The quenching of solutions to time-space fractional Kawarada problems
Joshua L Padgett

TL;DR
This paper investigates the behavior of solutions to a fractional Kawarada problem, establishing conditions for quenching based on domain size and demonstrating positivity and monotonicity of solutions.
Contribution
It introduces analysis of quenching in time-space fractional Kawarada problems, highlighting domain size effects and solution properties.
Findings
Quenching solutions depend on domain size.
Solutions remain positive and increase monotonically.
Conditions for quenching are explicitly demonstrated.
Abstract
Quenching solutions to a Kawarada problem with a Caputo time-fractional derivative and a fractional Laplacian are considered. The solutions to such problems may only exist locally in time when quenching occurs. Quenching and non-quenching solutions are shown to remain positive and be monotonically increasing in time under minor restrictions. Conditions for quenching to occur are demonstrated and shown to depend on the domain size.
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The quenching of solutions to time-space fractional Kawarada problems
Joshua L. Padgett
Texas Tech University, Department of Mathematics and Statistics, Broadway and Boston, Lubbock, TX 79409-1042
Abstract
Quenching solutions to a Kawarada problem with a Caputo time-fractional derivative and a fractional Laplacian are considered. The solutions to such problems may only exist locally in time when quenching occurs. Quenching and non-quenching solutions are shown to remain positive and be monotonically increasing in time under minor restrictions. Conditions for quenching to occur are demonstrated and shown to depend on the domain size.
keywords:
Kawarada problem , quenching solution , Caputo derivative , fractional Laplacian , local existence and uniqueness , positivity and monotonicity
1 Introduction
The purpose of this paper is to investigate the quenching phenomenon of a time-space fractional semilinear equation. Let be an open bounded domain in with smooth boundary We then define and the parabolic boundary Consider the following nonlocal Kawarada problem:
[TABLE]
where denotes the Caputo time-fractional derivative of order and is the fractional Laplacian with and the continuous initial data is such that The nonlinear reaction term where and is a given continuous, convex function satisfying a local Lipschitz condition on That is, for there exists a continuous function such that
[TABLE]
The norm will be defined in the following section. We further assume that is a monotonically increasing function on and
[TABLE]
When reduces to the following local semilinear problem
[TABLE]
which was originally studied by Kawarada [9]. This local problem has been well-studied due to the fact that it models several idealized physical phenomena, including solid-fuel combustion and microelectromechanical systems (MEMS) [15, 8, 3, 11, 17, 16, 10]. For , it is known that under certain conditions monotonically increasing solutions to the problem may only exist locally [16, 17, 12, 1]. Further, it is known that for a given function the existence of global solutions to depends on the spatial domain size and shape [2, 23, 16]. We say that two dimensional spatial domains and have the same shape if there exists and a constant such that
[TABLE]
Thus, for a fixed domain shape, determining whether global solutions to exists, reduces to studying the following steady-state problem
[TABLE]
The existence of a unique positive solution to depends on the value of and thus, there is a critical domain size that determines whether the classical Kawarada problems emits a global solution [2]. That is, there is a associated to such that if then the solution exists globally, and if then there exists a time such that the maximal interval of existence for the solution is In this latter case, the solution is said to quench in finite time. For the case when we say that the solution quenches in infinite time, as
The purpose of this current study is to extend some of the existing results for to the nonlocal problem . We note that this extension is not simply an interesting mathematical problem, but is motivated by numerous physical applications. That is, there have been numerous recent works which outline the importance of fractional and nonlocal models in the accurate modeling of multiphysics problems exhibiting anomalous diffusion [4, 7, 19, 20]. In particular, solid-fuel combustion has been shown to behave in a nonlocal manner, thus necessitating the need for considerations of such mathematical models [18].
In order to study the problem , we introduce the following definition of quenching in the nonlocal setting.
Definition 1.1**.**
A solution of is said to quench in finite time if there exists such that
[TABLE]
If holds for then is said to quench in infinite time. is referred to as the quenching time. The set containing all quenching points is called the quenching set.
The paper is organized as follows. In the following section we introduce some important mathematical preliminaries, which are vital to the current study. In Section 3 we consider properties of the operators which generate the solution to . In Sections 4 and 5 we determine conditions under which there exists unique continuous solutions to that are both positive and monotonically increasing on the domain of existence. Section 6 is concerned with establishing conditions under which quenching occurs. Section 7 provides some computational experiments to validate the results and provide further insight into the quenching phenomenon. Finally, Section 8 provides concluding remarks regarding the current work.
2 Mathematical Preliminaries
We now introduce some basic facts and definitions from fractional calculus. In the following, we let and be Euler’s gamma function. Further, for we define the following function
[TABLE]
with
Definition 2.1**.**
Let and The Riemann-Liouville fractional integral of order of is defined as
[TABLE]
where
Definition 2.2**.**
Let and where and The Riemann-Liouville fractional derivative of order of is defined by
[TABLE]
where
Definition 2.3**.**
Let and where and The regularized Caputo fractional derivative of order of is defined as
[TABLE]
where If is continuously differentiable with respect to then as
We note that for if is smooth enough, the Caputo fractional derivative can be written as
[TABLE]
We now summarize some useful properties from fractional calculus in the following lemma [19, 20, 24].
Lemma 2.1**.**
Let Then the following properties hold.
- i.
* for all That is to say, the Riemann-Liouville fractional integral has the semigroup property;*
- ii.
The Caputo fractional derivative is a left inverse of the Riemann-Liouville fractional integral:
[TABLE]
but in general is not a right inverse. In fact, for all with where and we have
[TABLE]
In order to appropriately introduce the fractional Laplacian considered in this paper, we first define some fractional Sobolev spaces of particular importance. For with smooth boundary, and we define the space as
[TABLE]
where and If we define to be the seminorm given by
[TABLE]
then it follows that is a Hilbert space with norm [22, 14]. We define the space to be the closure of with respect to the norm Since is smooth, it follows that we can define the aforementioned fractional Sobolev spaces via interpolation spaces of index [14]. That is, for we have
[TABLE]
i.e., is the intermediary Banach space between and Further, we can define the spaces to be
[TABLE]
The definition of the fractional Laplacian on is given as follows.
Definition 2.4**.**
Let be the class of Schwartz functions. Then for any we define the fractional Laplacian of order of as
[TABLE]
where is the normalizing constant given by
[TABLE]
It is the case that there is not a unique way of extending the definition of the fractional Laplacian to a bounded domain An exploration of the properties of different definitions and their relationships can be found in [22]. In this study, we adopt a functional calculus definition of the fractional Laplacian via the Dirichlet Laplacian. That is, let be the classical Laplacian with domain It is known that this operator is unbounded, closed, and has a compact inverse. Thus, the spectrum of is discrete, positive, and accumulates at infinity. Moreover, there exists such that is an orthonormal basis of and
[TABLE]
Thus, we can define the fractional Laplacian, for to be
[TABLE]
where The definition can be extended to the Hilbert space
[TABLE]
via density arguments. Further, we have that
[TABLE]
for This gives us the following characterization of the space
[TABLE]
Finally, we introduce an important class of functions associated with fractional calculus, known as the Mittag-Leffler functions [24, 19].
Definition 2.5**.**
Let with Then we may define the generalized Mittag-Leffler function to be
[TABLE]
where is a contour which starts at and encircles the disc counterclockwise.
For we have the following asymptotic expansion of as
[TABLE]
where
[TABLE]
From the above, for any we have
[TABLE]
That is, the function is the eigenfunction corresponding to the Caputo fractional derivative. Thus, may be viewed as a generalization of the standard exponential function in the integer derivative case. This is further supported by the fact that Consider also the Wright function given by
[TABLE]
with Then we have the following lemma.
Lemma 2.2**.**
Let For the following results hold.
- i.
* *
- ii.
**
- iii.
**
- iv.
**
- v.
**
The proof of Lemma 2.2 may be found in [24]. The properties from Lemma 2.2 will be useful in deriving bounds for the operators generating the solution to .
3 Properties of the Solution Operators
Throughout this section we assume that and we define the Banach space with norm Let and be the spectrum and resolvent set of the operator respectively. It follows from , that generates a Feller semigroup that has the following Dunford-Riesz representation
[TABLE]
where is any contour containing and is the resolvent operator defined as We now define the family of operators and to be
[TABLE]
[TABLE]
where is any contour containing
We have the following useful properties of the operators and
Theorem 3.1**.**
For each fixed and are linear and bounded operators on Moreover, we have the following bounds for all
[TABLE]
Proof.
The proof follows methods similar to those employed in [24], where we introduce sharper bounds based on the given operator We note that the operators are well-defined linear bounded operators on via . Thus, we simply need to show that holds for all For we have for any
[TABLE]
by iv. of Lemma 2.2, ii. of Lemma 3.1, and Fubini’s theorem. Thus, by iii. of Lemma 2.2 and the fact that is a contraction, we have
[TABLE]
as desired. Now, an argument similar to the above gives
[TABLE]
Once again, by iii. of Lemma 2.2 and the fact that is a contraction, we have
[TABLE]
for as desired. Thus, the estimate holds.
The family of operators and are well-studied families of operators with numerous useful properties. Of particular interest are the studies connecting resolvent and resolvent operators to the solution operators of fractional Cauchy problems [13]. Other useful properties of these families are outlined in the following lemma.
Lemma 3.1**.**
The operators and have the following properties.
- i.
* and are strongly continuous.*
- ii.
For every and are compact operators.
- iii.
* and is locally integrable on for *
- iv.
For all we have
- v.
For all we have
The proof of Lemma 3.1 may be found in [24].
4 Local Existence and Uniqueness
In order to investigate the existence and uniqueness of we recast the problem into the setting of a Banach space by considering
[TABLE]
where and We further note that has the norm We now define our notion of solution when considering .
Definition 4.1**.**
A function is a mild solution to if and for any
[TABLE]
We now demonstrate the local existence and uniqueness of the solution to via the Banach fixed point theorem.
Theorem 4.1**.**
There exists a such that has a unique mild solution on the interval
Proof.
Let be fixed and consider the set
[TABLE]
We note that the set is a nonempty closed subset of Hence, is a Banach space with norm For any we define as
[TABLE]
In order to apply the Banach fixed point theorem, we must show that is actually a contraction mapping into Since it suffices to show that We first note that
[TABLE]
by . Since is Lipschitz continuous, it follows from that
[TABLE]
for We then have the following bound
[TABLE]
where we have employed the growth condition and the bound from Theorem 3.1. Combining and gives
[TABLE]
by choosing choosing where
[TABLE]
Thus, on
Next we must show that is a contraction in To that end we have
[TABLE]
It then follows that
[TABLE]
Thus, is a contraction on for if
[TABLE]
Let Then we have that has a unique fixed point in for via the Banach fixed point theorem. Thus, has a unique mild solution on
Remark 4.1*.*
We note that the solution can be extended in time as long as and the solution only ceases to exist once
5 Solution Positivity and Monotonicity
Classical studies regarding the integer order Kawarada equations have often considered the solution positivity and monotonicy [15, 17, 16, 8]. These properties are critical in many situations modeled by these equations, such as solid-fuel combustion [3]. To that end, we determine conditions under which the continuous solution to is positive and monotone on its interval of existence.
Positivity of the solution to is relatively straightforward to verify. We summarize the result with the following lemma.
Lemma 5.1**.**
The solution to given by is positive on its interval of existence.
Proof.
Recall . Then we have the following representation of
[TABLE]
By i. of Lemma 2.3, we have that and we have that is positive for by definition. By the assumption that it follows that is nonnegative.
Similarly, by recalling , we have the following representation of
[TABLE]
A similar argument gives that is a nonnegative operator for since Thus, it follows that
[TABLE]
is positive for The result follows by the fact that the sum of these operators will preserve positivity.
Remark 5.1*.*
From Lemma 5.1 we are also able to conclude that is the minimum value that the continuous solution to can attain. When the conclusion is clear. If then we may define where solves . Then satisfies the following problem
[TABLE]
The continuous solution to is given by
[TABLE]
which gives for all This means that for all which gives that is the minimum of the solution to . In particular, this means that for since is monotonically increasing.
We now derive conditions under which the continuous solution to is monotonically increasing with respect to time on its interval of existence. It is worth noting that in the case when it has been shown that a sufficient condition to guarantee monotonically increasing solutions is
[TABLE]
Classical proofs of this result, however, have required the differentiability of the reaction function [11, 12]. The following theorem develops a monotonicity result that does not require the differentiability of the reaction function
Theorem 5.1**.**
Assume that Then the solution to is monotonically increasing with respect to time on its interval of existence. That is, the sequence is a strictly increasing sequence of functions.
Proof.
Let be a continuous solution to , or similarly , given by . We proceed by considering the difference between and for First, note that
[TABLE]
for some By iii. of Lemma 3.1, we have Hence, by we have
[TABLE]
where the fact that and commute for all follows by the definition of
We now consider the difference of the integrals in the continuous solutions. By noting that for all (see Remark 5.1), we have
[TABLE]
where the above integration is well defined since is compact.
Thus, combining and we have
[TABLE]
Monotonicity follows from the assumption that
Remark 5.2*.*
We note that the restriction is not unreasonable. This is clear from the fact that letting results in
6 Finite Time Quenching
In this section we show that the local in time solution to cannot always be extended to a global in time solution. This fact is well established in the cases for and also recently for and [9, 8, 11, 12, 21]. We now show that this result holds in a similar manner for any The key is demonstrating a relationship between the existence of solutions to and weak solutions to the following stationary problem
[TABLE]
such that A function is called a weak solution to if
[TABLE]
for a.e. in where is the Green’s function associated to the spectral fractional Laplacian with zero Dirichlet conditions on [5, 6].
Let be the largest open ball contained in Without loss of generality, we further assume that is centered at the origin. We begin by establishing results for and on We will proceed in a manner similar to [12].
Lemma 6.1**.**
Let be as above and consider and on A solution to exists globally if and only if there exists a weak stationary solution to . Moreover, in this case the solution to approaches the minimum solution to monotonically from below as
Proof.
Suppose that there is a solution of . We begin by assuming that is symmetric and monotonically decreasing about the origin in Thus, it follows that the solution of and of are both radially symmetric and monotone decreasing about the origin [6]. Then there is a maximum of both and occurring at Let and consider
[TABLE]
where is a bounded function resulting from the convexity of the function By and Lemma 5.1 we can conclude that for and
We will show that must exist globally if exists. Note that which implies that It can be shown that since and both have a maximum at then also is maximized at For the sake of a contradiction, assume that there is a such that the maximal interval of existence of is By Theorem 4.1, this implies that Moreover, since and the fact that is maximized at gives uniformly on Consider It follows that on and satisfies with By considering and Theorem 4.1 again, we conclude that for This is a contradiction, and thus, and is a global solution to on
Now let be arbitrary and nonnegative. We can then choose a function such that is symmetric and radially decreasing in in and on A modification of the above arguments by considering and with gives a similar conclusion regarding the existence of a global solution to if a solution to exists.
Now assume that is a global solution to . Let
[TABLE]
where is the Green’s function associated to . Then we have
[TABLE]
where is valid for as long as and the integration by parts formula for the fractional Laplacian has been applied to obtain . Since and are both monotonically increasing, it follows that the expression in converges and can be expressed as
[TABLE]
where From we have that Note that if it would follow that as and hence, would reach in finite time. Since this would be a contradiction to our assumption that exists globally, we have that Thus, after rearranging the expression for we have
[TABLE]
and is a weak solution to . This conclusion gives the desired result.
Lemma 6.1 only gives an equivalence between global solutions and stationary solutions on open balls. The following result will aid in extending this result to arbitrary domains.
Lemma 6.2**.**
Let be a bounded convex domain with smooth boundary and let be an open ball such that Let and be solutions of on and respectively. Further, let and Then for
Proof.
Without loss of generality, assume is an open ball centered at the origin. Define Then we have
[TABLE]
where is bounded and positive in By it follows that By it follows that and thus, for
It follows that a solution to can only quench if the domain is “large” enough. This result is summarized by the following theorem.
Theorem 6.1**.**
If there exists an open ball such that and does not exist on then the solution to quenches.
Proof.
Without loss of generality, assume that is an open ball containing the origin. The result follows immediately from Lemmas 6.1 and 6.2.
7 Conclusions and Future Work
This article has studied a time-space fractional semilinear equation which is the generalization of the standard Kawarada equation. Herein, the fractional Caputo derivative is used in time, while the fractional Laplacian is considered in space. It is shown that the standard properties exhibited by the local Kawarada equation may be extended to the nonlocal equation of interest. In particular, under appropriate restrictions, the solution to the fractional Kawarada equation is positive and monotonically increasing on its domain of existence. Moreover, it is shown that there are conditions under which the solution will quench in finite time. These conditions depend on the domain size and shape, as well as the nonlinear reaction term.
The current study has only considered the theoretical aspects of this problem, but it is well known that the numerical and computational aspects of fractional problems yield even more difficult hurdles. While these issues are not considered herein, they are of interest and will be the topic of forthcoming works. It is known that the nonlocal nature of the problem and quenching phenomenon must be treated carefully while also avoiding unnecessary memory issues during computations. Moreover, it will be of interest whether splitting methods, such as the Alternating Direction Implicit Method, can be employed to improve efficiency and accuracy in such nonlocal problems. This direction of research is still in its infancy and will likely provide interesting mathematical problems for years to come.
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The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A. Acker and W. Walter. The quenching problem for nonlinear parabolic differential equations. Ordinary and Partial Differential Equations , pages 1–12, 1976.
- 2[2] C. Y. Chan. Computation of the critical domain for quenching in an elliptic plate. Neural Parallel Scientific Comput. , 1:153–162, 1993.
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- 6[6] P. Felmer and Y. Wang. Radial symmetry of positive solutions to equations involving the fractional Laplacian. Communications in Contemporary Mathematics , 16(01):1350023, 2014.
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- 8[8] N. I. Kavallaris, T. Miyasita, and T. Suzuki. Touchdown and related problems in electrostatic MEMS device equation. Nonlinear Differential Equations and Applications No DEA , 15(3):363–386, Oct 2008.
