Moser's estimates for degenerate Kolmogorov equations with non-negative divergence lower order coefficients
Francesca Anceschi, Sergio Polidoro, Maria Alessandra Ragusa

TL;DR
This paper establishes local boundedness of solutions to certain degenerate Kolmogorov equations with measurable coefficients, even with minimal assumptions on lower order terms, advancing understanding of their regularity.
Contribution
It provides new Moser-type estimates for degenerate Kolmogorov equations with non-negative divergence lower order coefficients under minimal integrability conditions.
Findings
Solutions are locally bounded despite degeneracy and minimal coefficient regularity.
The results extend regularity theory for Kolmogorov equations with less restrictive assumptions.
Methodology involves novel adaptations of Moser's iteration technique.
Abstract
We prove the local boundedness of the solutions to degenerate second order partial differential equations of Kolmogorov type with measurable coefficients in divergence form, under minimal integrability assumption on the lower order coefficients.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Moser’s estimates for degenerate Kolmogorov equations with non-negative divergence lower order coefficients
Francesca Anceschi Sergio Polidoro
Maria Alessandra Ragusa Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia, Via Campi 213/b, 41125 Modena (Italy). E-mail: [email protected] di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia, Via Campi 213/b, 41125 Modena (Ialy). E-mail: [email protected] di Matematica e Informatica, Università degli Studi di Catania, Viale Andrea Doria, 5, 95125 Catania (Italy), RUDN University, 6 Miklukho - Maklay St, Moscow, 117198 (Russia). E-mail: [email protected]
Abstract
We prove estimates for positive solutions to the following degenerate second order partial differential equation of Kolmogorov type with measurable coefficients of the form
[TABLE]
where is a point of , and . is an uniformly positive symmetric matrix with bounded measurable coefficients, is a constant matrix. We apply the Moser’s iteration method to prove the local boundedness of the solution under minimal integrability assumption on the coefficients.
1 Introduction
We consider second order partial differential operators of Kolmogorov-Fokker-Planck type of the form
[TABLE]
in some open set . Here denotes a point of , and . In the sequel we will use the following notation
[TABLE]
where is the coefficient appearing in (1.1) for , while whenever or . Eventually,
[TABLE]
Then the operator takes the following compact form
[TABLE]
Here and in the sequel
[TABLE]
denote the gradient, the inner product, and and the divergence in , respectively. As the operator is non degenerate with respect to the first components of , we also introduce the notation
[TABLE]
We assume the following structural condition on .
(H1)
The matrix is symmetric with real measurable entries. Moreover, , and there exists a positive constant such that
[TABLE]
for every and . The matrix is constant.
Note that the operator is uniformly parabolic when . In this note, we are mainly interested in the case , that is the strongly degenerate one. It is known that the first order part of may provide it with strong regularity properties. To be more specific, let’s consider the operator defined as follows:
[TABLE]
It is known that, if the matrix satisfies a suitable assumption, then is hypoelliptic. This means that, if is a distributional solution to in some open set of and , then and it is a classic solution to the equation.
The hypoellipticity of can be tested via the condition introduced by Hörmander in [11]:
[TABLE]
where denotes the Lie algebra generated by the first order differential operators (vector fields) , computed at . We refer to E. Lanconelli and one of the authors [14] for a characterization of the hypoellipticity of in terms of the matrix .
(H2)
The principal part of is hypoelliptic.
In Section 2, we recall a known structural condition on the matrix equivalent to (H2). We remark that if is an uniformly parabolic operator (i.e. and ), then (H2) is clearly satisfied. Indeed, the principal part of simply is the heat operator, which is hypoelliptic and homogeneous with respect to the parabolic dilations . In the degenerate setting, plays the same role that the heat operator plays in the family of the parabolic operators. For this reason, will be referred to as principal part of .
The aim of this work is to prove estimates for weak solutions to , by using the Moser’s iteration method, under minimal assumptions on the integrability of the lower order coefficients . The Moser’s iterative scheme ([16], [17]) has been applied to degenerate parabolic operators with no lower order terms by Cinti, Pascucci and one of the authors in [20] and [6]. These results have been extended to operators with bounded first order coefficients by Lanconelli, Pascucci and one of the authors in [14] and [13], and to operators with first order coefficients belonging to some space by Wang and Zhang [23].
Our study has been inspired by the article of Nazarov and Uralt’seva [18], who prove estimates and Harnack inequalities for uniformly elliptic and parabolic operators in divergence form that are those with according to our notation. The authors consider uniformly parabolic equations in
[TABLE]
with . They prove that the Moser’s iteration can be accomplished provided that relying on the condition to relax the integrability assumption on . Here and in the sequel, the quantity will be understood in the distributional sense
[TABLE]
for every . Of course, also the quantity will be understood in the distributional sense.
When considering degenerate operators, a suitable dilation group in replaces the usual parabolic dilation , and the parabolic dimension of is replaced by a bigger integer , which is called homogeneous dimension of with respect to . Our main result will be declared in terms of this quantity, that will be introduced in Section 2.
As far as it concerns degenerate operators, Wang and Zhang obtain in [23] the local boundedness and the Hölder continuity for weak solutions to by assuming the condition , with . Our assumption on the integrability of the lower order coefficients , with and is stated as follows:
(H3)
, with , for some . Moreover,
[TABLE]
In general, solutions to will be understood in the following weak sense.
Definition 1.1**.**
Let be an open subset of . A weak solution to is a function such that and
[TABLE]
In the sequel, we will also consider weak sub-solutions to , namely functions such that and
[TABLE]
*A function is a super-solution of if is a sub-solution. *
We note that if is both a sub-solution and a super-solution of then it is a solution, i.e. holds. Indeed, for every given , we may consider such that and in . Therefore follows by applying (1.6) to .
A comparison of our result with that of Nazarov and Uralt’seva is in order. It would be natural to expect that the optimal lower bound for the exponent is . Indeed, the difficulty in considering degenerate equations lies in the fact that a Caccioppoli inequality gives an a priori estimate for the derivatives of the solution , that are the derivative with respect to the non-degeneracy directions of . Moreover, the standard Sobolev inequality cannot be used to obtain an improvement of the integrability of the solution as in the non-degenerate case. For this reason we rely on a representation formula for the solution first used in [20]. Specifically, we represent a solution to in terms of the fundamental solution of . Indeed, if is a solution to in , then we have
[TABLE]
where is the fundamental solution to (see (2.19) and (2.20) in the sequel), and
[TABLE]
where we denote
[TABLE]
where is the identity matrix in , and are zero matrices. This representation formula provides us with a Sobolev type inequality only for weak solutions to the equation . Specifically, we find that, for every , there exist a positive constant such that
[TABLE]
and, by considering as a test function, we obtain the following Caccioppoli inequality
[TABLE]
where
[TABLE]
As far as it concerns the Moser’s iteration, the above inequalities are applied to a sequence of functions , with , in order to obtain an bound for the solution .
We note that, the Sobolev inequality is useful to the iteration whenever , and this is true if, and only if . Moreover, the condition is required by Nazarov and Uralt’seva in the proof of the Caccioppoli inequality for non-degenerate operators. Since in our work both Sobolev and Caccioppoli inequalities depend on the norm of , we require a more restrictive condition on to improve the integrability of . Specifically, if we combine the Sobolev and the Caccioppoli inequalities, we need to have , and this is true if, and only if , as we require in Assumption (H3).
We next state our main result. As we shall see in Section 2, the natural geometry underlying the operator is determined by a suitable homogeneous Lie group structure on . Our main result reflect this non-Euclidean background. Let “” denote the Lie product on defined in (2.17) and the family of dilations defined in (2.22). Let us consider the cylinder:
[TABLE]
For every and , we set
[TABLE]
Theorem 1.2**.**
Let be a non-negative weak solution to in . Let and , be such that . Then there exist positive constants and such that for every , it holds
[TABLE]
*where , with and defined as in (1.10). *
Remark 1.3**.**
Estimate (1.11) is meaningful whenever the integral appearing in its right-hand side is finite. Note that (1.11) is an estimate of the infimum of when . More precisely, we have that
[TABLE]
Corollary 1.4**.**
Let be a weak solution to in . Then for every we have
[TABLE]
Proposition 1.5**.**
Sub and super-solutions also verify estimate (1.11) for suitable values of . More precisely, (1.11) holds for
* or , if is a non-negative weak sub-solution of (1.1);* 2. 2.
, if is a non-negative weak super-solution of (1.1).
We conclude this introduction with some motivations for the study of operators in the form (1.1). Degenerate equations of the form naturally arise in the theory of stochastic processes, kinetic theory of gases and mathematical finance. For instance, if denotes a real Brownian motion, then the simplest non-trivial Kolmogorov operator
[TABLE]
is the infinitesimal generator of the classical Langevin’s stochastic equation that describes the position and the velocity of a particle in the phase space (cf. [15])
[TABLE]
Notice that in this case we have .
Linear Fokker-Planck equations (cf. [7] and [22]), non-linear Boltzmann-Landau equations (cf. [15] and [5]) and non-linear equations for Lagrangian stochastic models commonly used in the simulation of turbulent flows (cf. [4]) can be written in the form
[TABLE]
with the coefficients that may depend on the solution through some integral expressions. It is clear that equation (1.15) is a particular case of with and
[TABLE]
where and denote the identity matrix and the zero matrix, respectively.
In mathematical finance, equations of the form appear in various models for pricing of path-dependent derivatives such as Asian options (cf., for instance, [3] [19]), stochastic velocity models (cf. [10] [21]) and in theory of stochastic utility (cf. [1] [2]).
This note is organized as follows. In Section 2 we recall some known facts about operators and , and we give some preliminary results. In Section 3 we prove Theorem 3.1 and Proposition 3.2, which is an intermediate result (Caccioppoli type inequality for weak solutions to ) needed for the bootstrap argument. Finally, in Section 4 we deal with the Moser’s iterative method.
2 Preliminaries
In this Section we recall notation and results we need in order to deal with the non-Euclidean geometry underlying the operators and . We refer to the articles [6] and [14] for a comprehensive treatment of this subject. The operator is invariant with respect to a Lie product on . More precisely, we let
[TABLE]
and we denote by , the left translation in the group law
[TABLE]
Thus we have
[TABLE]
This means that, if v(x,t)=u\big{(}(\xi,\tau)\circ(x,t)\big{)} and g(x,t)=f\big{(}(\xi,\tau)\circ(x,t)\big{)}, we have
[TABLE]
We recall that, by [14] (Propositions 2.1 and 2.2), assumption (H2) is equivalent to assume that, for some basis on , the matrix has the canonical form
[TABLE]
where every is a matrix of rank , with
[TABLE]
and the blocks denoted by “*” are arbitrary. In the sequel we shall assume that has the canonical form (2.18).
We denote by the fundamental solution of in (1.4) with pole in . An explicit expression of has first been constructed by Kolmogorov [12] for operators in the form (1.15), then by Hörmander in [11] under more general conditions
[TABLE]
where
[TABLE]
and
[TABLE]
where is the matrix defined in (2.16). Note that assumption (H2) implies that is strictly positive for every (see [14], Proposition A.1).
Among the operators where the matrix is of the form (2.18), the ones for which the blocks are equal to zero play a central role. Indeed, let us consider the principal part operator , where and
[TABLE]
The operator is invariant with respect to the dilations defined as
[TABLE]
In order to explain the importance of this invariance property we introduce for every positive the scaled operator
[TABLE]
In order to explicitly write we note that, if
[TABLE]
where are the blocks denoted by in (2.18), then we can rewrite as follows
[TABLE]
where
[TABLE]
and i.e.
[TABLE]
Note that
[TABLE]
if, and only if with . In this case, if v(x,t)=u\big{(}{\delta}_{r}(x,t)\big{)} and g(x,t)=f\big{(}{\delta}_{r}(x,t)\big{)}, then
[TABLE]
Since is the blow-up limit of , the dilation group plays a central role also for non-dilation invariant operators.
We next introduce a norm which is homogeneous of degree with respect to the dilations and a corresponding quasi-distance which is invariant with respect to the translation group for the case of blocks equal to zero.
Definition 2.1**.**
Let be the positive integers such that
[TABLE]
If we set while, if we define where is the unique positive solution to the equation
[TABLE]
We define the quasi-distance by
[TABLE]
Remark 2.2**.**
The Lebesgue measure is invariant with respect to the translation group associated to , since , where is the exponential matrix of equation (2.16). Moreover, since , we also have
[TABLE]
where
[TABLE]
*The natural number is usually called the homogeneous dimension of with respect to . *
Remark 2.3**.**
The norm is homogeneous of degree with respect to , that is
[TABLE]
Actually in all the norms, that are -homogeneous with respect to , are equivalent. In particular, the norm introduced in Definition 2.1 is equivalent to the following one
[TABLE]
*where the homogeneity with respect to can easily be showed. We prefer the norm of Definition 2.1 to because its level sets (spheres) are smooth surfaces. *
When is dilation invariant with respect to , also its fundamental solution is a homogeneous function of degree , namely
[TABLE]
This property implies an estimate for Newtonian potential (c. f. for instance [8]).
Proposition 2.4**.**
Let and let be a homogeneous function of degree . If for some , then the function
[TABLE]
is defined almost everywhere and there exists a constant such that
[TABLE]
where is defined by
[TABLE]
It is known that homogeneous operators provide a good approximation of the non-homogeneous ones. In order to be more specific, let us consider a homogeneous operator of the form
[TABLE]
where is the matrix in (2.21), and denote by the fundamental solution of . If denotes the fundamental solution of defined in (2.20), then, for every , there exists a positive constant such that
[TABLE]
for every such that (see [14], Theorem 3.1).
We define the potential of the function as follows
[TABLE]
We also remark that the potential is well-defined for any , at least in the distributional sense, that is
[TABLE]
where is the gradient with respect to . Based on (2.27), in [6] are proved potential estimates for non-dilation invariant operators.
Theorem 2.5**.**
Let . There exists a positive constant such that
[TABLE]
*where and . *
We can use the fundamental solution as a test function in the definition of sub and super-solution. The following result extends Lemma 2.5 in [20] and Lemma 3 in [6].
Lemma 2.6**.**
Let be a non-negative weak sub-solution to in . For every , , and for almost every , we have
[TABLE]
*An analogous result holds for weak super-solutions to . *
Proof.
We define the cut-off function
[TABLE]
with . Moreover, for every we define
[TABLE]
Because is a weak sub-solution, then by (1.6) for every and we have
[TABLE]
where
[TABLE]
Keeping in mind Theorem 2.5, it is clear that the integral which defines is a potential and it is convergent for almost every . Thus, by a similar argument to the one used in [20] to prove Lemma 2.5 (pg. ), we get that for almost every
[TABLE]
Let us consider the term . We integrate by parts and we consider assumption (H3):
[TABLE]
We are left with the estimate of a potential and in order to do so we would like to use Theorem 2.5. Because , with and , we have that
[TABLE]
where is defined as in (1.10). This yields, for every
[TABLE]
Thus, by the Lebesgue convergence theorem, we get for a.e.
[TABLE]
Now, we are left with an estimate of the term , which is a potential such that
[TABLE]
Thus, we have that
[TABLE]
Then we can apply the Lebesgue convergence theorem and we get for a. e.
[TABLE]
3 Sobolev and Caccioppoli Inequalities
In this Section we give proof of a Sobolev inequality and a Caccioppoli inequality for weak solutions to . We start considering the Sobolev inequality and we remark that it holds true for every .
Theorem 3.1** (Sobolev Type Inequality for sub-solutions).**
*Let (H1)-(H2) hold. Let
, for some , and in . Let be a non-negative weak sub-solution of in . Then there exists a constant such that , and the following statement holds*
[TABLE]
*for every with and for every , where is defined in (1.10). *
Proof.
Let be a non-negative weak sub-solution to . We represent in terms of the fundamental solution . To this end, we consider the cut-off function defined in (2.32) for . Then we consider the following test function
[TABLE]
and the following estimates hold true
[TABLE]
where , are dimensional constants. For every , we have
[TABLE]
where
[TABLE]
Since is a non-negative weak sub-solution to , it follows from Lemma 2.6 that , then
[TABLE]
To prove our claim is sufficient to estimate by a sum of potentials.
We start by estimating . In order to do so, we recall that
[TABLE]
Thus by Theorem 2.5 we get
[TABLE]
where is defined in (1.10). When we have that . Moreover, thanks to estimate (2.30), we have
[TABLE]
We prove an estimate for the term . can be estimated by (2.31) of Theorem 2.5 as follows
[TABLE]
where the last inequality follows from (3.35). To estimate we use (2.30)
[TABLE]
We can use the same technique to prove that
[TABLE]
for some constant .
A similar argument proves the thesis when is a super-solution to . In this case we introduce the following auxiliary operator
[TABLE]
Then we proceed analogously as in [20], Section 3, proof of Theorem 3.3.
Finally, we give proof of a Caccioppoli inequality for weak solutions to .
Proposition 3.2**.**
Let (H1)-(H3) hold. Let be a non-negative weak solution of in . Let , , and let be such that . Then there exists a constant such that
[TABLE]
*where is defined in (1.10). *
Proof.
We consider the case , , . First of all, we consider an uniformly positive weak solution to , that is for some constant . For every we consider the function . Note that , then we can use as a test function in (1.5):
[TABLE]
Let . Since is a weak solution to and , then :
[TABLE]
Because of assumption (H1) and by definition (3.34) of the cut-off function , we get the following inequality
[TABLE]
where is a positive constant coming from the application of the Young’s inequality. In the following we are going to consider exponents and defined in (1.10). Now we need to estimate the boxed terms.
Let us consider the term A, by Assumption (H3) and a classic Hölder estimate we have that
[TABLE]
Let us consider the term B. Thus, by Assumption (H3) and a classic Hölder estimate we have that
[TABLE]
Let us consider the linear term C. We estimate it via a classical Hölder estimate:
[TABLE]
As far as it concerns the term D, we begin considering the following equality:
[TABLE]
Since by the divergence theorem ( is null on the boundary of ), we get
[TABLE]
Thus we have
[TABLE]
By choosing and considering that we have that
[TABLE]
The previous argument can be adapted to the case of a non-negative weak solution to . Indeed, we may consider the estimate (3.39) for the solution ,
[TABLE]
We let go to infinity. The passage to the limit in the first integral is allowed because
[TABLE]
For the second integral we rely on the assumptions and .
Next, we consider the case . For any , we define the function on as follows
[TABLE]
then we let
[TABLE]
Note that
[TABLE]
Thus since is a weak solution to , we have
[TABLE]
We also note that the function
[TABLE]
is the weak derivative of , then (for the detailed proof of this assertion, we refer to [9], Theorem 7.8). Hence, by considering
[TABLE]
as a test function in Definition 1.5, we find
[TABLE]
Since we have that the following equality holds:
[TABLE]
Since we have that the boxed term A is non-negative. Moreover, by Assumption (H3) the boxed term B is non-positive. Thus, by considering Assumption (H1) and by choosing we have that
[TABLE]
Since and
[TABLE]
we get from the above inequality
[TABLE]
and we conclude the proof as in the previous case.
4 The Moser’s Iteration
In this Section we use the classical Moser’s iteration scheme to prove Theorem 1.2. We begin with some preliminary remarks. First of all, we recall the following Lemma, whose proof can be found in [6], Lemma 6.
Lemma 4.1**.**
There exists a positive constant such that
[TABLE]
*for every and . *
We are now in position to prove Theorem 1.2.
Proof of Theorem 1.2. It suffices to give proof in the case , and . Combining Theorems 3.1 and 3.2, we obtain the following estimate: if verify the condition
[TABLE]
then, for every such that , there exists a positive constant such that
[TABLE]
where
[TABLE]
We remark that the previous constant can be estimated as follows
[TABLE]
Fixed a suitable , we shall specify later on, and we iterate inequality (4.41) by choosing
[TABLE]
Then we set . If is such that
[TABLE]
by (4.41) and estimate (4.42) we obtain the following inequality for every
[TABLE]
Since
[TABLE]
we can rewrite equation (4.44) in the following form for every
[TABLE]
Iterating this inequality, we obtain
[TABLE]
and letting go to infinity, we get
[TABLE]
where and
[TABLE]
is a finite constant dependent on . Thus, we have proved that
[TABLE]
for every which verifies condition (4.43). Because
[TABLE]
we get estimate (1.11). We now make a suitable choice of , only dependent on the homogeneous dimension , in order to show that (4.43) holds for every positive . We remark that, if is a number of the form
[TABLE]
then (4.43) is satisfied with
[TABLE]
Therefore (4.45) holds for such a choice of , with only dependent on and , , . On the other hand, if is an arbitrary positive number, we consider such that
[TABLE]
Hence, by (4.45) we have
[TABLE]
so that, by (4.46), we obtain
[TABLE]
This concludes the proof of (1.11) for . We next consider . In this case, assuming that for some positive constant , estimate (1.11) can be proved as in the case or even more easealy since condition (4.43) is satisfied for every . On the other hand, if is a non-negative solution, it suffices to apply (1.11) to , and let go to infinity, by the monotone convergence theorem.
As far as we are concerned with the proof of Corollary 1.4, it can be straightforwardly accomplished proceeding as in [20, Corollary 1.4]. Moreover, Proposition 1.5 can be obtained by the same argument used in the proof of Theorem 1.2. For this reason, we do not give here the proof of these two results.
We close this Section recalling that Theorem 1.2 also holds true in the sets
[TABLE]
in the case of non-negative exponents . This result is analogous to [16], Theorem 3 (see also inequality () of Lemma 1 in [17]) and states that, in some sense, every point of can be considered as an interior point of , when , even though it belongs to its topological boundary.
Proposition 4.2**.**
Let be a non-negative weak sub-solution to in . Let and , such that and . Then there exist positive constants and such that
[TABLE]
*where , with and defined in (1.10), provided that the integral is convergent. *
The proof of the above Proposition can be straightforwardly accomplished proceeding as in Proposition 5.1 in [20], and therefore is omitted.
Acknowledgements
This research group was partially supported by the grant of Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM). The second author acknowledges financial support from the FAR2017 project “The role of Asymmetry and Kolmogorov equations in financial Risk Modelling (ARM)”. The third author is partially supported by the “RUDN University Program 5-100”.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] F. Antonelli, E. Barucci, and M. E. Mancino , Asset pricing with a forward-backward stochastic differential utility , Econom. Lett., 72 (2001), pp. 151–157.
- 2[2] F. Antonelli and A. Pascucci , On the viscosity solutions of a stochastic differential utility problem , J. Differential Equations, 186 (2002), pp. 69–87.
- 3[3] E. Barucci, S. Polidoro, and V. Vespri , Some results on partial differential equations and Asian options , Math. Models Methods Appl. Sci., 11 (2001), pp. 475–497.
- 4[4] M. Bossy, J.-F. Jabir, and D. Talay , On conditional Mc Kean Lagrangian stochastic models , Probab. Theory Related Fields, 151 (2011), pp. 319–351.
- 5[5] C. Cercignani , The Boltzmann equation: some mathematical aspects , in Kinetic theory and gas dynamics, vol. 293 of CISM Courses and Lect., Springer, Vienna, 1988, pp. 1–36.
- 6[6] C. Cinti, A. Pascucci, and S. Polidoro , Pointwise estimates for a class of non-homogeneous Kolmogorov equations , Math. Ann., 340 (2008), pp. 237–264.
- 7[7] L. Desvillettes and C. Villani , On the trend to global equilibrium in spatially inhomogeneous entropy-dissipating systems: the linear Fokker-Planck equation , Comm. Pure Appl. Math., 54 (2001), pp. 1–42.
- 8[8] G. B. Folland , Subelliptic estimates and function spaces on nilpotent Lie groups , Ark. Mat., 13 (1975), pp. 161–207.
