positive supersolution of with a Gaussian decay. From here and (4.5), relation (2) readily follows. ∎
Next we consider a class of right hand sides which satisfy (4.3) for a class of functions which are not of self-similar form.
Let us consider a positive function such that for some
[TABLE]
and a point such that
[TABLE]
For numbers and we consider the function given by
[TABLE]
We consider again functions with
[TABLE]
and find suitable barriers for (4.1) dependent on whether or .
Lemma 4.2**.**
Let us assume that . There exists a such that for all satisfying with given by , the solution of given by satisfies the inequality
[TABLE]
where and setting , we write
[TABLE]
Moreover, we have the following local estimate on the gradient
[TABLE]
Proof.
We need to find a positive supersolution to
[TABLE]
Let us consider the radial solution of the equation
[TABLE]
given by the formula
[TABLE]
Clearly we have
[TABLE]
where . Let us assume first . With no loss of generality we take for an arbitrarily small, fixed . Let us define
[TABLE]
and compute for , using assumptions (4.6),
[TABLE]
Reducing the value of if necessary, we get that the above quantity is negative provided that , with an arbitrarily small . Now, for we have
[TABLE]
Now, we write . Then relation (4.9) amounts to finding a positive satisfying
[TABLE]
for a certain smooth, compactly supported . Then Lemma 4.1 provides a positive supersolution of the type
[TABLE]
The proof is concluded in the case . The proof for is the same, in fact slightly simpler since we can directly take in the above argument .
To get the local estimate for the gradient, we write , with , and observe that
[TABLE]
We have already established that
[TABLE]
Standard parabolic estimates give, for , for fixed ,
[TABLE]
In the original variables, we get for ,
[TABLE]
∎
We apply the results above to derive estimates of the solution of (4.1) for a right hand side controlled by several different weights, that are designed ad-hoc to treat the outer problem (3.7). Let us fix , and with
[TABLE]
and define the following weights:
[TABLE]
and for ,
[TABLE]
[TABLE]
and
[TABLE]
We claim that the following estimates hold
Proposition 4.1**.**
Let us consider and as in and . There exists a such that:
- (1)
If then
[TABLE] 2. (2)
If for then
[TABLE] 3. (3)
If for then
[TABLE] 4. (4)
If then
[TABLE]
Proof.
Claim (4) directly follows from Lemma 4.1. We also see that Claims (1) and (3) follow from Lemma 4.2. It only remains to prove Claim (2). Let us write
[TABLE]
where . We claim that the following estimate holds: there is a positive supersolution of
[TABLE]
such that
[TABLE]
To prove this, we consider first the problem
[TABLE]
According to Lemma 4.2 there is a positive supersolution of this problem with
[TABLE]
Then, satisfies (4.14) if where and
[TABLE]
Now we observe that
[TABLE]
The existence of with the desired bound then follows from Lemma 4.2. ∎
For a function , we define the norm as the least number such that
[TABLE]
Similarly, we define the the norm as the least with
[TABLE]
As a consequence of Proposition 4.1 we find the following estimate, fundamental for our purposes.
Corollary 2**.**
There exists a such that for all with we have
[TABLE]
where is the solution of given by .
4.2. The linear inner problems
Next we will state the necessary facts to solve the inner problems (3.6). We omit the index and then consider the linear equation for
[TABLE]
where for a suitable . Here is a large number, possibly -dependent.
Our purpose is to solve (4.17) for a that defines a linear operator in and has good bounds in terms of , provided that certain solvability conditions for the right hand side are satisfied.
One observation is that the change of variables
[TABLE]
transforms equation (4.17) into
[TABLE]
Let us recall some basic facts on the elliptic problem for functions
[TABLE]
Using a decomposition in spherical harmonics
[TABLE]
where designates a basis of eigenfunctions of the problem . The above system decouples into an infinite set of equations for the radially symmetric coefficients. The following facts are standard.
- (1)
The bounded functions satisfying are precisely the linear combinations of the functions
[TABLE] 2. (2)
If as , with , then Equation (4.19) has a decaying solution if and only if
[TABLE]
In the radial case, this is what formula (2.19) directly yields. 3. (3)
The eigenvalue problem
[TABLE]
has a unique positive eigenvalue , which is simple and with a positive eigenfunction with
[TABLE]
which we normalize so that
While does not enter in solvability conditions in the elliptic problem (4.19), it plays a crucial role in solving for uniformly bounded its parabolic counterpart (4.18) in entire space, say
[TABLE]
In fact if we set
[TABLE]
then we compute
[TABLE]
This ODE has a unique bounded solution
[TABLE]
and hence its initial condition is imposed: we need one linear constraint, on the initial value ,
[TABLE]
Let us consider then the initial value problem for (4.20)
[TABLE]
Let us assume that for some and the right hand side satisfy the decay conditions
[TABLE]
for all . Let us consider as an approximate solution that obtained by solving the elliptic equation
[TABLE]
so that
[TABLE]
and formally, the error of approximation is given by
[TABLE]
With this choice we obtain an improvement in the region for error of approximation, since there has smaller size compared with . We would like to find a true solution of (4.21) with the behavior (4.23), but according to the above discussion this can only be achieved with the choice . It is then natural to consider the problem restricted to a ball in as in (4.18) where In fact what we can establish is that for satisfying (4.22) there is a solution of (4.21) defined in that satisfies an estimate similar but worse than (4.23). That estimate however coincides with (4.23) for , which is enough for our purposes. Let us be more precise. Let us denote, for , small and fixed,
[TABLE]
and consider the initial value problem
[TABLE]
for some constant , under the orthogonality conditions, for
[TABLE]
Let us fix numbers and and define the following norms. We let be the least number such that
[TABLE]
According to the above discussion, in the best of the worlds we would like to find a solution to (4.24) that satisfies . We cannot quite achieve this but, let us define to be the least number with
[TABLE]
We notice that
[TABLE]
The following is the key linear result associated to the inner problem.
Lemma 4.3**.**
There is a such For all sufficiently large and any with that satisfies relations there exist linear operators
[TABLE]
which solve Problem and define linear operators of with
[TABLE]
Proof.
As we have discussed, Problem (4.24) is equivalent to
[TABLE]
The result then follows from Proposition 5.5 and the gradient estimates in the proof of Proposition 7.2 in [5]. We remark that we also have the validity of a Hölder estimate in space and time with the natural forms. ∎
5. Solving the outer and inner problems
In this section we will solve the outer-inner gluing system (3.6)-(3.7), setting it up as a system in , and that will involve a fixed point formulation in terms of the linear inverses built in the previous section.
5.1. The outer problem
Let us denote, for , small and fixed as in (3.3),
[TABLE]
and consider a -tuple of functions
[TABLE]
In addition we consider a bounded function that satisfies the assumption (1.9) in Corollary 1 namely
[TABLE]
with . Let us consider the solution of the heat equation
[TABLE]
Then we have
[TABLE]
Indeed, the solution of the initial value problem is given explicitly by the convolution formula
[TABLE]
It is not restrictive to think that . By the decay assumption (5.1), for some constant whose value changes from line to line, we have
[TABLE]
which concludes the proof of (5.2).
Let us set in the outer problem (3.7),
[TABLE]
and impose initial condition [math] for . Then the outer problem in terms of becomes
[TABLE]
where
[TABLE]
and the components of are defined in (3.5). We express (5.3) as
[TABLE]
where is the solution of the heat equation given by (4.2).
5.2. The inner problem
We will formulate the inner problem (3.6) for the functions using the setting introduced in Lemma 4.3. Let us write Problem (3.6) in the form
[TABLE]
where
[TABLE]
with
[TABLE]
[TABLE]
First we modify the right hand side of (5.5) to achieve the solvability conditions (4.25), and introducing an initial condition as in (4.21). We consider the problem
[TABLE]
where
[TABLE]
Let us denote by the linear operator in Lemma 4.3 for . Then (5.7) is solved if the following equation holds
[TABLE]
In order to solve the full equation (3.6), we couple these equations with
[TABLE]
The equations (5.9) can be expressed in a quite simple form: Equations (5.9) for , are equivalent to
[TABLE]
where is given by
[TABLE]
and is a bounded function. Furthermore, Equations (5.9) for , are equivalent to
[TABLE]
where
[TABLE]
Proof of (5.10)-(5.11).
Formula (5.11) follows by a straightforward computation. Let us consider (5.10). For each , we have
[TABLE]
Since
[TABLE]
we get
[TABLE]
where is the positive constant defined in (2.16). We conclude that the first two terms in (5.12) are given by
[TABLE]
∎
Next we formulate Equation (5.10) as a fixed point problem using the initial value problem
[TABLE]
We recall that and we want to solve this equation for a function with a decay slightly faster than this. For a number and a function we define
[TABLE]
The unique solution of (5.13) defines a linear operator of represented as
[TABLE]
Clearly, if for any , we have the validity of the uniform -estimate
[TABLE]
Also, we write Equations (5.11) as a fixed point problem using the solution to
[TABLE]
defined by
[TABLE]
for vector-valued function . We have the validity of the uniform -estimate
[TABLE]
We formulate equations (5.9) as follows
[TABLE]
5.3. The system
Solving the system of equations given in (3.6)-(3.7) reduces to solving (5.4)-(5.8)-(5.9) in , , and . We formulate the system (5.4)-(5.8)-(5.9) as follows
[TABLE]
We now fix the number introduced in (2.22) to be some small, positive number satisfying for all . We assume in what follows that
[TABLE]
and
[TABLE]
where the norm is defined in (5.14). The function will naturally be measured in the norm (4.15). Let us assume that for some number , and where the number chosen in the bound (5.2) for . Here is already fixed in bound (5.17). Then the following pointwise estimate for the operator in (5.6) holds:
[TABLE]
Consistently, for the operator we find, using that ,
[TABLE]
Moreover, consequence of Lemma 4.2, we have
[TABLE]
Consistently, for the operator we find, using that ,
[TABLE]
Bounds (5.19)-(5.21) and (5.20)-(5.22) roughly tell us that in the inner problems , the norm in (4.26) is expected to be bounded, where , and is the power such that . Let us also fix . We write in what follows
[TABLE]
Let us choose numbers
[TABLE]
and measure in the norm . A major role in the rest of the proof will be played by the following estimate for the operator .
Proposition 5.1**.**
Assume the parameters have the form (2.21) with satisfying , and the points satisfy (5.18). Then there exists such that for all sufficiently large we have
[TABLE]
The fixed point problem
First we define the space of tuples of functions where , are continuous in , is continuous in and , is of class and such that
[TABLE]
is a Banach space endowed with this norm. It is convenient to formulate the fixed point problem (5.16) in the form
[TABLE]
where , with
[TABLE]
Using Estimates (4.16) and (5.25) we get that
[TABLE]
for some . Now, from estimate (5.19) and the bounds in the definition of the operator we see that
[TABLE]
and hence for some ,
[TABLE]
Similarly, estimates (5.15), (5.20) and (5.27) yield
[TABLE]
Let
[TABLE]
From estimates (5.27), (5.28) and (5.29) we find
[TABLE]
for some fixed . Hence, enlarging if necessary, we find that
[TABLE]
The existence of a fixed point in will then follow from Schauder’s theorem if we establish the compactness of the operator in the topology of .
Compactness
Thus we consider a sequence of parameters which is bounded. We have to prove that the sequence has a convergent subsequence in . Let us consider first the sequence
[TABLE]
From the above estimates, we see that is locally uniformly bounded in , and then so is . Writing where , we see that satisfies
[TABLE]
where is uniformly bounded, and with a uniformly smooth initial condition. We conclude that for any compact set and points we have that for a fixed
[TABLE]
But if
[TABLE]
for a certain fixed . This estimates implies the local equicontinuity of the sequences and . Hence there is a subsequence (that we still denote the same way) such that they converge uniformly on compact subsets of . Now, from the assumed bound on and the a priori estimate obtained we have that
[TABLE]
which implies that for some and some ,
[TABLE]
This implies that the local uniform limit of is in fact global in the norm . This gives the compactness.
Let us consider now
[TABLE]
Since is uniformly bounded, we have a uniform Hölder bound for on compact subsets of . Hence converges uniformly (up to a subsequence) to a function . The convergence also holds in the norm as it follows of the further uniform decay (in space and time) quantitatively measured by the boundedness of the operator in the norm This convergence yields in straightforward way that of . The proof is concluded.
Conclusion
From Schauder’s Theorem, we have the existence of a solution to the fixed point problem (5.26) in . In fact we see that for any given small after having chosen sufficiently large. Then we have that the function
[TABLE]
is a solution to (2.1), with energy density satisfying (LABEL:ed). Notice that by construction since , while
[TABLE]
with for . Write and where and are the adequate values for and the corresponding initial condition. To have the energy density satisfying (LABEL:ed), . Then by construction we find that and have a size proportional to that of . Since We have then that the solution of equation (2.1) with initial condition
[TABLE]
gives rise to a -bubble tower if we choose the compactly supported functions
[TABLE]
[TABLE]
The proof is concluded. ∎
Remark 5.1**.**
The set of initial conditions of Equation (1.1) that lead to a -bubble tower can actually be smoothly parametrized. In fact we have used Schauder’s theorem just for simplicity. With a bit more effort and similar computations we can prove that the operator in the fixed problem (5.26) is actually a contraction mapping, and then we have uniqueness of the fixed point and the scalars , defines a Lipschitz function of in its natural topology. Moreover, an application of implicit function theorem, yields the character of these functionals. It follows that this set of initial conditions defines a codimension manifold inside the natural finite-energy space of perturbations. **
6. Estimates for the operator
In this section we will prove Proposition 5.25. The result will follow from individual estimates for each of the terms of the operator which we state and prove as separate lemmas below. We recall that
[TABLE]
All terms are defined in (3.5), with .
Lemma 6.1**.**
Assume the parameters have the form (2.21) with satisfying , and the points satisfy (5.18). Assume that , and are defined as in (5.24). Then there exists so that for all sufficiently large we have
[TABLE]
where is defined in (3.5).
Proof.
The error function defined in (3.5) has the explicit expression
[TABLE]
In the above formula, is defined in (2.10), in (2.8), in (2.24), for , and in (2.23), in (2.5) and in (2.6)-(2.20). Also the functions , are the cut-off functions introduced in (3.2).
We will estimate in details most of the terms in (6.2). To estimate these terms in the norm , we will make use od the definition of the weights , , , , and introduced respectively in (4.10), (4.11), (4.12) and (4.13), with and .
Estimate of in (2.10)
We start with the term
[TABLE]
Let us fix . If , we have
[TABLE]
for some . If ,
[TABLE]
for some , where is the function defined in (1.12). Now, we observe that
[TABLE]
and also
[TABLE]
for some , provided is chosen small enough. Thus
[TABLE]
for some . Another term in is
[TABLE]
which can be bounded as follows
[TABLE]
for some . Let us now consider the term
[TABLE]
in . By construction,
[TABLE]
We have
[TABLE]
and
[TABLE]
To bound , for , we argue in a very similar way. We thus conclude that
[TABLE]
The next term to estimate in is
[TABLE]
Let us fix , and observe that
[TABLE]
If , then
[TABLE]
If , then
[TABLE]
A similar bound is also valid for the last terms in . We conclude that
[TABLE]
for some positive .
Estimate of in (2.8)
We start with : we have
[TABLE]
The second term in can be estimated as follows
[TABLE]
The last term in can be treated in a similar way, thus we conclude that
[TABLE]
for some .
Estimates of the remaining terms
The next two terms are directly bounded
[TABLE]
and
[TABLE]
From (2.21), we conclude that
[TABLE]
for some .
Next we estimate . From (2.20), we easily get that
[TABLE]
Since
[TABLE]
where is defined in (1.12). We have
[TABLE]
A very similar estimate is also valid for the term . We find
[TABLE]
Now let us consider the term . We have
[TABLE]
The remaining terms in can be treated as follows:
[TABLE]
for each ,
[TABLE]
and for
[TABLE]
Collecting all these estimates, we obtain the validity of (6.1). ∎
Lemma 6.2**.**
Assume the parameters have the form (2.21) with satisfying , and the points satisfy (5.18). Assume that , , , and are defined as in (5.24). Then there exists so that for all sufficiently large we have
[TABLE]
where is defined in (3.5).
Proof.
Using the convention that and , we have
[TABLE]
where , , , and are defined respectively in (4.11), (4.12), (4.10) and (4.13). Also the norm is defined in (4.15).
Our purpose is now to show that, for all ,
[TABLE]
Indeed, estimate (6.3) follows directly from (6.4).
Take , then
[TABLE]
Take , then
[TABLE]
We next estimate the different terms in the above expression. Let us consider first the terms involving . We have
[TABLE]
and
[TABLE]
for some .
Let us now consider the terms involving . A direct computation gives
[TABLE]
and
[TABLE]
Arguing similarly, we get
[TABLE]
Thus we conclude that, for it holds
[TABLE]
Take now , then
[TABLE]
We have
[TABLE]
for some , thanks to the facts that and that and are small positive numbers. Also,
[TABLE]
and
[TABLE]
thanks to the fact that can be chosen so that since .
The validity of (6.3) thus follows from (6.4), (6.5), (6.6) and (6.7). ∎
Let us now estimate the linear operator . We recall that, using summation convention,
[TABLE]
Lemma 6.3**.**
Assume the parameters have the form (2.21) with satisfying , and the points satisfy (5.18). Assume that , and are defined as in (5.24). Then there exists so that for all sufficiently large we have
[TABLE]
Proof.
We recall that by definition of we have
[TABLE]
Hence, by choosing sufficiently small in we can assume ,
[TABLE]
As a conclusion, the following bound holds: for a that can be chosen arbitrarily small, we have
[TABLE]
Similarly we estimate the term :
[TABLE]
The same estimate holds for . We find that for some ,
[TABLE]
Finally, we estimate . We have that
[TABLE]
Hence
[TABLE]
Using that and that with a convenient choice of we have that , we find
[TABLE]
On the other hand, we can estimate
[TABLE]
We have that in the region ( equivalently for ).
[TABLE]
Hence
[TABLE]
Then, assuming with no loss of generality that in is chosen so that
[TABLE]
we find
[TABLE]
Combining estimates (6.8) and (6.9) we find
[TABLE]
At last we get for the full operator and for number ,
[TABLE]
∎
Finally, let us consider the remaining terms nonlinear term .
Lemma 6.4**.**
We have the validity of the estimate
[TABLE]
Proof.
We see that
[TABLE]
We have that
[TABLE]
Assuming that we then find
[TABLE]
Similarly,
[TABLE]
Since we have . We may assume , hence for some , we may assume
[TABLE]
Finally we see that for
[TABLE]
And, as a conclusion for some numbers , we get
[TABLE]
Finally, using estimate (5.2) on and we readily see that
[TABLE]
for an arbitrarily small .∎
Acknowledgements: M. del Pino has been supported by a UK Royal Society Research Professorship and Grant PAI AFB-170001, Chile. M. Musso has been partly supported by Fondecyt grant 1160135, Chile. The research of J. Wei is partially supported by NSERC of Canada.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] H. Bahouri and P. Gerard, High frequency approximation of solutions to critical nonlinear wave equations . Amer. J. Math. 121 (1999), 131-175.
- 2[2] C. Collot, Non radial type II blow up for the energy supercritical semilinear heat equation. Anal. PDE 10 (2017) 127–252.
- 3[3] C. Collot, F. Merle, P. Raphael, Dynamics near the ground state for the energy critical nonlinear heat equation in large dimensions . Comm. Math. Phys. 352 (2017), 103-157.
- 4[4] C. Collot, F. Merle, P. Raphael, On strongly anisotropic type II blow up Preprint Ar Xiv:1709.04941.
- 5[5] C. Cortázar, M. del Pino, M. Musso, Green’s function and infinite-time bubbling in the critical nonlinear heat equation . Preprint ar Xiv:1604.07117. To appear in J. Eur. Math. Soc. (JEMS).
- 6[6] R. Cote, On the soliton resolution for equivariant wave maps to the sphere , Comm. Pure. Appl. Math. 68 (2015), no. 11, 1946-2004
- 7[7] P. Daskalopoulos, M. del Pino, N. Sesum. Type II ancient compact solutions to the Yamabe flow. J. Reine Angew. Math. 738 (2018), 1-71.
- 8[8] J. Dávila, M. del Pino, J. Wei, Singularity formation for the two-dimensional harmonic map flow into S 2 superscript 𝑆 2 S^{2} Preprint Ar Xiv:1702.05801.
