Lipschitz regularity for viscous Hamilton-Jacobi equations with $L^p$ terms
Marco Cirant, Alessandro Goffi

TL;DR
This paper establishes Lipschitz regularity for solutions to viscous Hamilton-Jacobi equations with right-hand sides in Lebesgue spaces, using a duality approach and gradient analysis of a dual Fokker-Planck equation.
Contribution
It introduces a novel duality method to prove Lipschitz regularity for viscous Hamilton-Jacobi equations with L^p right-hand sides, highlighting the regularizing effect of diffusion.
Findings
Lipschitz regularity achieved for solutions with L^p data
Duality approach links Hamilton-Jacobi and Fokker-Planck equations
Regularizing effect due to diffusion and Hamiltonian coercivity
Abstract
We provide Lipschitz regularity for solutions to viscous time-dependent Hamilton-Jacobi equations with right-hand side belonging to Lebesgue spaces. Our approach is based on a duality method, and relies on the analysis of the regularity of the gradient of solutions to a dual (Fokker-Planck) equation. Here, the regularizing effect is due to the non-degenerate diffusion and coercivity of the Hamiltonian in the gradient variable.
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Lipschitz regularity for viscous Hamilton-Jacobi
equations with terms
Marco Cirant and Alessandro Goffi
We provide Lipschitz regularity for solutions to viscous time-dependent Hamilton-Jacobi equations with right-hand side belonging to Lebesgue spaces. Our approach is based on a duality method, and relies on the analysis of the regularity of the gradient of solutions to a dual (Fokker-Planck) equation. Here, the regularizing effect is due to the non-degenerate diffusion and coercivity of the Hamiltonian in the gradient variable.
AMS-Subject Classification. 35F21, 35K55, 35B65
Keywords. Hamilton-Jacobi equations with unbounded data, Lipschitz regularity, Kardar-Parisi-Zhang, adjoint method
1 Introduction
We study the regularization effect of viscous non-degenerate Hamilton-Jacobi (briefly HJ) equations
[TABLE]
with unbounded right-hand side , continuous initial datum , and superlinear Hamiltonian of the model form
[TABLE]
Our main aim is to show that continuous weak solutions that satisfy the integrability condition
[TABLE]
(see in particular Definition 2.1, (i)) become immediately Lipschitz continuous at positive times. Moreover, we prove that such solutions exist and are unique.
Regularity of solutions to HJ equations has been the object of an extensive literature, and the study of Lipschitz properties has received a particular focus motivated by problems in control theory. The interest has been recently renewed in the study of Mean-Field Game systems, where HJ equations of the form (1) with unbounded terms naturally appear. In this setting, few results on Lipschitz regularity are available in the literature, mainly the works by D. Gomes and collaborators [23, 24]. We also mention some recent results by P. Cardaliaguet, A. Porretta, D. Tonon, and P. Cardaliaguet L. Silvestre [12, 13] on Sobolev and Hölder regularity respectively.
Note that, depending on the growth of with respect to the gradient variable, two main regimes are typically identified. If is sub-quadratic, i.e. , then the second order diffusion is the dominating term at small scales. On the other hand, in the super-quadratic case the diffusion term is considered “weaker”, and thus typically regarded as a perturbation of a first-order HJ equation. This distinction can be observed heuristically via an scaling argument (see e.g. [13, Section 2.1]). A goal of this work is to combine the regularization effects of both the diffusion and the coercivity of the Hamiltonian, and to give a unified treatment of sub- and super-quadratic cases.
We give here a very brief review of different techniques that are available to obtain Lipschitz regularity for HJ equations with bounded (or more regular) , with the understanding that the literature on this subject is too wide to keep track of all the references. First, by means of a classical method by S.V. Bernstein [7], Lipschitz regularity for general (sub-quadratic) quasi-linear problems goes back to standard literature [28, 37]. See also [17] for specific results on HJ equations. For sub-quadratic problems, we also mention some techniques based on Sobolev embeddings and interpolation [1, 25], see also [26]. Then, the so-called Ishii-Lions method [27], has been extensively developed in the realm of HJ equations, see e.g. [4, 5, 34, 20]; this method has been coupled succesfully with the Bernstein idea [2, 19, 30]. Though some of these mentioned results cover the full super-linear regime (if not the sub-quadratic one only), we emphasize that at least continuity of is always required.
Our analysis is based on a duality approach, rather than on viscosity methods. The study of linear equations through their duals (adjoint) is a classical idea, which has been explored recently in the nonlinear framework of HJ equations by L.C. Evans [21]. As already mentioned at the beginning of this introduction, its application to Lipschitz regularity for viscous HJ equations appearing in Mean-Field Game systems has been then investigated in [23, 24]. In these works some restrictions on the growth of , i.e. in [24], or on the space dimension [23] are imposed. Here, we obtain results for all and , by using extensively maximal regularity results in the analysis of the dual equation. We also emphasize that previous works explore a priori regularity of smooth solutions , while here we deal with least possible weak solutions to (1).
We are now ready to state our main results. Assume that , and , where is the set of symmetric real matrices, and
[TABLE]
Here and in the sequel the summation over repeated indices is understood. We perform our analysis on the flat torus , to avoid boundary phenomena. The treatment of problems on the whole should require a modest review of the methods developed here. A local analysis on bounded domains is on the other hand much more delicate (possible boundary blow-up of is expected [35]), and will be matter of future work.
We suppose that is , and
[TABLE]
for every , . Moreover, we suppose without loss of generality that (if not, one may compensate by adding a positive constant to ). Note that our model Hamiltonian (2) satisfies (H); we mention that the assumptions on in (2) could be relaxed, but this is beyond the scopes of this paper. Moreover, an explicit dependance with respect to the time variable could be easily added to provided that it respects the growth properties stated in (H).
The first result concerns the regularizing effect of the equation, namely Lipschitz regularity of weak solutions for positive times. If the initial datum is assumed to be Lipschitz, then such regularity can be extended uniformly up to . Below is the conjugate exponent of .
Theorem 1.1**.**
Suppose that
* and satisfies (A),*
, it is convex in the second variable, and satisfies (H),
, for some and .
a)* Let be a local weak solution to (1) (in the sense of Definition 2.1) with in (13), i.e.*
[TABLE]
Then, for all . In particular, for all there exists a positive constant depending on , , , , , , , such that
[TABLE]
b)* If, in addition, , and is a global weak solution, then there exists a positive constant depending on , , , , , , such that*
[TABLE]
Moreover, the same conclusions hold if is a weak solution to (1) with in (13) whenever on for some satisfying (A).
Note that if (i.e. the sub-quadratic/quadratic regime), then is required to be in for some , while in the super-quadratic case conditions on are more strict.
We are then able to show the existence and uniqueness of weak solutions.
Theorem 1.2**.**
Suppose that the assumptions on of Theorem 1.1 are in force. If , then there exists a unique local weak solution to (1). If , then such a solution is a global weak solution.
Finally, if we assume in addition that is a classical solution to (1), we have the following a priori regularity results. Note that, with respect to the previous Theorem 1.1, Lipschitz bounds will depend on weaker informations on the data .
Theorem 1.3**.**
Suppose that
* and satisfies (A),*
* and satisfies (H),*
,
.
Let
[TABLE]
Then, there exists a positive constant depending on , , , , , , , , such that every classical solution to (1) satisfies
[TABLE]
Note that (5) reads
[TABLE]
In particular, we obtain “maximal regularity” whenever , that is a control on and in with respect to the the norm of for any . The results obtained for are also new, and constitute a first step in the achievement of a parabolic counterpart of a remarkable result by P.-L. Lions [31, Theorem III.1] in the stationary case, that states Lipschitz (and therefore maximal) regularity of solutions to viscous HJ equations for all and , .
It is worth remarking that our results apply also to the so-called Kardar-Parisi-Zhang equations
[TABLE]
whenever satisfies (H). In other words, the sign in front of (and of ) does not matter here. Indeed, it is sufficient to observe that solves (1) with .
In the next Section 2.1 we briefly describe our methods, and comment on crucial hypotheses that appear in Theorems 1.1, 1.3 and in the Definition 2.1 of weak solutions to (1). In the rest of Section 2 we present some preliminary facts and results on the adjoint equation. Sections 3 and 5 will be devoted mainly to the proofs of Theorems 1.1 and 1.3 respectively, on Lipschitz regularity of solutions. In Section 4 we will prove the main existence and uniqueness result.
Acknowledgements. The authors are members of the Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM). This work has been partially supported by the Fondazione CaRiPaRo Project “Nonlinear Partial Differential Equations: Asymptotic Problems and Mean-Field Games”. The authors are indebted to the referees for a careful review which meant a significant improvement of the original version of the manuscript.
2 Heuristics, functional spaces, weak solutions and basic properties
2.1 Heuristic derivation of Lipschitz estimates
We begin with a heuristic description of the adjoint method that will be made rigorous in the sequel, and compare with related works [23, 24]. Let us assume that is a smooth solution of the viscous HJ equation
[TABLE]
with . Let be in the space variable. We differentiate the equation to study the regularity of , namely, for any direction with , we consider . Then, solves the linearized equation
[TABLE]
For any , , we then look at the adjoint equation with singular final datum
[TABLE]
By duality between (8) and (9) we immediately get
[TABLE]
Thanks to integration by parts in the previous formula, we realize that our representation of roughly depends on and , so, the more we know on the integrability of , the less we can assume on the integrability of the datum . The difficulty here is that depends on itself through the divergence term in (9), and has a final datum that is a Dirac measure. Note that solutions to heat equations with measure data have gradients in just for . Therefore, since we do not expect the additional divergence term to improve such regularity, we will always have to require by duality to be in with (which is optimal, see Remark 3.13).
The transport (divergence) term in (9) is handled by exploiting a crucial information on the quantity
[TABLE]
that is obtained using a sort of duality between (1) and (9), and has a very precise meaning in terms of optimality in stochastic control problems (see, e.g. [26] for further discussions). Such a quantity is actually a weighted norm of the drift that appears in the divergence term, and turns out to be enough to derive bounds for . This crucial result is stated in Proposition 2.5 and exploits a delicate combination of maximal parabolic regularity, interpolation and embeddings of parabolic spaces. We emphasize that this key step regarding regularity of the Fokker-Planck equation is carried out in a completely different way with respect to related papers [23, 24]. In these works, the techniques used to produce estimates on are expendable under the assumption that is at least , thus limiting the working range of . Here, we have results on the full superlinear range .
In the next sections we make precise all the above formal computations, for more general equations of the form (1). In the first part of the paper we aim at obtaining Lipschitz regularity of weak solutions to (1), in a sense specified below (see Definition 2.1). The main issues in this program are the following:
- •
To exploit duality between (1) and (9) in a weak framework, one has to understand the right weak setting for both equations. We realize here that a suitable weak notion guaranteeing Lipschitz regularity for is basically the usual energy one for both equations (i.e. ), on any interval , . This relies strongly on the additional assumption , which can be considered as a requirement for the adjoint equation (9) rather than for the given HJ equation (1), but one should always keep in mind the subtle interplay between equations in duality. Of course this forces the final datum to be in , and therefore introduces an additional approximation step from to in our scheme. Note that energy estimates on are allowed to deteriorate as : this is to accomodate the lack of global regularity on for , that assumes in general the initial datum in the sense only.
One may argue that, for very large, is very close to . We stress in Section 3.5 that to perform this (seemingly) small step, one cannot avoid in general this assumption on , and therefore our requirements on weak solutions are optimal to guarantee Lipschitz regularity.
- •
A weak solution is not a priori a.e. differentiable, and , so no differentiation procedure of (1) is justified. This is circumvented by considering difference quotients of in the -variable, which are handled via a method that is again based on the optimality of in stochastic optimal control problems (though here PDE methods will be involved only). In this step, convexity of plays an important role.
We stress that the study of regularity, rather than the proof of a priori estimates of smooth solutions to (1), is a key difference with respect to related works [23, 24] mentioned previously. We take this different viewpoint in the final Section 5: assuming regularity of the solution, we can improve in some directions the previous procedure. First, it is possible to enhance (10) by absorbing part of the gradient term in the left hand side of the Lipschitz estimate. Second, rather than studying the equation for , we consider the equation for , following the classical idea of S.V. Bernstein. This yields a similar “linearized” equation, with additional information on coming from strict ellipticity of the operator. This allows us to prove a priori regularity of smooth solutions to (1) that depend on weaker integrability properties of and regularity of with respect to .
We finally mention that in a work by A. Porretta [33], the role of the integrability condition in Fokker-Planck equations is explored deeply. Such a condition is indeed proven to guarantee well-posedness of the equation in terms of distributional solutions, provided that , i.e. in the sub-quadratic case, thus showing that the Aronson-Serrin condition on the drift is not strictly needed. In the work it is also established a kind of duality between Fokker-Planck and HJ equations, in a setting that is much weaker (solutions are unbounded in ) than the one used here (local boundedness in ). While the former setting allows for minimal integrability of and very general existence and uniqueness results to coupled HJ / Fokker-Planck equations, the latter is proven here to produce many additional regularity properties of solutions (in the full range ).
2.2 Functional spaces
Since we are working in the periodic setting, let us recall that is the space of all measurable and periodic functions on belonging to , with norm . For positive integers , is the space of those functions with (distributional) derivatives in up to order .
For any time interval , let . We will also use the notation . For any and , we denote by the space of functions such that for all multi-indices and such that , endowed with the norm
[TABLE]
The space is defined similarly, and is endowed with the norm
[TABLE]
We define the space as the space of functions with , equipped with the norm
[TABLE]
Denoting by , and the usual spaces of continuous, Hölder and Lebesgue functions respectively with values in a Banach space , we have the following isomorphisms: , and
[TABLE]
and the latter is known to be continuously embedded into (see, e.g., [18, Theorem XVIII.2.1]). Sometimes, we will use the compact notation and .
Finally, let be the space of Borel probability measures on , endowed with the Kantorovich-Rubinstein distance (which metricizes the weak-* convergence of measures).
2.3 Weak solutions to viscous HJ equations
We will require in the sequel to be a weak (energy) solution in the following sense.
Definition 2.1**.**
We say that
- i)
is a local weak solution to (1) if for all
[TABLE]
and for all ,
[TABLE]
(here, denotes the duality pairing between and ).
- ii)
is a global weak solution if (11)-(12)-(13) hold for all , that is, on all (and therefore, (14) is also satisfied up to ).
Remark 2.2*.*
Under the growth assumptions (H) on the Hamiltonian, one can easily verify the following implications: if satisfies (12)-(13) for some , then (11) holds for sure whenever . Or, if satisfies (12)-(13) for and some , then (11) always holds if .
2.4 Well-posedness and regularity of the adjoint equation
This section is devoted to the analysis of the following Fokker-Planck equation
[TABLE]
Note that when the vector field , then (15) becomes the adjoint equation of the linearization of (1).
Here, , and . For for all , and for some , satisfying (13), a (weak) solution is such that in the -sense, and
[TABLE]
for all and .
Throughout this section we will assume that
[TABLE]
Note that , so , and
[TABLE]
This can be easily verified using as a test function in (16) and integrating by parts.
Proposition 2.3**.**
Let (A) be in force, for all and for some , satisfying (13), and be as in (17). Then, there exists a weak solution to (15). Moreover, for all and , and is a. e. non-negative on .
Proof.
Existence and regularity of weak solutions to linear equations in divergence form with is a classical matter that can be found in e.g. [3, 28]. Though well known references do not treat directly the periodic setting (but typically the Cauchy-Dirichlet problem), the adaptation of energy methods to is straightforward, and can be checked for example following the lines of [8, 9]. For additional details we refer to [22]. ∎
The previous proposition states the well-posedness of the adjoint Fokker-Planck equation for fixed , and that remains “almost” in for a.e. . Still, regularity of may deteriorate as , since the Aronson-Serrin condition on the drift is not assumed here up to (see, e.g. [8, Theorem 4.1]). The main goal is now to derive (weaker) estimates on on the whole , that are stable for any satisfying merely ; one may have in mind that is an item of a sequence approaching a Dirac delta. These estimates will be unrelated to the Aronson-Serrin condition, and will be achieved using just some information on the integrability of the vector field with respect to the solution itself, that is a typical datum in the analysis of Hamilton-Jacobi equations.
The following proposition is a modification of [16, Proposition 2.4], and is a kind of parabolic regularity result. The method used here has been inspired by [32], where however estimates are obtained locally in time, and thus are not affected by the regularity of final datum . Similar results for the Sobolev regularity of solutions to Fokker-Planck equations with terminal trace belonging to appeared also in [33, Proposition 3.10] in the sub-quadratic case , and are compatible with ours.
Proposition 2.4**.**
Let be a (non-negative) weak solution to (15) and
[TABLE]
Then, there exists , depending on such that
[TABLE]
Note that here does not depend on .
Proof.
We assume that the coefficients and are smooth, and therefore is smooth as well on . The general case , locally in , follows by an approximation argument.
Fix . For , let be the classical solution to
[TABLE]
Since , serves as a regularizing perturbation. By standard parabolic regularity (see Lemma A.1), we have (for a positive constant not depending on )
[TABLE]
Set . Then, is a classical solution to
[TABLE]
Using as a test function for the equation satisfied by ,
[TABLE]
and using the equation in (22) satisfied by we get, after integration by parts
[TABLE]
Applying Hölder’s inequality,
[TABLE]
Since , by [28, Lemma II.3.3] (see also [15, 16]), the parabolic space is continuously embedded into , therefore (to be sure that does not explode as , one has to exploit that , and argue as in the proof of Proposition A.2). Hence, since ,
[TABLE]
By (21), letting ,
[TABLE]
Summarizing, we conclude
[TABLE]
By Poincaré-Wirtinger inequality, together with the fact that for all , we obtain
[TABLE]
yielding, together with (23)
[TABLE]
Finally, for any smooth test function (which may not vanish at the terminal time ), again by Hölder’s inequality
[TABLE]
Thus,
[TABLE]
∎
Proposition 2.5**.**
Let be the (non-negative) weak solution to (15) and
[TABLE]
Then, there exists , depending on such that
[TABLE]
where
[TABLE]
Proof.
Inequality (19), (17) and the generalized Hölder’s inequality yield
[TABLE]
for satisfying
[TABLE]
Then, by Young’s inequality, for all
[TABLE]
Since , by interpolation between and we have , and again by Young’s inequality
[TABLE]
One can verify that (25) and (27) yield
[TABLE]
Indeed, by (27) we have
[TABLE]
and one concludes immediately by using (25) on the right-hand side of the above equality. The continuous embedding of in stated in Proposition A.2 then implies
[TABLE]
Hence, the term can be absorbed by the left hand side of (29) by choosing , thus providing the assertion. ∎
3 Lipschitz regularity
This section is devoted to the proof of Lipschitz regularity of , stated in Theorem 1.1. We will assume that the assumptions of Theorem 1.1 are in force: and satisfies (A), , it is convex in the second variable, and satisfies (H) and . Moreover, for some . At a certain stage we will require also.
The result will be obtained using regularity properties of the adjoint variable , i.e. the solution to
[TABLE]
for , , with . Recall that is a weak solution to the viscous Hamilton-Jacobi equation (1). By the integrability assumptions on , the adjoint state for all is, for any , well-defined, non-negative and bounded in for all , by a straightforward application of Proposition 2.3.
In what follows, we establish bounds on on the whole that are independent on the choice of and satisfying .
Before we start, recall that the Lagrangian , , namely the Legendre transform of in the -variable, is well defined by the superlinear character of . Moreover, by convexity of ,
[TABLE]
and
[TABLE]
The following properties of are standard (see, e.g. [10]): for some ,
[TABLE]
for all .
3.1 Estimates on the adjoint variable
Let us point out first that from now on we will denote by positive constants that may depend on the data (e.g. , , , …), but do not depend on , .
We first start with a duality identity involving .
Lemma 3.1**.**
Let be a local weak solution to (1). Assume that is a weak solution to (30). Then, for all
[TABLE]
Moreover, if is a global weak solution, the previous identity holds up to .
Proof.
Using as a test function in the weak formulation of problem (1), as a test function for the corresponding adjoint equation (30) and summing both expressions, one obtains
[TABLE]
The desired equality follows after integrating by parts in time and using property (31) of . Note that since , then by (L1) and (H), so all the terms in (32) make sense.
The same argument can be used with in the case that is a global weak solution. ∎
We are now ready to prove a crucial estimate on the the integrability of with respect to , that depends in particular on the sup norm . Note that this estimate is obtained on the whole parabolic cylinder .
Proposition 3.2**.**
Let be a local weak solution to (1) and be a weak solution to (30). Then, there exist positive constants (depending on , , , , ) such that
[TABLE]
Remark 3.3*.*
Note that as a straightforward consequence of (33), one has
[TABLE]
Indeed, by (H), , which yields (34) for . For it is sufficient to use Young’s inequality and (18).
Proof.
Rearrange the representation formula (32) to get, for ,
[TABLE]
Fix some such that . Use now bounds on the Lagrangian (L1), and Hölder’s inequality to obtain
[TABLE]
Let now be such that
[TABLE]
By Proposition A.2, is continuously embedded in . Moreover, choosing guarantees , so by inequality (24) (with replaced by ),
[TABLE]
where . Plugging this inequality into (36), we obtain
[TABLE]
Finally, the right hand side can be absorbed in the left hand side whenever by Young’s inequality: this is assured by
[TABLE]
One then gets (33) by taking the limit (constants here remain bounded for ).
∎
Integrability of with respect to provides finally regularity of . From now on, we will suppose that and .
Corollary 3.4**.**
Let be a local weak solution to (1) and be a weak solution to (30). Let be such that
[TABLE]
Then, there exists a positive constant such that
[TABLE]
where depends in particular on , , , (but not on ).
Proof.
Since , (24) applies (with ), yielding
[TABLE]
with
[TABLE]
If , use Proposition 3.2 to conclude. Otherwise, if , use Young’s inequality first to control with . ∎
Remark 3.5*.*
It is worth noting that in the sub-quadratic regime , the information is strong enough to guarantee for all , that is expected for distributional solutions to heat equations with data (see e.g. [33]). We can then regard the term in (9) as perturbation of a heat equation. On the other hand, in the super-quadratic case , we are just able to prove the weaker regularity for , with , where actually as . As expected, in the super-quadratic case the Hamiltonian term in (1) may overcome the regularizing effect of Laplacian.
Finally, if one thinks as a flow of probability measures, then enjoys also some Hölder regularity in time.
Corollary 3.6**.**
Let be a local weak solution to (1) and be a weak solution to (30). Then, there exists a positive constant such that
[TABLE]
where depends in particular on , , , , , (but not on ).
Proof.
Since solves the Fokker-Planck equation (30) with drift , given the bound (33) on , the result is a straightforward application of [11, Lemma 4.1]. ∎
3.2 Further bounds for global weak solutions
If is a global weak solution, i.e. an energy solution up to initial time, it is possible to control its norm in terms of . This will be done in the next proposition.
Proposition 3.7**.**
There exists (depending on ) such that any global weak solution to (1) satisfies
[TABLE]
Proof.
First, we prove a bound from above for :
[TABLE]
for all and . Consider indeed the (strong) non-negative solution of the following backward problem
[TABLE]
with , and . Note that is a solution of a Fokker-Planck equation of the form (15) with drift . Then, since , by Proposition 2.5 there exists a positive constant (not depending on ) such that .
Use as a test function in the weak formulation of the Hamilton-Jacobi equation (1) to get
[TABLE]
Applying Hölder’s inequality to the second term of the right-hand side of the above inequality and the fact that for all , we get
[TABLE]
By the assumption , we then conclude
[TABLE]
Finally, by passing to the supremum over , , one deduces the estimate (39) by duality.
To prove the bound from below of , one can argue exactly as in the proof of Proposition 3.2, starting from the representation formula (35) with . Using the additional upper bound (39),
[TABLE]
This provides as before a control on and thus on , which depends on instead of the full sup norm . Going back to (32),
[TABLE]
Since can be bounded (from below) by Hölder’s inequality,
[TABLE]
Since can be arbitrarily chosen so that , we have the desired result. ∎
3.3 Proof of Theorem 1.1
The following theorem contains the core argument of Lipschitz regularity.
Theorem 3.8**.**
Let be a local weak solution to (1). Suppose first that (13) holds with .
Let be a smooth function satisfying for all . Then, for all , and there exists depending on , , , , , such that
[TABLE]
for all .
Without requiring in (13), but assuming in addition that on , we have the same assertion, and in particular
[TABLE]
for all .
Proof.
Step 1. Since is convex and superlinear we can write for a.e.
[TABLE]
Hence we get, for ,
[TABLE]
for all test functions and measurable such that and . Note that the previous inequality becomes an equality if in .
We fix as in (17). Set
[TABLE]
Use now (40) with and for all , where is the adjoint variable (i.e. the weak solution to (30)) to find
[TABLE]
Then, use as a test function in the weak formulation of the equation satisfied by to get
[TABLE]
We now fix small so that . We then obtain, subtracting the previous equality to (41), and integrating by parts in time
[TABLE]
For and , , define . After a change of variables in (30), it can be seen that satisfies, using as a test function,
[TABLE]
As before, plugging and in (40) yields
[TABLE]
Hence, subtracting (44) to the previous inequality,
[TABLE]
which, after the change of variables , becomes
[TABLE]
Taking the difference between (45) and (43) we obtain
[TABLE]
Step 2. We now estimate all the right hand side terms of (46). We stress that constants are not going to depend on .
Regarding the first term, assuming that holds in (13), we have by the growth assumptions (H) on that . Note that this fact will be used in the next chain of inequalities only. By Young’s and Holder’s inequality
[TABLE]
where in the last inequality we used (34) and Corollary 3.4 (with \bar{q}=(d+2)(\gamma-1)=(d+2)/(\gamma^{\prime}-1)\ ).
Next, using first the mean value theorem (that yields a function ), then property (L2) of and (33),
[TABLE]
Denote by . Then, for the term involving we use again Corollary 3.4, with , and control the norm of difference quotient via (as in, e.g. [38, Theorem 2.1.6]), to get
[TABLE]
Finally, by boundedness of stated in (38) and again Corollary 3.4
[TABLE]
Plugging all the estimates in (46) we obtain
[TABLE]
Step 3. Since (48) holds for all smooth with , we get
[TABLE]
for all , , . Thus, is Lipschitz continuous, and
[TABLE]
Since does not depend on , we have proved the theorem.
Finally, for the special case on , one may follow the very same lines, with the difference that there is no need to control the term appearing in (47) (which is identically zero). Therefore, there is no need to keep track of , and therefore the theorem is proven without assuming the constraint in (13).
∎
The following lemma shows that can be bounded by a constant depending on the data only.
Lemma 3.9**.**
Let be a local weak solution. Then, there exists a constant depending on , , , , such that
[TABLE]
Proof.
Plugging as a test function in the weak formulation of (1) we obtain, for ,
[TABLE]
Hence, using (H), and Young’s inequality we get
[TABLE]
Therefore, we conclude by passing to the limit .
∎
We are now ready to prove the main theorem on Lipschitz regularity stated in the introduction.
Proof of Theorem 1.1.
For , let be a non negative smooth function on satisfying for all , on and vanishing on . Then, Theorem 3.8 yields for all , and the existence of (depending on the data and , so itself) such that
[TABLE]
for all . If , we immediately conclude (3) using Lemma 3.9. Otherwise, by interpolation of between and we get
[TABLE]
that implies (3) after passing to the supremum with respect to , and again using Lemma 3.9 to control .
To prove the global in time bound (4) one may follow the same lines, using on instead. Being the solution global, can indeed be chosen throughout the proof of Theorem 3.8, and norms can be replaced by in view of Proposition 3.7. Note that an additional term pops up in (46): this can be easily bounded by .
Finally, if on for some satisfying (A), then on , and we obtain the same conclusion, exploiting the fact that Theorem 3.8 does not require anymore .
∎
3.4 Beyond Lipschitz regularity
Once Lipschitz regularity is established, one can deduce further properties of weak solutions. Indeed, the viscous HJ equation (1) can be treated in terms of regularity as a linear equation, being the term (locally in time) bounded in . Thus, the classical Calderón-Zygmund parabolic theory applies, and the so-called maximal regularity for follows, i.e.: .
Corollary 3.10**.**
Under the assumptions of Theorem 1.1, any local weak solution of (1) is a strong solution belonging to for all , namely it solves (1) almost everywhere in .
Proof.
For any , Theorem 1.1 yields . Therefore, since and , there exists a weak (energy) solution to the linear equation
[TABLE]
that satisfies in the -sense, and enjoys the additional strong regularity property . This can be proven using, e.g., local estimates in [28, Theorem IV.10.1]. Since weak solutions to (49) are unique, coincides a.e. with on , and we obtain the assertion. ∎
3.5 Some remarks on the exponents , ,
In the following remarks, we stress the importance of the condition with , satisfying
[TABLE]
Not only it guarantees Lipschitz regularity of , but is also related to uniqueness of solutions in the distributional sense. In the following examples it is indeed possible to observe multiplicity of solutions; among them, there is one that is a local weak, Lipschitz continuous solution, while the other(s) are not, showing therefore that Lipschitz regularity for positive times stated in Theorem 1.1 fails in general without extra integrability properties of .
We will also comment on the condition , .
Remark 3.11*.*
We consider first the super-quadratic regime . For , (50) reads
[TABLE]
Let and , . For , we consider the (time-independent) function
[TABLE]
where is a smooth function having support on and is identically one in . Note that has the role of a localizing term only, so that is a representative on of a periodic function on . If we let
[TABLE]
then solves, for some (that vanishes on )
[TABLE]
in the sense that it satisfies all the requirements in Definition 2.1, except the Aronson-Serrin condition (12)-(13). More precisely,
[TABLE]
Moreover, is clearly not Lipschitz continuous for any .
Note that and , so by Theorem 1.2 there exists a unique solution to (51) in the sense of Definition 2.1. Thus, (51) admits two distinct strong solutions, but only the one satisfying fully the Definition 2.1, in particular the crucial integrability condition on , enjoys Lipschitz regularity.
Remark 3.12*.*
In the sub-quadratic regime , for and , we can produce an energy solution to (1) such that if and only if
[TABLE]
that is not Lipschitz continuous, and not even bounded in uniformly on . It then satisfies all requirements of Definition 2.1 except the Aronson-Serrin condition (12)-(13) and the continuity up to : the initial datum is assumed in the -sense only.
The construction of such a is based on the existence, for small, of to the Cauchy problem
[TABLE]
for some , that satisfies for some positive
[TABLE]
The existence of such a is proven in [6, Section 3], see in particular Theorem 3.5, Proposition 3.11, Proposition 3.14 and Remark 3.8 (see also [29]). As in our Remark 3.11, we need a smooth localization term having support on and identically one in . Let then
[TABLE]
We have that is a classical solution to
[TABLE]
where in the -sense (since ). Moreover,
[TABLE]
Note that is identically zero on and ; otherwise, it is bounded in , since . Therefore, one should expect the existence of a weak solution to the HJ equation (52) with zero initial datum that is Lipschitz continuous on the whole (by Theorem 1.2), but such a solution cannot be , since becomes unbounded as .
Remark 3.13*.*
To have Lipschitz bounds for solutions to (1), one cannot avoid in general the condition
[TABLE]
This constraint is actually imposed by the linear (heat) part of (1). Consider indeed and , . For , let , be fundamental solution of the heat equation in , and be the function
[TABLE]
Clearly, is a classical solution to
[TABLE]
for all and for all . In turn, we have that as . Note that this example can be recast into the periodic setting by multiplying by a cut-off function , as in the previous remarks.
Therefore, with respect to integrability requirements on , Theorem 1.3 is optimal, at least when , namely when . We do not know whether (53) is enough also when .
4 Existence and uniqueness of solutions
This section is devoted to the proof of existence and uniqueness of solutions to the HJ equation (1).
Proof of Theorem 1.2.
**Existence. **We start with a sequence of classical solutions to regularized problems
[TABLE]
where are smooth functions converging to in respectively. The existence of solutions to the regularized equations can be proven using standard methods, as detailed in [22] (see also [15]).
The global bound on depending on (see Proposition 3.7) and the local in time Lipschitz estimate (3) hold, namely, for any fixed ,
[TABLE]
Hence, since is equibounded in , is equibounded in by standard maximal parabolic regularity (e.g. [28, Theorem IV.10.1]). Then, weak limits exist (up to subsequences), and are in locally in time. Moreover, since , parabolic embeddings of (see e.g. [15, 28, 22]) guarantee that and are equibounded and equicontinuous in for all . Therefore, Ascoli theorem and a further diagonalization argument imply that, again up to subsequences, converges uniformly on for all to some limit , and the same convergence holds for . Note that the desired limit equation is locally satisfied in the strong sense, namely a.e. on .
To prove that is a local weak solution, it just remains to show that it is continuous up to . This is a delicate step since the control on deteriorates as . We start with the l.s.c. inquality
[TABLE]
The following fact will be crucial: for all , there exists such that and
[TABLE]
and is bounded in uniformly in . Indeed, let be as in the previous part of the proof, and be the corresponding adjoint variable solving (15), where is any sequence converging to in the sense of measures. By duality (see Lemma 3.1) we get
[TABLE]
Moreover, is bounded in by means of Corollaries 3.4 and 3.6, and these bounds do not depend on nor on . By (L1), . Moreover, and converge uniformly in , converges in the sense of measures, converges strongly to in while enjoys the same convergence in the weak sense, eventually up to subsequences (actually it could be made strong convergence by compact embeddings of parabolic spaces). Hence we obtain (54) by passing to the limit .
Fix now , and let be any sequence such that . By adding to both sides of (54), rearranging the terms and using Hölder’s inequality, we have
[TABLE]
On one hand, as , while is equibounded. On the other hand, as ,
[TABLE]
by continuity of , and the fact that implies the convergence of to in the weak sense of measures. We then get the claimed lower semicontinuity of on .
The reverse inequality
[TABLE]
can be obtained following analogous lines: instead of testing the approximating equation for by solutions to the adjoint Fokker-Planck equation, it is sufficient to use
[TABLE]
i.e. a solution of a Fokker-Planck equation of the form (15) with drift , such that converges to in the sense of measures. By duality with and , it holds
[TABLE]
and by taking limits
[TABLE]
so it is possible to proceed as before.
Uniqueness. Consider two solutions of the HJ equation, and take their difference on . Let . By convexity of , solves
[TABLE]
for all , and . Let now be adjoint variable with respect to , namely be the weak solution to
[TABLE]
for some non-negative and smooth probability density . Then, by duality we get
[TABLE]
Since , it is uniformly continuous on , so uniformly in . Moreover, . Thus, by Hölder’s inequality and , , yielding
[TABLE]
for arbitrary . As varies, follows, and by exchanging the role of and and varying , we eventually obtain .
**Additional regularity. ** When , using global Lipschitz bounds (4) one can bring Lipschitz (and further) regularity of to the limit solution on the whole time interval .
∎
Remark 4.1*.*
Note that the uniqueness proof works in the sub-quadratic case if one requires and in only. This follows by the fact that in (55) can be proven (as in Proposition 3.2) to satisfy . When , then by [33, Theorem 3.6]. Strong convergence of in and weak-* convergence of is then enough to have along some sequence . We believe that existence and Lipschitz regularity of solutions could be addressed in this weaker framework, but this is a bit beyond the scopes of this paper. Nevertheless, these considerations are in line with the principle that in the super-quadratic case , the HJ equation “sees points” [13], and thus requires to be continuous in order to be well-posed, while for it may be enough to have informations a.e. at initial time.
5 A priori estimates: Bernstein’s and the adjoint methods
This section is devoted to the proof of Theorem 1.3, and complements regularity results of the previous section. Here, is a classical solution to (1). This will allow to perform the Bernstein’s method, namely to analyse the equation satisfied by . The adjoint of such an equation is basically (30). As before we will exploit the interplay between the equation itself and its adjoint.
We will assume that and satisfies (A), and satisfies (H), , and
[TABLE]
As before, for any fixed , , with , let be the (classical) solution to (30). Note that Proposition 3.7, Lemma 3.1 and Proposition 3.2 apply. We start with a revised version of Corollary 3.4.
Corollary 5.1**.**
Let and be (classical) solutions to (1) and (30) respectively. Let be such that
[TABLE]
Then, there exist constants and such that
[TABLE]
where depends in particular on , , , , (but not on ).
A straightforward consequence of the corollary is that
[TABLE]
Indeed, since , Proposition A.2 gives the result.
Proof.
Since , (24) applies (with ), yielding by (H)
[TABLE]
with . Note that can be chosen small so that . One then uses the estimate (34) on (and Proposition 3.7) to conclude. ∎
We are now ready to prove our main a priori Lipschitz regularity result.
Proof of Theorem 1.3.
Step 1. Set on . Straightforward computations yield
[TABLE]
which give
[TABLE]
Then, differentiating the HJ equation (1) with respect to , multiplying the resulting equation by , and summing for , one finds
[TABLE]
Therefore, by plugging (57) into the previous equality we obtain the following equation satisfied by
[TABLE]
Using the uniform ellipticity condition (A) we estimate the third term on the left-hand side by
[TABLE]
Multiply (58) by the adjoint variable and integrate by parts in space-time to get
[TABLE]
Step 2. We proceed by estimating the four terms on the right hand side of (59). First,
[TABLE]
Second, thanks to (H), Proposition 3.2 and Young’s inequality,
[TABLE]
We then consider . Integrating by parts,
[TABLE]
The term can be controlled by means of Hölder’s and Young’s inequalities, and the control on stated in Corollary 5.1:
[TABLE]
We apply to also Hölder’s and Young’s inequalities to get, for a to be chosen,
[TABLE]
Let us focus on the first term of the right-hand side of the above inequality: it can be bounded by (56) and whenever there exists such that
[TABLE]
Such a indeed exists, since . Therefore,
[TABLE]
For the last term , Cauchy-Schwartz and Young’s inequalities yield
[TABLE]
We distinguish two cases: if , we have by (34) (with ) that . Otherwise, if ,
[TABLE]
In both cases we end up with
[TABLE]
Step 3. Plugging (60), (61), (62), (63) and (64) into (59) we get
[TABLE]
Since this inequality holds for all smooth with , we obtain
[TABLE]
and we conclude by passing to the supremum with respect to . ∎
Appendix A Some auxiliary results
Lemma A.1**.**
Let , , and suppose that satisfies (A). Then, there exists a unique solution in to
[TABLE]
Moreover, there exists a constant (depending on , , and the modulus of continuity of on ) such that
[TABLE]
Proof.
This is a classical maximal regularity statement for uniformly elliptic equations with continuous coefficients, that can be deduced from results contained in [28]; see [14] for additional details. One can also rely on abstract results on maximal regularity for parabolic equations in [36]. ∎
The following continuous embedding result of into is rather known and can be found for example in [16]. However, we need its stability as : this requires an additional control on the trace at some time (e.g. ). We provide a proof here for the reader’s convenience.
Proposition A.2**.**
If , then is continuously embedded into for
[TABLE]
Moreover, if and , we have
[TABLE]
where the constant depends on , but remains bounded for bounded values of .
Proof.
Let and be the solution to
[TABLE]
By Lemma A.1, satisfies
[TABLE]
Note that here may depend on , but it is the same for all (if , it is sufficient to extend trivially on and use (65) on ). Note that . Therefore, by the embedding results in [28, Lemma II.3.3],
[TABLE]
Note that a straightforward application of [28, Lemma II.3.3] yields bounded constants in (68) as , plus an additional term on the right-hand sides of the form ; this term can be removed using the fact that , that guarantees . Note also that here we can identify norms on with norms on .
Therefore, integrating by parts in time and using (67) and (68),
[TABLE]
yielding the desired result.
∎
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] H. Amann and M. G. Crandall. On some existence theorems for semi-linear elliptic equations. Indiana Univ. Math. J. , 27(5):779–790, 1978.
- 2[2] S. Armstrong and H. V. Tran. Viscosity solutions of general viscous Hamilton-Jacobi equations. Math. Ann. , 361(3-4):647–687, 2015.
- 3[3] D. G. Aronson and J. Serrin. Local behavior of solutions of quasilinear parabolic equations. Arch. Rational Mech. Anal. , 25:81–122, 1967.
- 4[4] G. Barles. Interior gradient bounds for the mean curvature equation by viscosity solutions methods. Differential Integral Equations , 4(2):263–275, 1991.
- 5[5] G. Barles and P. E. Souganidis. On the large time behavior of solutions of Hamilton-Jacobi equations. SIAM J. Math. Anal. , 31(4):925–939, 2000.
- 6[6] M. Ben-Artzi, P. Souplet, and F. B. Weissler. The local theory for viscous Hamilton-Jacobi equations in Lebesgue spaces. J. Math. Pures Appl. (9) , 81(4):343–378, 2002.
- 7[7] S. Bernstein. Sur la généralisation du problème de Dirichlet. Math. Ann. , 69(1):82–136, 1910.
- 8[8] S. Bianchini, M. Colombo, G. Crippa, and L. V. Spinolo. Optimality of integrability estimates for advection-diffusion equations. No DEA Nonlinear Differential Equations Appl. , 24(4):Art. 33, 19, 2017.
