Asymptotic profiles of solutions to viscous Hamilton-Jacobi equations
Said Benachour (IECN), Grzegorz Karch, Philippe Lauren\c{c}ot (MIP)

TL;DR
This paper classifies the long-term behavior of solutions to viscous Hamilton-Jacobi equations, showing they asymptotically resemble specific self-similar solutions, providing a comprehensive understanding of their asymptotic profiles.
Contribution
It offers a detailed classification of the asymptotic profiles of solutions to viscous Hamilton-Jacobi equations, identifying the roles of singular and viscosity self-similar solutions.
Findings
Solutions asymptotically approach singular self-similar solutions
Solutions also tend towards viscosity self-similar solutions
The classification clarifies the long-term behavior of these equations
Abstract
The large time behavior of solutions to Cauchy problem for viscous Hamilton-Jacobi equation is classified. The large time asymptotics are given by very singular self-similar solutions on one hand and by self-similar viscosity solutions on the other hand
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Asymptotic profiles of solutions
to viscous Hamilton-Jacobi equations
Saïd Benachour
Institut Elie Cartan-Nancy, Université Henri Poincaré
BP 239, F-54506 Vandœuvre lès Nancy cedex, France
E-mail: [email protected]
Grzegorz Karch
Instytut Matematyczny, Uniwersytet Wrocławski
pl. Grunwaldzki 2/4, 50-384 Wrocław, Poland
Institute of Mathematics, Polish Academy
of Sciences, Warsaw (2002-2003)
E-mail: *[email protected]
*Philippe Laurençot
Mathématiques pour l’Industrie et la Physique
CNRS UMR 5640, Université Paul Sabatier-Toulouse 3
118 route de Narbonne, F-31062 Toulouse cedex 4, France
E-mail: [email protected]
Abstract
000 2000 Mathematics Subject Classification: 35K15, 35B40.
The large time behavior of solutions to the Cauchy problem for the viscous Hamilton-Jacobi equation is classified. If , it is shown that non-negative solutions corresponding to integrable initial data converge in as toward a multiple of the fundamental solution for the heat equation for every (diffusion-dominated case). On the other hand, if , the large time asymptotics is given by the very singular self-similar solutions of the viscous Hamilton-Jacobi equation.
For non-positive and integrable solutions, the large time behavior of solutions is more complex. The case corresponds to the diffusion-dominated case. The diffusion profiles in the large time asymptotics appear also for provided suitable smallness assumptions are imposed on the initial data. Here, however, the most important result asserts that under some conditions on initial conditions and for , the large time behavior of solutions is given by the self-similar viscosity solutions to the non-viscous Hamilton-Jacobi equation supplemented with the initial datum if and .
Résumé
Nous classifions le comportement asymptotique des solutions du problème de Cauchy pour l’équation de Hamilton-Jacobi avec diffusion . Si , nous montrons que, lorsque , les solutions intégrables et positives convergent dans vers un multiple de la solution fondamentale de l’équation de la chaleur pour tout (diffusion dominante). Ensuite, si , le comportement asymptotique est décrit par la solution très singulière auto-similaire de l’équation de Hamilton-Jacobi avec diffusion.
En ce qui concerne les solutions intégrables et négatives, la situation est plus complexe. Le terme de diffusion est de nouveau dominant si , ainsi que lorsque pourvu que la donnée initiale soit suffisamment petite. Ensuite, pour , nous identifions une classe de données initiales pour laquelle le comportement asymptotique des solutions est donné par une solution de viscosité auto-similaire de l’équation de Hamilton-Jacobi avec la condition initiale (non continue) si et .
Keywords: Diffusive Hamilton-Jacobi equation, self-similar large time behavior, Laplacian unilateral estimates.
Mots-clés : Equation de Hamilton-Jacobi diffusive, comportement asymptotique auto-similaire, estimations unilatérales du Laplacien.
1 Introduction
We investigate the large time behavior of integrable solutions to the Cauchy problem for the viscous Hamilton-Jacobi equation
[TABLE]
where . The dynamics of the solutions to (1.1)-(1.2) is governed by two competing effects, namely those resulting from the diffusive term and those corresponding to the “hyperbolic” nonlinearity . Our aim here is to figure out whether one of these two effects rules the large time behavior, according to the values of and the initial data . Since the nonlinear term is non-negative, it acts as an absorption term for non-negative solutions and as a source term for non-positive solutions. We thus consider separately non-negative and non-positive solutions. Let us outline our main results now.
For non-negative initial data, it is already known that diffusion dominates the large time behavior for and that the nonlinear term only becomes effective for [1, 4, 6, 8]. We obtain more precise information in Theorems 2.1 and 2.2 below. In particular, if and the initial datum decays sufficiently rapidly at infinity, there is a balance between the diffusive and hyperbolic effects: the solution behaves for large like the very singular solution to (1.1), the existence and uniqueness of which have been established in [5, 3, 23].
For non-positive initial data, there are two critical exponents and , as already noticed in [21], and the picture is more complicated. More precisely, the diffusion governs the large time dynamics for any initial data if and for sufficiently small initial data if , and we extend the result from [21, Proposition 2.2] in that case (cf. Theorem 2.3, below). On the other hand, when , we prove that, for sufficiently large initial data, the large time behavior is governed by the nonlinear reaction term. This fact is also true for any initial datum if and is sufficiently close to . We actually conjecture that the nonlinear reaction term always dominates in the large time for any non-zero initial datum as soon as .
Let us finally mention that, when , there is at least one (self-similar) solution for which there is a balance between the diffusive and hyperbolic effects for large times [7].
Before stating more precisely our results, let us recall that for every initial datum the Cauchy problem (1.1)-(1.2) has a unique global-in-time solution which is classical for positive times, that is
[TABLE]
In addition, this solution satisfies the estimates
[TABLE]
Moreover, by the maximum principle, implies that and ensures that . We refer the reader to [1, 4, 17] for the proofs of all these preliminary results. In addition, a detailed analysis of the well-posedness of (1.1)-(1.2) in the Lebesgue spaces may be found in the recent paper [7].
Notations. The notation to be used is mostly standard. For , the -norm of a Lebesgue measurable real-valued function defined on is denoted by . We will always denote by the norm of any other Banach space used in this paper. Also, denotes the Sobolev space consisting of functions in whose first order generalized derivatives belong to . The space of compactly supported and -smooth functions in is denoted by , and is the set of continuous functions such that
[TABLE]
For a real number , we denote by its positive part and by its negative part. The letter will denote generic positive constants, which do not depend on and may vary from line to line during computations. Throughout the paper, we use the critical exponent
[TABLE]
2 Results and comments
As already outlined, the large time behavior of solutions to (1.1)-(1.2) is determined not only by the exponent of the nonlinear term but also by the sign, size, and shape of the initial conditions. In the present paper, we attempt to describe this variety of different asymptotics of solutions, imposing particular assumptions on initial data. In order to present our results in the most transparent form, we divide this section into subsections.
2.1 Non-negative initial conditions
In Theorems 2.1 and 2.2 below, we always assume that
[TABLE]
and we denote by the corresponding non-negative solution of the Cauchy problem (1.1)-(1.2). In that case, we recall that is a non-increasing function and that belongs to . In addition,
[TABLE]
satisfies if and if (cf. [1, 4, 6], for details). Since we would have for the linear heat equation, we thus say that diffusion dominates the large time behavior when , that is, when .
We first consider the diffusion-dominated case.
Theorem 2.1
Suppose (2.1) and that . For every ,
[TABLE]
and
[TABLE]
Here, is the fundamental solution of the heat equation.
When , the relation (2.3) is proved in [8] and Theorem 2.1 extends the convergence of towards a multiple of to , .
Remark 2.1 Theorem 2.1 holds true when (i.e. for ) as well, but in that case, the relation (2.3) says only that tends to 0 as faster than .
Our next theorem is devoted to the balance case when a particular self-similar solution of (1.1) appears in the large time asymptotics.
Theorem 2.2
Suppose (2.1). Assume that and, moreover, that
[TABLE]
For every ,
[TABLE]
and
[TABLE]
where is the very singular self-similar solution to (1.1).
For the existence and uniqueness of the very singular solution to (1.1), we refer the reader to [5, 3, 23]. Notice also that the initial datum is integrable by assumption (2.5) since for .
Remark 2.2 In the critical case , it is also expected that converges towards a multiple of with a correction in the form of an extra logarithmic factor resulting from the absorption term. This conjecture is supported by what is already known for non-negative solutions to the Cauchy problem (see, e.g., [25] and the references therein).
2.2 Non-positive initial conditions
We now turn to non-positive solutions and assume that
[TABLE]
We denote by the corresponding non-positive solution of the Cauchy problem (1.1)-(1.2). In that case, we recall that is a non-decreasing function and put
[TABLE]
Substituting in (1.1)-(1.2) we obtain that is a non-negative solution to
[TABLE]
which has been studied in [7, 16, 17, 21].
We start again with the diffusion-dominated case.
Theorem 2.3
Suppose (2.8).
a) Assume that . Then and belongs to . In addition, is given by (2.2) and the relations (2.3) and (2.4) hold true for every .
b) Assume that . There exists such that, if
[TABLE]
then the conclusions of part a) are still valid.
The fact that under the assumptions of Theorem 2.3 is established in [21], together with the relation (2.3) for . We extend here this convergence to , .
The smallness assumption imposed in (2.11) is necessary to obtain the heat kernel as the first term of the asymptotic expansion of solutions. This is an immediate consequence of the following theorem and the subsequent discussion.
Theorem 2.4
Suppose (2.8) and that .
a) There exists a non-positive self-similar solution
[TABLE]
to (1.1) such that
[TABLE]
for all .
b) There is a constant such that, if satisfies
[TABLE]
then
[TABLE]
The first part of Theorem 2.4 is proved in [7] while the second assertion is new. Let us point out here that, for the Hamilton-Jacobi equation , the -norm of solutions remains constant throughout time evolution, while it decays to zero for the linear heat equation. We thus realize that, under the assumptions of Theorem 2.4 b), the diffusive term is not strong enough to drive the solution to zero in as and the large time dynamics is therefore ruled by the Hamilton-Jacobi term .
Unfortunately, the conditions (2.11) and (2.12) do not involve the same quantities. Still, we can prove that if fulfils
[TABLE]
(which clearly implies (2.12) since ), the quantity cannot be small. Indeed, there is a constant depending only on and such that
[TABLE]
For the proof of (2.14), put and note that the Gagliardo-Nirenberg inequalities
[TABLE]
imply that
[TABLE]
whence the above claim.
We next show that the second assertion of Theorem 2.4 is also true when .
Theorem 2.5
Suppose (2.8) and that . There is a constant such that, if fulfils (2.12), then (2.13) holds true.
Furthermore, if and , then .
We actually conjecture that for any , but we have yet been unable to prove it.
The last result confirms the domination of the Hamilton-Jacobi term for large times when (2.13) holds true and provides precise information on the large time behavior.
Theorem 2.6
Let . Assume that fulfils (2.8) and is such that
[TABLE]
Then
[TABLE]
where is given by
[TABLE]
for . In fact, is the unique viscosity solution in to
[TABLE]
with the bounded and lower semicontinuous initial datum if and .
The last assertion of Theorem 2.6 follows from [24]. Moreover, is actually given by the Hopf-Lax formula
[TABLE]
for , where denotes the characteristic function of the set . Observe that is a self-similar solution to (2.18) since .
If , the convergence stated in Theorem 2.6 extends to the gradient of .
Proposition 2.1
Assume that and consider a non-positive function in . Under the assumptions and notations of Theorem 2.6, we have also
[TABLE]
for .
In fact, if and , the function is a solution to the convection-diffusion equation
[TABLE]
with initial datum and satisfies
[TABLE]
The large time behavior of non-negative or non-positive integrable solutions to (2.19) is now well-identified [12, 13] but this is far from being the case for solutions satisfying (2.20). In this situation, some sufficient conditions on are given in [19] for the solution to (2.19) to exhibit a diffusion-dominated large time behavior. Also, convergence to -waves is studied in [20] but, for solutions satisfying (2.20), no condition is given in that paper which guarantees that really behaves as an -wave for large times. As a consequence of our analysis, we specify such a condition and also provide several new information on the large time behavior of solutions to (2.19) satisfying (2.20). Results on the large time behavior of solutions to equation (2.19) satisfying the condition (2.20) are reviewed in the companion paper [2].
We finally outline the contents of the paper: the next section is devoted to some preliminary estimates. Theorems 2.1 and 2.3 (diffusion-dominated case) are proved in Section 4 and Theorem 2.2 in Section 5. The remaining sections are devoted to the “hyperbolic”-dominated case: Theorems 2.4 and 2.5 are proved in Section 5 and Theorem 2.6 and Proposition 2.1 in Section 6.
3 Preliminary estimates
Let us first state a gradient estimate for solutions to (1.1) which is a consequence of [4, Theorem 1] (see also [17, Theorem 2]). Note that, in this section, we do not impose a sign condition on the solution to (1.1).
Proposition 3.1
Assume that is the solution to (1.1)-(1.2) corresponding to the initial datum . For every , there is a constant depending only on such that
[TABLE]
Proof. Setting , it readily follows from (1.1) and the maximum principle that is a non-negative solution to (1.1). By [4, Theorem 1], there is a constant depending only on such that
[TABLE]
Since and , we further deduce that
[TABLE]
whence (3.1).
Next, we derive estimates for the second derivatives of solutions to (1.1)-(1.2) when .
Proposition 3.2
Under the assumptions of Proposition 3.1, if , the Hessian matrix of satisfies
[TABLE]
for , where is a positive constant depending only on .
Furthermore, if ,
[TABLE]
In Proposition 3.2, denotes the identity matrix of . Given two matrices and in , we write if for every vector .
For , the estimates (3.2) and (3.3) follow from the analysis of Hamilton [18] (since, if is a non-negative solution to the linear heat equation , the function solves (1.1) with ). In Proposition 3.2 above, we extend that result to any .
Remark 3.1 The estimates (3.2) and (3.3) may also be seen as an extension to a multidimensional setting of a weak form of the Oleinik type gradient estimate for scalar conservation laws. Indeed, if and , then is a solution to in . The estimates (3.2) and (3.3) then read
[TABLE]
for , respectively, and we thus recover the results of [15, 20] in that case.
Proof of Proposition 3.2. For , we put . It follows from equation (1.1) that
[TABLE]
Consider now and set
[TABLE]
Multiplying (3) by and summing up the resulting identities yield
[TABLE]
Thanks to the following inequalities
[TABLE]
and
[TABLE]
and since , the right-hand side of identity (3.6) can be bounded from above. We thus obtain
[TABLE]
Consequently,
[TABLE]
where the parabolic differential operator is given by
[TABLE]
On the one hand, since and , it is straightforward to check that
[TABLE]
satisfies with for all . The comparison principle then entails that for , from which we conclude that
[TABLE]
and
[TABLE]
In other words, (3.2) and (3.4) hold true.
On the other hand, we infer from (3.1) that
[TABLE]
satisfies with for all . We then use again the comparison principle as above and obtain (3.3).
Remark 3.2 Since and may vanish, the proof of Proposition 3.2 is somehow formal because of the negative powers of in (3.6). It can be made rigorous by first considering the regularised equation
[TABLE]
for , and then letting as in [4].
In fact, we need a particular case of Proposition 3.2.
Corollary 3.1
Under the assumptions of Proposition 3.2
[TABLE]
for , where and are positive constants depending only on and .
Furthermore, if ,
[TABLE]
Proof. Consider and define by and if . We take in (3.7) and obtain that , that is,
[TABLE]
in . Summing the above inequality over and recalling that
[TABLE]
we end up with
[TABLE]
in . We next proceed as in the proof of Proposition 3.2 to complete the proof of Corollary 3.1.
4 Diffusion-dominated case
The proofs of Theorems 2.1 and 2.3 rely on some properties of the non-homogeneous heat equation which we state now. Similar results have already been used in [8, 21].
Theorem 4.1
Assume that is the solution of the Cauchy problem to the linear non-homogeneous heat equation
[TABLE]
with and . Then
[TABLE]
where
[TABLE]
Assume further that there is such that for every and
[TABLE]
Then
[TABLE]
and
[TABLE]
Proof. We first observe that the assumptions on and warrant that is finite, and we refer to [8] for the proof of (4.3). We next assume (4.4) and prove (4.6). Let and . By the Duhamel formula,
[TABLE]
It follows from the Young inequality that
[TABLE]
Also, classical properties of the heat semigroup (see, e.g., [11]) ensure that
[TABLE]
and
[TABLE]
for every . Since, by elementary calculations, we have
[TABLE]
the previous relations imply that
[TABLE]
The above inequality being valid for any , we may let and conclude that (4.6) holds true. The assertion (4.5) then follows from (4.3) and (4.6) by the Gagliardo-Nirenberg inequality.
Proof of Theorem 2.1. Since is non-negative, we infer from [4, Eq. (17)] that there is a constant such that
[TABLE]
Also, is a subsolution to the linear heat equation and therefore satisfies
[TABLE]
for every by the comparison principle. Since , we obtain that
[TABLE]
for , because . Theorem 2.1 then readily follows by Theorem 4.1 with .
Proof of Theorem 2.3, part a). Since , we infer from [21] that is finite and negative and that
[TABLE]
Setting , it follows from (1.3) that in . The comparison principle then entails that , where is the solution to
[TABLE]
The Hopf-Cole transformation then implies that solves
[TABLE]
Therefore, for ,
[TABLE]
since . Recalling that , we end up with
[TABLE]
It next follows from [17, Theorem 2] that
[TABLE]
which, together with (4.8), yields
[TABLE]
Recalling (1.3), we also have
[TABLE]
We next put
[TABLE]
which is finite by [7]. Since and , we infer from the Duhamel formula and (4.10) that, for ,
[TABLE]
whence
[TABLE]
Consequently, there is sufficiently small such that
[TABLE]
for . Now, for ,
[TABLE]
from which we deduce that
[TABLE]
We have thus proved that
[TABLE]
We finally infer from (4.9), (4.11) and the Hölder inequality that
[TABLE]
for , and we conclude as in the proof of Theorem 2.1.
Proof of Theorem 2.3, part b). Since , we obtain from [21] that there is such that, if fulfils (2.11), then is finite and negative and there are and such that
[TABLE]
In particular,
[TABLE]
We next claim that
[TABLE]
Indeed, we fix such that and define and a sequence by
[TABLE]
We now proceed by induction to show that, for each , there is such that
[TABLE]
Thanks to (3.1), the assertion (4.15) is true for . Assume next that (4.15) holds true for some . We infer from (4.12), (4.15) and the Duhamel formula that
[TABLE]
where
[TABLE]
Since and , we have
[TABLE]
for . Consequently, for ,
[TABLE]
while (1.3) implies that the same inequality is valid for for a possibly larger constant . Thus (4.15) is true for , which completes the proof of (4.15). To obtain (4.14), it suffices to note that since .
Now, owing to (4.13) and (4.14), we are in a position to apply Theorem 4.1 and conclude that (2.3) and (2.4) holds true for and . The general case then follows by the Hölder inequality.
5 Convergence towards very singular solutions
The goal of this section is to prove Theorem 2.2. Recall that we assume that and that is a non-negative and integrable function satisfying in addition
[TABLE]
with . We define
[TABLE]
where and observe that is finite by (5.1).
Denoting by the corresponding solution to (1.1) and introducing
[TABLE]
we infer from [5, Lemma 2.2 & Proposition 2.4] that there is a constant depending only on and such that
[TABLE]
for each and
[TABLE]
Here, is given by , .
Let us observe at this point that decay estimates for in can be deduced from (5.2) and the Duhamel formula.
Lemma 5.1
For , there is a constant depending only on , and such that
[TABLE]
Proof. Indeed, since is non-negative, it follows from [4, Theorem 1] that
[TABLE]
for , which, together with (5.2) and the Duhamel formula entails that, for ,
[TABLE]
Interpolating between (5.2) and the above estimate yields (5.4).
In order to investigate the large time behavior of , we use a rescaling method and introduce the sequence of rescaled solutions defined by
[TABLE]
Lemma 5.2
For , we have
[TABLE]
for and
[TABLE]
Proof. It is straightforward to check that, for each , is the solution to (1.1) with initial datum and satisfies estimates (5.5) and (5.6) as a consequence of (5.2) and (5.3).
We next use (1.1) and the non-negativity of to control the behavior of for large uniformly with respect to . For , and , we put
[TABLE]
Lemma 5.3
For every , we have
[TABLE]
Proof. Let be a non-negative function in such that and
[TABLE]
For and , we set . As is a non-negative solution to (1.1), we have
[TABLE]
Owing to (5.1) and (5.6), we further obtain that, for ,
[TABLE]
Lemma 5.3 then readily follows since .
We finally study the behavior of for small times.
Lemma 5.4
Let . There is a positive constant depending only on , and such that
[TABLE]
for and .
Proof. We fix and use the same notations as in the proof of Lemma 5.3. Thanks to the properties of , we infer from (5.9) with that, for and ,
[TABLE]
where we have used (5.6) to obtain the last inequality.
Proof of Theorem 2.2. Owing to Lemma 5.2 and Lemma 5.3 we may proceed as in [4, Theorem 3] to prove that there are a subsequence of (not relabeled) and a non-negative function
[TABLE]
satisfying
[TABLE]
and
[TABLE]
for every and .
It remains to identify the behavior of as . On the one hand, consider and . Since as , we have for large enough and it follows from Lemma 5.4, (5.1) and (5.11) that
[TABLE]
Consequently,
[TABLE]
On the other hand, consider and set . For , we denote by the solution to (1.1) with initial datum given by , . Since , we have for and the comparison principle warrants that
[TABLE]
We next observe that converges narrowly towards as ( denoting the Dirac mass at ). We then proceed as in [4] to conclude that
[TABLE]
for every and , where denotes the unique non-negative solution to (1.1) with initial datum [4]. Recalling (5.11) and (5.13), we realize that
[TABLE]
The above inequality being valid for any , it is then straightforward to deduce that
[TABLE]
In other words, is a very singular solution to (1.1) and the uniqueness of the very singular solution to (1.1) (cf. [3, 23]) implies that , where is the very singular solution to (1.1), see Theorem 2.2. The uniqueness of the limit actually entails that the whole sequence converges towards in for and . Expressed in terms of , we have thus shown that
[TABLE]
Finally, it follows from (5.2), (5.15) and the Gagliardo-Nirenberg inequality that (2.6) holds true.
The last step of the proof is to obtain the convergence (2.7) for the gradients. Consider , and . By the Duhamel formula, we have
[TABLE]
where we have used the fact that
[TABLE]
by (5.2) and the properties of in order to obtain the last inequality. Consequently, by the definition of and the change of variables , we obtain
[TABLE]
Now, introducing
[TABLE]
which is finite by (5.4), we may let in the above inequality and use (5.15) to conclude that
[TABLE]
Finally, the choice of sufficiently close to 1 readily yields that , from which (2.7) follows.
6 Proofs of Theorems 2.4 and 2.5
Proof of Theorem 2.4, part a). The required non-positive self-similar solution
[TABLE]
is constructed and studied in [7, Theorem 3.5]. In particular, it is shown that the self-similar profile is a radially symmetric bounded function. Moreover, the profile and its first derivative both decay exponentially as (see [7, Proposition 3.14])
Proof of Theorem 2.4, part b). Recall that by assumption (2.8), is a non-positive solution to (1.1). For , we put . The comparison principle ensures that is a non-decreasing function of time and
[TABLE]
Since is a classical solution to (1.1), it follows from (1.1) that
[TABLE]
for every and . Therefore,
[TABLE]
and we infer from (3.9) and (3.10) that
[TABLE]
for and . Since , we may let in the above inequality and obtain with the choice that there is a constant depending only on such that
[TABLE]
Therefore, if , we readily conclude from (6.1) that , whence (2.13).
Proof of Theorem 2.5. The proof of the first assertion of Theorem 2.5 is the same as that of Theorem 2.4, part b), hence we skip it. We next assume that and that . For , we put
[TABLE]
Since is a non-positive subsolution to the linear heat equation, we infer from classical properties of the heat semigroup that
[TABLE]
for large enough. As , this estimate and (3.9) entail that, for large enough,
[TABLE]
since . Consequently, there exists large enough such that and we may apply the first assertion of Theorem 2.5 to to complete the proof.
Under the assumptions of Theorem 2.4, part b) or Theorem 2.5, we may actually bound the -norm of from below and improve significantly [21, Proposition 2.1].
Proposition 6.1
Assume that satisfies (2.8) and that
[TABLE]
Then there is a constant such that
[TABLE]
Proof. We fix . For , let be such that . For , it follows from (3.1) and the time monotonicity of that
[TABLE]
Letting and choosing yields the claim (6.2).
7 Proof of Theorem 2.6 and Proposition 2.1
Proof of Theorem 2.6.
STEP 1. Recall that, by (2.8), is a non-positive function. We assume further that is compactly supported in a ball of for some .
For , we introduce
[TABLE]
which solves
[TABLE]
with initial datum .
Lemma 7.1
There is a constant such that, for and ,
[TABLE]
Proof. It first follows from (1.3) that
[TABLE]
while Proposition 3.1 yields
[TABLE]
We next infer from [16, Theorem 5] that
[TABLE]
which completes the proof.
Owing to Lemma 7.1, we may apply the Arzelà-Ascoli theorem and deduce that there are a subsequence of (not relabeled) and a non-positive function such that
[TABLE]
for any and . It also follows from (7.3) and Lemma 7.1 that and satisfies
[TABLE]
for each . We next introduce the function defined by
[TABLE]
where denotes the subset of symmetric matrices of and denotes the trace of the matrix . On the one hand, we notice that (7.1) reads
[TABLE]
and that is elliptic. On the other hand, converges uniformly on every compact subset of towards given by . Therefore, for every , is the unique viscosity solution to (2.18) with initial datum ( see, e.g., [10, Proposition IV.1] and [9, Theorem 4.1]). In addition, since is bounded and Lipschitz continuous by (7.4), we infer from [14, Section 10.3, Theorem 3] that is given by the Hopf-Lax formula
[TABLE]
for .
It remains to identify the behavior of as . Consider first , and . We infer from (3.9) and (7.1) that
[TABLE]
Since , we may pass to the limit as in the previous inequality and use (7.3) to deduce that is non-increasing for every . Since is bounded by (7.4), we may thus define by
[TABLE]
In particular, is a lower semicontinuous function as the supremum of continuous functions.
More information on are consequences of the next result.
Lemma 7.2
For each , there is such that if and
[TABLE]
Moreover, as .
Taking Lemma 7.2 for granted, we see that (7.6) and Lemma 7.2 imply that for since as . We set , so that
[TABLE]
and fix . We will now proceed along the lines of [24] to show that (recall that is defined in (2.17)). Introducing the notation , it follows from (7.6) and Lemma 7.2 that, for and ,
[TABLE]
with
[TABLE]
while, for and ,
[TABLE]
The previous bounds from below and (7.5) entail that
[TABLE]
for . Since as and , we may pass to the limit as in the above inequality and obtain
[TABLE]
for . Letting yields
[TABLE]
On the other hand, (7.5) and (7.6) ensure that
[TABLE]
whence by the continuity of in . We have thus shown that . In particular, for . But (2.15) and (7.7) imply
[TABLE]
whence and . For , the sequence has thus only one possible cluster point in as , from which we conclude that the whole family converges to in as . In particular, for ,
[TABLE]
Setting and using the self-similarity of , we are finally led to (2.16).
STEP 2. We now consider an arbitrary function fulfilling (2.8) and such that (2.15) holds true. There is a sequence of non-positive functions in such that
[TABLE]
For , we denote by the solution to (1.1) with initial datum and put
[TABLE]
By [17, Corollary 4.3], we have
[TABLE]
from which we readily deduce that
[TABLE]
Consequently, as and (2.15) guarantees that for large enough. The analysis performed in the previous step then implies that
[TABLE]
for large enough. Therefore,
[TABLE]
whence
[TABLE]
for large enough. Letting then completes the proof of Theorem 2.6.
Proof of Lemma 7.2. Let be a non-positive function in such that if (recall that is compactly supported in ). We denote by the solution to the one-dimensional viscous Hamilton-Jacobi equation
[TABLE]
For and , we put and notice that is the solution to (1.1) with initial datum . The comparison principle then entails that
[TABLE]
We next introduce and notice that is the solution to the one-dimensional convection-diffusion equation
[TABLE]
The comparison principle then entails that
[TABLE]
where and denote the solutions to (7.9) with initial data and . Since , it follows from [13] that
[TABLE]
where , , and, for , is the source solution to the one-dimensional conservation law
[TABLE]
Here, denotes the Dirac mass in centered at . The source solution is actually given by
[TABLE]
if , and
[TABLE]
if (see, e.g., [22]). In particular, satisfies
[TABLE]
Now, let and set
[TABLE]
If is such that , there is such that , whence either or . In the latter case, we infer from (7.8), (7.10) and (7.12) that
[TABLE]
Similarly, if , (7.8), (7.10) and (7.12) yield
[TABLE]
Therefore, if is such that , then
[TABLE]
Passing to the limit as in (7.13) and using (7.3) and (7.11) provide the first assertion of Lemma 7.2. We next use once more (7.3) and (7.13) to conclude that (7.7) holds true.
Proof of Proposition 2.1. We keep the notations of the proof of Theorem 2.6 and introduce
[TABLE]
It follows from (7.1) and Lemma 7.1 that
[TABLE]
and
[TABLE]
for . We recall that, by Theorem 2.6, the family converges towards in for any . Owing to (7.14), we readily conclude that converges weakly- towards in for any . We may then proceed along the lines of [13, Section 3] to show that converges towards in as . Expressing this convergence result in terms of and using (3.1) yield Proposition 2.1 by interpolation.
Acknowledgements. We thank Professor Herbert Koch for pointing out to us Ref. [18] and Professor Brian Gilding for useful comments on Proposition 3.2. The preparation of this paper was partially supported by the KBN grant 2 P03A 002 24, the POLONIUM project ÉGIDE–KBN No. 05643SE, and the EU contract HYKE No. HPRN-CT-2002-00282.
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