we devote to investigate the quenching phenomenon for a reaction-diffusion system
with coupled singular absorption terms,
,
. The solutions of the system quenches in finite time for any initial data are obtained,
and the blow-up of time derivatives at the quenching point is verified. Moreover,
under appropriate hypotheses, the criteria to identify the simultaneous and nonsimultaneous
quenching are found, and the four kinds of quenching rates for different nonlinear
exponent regions are given. Finally, some numerical experiments are performed, which
illustrate our results.
1. Introduction
This paper deals with the following nonlinear parabolic equations with null Neumann boundary conditions:
(11)where
for
,
is a bounded domain with smooth boundary, the initial data
and
are positive, smooth, and compatible with the boundary data.
Because of the singular nonlinearity inner absorption terms of (1.1), the so-called
finite-time quenching may occur for the model. We say that the solution
of the problem (1.1) quenches, if there exists a time
(
denotes the quenching time,
denotes quenching point), such that
(12)For a quenching solution
of (1.1), the inf norm of one of the components must tend to
as
tends to the quenching time
. The case when
quenches and
remains bounded from zero is called non-simultaneous quenching. We will call the
case, when both components
and
quench at the same time, as simultaneous quenching. The purpose of this paper is
to find a criteria to identify simultaneous and non-simultaneous quenching for (1.1)
and then establish quenching rates for the different cases.
In order to motivate the main results for system (1.1), we recall some classical results for the related system. de Pablo et al., firstly distinguished non-simultaneous quenching from simultaneous one in [1]. They considered a heat system coupled via inner absorptions as follows:
(13)Recently, Zheng and Wang deduced problem (1.3) to
-dimensional with positive Dirichlet boundary condition in [2]. Then, Zhou et al. have given a natural continuation for problem (1.3) beyond quenching
time
for the case of non-simultaneous quenching in [3].
Replacing the coupled inner absorptions in (1.1) by the coupled boundary fluxes, one gets
(14)Recently, the simultaneous and non-simultaneous quenching for problem (1.4), and what is related to it, was studied by many authors (see [4–7] and references therein).
In order to investigate the problem (1.1), it is necessary to recall the blow-up problem of the following reaction-diffusion system:
(15)with positive powers
has been extensively studied by many authors for various problems such as global
existence and finite time blow-up, Fujita exponents, non-simultaneous and simultaneous
blow-up, and blow-up rates, (see [8–10] and references therein). However, unlike the blow-up problem, there are less papers
consider the weakly coupled quenching problem like (1.1), differently from the generally
considered, there are two additional singular factors, namely,
and
for the inner absorptions of
and
, respectively. In this paper, we will show real contributions of the two additional
singular factors to the quenching behavior of solutions. Our main results are stated
as follows.
Theorem 1.1.
If
and
, then the solution of the system (1.1) quenches in finite time for every initial
data.
On the other hand, some authors understand quenching as blow-up of time derivatives while the solution itself remains bounded (see [11–13]). In present paper, we assume that the initial data satisfy
(16)Theorem 1.2.
Let
and the radial initial function satisfies (1.6), then
blows up in finite time.
Next, we characterize the ranges of parameters to distinguish simultaneous and non-simultaneous
quenching. In order to simplify our work, we deal with the radial solutions of (1.1)
with
, and the radial increasing initial data satisfies (1.6). Thus we, see that
is the only quenching point (see [2, 14]). Without loss of generality, we only consider the non-simultaneous quenching with
remaining strictly positive, and our main results are stated as follows.
Theorem 1.3.
If
and
, then any quenching in (1.1) must be simultaneous.
Theorem 1.4.
If
and
, then any quenching in (1.1) is non-simultaneous with
being strictly positive.
Theorem 1.5.
If
and
, then both simultaneous and non-simultaneous quenching may occur in (1.1) depending
on the initial data.
Remark 1.6.
In particular, if we choose
, then we obtain that the ranges of parameters to distinguish simultaneous and non-simultaneous
quenching coincide with the problem (1.3) (see [1, 2]). Moreover, this criteria to identify the simultaneous and non-simultaneous quenching
is the same with the problem (1.4) which coupled boundary fluxes (see [6]). This situation also happens for the blow-up problem (see [8, 10, 15]).
Next, we deal with quenching rates. To state our results more conveniently, we introduce
the notation
which means that there exist two finite positive constants
such that
, and the two parameters
and
verifying
(17)or equivalently,
(18)In terms of parameters
and
, the quenching rates of problem (1.1) can be shown as follow.
Theorem 1.7.
If quenching is non-simultaneous and, for instance,
is the quenching variable, then
.
Theorem 1.8.
If quenching is simultaneous, then for
close to
, we have
(i)
for
,
or
;
(ii)
for
and
;
(iii)
for
and
.
The plan of this paper is organized as follows. In Section 2, we distinguish non-simultaneous quenching from simultaneous one. The four kinds of non-simultaneous and simultaneous quenching rates for different nonlinear exponent regions are given in Section 3. In the Section 4, we perform some numerical experiments which illustrate our results.
2. Simultaneous and Non-Simultaneous Quenching
Proof of Theorem 1.1.
Assume that
is the classical solution of (1.1) with the maximal existence time
. The maximum principle implies
and
in
. Let
. Hence, integrating (1.1) in space and using Green's formula, we have
(21)Consequently,
(22)Thus, the solution of the problem (1.1) quenches in finite time. The prove of Theorem 1.1 is complete.
In order to prove Theorem 1.2, we need the following Lemma.
Lemma 2.1.
Assume that
and the radial nondecreasing initial data satisfy (1.6), then there exists a small
such that
(23)Proof.
Let
. Thus,
(24)Since
and
are radial and nondecreasing in
, we have
. A similar computation holds for
, and we obtain
(25)with boundary conditions
(26)From (1.6), it is easy to deduce
in
(see [13, 14]). Choosing
small enough, we have that the initial data verifying
(27)Hence, by the comparison result, we derive that
(28)This proves Lemma 2.1.
Proof of Theorem 1.2.
This theorem is the direct result of Theorem 1.1 and Lemma 2.1.
Next, we characterize the ranges of parameters to distinguish simultaneous and non-simultaneous
quenching. By the hypothesis on the initial data, we obtain
and
for
(see [2, 14]). We collect the estimates of the time derivatives obtained before. Clearly, the
only quenching point is
(see [2]), we only care for the original point,
(29)
(210)Proof of Theorem 1.3.
We argue by contradiction. Assume that there exists
such that
on
and
quenching at the time
. Through (2.10), we have
, integrating from
to
we get
. Together with (2.9) we have
. Integrating in
, we obtain
(211)If
, we have the left hand of the above inequality diverged. So, we get a contradiction.
The proof of Theorem 1.3 is finished.
Proof of Theorem 1.4.
First, assume that
and
. Combining (2.9) with (2.10), we get
(212)Since
, integrating the first inequality in the (2.12) from
to
, we have
(213)where
are positive constants, the above inequality requires that
remains positive up to the quenching time. The case
can be treated in an analogous way. The proof of Theorem 1.4 is complete.
Proof of Theorem 1.5.
If
and the initial data
on
, thus, it is easy to see that for problem (1.1) simultaneous quenching occurs.
On the other hand, we want to choose
small in order that the quenching time
(through Theorem 1.1, we get
) be so small that
does not have time to vanish.
Let
be fixed. From
in
, we obtain
(214)Together with the estimate (2.12), we get
(215)Integrating in
, we obtain
(216)It is easy to see that the last term of the above inequality is strictly positive,
if
is small enough and
, therefore, we prove that under the condition
and
, for the solution of (1.1) non-simultaneous quenching may occur. The proof of Theorem
1.5 is complete.
3. Quenching Rates
In this section, we deal with the all possible quenching rates in model (1.1).
Proof of Theorem 1.7.
Under the condition of Theorem 1.7, it holds that
. By (2.10), we have
(31)Thus,
(32)The proof of Theorem 1.7 is complete.
Proof of Theorem 1.8.
(i) Assume that the quenching of problem (1.1) is simultaneous with
, integrating (2.12) yields
(33)where
. Since we assume that
quench at
, we have
as
.
On the other hand, from
and
, we get, a positive constant
such that
(34)Similarly, we can show that there exists a positive constant
such that
(35)Consequently,
(36)Recalling the estimates (2.9) and (2.10), we obtain
(37)Integrating from
to
, we get
(38)If
and
, we deduce the quenching rate by a bootstrap argument. First, by (2.9), we get
, it follows that
. Employing (2.10), we get
, that is,
. Repeating this procedure, we obtain
,
, where
satisfy
(39)One can check that
(
define by (1.8)), and the all positive constants
are bounded. Therefore, passing to the limit, we get
. The reverse inequalities can be obtained in the same way.
(ii) If
and
, we have
. It is easy to see that
as
, from (2.9) and (2.10), we obtain
(310) (iii) If
and
, from (2.9), we get
(311)Recalling the estimate (2.10), we get
(312)that is,
(313)Let
, we have
(314)It is known that the incomplete Gamma function
satisfies
for
. With
, we obtain
(315)and hence,
(316)Next, we deduce the behaviour for
. Combining with (2.9) and (3.16), we have
(317)Integrating from
to
,
(318)Setting
, we get
(319)For the incomplete Gamma function
with
, we obtain
(320)The proof of Theorem 1.8 is complete.
4. Numerical Experiments
In this section, we perform some numerical experiments, which illustrate our results.
Now we introduce the numerical scheme for the space discretization, we discretize
applying linear finite elements with mass lumping in a uniform mesh for the space
variable and keeping
continuous, it is well known that this discretization in space coincides with the
classic central finite difference second-order scheme, (see [16]), Mass lumping is widely used in parabolic problems with blow-up and quenching,
(see, e.g., [17, 18]).
Let us consider the uniform partition of size
of the interval
, (
), and its associated standard piecewise linear finite element space
. The semidiscrete approximation
obtained by the finite element method with mass lumping is defined as
(41)where the superindex
denotes the Lagrange interpolation.
We denote with
the values of the numerical approximation at the nodes
and the time
. Thus,
(42)where
is the standard base of
. Then
satisfies the following ODE system:
(43)where
is the mass matrix obtained with lumping,
is the stiffness matrix, and
is the Lagrange interpolation of the initial datum
.
We take
and
. Writing the system (4.3) explicitly, we get the following ODE system:
(44)where
and
. In order to show the evolution in time of a numerical solution, we chose
,
, and
which will be choose later.
First, we consider the case
, and the initial data
, We observe that the solutions of (1.1) quenching only at the origin, if the symmetric
initial data with a unique minimum at
(see Figure 1), and the quenching is simultaneous (see Figure 2); If we take
, and the same initial data (see Figures 3 and 4), then we obtain the results which accords with Theorem 1.3.
Figure 1. The value of the solution at the quenching time
.
Figure 2. Evolution at the point
of the solution
.
Figure 3. The value of the solution at the quenching time
.
Figure 4. Evolution at the point
of the solution
.
Next, we take
with the same initial data
. In this case the quenching in (1.1) is non-simultaneous with
being strictly positive (see Figure 5); If we choose
with the initial data
(see Figure 6), then we can see that our results coincide with Theorem 1.4.
Figure 5. Evolution at the point
of the solution
.
Figure 6. Evolution at the point
of the solution
.
Finally, we choose
In Figure 7, we take the initial data
, and in Figure 8 we take the different initial data both equal to
, we can see that both non-simultaneous quenching and simultaneous quenching may occur
in (1.1), depending on the initial data.
Acknowledgments
This work is supported in part by NSF of China (10771226) and in part by Innovative Talent Training Project, the Third Stage of "211 Project", Chongqing University, Project no.: S-09110.
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Figure 7.
of the solution
.
Figure 8.
of the solution
.