Entire and ancient solutions of a supercritical semilinear heat equation
Peter Pol\'a\v{c}ik, Pavol Quittner

TL;DR
This paper studies entire and ancient solutions of a supercritical semilinear heat equation, proving a Liouville-type theorem for positive bounded radial solutions and classifying nonstationary solutions.
Contribution
It establishes a new Liouville-type theorem for positive bounded radial solutions when p exceeds the Lepin exponent, and classifies entire and ancient solutions in supercritical regimes.
Findings
All positive bounded radial entire solutions are steady states for p > p_L.
Classification of nonstationary entire solutions when they exist.
Applications to blowup behavior of solutions.
Abstract
We consider the semilinear heat equation on . Assuming that and is greater than the Sobolev critical exponent , we examine entire solutions (classical solutions defined for all ) and ancient solutions (classical solutions defined on for some ). We prove a new Liouville-type theorem saying that if is greater than the Lepin exponent ( if ), then all positive bounded radial entire solutions are steady states. The theorem is not valid without the assumption of radial symmetry; in other ranges of supercritical it is known not to be valid even in the class of radial solutions. Our other results include classification theorems for nonstationary entire solutions (when they exist) and ancient solutions, as well as some applications in the theory of…
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Entire and ancient solutions
of a supercritical semilinear heat equation
Peter Poláčik111Supported in part by NSF Grant DMS-1856491
School of Mathematics, University of Minnesota
Minneapolis, MN 55455
Pavol Quittner222Supported in part by VEGA Grant 1/0347/18 and by the Slovak Research and Development Agency under the contracts No. APVV-14-0378 and APVV-18-0308
Department of Applied Mathematics and Statistics, Comenius University,
Mlynská dolina, 84248 Bratislava, Slovakia
**Abstract. We consider the semilinear heat equation on . Assuming that and is greater than the Sobolev critical exponent , we examine entire solutions (classical solutions defined for all ) and ancient solutions (classical solutions defined on for some ). We prove a new Liouville-type theorem saying that if is greater than the Lepin exponent ( if ), then all positive bounded radial entire solutions are steady states. The theorem is not valid without the assumption of radial symmetry; in other ranges of supercritical it is known not to be valid even in the class of radial solutions. Our other results include classification theorems for nonstationary entire solutions (when they exist) and ancient solutions, as well as some applications in the theory of blowup of solutions. **
Key words: Semilinear heat equation, entire solutions, ancient solutions, Liouville theorems, blowup.
AMS Classification: 35K58, 35B08, 35B44, 35B05, 35B53
Contents
-
2.5 Comparison arguments and intersections of solutions of (2.2) for large
-
3.1 Linearization of (2.2) at and estimates of the remainder
1 Introduction
Entire and ancient solutions play an important role in studies of singularities and long-time behavior of solutions of many evolution problems. In that vein, of prominent importance are entire and ancient solutions of some specific equations which serve as scaling limits of many other equations with a given structure.
In this paper, we consider the semilinear heat equation
[TABLE]
where , , and . We investigate positive classical solutions of the problems
[TABLE]
(entire solutions of (1.1)), and
[TABLE]
where (ancient solutions of (1.1)).
Note that equation (1.1) is invariant under the scaling
[TABLE]
With respect to the same scaling, (1.1) can be considered as the scaling limit of a large class of equation whose nonlinearities have polynomial growth, such as equations of the form
[TABLE]
where is a continuous function with . More specifically, applying the above scaling to equation (1.4) and taking formally , one obtains equation (1.1). Of course, the connection between (1.4) and (1.1) is not just formal; it is well known that with good understanding of (1.1), in particular of its entire and ancient solutions, one can draw interesting conclusions about solutions of the Cauchy problem for (1.4) (Corollary 1.2 below is an example of this).
We are mainly interested in radially symmetric solutions of (1.2) and (1.3). If no confusion seems likely, we will often consider a radial solution as a function of and , i.e. .
The simplest entire solutions are steady states. Positive steady states of (1.2) exist if and only if , where
[TABLE]
is the Sobolev exponent (see [13], [7] or [36]). If , then radial positive steady states form a one-parameter family , where . These solutions are ordered—that is, for —if and only if , where
[TABLE]
see [39] or [36]. Ordered or not, the family approaches as the singular steady state
[TABLE]
which has a special role in this paper. It exists whenever .
In regard to time-dependent entire solutions, denoting
[TABLE]
the following Liouville-type theorem is known (see [31, 5, 34]):
Theorem 1.1**.**
If , then (1.2) does not possess positive radial solutions. If , then (1.2) does not possess any positive solutions.
Nonexistence of positive (non-radial) solutions of (1.2) for is still an open problem. On the other hand, a nonexistence result for sign-changing radial solutions has been obtained in [3].
Theorem 1.1 has a number of interesting applications in equations (1.1), (1.4), and even more general problems [31]. As an illustration, we just state the following optimal universal estimate for positive solutions of (1.4) on any time interval (see [31, Theorem 3.1]).
Corollary 1.2**.**
Assume is a continuous function such that as and let be a positive solution of (1.4) on an interval . Assume that either is radial and , or . Then
[TABLE]
where is a constant independent of , , and . If , then the following stronger version of (1.5) holds:
[TABLE]
Since is independent of , taking , we obtain from (1.6) the following estimates for ancient solutions of (1.1):
[TABLE]
For ancient solutions satisfying (1.7) the following classification theorem has been proved in [23]:
Theorem 1.3**.**
Let and be a positive solution of (1.3) satisfying
[TABLE]
Then there exists such that , where
[TABLE]
(In this theorem and below, we use , etc., to denote constants independent of the solution in question.) Thus, Corollary 1.2 in conjunction with Theorem 1.3 shows that the only positive radial ancient solutions are the (spatially constant) ancient solutions of the equation (if , the word “radial” can be omitted in this statement). Theorem 1.3 has other interesting and important consequences in the study of the blowup behavior of solutions of (1.1), which can be found in [23].
The above results are all concerned with the subcritical case . Of course, in the critical or supercritical cases, the existence of positive radial steady states has to be taken into account in the formulation of any Liouville-type theorems or problems. A first natural question is whether there are any positive entire solutions other than the steady states. In some cases, this question has been answered in the negative, but only when rather severe extra bounds on the solutions are imposed. Namely, the following Liouville-type results are known (see [12, Theorem 2.4] and [33, Theorem 1.2]).
Theorem 1.4**.**
Let be a nonnegative solution of (1.3).
- (i)
Assume and for all . Then .
- (ii)
Assume and for some and all . Then for some .
Without the extra bounds, these results are not valid, at least in the range , where
[TABLE]
is the critical exponent for the existence of positive bounded non-constant radial steady states of a rescaled equation (see (1.10) below). Notice that if . Positive radial bounded solutions of (1.2) which do depend on time are provided by the following results of [12].
Theorem 1.5**.**
(i)* If , then there exists a positive radial bounded solution of (1.2) satisfying (i.e. is a homoclinic solution to the trivial steady state). In addition, given , also satisfies (1.8).*
(ii)* If and is a positive radial steady state of (1.2), then there exists a positive radial bounded solution of (1.2) satisfying*
[TABLE]
(i.e. connects to zero).
With the above results, the problem of the existence of positive radial entire (nonstationary) solutions is settled for all . One of the primary objectives of our present study is to address the problem in the range . We have the following result, the main Liouville-type theorem of this paper.
Theorem 1.6**.**
Assume . Then any positive radial bounded solution of (1.2) is a steady state.
The proof of this theorem is given in Section 3; as it is rather involved, we precede it by an informal outline.
Theorem 1.6 is not valid without the assumption of radial symmetry. Indeed, as indicated in a remark following Theorem 2.1 in [12], one can find nontrivial entire solutions by extensions of solutions in lower dimensions. To make this remark more precise, fix any . Then one can always find an integer such that is between and , the Sobolev and Lepin exponents in dimension . Take now an entire solution , , as provided by Theorem 1.5(i). Viewing as a function of and , constant in the last variables, we obtain a positive bounded nonstationary entire solution of (1.1).
Similarly as in the subcritical case, the Liouville theorem for has important applications. For example, we will show in Section 5 that Theorem 1.6 can be used to prove the convergence of profiles of both global and blowing-up solutions.
When nonstationary entire solutions do exist, it is still an interesting question if they can be classified in some way. Our next theorem gives a classification of entire solutions satisfying (1.8). Its conclusion is, in a sense, complementary to Theorem 1.5(i) in the case .
Theorem 1.7**.**
If and is a positive radial bounded solution of (1.2) satisfying (1.8), then (hence, is a homoclinic solution to the trivial steady state).
We believe that the same statement is valid if , but presently we can only prove this under an additional condition (see Remark 1.11 below).
We now consider ancient solutions. In order to describe our results, we introduce the backward similarity variables
[TABLE]
and the rescaled function
[TABLE]
Notice that if solves (1.3), then is an entire solution of the equation
[TABLE]
Problem (1.10) has a positive constant steady state for all and the singular steady state whenever . Positive bounded non-constant radial steady states of (1.10) exist if , while such solutions do not exist if , see [18, 24] and references therein. In the case , the nonexistence is stated in the main result of [25], however the proof given there contains a gap, which does not seem to have been fixed yet.
We have the following result concerning ancient solutions.
Theorem 1.8**.**
Let either or . Let be a positive radial solution of (1.3), and let denote the corresponding rescaled function.
If satisfies (1.8), then is either a positive bounded radial steady state of (1.10) or connects a positive bounded radial steady state of (1.10) to a nonnegative bounded radial steady state of (1.10):
[TABLE]
with the convergence in .
If (1.8) fails, then connects the singular steady state to a nonnegative bounded radial steady state of (1.10), that is, (1.11) holds with , where the convergence is in in the case of and in in the case of .
Thus, if or , the positive radial ancient solutions can be classified as heteroclinic connections in self-similar variables, possibly with the singular backward limit. This statement in the regular backward limit case (the first part of Theorem 1.8) can be viewed as a (radial) analogue of Theorem 1.3 in the given supercritical ranges of . Indeed, using the rescaled function , Theorem 1.3 can be formulated as follows (see [23, Corollary 1.5]):
Remark 1.9**.**
Let and be a positive solution of (1.3) satisfying (1.8). Then the rescaled function is either equal to the constant or there exists such that , where (hence connects to zero).**
As an application of Theorem 1.8, we now examine the character of blowup of ancient solutions. First we recall some terminology. Let be a positive radial solution of (1.1) defined on a time interval . This solution is said to blow up at if as . The blowup is of type I if the function stays bounded as , otherwise it is of type II. As proved in [14] (see also Corollary 1.2 above), type II blowup never occurs if (this is also true with the assumption of radial symmetry dropped). The absence of type II blowup is also known for some classes of radial solutions (for example, radially nonincreasing solutions) if [19, 20, 27]. On the other hand, type II blowup is known to occur for some positive radial solutions if (see [16, 26, 21, 37]). Let us now add the assumption that is an ancient solution. Our question is whether from the fact that has some “past” one can draw a definite conclusion about the type of its blowup. If or , we can give a positive answer:
Corollary 1.10**.**
Let either or . Let be a positive radial solution of (1.3). If blows up at , then the blowup is of type I.
This result follows directly from Theorem 1.8, which gives a bound on in any compact set, and the universal estimate (2.3) proved in Proposition 2.1 below, which yields a bound on this function away from the origin in .
Remark 1.11**.**
We conclude the introduction with a few remarks concerning exponents not covered by the above results. As previously mentioned, we expect Theorem 1.7 to hold in the range and can actually prove this (see Section 5) under an additional condition. Specifically, the condition requires that each classical positive radial steady state of (1.10) satisfy the relation , where is the standard energy functional for equation (1.10) (see Subsection 2.2). In Section 5 we also give some heuristics as to why the energy condition is plausible, but it is not clear to us if it can be proved by any readily available tools. In the borderline case , the statement of Theorem 1.7 is most likely void, for we do not expect any positive radial bounded solution of (1.2) to exist— is not included in Theorem 1.6 for several technical reasons. In Theorem 1.8 (and Corollary 1.10), we left out the range . Again, we believe that both statements of Theorem 1.8 are valid in this range as well, but can only prove it under the above energy condition (see Remark 5.3). **
The rest of the paper is organized as follows. The next section contains several preliminary results concerning the energy functional for (1.10), zero number for differences of solutions of equations (1.2), (1.3) and their rescaled versions, and the - and -limit sets of solutions of (1.10). In the same preliminary section, we also give universal a priori estimates on radial entire and ancient solutions, and examine the relation of two radial solutions of (1.10) for large values of . The proof of Theorem 1.6 and its informal outline are given in Section 3. Section 4 is devoted to the proofs of Theorems 1.7, 1.8. In Section 5, we discuss some applications of our results. In particular, we state and prove there a theorem on the convergence of profiles of blowup solutions.
2 Preliminaries
In the rest of this paper, we consider radial solutions only, although some of the results in this preliminary section, notably those concerning the energy functional, hold for nonradial solutions. Notice that radial solutions of (1.2) or (1.3), viewed as functions of and , satisfy the equation
[TABLE]
with , and the rescaled functions (where ) satisfy the equation
[TABLE]
2.1 Universal estimates
The following universal estimates for positive radial solutions of (1.2), (1.3) and the corresponding rescaled functions will play an important role in our analysis. Notice first that if is any solution of (2.2) and is defined by (1.9), then is a solution of (2.1), hence any solution of (2.2) corresponds to a solution of (2.1).
Proposition 2.1**.**
Assume . Then there exists with the following properties: If is a positive solution of (2.1) in with , then
[TABLE]
where if and if . If , then the corresponding rescaled function satisfies
[TABLE]
where . If is an entire solution and is defined by (1.9) with , then (2.4) is true with .
Proof.
The proof is a straightforward modification of the doubling and rescaling arguments in [31] and the Liouville theorem for positive solutions of (1.2) with ; cp. also [3]. First notice that (2.3) and (1.9) imply (2.4), hence it is sufficient to prove (2.3). In addition, (2.3) with is a consequence of (2.3) with since the constant does not depend on . Consequently, we may assume .
Set
[TABLE]
Assume that (2.3) is not true. Then there exist , solutions of (2.1) in and points such that
[TABLE]
where denotes the parabolic distance of to the topological boundary of . Then [30, Lemma 5.1] guarantees that after possible modification of , (2.5) holds and, in addition, we may assume whenever . Set
[TABLE]
where . Then satisfies the equation
[TABLE]
are bounded in by a constant independent of , and . Clearly, . Using standard parabolic estimates, we conclude that (a suitable subsequence of) converges to a positive solution of (1.2) with . But this contradicts the corresponding Liouville theorem, see [31], for example. ∎
2.2 Lyapunov functional
Equation (1.10) can also be written in the form
[TABLE]
where is the Gaussian weight defined by
[TABLE]
It is known that this problem possesses the Lyapunov functional
[TABLE]
More precisely, we have the following proposition (see [36, Proposition 23.8] for more details; note that the assumption in [36] is satisfied for radial solutions of (2.6) due to Proposition 2.1 and the fact that we consider classical solutions).
Proposition 2.2**.**
Let and let be a positive radial solution of (2.6). Then and
[TABLE]
for all .
Notice also that
[TABLE]
for any bounded positive radial steady state of (2.6) (or (1.10)) and this also remains true for the singular steady state if since for such .
It is known that if and is a positive radial non-constant steady state of (2.6) or , then , see [21, Remark 1.17]. In particular,
[TABLE]
The proof of (2.9) in [21] is quite long and involved. In the proof of the following proposition we use a simpler and more direct argument to prove (2.9) (cf. also the beginning of Subsection 3.3 in [21]). This argument enables us also to show that the ratio is monotone with respect to .
Proposition 2.3**.**
Let and denote the function . Then is decreasing, and .
Proof.
Set . Then a straightforward calculation based on (2.8) shows , where
[TABLE]
and stands for the standard gamma function. Since and , it is sufficient to prove for . This inequality is equivalent to
[TABLE]
where
[TABLE]
see [1, 6.3.21]. Consequently, to prove (2.10) it is sufficient to show
[TABLE]
which is equivalent to
[TABLE]
Setting , the last inequality is equivalent to
[TABLE]
Using the estimate we see that it is sufficient to show
[TABLE]
The last inequality is easy to prove (consider the derivatives of the left and right hand sides, for example). ∎
2.3 Zero number
Recall that radial solutions of (1.2) or (1.3) satisfy equation (2.1) with , and the boundary condition , and the rescaled functions satisfy equation (2.2) and the boundary condition . The singular steady state satisfies both (2.1) and (2.2) and the boundary condition .
If are radial solutions of (1.2) or (1.3) (or are radial solutions of (1.10)), then solves the linear equation
[TABLE]
and satisfies the boundary condition , where , and is in whenever (the boundedness comes from Proposition 2.1 and the fact that we consider classical solutions). If and is as above, then satisfies (2.11), the boundary condition , and for any .
If is an interval and is a continuous function, we denote by the number of zeros of in . We also set .
The next proposition follows from zero number theorems of [8, 22].
Proposition 2.4**.**
Let be as above, , . Then we have:
(i)* The function is nonincreasing. If and*
[TABLE]
then
[TABLE]
(ii)* Assume , for all . Then the function is nonincreasing and finite. If (2.12) is true for some , then (2.13) is true with replaced by .*
2.4 Steady states and limit sets of (2.2)
In what follows we assume that is a positive solution of (2.2) and . Estimate (2.4) guarantees that the Lyapunov functional is uniformly bounded for and whenever . Consequently, standard arguments (see Appendix G in [36], for example) show that the - and -limit sets
[TABLE]
[TABLE]
are nonempty connected sets consisting of nonnegative steady states of (2.2). In addition, if corresponds to an entire solution (hence (2.4) is true with ) and is bounded in for some , then the convergence in with implies the convergence in .
We now summarize further useful properties of and reflecting the structure of steady states of the present problem. In particular, we show that and are singletons.
First note that estimate (2.4) with implies . Our assumption guarantees that is the only nonnegative steady state of (2.2) satisfying , see [25, Theorem 1.2] or [35]. Notice also that since for any positive steady state of (2.2) (cp. (2.8)) and is decreasing unless is a steady state.
Any nonnegative steady state of (2.2) satisfying is uniquely determined by its value at . If is nonconstant, then [24, Lemmas 2.2–2.3] and [4] yield the following relations
[TABLE]
Denote by the set of for which there exists a steady state of (2.2) satisfying . By [22, Proposition 2.3 and the proof of Lemma 2.4], for any there exists , and the mapping is injective. In particular, for any . Set
[TABLE]
By (2.14), and . As proved in [29], the set is discrete. This—in conjunction with the uniqueness of the unbounded positive steady state —shows that for any positive solution of (2.2), the sets and are singletons consisting of either or for some .
As already mentioned in the introduction, if , then , i.e. and are the only bounded nonnegative steady states of (2.2). In this case, each of the sets and has to be one of the sets , , or . We also know that (and if corresponds to an entire solution ). Proposition 2.3 guarantees .
Let now . Then each of the sets is nonempty (see [38, 17, 6, 11, 28] and references therein) and bounded (this follows from the first sentence in the proof of [10, Lemma 2.2], for example), hence finite. On the other hand, an easy contradiction argument shows as .
The arguments in the proof of [11, Proposition 2.4] show that if are two different positive steady states of (2.2) (possibly unbounded), then
[TABLE]
Hence, and do not intersect for large values of . This is also a consequence of Proposition 2.5 below, where we examine similar intersection properties for time-dependent solutions of (2.2).
2.5 Comparison arguments and
intersections of solutions of (2.2) for large
Let be two positive solutions of (2.2). Then satisfies
[TABLE]
where
[TABLE]
By the Mean Value Theorem,
[TABLE]
In particular,
[TABLE]
Proposition 2.5**.**
Let be as above, , and . Set
[TABLE]
Assume
[TABLE]
and
[TABLE]
Then .
In applications of this proposition, we verify condition (2.21) using an a priori bound, such as (2.4) with . By the same a priori bound, we will have (2.20) verified, provided is large enough for all .
Notice that if also satisfies such an a priori bound, then and can be interchanged. In this case, Proposition 2.5 says in effect that cannot be large for all . This in particular entails statement (2.15) for steady states, as noted at the end of the previous subsection.
Proof of Proposition 2.5.
Let
[TABLE]
The proof is by contradiction. Assume that . Then
[TABLE]
hence for all . The comparison principle used for equation (2.16) together with estimate (2.18) give
[TABLE]
If , then (2.24) and (2.23) yield . If , then (2.21) and the continuity of guarantee as , hence again. But contradicts our assumption . ∎
3 Proof of Theorem 1.6
The proof of Theorem 1.6 is long and rather technical at places. We first give an outline. Let be a positive solution of (1.2) with . Fixing any , let be the corresponding rescaled solution of (2.2). Using considerations in Subsection 2.4, we first show easily that . Thus, formally, can be viewed as a solution on the unstable manifold of the singular steady state. (The term “manifold” is used loosely here; the manifold structure of the solutions approaching backward in time is not actually established.) At the same time, as observed in [33], the solutions of (2.2) corresponding to the radial steady states of the original equation (1.2) form a one-dimensional manifold that can be considered as the principal part of the unstable manifold of : As time approaches , these rescaled solutions approach monotonically and at an exponential rate given by the principal eigenvalue of the linearization of the right-hand side of (2.2) at . Our main goal is to derive suitable estimates on in order to show that the entire solution has to lie on the principal part of the unstable manifold, or, in other words, is a steady state. This is achieved by careful analysis of the abstract form of equation (2.2) and, in particular, of the remainder on the right-hand side after the linearization has been subtracted from it. This analysis, which is really the crux of our proof, is carried out in the next subsection. We remark that the proof of Theorem 1.4(ii), as given in [33], follows a similar general scenario. However, the bounds assumed there make all the necessary estimates considerably simpler, even when nonradial solutions are allowed; those estimates from [33] are of little help in our present analysis (we make use of other technical results from [33]).
Another ingredient of the proof of Theorem 1.6 is the radial monotonicity of the entire solutions, which we prove in Subsection 3.2 for any . We then complete the proof of the theorem in Subsection 3.3.
3.1 Linearization of (2.2) at and estimates of the remainder
In this subsection, we first assume assume (some abstract results that we recall are valid in this range), and then focus on the case .
Set . We consider the weighted Lebesgue space endowed with the scalar product
[TABLE]
and the corresponding norm . Let
[TABLE]
be endowed with the norm . It was shown in [16, Lemma 2.3] that the operator
[TABLE]
with domain
[TABLE]
can be extended in a unique way to a self-adjoint operator in (still denoted by ), with the following properties:
- (A1)
,
- (A2)
,
- (A3)
the spectrum consists of a sequence of simple eigenvalues
[TABLE]
where
[TABLE]
and the corresponding eigenfunctions (normalized in ) have the form , where ,
[TABLE]
and denotes the standard Kummer function (hence is a polynomial of degree ). Also, for , the function has exactly zeros, all of them positive and simple.
The operator is a positive self-adjoint operator and its fractional powers are well defined for all (see [2, Section III.4.6]). We denote by the corresponding fractional interpolation-extrapolation scale of spaces and operators (see [2, Section V.1] for its definition and properties); the norm in will be denoted by . In particular, , , , (where the duality is taken with respect to the duality pairing ). Recall also that this scale is equivalent to the scale generated by and the complex interpolation functor . The space is isomorphic to , see [16, Lemma 2.4]. By general result of [2, Section V.2], generates an analytic semigroup in and the following estimate is true for any
[TABLE]
If is as in Proposition 2.1, ,
[TABLE]
and for some , then estimate (2.4) and formulas [16, (2.52), (2.59)] show that (3.1) and the variation-of-constants formula
[TABLE]
are true with replaced by . Since no confusion seems likely, in what follows we set . In particular, estimate (3.2) implies
[TABLE]
Henceforth we assume that .
Let be as above. Crucial for our proof of Theorem 1.6 is a good understanding of the behavior of in the following case:
[TABLE]
Here, the -limit set is as in Subsection 2.4. In the following proposition we prove, loosely speaking, that along a sequence of times the function approaches in the direction of the eigenfunction and at the rate .
Proposition 3.1**.**
Under the above assumptions and notation, there exist a constant and a sequence such that
[TABLE]
Proof.
Recall that implies that (this can be easily checked using the formulas in (A3)).
Let be the orthogonal projection onto the orthogonal complement of in . Let be defined by
[TABLE]
where . Since as (see Section 2.4), we have in , hence
[TABLE]
Our first goal is to prove that
[TABLE]
We start with some estimates of the function .
By assumption, , hence . In addition,
[TABLE]
for some , hence, given any ,
[TABLE]
where is given by
[TABLE]
Note that
[TABLE]
Choose , . We will specifically take when , which is the case if
[TABLE]
Clearly, there is such that
[TABLE]
where . Fixing such , if is small enough, we have
[TABLE]
Since , (cp. (A3)), estimate (3.9) gives the following relations (omitting the argument of the indicated functions)
[TABLE]
Next, the embedding inequalities ,
[TABLE]
(the latter follows from (3.11)), and the Hölder inequality imply
[TABLE]
Now, using (3.10), (3.11), and the Lebesgue theorem, we obtain
[TABLE]
Notice also that , hence
[TABLE]
With the above estimate of the function at hand, we next examine differential equations for , , and . Multiplying the equation by , , and integrating over , we obtain
[TABLE]
[TABLE]
where
[TABLE]
Similarly, multiplying the equation by and using , , and (3.13) we obtain
[TABLE]
where as .
We are now ready to complete the proof of (3.8). Fix any
[TABLE]
Then there exists such that
[TABLE]
Assume for a contradiction that there exists such that
[TABLE]
Then (3.16) and the convergence as guarantee the existence of such that
[TABLE]
In addition, setting , (3.15) implies
[TABLE]
Integrating (3.16) and the second inequality in (3.18) over we obtain
[TABLE]
and (3.17) yields a contradiction. Thus, (3.8) is proved.
We now complete the proof of Proposition 3.1, first in the case , then in the case .
Assume (notice that this assumption is automatically satisfied if due to ). As noted above, in this case is our (legitimate) choice. Set
[TABLE]
[TABLE]
Such differential inequalities are considered in [33]. According to [33, Proposition 4.4(i)], as , we have either or
[TABLE]
Assume that (3.19) is true. Then (3.8) implies
[TABLE]
Since changes sign, (3.20) guarantees that changes sign for some , which is a contradiction. Consequently, (3.19) fails and [33, Proposition 4.4(i)] implies
[TABLE]
The previous relations and [33, Proposition 4.4(ii)] further imply
[TABLE]
where is a constant. We have due to [33, (4.13)]. Consequently, there exists a constant such that
[TABLE]
Since , we have and estimate (3.23) yields
[TABLE]
This completes the proof of Proposition 3.1 in the case .
Next assume and (hence ). Taking with , (3.16), (3.8) imply
[TABLE]
Hence, choosing any small , (3.18) guarantees that
[TABLE]
provided is negative and sufficiently large. Consequently, there exists (independent of ) such that for any sufficiently large negative we have
[TABLE]
[TABLE]
Set
[TABLE]
Notice also that for small enough, interpolation, inequality and (3.8) imply
[TABLE]
Integrating (3.15) with over the interval and using (3.25), (3.26), and (3.28), we obtain
[TABLE]
Similarly, integrating (3.15) with and (3.16) we obtain
[TABLE]
Again, [33, Proposition 4.4] guarantees the existence of such that (3.21) and (3.22) hold, this time with and as in (3.27). Consequently, there exist and such that
[TABLE]
In addition, similarly as in the case we obtain , hence (3.5) is true. ∎
3.2 Radial monotonicity of entire solutions
We next establish the radial monotonicity of positive radial entire solutions.
Proposition 3.2**.**
Assume . Let be a positive radial solution of (1.2). Then is radially decreasing.
Proof.
Fix and let be the rescaled function corresponding to and . It is sufficient to prove that is radially decreasing. Due to Subsection 2.4, the -limit set is a singleton , where either with , , or . The derivative solves a linear parabolic equation whose zero order coefficient is
[TABLE]
Estimate (2.4) with guarantees the existence of such that when .
Since for (cp. (2.14)), given there exists such for and . Assume for some and . Set and let be defined by (2.19), (2.22) and . Then for and the same arguments as in the proof of Proposition 2.5 yield , which is a contradiction. Consequently, the maximum principle shows that is decreasing on for any .
If for some with , then in as , hence there exist and such that if and . If we assume for some and , then the same arguments as above yield a contradiction. Consequently, is also nonincreasing on for , and the maximum principle guarantees that is decreasing on for all .
Finally consider the case and assume on the contrary that is not decreasing for some . Fix such that
[TABLE]
and
[TABLE]
Then we can find such that for any , is decreasing on and attains a local minimum at some . Fix . For any , if , then the relations and the equation for imply for some (depending only on and ). It follows that there exists such that
[TABLE]
On the other hand, by (3.30) there exist such that if .
Let be the solution of the linear equation
[TABLE]
in satisfying the boundary conditions , , and the initial condition . Then is increasing in time and, since is a supersolution to , we obtain , hence by the maximum principle. Also, approaches a steady state as with , , and . We have
[TABLE]
Integrating over we obtain
[TABLE]
hence (3.29) implies . Since and as , we have for some large enough. Since on for by the comparison principle, we obtain on , which contradicts (3.31). ∎
3.3 Completion of the proof of Theorem 1.6
In this subsection we assume . By we will denote the solution of
[TABLE]
with . By [24], for each there is such that on and . Also, the following property is proved in [24, Lemma 2.5] (although it is not stressed in [24, Lemma 2.5], it can be checked that the constant there is independent of ):
- (p1)
For each compact interval one has in as .
We shall also need the following property of .
Lemma 3.3**.**
There is such that for each one has
[TABLE]
Proof.
Assume that, to the contrary, there are arbitrarily large values with . Clearly, the zeros of are all simple and, since , their number is even. Thus, there must be at least 4 of them. We denote by the first four zeros of .
Let now be the third eigenvalue of the linearization at and a corresponding eigenfunction (cp. (A3) in the Subsection 3.1). Then , , and both zeros of are positive. Let denote these zeros. As noted in [24, Lemma 2.9], a Sturm comparison argument implies that and . Using (p1) and taking sufficiently large we obtain that
[TABLE]
This relation and the fact that make the Sturm comparison argument applicable to the interval as well. We conclude that this interval contains a third zero of , which is a contradiction. ∎
Although it is not needed below, we remark that (3.33) in fact holds for all . This follows from the observation that the zero number in (3.33) does not change as one varies (the fact that for one has for all is important here). One can also turn the argument around and prove (3.33) by using the independence of the zero number of in conjunction with the fact that the zero number is equal to 2 for sufficiently close to (see [24, Lemma 2.3]).
Proof of Theorem 1.6.
Let be a positive bounded (radial) solution of (1.2) and . Fix and let be the corresponding rescaled solution of (2.2). We know from Subsection 2.4 that each of the sets and has to be one of the sets , and , and . Estimate (2.4) (with ) guarantees . Consequently, .
We prove that
[TABLE]
In fact, assume there is such that for (hence for all ). Making smaller if needed we may assume that the first two zeros , of are simple. Clearly, being the second zero, there is such that . Using (p1) and Lemma 3.3, we find such that (3.33) holds along with the following statements
- (a1)
has zeros , (near , , respectively) with ,
- (a2)
.
Relations , , and (a2) imply that has another zero in . Thus, for all .
Let be as above. Proposition 3.2 and the convergence in imply that there exist and such that for all and . Using this relation (and the convergence again), we obtain that for all sufficiently large negative we have
[TABLE]
(cp. (3.33)). This contradiction completes the proof of (3.34).
We now show that the case for some is impossible. Indeed, if this holds, then for some . Setting , we have and has compact support. By [32], the solution of , is unbounded (it approaches ), and the comparison principle then implies that the same it true of , in contradiction to our assumption.
Thus , that is, , for all .
To complete the proof, we now apply some results of [33]. Recall from Subsection 3.1 that , where , and denotes the norm in The steady states satisfy
[TABLE]
where , , and is a constant; see [15, 39]. According to [33, Lemma 2.2], the rescaled functions
[TABLE]
(cf. (1.9)) satisfy
[TABLE]
Fix such that , where is from (3.5). Then (3.35) and Proposition 3.1 imply
[TABLE]
As shown in [33, Lemma 4.2], this estimate guarantees that , hence . ∎
4 Proofs of Theorems 1.7 and 1.8
In the proofs of Theorems 1.7, 1.8, we will use the following result.
Proposition 4.1**.**
Let and be a positive radial solution of (1.3) satisfying (1.8). Then there is a positive integer such that for all and .
Proof.
Fix any and set ,
[TABLE]
(in particular, when ). Then solve equation (2.2). By (1.8), there is such that is bounded for .
Remarks in Subsection 2.4 show that for the -limit set of in we have either with for some or . The latter is ruled out by the boundedness of for , so we have the former. We prove that the conclusion of the proposition holds with (which is independent of ). Note that in .
Since , we also have for all and we can fix such that
[TABLE]
where is defined in (2.18).
Consider the function . The zeros of belong to the interval (cp. (2.15)). Also, since solve the same second order ODE, the zeros are simple. This fact and the convergence of as guarantee that, decreasing if necessary, we have
[TABLE]
Assume, for a contradiction, that for some . Decreasing further if needed, we may assume . Denoting by the -th zero of , we can choose such that . Let be as in (2.19), (2.22), and . Clearly, is a zero of for each , and, by the monotonicity of the zero number, is at least -th zero of . Hence (4.3) implies for . Now (4.2) and Proposition 2.5 give , and we have a contradiction.
Consequently, for all and the monotonicity of the zero number gives the same estimate for . This gives the desired estimate . ∎
Proof of Theorem 1.7.
By standard results, since the solution is bounded, its -limit set in , , is a nonempty compact set in this space and the desired conclusion is equivalent to . Also, is invariant: for any there is a radial solution of (1.2) satisfying and for all . Obviously, any such is nonnegative and bounded.
Set
[TABLE]
By the boundedness of , these limits are finite. We first prove that . Assume not and fix . Then (and ) for an infinite sequence . It follows that drops at each (cp. Proposition 2.4), which is a contradiction to Proposition 4.1. Thus, , which implies that as .
Consequently, any element of has . We show that actually . Assume that, to the contrary, for some . Let be the entire solution of (1.2) corresponding to , as above. Then (and ) for all , and for . Hence is finite for near [math] and drops at any such , which is absurd. Thus we have showed that .
To conclude, assume and fix , . Then is bounded by Proposition 4.1. However, in the considered range we have (see [39, 36]) and the zeros of are simple. The convergence of to therefore implies that as , a contradiction. Thus, and we have proved the desired conclusion . ∎
Proof of Theorem 1.8.
Assume that is not a steady state of (1.10). We know from Subsection 2.4 that each of the sets , is a singleton consisting of either for some , or . In addition, and monotonicity of the energy functional (cp. Proposition 2.2) gives . Obviously, if and only if (1.8) fails; if (1.8) holds, we necessarily have for some .
We next prove that where for some (possibly ). For that, we just need to show that . If , this follows from Proposition 2.3, as already noted in Subsection 2.4 (thus, or in this case). If and (1.8) fails, then the relation follows from .
If and (1.8) is true, Proposition 4.1 applies. Let be as in the proposition. Suppose . Since for any (see [39] or [36]), for all sufficiently large , the function has at least zeros. Pick any such and set . By the scaling invariance of equation (1.1), we can write . Using this and the relation between and (cp. (4.1)), we obtain, for ,
[TABLE]
and we have a contraction to Proposition 4.1.
To complete the proof of Theorem 1.8, it remains to show that implies the convergence
[TABLE]
in (and not just in , the space used in the definition of ), and that in conjunction with (1.8) implies the convergence
[TABLE]
in . The latter is a simpler: (4.5) follows from the convergence in , the boundedness of as (condition (1.8)), and parabolic estimates.
The former can be proved similarly once we show that as the function stays bounded on a neighborhood of the origin. For this, we use a “no-needle” lemma, Lemma 2.14 of [20]. Consider the functions , . Since the sequence converges in to , a bounded function, [20, Lemma 2.14] yields positive constants , such that on for . Making larger if necessary, we may also assume that . Take now any and let be the solution of
[TABLE]
Then is defined (at least) on a small interval and, making smaller if needed, we have on . Since , for all sufficiently large . Since also for all and , we obtain from the comparison principle that for all if is large enough. This is the desired estimate, from which (4.4) is proved easily. ∎
We remark that the monotonicity of implies that the steady states and in (1.11) satisfy .
5 Further results and applications
In the following theorem, we consider two classes of positive radial solutions of (1.1) for . The first class consists of solutions which exhibit a type II blowup and the second class of global solutions which decay to 0 with rate slower than , or do not decay at all. As an application of our new Liouville theorem, Theorem 1.6, we show that at least along a sequence of times, the profiles of the solutions have a limit.
Theorem 5.1**.**
Let and be a positive radial solution of (1.1) in . Assume that
[TABLE]
Then there exist such that
[TABLE]
uniformly in .
In the blowup case, this theorem is known to hold for any under the extra assumption that : a long and technically involved proof can be found in [19]. The convergence in (5.1) plays a key role in [19] in the study of blowup rates and profiles.
Proof of Theorem 5.1.
The proof is based on doubling, scaling, one-dimensional Liouville theorem, and Theorem 1.6.
Considering equation (1.1) on the time interval instead of (where ) we may assume that
[TABLE]
Set
[TABLE]
Our assumptions imply that there exist such that , where ( if ). The Doubling Lemma [30, Lemma 5.1] guarantees that, possibly after modifying the sequence , the following additional condition is satisfied for : whenever .
Set . We claim that given any there exists such that for a suitable subsequence of we have whenever . Assume that no such exist. Then we can find (a subsequence of still denoted by and) such that and . Set
[TABLE]
Then for , satisfies the equation
[TABLE]
is bounded in by a constant independent of , and . Since , (a suitable subsequence of) converges to a positive solution of (1.2) with , which contradicts the corresponding Liouville theorem (see the second part of Theorem 1.1). The claim is thus proved.
Take now a decreasing sequence . Using a diagonalization argument, we find a subsequence of such that whenever and is large enough.
Next set
[TABLE]
Then satisfies the equation
[TABLE]
is bounded by 2 in , and attains its maximum 1 in the compact set (since for ). A suitable subsequence of converges (in , for example) to a positive solution of (1.2), hence to a steady state . Since , we have . Since for and large enough, we see that the convergence is uniform on . ∎
We now return to the classification problem for entire solutions satisfying (1.8) (cp. Theorem 1.7). As mentioned in the introduction, we believe that the statement of Theorem 1.7 holds also in the range . We can actually prove this, see Proposition 5.2 below, provided the following condition on the energies of steady states of (2.2) is satisfied:
[TABLE]
This looks plausible, although the proof may not be easy. One way (5.4) could be verified is by proving the existence of a solution of (2.2) connecting to , for any . Then the monotonicity of the energy would give (5.4) immediately. The question whether such connections indeed exist is of independent interest. A positive answer would give an interesting information on the variety of entire solutions of (2.2). What seems to be crucial for establishing the connections is a description of the (global) bifurcation diagram for the steady states of (2.2) when decreases from down to . Optimally, one would prove that all classical steady states lie on bifurcation branches emanating from the singular steady state at some bifurcation values of . If this could be proved, then there is hope that the connections can first be established locally, near bifurcation points, then globally by continuation, somewhat in the spirit of [9, Section 3].
Proposition 5.2**.**
Let . Assume (5.4). If is a positive radial bounded solution of (1.2) satisfying (1.8), then (i.e. is a homoclinic solution to the trivial steady state).
Proof.
Assume . Let be a positive radial bounded solution of (1.2) satisfying (1.8) and let be the constant from (1.8). Set . As proved in [29], the set is finite. Using (5.4), we find such that
[TABLE]
Using Proposition 4.1 and the same arguments as in the proof of Theorem 1.7, one shows that for some . We need to prove that . Suppose for a contradiction that . Set . Then is a positive radial bounded solution of (1.2) satisfying (1.8) and . Notice that as . Therefore, we can find and such that . Let be the rescaled function corresponding to and . Then , hence . Assumption (1.8) guarantees that
[TABLE]
hence for some , and we have a contradiction to (5.5). ∎
Remark 5.3**.**
Condition (5.4) is also sufficient for the validity of Theorem 1.8 for (cp. Remark 1.11). Indeed, the proof of Theorem 1.8 as given above applies in the case with a single exception of the argument we used for proving the relation in the case that for some . Obviously, if (5.4) holds, then instead of that argument one can simply refer to the monotonicity of the energy functional. **
Acknowledgment. A major part of this research was done during visits of the second author at the University of Minnesota and the first author at the Comenius University. We thank the mathematics departments at these universities for the hospitality.
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