Regularity theory for time-fractional advection-diffusion-reaction equations
William McLean, Kassem Mustapha, Raed Ali, Omar M. Knio

TL;DR
This paper studies the regularity and derivative estimates of solutions to linear time-fractional advection-diffusion-reaction equations with variable coefficients, addressing challenges posed by nonlocal fractional derivatives for numerical analysis.
Contribution
It introduces new energy-based analytical techniques and fractional inequalities to establish estimates for solutions with low regularity, aiding numerical error analysis.
Findings
Derived estimates for time derivatives of solutions
Addressed low regularity initial data
Developed novel energy methods for fractional PDEs
Abstract
We investigate the behavior of the time derivatives of the solution to a linear time-fractional, advection-diffusion-reaction equation, allowing space- and time-dependent coefficients as well as initial data that may have low regularity. Our focus is on proving estimates that are needed for the error analysis of numerical methods. The nonlocal nature of the fractional derivative creates substantial difficulties compared with the case of a classical parabolic PDE. In our analysis, we rely on novel energy methods in combination with a fractional Gronwall inequality and certain properties of fractional integrals.
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Regularity theory for time-fractional advection-diffusion-reaction
equations 111The authors thank the University of New South Wales (Faculty Research Grant “Efficient numerical simulation of anomalous transport phenomena”), the King Fahd University of Petroleum and Minerals (project No. KAUST005) and the King Abdullah University of Science and Technology.
William McLean
School of Mathematics and Statistics, The University of New South Wales, Sydney 2052, Australia
Kassem Mustapha, Raed Ali
Department of Mathematics and Statistics, KFUPM, Dhahran, 31261, KSA
Omar M. Knio
Computer, Electrical, Mathermatical Sciences and Engineering Division, KAUST, Thuwal 23955, KSA
Abstract
We investigate the behavior of the time derivatives of the solution to a linear time-fractional, advection-diffusion-reaction equation, allowing space- and time-dependent coefficients as well as initial data that may have low regularity. Our focus is on proving estimates that are needed for the error analysis of numerical methods. The nonlocal nature of the fractional derivative creates substantial difficulties compared with the case of a classical parabolic PDE. In our analysis, we rely on novel energy methods in combination with a fractional Gronwall inequality and certain properties of fractional integrals.
keywords:
Fractional PDE, regularity analysis, energy arguments, fractional Gronwall inequality
MSC:
[2010] 26A33; 35B45, 35B65, 35D30, 35K57, 35Q84, 35R11.
††journal: Computers and Mathematics with Applications
1 Introduction
This paper is the sequel to a study [1] of existence and uniqueness of the weak solution to a time-fractional PDE of the form
[TABLE]
for and , subject to the boundary and initial conditions
[TABLE]
Various special cases of this problem occur in descriptions of subdiffusive transport, with the parameter arising from a continuous-time, random walk model [2, section 3.4] in which the waiting-time distribution is a power law decaying like as [3, 4, 5, 6, 7, 8]. For more details, see our related paper [1].
Our purpose here is to derive estimates for the derivatives of , motivated by their crucial role in the error analysis of numerical methods [9, 10, 11, 12, 13, 14, 15, 16] for applications included in the class (1) of time-fractional problems. For the basic fractional diffusion equation, given by the special case and , the solution admits a series representation via separation of variables, which, in combination with the asymptotics of the Mittag–Leffler function, yields bounds on the time derivatives of in various spatial norms [17, 18]. One may also represent the solution in terms of a fractional resolvent [19, 20, 21]. These simple approaches no longer work in the general case, and the analysis that follows relies instead on the tools used in our study [1] of well-posedness: energy methods and a fractional Gronwall inequality.
We assume that and that the spatial domain () is bounded and Lipschitz. The coefficients , , and , as well as the source term , may depend on and , but the generalized diffusivity may depend only on . Our theory requires that for appropriate ,
[TABLE]
where denotes the Sobolev space of functions with all partial derivatives up to and including order belonging to . The generalized diffusivity is permitted to be a bounded, matrix-valued function, that is, . In addition, we ensure that the spatial operator is uniformly elliptic on by assuming is symmetric and positive-definite with its minimal eigenvalue bounded away from zero. The fractional time derivative is understood in the Riemann–Liouville sense, that is with the fractional integral given by
[TABLE]
Let denote the inner product in or . The weak solution of (1) is defined by the condition
[TABLE]
for all , where and
[TABLE]
To see why, take the inner product of (1) with , apply the first Green identity and integrate in time (making use of the initial condition). We proved in our previous paper [1, Theorems 4.1 and 4.2] that the above problem is well-posed in the following sense.
Theorem 1
Assume that the coefficients satisfy (4) for , that the source term satisfies for , where and are positive constants, and that the initial data . Then, problem (1)–(3) has a unique weak solution u\in L_{2}\bigl{(}(0,T);L_{2}(\Omega)\bigr{)} that satisfies (5), and is such that
The restriction is continuous. 2. 2.
If , then with \|u(t)\|+t^{\alpha/2}\|\nabla u(t)\|\leq C\bigl{(}\|u_{0}\|+Mt^{\eta}\bigr{)}. 3. 3.
* and .* 4. 4.
If , then , and . 5. 5.
If , then for each .
Regarding part 1 and the weak continuity in part 5, we will show in Theorem 12 that is continuous on the closed interval provided for some .
Some partial results on the regularity of are known. If the coefficients in (1) are independent of time, and if and , then by applying to both sides the fractional PDE may be written in the alternative form
[TABLE]
Sakamoto and Yamamoto [22, Corollary 2.6] show, for example, that if then the solution of (7) satisfies a bound of the form , where denotes the norm in . Mu, Ahmad and Huang [23] obtain analogous estimates using weighted Hölder norms. Recently, Le et al. [24] studied (1) for the case and , with . One of their regularity results [24, Theorem 7.3] gives the bound when , subject to the restriction .
The next section gathers together some technical preliminaries needed for our analysis, which uses delicate energy arguments, a fractional Gronwall inequality and several properties of fractional integrals to prove a priori estimates for the weak solution of (1)–(3). In Section 3, we estimate the derivatives of and with respect to time assuming . For example, Corollary 10 shows that if then, with such that (4) holds,
[TABLE]
for . Unlike a classical parabolic PDE, the fractional problem (1) exhibits only limited spatial smoothing as increases [17], and in Section 4 we investigate the consequences of more regular initial data. For example, Theorems 12 and 13 show that when and for , and under additional assumptions on and ,
[TABLE]
The paper concludes with an Appendix containing three technical lemmas.
2 Preliminaries and notations
This section introduces some notations and states some technical results that will be used in our subsequent regularity analysis. As in our recent paper [1], we define the quadratic operators and , for and , by
[TABLE]
These operators coincide when , so we write . We recall the following positivity property [25, Theorem 2]
[TABLE]
The next four lemmas establish key inequalities satisfied by and .
Lemma 2** ([13, Lemma 3.2])**
If and , then
[TABLE]
Lemma 3** ([1, Lemmas 2.2 and 2.3])**
If , then for \phi\in L_{2}\bigl{(}(0,t),L_{2}(\Omega)\bigr{)},
[TABLE]
Furthermore, if \phi\in W^{1}_{1}\bigl{(}(0,t);L_{2}(\Omega)\bigr{)} and , then
[TABLE]
Lemma 4** ([13, Lemma 3.1])**
If , then .
We will make essential use of the following fractional Gronwall inequality.
Lemma 5** ([26, Theorem 3.1])**
Let and . Assume that and are non-negative and non-decreasing functions on the interval . If is an integrable function satisfying
[TABLE]
then
[TABLE]
Let denote the operator of pointwise multiplication by , that is,
[TABLE]
and note the commutator properties (for any integer and any real )
[TABLE]
The following identities then follow by induction on .
Lemma 6
For and , there exist constant coefficients , , and such that
[TABLE]
For later reference, we set and
[TABLE]
When the formulas involving become redundant, and we see that for . Likewise, for since has a pole at . We conclude this section by noting that if and , then
[TABLE]
which amounts to a restatement of the relation between the Riemann–Liouville and Caputo fractional derivatives.
3 Regularity of the weak solution
Our aim in this section is to estimate higher-order time derivatives of assuming appropriate bounds on the higher-order time derivatives of (and hence, ultimately, of ), as well as sufficient smoothness of the coefficients in (1). We will not attempt to prove the existence of the higher-order derivatives of , which could be done by estimating the corresponding derivatives of the projected solution from our earlier paper [1] corresponding to a finite dimensional subspace , and then taking appropriate limits as . For the remainder of the paper, we assume that (4) holds, and that
[TABLE]
It follows that the existence and uniqueness of the weak solution are guaranteed by Theorem 1. Henceforth, will denote a generic constant that may depend on the coefficients in (1), the spatial domain , the time interval , the fractional exponent , the parameter , and the integer in (4). Also, we rescale the time variable if necessary so that the minimum eigenvalue of satisfies
[TABLE]
For brevity, we introduce some more notations. Let
[TABLE]
Integrating by parts and recalling (6), we find that
[TABLE]
Generalizing (20), for we put
[TABLE]
and generalizing (8) we put
[TABLE]
with . The next result relies on Lemma 15 from the Appendix.
Lemma 7
For and for ,
[TABLE]
and
[TABLE]
Proof
Since by part 4 of Theorem 1,
[TABLE]
and by the identity in (17),
[TABLE]
Thus, multiplying both sides of (5) by yields
[TABLE]
for . We have
[TABLE]
where the final step follows by (18) because
[TABLE]
Likewise, because
[TABLE]
and therefore
[TABLE]
We let , and conclude using the Cauchy–Schwarz inequality that
[TABLE]
Choosing , integrating over the time interval and using (19), we have
[TABLE]
and by the Cauchy-Schwarz inequality and Lemma 3,
[TABLE]
Thus,
[TABLE]
implying that the function satisfies
[TABLE]
By Lemma 15,
[TABLE]
and, applying Lemma 4 with and ,
[TABLE]
for . By combining the above estimates,
[TABLE]
Consequently, we conclude (recursively) that
[TABLE]
so, by applying the first inequality in Lemma 3 with ,
[TABLE]
Therefore, a repeated application of Lemma 5 yields the first desired estimate.
To show the second estimate, choose in (22) and obtain
[TABLE]
where . The first and the last terms on the right-hand side are bounded by so, after integrating in time, using (19) and applying (10) (for a sufficiently large ),
[TABLE]
Since , we see that
[TABLE]
and therefore, applying Lemma 15 followed by Lemma 4,
[TABLE]
Hence, the function satisfies
[TABLE]
and so, using (11) and (12), it follows that
[TABLE]
By the first inequality in Lemma 3 and (12),
[TABLE]
and thus by Lemma 5,
[TABLE]
Applying this inequality recursively gives
[TABLE]
which completes the proof.
We can now show pointwise bounds for the norms in of the time derivatives of and .
Theorem 8
For and ,
[TABLE]
Proof
Since , we see using (15) (and setting ) that
[TABLE]
and hence
[TABLE]
Using the second inequality in Lemma 3 with and the first bound in Lemma 7, we get
[TABLE]
and so
[TABLE]
Applying the same argument to in place of , and using the second bound in Lemma 7, the result follows.
Next, we estimate fractional time derivatives of and . These bounds will later help in our study of spatial regularity, and reflect the presence of the fractional time derivative in (1).
Theorem 9
For and ,
[TABLE]
Proof
Using the inequality (25),
[TABLE]
and using (13) and (18) (with ),
[TABLE]
Thus, by (17),
[TABLE]
We have
[TABLE]
where we used the identity (18) (with ) and the fact that for . Hence,
[TABLE]
where . Using (14),
[TABLE]
and so, by Theorem 8,
[TABLE]
Since where is nondecreasing, we see that . Therefore,
[TABLE]
and the desired bound for follows at once from (26).
Replacing with in the preceding argument, we have
[TABLE]
where, this time, and hence
[TABLE]
It follows that and therefore t^{\alpha}\bigl{\|}(\mathcal{M}^{m}\partial_{t}^{m-\alpha}\nabla u)(t)\bigr{\|}^{2} is bounded by
[TABLE]
as required.
The following simplified bounds are perhaps more immediately useful.
Corollary 10
Let and suppose that is with
[TABLE]
Then
[TABLE]
and
[TABLE]
Proof
Since for , (14) implies that
[TABLE]
with . Thus,
[TABLE]
with , so
[TABLE]
and the result follows from Theorems 8 and 9.
4 More regular initial data
We will now investigate further the relation between the regularity of and that of the initial data . In particular, Theorem 13 below extends Corollary 10 and proves a bound used in an error analysis of a finite element discretization of the fractional Fokker–Planck equation [13]. The fractional PDE (1) can be rewritten as
[TABLE]
where h=g-\nabla\cdot\bigl{(}\vec{F}\partial_{t}^{1-\alpha}u+\vec{G}u\bigr{)}-(a\partial_{t}^{1-\alpha}u+bu). We can therefore apply known results for the fractional diffusion equation to establish the following bounds in the norm of the fractional Sobolev space , where is defined via the spectral representation of using the Dirichlet eigenfunctions on [17, 27]. The results of this section require -regularity for the Poisson problem, and to ensure this property we make the additional assumptions [28, Theorems 2.2.2.3 and 3.2.1.2]
[TABLE]
It follows that and . We also require that satisfies (28). Our first result does not assume any additional smoothness of .
Theorem 11
Assume (28) and (29). If , then
[TABLE]
Proof
We have [17, Theorems 4.1 and 4.2, and the inequality stated after Theorem 5.4]
[TABLE]
for and for , with
[TABLE]
Corollary 10 shows that is bounded by
[TABLE]
so and hence
[TABLE]
completing the proof.
Recall from part 5 of Theorem 1 that for any the solution converges weakly to in as . The first estimate in our next result shows that in the norm of if we impose some additional spatial regularity on the initial data, namely if for some . The second and third estimates extend the results of Corollary 10.
Theorem 12
Assume (28) and (29). If and , then
[TABLE]
and, for ,
[TABLE]
with
[TABLE]
Proof
Introduce the solution operator . By linearity, where and . In view of Corollary 10, it suffices to consider . Let so that , and suppose to begin with that . Using (5), we find that
[TABLE]
where . Since , and recalling the definitions (6), we have
[TABLE]
so . Therefore, by Corollary 10,
[TABLE]
which proves the result for integer-order time derivatives in the case . Similarly, for the fractional-order time derivatives,
[TABLE]
completing the proof for . Since Corollary 10 also implies the case , the result follows for by interpolation.
With the help of Lemma 16 from the Appendix, we can generalize Theorem 11 as follows.
Theorem 13
Assume (28) and (29). If and , then
[TABLE]
Proof
We know from Theorem11 that
[TABLE]
so there is nothing to prove if . Thus, by linearity, we may assume that and so . Integrating (1) in time, we see that
[TABLE]
and, after applying the operator to both sides,
[TABLE]
Since in , with on for , it follows by -regularity for the Poisson problem that
[TABLE]
The identity (18) (with ) implies that
[TABLE]
and Lemma 16 and Theorem 12 (with ) imply that
[TABLE]
Since , we see from Lemma 16 and Theorem 12 that
[TABLE]
Similarly, t^{m+1}\bigl{\|}\partial_{t}^{m}\mathcal{I}^{1-\alpha}(a\partial_{t}^{1-\alpha}u)\bigr{\|}\leq Ct^{1+\alpha/2}\|u_{0}\|_{2}, whereas
[TABLE]
and t^{m+1}\bigl{\|}\partial_{t}^{m}\mathcal{I}^{1-\alpha}(bu)\bigr{\|}\leq Ct^{2-\alpha}\|u_{0}\|_{2}. Thus,
[TABLE]
showing that and therefore, by (30) and (31),
[TABLE]
which proves the result in the cases and . The case then follows by interpolation.
Appendix A Further technical lemmas
The following identity uses the notation from Lemma 6.
Lemma 14
Let and . If, for ,
[TABLE]
with
[TABLE]
then
[TABLE]
Proof
By (17),
[TABLE]
If , then so . Therefore,
[TABLE]
If then so
[TABLE]
and thus
[TABLE]
By (18),
[TABLE]
and our hypotheses on ensure that all terms in the sum over vanish.
The next lemma was used in the proof of Lemma 7.
Lemma 15
Let \psi\in W^{2m-1}_{\infty}\bigl{(}(0,T);L_{\infty}(\Omega)^{d}\bigr{)} for some and let . Then,
[TABLE]
Proof
We integrate by parts times to obtain
[TABLE]
and so
[TABLE]
where
[TABLE]
If , then
[TABLE]
so our assumption on implies that
[TABLE]
By Lemma 14,
[TABLE]
and by (16),
[TABLE]
with
[TABLE]
Thus, for ,
[TABLE]
and for ,
[TABLE]
so
[TABLE]
Integrating in time, since , we see that
[TABLE]
and therefore, by Lemma 4,
[TABLE]
Hence, recalling (33),
[TABLE]
It remains to estimate . Taking and in Lemma 14 gives
[TABLE]
and so
[TABLE]
Thus,
[TABLE]
and since
[TABLE]
we have, by Lemma 4,
[TABLE]
Finally, using (34) with replaced by and with replaced by ,
[TABLE]
The result now follows from (32) and (35).
We used the following result in the proof of Theorem 13.
Lemma 16
If , \psi\in W^{m}_{\infty}\bigl{(}(0,T);L_{\infty}(\Omega)^{d}\bigr{)} and
[TABLE]
with
[TABLE]
then
[TABLE]
Proof
By (15),
[TABLE]
and in turn,
[TABLE]
Since for ,
[TABLE]
where, in the last step, we used the fact that for . We have
[TABLE]
and hence
[TABLE]
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