Interior Sobolev regularity for fully nonlinear parabolic equations
Ricardo Castillo, Edgard A. Pimentel

TL;DR
This paper establishes sharp Sobolev regularity estimates for solutions of fully nonlinear parabolic equations under minimal assumptions, using recession functions and limiting configurations to derive new regularity results.
Contribution
It introduces a novel approach leveraging recession functions to obtain interior Sobolev regularity for fully nonlinear parabolic equations with minimal conditions.
Findings
Solutions are in W^{2,1;p}_{loc}
Develops a parabolic Escauriaza's exponent
Provides universal modulus of continuity and BMO estimates
Abstract
In the present paper, we establish sharp Sobolev estimates for solutions of fully nonlinear parabolic equations, under minimal, asymptotic, assumptions on the governing operator. In particular, we prove that solutions are in . Our argument unfolds by importing improved regularity from a limiting configuration. In this concrete case, we recur to the recession function associated with . This machinery allows us to impose conditions solely on the original operator at the infinity of . From a heuristic viewpoint, integral regularity would be set by the behavior of at the ends of that space. Moreover, we explore a number of consequences of our findings, and develop some related results; these include a parabolic version of Escauriaza's exponent, a universal modulus of continuity for the solutions and estimates in spaces.
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Interior Sobolev regularity for fully nonlinear parabolic equations
Ricardo Castillo and Edgard A. Pimentel
Abstract
In the present paper, we establish sharp Sobolev estimates for solutions of fully nonlinear parabolic equations, under minimal, asymptotic, assumptions on the governing operator. In particular, we prove that solutions are in . Our argument unfolds by importing improved regularity from a limiting configuration. In this concrete case, we recur to the recession function associated with . This machinery allows us to impose conditions solely on the original operator at the infinity of . From a heuristic viewpoint, integral regularity would be set by the behavior of at the ends of that space. Moreover, we explore a number of consequences of our findings, and develop some related results; these include a parabolic version of Escauriaza’s exponent, a universal modulus of continuity for the solutions and estimates in spaces.
Keywords: Regularity in Sobolev spaces; nonlinear parabolic equations; asymptotic approximation methods; recession function.
MSC(2010): 35K55; 35B45.
1 Introduction
In this paper, we prove regularity in Sobolev spaces for -viscosity solutions of fully nonlinear parabolic equations of the form
[TABLE]
where is -elliptic and is a continuous function.
The regularity theory for nonlinear parabolic equations is a fundamental field of research in Mathematical Analysis; its applications and spillovers can be found across a wide range of disciplines, including Differential Geometry, Game Theory, Mathematical Physics, Probability, and many others.
The first main developments in the field follow from [19]. In that paper, the authors address linear parabolic equations with measurable coefficients. They obtain a Harnack inequality and produce regularity of the solutions in Hölder spaces. If solves
[TABLE]
a linearization argument implies that both and its derivative in the direction , , solve an equation under the scope of [19]. Therefore, , where is unknown.
In [16], the author assumes the operator is convex and prove that solutions to (2) are of class . This result implies that under convexity assumptions on the problem, a theory of classical solutions is available.
As regards pointwise estimates in terms of measure-theoretic quantities, we refer the reader to [15] and [25]. In those papers, the authors prove Aleksandrov-Bakelmann-Pucci estimates for linear second order equations of parabolic type.
In [1], the author establishes several a priori estimates for solutions of fully nonlinear elliptic equations, including regularity in Sobolev and Hölder spaces. To some extent, besides becoming a cornerstone of the profession, this trailblazing work also sets the program for the parabolic realm. In this context, a series of papers appearing in the early 90’s - see [26], [27] and [28] - extends the perspective introduced in [1] to the parabolic setting. In particular, the author produces Harnack inequalities, investigates a priori Hölder regularity and examines estimates in Sobolev spaces.
As regards a priori regularity in Sobolev spaces, the author assumes the source term to be in and requires the oscillation with respect to the operator with frozen coefficients to be small in the sense. In addition, the author assumes -estimates are available for the operator with frozen coefficients. Under those assumptions, a priori estimates for and in are established - see [26].
In recent years, various further developments advanced the understanding of the regularity theory for nonlinear parabolic equations. In [8], the authors develop a theory of viscosity solutions for (1) and prove a number of results. Some of the developments in [8] are used in the present paper. See also [7].
In [4], the authors produce a counterexample type of result. Indeed, they consider a toy-model for (1) and show that solutions may fail to be in . Sharp regularity for caloric equations is studied in [24], where the authors obtain a closed-form expression for the optimal Hölder exponent depending on the dimension and .
The solvability of parabolic fully nonlinear equations is the subject of [10]. In that paper, the authors consider a more general formulation, including examples of the Hamilton-Jacobi-Bellman equation. They prove solvability in , by assuming the leading operator to be convex and positive homogeneous of degree one, with respect to the Hessian. Additional natural growth assumptions on the operators governing the problem are also required. Solvability in Lebesgue spaces, in the presence of VMO coefficients, is the subject of [18] and [17].
In [9], the authors examine optimal regularity for nonlinear parabolic equations in the presence of source terms in anisotropic Lebesgue spaces . Moreover, they study distinct regularity regimes - depending on , , and - obtaining exact expressions for the associated Hölder exponents. Under slightly stronger assumptions on the governing operator, the authors also prove that solutions are in . A survey of the parabolic theory, detailing foundational results, may be found in [14].
In the present paper, we prove that solutions to (1) are in , under fairly general, asymptotic, assumptions on the governing operator . We argue by means of an approximation method. In brief, we design a path relating our problem of interest to an auxiliary one.
In our concrete case, we use to the notion of recession function, formally defined as . From a heuristic viewpoint, this operator accounts for the behavior of at the ends of , encoding an asymptotic analysis of the problem. The idea of recession function - borrowed from the realm of convex analysis - appears in the context of regularity theory in [22] and [21]. We detail the notion of recession function in Section 3.
We also make use of an oscillation measure; for fixed define
[TABLE]
This quantity was introduced in [1]. Our main theorem reads as follows:
Theorem 1.1**.**
Let be a normalized viscosity solution to (1) and assume , for . Suppose that has estimates. Suppose further that satisfies
[TABLE]
for every , for some and . Then, and are in and satisfy
[TABLE]
for some .
The proof of Theorem 1.1 proceeds in two main steps. First, we investigate equations governed by operators without explicit dependence on the function and on the gradient. This step amounts to establish the following proposition:
Proposition 1.1**.**
Let be a normalized viscosity solution to
[TABLE]
Assume , for . Further, assume that has estimates and satisfies
[TABLE]
for every , fixed. Then, and are in and satisfy
[TABLE]
for some .
The proof of Proposition 1.1 combines two sets of techniques. First, we use standard measure-theoretical results; those allow us to examine the quantities and in terms of the measure of certain subsets of . Then, asymptotic approximation methods yield appropriate, improved, decay rates for the measure of those sets.
The second step of the proof of Theorem 1.1 involves properties of -viscosity solutions of parabolic nonlinear equations. Together with standard regularity results, those properties build upon Proposition 1.1 to complete the proof of Theorem 1.1.
Our findings produce a number of consequences to the general theory of nonlinear parabolic PDEs. For example, we obtain a priori regularity for solutions to (3) in BMO spaces. To the best of our knowledge, a priori regularity in BMO spaces for parabolic fully nonlinear equations had not yet been considered in the literature. Such a class of results is relevant for it bridges the gap between the and spaces. We compare this gain of regularity with the improvement represented by estimates in vis-a-vis estimates in , for every . Our developments in this direction relate, to some extent, to previous results obtained in the elliptic setting; we mention, for example, [3].
When studying Sobolev estimates in the elliptic setting, it is standard to assume the existence of , universal, so that -integrability of the source term would suffice for the development of the theory. This number is known in the literature as Escauriaza’s exponent. A natural question refers to the parabolic analog of such a constant. Although such a result is expected to hold true - see [11, Remark I] - no proof had yet been produced. We recall a Harnack inequality and establish the existence of the parabolic Escauriaza’s exponent.
As a spillover of this Harnack inequality, we obtain a universal modulus of continuity for the solutions of (3); see [23], c.f. [9]. In particular, we produce a sharp universal exponent, given by
[TABLE]
The remainder of this paper is organized as follows: Section 2 presents some notation, details the main assumptions under which we work and recall preliminary results of the theory. An asymptotic approximation method is the subject of Section 3, whereas the proof of Theorem 1.1 is presented in Section 4. In Section 5, we obtain an improved Harnack inequality and examine the parabolic analog of Escauriaza’s exponent; in Section 6, an approximation result builds upon this improved Harnack inequality to produce a universal modulus of continuity for the solutions. Closing the paper, Section 7 contains a study of regularity in spaces.
Acknowledgments
For valuable comments and suggestions on the material in this paper, the authors are grateful to B. Sirakov, A. Świ
‘
e ch, E. Teixeira and an anonymous referee.
R. Castillo is funded by CAPES-Brazil; E. Pimentel was partially supported by FAPESP (Grant # 2015/13011-6) and PUC-Rio baseline funds.
2 Notation, key assumptions and preliminary results
In this section, we present some notation and detail the main assumptions under which we work. We also collect some preliminary results, for future reference.
2.1 Elementary notation
We define the parabolic domain as follows:
[TABLE]
The parabolic boundary of is denoted by and given by
[TABLE]
Our main result respects norms of in the Sobolev space ; we set
[TABLE]
we say if there is a constant so that
[TABLE]
for .
Because our developments touch the Hölder regularity theory, we continue by detailing the parabolic norms in those function spaces. Let and be points in ; we define the parabolic distance between and as
[TABLE]
We say that if there exists a constant so that
[TABLE]
for every and in .
The parabolic cube of side , denoted by , is given by
[TABLE]
Given , we obtain dyadic cubes of the th generation by properly bisecting the sides of the predecessor ; those are denoted by .
Because we work under the framework of viscosity solutions, we briefly recall the definition of the class . The Pucci’s extremal operators are given by
[TABLE]
and
[TABLE]
where are the eigenvalues of the matrix .
Definition 2.1** (The class of viscosity solutions).**
Let be a continuous function in a parabolic domain and consider . We denote by the space of continuous functions so that
[TABLE]
in the viscosity sense. Similarly, is the space of continuous functions so that
[TABLE]
As in [1], our argument relies on the refinement of a decay rate for the measure of certain sets. Let ; the paraboloid of opening is denoted by and defined as
[TABLE]
where is an affine function. Given an open subset and , we define
[TABLE]
[TABLE]
and
[TABLE]
The set comprises the points that can be touched by paraboloids of opening from above and from below. In a similar way, we have
[TABLE]
and
[TABLE]
A priori Sobolev regularity for solutions of (1) is studied using refined decay rates for the measure of the sets , in terms of . I.e., Hessian’s integrability, as well as integrability of , depend on the smallness of the sets of points that cannot be touched by a paraboloid of arbitrarily large opening. See [1] and [2].
2.2 Main assumptions
We continue by detailing the hypotheses under which we work in the forthcoming sections.
A 1** (Ellipticity).**
There are constants and and a modulus of continuity such that
[TABLE]
for every , and .
The former assumption concerns the uniform ellipticity of the operator. Among other things, A1 ensures that is with respect to the Hessian, where .
A 2** (Regularity of the source).**
We assume , for .
The requirement can be weakened; in fact, as in the elliptic case, one can prove that there exists , such that our results hold under the condition .
The pivotal notion behind the asymptotic approximation method is to connect a problem of interest to another one, for which a well-established theory is available. In our concrete case, the limiting profile is assumed to have -estimates.
A 3** (-estimates; case I).**
We assume that solutions to
[TABLE]
are such that and, in addition,
[TABLE]
for some constant .
To include operators depending on and under the scope of our results, we need to impose an additional smallness condition. This is the content of the next assumption.
A 4** (Oscillation at the recession level).**
Consider the oscillation measure
[TABLE]
We assume
[TABLE]
for some and some constant .
Assumption A4 builds upon former results (see [27, Theorem 1.1]) to yield appropriate regularity for the approximating function. Finally, to examine regularity in BMO spaces, we use a slightly stronger assumption on the limiting profile , namely:
A 5** (-estimates; case II).**
There exists a constant such that in . Also, we assume that solutions to
[TABLE]
are such that , with
[TABLE]
for some .
We use some standard results on fully nonlinear parabolic equations. For the sake of completeness, we recall those in the next section.
2.3 Preliminary results
We start with a lemma on the stability of viscosity solutions.
Lemma 2.1** (Stability Lemma).**
Let satisfy A1 and satisfy A2, for . Suppose uniformly in compact sets and in the -sense. If there is so that
[TABLE]
and
[TABLE]
uniformly in compact sets of , we have
[TABLE]
For the proof of Lemma 2.1, we refer the reader to [8, Theorem 6.1]. Next, we recall a standard result on the existence of a suitable barrier function.
Lemma 2.2** (Barrier function).**
Let . Then, there exists a function so that in , on and
[TABLE]
in . In addition,
[TABLE]
where .
For the proof of Lemma 2.2, we refer the reader to [26, Lemma 3.22]. The existence of such a barrier function is critical in controlling the measure of certain sets. The first step in this direction is the study of the contact set for an auxiliary function of the form . We proceed by rigorously defining the contact set of a continuous function.
Definition 2.2** (Contact set).**
Let and suppose . The convex envelope of is given by
[TABLE]
The contact set of is
[TABLE]
Given we are interested in a universal lower bound for the measure of
[TABLE]
this is the content of the next lemma:
Lemma 2.3** (Measure of the contact set).**
Let satisfy and set . Then, there exists such that
[TABLE]
for every .
We refer the reader to [26, Lemma 4.1] for a proof of this result. In the sequel, we put forward an asymptotic approximation method and present the machinery through which it operates in this paper.
3 An approximation method
In this section, we detail an approximation method. At the core of our techniques, is the notion of recession function. See, for example, [22] and [21]. This set of methods is central in the proof of Proposition 1.1. Therefore, we consider here operators of the form .
Let be a -elliptic operator and denote by the following object:
[TABLE]
for .
The recession function of is denoted by and given by
[TABLE]
The operator accounts for the behavior of at the ends of . Its definition also resembles the notion of a derivative at the infinity of the space. Next, we detail a few facts related to the recession function.
Because the definition of recession function involves the operation of taking limits, it is key that we ensure the convergence - in some appropriate sense - of to . Since is elliptic, for every , we have . Hence, compactness implies that converges, through a subsequence if necessary to a recession profile . The next proposition was established in [22] and plays an instrumental role in our analysis.
Proposition 3.1** (Local uniform convergence).**
Let be a elliptic operator. Then, for every there exists so that
[TABLE]
for every , provided .
Proposition 3.1 assures converges to uniformly in compacts of . We notice this is precisely one of the requirements of the Stability Lemma (see Lemma 2.1). We observe that instead of imposing outside of a large ball of in A5, we could have assumed globally uniformly. We believe A5 simplifies the presentation.
Here, solutions to the equation governed by have a priori estimates; this is the content of A3. For small values of , the path designed by would incorporate this property, at least partially - say, estimates. Finally, we expect to transport this regularity back to the case , i.e., to the solutions of the equation driven by .
The appropriate way to formalize this intuition is by an approximation lemma.
Proposition 3.2** (Approximation Lemma).**
Let be a normalized viscosity solution of
[TABLE]
and assume that A1-A4 are satisfied. Given , there exists , such that, if
[TABLE]
there exists , solution to
[TABLE]
satisfying
[TABLE]
Proof.
We prove this proposition by way of contradiction; suppose its statement is false. Then, there exists a number so that, for every solution of (6) we have
[TABLE]
irrespective of how small is taken.
Let and consider the sequence of operators ; moreover, let be such that
[TABLE]
as . Let , solve
[TABLE]
and notice that is uniformly bounded in , for some , independent of . Therefore,
[TABLE]
through a subsequence, if necessary. The Stability Lemma (Lemma 2.1) implies that
[TABLE]
We notice that A4 implies ; see [27, Theorem 1.1]. By choosing , we obtain a contradiction and complete the proof. ∎
Proposition 3.2 is key in our arguments; it builds upon a measure-theoretical analysis to yield information about the integrability of solutions to (1). This analysis is the subject of the forthcoming section.
4 A priori Sobolev regularity
In the present section, we detail the proof of Theorem 1.1. As previously discussed, our argument evolves along two main steps. First, we consider operators depending only on the Hessian, the space variable and time .
4.1 Proof of the Proposition 1.1
Next, we derive lower, universal, integrability for and , from the ellipticity of and the integrability of the source term. Second, the Approximation Lemma (Lemma 3.2) connects our problem of interest with the homogeneous PDE governed by the recession operator. When combined, these steps produce improved Sobolev regularity for solutions of (1), concluding the proof.
Throughout this section, stands for a parabolic domain containing . We start by presenting a first decay rate for the measure of the sets .
Proposition 4.1** (A priori regularity in ).**
Assume that A1-A2 hold and let be a normalized viscosity solution to (3). Then, there exist a universal constant and , unknown, such that
[TABLE]
Proposition 4.1 is the parabolic analog of the celebrated estimates, well-known in the elliptic case (c.f. [20]). This proposition appeared for the first time in [26].
We observe that such a priori estimate is independent of further assumptions on the operator , and follows merely from uniform ellipticity and the integrability of the source term. To obtain a finer control on the integrability of solutions, we use the approximation method. By imposing a condition on the behavior of at the ends of , we can refine the decay rate in Proposition 4.1. Next, we produce a first lower bound for the measure of , for some universal.
Proposition 4.2**.**
Assume A1-A2 are in force. Let in with . Then, there exist universal constants , and , such that implies
[TABLE]
Proof.
The result follows along the same lines as in the proof of Lemma 7.5 in [2] or in the remark after Lemma 3.22 in [26], provided the necessary modifications are taken into account. ∎
From the heuristic viewpoint, A3 implies a change of regime for (1); whenever or grow too much, the PDE is governed by the recession operator , for which estimates are available. Intuitively, it sets an upper bound for those quantities and the original operator resumes driving the problem.
When gathered with Proposition 4.1, this interplay produces faster decay rates for the measure of , ultimately establishing Theorem 1.1. This description accounts for the asymptotic operation of the recession strategy. The next proposition translates such operation into a primary level of improved decay rates.
Proposition 4.3**.**
Assume A1-A4 are in force. Let be a normalized viscosity solution to
[TABLE]
so that
[TABLE]
in . Assume further that
[TABLE]
Then, there exists such that
[TABLE]
for .
Proof.
Consider the function , -close to , given by Proposition 3.2; extend continuously to in such a way that
[TABLE]
and
[TABLE]
In addition, the maximum principle implies
[TABLE]
hence, and
[TABLE]
Therefore, there exists for which .
Next, set
[TABLE]
Because satisfies the assumptions of Proposition 4.1, it follows that
[TABLE]
and
[TABLE]
This, in turn, yields
[TABLE]
By choosing appropriately, and setting , the proof is concluded. ∎
An application of Proposition 4.3 produces valuable information on the measure of , provided is not empty. The next proposition yields the first step of an iteration scheme appearing later in this section.
Proposition 4.4**.**
Assume A1-A4 are in force and suppose is a normalized viscosity solution of
[TABLE]
Assume further that
[TABLE]
Finally, suppose . Then,
[TABLE]
where and are taken as in Proposition 4.3.
Proof.
We argue by means of an auxiliary function. First, let ; notice that
[TABLE]
where is an affine function. We define
[TABLE]
where is chosen to ensure , and
[TABLE]
Moreover, solves
[TABLE]
Therefore, an application of Proposition 4.3 yields
[TABLE]
i.e.,
[TABLE]
and the proposition is established. ∎
As mentioned earlier, Proposition 4.4 fits into our argument as the first step of an iteration scheme that substantially improves Proposition 4.1. In this context, the former is matched by a measure-theoretical result in the spirit of Calderón-Zygmund decomposition, known as stacked covering lemma.
Lemma 4.1** (Stacked covering lemma).**
Fix and consider . Assume that:
there exists so that
[TABLE] 2. 2.
for any dyadic cube so that
[TABLE]
we have
[TABLE]
Then,
[TABLE]
A proof of Lemma 4.1 can be found in [14], where the authors recur to a Lebesgue’s Differentiation Theorem. As mentioned in [14], a similar rationale underlies some of the arguments presented in [26].
In what follows, Proposition 4.4 builds upon the stacked covering lemma to produce finer decay rates for the sets ; this is the content of our next result.
Proposition 4.5**.**
Let be a normalized viscosity solution to (3) in and consider . Assume A1-A4 are in force. Extend by zero outside and define
[TABLE]
and
[TABLE]
Then,
[TABLE]
where depends on the dimension and is a universal constant.
Proof.
The proof is an application of Lemma 4.1. We start by noticing that
[TABLE]
Hence, Proposition 4.3 yields
[TABLE]
This verifies the first condition in that lemma. Now, let be any dyadic cube of so that
[TABLE]
It remains to prove that, for some , we have . We verify this fact using a contradiction argument. Assume
[TABLE]
therefore, there exists so that
[TABLE]
and
[TABLE]
Define the auxiliary function as follows:
[TABLE]
notice is a normalized viscosity solution to
[TABLE]
where
[TABLE]
and
[TABLE]
Because has interior estimates, so does . Also,
[TABLE]
by choosing sufficiently small in (8), we conclude
[TABLE]
In addition, (7) implies
[TABLE]
Therefore, Proposition 4.4 yields
[TABLE]
which leads to a contradiction and concludes the proof. ∎
Proposition 4.5 states that
[TABLE]
because , the former inequality implies the summability of key quantities, ultimately yielding the proof of Proposition 1.1.
Proof of Proposition 1.1.
Set
[TABLE]
and
[TABLE]
The proof is complete if we manage to verify that there is a constant so that
[TABLE]
Proposition 4.5 yields
[TABLE]
On the other hand, A2 implies ; hence, and we have
[TABLE]
The last inequality implies
[TABLE]
By combining (9) and (10), we finally have
[TABLE]
∎
4.2 Proof of Theorem 1.1
Next, we present the proof of Theorem 1.1. In general lines, results available for -viscosity solutions build upon Proposition 1.1 to produce the conclusion.
Proof of Theorem 1.1.
We split the argument in two main steps.
Step 1 We start with a reduction procedure. That is, we prove that it suffices to verify the result for -viscosity solutions of the model problem (3). Because of [8, Proposition 3.2], we know that is parabolic twice differentiable a.e.; moreover, its pointwise derivatives satisfy (1) a.e. in . In the sequel, define as
[TABLE]
Assumption A1 implies
[TABLE]
Therefore, former results on the regularity of continuous viscosity solutions imply – see [8, Theorem 7.3] or [26]. Set
[TABLE]
By using [8, Proposition 4.1], we conclude is an -viscosity solution to
[TABLE]
Assume now that Theorem 1.1 is available for the -viscosity solutions of problems without dependence on the gradient. Then, we would have and
[TABLE]
establishing the result.
Step 2 In the sequel, we consider the problem
[TABLE]
although is continuous with respect to and , no information about the continuity of is available. Therefore, we consider two sequences of functions: and . Assume is such that
[TABLE]
We relate those sequences through the following family of PDEs:
[TABLE]
It is clear that satisfies A3 and A4. Then, Proposition 1.1 implies and
[TABLE]
Because of [8, Proposition 2.6], a straightforward argument yields in . Notice also that weakly converges to in . Hence,
[TABLE]
moreover, stability results guarantee that is an -viscosity solution to (11). The maximum principle [8, Lemma 6.2], together with compatibility on the parabolic boundary, yields and concludes the proof. ∎
Remark 4.1**.**
Step 2 is required because we have no information on the continuity of the functions . For large values of , however, [8, Theorem 7.3] ensures that is Hölder continuous. In this case, Step 1 would suffice to establish the result.
Remark 4.2**.**
In [29], the author investigates boundary regularity in Sobolev spaces for the elliptic problem. We believe the reasoning in Step 2 could be applied to prove boundary regularity in the parabolic case as well. It would remain to produce localized versions (at the boundary) of the results in Section 4.1.
5 Escauriaza’s parabolic exponent
A natural question to be considered in this setting regards the celebrated Escauriaza’s exponent. In [11], the author remarks that it would be possible to obtain a constant so that the conclusions of Theorem 1.1 would hold true under the condition .
Although no proof is given in [11], such a result is expected, provided certain building blocks of the theory are available. Those building blocks regard estimates for Green’s functions associated with certain linear operators, along with well-posedness to particular parabolic problems. See, for example, [6], [12] and [5]. Of particular interest, is the following estimate:
Proposition 5.1**.**
Let be a linear elliptic operator and denote by its Green’s function in . There exist universal constants and such that, if and
[TABLE]
the following estimate holds:
[TABLE]
Moreover, there exists , universal, so that for every , we have
[TABLE]
The former proposition is the parabolic variation of a result firstly obtained for the elliptic setting in [13]. In the remainder of this section, the constant appearing in Proposition 5.1 will be denoted . When combined with additional results, Proposition 5.1 yields the following Harnack inequality:
Proposition 5.2** (Harnack inequality).**
Assume A1 holds and let be a nonnegative solution of (3) in , for . Then, there exists a universal constant so that
[TABLE]
Proof.
Without loss of generality we can assume ; a linearization argument implies that solves
[TABLE]
where is a -elliptic operator, with measurable coefficients.
From [5], we know that there exists a viscosity solution to
[TABLE]
Also, there exists a Green’s function for the operator ; more precisely, for all there exists a function such that
[TABLE]
We have that is viscosity solution of the problem
[TABLE]
Hence, the maximum principle ensures that that is nonnegative. By applying the Harnack’s inequality for viscosity solutions (see [26]) to the function , it follows that
[TABLE]
The result is consequential to (13), combined with Proposition 5.1. ∎
A standard consequence of the Harnack inequality is the regularity of solutions in Hölder spaces, provided , as in the next lemma:
Lemma 5.1**.**
Assume that A1 is in force and let be a viscosity solution to (3). Then, there exist and constant , universal, so that
[TABLE]
Lemma 5.1 builds upon the Approximation Lemma and other elements presented in Section 4 to yield Theorem 1.1 under a lessened version of A2:
A 2’****.
We assume .
The number in A2’ will be called parabolic Escauriaza’s exponent. Besides establishing the existence of Escauriaza’s exponent in the parabolic setting, Proposition 5.2 also yields universal information about the Hölder exponent appearing in Lemma 5.1. We investigate this consequence of the Harnack inequality in the next section.
6 A universal modulus of continuity
The statement of Lemma 5.1 acknowledges that solutions to (1) are a priori in , for , unknown. Meanwhile, it falls short in providing a precise expression for this important quantity.
In the sequel, methods from the realm of Geometric Tangential Analysis build upon the Harnack inequality to provide an explicit characterization of the optimal , depending the dimension and the Escauriaza’s parabolic exponent, i.e.:
[TABLE]
We continue by presenting a general approximation lemma.
Proposition 6.1**.**
Let be a normalized viscosity solution to (3). Given , there exists such that, if
[TABLE]
there exist and a -operator so that
[TABLE]
and
[TABLE]
Proof.
We prove the proposition using a contradiction argument. We assume its statement is false. Then, there is a sequence of -operators and sequences of functions and such that
[TABLE]
satisfying the smallness regime
[TABLE]
with
[TABLE]
for any satisfying (15) and some .
Because of Lemma 5.1, we know that , through a subsequence if necessary, uniformly in compact sets of . Similarly, uniform ellipticity yields , locally uniformly in . These, together with the smallness regime for in , lead to
[TABLE]
By setting , we obtain a contradiction and conclude the proof. ∎
As before, we aim at producing an iteration argument. Its first step is the content of the next lemma.
Lemma 6.1**.**
Let be a normalized viscosity solution to (3). Given , there exist and so that, in case
[TABLE]
there is a constant for which
[TABLE]
Proof.
Consider , to be determined later. Let be the solution to the homogeneous problem governed by , -close to . From the standard parabolic theory (see, for example, [26]), we have
[TABLE]
for some constant , universal. Therefore,
[TABLE]
Now, define and as
[TABLE]
in addition, set . Hence,
[TABLE]
which concludes the proof. ∎
At this point, we are in the position to produce an optimal, universal, modulus of continuity for solutions to (1).
Theorem 6.1** (Universal modulus of continuity).**
If is a normalized viscosity solution to (3), then, and the following a priori estimate is satisfied:
[TABLE]
where the universal exponent is given by
[TABLE]
Proof.
Without loss of generality, we consider at the origin and assume the source term satisfies the smallness regime in (14). Set the exponent in Lemma 6.1 as follows
[TABLE]
and let be the radius associated with such a choice of by Lemma 6.1. If we show the existence of a convergent sequence , so that
[TABLE]
the proof is concluded. We verify (17) by induction in ; the step is precisely the content of Lemma 6.1. Assume (17) is verified for ; we show it holds for .
Define the auxiliary function as follows:
[TABLE]
In addition, set
[TABLE]
and
[TABLE]
Notice that is a normalized viscosity solution to
[TABLE]
where satisfies the smallness condition in (14), since
[TABLE]
Therefore, Lemma 6.1 yields the existence of a constant satisfying
[TABLE]
If we define by setting and
[TABLE]
the step in the induction process is verified.
Next, we show the sequence , as previously defined, is a Cauchy sequence of real numbers; to that end, it suffices to notice that
[TABLE]
for some constant . Therefore, , as . From (17), we have .
Because of (18), we obtain
[TABLE]
To conclude the proof, set so that ; therefore,
[TABLE]
which establishes the theorem. ∎
We close this section with a few remarks.
Remark 6.1**.**
We observe that Theorem 6.1 depends only on the ellipticity of as well on the integrability of the source term.
Remark 6.2**.**
In [9], the authors consider source terms in anisotropic Lebesgue spaces of the form and obtain expressions for the optimal in several regularity regimes; this much more general framework touches our result. In particular, when
[TABLE]
the authors recover Theorem 6.1.
7 A priori regularity in -BMO spaces
In this section, we develop the regularity theory for solutions of (1) in spaces of bounded mean oscillation. We denote the average of a function over by ; that is,
[TABLE]
We recall that a function is said to belong to -BMO if
[TABLE]
for a constant independent of .
We work under the assumption , for and A2’. We prove the following theorem:
Theorem 7.1**.**
Let be a normalized viscosity solution to (3). Assume that A1, A4 and A5 are in force. Then, and are in and the following a priori estimate is satisfied:
[TABLE]
for .
To the best of our knowledge, a priori estimates in spaces have not yet been examined in the literature, for the parabolic (fully nonlinear) setting. Besides the interest it has on its own merits, Theorem 7.1 also bridges the gap between the spaces and in a precise sense. Although regularity in does not imply boundedness either for or for , it yields improved integrability vis-a-vis mere -integrability, for every . Before proceeding to the proof of Theorem 7.1, we collect a few auxiliary results.
Lemma 7.1**.**
Let and be -elliptic operators and assume
[TABLE]
for every , where is to be determined later. Moreover, suppose that has -a priori estimates. Then, there exist universal constants and and a second order polynomial , with so that
[TABLE]
where is a normalized viscosity solutions to
[TABLE]
Proof.
The proof proceeds by way of contradiction. Assume the statement is false; then, there would be sequences of -elliptic operators and , as well as sequences of functions and satisfying
[TABLE]
for every , where has - a priori estimates, for every . Also,
[TABLE]
and
[TABLE]
and, every polynomial would verify
[TABLE]
regardless of how large is chosen.
Because of the uniform ellipticity, is uniformly bounded in , where . Therefore, through to a subsequence if necessary,
[TABLE]
globally uniformly in . Notice that also has -a priori estimates. We have
[TABLE]
as . Therefore, up to a subsequence, converges uniformly to . Because is uniformly bounded in , there exists so that
[TABLE]
The stability of viscosity solutions (see Lemma 2.1) leads to
[TABLE]
Because has -estimates, is a classical solution and its Taylor’s polynomial of second order is well defined; moreover, we have
[TABLE]
Choose in such a way that ; therefore,
[TABLE]
Furthermore, because uniformly in , we have
[TABLE]
for . By gathering the former inequalities, we obtain
[TABLE]
which contradicts (19) and concludes the proof. ∎
As a corollary to Lemma 7.1, we have the following result:
Corollary 7.1** (Paraboloid Approximation).**
Under the assumptions of Theorem 7.1, there exist two universal constants, and , such that if is a normalized solution of
[TABLE]
with , there exists a paraboloid , with universally controlled norm satisfying
[TABLE]
Proof.
The proof follows from Lemma 7.1, by setting and , along with additional minor modifications. ∎
To establish Theorem 7.1, the existence of an approximating polynomial of degree two is key. Once Corollary 7.1 is available, we can proceed to the proof of that theorem.
Proof of Theorem 7.1.
We split the proof into two steps.
Step 1 We start by proving the existence of a sequence of suitable approximating polynomials. Let be a normalized viscosity solution to (1) and consider to be determined later. If we define we have that is a normalized viscosity solution of
[TABLE]
where and . Now we choose ; this is set in such a way that
[TABLE]
where is the universal constant of Corollary 7.1. We prove the result for , which leads to the statement of the theorem.
Our goal is to establish the existence of a sequence of polynomials satisfying
[TABLE]
where
[TABLE]
and
[TABLE]
with as in Lemma 7.1. We proceed by induction in . Set and to be
[TABLE]
where the matrix satisfies
[TABLE]
The first step of the argument, the case , is obviously satisfied. Suppose we have established the existence of such polynomials for . Then, define the re-scaled function by
[TABLE]
the induction hypothesis ensures that is a normalized viscosity solutions of
[TABLE]
where
[TABLE]
and
[TABLE]
In addition, because , the equation
[TABLE]
inherits -estimates from the problem governed by . Hence, Proposition 7.1 ensures the existence of a paraboloid such that
[TABLE]
Therefore, by choosing
[TABLE]
and rescaling back to the unit picture, we obtain the step of induction. Now, we proceed to the second and final part of the proof.
Step 2
Observe that
[TABLE]
Finally, choose in such a way that to obtain
[TABLE]
where the last inequality follows from Theorem 1.1. This completes the proof. ∎
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