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Large-time behavior of unbounded solutions of viscous Hamilton-Jacobi Equations in N\mathbb{R}^{N}.

Guy Barles, Alexander Quaas and Andrei Rodríguez111Corresponding author.
Abstract

We study the large-time behavior of bounded from below solutions of parabolic viscous Hamilton-Jacobi Equations in the whole space N\mathbb{R}^{N} 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 t+t\to+\infty, i.e., they behave like λt+ϕ(x)\lambda^{*}t+\phi(x) where λ\lambda^{*} is the maximal ergodic constant and ϕ\phi 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

utΔu+|Du|m=f(x)\displaystyle u_{t}-\Delta u+|Du|^{m}=f(x) in N×(0,+),\displaystyle{}\quad\textrm{in }\mathbb{R}^{N}\times(0,+\infty), (1)
u(x,0)=u0(x)\displaystyle u(x,0)=u_{0}(x) in N,\displaystyle{}\quad\textrm{in }\mathbb{R}^{N}, (2)

in the case when m>2m>2 and f,u0C(N)f,u_{0}\in C(\mathbb{R}^{N}) are bounded from below. Further assumptions on ff are stated as required. We immediately point out that, by changing u(x,t)u(x,t) in u(x,t)+C1t+C2u(x,t)+C_{1}t+C_{2} for C1,C2>0C_{1},C_{2}>0, we change ff in f+C1f+C_{1} and u0u_{0} in u0+C2u_{0}+C_{2} and therefore we may assume without loss of generality that ff is larger than any constant and u0u_{0} 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 ff and u0u_{0} 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 N\mathbb{R}^{N}, 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 Ω\Omega with a Dirichlet boundary condition gg: if the corresponding stationary equation

{Δv+|Dv|m=f(x) in Ωv=g on Ω\left\{\begin{array}[]{ll}-\Delta v+|Dv|^{m}=f(x)&\quad\textrm{ in }\Omega\\ v=g&\quad\textrm{ on }\partial\Omega\end{array}\right. (3)

has a bounded subsolution, then there exists a solution uu_{\infty} of (3) and u(x,t)uu(x,t)\rightarrow u_{\infty} on Ω¯\overline{\Omega}. If (3) fails to have bounded subsolutions, one must introduce the ergodic problem with state-constraint boundary conditions

{Δv+|Dv|m=f(x)+c in Ω,Δv+|Dv|mf(x)+c in Ω.\left\{\begin{array}[]{ll}-\Delta v+|Dv|^{m}=f(x)+c&\quad\textrm{ in }\Omega,\\ -\Delta v+|Dv|^{m}\geq f(x)+c&\quad\textrm{ in }\partial\Omega.\end{array}\right. (4)

Here cc\in\mathbb{R} is called ergodic constant, and is an unknown in problem (4), as is vv. Existence and uniqueness of solutions (c,v)(c,v) of (4) are studied in [31]: cc\in\mathbb{R} is unique while vC(Ω¯)v\in C(\overline{\Omega}) is unique up to an additive constant. Convergence of u(x,t)+ctu(x,t)+ct to vv where (c,v)(c,v) is a solution of (4), is then obtained.

The behavior of solutions to (1) in the subquadratic case, m2m\leq 2, studied in [13], is more complicated, as it depends now on whether 1<m321<m\leq\frac{3}{2} or 32<m2\frac{3}{2}<m\leq 2. It also becomes necessary to introduce the following problem, also studied in [31], as an analogue of (3) and (4)

{Δv+|Dv|p=f(x)+c in Ω,v(x)+ as xΩ.\left\{\begin{array}[]{ll}-\Delta v+|Dv|^{p}=f(x)+c&\quad\textrm{ in }\Omega,\\ v(x)\rightarrow+\infty&\quad\textrm{ as }x\rightarrow\partial\Omega.\end{array}\right. (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 ff and u0u_{0}, the solutions of (1)-(2) may have any growth when |x||x|\to\infty.

The work [26] addresses the problem of large-time behavior of unbounded solutions of (1)-(2) mainly with probabilistic techniques with xx-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

We begin by addressing the well-posedness of problem (1)-(2).

Theorem 1.

Assume fWloc1,(N)f\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}) and u0C(N)u_{0}\in C(\mathbb{R}^{N}) are bounded from below. Then, there exists a unique continuous solution of (1)-(2).

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 u0Wloc1,(N)u_{0}\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}), a case in which we have better Lipschitz estimates since they hold up to t=0t=0.

To determine the large-time behavior of solutions to (1)-(2) we must introduce the corresponding ergodic problem,

λΔϕ+|Dϕ|m=f(x)in N,\lambda-\Delta\phi+|D\phi|^{m}=f(x)\quad\textrm{in }\mathbb{R}^{N}, (6)

where both λ\lambda and ϕ\phi are unknown. Assuming that m>2m>2 and fWloc1,(N)f\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}) is coercive and bounded from below, it is proved in [12] that there a exist unique constant λ\lambda^{*}\in\mathbb{R} and a unique ϕC2(N)\phi\in C^{2}(\mathbb{R}^{N}) (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

  1. (H1)

    There exists an increasing function φ:[0,+)[0,+)\varphi:[0,+\infty)\to[0,+\infty) and constants α,φ0,f0>0\alpha,\varphi_{0},f_{0}>0 such that for all r0r\geq 0,

    φ01rαφ(r)\varphi_{0}^{-1}r^{\alpha}\leq\varphi(r)

    and for all xNx\in\mathbb{R}^{N} and r=|x|r=|x|,

    f01φ(r)f0f(x)f0(φ(r)+1).f_{0}^{-1}\varphi(r)-f_{0}\leq f(x)\leq f_{0}(\varphi(r)+1).
Remark 1.

The previous assumption imposes no upper bound on the growth of ff at infinity, since no upper bound is assumed for the function φ\varphi. The control on ff on both sides by φ\varphi implies only that ff is almost radial since it “does not vary too much for |x|=r|x|=r, for fixed r>0r>0”. It is clear that the more growth we have on φ\varphi, 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.

Assume (H1). Then, for any u0C(N)u_{0}\in C(\mathbb{R}^{N}) bounded from below, there exists c^\hat{c}\in\mathbb{R} such that the solution u=u(x,t)u=u(x,t) of (1)-(2) satisfies

u(x,t)λtϕ(x)+c^locally uniformly in N as t.u(x,t)-\lambda^{*}t\to\phi(x)+\hat{c}\quad\textrm{locally uniformly in }\mathbb{R}^{N}\textrm{ as }t\to\infty.

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 ff from above, and no restriction whatsoever on the behavior of u0u_{0}. In contrast, the results of [26] assume that ff is essentially bounded on both sides by |x|α|x|^{\alpha} for αm\alpha\geq m^{*}, where m=mm1m^{*}=\frac{m}{m-1}, and u0u_{0} 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 CC, and it is usually indicated if they are taken within a given range, e.g., 0<C<10<C<1. Br(x)B_{r}(x) denotes the ball of radius r>0r>0 and center xNx\in\mathbb{R}^{N}, and for simplicity we write BrB_{r} for Br(0)B_{r}(0).

For QN×(0,+)Q\subset\mathbb{R}^{N}\times(0,+\infty), we say QQ is open if and only if it is open with respect to the parabolic topology in N+1\mathbb{R}^{N+1}, i.e., the topology generated by the basis {Br(x)×(r,t]|xN,t(0,+),r>0}\{B_{r}(x)\times(-r,t]\ |\ x\in\mathbb{R}^{N},\ t\in(0,+\infty),\ r>0\} (see e.g., [37]). The parabolic boundary pQ\partial_{p}Q of such a set is the topological boundary as defined by the parabolic topology. Similarly, Q¯\overline{Q} denotes the closure of QQ with respect to the parabolic topology in N+1\mathbb{R}^{N+1}. We still write, e.g., B¯r\overline{B}_{r} for the closure of a subset of N\mathbb{R}^{N} with respect to the usual topology, since there is little possibility of confusion. We also write Qt^={(x,t)Q|t=t^}Q_{\hat{t}}=\{(x,t)\in Q\ |\ t=\hat{t}\} for t^>0\hat{t}>0 and Q0={(x,t)Q¯|t=0}Q_{0}=\{(x,t)\in\overline{Q}\ |\ t=0\}.

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 u0Wloc1,(N)u_{0}\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}), the general result being obtained at the end of the section, after the proof of the comparison result.

2.1 A first existence result

Our first task will to obtain a solution of (1)-(2) via an approximation by bounded domains.

Proposition 3.

Let T>0T>0, and assume that f,u0Wloc1,(N)f,u_{0}\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}) are bounded from below. Then, there exists a continuous, bounded from below solution of

utΔu+|Du|m=f(x)\displaystyle u_{t}-\Delta u+|Du|^{m}=f(x) in N×(0,T],\displaystyle{}\quad\textrm{in }\mathbb{R}^{N}\times(0,T], (7)
u(x,0)=u0(x)\displaystyle u(x,0)=u_{0}(x) in N.\displaystyle{}\quad\textrm{in }\mathbb{R}^{N}. (8)

To perform our approximation, we revisit the parabolic state-constraints problem on the approximating domains. Namely, for R,T>0R,T>0, consider

utΔu+|Du|m=f(x)\displaystyle u_{t}-\Delta u+|Du|^{m}=f(x)  in BR×(0,T],\displaystyle{}\quad\textrm{ in }B_{R}\times(0,T], (9)
utΔu+|Du|mf(x)\displaystyle u_{t}-\Delta u+|Du|^{m}\geq f(x)  in BR×(0,T],\displaystyle{}\quad\textrm{ in }\partial B_{R}\times(0,T], (10)
u(,0)=u0\displaystyle u(\cdot,0)=u_{0}  in B¯R.\displaystyle{}\quad\textrm{ in }\overline{B}_{R}. (11)
Remark 2.

By standard arguments, there is no loss of generality in assuming, as in (7) or (9), that the equation holds up to the terminal time T>0T>0 (see e.g., [22], Ch. 10).

Lemma 1.

Under the assumptions of Proposition 3, for every R>0R>0 there exists a unique, continuous solution of (9)-(11), denoted uRu^{R}.

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 u¯(x,t)=infBRu0+tinfBRf\underline{u}(x,t)=\inf_{B_{R}}u_{0}+t\inf_{B_{R}}f 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 u0u_{0} and ff 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 RRR^{\prime}\geq R, then uR(x)uR(x)u^{R^{\prime}}(x)\leq u^{R}(x) for all xB¯Rx\in\overline{B}_{R}.

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 RRR^{\prime}\geq R, uRu^{R^{\prime}} is in particular a subsolution of (9) in BR×(0,T)B_{R}\times(0,T), satisfying also (11). Let ϵ>0\epsilon>0, and let ρϵ\rho_{\epsilon} denote the standard mollifier in N+1\mathbb{R}^{N+1}. Since (9) is convex in (u,Du)(u,Du), uRρϵu^{R^{\prime}}\ast\rho_{\epsilon} is a classical subsolution of (9) in BRB_{R} (this is Lemma 2.7 in [10]). Define, for small δ>0{\delta>0}, xB¯Rx\in\overline{B}_{R} and t0t\geq 0,

w(x,t)=(uRρϵ)(x,t)δt.w(x,t)=(u^{R^{\prime}}\ast\rho_{\epsilon})(x,t)-\delta t.

(We have dropped the dependences of ww in RR^{\prime}, ϵ\epsilon and δ\delta for the sake of notational simplicity.) We claim that ww is a smooth subsolution of (9) in BR×(0,T)B_{R}\times(0,T). Indeed, for all (x,t)BR×(0,T](x,t)\in B_{R}\times(0,T], we can compute

wt(x,t)Δw(x,t)+|Dw(x,t)|m\displaystyle w_{t}(x,t)-\Delta w(x,t)+|Dw(x,t)|^{m}
=(uRρϵ)tΔ(uRρϵ)(x,t)+|D(uRρϵ)(x,t)|mδ\displaystyle\quad=(u^{R^{\prime}}\ast\rho_{\epsilon})_{t}-\Delta(u^{R^{\prime}}\ast\rho_{\epsilon})(x,t)+|D(u^{R^{\prime}}\ast\rho_{\epsilon})(x,t)|^{m}-\delta
f(x)δ<f(x).\displaystyle\quad\leq f(x)-\delta<f(x). (12)

And this computation, which is only valid for smooth enough uRu^{R^{\prime}} can be justified if uRu^{R^{\prime}} is only a continuous viscosity subsolution of (9).

We set ηϵ:=minBR¯(u0w(x,0))\eta_{\epsilon}:=\min_{\overline{B_{R}}}(u_{0}-w(x,0)). We remark that, by the continuity of uRu^{R^{\prime}}, ηϵ0\eta_{\epsilon}\to 0 as ϵ0\epsilon\to 0. We now show that uRw+ηϵu^{R}\geq w+\eta_{\epsilon} in BR¯×[0,T]{\overline{B_{R}}}\times[0,T] for any T>0T>0. We argue by contradiction assuming that

(uRwηϵ)(x0,t0):=minBR¯×[0,T](uRwηϵ)<0.(u^{R}-w-\eta_{\epsilon})(x_{0},t_{0}):=\min_{\overline{B_{R}}\times[0,T]}(u^{R}-w-\eta_{\epsilon})<0.

By definition of ηϵ\eta_{\epsilon}, we have t0>0t_{0}>0 and since w+ηϵw+\eta_{\epsilon} is smooth, the definition of the state-constraints boundary condition (10) implies that

wt(x0,t0)Δw(x0,t0)+|Dw(x0,t0)|mf(x0),w_{t}(x_{0},t_{0})-\Delta w(x_{0},t_{0})+|Dw(x_{0},t_{0})|^{m}\geq f(x_{0}),

which contradicts (12). Therefore, uRw+ηϵu^{R}\geq w+\eta_{\epsilon} in BR¯×[0,T]\overline{B_{R}}\times[0,T]. Taking the limit ϵ,δ0\epsilon,\delta\rightarrow 0, then TT\rightarrow\infty, we conclude. ∎

Proof of Proposition 3..

We are going to obtain a solution of (7)-(8) as a locally uniform limit of the solutions uRu^{R} of Lemma 1 as R+R\to+\infty.

To do so, we consider a fixed R¯\bar{R}. For R>2R¯+1R>2\bar{R}+1, we have, assuming u0,f0u_{0},f\geq 0

0uRu2R¯+1in B2R¯¯×[0,T],0\leq u^{R}\leq u^{2\bar{R}+1}\quad\hbox{in }\overline{B_{2\bar{R}}}\times[0,T]\;,

hence {uR}R>2R¯+1\{u^{R}\}_{R>2\bar{R}+1} is uniformly bounded over B2R¯¯×[0,T]\overline{B_{2\bar{R}}}\times[0,T].

Furthermore, using Theorem 8 and Corollary 9 in the Appendix, the C0,1/2C^{0,1/2}-norm of uRu^{R} on BR¯¯×[0,T]\overline{B_{\bar{R}}}\times[0,T] remains also uniformly bounded for R>2R¯+1R>2\bar{R}+1. And we also recall that the uRu^{R} are decreasing in RR.

Thus, by using the Ascoli-Arzela Theorem together with the monotonicity of (UR)R(U^{R})_{R}, we have the uniform convergence of uRu^{R} on BR¯¯×[0,T])\overline{B_{\bar{R}}}\times[0,T]). Then, by a diagonal argument, we may extract a subsequence of {uR}R>0\{u^{R}\}_{R>0} that converges locally uniformly to some uC(N×[0,T])u\in C(\mathbb{R}^{N}\times[0,T]). By stability, it follows that uu is a viscosity solution of (7)-(8). ∎

2.2 A General Comparison Result

We provide in this section a general comparison result, not only in N×[0,T]\mathbb{R}^{N}\times[0,T], but in a more general domain QQ which may be a proper subset of N×[0,T]\mathbb{R}^{N}\times[0,T]. The following comparison result is formulated in terms of viscosity sub- and supersolutions where USC(Q)USC(Q) denotes the set of upper semi-continuous functions on Q¯\overline{Q}, while LSC(Q)LSC(Q) is the set of lower semi-continuous ones.

Theorem 4.

Let T(0,+]T\in(0,+\infty]. Assume fWloc1,(N)f\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}) is bounded from below and QN×(0,T)Q\subset\mathbb{R}^{N}\times(0,T) is a nonempty set, open with respect to the parabolic topology (see Subsection 1.2 for notation and definitions). Let uUSC(Q)u\in USC(Q) and vLSC(Q)v\in LSC(Q) be respectively a subsolution and a supersolution of Equation (1) in QQ, both bounded from below. If, for all (x,t)pQ(x,t)\in\partial_{p}Q, we have lim sup(y,s)(x,t)(uv)0\displaystyle\limsup_{(y,s)\to(x,t)}(u-v)\leq 0, then uvu\leq v in QQ.

The first main point in Theorem 4 is that the set QQ is allowed to be unbounded. Consequently, uUSC(Q)u\in USC(Q) and vLSC(Q)v\in LSC(Q) are allowed to be unbounded as well. Naturally, we are mainly interested in the case Q=N×(0,+)Q=\mathbb{R}^{N}\times(0,+\infty). 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 VV which is not defined in the whole space but on a set QQ on which we know that V(x,t)+V(x,t)\to+\infty if (x,t)pQ(x,t)\to\partial_{p}Q with t>0t>0.

Proof.

To deal with the difficulty of uu and vv being unbounded, we define

z1(x,t)=eu(x,t),z2(x,t)=ev(x,t).z_{1}(x,t)=-e^{-u(x,t)},\qquad z_{2}(x,t)=-e^{-v(x,t)}.

Since uu and vv are bounded from below, z1z_{1} and z2z_{2} are bounded. Furthermore, we have that z1z_{1} and z2z_{2} are respectively a sub- and supersolution of

ztΔz+N(x,z,Dz)=0,z_{t}-\Delta z+N(x,z,Dz)=0, (13)

where N:N××NNN:\mathbb{R}^{N}\times\mathbb{R}\times\mathbb{R}^{N}\to\mathbb{R}^{N} is given by

N(x,r,p)=r(f(x)+|pr|2|pr|m).N(x,r,p)=r\left(f(x)+\left|\frac{p}{r}\right|^{2}-\left|\frac{p}{r}\right|^{m}\right). (14)

Formally, this is a straightforward computation. Given the monotonicity of the transformation defining z1,z2,z_{1},z_{2}, there is no difficulty in passing the computation over to smooth test functions. Another consequence is that z1(x,t)z2(x,t)z_{1}(x,t)\leq z_{2}(x,t) if and only if u(x,t)v(x,t)u(x,t)\leq v(x,t). 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 QQ is unbounded in tt. Assume that the conclusion of the theorem is false and M:=supQ(z1z2)>0M:=\sup_{Q}(z_{1}-z_{2})>0. Define first, for δ>0\delta>0,

Mδ:=supQ(z1(x,t)z2(x,t)δ(|x|2+t)).M_{\delta}:=\sup_{Q}\left(z_{1}(x,t)-z_{2}(x,t)-\delta(|x|^{2}+t)\right). (15)

As the penalized function on the right-hand side of (15) is upper-semicontinuous and goes to -\infty as either |x|+|x|\to+\infty or t+t\to+\infty, the supremum in achieved at some (x¯,t¯)Q¯(\bar{x},\bar{t})\in\overline{Q}. From standard arguments, we have that MδMM_{\delta}\to M as δ0\delta\to 0 (see e.g., [19], Proposition 3.7), which implies that for small enough δ\delta, Mδ>0M_{\delta}>0. Moreover, since lim sup(y,s)(x,t)(z1(y,s)z2(y,s))\limsup_{(y,s)\to(x,t)}(z_{1}(y,s)-z_{2}(y,s)) for all (x,t)pQ(x,t)\in\partial_{p}Q, we necessarily have (x¯,t¯)Q(\bar{x},\bar{t})\in Q. Define now

Mδ,α:=supQ×Q{z1(x,t)z2(y,t)δ2(|x|2+|y|2+t)α2|xy|2}.M_{\delta,\alpha}:=\sup_{Q\times Q}\left\{z_{1}(x,t)-z_{2}(y,t)-\frac{\delta}{2}(|x|^{2}+|y|^{2}+t)-\frac{\alpha}{2}|x-y|^{2}\right\}.

Again the supremum above if achieved at a point (x^,y^,t^)(\hat{x},\hat{y},\hat{t}). Similarly, we know that as α\alpha\rightarrow\infty and δ\delta remains fixed, Mα,δMδM_{\alpha,\delta}\rightarrow M_{\delta} and x^,y^x¯\hat{x},\hat{y}\to\bar{x} and t^t¯\hat{t}\to\bar{t} for x¯,t¯\bar{x},\bar{t} as above.

Thus, an application of Ishii’s Lemma (see [19], Theorem 3.2) gives

N(x^,z1(x^,t^),α(x^y^)+δx^)N(y^,z2(y^,t^),α(x^y^)δy^)(2n+12)δ.N(\hat{x},z_{1}(\hat{x},\hat{t}),\alpha(\hat{x}-\hat{y})+\delta\hat{x})-N(\hat{y},z_{2}(\hat{y},\hat{t}),\alpha(\hat{x}-\hat{y})-\delta\hat{y})\leq\left(2n+\frac{1}{2}\right)\delta. (16)

We aim to bound this difference from below by a positive constant independent of δ\delta. Let

h(s)=N(a(s),b(s),c(s)),h(s)=N(a(s),b(s),c(s)),

where

a(s)=sx^+(1s)y^,b(s)=sz1(x^,t^)+(1s)z2(y^,t^),\displaystyle a(s)=s\hat{x}+(1-s)\hat{y},\qquad b(s)=sz_{1}(\hat{x},\hat{t})+(1-s)z_{2}(\hat{y},\hat{t}),
c(s)=α(x^y^)+δ(sx^+(s1)y^).\displaystyle c(s)=\alpha(\hat{x}-\hat{y})+\delta(s\hat{x}+(s-1)\hat{y}).

We rewrite (16) as

N(x^,z1(x^,t^),α(x^y^)+δx^)N(y^,z2(y^,t^),α(x^y^)δy^)\displaystyle N(\hat{x},z_{1}(\hat{x},\hat{t}),\alpha(\hat{x}-\hat{y})+\delta\hat{x})-N(\hat{y},z_{2}(\hat{y},\hat{t}),\alpha(\hat{x}-\hat{y})-\delta\hat{y})
=N(a(1),b(1),c(1))N(a(0),b(0),c(0))\displaystyle{}=N(a(1),b(1),c(1))-N(a(0),b(0),c(0))
=h(1)h(0)=01h(s)𝑑s.\displaystyle{}=h(1)-h(0)=\int_{0}^{1}h^{\prime}(s)\,ds. (17)

Computing

a(s)=x^y^,b(s)=z1(x^,t^)z2(y^,t^),\displaystyle a^{\prime}(s)=\hat{x}-\hat{y},\qquad b^{\prime}(s)=z_{1}(\hat{x},\hat{t})-z_{2}(\hat{y},\hat{t}),
c(s)=δ(x^+y^),\displaystyle c^{\prime}(s)=\delta(\hat{x}+\hat{y}),

and, from (14),

Nx=rDf(x),Nr=f(x)|pr|2+(m1)|pr|m,\displaystyle\frac{\partial N}{\partial x}=r\,Df(x),\qquad\frac{\partial N}{\partial r}=f(x)-\left|\frac{p}{r}\right|^{2}+(m-1)\left|\frac{p}{r}\right|^{m},
Np=(2|r|2m(m2)|p|m2|r|m)p,\displaystyle\frac{\partial N}{\partial p}=\left(\frac{2}{|r|^{2}}-\frac{m(m-2)|p|^{m-2}}{|r|^{m}}\right)p,

we have

01h(s)𝑑s\displaystyle\int_{0}^{1}h^{\prime}(s)\,ds =01Nx(a(s),b(s),c(s))a(s)+Nr(a(s),b(s),c(s))b(s)\displaystyle{}=\int_{0}^{1}\frac{\partial N}{\partial x}(a(s),b(s),c(s))\cdot a^{\prime}(s)+\frac{\partial N}{\partial r}(a(s),b(s),c(s))b^{\prime}(s)
+Np(a(s),b(s),c(s))c(s)ds.\displaystyle\qquad{}+\frac{\partial N}{\partial p}(a(s),b(s),c(s))\cdot c^{\prime}(s)\,ds.

We proceed to bound each term in the last expression

Nx(a(s),b(s),c(s))a(s)max{z1,z2}Df,BR(δ)|x^y^|,\displaystyle\frac{\partial N}{\partial x}(a(s),b(s),c(s))\cdot a^{\prime}(s)\geq-\max\{\|z_{1}\|_{\infty},\|z_{2}\|_{\infty}\}\|Df\|_{\infty,B_{R(\delta)}}|\hat{x}-\hat{y}|,

where BR(δ)B_{R(\delta)} is a ball that contains (x^,y^)(\hat{x},\hat{y}), the points at which the maximum of Φ=Φδ,α(x,y)\Phi=\Phi^{\delta,\alpha}(x,y) is achieved, considering δ>0\delta>0 is fixed; BR(δ)B_{R(\delta)} is uniform in α\alpha. Since x^y^0\hat{x}-\hat{y}\rightarrow 0 as α\alpha\rightarrow\infty, this implies

Nx(a(s),b(s),c(s))a(s)0as α.\frac{\partial N}{\partial x}(a(s),b(s),c(s))\cdot a^{\prime}(s)\rightarrow 0\quad\textrm{as }\alpha\rightarrow\infty.

We write q:=prq:=\frac{p}{r}. Young’s inequality gives

|q|22m|q|m+mm2,|q|^{2}\leq\frac{2}{m}|q|^{m}+\frac{m}{m-2},

hence

Nr\displaystyle\frac{\partial N}{\partial r} =f(x)|pr|2+(m1)|pr|m\displaystyle{}=f(x)-\left|\frac{p}{r}\right|^{2}+(m-1)\left|\frac{p}{r}\right|^{m}
f(x)+(m1)|q|m2m|q|mmm2\displaystyle{}\geq f(x)+(m-1)|q|^{m}-\frac{2}{m}|q|^{m}-\frac{m}{m-2}
f(x)mm2+(m12m)|q|m\displaystyle{}\geq f(x)-\frac{m}{m-2}+\left(m-1-\frac{2}{m}\right)|q|^{m}
1+C|q|m,\displaystyle{}\geq 1+C|q|^{m}, (18)

taking 0<C<m12m0<C<m-1-\frac{2}{m} in the last inequality. The bound

f(x)1+mm2for all xN,f(x)\geq 1+\frac{m}{m-2}\quad\textrm{for all }x\in\mathbb{R}^{N}, (19)

may be assumed without loss of generality by initially considering, instead of uu and vv, the functions

u(x,t)+(1+mm2)t,v(x,t)+(1+mm2)t,u(x,t)+\left(1+\frac{m}{m-2}\right)t,\qquad v(x,t)+\left(1+\frac{m}{m-2}\right)t,

for all (x,t)Q(x,t)\in Q (see the comments at the beginning of the introduction). On the other hand, by direct computation,

|Np|\displaystyle\left|\frac{\partial N}{\partial p}\right| =2|pr|+m|pr|m1=2|q|+m|q|m1\displaystyle{}=2\left|\frac{p}{r}\right|+m\left|\frac{p}{r}\right|^{m-1}=2|q|+m|q|^{m-1}
m(|q|+|q|m1)2m(1+|q|m).\displaystyle{}\leq m(|q|+|q|^{m-1})\leq 2m(1+|q|^{m}).

Here we’ve used that m>2m>2 and that |q|+|q|m12(1+|q|m)|q|+|q|^{m-1}\leq 2(1+|q|^{m}), which follows easily by considering the cases |q|>1|q|>1 and |q|1|q|\leq 1 separately. We have therefore obtained

(1+2mC)Nr|Np|.\left(1+\frac{2m}{C}\right)\frac{\partial N}{\partial r}\geq\left|\frac{\partial N}{\partial p}\right|. (20)

Thus, using (2.2) and (20), for small δ>0\delta>0 we have

lim infα01h(s)𝑑s\displaystyle\liminf_{\alpha\rightarrow\infty}\int_{0}^{1}h^{\prime}(s)\,ds lim infα01Nr(z1(x^,t^)z2(y^,t^))+Npδ(x^+y^)ds\displaystyle{}\geq\liminf_{\alpha\rightarrow\infty}\int_{0}^{1}\frac{\partial N}{\partial r}(z_{1}(\hat{x},\hat{t})-z_{2}(\hat{y},\hat{t}))+\frac{\partial N}{\partial p}\cdot\delta(\hat{x}+\hat{y})\,ds
lim infα01Nr(Mα,δ+δ(|x^|2+|y^|2+t^)+α2|x^y^|2)\displaystyle{}\geq\liminf_{\alpha\rightarrow\infty}\int_{0}^{1}\frac{\partial N}{\partial r}\left(M_{\alpha,\delta}+\delta(|\hat{x}|^{2}+|\hat{y}|^{2}+\hat{t})+\frac{\alpha}{2}|\hat{x}-\hat{y}|^{2}\right)
+Npδ(x^+y^)ds\displaystyle{}\quad+\frac{\partial N}{\partial p}\cdot\delta(\hat{x}+\hat{y})\,ds
lim infα01NrMα,δδ|Np|(|x^|+|y^|)ds\displaystyle{}\geq\liminf_{\alpha\rightarrow\infty}\int_{0}^{1}\frac{\partial N}{\partial r}M_{\alpha,\delta}-\delta\left|\frac{\partial N}{\partial p}\right|(|\hat{x}|+|\hat{y}|)\,ds
01Nr(Mδ2δ(1+2mC)|x¯|)𝑑s\displaystyle{}\geq\int_{0}^{1}\frac{\partial N}{\partial r}\left(M_{\delta}-2\delta\left(1+\frac{2m}{C}\right)|\bar{x}|\right)\,ds
>M2>0.\displaystyle{}>\frac{M}{2}>0. (21)

Here we have also used the facts concerning the limits α\alpha\to\infty, δ0\delta\to 0 (taken in that order) mentioned at the outset of the argument. Together with (16) and (2.2), (21) gives the desired contradiction.

Finally, if QN×[0,T]Q\subset\mathbb{R}^{N}\times[0,T] for some T>0T>0, we note that the preceding argument equally applies, but the penalization term in tt is no longer necessary in (15). That is, we may define

Mδ:=supQ(z1(x,t)z2(x,t)δ|x|2),M_{\delta}:=\sup_{Q}\left(z_{1}(x,t)-z_{2}(x,t)-\delta|x|^{2}\right),

instead of (15) and proceed in the same way. ∎

Remark 4.

In [12], an analogous comparison result is proved in the complementary of ball BRB_{R} if RR is large enough (depending on the coercivity for ff): 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 N×[0,T]\mathbb{R}^{N}\times[0,T], since it is nonnegative. Therefore, combining the results of Proposition 3 and Theorem 4, there exists a unique solution of (7)-(8). Since T>0T>0 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 u0Wloc1,(N)u_{0}\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}) is complete.

When u0C(N)u_{0}\in C(\mathbb{R}^{N}), we argue in the following way: by classical results, there exists a sequence (u0ϵ)ϵ(u^{\epsilon}_{0})_{\epsilon} of functions of Wloc1,(N)W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}) such that, for any ϵ\epsilon, |u0ϵ(x)u0(x)|ϵ|u^{\epsilon}_{0}(x)-u_{0}(x)|\leq\epsilon in N\mathbb{R}^{N}. If uϵu^{\epsilon} denotes the unique solution of (1) associated to the initial data u0ϵu^{\epsilon}_{0}, we have, by the comparison result

|uϵ(x,t)uϵ(x,t)|ϵ+ϵin N×[0,+),|u^{\epsilon}(x,t)-u^{\epsilon^{\prime}}(x,t)|\leq\epsilon^{\prime}+\epsilon\quad\textrm{in }\mathbb{R}^{N}\times[0,+\infty)\;,

since |u0ϵ(x)u0ϵ(x)|ϵ+ϵ|u^{\epsilon}_{0}(x)-u^{\epsilon^{\prime}}_{0}(x)|\leq\epsilon^{\prime}+\epsilon in N\mathbb{R}^{N}. Therefore, the Cauchy sequence (uϵ)ϵ(u^{\epsilon})_{\epsilon} converge uniformly in N×[0,+)\mathbb{R}^{N}\times[0,+\infty) 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.

Assume that fC(N)f\in C(\mathbb{R}^{N}) and set MR=supBR|fλ|M_{R}=\sup_{B_{R}}|f-\lambda^{*}|. Then, for any R>1R>1, there exists a constant C1>0C_{1}>0 such that any solution ϕ\phi of (6) satisfies

|ϕ(x)ϕ(0)|C1RMR1mfor all xN,|x|R.|\phi(x)-\phi(0)|\leq C_{1}RM_{R}^{\frac{1}{m}}\quad\textrm{for all }x\in\mathbb{R}^{N},\ |x|\leq R.

In particular, if (H1), for any R>1R>1 and for any solution ϕ\phi of (6), there exists a constant C>0C>0 such that

ϕ(x)ϕ(0)C(φ(R)α+mαm+1)for all xN,|x|R.\phi(x)-\phi(0)\leq C\left(\varphi(R)^{\frac{\alpha+m}{\alpha m}}+1\right)\quad\textrm{for all }x\in\mathbb{R}^{N},\ |x|\leq R.

This result provides a surprising estimate on |ϕ(x)ϕ(0)||\phi(x)-\phi(0)| since this is essentially the same as if ϕ\phi were solving the first-order PDE |Dϕ(x)|m=f(x)λ|D\phi(x)|^{m}=f(x)-\lambda^{*} 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 ϕ\phi in BRB_{R} by using a bound on ff on the same ball BRB_{R}, contrarily to a Bernstein estimate which would use a bound on ff on BR+1B_{R+1}. 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 ff is in LqL^{q} for q>N/mq>N/m by results of Dall’Aglio and Porretta [21].

Proof.

Let γ=m2m1\gamma=\frac{m-2}{m-1}, and for R>0R>0, define

v(x)=Rγϕ(Rx).v(x)=R^{-\gamma}\phi(Rx).

Since ϕ\phi is, in particular, a solution of (6) in BRB_{R}, vv is a solution of

Δv+|Dv|m=R2γ(f(Rx)λ)R2γMRin B1,-\Delta v+|Dv|^{m}=R^{2-\gamma}(f(Rx)-\lambda^{*})\leq R^{2-\gamma}M_{R}\quad\textrm{in }B_{1},

Now set KR=R2γMRK_{R}=R^{2-\gamma}M_{R} and

u(x)=KR1mv(x)u(x)=K_{R}^{-\frac{1}{m}}v(x)

to obtain that uu is a solution of

KR1m1Δu+|Du|m1in B1.-K_{R}^{\frac{1}{m}-1}\Delta u+|Du|^{m}\leq 1\quad\textrm{in }B_{1}. (22)

Observe that m>2m>2 implies that γ<2\gamma<2 and 1m1<0\frac{1}{m}-1<0. Since ff is (in particular) coercive, we have that KR0K_{R}\to 0 as RR\to\infty. Hence, for RR sufficiently large we obtain 0KR10\leq K_{R}\leq 1.

We are now in position to apply the estimate of Theorem (7) (in the appendix) to Equation (22): there exists a constant C1>0C_{1}>0, independent of R>0R>0, such that

|u(x)u(y)|C1|xy|γfor all x,yB¯1.|u(x)-u(y)|\leq C_{1}|x-y|^{\gamma}\quad\textrm{for all }x,y\in\overline{B}_{1}.

In terms of ϕ\phi, for |x|1,y=0|x|\leq 1,y=0 this gives

KR1mRγ|ϕ(Rx)ϕ(0)|C1,K_{R}^{-\frac{1}{m}}R^{-\gamma}|\phi(Rx)-\phi(0)|\leq C_{1},

or, for |x|R|x|\leq R,

|ϕ(x)ϕ(0)|C1KR1mRγ=C1(R2γMR)1mRγ=C1MR1mR.|\phi(x)-\phi(0)|\leq C_{1}K_{R}^{\frac{1}{m}}R^{\gamma}=C_{1}(R^{2-\gamma}M_{R})^{\frac{1}{m}}R^{-\gamma}=C_{1}M_{R}^{\frac{1}{m}}R\;.

If (H1) holds, by taking, if necessary, a larger CC depending on ϕ(0)\phi(0), f0f_{0} and λ\lambda^{*}, we conclude

ϕ(x)Cφ(R)1mRCφ(R)1mφ(R)1α=Cφ(R)α+mαm.\phi(x)\leq C\varphi(R)^{\frac{1}{m}}R\leq C\varphi(R)^{\frac{1}{m}}\varphi(R)^{\frac{1}{\alpha}}=C\varphi(R)^{\frac{\alpha+m}{\alpha m}}. (23)

Lemma 4.

Assume (H1). Then, the solution ϕ\phi of (6) satisfies

limx+ϕ(x)|x|=+.\lim\limits_{x\to+\infty}\frac{\phi(x)}{|x|}=+\infty.
Proof.

In order to prove Lemma 4, we may assume without loss of generality that ϕ0\phi\geq 0 in N\mathbb{R}^{N} since ϕ\phi is bounded from above and we can change ϕ\phi in ϕ+C\phi+C for some large constant C>0C>0.

We argue by contradiction. Assume that there exists a sequence (yn)n(y_{n})_{n\in\mathbb{N}} with yn+y_{n}\to+\infty as n+n\to+\infty such that

lim supn+ϕ(yn)|yn|=M<+\limsup\limits_{n\to+\infty}\frac{\phi(y_{n})}{|y_{n}|}=M<+\infty (24)

for some M0M\geq 0, and define for yB1y\in B_{1},

vn(y)=ϕ(yn+|yn|2y)|yn|φ(12|yn|)1m.v_{n}(y)=\frac{\phi(y_{n}+\frac{|y_{n}|}{2}y)}{|y_{n}|\varphi(\frac{1}{2}|y_{n}|)^{\frac{1}{m}}}.

The function vnv_{n} satisfies

22m|yn|1φ(12|yn|)1m1Δvn(y)+|Dvn|m\displaystyle{}-2^{2-m}|y_{n}|^{-1}\varphi(\frac{1}{2}|y_{n}|)^{\frac{1}{m}-1}\Delta v_{n}(y)\,+\,|Dv_{n}|^{m}
=2mφ(12|yn|)1(f(yn+|yn|2y)λ)\displaystyle{}\quad=2^{-m}\varphi(\frac{1}{2}|y_{n}|)^{-1}\left(f\left(y_{n}+\frac{|y_{n}|}{2}y\right)-\lambda^{*}\right)
2mφ(12|yn|)1(f01φ(12|yn|)λ),\displaystyle{}\quad\geq 2^{-m}\varphi(\frac{1}{2}|y_{n}|)^{-1}\left(f_{0}^{-1}\varphi(\frac{1}{2}|y_{n}|)-\lambda^{*}\right),

where we have used (H1) for the last inequality together with the fact that |yn+|yn|2y||yn||yn|2|y|=12|yn||y_{n}+\frac{|y_{n}|}{2}y|\geq|y_{n}|-\frac{|y_{n}|}{2}|y|=\frac{1}{2}|y_{n}|. Hence, if ϵn=22m|yn|1φ(12|yn|)1m1\epsilon_{n}=2^{2-m}|y_{n}|^{-1}\varphi(\frac{1}{2}|y_{n}|)^{\frac{1}{m}-1}, we have ϵn0\epsilon_{n}\to 0 since φ\varphi is coercive and 11m<01-\frac{1}{m}<0 and

ϵnΔvn(y)+|Dvn|m2mf01on(1)in B1,-\epsilon_{n}\Delta v_{n}(y)\,+\,|Dv_{n}|^{m}\geq 2^{-m}f_{0}^{-1}-o_{n}(1)\quad\hbox{in }B_{1}\;, (25)

where on(1)0o_{n}(1)\to 0 as nn\to\infty.

In order to pass to the limit, we lack some LL^{\infty}-bounf on vnv_{n}. To overcome this difficulty, we set

v~n(y)=min(vn(y),K(1|y|))in B1,\tilde{v}_{n}(y)=\min\left(v_{n}(y),K(1-|y|)\right)\quad\hbox{in }B_{1},

for some K2mf01+1K\geq 2^{-m}f_{0}^{-1}+1. For nn large enough, the concave function yK(1|y|)y\mapsto K(1-|y|) is also a supersolution of (25) and therefore so is v~n\tilde{v}_{n} as the minimum of two supersolutions.

Hence, the half-relaxed limit v~=lim infnv~n\tilde{v}=\liminf\limits_{n\to\infty}\,\!\!^{*}\,\tilde{v}_{n} is well defined and, by stability, we have in the limit n+n\to+\infty that

|Dv~|m2mf01in B1|D\tilde{v}|^{m}\geq 2^{-m}f_{0}^{-1}\quad\textrm{in }B_{1}

in the viscosity sense. For all nn, v~n0\tilde{v}_{n}\geq 0, hence also v~0\tilde{v}\geq 0. Thus v~\tilde{v} is a supersolution of the eikonal equation |Du|m=2mf01|Du|^{m}=2^{-m}f_{0}^{-1} with homogeneous boundary condition since v~n=0\tilde{v}_{n}=0 on B1\partial B_{1}. The latter has the unique solution 12f01md(y,B1)\frac{1}{2}f_{0}^{-\frac{1}{m}}d(y,\partial B_{1}). Therefore, by comparison, v~(y)12f01md(y,B1)\tilde{v}(y)\geq\frac{1}{2}f_{0}^{-\frac{1}{m}}d(y,\partial B_{1}). However, using (24) we have

0v~(0)lim infn+ϕ(yn)|yn|φ(12|yn|)lim supn+ϕ(yn)|yn|limn+1φ(12|yn|)1m=M0=0,0\leq\tilde{v}(0)\leq\liminf\limits_{n\to+\infty}\frac{\phi(y_{n})}{|y_{n}|\varphi(\frac{1}{2}|y_{n}|)}\leq\limsup\limits_{n\to+\infty}\frac{\phi(y_{n})}{|y_{n}|}\cdot\lim\limits_{n\to+\infty}\frac{1}{\varphi(\frac{1}{2}|y_{n}|)^{\frac{1}{m}}}=M\cdot 0=0,

and this implies 0=v~(0)12f01md(0,B1)=12f01m>00=\tilde{v}(0)\geq\frac{1}{2}f_{0}^{-\frac{1}{m}}d(0,\partial B_{1})=\frac{1}{2}f_{0}^{-\frac{1}{m}}>0, a contradiction. ∎

Remark 5.

Lemmas 3 and 4 correspond to Propositions 3.3 and 3.4 in [12], where the polynomial growth rates which are assumed for ff lead to polynomial rates for the solution ϕ\phi. In particular, the proof of Lemma 4 is based on the same idea as that of Proposition 3.4 in [12].

3.2 Construction of sub- and supersolutions

The proof of the asymptotic behavior of uu is done in two main steps: the first one consists in showing that there exist two constants C1,C2>0C_{1},C_{2}>0 such that

ϕ(x)C1lim inft+(u(x,t)λt)lim supt+(u(x,t)λt)ϕ+C2in N,\phi(x)-C_{1}\leq\liminf_{t\to+\infty}\left(u(x,t)-\lambda^{*}t\right)\leq\limsup_{t\to+\infty}(u(x,t)-\lambda^{*}t)\leq\phi+C_{2}\quad\hbox{in }\mathbb{R}^{N},

where (λ,ϕ)(\lambda^{*},\phi) 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 u(,0)=u0u(\cdot,0)=u_{0}—which may have any growth at infinity—to u(x,t)u(x,t), which looks like ϕ\phi for large time.

Lemma 5.

Assume (H1) and let ϕ\phi be any solution of (6). Then, there exist an open, nonempty set QN×(0,+)Q\subset\mathbb{R}^{N}\times(0,+\infty), and functions UUSC(N×(0,T))U\in USC(\mathbb{R}^{N}\times(0,T)) and VLSC(Q)V\in LSC(Q) which are bounded from below sub- and supersolution of

wtΔw+|Dw|m=f(x)λw_{t}-\Delta w+|Dw|^{m}=f(x)-\lambda^{*} (26)

in N×(0,+)\mathbb{R}^{N}\times(0,+\infty) and in QQ respectively. Furthermore, UU and VV, together with QQ, satisfy the following:

  1. (i)

    For any compact KNK\subset\mathbb{R}^{N}, there exists a t^0\hat{t}\geq 0 such that KQtK\subset Q_{t} for all tt^t\geq\hat{t}.

  2. (ii)

    There exist constants σ1,σ2>0\sigma_{1},\sigma_{2}>0 such that U(,t)ϕσ1U(\cdot,t)\to\phi-\sigma_{1} and V(,t)ϕ+σ2V(\cdot,t)\to\phi+\sigma_{2} locally uniformly in N\mathbb{R}^{N} as t+t\to+\infty.

  3. (iii)

    If either (x,t)pQ(x,t)\in\partial_{p}Q with t>0t>0, or xQ0x\in\partial Q_{0} and t=0t=0, we have

    V(y,s)+as (y,s)(x,t),(y,s)Q.V(y,s)\to+\infty\quad\textrm{as }(y,s)\to(x,t),\ (y,s)\in Q\;.
  4. (iv)

    There exists M>0M>0 such that, for all t>0t>0,

    U(x,t)t+Mfor all xN.U(x,t)\leq t+M\quad\textrm{for all }x\in\mathbb{R}^{N}.
Remark 6.

The importance of Property (iii) of the lemma is that it allows us to construct a supersolution of (1)-(2) with the desired properties without assuming any restriction on the growth at infinity for the initial data.

Proof.

We begin with the construction of the supersolution VV, and will later indicate the necessary changes to obtain UU. 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

v(x,t)=ϕ(x)+χ(ϕ(x)R(t)),v(x,t)=\phi(x)+\chi(\phi(x)-R(t)),

where R:R:\mathbb{R}\to\mathbb{R} and χ:(,b)\chi:(-\infty,b)\to\mathbb{R} are smooth functions to be chosen later on, as is the endpoint b>0b>0.

In order to make this choice, we assume that χ0\chi^{\prime}\geq 0 in (,b)(-\infty,b) and R(t)+R(t)\to+\infty as t+t\to+\infty; Property (ii) of the lemma suggests to set

χ(s)0for all s0.\chi(s)\equiv 0\quad\textrm{for all }s\leq 0. (27)

The set on which the supersolution will be obtained is Q={(x,t)N×(0,+)|ϕ(x)R(t)<b}Q=\{(x,t)\in\mathbb{R}^{N}\times(0,+\infty)\ |\ \phi(x)-R(t)<b\}. We will check that QQ has the required properties once the choice of R(t)R(t) is made. Also, to have a suitable behavior of the supersolution on pQ\partial_{p}Q in order to have Property (iii), we require that

χ(s)+as sb.\chi(s)\to+\infty\quad\textrm{as }s\to b^{-}. (28)

To continue to identify the required properties on χ\chi we perform a preliminary computation, in which the argument ϕ(x)R(t)\phi(x)-R(t) in the derivatives of χ\chi will be omitted to have simpler notations. Using (6), we have

vtΔv+|Dv|mf(x)+λ\displaystyle v_{t}-\Delta v+|Dv|^{m}-f(x)+\lambda^{*}
=χR˙(t)(1+χ)(λf(x)+|Dϕ|m)χ′′|Dϕ|2\displaystyle{}\quad=-\chi^{\prime}\dot{R}(t)-(1+\chi^{\prime})(\lambda^{*}-f(x)+|D\phi|^{m})-\chi^{\prime\prime}|D\phi|^{2}
+(1+χ)m|Dϕ|mf(x)+λ\displaystyle{}\qquad+(1+\chi^{\prime})^{m}|D\phi|^{m}-f(x)+\lambda^{*}
=χ(R˙(t)+f(x)λ)+[(1+χ)m(1+χ)]|Dϕ|mχ′′|Dϕ|2\displaystyle{}\quad=\chi^{\prime}(-\dot{R}(t)+f(x)-\lambda^{*})+\left[(1+\chi^{\prime})^{m}-(1+\chi^{\prime})\right]|D\phi|^{m}-\chi^{\prime\prime}|D\phi|^{2}
χ(R˙(t)+f(x)λ)+(12/m)[(1+χ)m(1+χ)]|Dϕ|m\displaystyle{}\quad\geq\chi^{\prime}(-\dot{R}(t)+f(x)-\lambda^{*})+(1-\nicefrac{{2}}{{m}})\left[(1+\chi^{\prime})^{m}-(1+\chi^{\prime})\right]|D\phi|^{m}
m2m(χ′′[(1+χ)m(1+χ)]2m)mm2\displaystyle{}\qquad\ -\frac{m-2}{m}\left(\frac{\chi^{\prime\prime}}{[(1+\chi^{\prime})^{m}-(1+\chi^{\prime})]^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}
χ(R˙(t)+f(x)λ)m2m(χ′′[(1+χ)m(1+χ)]2m)mm2.\displaystyle{}\quad\geq\chi^{\prime}(-\dot{R}(t)+f(x)-\lambda^{*})-\frac{m-2}{m}\left(\frac{\chi^{\prime\prime}}{[(1+\chi^{\prime})^{m}-(1+\chi^{\prime})]^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}. (29)

Here we have used Young’s inequality and m>2m>2 to control the term containing |Dϕ|2|D\phi|^{2} and dropped the resulting nonnegative expression in |Dϕ|m|D\phi|^{m}.

At this point it is perhaps convenient to outline our main argument: it follows from (27) and (3.2) that if ϕ(x)R(t)0\phi(x)-R(t)\leq 0, then vv as defined at the outset is trivially a supersolution of (26). Thus, the crucial point of the proof is to show that if ϕ(x)R(t)>0\phi(x)-R(t)>0, then f(x)f(x) is necessarily large. The precise size of ff 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 χ′′\chi^{\prime\prime} in the last line of (3.2) by choosing χ\chi in a right way. We want to have

m2m(χ′′[(1+χ)m(1+χ)]2m)mm2Φ(χ)\frac{m-2}{m}\left(\frac{\chi^{\prime\prime}}{[(1+\chi^{\prime})^{m}-(1+\chi^{\prime})]^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}\leq\Phi(\chi^{\prime}) (30)

for a suitable function Φ\Phi which gives a uniform bound from below for the expression

χ(R˙(t)+f(x)λ)Φ(χ).\chi^{\prime}(-\dot{R}(t)+f(x)-\lambda^{*})-\Phi(\chi^{\prime}).

From (27) and (28), we know χ\chi^{\prime} takes values from 0 to ++\infty, thus Φ\Phi must have at most linear growth. The correct choice for estimate (30) turns out to be Φ(s)=sβ\Phi(s)=s^{\beta}, where β(0,1)\beta\in(0,1) can be taken arbitrarily close to 11. We state and prove the existence of such χ\chi 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

vtΔv+|Dv|mf(x)+λχ(R˙(t)+f(x)λ)(χ)β.v_{t}-\Delta v+|Dv|^{m}-f(x)+\lambda^{*}\geq\chi^{\prime}(-\dot{R}(t)+f(x)-\lambda^{*})-(\chi^{\prime})^{\beta}. (31)

From the previous considerations, we assume henceforth that ϕ(x)>R(t)\phi(x)>R(t). Using Lemma 3, we have,

R(t)<ϕ(x)C(φ(|x|)α+mαm+1),R(t)<\phi(x)\leq C\left(\varphi(|x|)^{\frac{\alpha+m}{\alpha m}}+1\right),

and from (H1),

f(x)f01[(R(t)CC)+]αmα+mf0.f(x)\geq f_{0}^{-1}\left[\left(\frac{R(t)-C}{C}\right)^{+}\right]^{\frac{\alpha m}{\alpha+m}}-f_{0}. (32)

(In fact, reasoning as in Remark 3, the term f0-f_{0} on the right may be omitted, but this is of little relevance to the computation.) Thus, if R(t)R(t) is chosen large compared to R˙(t)\dot{R}(t), we have R˙(t)+f(x)λ>0-\dot{R}(t)+f(x)-\lambda^{*}>0, and may use Young’s inequality again to estimate

vtΔv+|Dv|mf(x)+λ\displaystyle{}v_{t}-\Delta v+|Dv|^{m}-f(x)+\lambda^{*}
(1β)(χ(R˙(t)+f(x)λ)(f(x)λ+1)β1β)\displaystyle{}\quad\geq(1-\beta)\left(\chi^{\prime}(-\dot{R}(t)+f(x)-\lambda^{*})-(f(x)-\lambda^{*}+1)^{-\frac{\beta}{1-\beta}}\right)
(1β)(R˙(t)+f(x)λ)β1β.\displaystyle{}\quad\geq-(1-\beta)(-\dot{R}(t)+f(x)-\lambda^{*})^{-\frac{\beta}{1-\beta}}. (33)

Furthermore, (32) implies that for some 0<α^<αmα+m0<\hat{\alpha}<\frac{\alpha m}{\alpha+m} and large enough R(t)R(t) we have

R(t)α^+1R˙(t)+f(x)λ.R(t)^{\hat{\alpha}}+1\leq-\dot{R}(t)+f(x)-\lambda^{*}.

Consequently,

(R˙(t)+f(x)λ)β1β(R(t)α^+1)β1βfor all t>0.(-\dot{R}(t)+f(x)-\lambda^{*})^{-\frac{\beta}{1-\beta}}\leq(R(t)^{\hat{\alpha}}+1)^{-\frac{\beta}{1-\beta}}\quad\textrm{for all }t>0. (34)

We write β^=β1β\hat{\beta}=\frac{\beta}{1-\beta}, and let

ψ(t)=(1β)0t(R(τ)α^+1)β^𝑑τ.\psi(t)=(1-\beta)\int_{0}^{t}(R(\tau)^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau.

At this point we set R(t)=t+t0R(t)=t+t_{0}. Thus, the set Q={ϕ(x)(t+t0)<b}Q=\{\phi(x)-(t+t_{0})<b\}—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 ϕ\phi that given a compact set KNK\subset\mathbb{R}^{N}, t0>0t_{0}>0 can chosen large enough so that KQ0K\subset Q_{0}, and by construction, it is clear that if (x,t)Q(x,t)\in Q then (y,s)Q(y,s)\in Q for all sts\geq t. We remark that Property (i) is required to take the limits in Property (ii).

With respect to the previous computations, since R˙(t)=1\dot{R}(t)=1, R(t)R(t) can be taken large while R˙(t)\dot{R}(t) remains bounded, as was assumed. Furthermore, since β^\hat{\beta} can be made arbitrarily large by taking β\beta close to 1 and α^>0\hat{\alpha}>0, the integral defining ψ\psi remains bounded as t+t\to+\infty. We write for further reference

σ:=(1β)0+((τ+t0)α^+1)β^𝑑τ<+.\sigma:=(1-\beta)\int_{0}^{+\infty}((\tau+t_{0})^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau<+\infty. (35)

Note also that ψ\psi is smooth and ψ(t)=(1β)((t+t0)α^+1)β^>0\psi^{\prime}(t)=(1-\beta)((t+t_{0})^{\hat{\alpha}}+1)^{-\hat{\beta}}>0 for all t>0t>0.

To summarize, defining

V(x,t)=v(x,t)+ψ(t),V(x,t)=v(x,t)+\psi(t),

with vv and ψ\psi as above, yields, by (3.2) and (34), that

tVΔV+|DV|mf(x)+λ0for all (x,t)Q.\partial_{t}V-\Delta V+|DV|^{m}-f(x)+\lambda^{*}\geq 0\quad\textrm{for all }(x,t)\in Q\;.

Finally, since ϕC2(N)\phi\in C^{2}(\mathbb{R}^{N}) is bounded from below and both χ\chi and ψ\psi are smooth and nonnegative, VC2,1(Q)V\in C^{2,1}(Q) is bounded from below.

It is easy to check that VV satisfies parts (ii) and (iii) of the lemma. Let KNK\subset\mathbb{R}^{N} be a compact set. Then, for large enough t>0t>0, so that t>ϕ(x)t0t>\phi(x)-t_{0} for all xKx\in K, we have χ(ϕ(x)(t+t0))=0\chi(\phi(x)-(t+t_{0}))=0 by (27). Thus, as t+t\to+\infty,

V(x,t)=ϕ(x)+(1β)0t(τα^+1)β^𝑑τϕ(x)+σ,V(x,t)=\phi(x)+(1-\beta)\int_{0}^{t}(\tau^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau\to\phi(x)+\sigma,

uniformly over KK. On the other hand, for fixed (x,t)pQ(x,t)\in\partial_{p}Q and any (y,s)Q(y,s)\in Q, the definition of QQ implies that ϕ(y)(s+t0)\phi(y)-(s+t_{0}) approaches bb from below as (y,s)(x,t)pQ(y,s)\to(x,t)\in\partial_{p}Q, and similarly for (y,s)(x,0)(y,s)\to(x,0) if xQ0x\in\partial Q_{0}. This implies Property (iii).

Construction of the subsolution. As mentioned earlier, the construction of the subsolution UU is analogous. We briefly go over the main points. Define

u(x,t)=t+t0+ξ(ϕ(x)(t+t0))u(x,t)=t+t_{0}+\xi(\phi(x)-(t+t_{0})) (36)

where again, t0>0t_{0}>0 and ξC(N)\xi\in C^{\infty}(\mathbb{R}^{N}) are to be chosen.

Motivated by Property (ii), we set

ξ(s)=sfor all s0,\xi(s)=s\quad\textrm{for all }s\leq 0, (37)

and to obtain Property (iv), we will require that

ξ(s)Mas s\xi(s)\nearrow M\quad\textrm{as }s\to\infty (38)

for some M>0M>0 to be determined.

Computing as in (3.2), we have

utΔu+|Du|mf(x)+λ\displaystyle{}u_{t}-\Delta u+|Du|^{m}-f(x)+\lambda^{*}
(1ξ)(f(x)λ1)+m2m(ξ′′[ξ(ξ)m]2m)mm2.\displaystyle{}\quad\leq-(1-\xi^{\prime})(f(x)-\lambda^{*}-1)+\frac{m-2}{m}\left(\frac{-\xi^{\prime\prime}}{[\xi^{\prime}-(\xi^{\prime})^{m}]^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}.

Combined with (37), this implies that uu is trivially a subsolution for ϕ(x)(t+t0)0\phi(x)-(t+t_{0})\leq 0, and using Proposition 5 we obtain

utΔu+|Du|mf(x)+λ(1ξ)(f(x)λ1)+(1ξ)β,u_{t}-\Delta u+|Du|^{m}-f(x)+\lambda^{*}\leq-(1-\xi^{\prime})(f(x)-\lambda^{*}-1)+(1-\xi^{\prime})^{\beta},

with 0<β<10<\beta<1, β\beta arbitrarily close to 1.

From here on we argue as before to conclude that

U(x,t):=u(x,t)(1β)0t(τα^+1)β^𝑑τU(x,t):=u(x,t)-(1-\beta)\int_{0}^{t}(\tau^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau

is a subsolution in all of N×(0,)\mathbb{R}^{N}\times(0,\infty). ∎

We conclude this section by proving the existence of the functions χ\chi and ξ\xi needed in the proof of Lemma 5.

Proposition 5.

Let β(0,1)\beta\in(0,1).

  1. (a)

    There exist b>0b>0 and χC((,b))\chi\in C^{\infty}((-\infty,b)) satisfying (27) and (28) such that

    m2m(χ′′(s)[(1+χ(s))m(1+χ(s))]2m)mm2(χ(s))β\displaystyle\frac{m-2}{m}\left(\frac{\chi^{\prime\prime}(s)}{[(1+\chi^{\prime}(s))^{m}-(1+\chi^{\prime}(s))]^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}\leq(\chi^{\prime}(s))^{\beta}
    for all s(0,b).\displaystyle\textrm{ for all }s\in(0,b).
  2. (b)

    There exists ξC()\xi\in C^{\infty}(\mathbb{R}) satisfying (37) and (38) such that

    m2m(ξ′′(s)[ξ(s)(ξ(s))m]2m)mm2(1ξ(s))βfor all s(0,+).\frac{m-2}{m}\left(\frac{-\xi^{\prime\prime}(s)}{[\xi^{\prime}(s)-(\xi^{\prime}(s))^{m}]^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}\leq(1-\xi^{\prime}(s))^{\beta}\quad\textrm{for all }s\in(0,+\infty).
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 χ(s)=0\chi(s)=0 for s0s\leq 0 (this is (37)) and for s>0s>0 take χ\chi to be the solution of the ODE

χ′′=C(χ)β1(1+χ)β2in (0,b),\displaystyle\chi^{\prime\prime}=C(\chi^{\prime})^{\beta_{1}}(1+\chi^{\prime})^{\beta_{2}}\quad\textrm{in }(0,b),
χ(0)=χ(0)=0,\displaystyle\chi(0)=\chi^{\prime}(0)=0, (39)

where β1,β2>0\beta_{1},\beta_{2}>0 are to be chosen, and b>0b>0 will determined by β1\beta_{1} and β2\beta_{2}. Note that (3.2)\eqref{chi_ODE} can be seen as a first-order ODE. Taking β1<1\beta_{1}<1 avoids the trivial solution χ0\chi\equiv 0, since in this case (3.2) fails to meet the Osgood condition for uniqueness (see e.g., [1]). Furthermore, if β2\beta_{2} is chosen so that β1+β2>1\beta_{1}+\beta_{2}>1, we achieve the blow-up condition (28). It can also be shown that

χ(s),χ′′(s)>0for all s>0.\chi^{\prime}(s),\chi^{\prime\prime}(s)>0\quad\textrm{for all }s>0. (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 C>0C>0 and any 0<β<10<\beta<1,

(C(χ(s))β1(1+χ(s))β2((1+χ(s))m(1+χ(s)))2m)mm2(χ(s))β.\left(\frac{C(\chi^{\prime}(s))^{\beta_{1}}(1+\chi^{\prime}(s))^{\beta_{2}}}{\left((1+\chi^{\prime}(s))^{m}-(1+\chi^{\prime}(s))\right)^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}\leq(\chi^{\prime}(s))^{\beta}. (41)

We will proceed by considering different ranges of s>0s>0.

Assume first that ss is small, say s<δs<\delta for some small δ>0\delta>0. By the convexity of ssms\mapsto s^{m}, we have (1+χ)m(1+χ)(m1)χ(1+\chi^{\prime})^{m}-(1+\chi^{\prime})\geq(m-1)\chi^{\prime} for χ>0\chi^{\prime}>0, and since (1+χ)β2mm21(1+\chi^{\prime})^{\beta_{2}\frac{m}{m-2}}\rightarrow 1 for χ0\chi^{\prime}\to 0, we control this factor with the constant CC on the left of (41)\eqref{chiineq2}. Thus taking a suitably small C>0C>0 we have

(C(χ)β1(1+χ)β2((1+χ)m(1+χ))2m)mm2\displaystyle\left(\frac{C(\chi^{\prime})^{\beta_{1}}(1+\chi^{\prime})^{\beta_{2}}}{\left((1+\chi^{\prime})^{m}-(1+\chi^{\prime})\right)^{\frac{2}{m}}}\right)^{\frac{m}{m-2}} (C(χ)β1(χ)2m)mm2\displaystyle{}\leq\left(C\frac{(\chi^{\prime})^{\beta_{1}}}{(\chi^{\prime})^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}
(χ)β1m2m2.\displaystyle{}\leq(\chi^{\prime})^{\frac{\beta_{1}m-2}{m-2}}.

We thus obtain (41) for any β(0,1)\beta\in(0,1) by choosing β1(0,1)\beta_{1}\in(0,1) appropriately. In the proof of Lemma 5, we require to have β\beta arbitrarily close to 11. This is achieved by taking β1\beta_{1} close to 11. Incidentally, the computation also shows that to have control by a linear term in (41) (i.e, β=1\beta=1) we would require β1=1\beta_{1}=1, which is impossible if we are to have a nontrivial solution of (3.2).

Assume now that δsbδ\delta\leq s\leq b-\delta. This implies that χ(s)>δ¯\chi^{\prime}(s)>\bar{\delta} for some δ¯>0\bar{\delta}>0. In this case, the expressions on either side of (41) are continuous, hence remain bounded. Thus (41) is obtained by choosing an appropriately small CC.

Finally, we address the case s>bδs>b-\delta. Since δ>0\delta>0 is small and χ(s)+\chi^{\prime}(s)\to+\infty as sbs\to b^{-}, this amounts to checking (41) in the the limit χ\chi^{\prime}\to\infty. Using only that m>2m>2, a straightforward computation shows that setting 1<β2<21<\beta_{2}<2 in (3.2), the left-hand side of (41) vanishes as χ+\chi^{\prime}\to+\infty, while the right-hand side goes to infinity. We have thus shown (41) holds for all s(0,b)s\in(0,b). Using (27), we conclude for all s(,b)s\in(-\infty,b).

For part (b), define ξ(s)\xi(s) for s>0s>0 as the solution of

ξ′′=C(1ξ)η1(ξ)η2in (0,+),ξ(0)=0,ξ(0)=1,\displaystyle\xi^{\prime\prime}=-C(1-\xi^{\prime})^{\eta_{1}}(\xi^{\prime})^{\eta_{2}}\quad\textrm{in }(0,+\infty),\qquad\xi(0)=0,\ \xi^{\prime}(0)=1, (42)

with 0<η1<10<\eta_{1}<1, η2>0\eta_{2}>0 to be chosen.

It can be shown that a nontrivial solution exists and satisfies

ξ(s)>0,Cξ′′(s)<0and0<ξ(s)<1,for all s>0,\xi(s)>0,\ -C\leq\xi^{\prime\prime}(s)<0\quad\textrm{and}\quad 0<\xi^{\prime}(s)<1,\qquad\textrm{for all }s>0, (43)

for some C>0C>0, while taking η1+η2>1\eta_{1}+\eta_{2}>1 gives (38).

An analysis similar to that of part (a) gives that (42) and (43) imply

(ξ′′[ξ(ξ)m]2m)mm2(1ξ)η1m2m2.\left(\frac{-\xi^{\prime\prime}}{[\xi^{\prime}-(\xi^{\prime})^{m}]^{\frac{2}{m}}}\right)^{\frac{m}{m-2}}\leq(1-\xi^{\prime})^{\frac{\eta_{1}m-2}{m-2}}.

Thus, choosing η1\eta_{1} appropriately we conclude. ∎

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 fWloc1,(N)f\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}) satisfies (H1) and u0C(N)u_{0}\in C(\mathbb{R}^{N}) is bounded from below. Then u(x,t)λtu(x,t)-\lambda^{*}t is bounded over compact sets, uniformly with respect to t>0t>0.

Proof.

The proof follows by comparing u(x,t)λtu(x,t)-\lambda^{*}t, which solves (26), to the sub- and supersolutions constructed in Lemma 5, to which we refer the reader for notation and properties.

Let KK be a compact subset of N\mathbb{R}^{N}. As noted earlier, if t0>0t_{0}>0 is large enough, we have KQ0={ϕ(x)t0<b}¯K\subset Q_{0}=\overline{\{\phi(x)-t_{0}<b\}}, while Q0Q_{0} is also a compact subset of N\mathbb{R}^{N}, by the coercivity of ϕ\phi (see Lemma 4). Hence, for a large enough CC\in\mathbb{R}, we have

V(x,0)+Cu0 in Q0.V(x,0)+C\geq u_{0}\quad\textrm{ in }Q_{0}.

Moreover, by construction, we have K×(0,+)QK\times(0,+\infty)\subset Q.

Since, by construction, V(x,t)+V(x,t)\to+\infty on the lateral boundary of QQ, by comparison (Theorem 4), we have that

V(x,t)+Cu(x,t)λtfor all (x,t)Q.V(x,t)+C\geq u(x,t)-\lambda^{*}t\quad\textrm{for all }(x,t)\in Q.

Hence, this inequality is true on K×(0,+)K\times(0,+\infty).

Furthermore, by Lemma 5 (ii),

V(x,t)+Cϕ(x)+σ+C,uniformly over K as t+.V(x,t)+C\to\phi(x)+\sigma+C,\quad\textrm{uniformly over }K\textrm{ as }t\to+\infty.

Therefore, we have

lim supt+(u(x,t)λt)ϕ(x)+σ+Cfor all (x,t)K×(0,+).\limsup_{t\to+\infty}\ \!\!\!^{*}\,\left(u(x,t)-\lambda^{*}t\right)\leq\phi(x)+\sigma+C\quad\textrm{for all }(x,t)\in K\times(0,+\infty).

Similarly, we use the subsolution UU from Lemma 5 to obtain the lower bound. Recalling that u0u_{0} may be assumed nonnegative, by Lemma 5 (iv), we have

U(x,0)M0u0(x)for all xN,U(x,0)-M\leq 0\leq u_{0}(x)\quad\textrm{for all }x\in\mathbb{R}^{N},

hence, by comparison,

U(x,t)Mu(x,t)λtfor all (x,t)N×(0,+).U(x,t)-M\leq u(x,t)-\lambda^{*}t\quad\textrm{for all }(x,t)\in\mathbb{R}^{N}\times(0,+\infty).

Thus for large t>0t>0, by Lemma 5 (ii),

ϕ(x)σMu(x,t)λtfor all xK,\phi(x)-\sigma-M\leq u(x,t)-\lambda^{*}t\quad\textrm{for all }x\in K,

and finally,

ϕ(x)σMClim inft+(u(x,t)λt)for all xK,t>0,\phi(x)-\sigma-M-C\leq\liminf_{t\to+\infty}\ \!\!\!{}_{*}\,\left(u(x,t)-\lambda^{*}t\right)\quad\textrm{for all }x\in K,t>0,

by taking C>0C>0 as before. ∎

An immediate consequence of Lemma 6 is the following weaker convergence result.

Corollary 6.

Under the assumptions of Lemma 6,

u(x,t)tλlocally uniformly in N as t+.\frac{u(x,t)}{t}\to\lambda^{*}\quad\textrm{locally uniformly in }\mathbb{R}^{N}\textrm{ as }t\to+\infty.

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 v(x,t):=u(x,t)λtv(x,t):=u(x,t)-\lambda^{*}t. By Lemma 6, vv is locally bounded for all t>0t>0, hence the half-relaxed limit

v¯(x)=lim suptv(x,t)\bar{v}(x)=\limsup_{t\to\infty}\ \!\!\!^{*}\,v(x,t)

is well-defined for all xNx\in\mathbb{R}^{N}. By the stability of viscosity solutions, v¯\bar{v} is a subsolution of (6) in all of N\mathbb{R}^{N}. Furthermore, adding an appropriate constant to either ϕ\phi or v¯\bar{v} so that they coincide at some point, we have by the Strong Maximum Principle that

v¯(x)=ϕ(x)+c^for all xN,\bar{v}(x)=\phi(x)+\hat{c}\quad\textrm{for all }x\in\mathbb{R}^{N},

for some c^N\hat{c}\in\mathbb{R}^{N} (see, e.g., the proof of Theorem 3.1 in [12] for details).

Step 2. Fix x^N\hat{x}\in\mathbb{R}^{N}. By the definition of half-relaxed limits, there exists a sequence (xn,tn)N×(0,+)(x_{n},t_{n})\in\mathbb{R}^{N}\times(0,+\infty) such that xnx^,tnx_{n}\to\hat{x},\ t_{n}\to\infty, and v(xn,tn)v¯(x^)v(x_{n},t_{n})\to\bar{v}(\hat{x}). Consider vn():=v(,tn1)v_{n}(\cdot):=v(\cdot,t_{n}-1). Again by Lemma 6, the sequence (vn)(v_{n}) 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 w0C(N)w_{0}\in C(\mathbb{R}^{N}) such that, given a compact KNK\subset\mathbb{R}^{N}, there exists a subsequence (vn)(v_{n^{\prime}}) such that vnw0v_{n^{\prime}}\to w_{0} uniformly over KK as nn^{\prime}\to\infty.

Consider now

wn(x,t)=v(x,t+tn1)for (x,t)N×(0,+).w_{n^{\prime}}(x,t)=v(x,t+t_{n^{\prime}}-1)\quad\textrm{for }(x,t)\in\mathbb{R}^{N}\times(0,+\infty).

The sequence (wn)(w_{n^{\prime}}) is again uniformly equicontinuous (in both space and time variables) due to Corollary 9. Thus, given also T>0T>0, we have that

wnw uniformly over K×[0,T] for some wC(N×(0,+))w_{n^{\prime}}\to w\textrm{ uniformly over }K\times[0,T]\quad\textrm{ for some }w\in C(\mathbb{R}^{N}\times(0,+\infty)) (44)

(again passing to a subsequence if necessary—this is omitted for ease of notation). By the definition of the half-relaxed limit v¯\bar{v}, w(x,t)v¯(x)=ϕ(x)+c^w(x,t)\leq\bar{v}(x)=\phi(x)+\hat{c} for all (x,t)N×(0,+)(x,t)\in\mathbb{R}^{N}\times(0,+\infty), and by construction,

w(x^,1)=limnv(x^,tn)=ϕ(x^)+c^.w(\hat{x},1)=\lim_{n^{\prime}}v(\hat{x},t_{n^{\prime}})=\phi(\hat{x})+\hat{c}. (45)

Hence, by the parabolic Strong Maximum Principle (see Lemma 7 and Remark 7 in the appendix), w(ϕ+c^)w-(\phi+\hat{c}) is constant in N×[0,1]\mathbb{R}^{N}\times[0,1]. In particular, w0(x)=ϕ(x)+c^w_{0}(x)=\phi(x)+\hat{c} for all xNx\in\mathbb{R}^{N}.

To summarize, we have obtained that given any compact KNK\subset\mathbb{R}^{N}, there exists a sequence tn1t_{n^{\prime}}-1\to\infty such that

v(,tn1)ϕ+c^ uniformly over K as tn1.v(\cdot,t_{n^{\prime}}-1)\to\phi+\hat{c}\quad\textrm{ uniformly over }K\textrm{ as }t_{n^{\prime}}-1\to\infty. (46)

In the next step, we will use (46) for a suitable KK that is chosen larger than the set on which the uniform convergence will hold.

Step 3. Let ϵ>0\epsilon>0 and K^N\widehat{K}\subset\mathbb{R}^{N} 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 R>0R>0 and (x,t)N×(0,+)(x,t)\in\mathbb{R}^{N}\times(0,+\infty), we define

VR(x,t)=ϕ(x)+c^+χ(ϕ(x)+c^(t+R))+Rt+R(τα^+1)β^𝑑τ+1R,V_{R}(x,t)=\phi(x)+\hat{c}+\chi(\phi(x)+\hat{c}-(t+R))+\int_{R}^{t+R}(\tau^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau+\frac{1}{R},

with χ,α^\chi,\hat{\alpha} and β^\hat{\beta} are as in the definition of the supersolution VV. Thus, arguing as in the proof of Lemma 5, VRV_{R} is a supersolution of (26) in Q={ϕ(x)+c^(t+R)<b}Q=\{\phi(x)+\hat{c}-(t+R)<b\}.

We take R>0R>0 large enough so that

ϕ(x)+c^R<bfor all xK^,\phi(x)+\hat{c}-R<b\quad\textrm{for all }x\in\hat{K}, (47)

where bb is given by (28), i.e., such that χ(s)+\chi(s)\to+\infty for sbs\to b^{-}. Thus, by (47) we have that K^Q0=Q¯{t=0}\hat{K}\subset Q_{0}=\overline{Q}\cap\{t=0\}, and thus K^×(0,+)Q\hat{K}\times(0,+\infty)\subset Q. Furthermore, arguing as in the proof of Lemma 5,

VR(y,0)+as yx, for all xQ0,V_{R}(y,0)\to+\infty\quad\textrm{as }y\to x,\textrm{ for all }x\in Q_{0}, (48)

and

VR(y,s)+as (y,s)(x,t), for all (x,t)pQ,t>0.V_{R}(y,s)\to+\infty\quad\textrm{as }(y,s)\to(x,t),\textrm{ for all }(x,t)\in\partial_{p}Q,\ t>0. (49)

Recall that, as a consequence of Lemma 4, Q0Q_{0} is compact (see also the proof of Lemma 6). We can thus use (46) from Step 2 for K=Q0K=Q_{0} to obtain that, for large enough nn^{\prime},

v(x,tn1)<ϕ(x)+c^+1Rfor all xQ0v(x,t_{n^{\prime}}-1)<\phi(x)+\hat{c}+\frac{1}{R}\quad\textrm{for all }x\in Q_{0}

This gives that v(x,tn1)VR(x,0)v(x,t_{n^{\prime}}-1)\leq V_{R}(x,0) in Q0Q_{0}, by construction. Together with (48), (49), this implies

v(x,tn1+t)VR(x,t)for all (x,t)pQ.v(x,t_{n^{\prime}}-1+t)\leq V_{R}(x,t)\quad\textrm{for all }(x,t)\in\partial_{p}Q. (50)

Since vv and VRV_{R} are a solution and a supersolution of (26), respectively, and satisfy (50), by comparison (Theorem 4) we have

v(x,t+tn1)VR(x,t)in Q.v(x,t+t_{n^{\prime}}-1)\leq V_{R}(x,t)\quad\textrm{in }Q. (51)

In particular, (51) holds in K^×(0,+)\hat{K}\times(0,+\infty).

We note that R+(τα^+1)β^𝑑τ+1R=o(1)\int_{R}^{+\infty}(\tau^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau+\frac{1}{R}=o(1) as R+R\to+\infty. Thus, arguing as in the proof of Lemma 5 (ii), we take R>0R>0 larger still so that,

V^R(x):=\displaystyle\widehat{V}_{R}(x):={} ϕ(x)+c^+χ(ϕ(x)+c^R)+R+(τα^+1)β^𝑑τ+1R\displaystyle\phi(x)+\hat{c}+\chi(\phi(x)+\hat{c}-R)+\int_{R}^{+\infty}(\tau^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau+\frac{1}{R}
<\displaystyle<{} ϕ(x)+c^+ϵfor all xK^.\displaystyle\phi(x)+\hat{c}+\epsilon\quad\textrm{for all }x\in\widehat{K}. (52)

By (40), tχ(ϕ(x)+c^(t+R))t\mapsto\chi(\phi(x)+\hat{c}-(t+R)) is nonincreasing, hence

VR(x,t)V^R(x) for all t>0,x^K^.V_{R}(x,t)\leq\widehat{V}_{R}(x)\quad\textrm{ for all }t>0,\ \hat{x}\in\widehat{K}. (53)

Therefore, combining (51), (4.1) and (53), we obtain

v(x,t+tn1)ϕ(x)+c^+ϵfor all xK^,t>0.v(x,t+t_{n^{\prime}}-1)\leq\phi(x)+\hat{c}+\epsilon\quad\textrm{for all }x\in\widehat{K},\ t>0. (54)

To obtain the lower bound corresponding to (54), we define the analogue of VRV_{R} based on the subsolution UU from Lemma 5. For (x,t)N×(0,+)(x,t)\in\mathbb{R}^{N}\times(0,+\infty), define

UR(x,t)=t+R+ξ(ϕ(x)+c^(t+R))Rt+R(τα^+1)β^𝑑τ1R,U_{R}(x,t)=t+R+\xi(\phi(x)+\hat{c}-(t+R))-\int_{R}^{t+R}(\tau^{\hat{\alpha}}+1)^{-\hat{\beta}}\,d\tau-\frac{1}{R},

with ξ,α^\xi,\hat{\alpha} and β^\hat{\beta} as before. Consider now v¯(x)=lim inftv(x,t).\underline{v}(x)=\liminf_{t\to\infty}\ \!\!\!{}_{*}\,v(x,t). Arguing as in Step 1, it follows that

v¯(x)=ϕ(x)+m,\underline{v}(x)=\phi(x)+m^{-},

for some mm^{-}\in\mathbb{R}. By definition of the half-relaxed limit, we have

ϕ(x)+mv(x,tn1)for all xN.\phi(x)+m^{-}\leq v(x,t_{n^{\prime}}-1)\quad\textrm{for all }x\in\mathbb{R}^{N}. (55)

for sufficiently large nn^{\prime}. Recall from the construction of Lemma 5 that ξ(s)M\xi(s)\leq M for all ss\in\mathbb{R}, for some MM\in\mathbb{R}. We set R>0R>0 large enough so that K^BR\hat{K}\subset B_{R}, URU_{R} is a subsolution of (26) and, using Lemma 4,

ϕ(x)RMmfor all xN\BR,\phi(x)-R\geq M-m^{-}\quad\textrm{for all }x\in\mathbb{R}^{N}\backslash B_{R}, (56)

in addition to the requirements made in the construction of VRV_{R}. We then have, by (55) and (56),

UR(x,0)\displaystyle U_{R}(x,0)\leq{} R+ξ(ϕ(x)+c^R)R+M\displaystyle R+\xi(\phi(x)+\hat{c}-R)\leq R+M
\displaystyle\leq{} ϕ(x)+mv(x,tn1)for all xN\BR.\displaystyle\phi(x)+m^{-}\leq v(x,t_{n^{\prime}}-1)\quad\textrm{for all }x\in\mathbb{R}^{N}\backslash B_{R}.

By (46) we have, for sufficiently large nn^{\prime},

v(x,tn1)>ϕ(x)+c^1Rfor all xB¯Rv(x,t_{n^{\prime}}-1)>\phi(x)+\hat{c}-\frac{1}{R}\quad\textrm{for all }x\in\overline{B}_{R}

Recalling that ξ(s)s\xi(s)\leq s for all ss\in\mathbb{R}, we have

UR(x,0)R+ξ(ϕ(x)+c^R)1Rϕ(x)+c^1Rfor all xN.U_{R}(x,0)\leq R+\xi(\phi(x)+\hat{c}-R)-\frac{1}{R}\leq\phi(x)+\hat{c}-\frac{1}{R}\quad\textrm{for all }x\in\mathbb{R}^{N}.

Thus we obtain

UR(x,0)v(x,tn1)for all xN.U_{R}(x,0)\leq v(x,t_{n}-1)\quad\textrm{for all }x\in\mathbb{R}^{N}. (57)

By comparison (Theorem 4), this implies that

UR(x,t)v(x,t+tn1)for all xN,t>0.U_{R}(x,t)\leq v(x,t+t_{n}-1)\quad\textrm{for all }x\in\mathbb{R}^{N},\ t>0. (58)

From this point on, we argue as we did before for VRV_{R}. We remark that the analogue of (53) (for a similarly defined U^R(x)\widehat{U}_{R}(x)) is now given by the fact that the function tt+R+ξ(ϕ(x)+c^(t+R))t\mapsto t+R+\xi(\phi(x)+\hat{c}-(t+R)) is nondecreasing, since 0ξ(s)10\leq\xi^{\prime}(s)\leq 1 for all ss\in\mathbb{R}, by (43). Thus, for large enough nn^{\prime}, depending on R>0R>0, we have

v(x,t+tn1)ϕ(x)+c^ϵ,for all xK^,t>0,v(x,t+t_{n^{\prime}}-1)\geq\phi(x)+\hat{c}-\epsilon,\quad\textrm{for all }x\in\widehat{K},\ t>0,

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 R>0R>0, let uUSC(B¯R)u\in USC(\overline{B}_{R}) be a subsolution of

tr(A(x)D2u)+|Du|m=f1(x)in BR,-\mathrm{tr}(A(x)D^{2}u)+|Du|^{m}=f_{1}(x)\quad\textrm{in }B_{R},

where for each xBRx\in B_{R}, A(x)A(x) is a nonnegative symmetric matrix such that the map xA(x)x\mapsto A(x) is bounded and continuous in BRB_{R}, and f1C(BR)f_{1}\in C(B_{R}). Then uC0,γ(B¯R)u\in C^{0,\gamma}(\overline{B}_{R}) and

|u(x)u(y)|K1|xy|γ,|u(x)-u(y)|\leq K_{1}|x-y|^{\gamma},

where γ=m2m1\gamma=\frac{m-2}{m-1} and K1K_{1} depends only on m,AL(BR)m,\|A\|_{L^{\infty}(B_{R})} and dBRm(1γ)f1+L(BR)\|d_{\partial B_{R}}^{m(1-\gamma)}f_{1}^{+}\|_{L^{\infty}(B_{R})}.

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 AL(BR)\|A\|_{L^{\infty}(B_{R})}, but not on any lower bound for the matrix AA. It is in fact valid in the completely degenerate, or first-order, case.

Theorem 8 (Local Gradient Bounds).

Let R,τ>0R,\tau>0.

  1. (a)

    There exists K2>0K_{2}>0 depending only on mm and NN, such that for any RR+1>0R\geq R^{\prime}+1>0 the solution of (6) satisfies

    supBR|Dϕ|K2(1+supBR|f|1m+supBR|Df|12m1).\sup_{B_{R^{\prime}}}|D\phi|\leq K_{2}(1+\sup_{B_{R}}|f|^{\frac{1}{m}}+\sup_{B_{R}}|Df|^{\frac{1}{2m-1}}).
  2. (b)

    If uu is a solution of

    utΔu+|Du|m=f(x)\displaystyle u_{t}-\Delta u+|Du|^{m}=f(x) in Ω×(0,T],\displaystyle{}\quad\textrm{in }\Omega\times(0,T], (59)
    u(x,0)=u0(x)\displaystyle u(x,0)=u_{0}(x) in Ω¯,\displaystyle{}\quad\textrm{in }\overline{\Omega}, (60)

    where Ω\Omega is a domain of N\mathbb{R}^{N} such that BR+1ΩB_{R+1}\subset\Omega and fWloc1,(N)f\in W^{1,\infty}_{\textit{loc}}(\mathbb{R}^{N}), then uu is Lipschitz continuous in xx in BR×[τ,+)B_{R}\times[\tau,+\infty) and |Du(x,t)|L|Du(x,t)|\leq L for a.e. xBRx\in B_{R}, for all tτt\geq\tau, where LL depends on RR and τ\tau. Moreover this result holds with τ=0\tau=0 if u0u_{0} is locally Lipschitz continuous in Ω\Omega.

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 (0,T)(0,T) (for arbitrary T>0T>0), but has no dependence on the data at t=0t=0 and can therefore be extended to [τ,+)[\tau,+\infty) for τ>0\tau>0.

Corollary 9.

Let R,τ>0R,\tau>0. The solution uu of (59)-(60) is Hölder-continuous of order 1/21/2 in BR×[τ,+)B_{R}\times[\tau,+\infty) and uC0,1/2(BR×[τ,+))M\|u\|_{C^{0,1/2}(B_{R}\times[\tau,+\infty))}\leq M for some M>0M>0 depending on R,τR,\tau, the data u0,fu_{0},f and universal constants. Moreover, this result holds with τ=0\tau=0 if u0u_{0} is locally Lipschitz continuous in Ω\Omega.

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 uu is of some order α(0,1)\alpha\in(0,1) depending on universal constants, or by the argument of [8], which implies that a solution which is Lipschitz in xx is 1/21/2-Hölder-continuous in tt.

In both proofs, the result relies on part (b) of Theorem 8, which implies that the solution uu of (1) satisfies |Du|L|Du|\leq L in BR×(τ,+)B_{R}\times(\tau,+\infty), and therefore that utΔuu_{t}-\Delta u is bounded in BR×(τ,+)B_{R}\times(\tau,+\infty). This allows the use of either of the two arguments just mentioned. ∎

Lemma 7 (Strong Maximum Principle).

Let R,C>0R,C>0. Any upper semicontinuous subsolution of

utΔuC|Du|=0in BR×(0,+)u_{t}-\Delta u-C|Du|=0\quad\text{in }B_{R}\times(0,+\infty) (61)

that attains its maximum at some (x0,t0)BR×(0,+)(x_{0},t_{0})\in B_{R}\times(0,+\infty) is constant in BR×[0,t0]B_{R}\times[0,t_{0}].

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 wϕw-\phi, where ϕ\phi is a solution of the ergodic equation (6) and ww is given by (44), can be shown to satisfy an equation like (61) by using the convexity of ξ|ξ|m\xi\to|\xi|^{m} in any ball BRB_{R}. In this case, the constant CC in (61) depends on the gradient bound for ϕ\phi from Theorem 8, (a). Of course, the complete result is obtained by letting RR tend to ++\infty.

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.