Large-time behavior of unbounded solutions of viscous Hamilton-Jacobi Equations in .
Abstract
We study the large-time behavior of bounded from below solutions of parabolic viscous Hamilton-Jacobi Equations in the whole space in the case of superquadratic Hamiltonians. Existence and uniqueness of such solutions are shown in a very general framework, namely when the source term and the initial data are only bounded from below with an arbitrary growth at infinity. Our main result is that these solutions have an ergodic behavior when , i.e., they behave like where is the maximal ergodic constant and is a solution of the associated ergodic problem. The main originality of this result comes from the generality of the data: in particular, the initial data may have a completely different growth at infinity from those of the solution of the ergodic problem.
Keywords: Hamilton-Jacobi equations, viscous Hamilton-Jacobi equation, unbounded solutions, large-time behavior, ergodic behavior, viscosity solutions.
MSC (2010): 35B40, 35B51, 35D40, 35K15, 35K55.
1 Introduction and main results
In this article, we consider the parabolic viscous Hamilton-Jacobi Equation
(1) | ||||
(2) |
in the case when and are bounded from below. Further assumptions on are stated as required. We immediately point out that, by changing in for , we change in and in and therefore we may assume without loss of generality that is larger than any constant and is nonnegative, two properties that we use later on.
Our main interest is the large-time behavior of the solutions of (1)-(2) but the first question concerns the existence and uniqueness of bounded from below solutions. Of course, the difficulty comes from the very general framework we wish to handle, namely the case when and are bounded from below with an arbitrary growth at infinity. We do not want to enter into details in this introduction but we just point out that we use in a key way approximations by problems set on bounded domains, and in particular on the state-constraint problem (cf. [36]) together with various regularity results and a comparison result, i.e. a Maximum Principle type result, in this general class of solutions.
Coming back to the large-time behavior, there is a vast literature for nonlinear parabolic equations, to the extent that it is practically impossible to list all relevant works. We point out anyway that, for such viscous Hamilton-Jacobi equations set in the whole space , the non-compactness of the domain and the generality of the data are well-known difficulties; on the contrary, in the periodic case, the methods introduced in [6] provide rather general answers for a large class of equations. On the other hand, problems set in bounded domains with Dirichlet boundary conditions create different type of difficulties, mainly connected to the fact that the “natural” associated stationary problems may have no solution. This is the reason why the ergodic constant and the ergodic problem come out. We refer to [36] which completely solves this problem in the superquadratic case (see also [13] for the subquadratic one).
We briefly recall the results of [36] in the superquadratic case since it shares some similarities with our problem. There are two possibilities for the large time behavior of solutions of the Dirichlet problem in with a Dirichlet boundary condition : if the corresponding stationary equation
(3) |
has a bounded subsolution, then there exists a solution of (3) and on . If (3) fails to have bounded subsolutions, one must introduce the ergodic problem with state-constraint boundary conditions
(4) |
Here is called ergodic constant, and is an unknown in problem (4), as is . Existence and uniqueness of solutions of (4) are studied in [31]: is unique while is unique up to an additive constant. Convergence of to where is a solution of (4), is then obtained.
The behavior of solutions to (1) in the subquadratic case, , studied in [13], is more complicated, as it depends now on whether or . It also becomes necessary to introduce the following problem, also studied in [31], as an analogue of (3) and (4)
(5) |
Both [13] and [36] contain a complete study of (4) and (5) in the context of viscosity solutions.
The main difficulty in our study with respect to the previously cited works is the fact that the domain is unbounded, and that under our assumptions for and , the solutions of (1)-(2) may have any growth when .
The work [26] addresses the problem of large-time behavior of unbounded solutions of (1)-(2) mainly with probabilistic techniques with -dependent Hamiltonians. It is based on explicit representation formulas for the solution of (1)-(2) which comes from the underlying stochastic optimal control problem (see, e.g. [3], [23] for standard references on this topic). To the best of our knowledge, [12] and the present work are the first to address the problem exclusively within the framework of viscosity solutions and PDE techniques. We also point out that our result holds in greater generality with respect to the data. Further comments on this are provided after the statement of our main result.
A number of works have addressed the problem set in the whole space (see e.g. [15], [16], [17], [24], [25], [32], and the works cited therein), while assuming some restriction on the behavior of the initial data at infinity, which include integrability or decay conditions, periodicity or compact support.
Concerning unbounded solutions on the whole space for first-order equations, we refer the reader to the works [14], [27], [29], and especially to the review [30], to name a few. We also mention a recent result for first-order Hamilton-Jacobi equations, [11], in a situation which is similar to ours, even if our results are obtained by an completely different approach: under the standard assumptions on the Hamiltonian, such as coercivity and locally Lipschitz continuity, the expected convergence result holds if the initial data is bounded from below. It is also shown in [11] that in certain special cases, the expected large-time behavior occurs for initial data no longer bounded from below, but fails in general. See [11] for details.
Finally, we mention the recent work [2] which—although dealing with a stationary version of (1), and in the subquadratic case—also builds upon some of the ideas of [12], and thus bears some relation to our work.
1.1 Main Results
Theorem 1.
The proof of Theorem 1 follows from an approximation of (1)-(2) by problems set in bounded domains, together with a comparison result, Theorem 4. We point out that the comparison result allows us to prove the existence result only in the case when , a case in which we have better Lipschitz estimates since they hold up to .
To determine the large-time behavior of solutions to (1)-(2) we must introduce the corresponding ergodic problem,
(6) |
where both and are unknown. Assuming that and is coercive and bounded from below, it is proved in [12] that there a exist unique constant and a unique (up to an additive constant) which together solve (6) (See Theorems 2.4 and 3.1 therein). We also use key ideas and computations from [12] in the the proofs of Lemmas 3 and 4, and in Theorem 4.
We now state the precise hypothesis on the right-hand side required for our main result, Theorem 2 below
-
(H1)
There exists an increasing function and constants such that for all ,
and for all and ,
Remark 1.
The previous assumption imposes no upper bound on the growth of at infinity, since no upper bound is assumed for the function . The control on on both sides by implies only that is almost radial since it “does not vary too much for , for fixed ”. It is clear that the more growth we have on , the less restrictive this condition is.
Assumption (H1) is required for the construction of the sub- and supersolutions of Section 3. It also implies that the solution of the ergodic problem (6) has superlinear growth at infinity (Lemma 4), a property which plays an important role in the proof of Theorem 2.
Theorem 2.
The proof of Theorem 2 follows the strategy of the corresponding result on bounded domains in [36]. However, there are a number of technical difficulties due to the fact that both the solution of (1)-(2) and the domain are unbounded. Heuristically, this becomes apparent in the lack the control which in the bounded-domain case is provided by the time-independent boundary conditions. This is solved by the special sub- and super solutions constructed in Lemma 5, which provide the required control “at infinity”.
We stress that this “control at infinity”, both in the preliminary results of Section 3 and in the proof of Theorem 2, is the main contribution of the present work, since it is achieved in spite of having no upper bound on the growth of from above, and no restriction whatsoever on the behavior of . In contrast, the results of [26] assume that is essentially bounded on both sides by for , where , and has at most polynomial growth.
1.2 Notation
Most of the notations appearing in the text are standard. Nonnegative constants whose precise value does not affect the argument are denoted collectively by , and it is usually indicated if they are taken within a given range, e.g., . denotes the ball of radius and center , and for simplicity we write for .
For , we say is open if and only if it is open with respect to the parabolic topology in , i.e., the topology generated by the basis (see e.g., [37]). The parabolic boundary of such a set is the topological boundary as defined by the parabolic topology. Similarly, denotes the closure of with respect to the parabolic topology in . We still write, e.g., for the closure of a subset of with respect to the usual topology, since there is little possibility of confusion. We also write for and .
1.3 Organization of the article
In Section 2 we prove the existence and uniqueness of solutions to (1)-(2), Theorem 1. In Section 3 we construct special sub- and supersolutions which will serve as comparison functions towards obtaining large-time behavior. In Section 4 we prove a result on the uniform boundedness of solutions to (1)-(2), Lemma 6, as well as our main result, Theorem 2. Finally we collect in the appendix several (already known) estimates and results which we use throughout this article.
2 Existence and uniqueness of solutions
This section is devoted to the proof of Theorem 1, stated in the introduction. We first show it in the case when , the general result being obtained at the end of the section, after the proof of the comparison result.
2.1 A first existence result
Proposition 3.
Let , and assume that are bounded from below. Then, there exists a continuous, bounded from below solution of
(7) | ||||
(8) |
To perform our approximation, we revisit the parabolic state-constraints problem on the approximating domains. Namely, for , consider
(9) | ||||
(10) | ||||
(11) |
Remark 2.
Lemma 1.
Proof of Lemma 1.
The well-posedness of (9)-(11) is a consequence of the strong comparison result proven in [9], Theorem 3.1. Existence then follows by Perron’s method, provided there exist suitable sub- and supersolutions. The subsolution can be chosen as while the construction of the supersolution is more involved because of the state-constraint boundary condition. ∎
Remark 3.
As we mention it in the introduction, we note that both and may be assumed nonnegative with no loss of generality, and even larger than any constant. A fact that we will use several times.
Lemma 2.
Using the notation of Lemma 1, if , then for all .
Proof.
The result follows from the fact the solution satisfying the state-constraints boundary condition (10) is the maximal subsolution of (9)-(11) (see e.g., [19], Section 7.C′). We provide a constructive proof of the result, however, to illustrate this notion more clearly.
Observe that, for , is in particular a subsolution of (9) in , satisfying also (11). Let , and let denote the standard mollifier in . Since (9) is convex in , is a classical subsolution of (9) in (this is Lemma 2.7 in [10]). Define, for small , and ,
(We have dropped the dependences of in , and for the sake of notational simplicity.) We claim that is a smooth subsolution of (9) in . Indeed, for all , we can compute
(12) |
And this computation, which is only valid for smooth enough can be justified if is only a continuous viscosity subsolution of (9).
We set . We remark that, by the continuity of , as . We now show that in for any . We argue by contradiction assuming that
By definition of , we have and since is smooth, the definition of the state-constraints boundary condition (10) implies that
which contradicts (12). Therefore, in . Taking the limit , then , we conclude. ∎
Proof of Proposition 3..
We are going to obtain a solution of (7)-(8) as a locally uniform limit of the solutions of Lemma 1 as .
To do so, we consider a fixed . For , we have, assuming
hence is uniformly bounded over .
2.2 A General Comparison Result
We provide in this section a general comparison result, not only in , but in a more general domain which may be a proper subset of . The following comparison result is formulated in terms of viscosity sub- and supersolutions where denotes the set of upper semi-continuous functions on , while is the set of lower semi-continuous ones.
Theorem 4.
The first main point in Theorem 4 is that the set is allowed to be unbounded. Consequently, and are allowed to be unbounded as well. Naturally, we are mainly interested in the case . However—and this is why we need such a general formulation—in the study of the large time behavior, we have to use such comparison result with a supersolution which is not defined in the whole space but on a set on which we know that if with .
Proof.
To deal with the difficulty of and being unbounded, we define
Since and are bounded from below, and are bounded. Furthermore, we have that and are respectively a sub- and supersolution of
(13) |
where is given by
(14) |
Formally, this is a straightforward computation. Given the monotonicity of the transformation defining there is no difficulty in passing the computation over to smooth test functions. Another consequence is that if and only if . Hence Theorem 4 follows from proving the same comparison result for sub- and supersolutions of (13).
We proceed with the usual scheme of doubling variables, and for simplicity we first treat the case in which is unbounded in . Assume that the conclusion of the theorem is false and . Define first, for ,
(15) |
As the penalized function on the right-hand side of (15) is upper-semicontinuous and goes to as either or , the supremum in achieved at some . From standard arguments, we have that as (see e.g., [19], Proposition 3.7), which implies that for small enough , . Moreover, since for all , we necessarily have . Define now
Again the supremum above if achieved at a point . Similarly, we know that as and remains fixed, and and for as above.
Thus, an application of Ishii’s Lemma (see [19], Theorem 3.2) gives
(16) |
We aim to bound this difference from below by a positive constant independent of . Let
where
We rewrite (16) as
(17) |
Computing
and, from (14),
we have
We proceed to bound each term in the last expression
where is a ball that contains , the points at which the maximum of is achieved, considering is fixed; is uniform in . Since as , this implies
We write . Young’s inequality gives
hence
(18) |
taking in the last inequality. The bound
(19) |
may be assumed without loss of generality by initially considering, instead of and , the functions
for all (see the comments at the beginning of the introduction). On the other hand, by direct computation,
Here we’ve used that and that , which follows easily by considering the cases and separately. We have therefore obtained
(20) |
Thus, using (2.2) and (20), for small we have
(21) |
Here we have also used the facts concerning the limits , (taken in that order) mentioned at the outset of the argument. Together with (16) and (2.2), (21) gives the desired contradiction.
Remark 4.
In [12], an analogous comparison result is proved in the complementary of ball if is large enough (depending on the coercivity for ): here, because of the parabolic framework, such argument can be performed in the whole space.
2.3 Conclusion
Proof of Theorem 1.
We note that, from Remark 3, any solution of (7)-(8) is bounded from below over , since it is nonnegative. Therefore, combining the results of Proposition 3 and Theorem 4, there exists a unique solution of (7)-(8). Since is arbitrary (in particular, with no dependence on the data) the solution can be uniquely extended to a solution of (1)-(2), which is also nonnegative. Uniqueness then follows immediately from Theorem 4. And the case when is complete.
When , we argue in the following way: by classical results, there exists a sequence of functions of such that, for any , in . If denotes the unique solution of (1) associated to the initial data , we have, by the comparison result
since in . Therefore, the Cauchy sequence converge uniformly in to the unique viscosity solution of of (1)-(2) by Theorem 4. ∎
3 Sub- and supersolutions
In this section we construct sub- and supersolutions to a modified evolution problem. This will allow us to relate the solution of (1)-(2) to the solution of the associated ergodic problem (6). To this end, we first obtain some preliminary results regarding the solution of (6).
3.1 Estimates for the solution of the ergodic problem
Lemma 3.
This result provides a surprising estimate on since this is essentially the same as if were solving the first-order PDE and is a concrete evidence that the Laplacian term just improves the estimate. But two other points may be not be so natural: first we have such estimate on in by using a bound on on the same ball , contrarily to a Bernstein estimate which would use a bound on on . Finally, and this is not the least surprising point, this estimate is based on the Hölder estimates of Capuzzo Dolcetta, Leoni and Porretta [18] which is recalled in the appendix (see Theorem 7). We point out that the same result also holds if is in for by results of Dall’Aglio and Porretta [21].
Proof.
Let , and for , define
Since is, in particular, a solution of (6) in , is a solution of
Now set and
to obtain that is a solution of
(22) |
Observe that implies that and . Since is (in particular) coercive, we have that as . Hence, for sufficiently large we obtain .
We are now in position to apply the estimate of Theorem (7) (in the appendix) to Equation (22): there exists a constant , independent of , such that
In terms of , for this gives
or, for ,
If (H1) holds, by taking, if necessary, a larger depending on , and , we conclude
(23) |
∎
Proof.
In order to prove Lemma 4, we may assume without loss of generality that in since is bounded from above and we can change in for some large constant .
We argue by contradiction. Assume that there exists a sequence with as such that
(24) |
for some , and define for ,
The function satisfies
where we have used (H1) for the last inequality together with the fact that . Hence, if , we have since is coercive and and
(25) |
where as .
In order to pass to the limit, we lack some -bounf on . To overcome this difficulty, we set
for some . For large enough, the concave function is also a supersolution of (25) and therefore so is as the minimum of two supersolutions.
Hence, the half-relaxed limit is well defined and, by stability, we have in the limit that
in the viscosity sense. For all , , hence also . Thus is a supersolution of the eikonal equation with homogeneous boundary condition since on . The latter has the unique solution . Therefore, by comparison, . However, using (24) we have
and this implies , a contradiction. ∎
3.2 Construction of sub- and supersolutions
The proof of the asymptotic behavior of is done in two main steps: the first one consists in showing that there exist two constants such that
where is a solution pair of (6). Then, in the second one, we show that this property implies the convergence.
The aim of this section is to build suitable sub- and supersolutions to perform the first step. We point out that we face here the difficulty of the transition from —which may have any growth at infinity—to , which looks like for large time.
Lemma 5.
Assume (H1) and let be any solution of (6). Then, there exist an open, nonempty set , and functions and which are bounded from below sub- and supersolution of
(26) |
in and in respectively. Furthermore, and , together with , satisfy the following:
-
(i)
For any compact , there exists a such that for all .
-
(ii)
There exist constants such that and locally uniformly in as .
-
(iii)
If either with , or and , we have
-
(iv)
There exists such that, for all ,
Remark 6.
Proof.
We begin with the construction of the supersolution , and will later indicate the necessary changes to obtain . While the constructions are similar, it is not the case that one can be obtained from the other.
Construction of the supersolution. We first define
where and are smooth functions to be chosen later on, as is the endpoint .
In order to make this choice, we assume that in and as ; Property (ii) of the lemma suggests to set
(27) |
The set on which the supersolution will be obtained is . We will check that has the required properties once the choice of is made. Also, to have a suitable behavior of the supersolution on in order to have Property (iii), we require that
(28) |
To continue to identify the required properties on we perform a preliminary computation, in which the argument in the derivatives of will be omitted to have simpler notations. Using (6), we have
(29) |
Here we have used Young’s inequality and to control the term containing and dropped the resulting nonnegative expression in .
At this point it is perhaps convenient to outline our main argument: it follows from (27) and (3.2) that if , then as defined at the outset is trivially a supersolution of (26). Thus, the crucial point of the proof is to show that if , then is necessarily large. The precise size of which is needed can be precisely quantified through (H1) and Lemma 3, and this allows us to bound the right-hand side of (3.2) from below.
To this end, we have to control more precisely the term containing in the last line of (3.2) by choosing in a right way. We want to have
(30) |
for a suitable function which gives a uniform bound from below for the expression
From (27) and (28), we know takes values from to , thus must have at most linear growth. The correct choice for estimate (30) turns out to be , where can be taken arbitrarily close to . We state and prove the existence of such in Proposition 5 at the end of this section in order to continue with our main argument.
Continuing from (3.2) and using Proposition 5, we now have
(31) |
From the previous considerations, we assume henceforth that . Using Lemma 3, we have,
and from (H1),
(32) |
(In fact, reasoning as in Remark 3, the term on the right may be omitted, but this is of little relevance to the computation.) Thus, if is chosen large compared to , we have , and may use Young’s inequality again to estimate
(33) |
Furthermore, (32) implies that for some and large enough we have
Consequently,
(34) |
We write , and let
At this point we set . Thus, the set —as defined at the beginning of the proof—is open and satisfies Property (i) of the lemma. In fact, it is easy to see by using the continuity of that given a compact set , can chosen large enough so that , and by construction, it is clear that if then for all . We remark that Property (i) is required to take the limits in Property (ii).
With respect to the previous computations, since , can be taken large while remains bounded, as was assumed. Furthermore, since can be made arbitrarily large by taking close to 1 and , the integral defining remains bounded as . We write for further reference
(35) |
Note also that is smooth and for all .
To summarize, defining
with and as above, yields, by (3.2) and (34), that
Finally, since is bounded from below and both and are smooth and nonnegative, is bounded from below.
It is easy to check that satisfies parts (ii) and (iii) of the lemma. Let be a compact set. Then, for large enough , so that for all , we have by (27). Thus, as ,
uniformly over . On the other hand, for fixed and any , the definition of implies that approaches from below as , and similarly for if . This implies Property (iii).
Construction of the subsolution. As mentioned earlier, the construction of the subsolution is analogous. We briefly go over the main points. Define
(36) |
where again, and are to be chosen.
Motivated by Property (ii), we set
(37) |
and to obtain Property (iv), we will require that
(38) |
for some to be determined.
Computing as in (3.2), we have
Combined with (37), this implies that is trivially a subsolution for , and using Proposition 5 we obtain
with , arbitrarily close to 1.
From here on we argue as before to conclude that
is a subsolution in all of . ∎
We conclude this section by proving the existence of the functions and needed in the proof of Lemma 5.
Proposition 5.
Proof.
We begin by proving part (a), then indicate the necessary changes to obtain part (b). Motivated by the considerations in the proof of Lemma 5, we define for (this is (37)) and for take to be the solution of the ODE
(39) |
where are to be chosen, and will determined by and . Note that can be seen as a first-order ODE. Taking avoids the trivial solution , since in this case (3.2) fails to meet the Osgood condition for uniqueness (see e.g., [1]). Furthermore, if is chosen so that , we achieve the blow-up condition (28). It can also be shown that
(40) |
In particular, this shows the use of Young’s inequality in (3.2) is justified.
Using (3.2), it remains to prove that for some and any ,
(41) |
We will proceed by considering different ranges of .
Assume first that is small, say for some small . By the convexity of , we have for , and since for , we control this factor with the constant on the left of . Thus taking a suitably small we have
We thus obtain (41) for any by choosing appropriately. In the proof of Lemma 5, we require to have arbitrarily close to . This is achieved by taking close to . Incidentally, the computation also shows that to have control by a linear term in (41) (i.e, ) we would require , which is impossible if we are to have a nontrivial solution of (3.2).
Assume now that . This implies that for some . In this case, the expressions on either side of (41) are continuous, hence remain bounded. Thus (41) is obtained by choosing an appropriately small .
Finally, we address the case . Since is small and as , this amounts to checking (41) in the the limit . Using only that , a straightforward computation shows that setting in (3.2), the left-hand side of (41) vanishes as , while the right-hand side goes to infinity. We have thus shown (41) holds for all . Using (27), we conclude for all .
For part (b), define for as the solution of
(42) |
with , to be chosen.
It can be shown that a nontrivial solution exists and satisfies
(43) |
for some , while taking gives (38).
4 Large-time behavior
In this final section, we use the existence of sub- and supersolutions given by Lemma 5 to perform the two steps of the convergence proof.
Lemma 6.
Assume satisfies (H1) and is bounded from below. Then is bounded over compact sets, uniformly with respect to .
Proof.
The proof follows by comparing , which solves (26), to the sub- and supersolutions constructed in Lemma 5, to which we refer the reader for notation and properties.
Let be a compact subset of . As noted earlier, if is large enough, we have , while is also a compact subset of , by the coercivity of (see Lemma 4). Hence, for a large enough , we have
Moreover, by construction, we have .
Since, by construction, on the lateral boundary of , by comparison (Theorem 4), we have that
Hence, this inequality is true on .
An immediate consequence of Lemma 6 is the following weaker convergence result.
Corollary 6.
Under the assumptions of Lemma 6,
4.1 Main result
The rest of this section is devoted to the proof of Theorem 2, stated in the introduction.
Proof of Theorem 2.
Step 1. For simplicity we write . By Lemma 6, is locally bounded for all , hence the half-relaxed limit
is well-defined for all . By the stability of viscosity solutions, is a subsolution of (6) in all of . Furthermore, adding an appropriate constant to either or so that they coincide at some point, we have by the Strong Maximum Principle that
for some (see, e.g., the proof of Theorem 3.1 in [12] for details).
Step 2. Fix . By the definition of half-relaxed limits, there exists a sequence such that , and . Consider . Again by Lemma 6, the sequence is uniformly bounded over compact sets. Furthermore, by the local gradient bound of Theorem 8 (in the appendix), it is also uniformly equicontinuous over compact sets. Thus, there exists such that, given a compact , there exists a subsequence such that uniformly over as .
Consider now
The sequence is again uniformly equicontinuous (in both space and time variables) due to Corollary 9. Thus, given also , we have that
(44) |
(again passing to a subsequence if necessary—this is omitted for ease of notation). By the definition of the half-relaxed limit , for all , and by construction,
(45) |
Hence, by the parabolic Strong Maximum Principle (see Lemma 7 and Remark 7 in the appendix), is constant in . In particular, for all .
To summarize, we have obtained that given any compact , there exists a sequence such that
(46) |
In the next step, we will use (46) for a suitable that is chosen larger than the set on which the uniform convergence will hold.
Step 3. Let and be compact (this is the set on which we will prove the uniform convergence stated in the Theorem). For this final part of the proof we employ many of the elements of Lemma 5, to which we refer the reader.
For and , we define
with and are as in the definition of the supersolution . Thus, arguing as in the proof of Lemma 5, is a supersolution of (26) in .
We take large enough so that
(47) |
where is given by (28), i.e., such that for . Thus, by (47) we have that , and thus . Furthermore, arguing as in the proof of Lemma 5,
(48) |
and
(49) |
Recall that, as a consequence of Lemma 4, is compact (see also the proof of Lemma 6). We can thus use (46) from Step 2 for to obtain that, for large enough ,
This gives that in , by construction. Together with (48), (49), this implies
(50) |
Since and are a solution and a supersolution of (26), respectively, and satisfy (50), by comparison (Theorem 4) we have
(51) |
In particular, (51) holds in .
We note that as . Thus, arguing as in the proof of Lemma 5 (ii), we take larger still so that,
(52) |
By (40), is nonincreasing, hence
(53) |
Therefore, combining (51), (4.1) and (53), we obtain
(54) |
To obtain the lower bound corresponding to (54), we define the analogue of based on the subsolution from Lemma 5. For , define
with and as before. Consider now Arguing as in Step 1, it follows that
for some . By definition of the half-relaxed limit, we have
(55) |
for sufficiently large . Recall from the construction of Lemma 5 that for all , for some . We set large enough so that , is a subsolution of (26) and, using Lemma 4,
(56) |
in addition to the requirements made in the construction of . We then have, by (55) and (56),
By (46) we have, for sufficiently large ,
Recalling that for all , we have
Thus we obtain
(57) |
By comparison (Theorem 4), this implies that
(58) |
From this point on, we argue as we did before for . We remark that the analogue of (53) (for a similarly defined ) is now given by the fact that the function is nondecreasing, since for all , by (43). Thus, for large enough , depending on , we have
and with this we conclude. ∎
Appendix A Appendix
In this appendix we present some estimates and results used in the previous sections.
Theorem 7 (Hölder estimate).
For , let be a subsolution of
where for each , is a nonnegative symmetric matrix such that the map is bounded and continuous in , and . Then and
where and depends only on and .
The Theorem follows immediately from Lemmas 2.1 and 2.2 in [18] (see also [7]). For equations set on a bounded domain, these lemmas lead to global Hölder estimates assuming the boundary is sufficiently regular. The result as stated is sufficient for our purposes.
More importantly, we remark that a crucial feature of the above estimate is that it depends on , but not on any lower bound for the matrix . It is in fact valid in the completely degenerate, or first-order, case.
Theorem 8 (Local Gradient Bounds).
Let .
-
(a)
There exists depending only on and , such that for any the solution of (6) satisfies
-
(b)
If is a solution of
(59) (60) where is a domain of such that and , then is Lipschitz continuous in in and for a.e. , for all , where depends on and . Moreover this result holds with if is locally Lipschitz continuous in .
Both results in Theorem 8 are classical. The estimate in (a) appears as stated in [26], but can also be inferred from the results of [31] (see also [33], [35]).
The conclusion of (b) can also be adapted from the results of [34] (that recovers some of the results from [33]). For a proof closer to our setting—namely, within the context of viscosity solutions, via the weak Bernstein method—we refer the reader to Theorem 4.1 in [5]. The viscous Hamilton-Jacobi Equation (59) is easily shown to satisfy the structure conditions required therein.
Furthermore, we remark that in this last reference the estimate obtained holds for an equation satisfied in (for arbitrary ), but has no dependence on the data at and can therefore be extended to for .
Corollary 9.
Proof.
The proof of Corollary 9 can be done in two ways: either by using classical interior parabolic estimates (see [37], Theorem 4.19, and also Theorem 4.36 in [28]), in which case the Hölder-regularity of the solution is of some order depending on universal constants, or by the argument of [8], which implies that a solution which is Lipschitz in is -Hölder-continuous in .
Lemma 7 (Strong Maximum Principle).
Let . Any upper semicontinuous subsolution of
(61) |
that attains its maximum at some is constant in .
We refer the reader to, e.g., [20], Corollary 2.4 and [4], Corollary 1. (The latter result concerns time-independent equations, but the method of proof equally applies to this context.)
Remark 7.
The difference , where is a solution of the ergodic equation (6) and is given by (44), can be shown to satisfy an equation like (61) by using the convexity of in any ball . In this case, the constant in (61) depends on the gradient bound for from Theorem 8, (a). Of course, the complete result is obtained by letting tend to .
Acknowledgments: G.B. was partially supported by the ANR MFG (ANR-16-CE40-0015-01). A.Q. was partially supported by Fondecyt Grant Nº 1190282 and Programa Basal, CMM, U. de Chile. A.R. was partially supported by Fondecyt, Postdoctorado 2019, Proyecto Nº 3190858.
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Guy Barles
Email: [email protected]
Institut Denis Poisson (UMR CNRS 7013), Université de Tours, Université d’Orléans, CNRS, Parc de Grandmont 37200 Tours, France
Alexander Quaas
Email: [email protected]
Departamento de Matemática, Universidad Técnica Federico Santa María, Casilla V-110, Avda. España 1680, Valparaíso, Chile.
Andrei Rodríguez
Email: [email protected]
Departamento de Matemática y Ciencia de la Computación, Universidad de Santiago de Chile, Avda. Libertador General Bernardo O’Higgins 3383, Santiago, Chile.