Abstract
Fractional wave equations with time-dependent coefficients are natural generations of classical wave equations which can be used to characterize propagation of wave in inhomogeneous media with frequency-dependent power-law behavior. This paper discusses the well-posedness and regularity results of the weak solution for a fractional wave equation allowing that the coefficients may have low regularity. Our analysis relies on mollification arguments, Galerkin methods, and energy arguments.
MSC:
35R11; 49K40; 35B65
1. Introduction
Fractional calculus has become an important topic thanks to its effective characterization of the ubiquitous power-law phenomena as well as its widespread applications in many areas of science and engineering such as porous media, turbulence, bioscience, geoscience, viscoelastic material, and so on. The most important mathematical equations among such models are fractional partial differential equations, which can be more relevant for describing the underlying anomalous features, non-local interactions, manifesting in memory effects, sharp peaks, power law distributions, and self-similar structures. For such kinds of equations, there is a large and rapidly growing number of publications. See the monographs of Herrmann [], Hilfer [], Jin [], Kilbas et al. [], and Zhou [], and the references therein.
In this paper we consider the following fractional wave equation in a bound domain with smooth boundary :
where is a fractional derivative of order , which will be defined in the following contexts, and
for and with , , and . What is more, we assume that is uniformly elliptic, i.e., there exist positive constants such that
for a.a. .
Recall that the initial boundary value problem (1) would resolve itself into fractional diffusion equations when . It has attracted a growing interest due to its widespread applications in sub-diffusive processes. The authors in [] constructed fundamental solutions to the problem using Fox’s H-functions and the Levi method, then the parametrix estimates were established. Zacher [] studied the well-posedness of weak solutions of abstract evolutionary integro-differential equations based on the Galerkin method and energy estimates. Later, Kubica and Yamamoto [] used the same method to obtain well-posedness of weak solutions of fractional diffusion equations with time-dependent coefficients. In [], the authors considered the problem with Caputo derivative on in - framework and then the uniqueness, existence, and -estimates of solutions are obtained. In [], the authors investigated the well-posedness for this problem with time independent elliptic operators but general non-homogenous boundary conditions by mean of an eigenfunction representation involving the Mittag-Leffter functions. For other results for fractional diffusion equations, we refer to [,,,,] and the references therein.
Recently, problem (1) has been the focus of many studies due to its significant application in super-diffusive models of anomalous diffusion such as diffusion in heterogeneous media and viscoelastic problems such as the propagation of stress waves in viscoelastic solids. More specifically, significant development has been made in well-posedness as well as regularity results of the weak solution to fractional wave equations. For example, in [], the authors used Laplace transform to define weak solutions and used the Strichartz estimate to derive its well-posedness. Later, Otárola and Salgado [] also gave a definition of weak solutions similar to that of inter-order cases and established the well-posedness together with regularity estimates. In [,], the authors obtained results on the existence and regularity of local and global weak solutions of semi-linear cases. In [] the authors used integrated cosine family to give the representation of solutions and then provided the existence and regularity results of mild solutions. For other results for fractional wave equations, we refer to [] for existence and regularity, [] for the subordination principle, [] for the global existence of small data solutions, [] for approximate controllability, [] for asymptotic behavior, [] for well-posedness and regularity, and the references therein.
In the literature mentioned on fractional wave equations, the main technique to construct solutions for deriving such existence and regularity results is based on Fourier series, cosine family, or resolvent operators, and solutions are expressed by the Mittag-Leffler functions. In fact, as it is well known, the smoothness of solutions is followed by the properties of Mittag-Leffler functions. The main novelties of the present paper lie in two aspects. Compared with the existing research on fractional wave equations, our analysis is rather general and relies on Galerkin methods and energy arguments, which can be applied to the general problem that Fourier expansive of solutions cannot be used and cannot be converted to ordinary differential equations. Very recently, Huang and Yamamoto [] discussed the well-posedness of initial-boundary value problems for time fractional diffusion-wave equations with time-dependent coefficients using the Galerkin method. On the other hand, in contrast to the classical integer-order case, the main technical difficulty in the rigorous analysis of the well-posedness and regularity of fractional wave equations stems from establishing the energy estimates of the problem. This is mainly due to the fact that integration by parts formula for integer-order derivatives cannot be generalized directly to a fractional-order case and properties of composition and conjugation of the fractional Caputo derivative do not exist. Therefore, we found it more challenging in dealing with the well-posedness and regularity of fractional wave equations.
The paper is organized as follows. In Section 2 we recall some notations, definitions, and preliminary facts used throughout this work. In Section 3 we discuss approximation equations and show the existence of their solutions by means of mollification arguments and the Galerkin methods, which reduce the regularity of coefficients . The energy estimates of approximation solutions are established in Section 4. Finally, we derive the well-posedness and regularity results of fractional wave equations using the weak compactness arguments.
2. Preliminaries
Here we recall some notations, definitions, and preliminary facts which are used throughout this paper.
Let X be a Banach space and . The left Riemann–Liouville fractional integral of order for the function v is defined as
where and ∗ denotes the convolution.
Further, and represent the left Riemann–Liouville fractional derivative and Caputo fractional derivative of order for the function v, respectively, which are defined by
where , denotes the integer part of .
Here we denote by the space of functions v that and . In particular, . It is worth mentioning that if , then the Caputo fractional derivative exists almost everywhere on , which is represented by
For more insight into the topic, see Kilbas et al. [] and Zhou [].
Lemma 1.
([]). If and , then and .
Lemma 2.
Let . If , then we have
for a.e. .
Proof.
If , then exists for a.e. . From the definition of we know that
On the other hand, since , we see that . Thus, the proof is complete. □
Before proceeding further, we state an important lemma, which is a direct consequence of an estimate borrowed from [].
Lemma 3.
Let and H be a real Hilbert space with a scalar product . Assume . Then for any , there holds
for any .
Next, a very significant example is provided which will play a crucial role in the proof of energy estimates.
Example 1.
For , we choose . Then for any and , there holds
The following property presents the lower bound of the uniformly elliptic operator if the function has enough regularity, which was proved by [] (see also []).
Lemma 4.
Assume that is a bounded domain with the boundary of class and (2) holds. If and and , then
where C depends continuously on and the -norm of , and .
We consider the space
Next, we introduce the definition of the weak solution of Equation (1).
Definition 1.
Let and . For given functions and , we say a function
is a weak solution of Equation (1) provided
for each and a.e. .
The vectors and can be regarded as initial data for and at least in a weak sense, respectively. If, for example, , then the condition implies and .
Remark 1.
In view of Definition 1, we know for .
Proof.
Indeed, for with , it follows from Lemma 2 and Hölder’s inequality that
In view of the inequality for and , we calculate the integral
The second term is bounded by . This ensures
The proof is complete. □
3. Approximation Solution
In this section we provide the Galerkin approximate scheme and derive the corresponding existence results. We will suppose initially that
for , where and .
Let be the standard mollifier satisfying
Then we introduce the mollification of the function as
We note first that and if for , then in .
Moreover, we denote by the mollification of , which are defined by
where is the continuation by even reflection to and zero elsewhere, and c are the continuation by zero for , and f is the continuation by odd reflection to and zero elsewhere. Then in for (due to (2)).
Next, we seek approximate solutions for Equation (1) in the form:
where denotes the complete orthonormal system of eigenfunctions which forms an orthogonal basis of such that
For the sake of selecting , one considers the following approximate equation:
where
Let us introduce the time-dependent bilinear form
Taking the scalar product of (5) with for , we obtain
More precisely, we write
Then (6) can be reduced to the following linear differential system for the functions :
Now we consider the nonlinear integral system for the functions
We shall show that system (8) has a unique solution which belongs to . By Lemma 1, then the solution of Equation (8) is also the solution of Equation (7). To accomplish this, we introduce the space
and define a metric on as
It is easy to show that is a complete metric space. We notice that .
Proof.
Consider the operator given by
Then it is well-defined. Indeed, let , then . Further, we immediately take the first and second derivatives of with respect to t to obtain
and
For convenience we let . Then and . We can easily check that and are continuous on , which also ensures that . Therefore it remains to consider the continuity of . It is easy to verify the continuity of the first two components. To deal with the third one we estimate for
On the other hand, from the definition of and , it follows that
From the representation of and , we know that and belong to the space , which yields that and
Thus one can immediately calculate and as follows
and
Finally, for , choosing a sufficient small for , one can derive from the increasing property of and (9) that
It is clear that the second term tends to zero for some sufficient small . Then we choose one of such , it follows from the uniform continuity of (due to the continuity of on ) that for any , there exists with such that . Thus, this yields that the first term can be bounded by , which together with shows that as for .
Therefore, we have for .
Moreover, for , we have
where we have used
Similarly, in view of
we proceed to estimate as follows:
where it is easy to show that due to and (11).
Finally, we will estimate . Taking account of the following inequality
it holds that
where we know from (12) that .
For the sake of convenience, we let
Then one can choose a small enough which ensures that . Therefore, combining (10), (13) with (14), we deduce that
This also shows that the operator is a strict contraction on . It follows that has a fixed point, thus Equation (8) has a unique solution in .
Now, we will deal with the continuation of the solution to the interval . Let us make the assumption that we have obtained the solution of Equation (8) on the interval for . We shall define the solution for with . To accomplish this, we introduce the complete space
with the distance . Let , then . According to the previous proof, we know that , which implies that and . It holds that and then .
Next, we will show that the operator is also a strict contraction on when is sufficiently small. We shall rewrite in the following form:
For , we have and for . Then
This follows from (11) that
Similarly, we obtain
and
Therefore,
Moreover, we can choose one such that is small enough. It also ensures that
4. Energy Estimates
The purpose of this section is to establish some a priori estimates of approximation solutions through a mathematical analysis, which plays an important role in obtaining the main results. We can accomplish this with the following lemma.
Lemma 5.
Proof.
Taking into account Lemma 2, we have
Using Example 1, it follows that
Therefore, we integrate the first equality of Equation (15) with respect to the time variable from 0 to t to obtain that
First, we estimate the third term of the left-hand side of the above inequality. Using the integration by parts with respect to s, we derive that
It follows from that
In addition, in view of the definition of , we know that ; this yields
Therefore, using (2) again, one can obtain that
Next we estimate the upper bound of the right-handed side of (16). For , we use Hölder’s inequality and Young’s inequality to obtain
where we have used for obtained by Evans []. Moreover, can be estimated by Young’s inequality
Let
Then and for each n.
We use the above inequalities in (16) and the decreasing property of to obtain that
For fixed , it follows that
where and , it results from using Gronwall’s inequality that
where is a positive constant depending on , , and T. Therefore, we have for
The claim then follows. □
Lemma 6.
5. Well-Posedness and Regularity
In this section, we take the limit in approximate sequences and present the existence and uniqueness of weak solutions, and then we show the regularity results.
Theorem 2.
Proof. Step 1.
According to the energy estimate in Lemma 5, we see that the sequence is bounded in for , is bounded in , and Lemma 6 implies that the sequence is bounded in . This also implies that is uniformly bounded in . As a consequence there exist with , , and a subsequence of , still denoted by , such that
Since the continuity of in implies weak continuity, it follows that
Next we would like to prove that in a weak sense. We take and . Then
where we have used Lemma 2. Therefore, in a weak sense.
Step 2. Fix an integer and choose a function of the form
where are arbitrary numbers. We select , multiply (6) by and sum it up from 1 to . Then we proceed to multiply the equation by for fixed and integrate with respect to t to discover
For , we recall (20) to find that for a.e. ,
We proceed similarly with the remaining terms. We see that is smooth in . From assumptions thus in , and in when , we obtain
Similarly, since in and in , thus and in , it, together with (19), follows that
Therefore, one can find that
Moreover, we can derive that for a.e. ,
Therefore the following equality holds
for and a.e. , since functions of the form (21) are dense in , then the above equality also holds for all and a.e. .
Finally, we note that
by the assumption of f, we know that uniformly with respect to t as . Therefore, Lemmas 5 and 6 produce estimate (18). □
Remark 2.
If we assume that the coefficients and , then the mollification arguments imposed to the coefficients , and f can be avoided. Similar to the proof that we derived in Theorem 2, the existing result is obtained. For similar results, we also refer to [].
Theorem 3.
Under the assumptions of Theorem 2, we suppose that , . Then a weak solution u of Equation (1) is unique.
Proof.
It suffices to show that the only weak solution of (1) with is . To verify this, fix and set if and if . Then for each and we have
Since , then , and so we obtain after integrating by parts in the first term above
Now for , and then
From Lemma 3 and the decreasing property of we know
Thus,
due to , where
for . Since
and
Hence,
which together with
for , shows that
Since , and , we can derive
Choose so mall that
Then if , we have
Consequently, Gronwall’s inequality implies on . Then on . This, together with the continuity of u, shows on .
We use the same argument on , ,…, and then we can deduce . □
Author Contributions
Investigation, L.P. and Y.Z.; writing—original draft preparation, L.P. and Y.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the National Natural Science Foundation of China (12071396, 12001462) and the General Project of Hunan Provincial Education Department of China (21C0083).
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Herrmann, R. Fractional Calculus: An Introduction for Physicists; World Scientific: Singapore, 2011. [Google Scholar]
- Hilfer, R. Applications of Fractional Calculus in Physics; World Scientific: Singapore, 2000. [Google Scholar]
- Jin, B.T. Fractional Differential Equations: An Approach via Fractional Derivatives; Springer: Cham, Switzerland, 2021. [Google Scholar]
- Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and Applications of Fractional Differential Equations; Elsevier Science B.V.: Amsterdam, The Netherlands, 2006. [Google Scholar]
- Zhou, Y. Basic Theory of Fractional Differential Equations; World Scientific: Singapore, 2014. [Google Scholar]
- Eidelman, S.D.; Kochubei, A.N. Cauchy problem for fractional diffusion equations. J. Differ. Equations 2004, 199, 211–255. [Google Scholar] [CrossRef]
- Zacher, R. Weak solutions of abstract evolutionary integro-differential equations in Hilbert spaces. Funkc. Ekvacioj 2009, 52, 1–18. [Google Scholar] [CrossRef]
- Kubica, A.; Yamamoto, M. Initial-boundary value problems for fractional diffusion equations with time-dependent coefficients. Fract. Calc. Appl. Anal. 2018, 21, 276–311. [Google Scholar] [CrossRef]
- Kim, I.; Kim, K.H.; Lim, S. An Lq(Lp)-theory for the time fractional evolution equations with variable coefficients. Adv. Math. 2017, 306, 123–176. [Google Scholar] [CrossRef]
- Kian, Y.; Yamamoto, M. Well-posedness for weak and strong solutions of non-homogeneous initial boundary value problems for fractional diffusion equations. Fract. Calc. Appl. Anal. 2021, 24, 168–201. [Google Scholar]
- Kemppainen, J.; Siljander, J.; Vergara, V.; Zacher, R. Decay estimates for time-fractional and other non-local in time subdiffusion equations in . Math. Ann. 2016, 366, 941–979. [Google Scholar] [CrossRef]
- Li, L.; Liu, J.G.; Wang, L. Cauchy problems for Keller-Segel type time-space fractional diffusion equation. J. Differ. Equ. 2018, 265, 1044–1096. [Google Scholar] [CrossRef]
- Peng, L.; Zhou, Y.; He, J.W. The well-posedness analysis of distributed order fractional diffusion problems on . Monatshefte Für Math. 2022, 198, 445–463. [Google Scholar] [CrossRef]
- Xi, X.X.; Hou, M.; Zhou, X.F. Existence of global mild solutions for a class of fractional partial functional differential equations. Math. Methods Appl. Sci. 2021, 44, 2343–2354. [Google Scholar] [CrossRef]
- Zhou, Y.; He, J.W.; Ahmad, B.; Tuan, N.H. Existence and regularity results of a backward problem for fractional diffusion equations. Math. Methods Appl. Sci. 2019, 42, 6775–6790. [Google Scholar] [CrossRef]
- Kian, Y.; Yamamoto, M. On existence and uniqueness of solutions for semilinear fractional wave equations. Fract. Calc. Appl. Anal. 2017, 20, 117–138. [Google Scholar] [CrossRef]
- Otárola, E.; Salgado, A.J. Regularity of solutions to space-time fractional wave equations: A PDE approach. Fract. Calc. Appl. Anal. 2018, 21, 1262–1293. [Google Scholar] [CrossRef]
- Alvarez, E.; Gal, C.G.; Keyantuo, V.; Warma, M. Well-posedness results for a class of semi-linear super-diffusive equations. Nonlinear Anal. 2019, 181, 24–61. [Google Scholar] [CrossRef]
- Djida, J.D.; Fernandez, A.; Area, I. Well-posedness results for fractional semi-linear wave equations. Discret. Contin. Dyn. Syst. B 2020, 25, 569–597. [Google Scholar] [CrossRef]
- Keyantuo, V.; Lizama, C.; Warma, M. Existence, Regularity and representation of solutions of time fractional wave equations. Electron. J. Differ. Equations 2017, 222, 1–42. [Google Scholar]
- Bao, N.T.; Caraballo, T.; Tuan, N.H.; Zhou, Y. Existence and regularity results for terminal value problem for nonlinear fractional wave equations. Nonlinearity 2021, 34, 1448–1502. [Google Scholar] [CrossRef]
- Bazhlekova, E.; Bazhlekov, I. Subordination approach to multi-term time-fractional diffusion-wave equations. J. Comput. Appl. Math. 2018, 339, 179–192. [Google Scholar] [CrossRef]
- D’Abbicco, M.; Ebert, M.R.; Picon, T. Global existence of small data solutions to the semilinear fractional wave equation. In New Trends in Analysis and Interdisciplinary Applications; Birkhäuser: Cham, Switzerland, 2017; pp. 465–471. [Google Scholar]
- He, J.W.; Peng, L. Approximate controllability for a class of fractional stochastic wave equations. Comput. Math. Appl. 2019, 78, 1463–1476. [Google Scholar] [CrossRef]
- Kim, K.H.; Lim, S. Asymptotic behaviors of fundamental solution and its derivatives to fractional diffusion-wave equations. J. Korean Math. Soc. 2016, 53, 929–967. [Google Scholar] [CrossRef]
- Zhou, Y.; He, J.W. Well-posedness and regularity for fractional damped wave equations. Monatshefte Für Math. 2021, 194, 425–458. [Google Scholar] [CrossRef]
- Huang, X.; Yamamoto, M. Well-posedness of initial-boundary value problem for time fractional diffusion-wave equation with time-dependent coefficients. arXiv 2022, arXiv:2203.10448. [Google Scholar]
- Ladyzhenskaya, O.A. On integral estimates, convergence, approximate methods, and solution in functionals for elliptic operators. Vestn. Leningrad. Univ. 1958, 13, 60–69. (In Russian) [Google Scholar]
- Evans, L.C. Partial Differential Equations, 2nd ed.; American Mathematical Society: Providence, RI, USA, 2010. [Google Scholar]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).