On the continuity of solutions to doubly singular parabolic equations
Qifan Li

TL;DR
This paper proves local continuity of bounded weak solutions to a class of doubly singular parabolic equations with a time derivative singularity, especially as the parameter p approaches 2, ensuring stability of solutions.
Contribution
It establishes the local continuity of solutions for a range of p values close to 2, extending understanding of regularity in doubly singular parabolic equations.
Findings
Solutions are locally continuous for 2−ε₀ ≤ p < 2.
Continuity is stable as p approaches 2.
Results apply to equations with singularities in the time derivative.
Abstract
This paper considers a certain doubly singular parabolic equations with one singularity occurs in the time derivative, whose model is \begin{equation*} \partial_t\beta(u)-\operatorname{div}|Du|^{p-2}Du\ni0,\qquad \text{in}\quad \Omega\times(0,T)\end{equation*} where and . We show that the bounded weak solutions are locally continuous in the range provided is small enough, and the continuity is stable as .
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Taxonomy
TopicsNonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering · Nonlinear Differential Equations Analysis
On the continuity of solutions to doubly singular parabolic equations
Qifan Li
* Department of Mathematics
School of Sciences
Wuhan University of Technology
430070, 122 Luoshi Road, Wuhan, Hubei
P. R. China
[email protected], [email protected]
Abstract.
This paper considers a certain doubly singular parabolic equations with one singularity occurs in the time derivative, whose model is
[TABLE]
where and . We show that the bounded weak solutions are locally continuous in the range
[TABLE]
provided is small enough, and the continuity is stable as .
Key words and phrases:
Two phase Stefan problem, Singular parabolic equations, Phase transition.
2010 Mathematics Subject Classification:
Primary 35R05, 35R35, 35D30; Secondary 35K59, 35K92.
1. Introduction
The aim of this paper is to establish a continuity result for solutions to singular parabolic equations related to the two phase Stefan problems of the type
[TABLE]
Here, the set denotes the cylinder over an open bounded domain with dimension , and the function is defined by
[TABLE]
where is a given constant. The vector field is measurable in and satisfy the structure conditions:
[TABLE]
where and are given positive constants. No attempt has been made here to discuss the equations with lower order terms. A motivation for this study comes from phase transitions for the material obeying a Fourier’s law (see [7, 8, 9]). The continuity of weak solutions for the case was first proved by Caffarelli and Evans [2]. This result was extended by DiBenedetto [4] to the quasilinear equations with general structure. The proof is based on the De Giorgi’s technique and a construction of logarithmic functions to prove the expansion of positivity in time direction. Furthermore, Urbano [10] established the continuity result for the degenerate case by using the De Giorgi’s technique together with the intrinsic scaling method. This idea goes back at least as far as [4].
The treatment of the singular case is much more difficult. This problem was studied by Henriques and Urbano [6]. They introduced the intrinsic parabolic cylinders of the form
[TABLE]
and use this kind of cylinders to perform alternative arguments. However, we point out that there is a gap in the proof of Lemma 1 ([6, page 930, line 8]). The integral involving the term must be multiplied by a factor due to the chain rule. If we multiply such factor, the constant in [6, page 927] will depend upon which is so small that we cannot determine the number in terms of (see [6, Lemma 4, page 938, line -1]). Of course, this is not meant to diminish the importance of Henriques and Urbano’s pioneering work, but rather to point out that it does not resolve the problem and a correct proof is also needed.
In this work, we try to find an idea to overcome the difficulty mentioned above. We shall use the following intrinsic parabolic cylinders
[TABLE]
for the alternative arguments. Since the length of the time interval is too large, we cannot simply use the idea from [6, Lemma 4]) to determine the quantity and the analysis of the second alternative is much more delicate. In order to obtain a result of expansion positivity in such large time interval, we shall apply an iterative argument. However, our approach only works for the range where is a small positive constant depending only upon the data. We have to impose this artificial condition, because the integrals involving the quantity , where is a logarithmic function, are too large in the singular range. Moreover, we can also show that the continuity is stable as . As for the proof of the full range , we leave this problem open to the further study.
An outline of this paper is as follows. We provide some preliminary material and state the main result in §2, while §3 provides an exposition of Caccioppoli estimates. In §4, we introduce the intrinsic parabolic cylinders for the alternative arguments and get started the proof of the main result. §5 is devoted to the analysis of the first alternative. We obtain a decay estimate for the oscillation of weak solution in a smaller cylinder. Subsequently, §6 is intended to prove a similar estimate in the second alternative. Finally, in §7, we finish the proof of the main result by a recursive argument.
2. Preliminary material and main result
We follow the notation of [5]. Throughout the paper, denote a bounded open set in with and is the associated space-time cylinder. We let stand for the differentiation with respect to the space variables and let denote the time derivative. The derivatives are teken in the weak sense. Points in will be denoted by , where and . We shall use cubes of the form
[TABLE]
Concerning parabolic cylinders, we use the cylinders of the form . Let be the boundary of and denotes the parabolic boundary of . Let , we construct the piecewise smooth function, with in , and , by
[TABLE]
where and
[TABLE]
We set for the Sobolev space of weakly differentiable functions with . Similarly, a function if for all compact set . We denote by the closure of with respect to the norm in . For any and a function , the truncations are defined by
[TABLE]
Let be a Banach space and . We write for the space of integrable functions from into , which is a Banach space with the norm
[TABLE]
Moreover, we write for space of functions for all intervals . Let us denote by the space of locally continuous functions from into . Finally, we denote by the set of functions
[TABLE]
We are now ready to give the definition of the weak solution to the doubly singular parabolic equations (1.1)-(1.3):
Definition 2.1**.**
A function is said to be a local weak solution of (1.1)-(1.3), if
[TABLE]
and there exists a function , with the inclusion being intended in the sense of the graphs, such that the identity
[TABLE]
holds for all testing functions and all intervals .
Throughout the paper, we assume that the weak solution is bounded and its time derivative is locally square integrable. To be more precise, we assume that
[TABLE]
and the time derivative exists and satisfies
[TABLE]
The statement that a constant depends only upon the data, means that it can be determined a priori only in terms of . Since we are concerned about the behaviour of constants as , exponent should be excluded from the concept of the data. We can now state our main result:
Theorem 2.2**.**
There exists a constant , that can be determined a priori only in terms of the data, such that the following holds: Let be a weak solution to the singular parabolic equation (1.1)-(1.3) with . Suppose that the assumptions (2.4) and (2.5) are in force. Then the weak solution is locally continuous and the continuity is stable as .
Finally, we collect here two results regarding Sobolev inequalities that will be of use later.
Lemma 2.3**.**
[5, Chapter I, Proposition 2.1]** Let be a bounded convex set and let satisfy and the sets are convex for all . Let with and assume that . Then there exists a constant depending only upon , such that
[TABLE]
Lemma 2.4**.**
[5, Chapter I, Proposition 3.1]** Let be a bounded set and . Assume that and . Then there exists a constant depending only upon such that
[TABLE]
Proof.
We only need to check that the constant is independent of . For any fixed , we apply [7, Page 64 (2.13)] to obtain
[TABLE]
since and . Based on the argument of DiBenedetto [5, page 8], we obtain
[TABLE]
where the constant on the right-hand side is independent of . ∎
3. Local energy estimates
In this section we state two energy estimates for the cutoff functions where is a fixed number. From the assumption (2.5), the time derivative exists in the weak sense and square integrable. This enables us to proceed similarly to the discussions in [4, page 133]. To this end, we introduce the auxiliary function
[TABLE]
and the weak form (2.3) can be rewritten as
[TABLE]
where and . The appearance of the first two terms in (3.1) is due to the singularity in time derivative and this can cause an extra difficulty in the proof. From now on, we denote the first two terms in (3.1) by the quantity
[TABLE]
Let and be a cube centered at origin such that . We denote by a piecewise smooth function in such that
[TABLE]
By substituting into (3.1), we obtain the following proposition, whose proof we omit (see [5, Chapter II, Proposition 3.1]).
Proposition 3.1**.**
Let be a weak solution of (1.1)-(1.3) in . There exists a constant that can be determined a priori only in terms of the data such that
[TABLE]
We now turn to consider the local logarithmic estimates for weak solutions. To this end, we introduce the logarithmic function
[TABLE]
where is a constant chosen such that
[TABLE]
For simplicity of notation, we write instead of . We let stand for the derivative of with respect to . If we plug into (3.1), we obtain the following proposition.
Proposition 3.2**.**
Let be a weak solution of (1.1)-(1.3) in . There exists a constant that can be determined a priori only in terms of the data such that
[TABLE]
where is independent of and satisfies (3.2).
This is a standard result which can be found in [5, Chapter II, Proposition 3.2] and no proof will be given here. Finally, we remark that our approach does not follow the idea in [6] and [10] which concerns the approximate solutions to the equations with regularization of maximal monotone graph. Instead, we follow the approach in [4], which is more convenient to deal with the second alternative.
4. The intrinsic geometry
The continuity of will be a consequence of the following assertion. For any point there exists a family of nested and shrinking cylinders such that the oscillation of in tends to zero as . To begin the proof, we introduce a certain intrinsic parabolic cylinder which plays an important role in alternative arguments.
Without loss of generality, we assume that . Let be a fixed number such that and we set as a reference parabolic cylinder. We write
[TABLE]
Here and subsequently, stands for a fixed number and satisfies . For , we introduce the intrinsic parabolic cylinders of the form where
[TABLE]
The quantities and depend upon and will be determined in §6.2. Moreover, the relation implies
[TABLE]
Let and denote the fixed constants which will be determined in §5. We first assume that where and . In the case , we shall derive a decay estimate for in terms of and the discussion is postponed until §6.2.1. Define and . It is easy to check that .
The main ingredient of the proof is to establish an estimate for the essential oscillation of in a smaller cylinder ,
[TABLE]
where . We now assume that , otherwise (4.3) follows immediately. Moreover, for technical reasons, we have to consider the two cases and separately.
Motivated by the work of Henriques and Urbano [6], we consider the four complementary cases described below. In the case . For a constant , that will be determined in §5, we have two possible alternatives.
The first alternative. There exists such that for all ,
[TABLE]
The second alternative. For any there exists such that
[TABLE]
In the case . For a constant , that can be determined by , we introduce the following two alternatives.
The third alternative. There exists such that for all ,
[TABLE]
The fourth alternative. For any there exists such that
[TABLE]
For simplicity, we concentrate in the next two sections only the case , since the treatment of the case is similar. The proof of (4.3) in the case is left to the reader.
5. The first alternative
The aim in this section is to establish the estimate (4.3) for the first alternative. To start with, we establish the following DeGiorgi type lemma and determine the constant in terms of data and .
Lemma 5.1**.**
There exists a constant , depending only upon data and , such that if (4.4) holds for some then
[TABLE]
Proof.
Without loss of generality we may assume . Define two decreasing sequences of numbers
[TABLE]
and construct the family of nested and shrinking cylinders . We construct smooth cutoff functions , such that in , on , and . Write the energy estimate (3.3) over the cylinder for the functions . We first observe from [4, page 145] that
[TABLE]
Since and , we obtain
[TABLE]
where . Moreover, the relation (4.2) implies
[TABLE]
since . Then we conclude that
[TABLE]
Applying parabolic Sobolev’s inequality (2.7), we deduce
[TABLE]
At this point, we set
[TABLE]
The left-hand side of (5.2) is estimated below by
[TABLE]
Combining (5.3) with (5.2) and noting that , we obtain
[TABLE]
where we used (4.2) in the last step. Next, we set
[TABLE]
We observe that if , then
[TABLE]
Using a lemma on fast geometric convergence of sequences (cf. [5, Chapter I, Lemma 4.1]), we conclude that as . This completes the proof of Lemma 5.1. ∎
From the definition of the first alternative, we can extend the estimate (5.1) to a larger domain by using a covering argument. To be more precise, we obtain the following corollary whose proof we omit.
Corollary 5.2**.**
Let be a constant chosen according to (5.4) and assume that (4.4) holds for some and for all . Then there holds
[TABLE]
Next, we set and establish the following result regarding the expansion of the positivity in time direction.
Lemma 5.3**.**
Let be a constant chosen according to (5.4) and assume that (4.4) holds for some and for all . For any fixed , the constant can be chosen in dependence on , , , and such that, with , there holds
[TABLE]
for all .
Proof.
We first recall that
[TABLE]
and
[TABLE]
where
[TABLE]
Next we let and choose which is admissible since . We observe from (5.5) that for all . The following proof will be divided into two steps.
Step 1: Let be a piecewise smooth function. We establish the estimate:
[TABLE]
In the case , we have and this yields
[TABLE]
which is our claim. We now turn to the case . If , then there holds and we obtain again the identity . It now remains to consider the case . Since , then . We write
[TABLE]
with the obvious meaning of and . We begin with the estimate for . Noting that , we obtain
[TABLE]
To estimate , we note that on and there holds
[TABLE]
At this stage, we introduce an auxiliary function , defined by
[TABLE]
We observe that , is Lipschitz with respect to and
[TABLE]
Integrating by parts, we deduce
[TABLE]
Combining (5.10) and (5.11), we conclude that
[TABLE]
since for all . This proves the claim (5.9).
Step 2: Proof of (5.3). Since for all , we find that
[TABLE]
Plugging this into (3.4) and taking into account (5.9), we obtain
[TABLE]
We take cutoff function which satisfies in , in and . Now we take and deduce from (5.7) and (5.8) the estimate
[TABLE]
Keeping in mind , we deduce from (4.2) the estimate
[TABLE]
where . At this point, we choose
[TABLE]
For such a choice of , the above estimate yields
[TABLE]
The left-hand side of (5.12) is estimated below by integrating over the smaller set
[TABLE]
On such a set, and
[TABLE]
This gives
[TABLE]
for all . Combining (5.13) with (5.12), we conclude that for any there holds
[TABLE]
which proves the lemma. ∎
With the help of the preceding two lemmas we can now prove the following proposition which is the main result in this section.
Proposition 5.4**.**
Suppose that . Let be a constant chosen according to (5.4) and assume that (4.4) holds for some and for all . Then there exists a constant depending only upon the data such that the following holds. For the constant which is determined a priori only in terms of such that
[TABLE]
and , there holds
[TABLE]
Proof.
Let and be the constants determined by Lemma 2.4 and 3.3, respectively, depending only upon the data . We now choose
[TABLE]
and choose satisfying (5.14). By Lemma 5.3, we conclude from (5.6) that
[TABLE]
Next, we define two decreasing sequences of numbers
[TABLE]
We set and choose piecewise smooth cutoff functions defined in and satisfying in , in and . We recall that from (5.1) there holds in . Write the energy estimate (3.3) for over the cylinder , we obtain
[TABLE]
since . Next, we claim that
[TABLE]
To prove (5.18), we first consider the case . In this case, either or . We obtain
[TABLE]
In the case , we note that and . Taking into account in , we get
[TABLE]
which proves the claim. At this stage, we arrive at
[TABLE]
Set
[TABLE]
With this notation, the estimate (5.17) reads
[TABLE]
Keeping in mind and , we deduce
[TABLE]
Applying the parabolic Sobolev’s inequality (2.7), we obtain
[TABLE]
On the other hand, we estimate below
[TABLE]
Combining the estimates above we infer that
[TABLE]
Taking into account , , and the relation (4.2), we obtain
[TABLE]
since
[TABLE]
Recalling from (5.16) and (5.19) that
[TABLE]
By the lemma on fast geometric convergence of sequences (cf. [5, Chapter I, Lemma 4.1]), we conclude that as , which proves the proposition. ∎
From now on, we choose . For such a choice of , we determine by
[TABLE]
where is the constant chosen according to (5.16). By these choices, taking (5.15) into account, we obtain the desired estimate (4.3) under the assumption of first alternative.
6. The second alternative
In this section we will establish the estimate (4.3) for the second alternative. We start with the following lemma whose proof we omit.
Lemma 6.1**.**
Let be a constant chosen according to (5.4) and assume that (4.5) holds for some fixed and . There exists a time level such that
[TABLE]
The estimate (6.1) is the starting point for the analysis of the second alternative and we can now ignore the inequality (4.5). Next, since and , then and . For , we observe that if then . So we can always discard the term involving in the energy estimates. Let be the quantity which will be determined in §6.2. We give the following lemma regarding the expansion of positivity in time direction.
Lemma 6.2**.**
There exists depending only upon the data and , and independent of such that
[TABLE]
for all where
[TABLE]
Proof.
Without loss of generality, we assume that . From (6.3), we observe that
[TABLE]
This enable us to use the logarithmic estimate (3.4) over the cylinder . Set and where is to be determined. We consider the logarithmic function
[TABLE]
Then we have and
[TABLE]
Choose a piecewise smooth cutoff function , defined in , and satisfying in , in and , where is to be determined. Since , then . Then we deduce from (3.4) the logarithmic estimate
[TABLE]
Keeping in mind the definition of and (6.1), we obtain
[TABLE]
At this stage, we proceed similarly as in [6, Page 938-939]. To estimate below the integral on the left-hand side, we consider a smaller set defined by
[TABLE]
On such a set, and
[TABLE]
It follows that
[TABLE]
for all . To prove the lemma choose
[TABLE]
With this choice we see that is independent of . ∎
6.1. Expansion of positivity in space variable
In this subsection we will establish an expansion of positivity result for the weak solutions in a larger cylinder. We have to work with an equation in dimensionless form and our proof is in the spirit of [1, 3, 5, 6]. To start with, we introduce the change of variables
[TABLE]
This transformation maps and . Next, we set the new functions
[TABLE]
With these notations, the estimate (6.2) can be rewritten as
[TABLE]
for all . On the other hand, we set . The function in (3.1) can be written in the new variable as
[TABLE]
For any and , we rewrite the weak form (3.1) in terms of the new variables and new functions as follows
[TABLE]
where
[TABLE]
From (1.3), we obtain the structure conditions for as follows
[TABLE]
where
[TABLE]
According to (6.3), the above identity reads
[TABLE]
which is independent of . By abuse of the notation, we write instead of the new variables. The next lemma is an analogue of [5, Chapter II, Lemma 1.1].
Lemma 6.3**.**
Let . Then there holds
[TABLE]
for all and .
Proof.
We proceed similarly as in [5, page 18-19]. In (6.7) choose the testing function
[TABLE]
In view of , we find that the first two terms in (6.7) vanish and there holds
[TABLE]
Consequently, the inequality (6.10) follows by passing to the limit . ∎
With the previous result at hand, we can now give the following lemma which concerns the expansion of positivity in space variable. Since the constants in the proof should be uniformly bounded in when , we employ the idea from Alkhutov and Zhikov [1]. Moreover, this approach enables us to obtain explicit estimates for the parameters which will play a crucial role in the next subsection.
Lemma 6.4**.**
Suppose that . For any , there exists depending only upon the data, and , such that
[TABLE]
for all .
Proof.
Before proceeding to the proof, we introduce the auxiliary functions
[TABLE]
and
[TABLE]
where and , are to be determined. Recalling the definition of , we have and . Moreover, we obtain the inequality
[TABLE]
for any . Taking into account
[TABLE]
and , we conclude that
[TABLE]
Let be a piecewise smooth cutoff function defined in . Suppose that in , in , on , , and the sets are convex for all . Testing the weak formulation (6.10) with the function
[TABLE]
and taking (6.8) into account, we have
[TABLE]
for any . In view of , , and therefore, Young’s inequality and (6.12) allow us to conclude that
[TABLE]
where
[TABLE]
Next, we observe that
[TABLE]
for any . Applying Lemma 2.3 on each of the time slice and keeping in mind (6.5), we deduce
[TABLE]
Multiplying both sides of the above inequality by and integrating over , we obtain
[TABLE]
where
[TABLE]
Recalling that , we obtain and for any there holds
[TABLE]
where
[TABLE]
At this stage, we introduce the quantities
[TABLE]
To prove this lemma, it suffices to determine constants and depending only upon the data, and , such that .
Fix , we choose and . For any , there exists such that
[TABLE]
Let
[TABLE]
In the case , we choose . In (6.15) take , and there holds
[TABLE]
To estimate below the integral on the left-hand side, take into account the domain of integration . On such a set, . Taking into account , we deduce
[TABLE]
Since , then there holds
[TABLE]
We use these estimates to conclude that
[TABLE]
and therefore
[TABLE]
Then , provided
[TABLE]
To this end, we choose
[TABLE]
We now turn our attention to the case . Denote by the least upper bound of the set
[TABLE]
In the case , there exists a sequence such that as , and
[TABLE]
Passing to the limit and taking into account that , we deduce
[TABLE]
We may now repeat the same arguments as in the previous proof and obtain , provided satisfies (6.16).
Finally, we come to the case . Let be an integer that can be determined a priori only in terms of the data, and . Let us initially assume for all . Next, we claim that
[TABLE]
Fix . Since , then there holds
[TABLE]
for any . It follows that
[TABLE]
Recalling the definition of , we have
[TABLE]
with the obvious meaning of . Consider the set where . On this set
[TABLE]
since . Combining this estimate with (6.19), we obtain
[TABLE]
At this stage, we set
[TABLE]
Since , then we have
[TABLE]
with the obvious meaning of . For a technical reason, we introduce a constant defined by
[TABLE]
At this point, we claim that
[TABLE]
For the value of given by (6.16), we have
[TABLE]
for all . Then there holds
[TABLE]
From (6.16), we observe that and this implies Combining this inequality with (6.21), we obtain
[TABLE]
By (6.16), this choice of yields and there holds . Then we have
[TABLE]
This implies the claimed estimate (6.20). We now proceed to estimate the right-hand side of (6.18). Using a change of variable , we obtain
[TABLE]
and this yields
[TABLE]
Taking into account that , we obtain
[TABLE]
where
[TABLE]
Moreover, we rewrite the above estimate as
[TABLE]
where the function satisfies
[TABLE]
To estimate below the integral on the left-hand side of (6.18), take into account the domain of integration . Recalling that , we deduce
[TABLE]
for any . Then we find that
[TABLE]
Applying a change of variable , we obtain
[TABLE]
Combining this estimate with (6.22), we conclude that
[TABLE]
Finally, we need to show that . The strategy of proof is exactly the same as in [1, Page 378-379] and we include the proof here for the sake of completeness. Since and
[TABLE]
It follows that
[TABLE]
Then we arrive at
[TABLE]
Taking into account that , we obtain
[TABLE]
By (6.16), this choice of yields and therefore
[TABLE]
From this estimate, we find that
[TABLE]
since . Taking into account that , we obtain
[TABLE]
From (6.24) and (6.25), we obtain
[TABLE]
Therefore, we conclude from (6.23) that and the claim (6.17) follows.
From (6.17), by iteration
[TABLE]
Having fixed , one can choose
[TABLE]
where denotes the integer portion of the number. For such a choice, and hence
[TABLE]
Moreover, by (6.16), there exists , depending only upon the data , such that
[TABLE]
We choose
[TABLE]
Taking into account that
[TABLE]
the choice (6.26) guarantees that . For such a choice of , we obtain the desired estimate (6.11). Finally, if for some , then the estimate (6.11) holds as well, for the same choice of as in (6.26). This concludes the proof of the lemma. ∎
From (6.9), (6.14) and (6.26), we remark that can be chosen independent of . Transforming back to the original function and original variables , we obtain an estimate for the measure of the level sets
[TABLE]
for all . With the help of this estimate we can now prove a DeGiorgi-type lemma.
Lemma 6.5**.**
Let be the constant chosen according to (6.4). Then there exist a constant depending only upon the data and , and a time level such that
[TABLE]
Proof.
Without loss of generality, we may assume . For to be determined later we take according to (6.26). For , set
[TABLE]
where the time level is taken as
[TABLE]
From (6.4), (6.9), (6.14) and (6.26), we observe that
[TABLE]
for any . So, we conclude from (6.3) that . Take piecewise smooth cutoff functions in , such that , in , on , and . Write down the energy estimates (3.3) for the truncated functions over the cylinders . Taking into account that
[TABLE]
we deduce
[TABLE]
At this point, we set
[TABLE]
Applying parabolic Sobolev’s inequality (2.7), we obtain
[TABLE]
for a constant depending only upon the data. The integral on the left-hand side is estimated below by
[TABLE]
Combining the estimates above and keeping in mind
[TABLE]
we infer that
[TABLE]
for a constant depending only upon the data. At this point, we set
[TABLE]
Choose in Lemma 6.4, and hence , from this and (6.26). Moreover, we conclude from (6.27) that By the lemma on fast geometric convergence of sequences, we infer that , as , which proves the lemma. ∎
6.2. Expansion of positivity in time variable
The aim of this subsection is to establish a DeGiorgi-type result similar to that of Lemma 6.5. To start with, we determine the constant in terms of the data and . Let and be the constants determined by (6.4) and (6.29), respectively. In (6.26), take and choose . At this point, we choose be such that
[TABLE]
and hence . This determines the precise formulation of the intrinsic parabolic cylinders. Next, we consider some geometric properties of these cylinders.
From now on, we assume that and set . Moreover, we will need the following assumption:
[TABLE]
In the case . Keeping in mind , we conclude from (6.31) that . While in the case we conclude from (5.4), (6.4), (6.9), (6.14), (6.26), (6.29) and (6.30) that
[TABLE]
for some constants and depending only upon the data. From this inequality, we obtain a decay estimate for as follows
[TABLE]
We now turn our attention to the case . In this case we have already established the estimate (6.28). Before proceeding further, let us remark that this estimate implies
[TABLE]
The next lemma deals with the expansion of positivity in time, starting from .
Lemma 6.6**.**
For any , there exist a constant depending only upon the data, and a time level such that
[TABLE]
for any .
Proof.
Set and . We consider the logarithmic function
[TABLE]
Then we have and
[TABLE]
Choose a piecewise smooth cutoff function , defined in , and satisfying in , in and . Since , it is easy to check that . Then we obtain from (3.4) the logarithmic estimate
[TABLE]
From (6.33), we observe that and there holds
[TABLE]
provided
[TABLE]
To estimate below the integral on the left-hand side, we consider a smaller set defined by
[TABLE]
On such a set, and . Combining this inequality with (6.35), we obtain (6.34), which proves the lemma. ∎
With the help of this lemma we can now prove the following DeGiorgi-type result.
Lemma 6.7**.**
There exists a constant depending only upon the data such that
[TABLE]
where .
Proof.
Let where is to be determined. Consider two decreasing sequences of real numbers
[TABLE]
We set . Take piecewise smooth cutoff functions in , such that in , in and . Write down the energy estimates (3.3) for the truncated functions over the cylinders . Taking into account that
[TABLE]
we obtain
[TABLE]
Set
[TABLE]
Applying the parabolic Sobolev’s inequality (2.7), we get
[TABLE]
for a constant depending only upon the data. The integral on the left-hand side is estimated below by
[TABLE]
Combining (6.37) and (6.38), we have
[TABLE]
Taking into account that
[TABLE]
and , we obtain
[TABLE]
for a constant depending only upon the data. At this point, we set
[TABLE]
We now choose . By Lemma 6.6, . Applying the lemma on fast geometric convergence of sequences, we deduce as , which proves the lemma. ∎
6.3. Iterative arguments: time propagation of positivity from to
In this subsection we first remark that the time level could be lower than . So the estimate (6.36) is insufficient for the proof. We have to use an iterative argument to obtain the estimate similar to (6.36) in the cylinder with a larger time interval.
The starting point is a space propagation of positivity similar to Lemma 6.4. Starting from (6.36), we set and introduce the change of variables
[TABLE]
This transformation maps and . Moreover, we set the new functions
[TABLE]
With these notations, the estimate (6.36) implies
[TABLE]
for all . On the other hand, we set and in (3.1) can be written in the new variable as
[TABLE]
We rewrite the weak form (3.1) in terms of the new variables and new functions
[TABLE]
for any and . We observe that the vector field satisfies the structure condition
[TABLE]
where
[TABLE]
Recalling that and , we deduce
[TABLE]
The constant depends only upon the data. To simplify notation, we continue to write for the new variables. In the same fashion as in the proof of Lemma 6.3, we conclude that the truncated functions are subsolutions to parabolic equations. In a precise way we have
[TABLE]
for all , and all nonnegative .
Lemma 6.8**.**
Suppose that . For any , there exists depending only upon the data and , such that
[TABLE]
for all .
Proof.
We proceed similarly as in the proof of Lemma 6.4. To this end, we introduce the auxiliary functions
[TABLE]
and
[TABLE]
where and . Take a piecewise smooth, cutoff function in , such that in , in , on , , and the sets are convex for all . In the weak formulation (6.44) take the test function
[TABLE]
This gives
[TABLE]
for any . Next, we observe from (6.40) that
[TABLE]
for any . Applying Sobolev’s inequality (2.6) slicewise, we obtain
[TABLE]
With the same argument as in the proof of Lemma 6.4, we derive the estimate
[TABLE]
where the constant depends only upon the data. At this stage, we follow the proof of Lemma 6.4 to conclude that there exists a constant depending only on the data, such that the following holds. If we choose
[TABLE]
then the estimate (6.45) follows. Moreover, we observe that the constant depends only upon the data. ∎
Lemma 6.9**.**
There exist a constant depending only upon the data and , and a time level such that
[TABLE]
and the constant is stable as .
Proof.
For to be determined later we take according to (6.46). For , set
[TABLE]
where . Take piecewise smooth cutoff functions in , such that , in , on , and .
In the weak formulation (6.41) take the test function . Observe that the first two terms vanish. By a standard argument, we derive a Caccioppoli’s estimate for over as follows
[TABLE]
Applying parabolic Sobolev’s inequality (2.7), we obtain
[TABLE]
for a constant depending only upon the data. At this point, we set
[TABLE]
The left-hand side of (6.48) is estimated below by
[TABLE]
Combining this estimate with (6.48), we obtain
[TABLE]
for a constant depending only upon the data. At this point, we set
[TABLE]
Choose , and hence , from this and (6.46). From Lemma 6.8, . By the lemma on fast geometric convergence of sequences, we infer that , as . This proves the lemma. ∎
Transforming back to the original function and original variables , we obtain the following DeGiorgi-type result.
Lemma 6.10**.**
Let be the constant as in Lemma 6.9. Then there exists a time level such that
[TABLE]
where
In order to obtain an expansion of positivity result at a higher time level , we need the following lemma that is similar to Lemma 6.6.
Lemma 6.11**.**
For any , there exist a constant depending only upon the data and , and a time level
[TABLE]
such that
[TABLE]
for any , and the constant is stable as .
Proof.
Let and . We consider the logarithmic function
[TABLE]
Then we get and
[TABLE]
Choose a piecewise smooth cutoff function , defined in , and satisfying in , in and . Such kind of cutoff functions can be chosen explicitly via the formulas (2.1)-(2.2). Since , we check at once that . Then we obtain from (3.4) the logarithmic estimate
[TABLE]
By Lemma 6.10, we see that and therefore
[TABLE]
At this stage, we choose the time level
[TABLE]
Combining the estimates above we infer that
[TABLE]
On the other hand, we introduce the smaller set
[TABLE]
In this set, and . Then we conclude that
[TABLE]
for all and the lemma follows with the choice of in (6.53). ∎
With the help of Lemma 6.11, we establish a DeGiorgi-type lemma and determine the value of and the time level in (6.51). This result extends (6.36) to a larger time interval.
Lemma 6.12**.**
Let be the constant chosen according to (6.53). Then there exists a constant depending only upon the data and such that the following holds. For the choice
[TABLE]
there holds
[TABLE]
and the constant is stable as .
Proof.
For to be determined later we take according to (6.46). For , set
[TABLE]
Let be defined via (2.1)-(2.2) with and replaced by and . Then the cutoff function satisfies in , in and . Taking into account that , we proceed similarly as in the proof of Proposition 6.7. Write down the energy estimates (3.3) for over , we obtain
[TABLE]
Set . Applying the parabolic Sobolev’s inequality (2.7), we deduce
[TABLE]
The integral on the left-hand side is estimated below by
[TABLE]
Combining the estimates above we see that
[TABLE]
Set and we shall derive a recursive inequality. Keeping in mind that
[TABLE]
we deduce
[TABLE]
Moreover, this estimate implies
[TABLE]
Since , then we conclude that
[TABLE]
where
[TABLE]
At this point, we set . Recalling the definition of from (6.53), we see that
[TABLE]
which is even independent of . Therefore, we conclude that if then as . To this end, we choose and the lemma follows. ∎
6.4. Iterative arguments: time propagation of positivity from to
Starting from (6.54), we will repeat the argument of §6.3 to obtain an estimate similar to (6.54) in a space-time cylinder containing a higher time level . The argument is divided into four steps. To start with, we set .
Step 1: We introduce the change of variables
[TABLE]
This transformation maps and . We introduce the new functions
[TABLE]
From (6.54), we see that \big{|}\{x^{\prime}\in K_{1}:\bar{u}(x^{\prime},t^{\prime})<-1\}\big{|}\geq 20^{-N} for all . Set and in (3.1) can be written in the new variable as
[TABLE]
We rewrite the weak form (3.1) in terms of the new variables and new functions
[TABLE]
for any and . It is easy to check that the vector field satisfies the structure condition
[TABLE]
where
[TABLE]
According to (6.53)-(6.54), we deduce that
[TABLE]
which depends only upon the data and , and is stable as . For any , we proceed similarly as in the proof of Lemma 6.8 to conclude that there exists a constant , depending only upon the data, such that the following holds. For the constant with the expression
[TABLE]
there holds
[TABLE]
Step 2: Based on the estimate (6.60), we are now in a position to obtain an upper bound for in a space-time cylinder with a larger cube in space. By the proof of Lemma 6.9 and Lemma 6.10, we conclude that there exists a time level , such that
[TABLE]
where
[TABLE]
and the constant is chosen according to (6.49).
Step 3: Let be the constant chosen according to (6.53). For any , we claim that there exist a constant depending only upon the data and , and a time level
[TABLE]
such that
[TABLE]
for any .
Proof of the claim.
Let and . We consider the logarithmic function
[TABLE]
Then we have and
[TABLE]
Let be defined via (2.1)-(2.2) with and replaced by and . It follows that in , in and . From (6.61), we deduce . Taking into account that , we obtain from (3.4) the logarithmic estimate
[TABLE]
Recalling the definition of from (6.53), we deduce
[TABLE]
At this stage, we set
[TABLE]
Then we find that
[TABLE]
On the other hand, we introduce the smaller set
[TABLE]
In this set, and . Then we conclude that
[TABLE]
for all and the estimate (6.63) follows. ∎
Step 4: Take be the constant as in Lemma 6.12. We claim that for the choice
[TABLE]
there holds
[TABLE]
Proof of the claim.
Proceed similarly as in the proof of Lemma 6.12, we consider two decreasing sequences of real numbers
[TABLE]
and set . Let be defined via (2.1)-(2.2) with and replaced by and . Then the cutoff function satisfies in , in and . Taking into account that , we write the energy estimate (3.3) for over the cylinder and obtain
[TABLE]
where . Applying the parabolic Sobolev’s inequality (2.7), we have
[TABLE]
To estimate below for the left-hand side, we observe that
[TABLE]
and therefore
[TABLE]
Then we deduce that
[TABLE]
Taking into account that
[TABLE]
then there holds
[TABLE]
and
[TABLE]
Set . Recalling from the definition of and noting that , we deduce
[TABLE]
since
[TABLE]
Then we conclude that if then as . To this end, we choose in (6.63) and the claim follows. ∎
6.5. Iterative arguments: time propagation of positivity from to ()
Starting from (6.66), we can repeat the argument of §6.4 at any time to obtain a sequence of time levels . Here and subsequently, set
[TABLE]
We now claim that
[TABLE]
for any .
Proof of (6.68).
We first observe from (6.66) that (6.68) holds with . Assuming (6.68) to hold for , we will prove it for . We proceed similarly as in §6.4 and divide the proof into four steps.
Step 1: Let be the new variables defined by
[TABLE]
This transformation maps and . We introduce the new functions
[TABLE]
By induction hypothesis, we see that \big{|}\{x^{\prime}\in K_{1}:\bar{u}(x^{\prime},t^{\prime})<-1\}\big{|}\geq 20^{-N} for all . Set and in (3.1) can be written in the new variable as
[TABLE]
We rewrite the weak form (3.1) in terms of the new variables and new functions
[TABLE]
for any and . We check at once that satisfies the structure condition
[TABLE]
where
[TABLE]
Taking into account the definitions of , , , and , we infer that
[TABLE]
At this point, the proof now is exactly the same as in the step 1 in §6.4. For any , we choose as in (6.59) and conclude that
[TABLE]
Step 2: With the previous result at hand, we proceed similarly as in the step 1 in §6.4 to conclude that there exists a time level , such that
[TABLE]
where is the same constant as in (6.62).
Step 3: For any , we claim that there exists a time level
[TABLE]
such that
[TABLE]
for any .
Proof of the claim.
Let and . We consider the logarithmic function
[TABLE]
Taking into account the definition of , we have and
[TABLE]
Let be defined via (2.1)-(2.2) with and replaced by and . It is easily seen that in , in and . It follows from (6.72) that . Taking into account that , we obtain from (3.4) the logarithmic estimate
[TABLE]
Keeping in mind the definitions of and , we obtain
[TABLE]
On the other hand, we introduce the smaller set
[TABLE]
In this set, and . Then we conclude that
[TABLE]
for all and the estimate (6.73) follows. ∎
Step 4: Proof of the estimate (6.68) for . For , set
[TABLE]
Let be defined via (2.1)-(2.2) with and replaced by and . Then the cutoff function satisfies in , in and . Taking into account that , we write the energy estimate (3.3) for over the cylinder and obtain
[TABLE]
where . Applying the parabolic Sobolev’s inequality (2.7), we have
[TABLE]
To estimate below for the left-hand side, we observe that
[TABLE]
and therefore
[TABLE]
Then we deduce that
[TABLE]
Taking into account that
[TABLE]
then there holds
[TABLE]
and also
[TABLE]
Set . Recalling from the definition of and noting that , we deduce from (6.67) that
[TABLE]
Then we conclude that if then as . To this end, we choose in (6.73) and the estimate (6.68) follows for . ∎
6.6. Analysis of the second alternative concluded
Now we are ready to proceed to obtain a DeGiorgi-type result similar to Proposition 5.4. We conclude from (6.36), (6.54) and (6.68) that for any there holds
[TABLE]
Note that the time level should be taken so large that . For this purpose, we have to impose a condition that . Taking into account that is uniformly bounded in , we set and impose a condition for as follows
[TABLE]
In this case, we see that as and we can find an integer with the expression
[TABLE]
such that .
In order to perform the iteration, we observe that any subcylinder should be contained in the reference cylinder . To this end, we conclude that the estimate (6.74) holds for under the assumption that and , where . However, if , then there exists a constant depending only upon the data and such that
[TABLE]
According to (6.30), there exist positive constants and depending only upon the data and such that
[TABLE]
We observe that as .
To proceed further, we now turn our attention to the case . If there exists such that , then (6.74) is the desired estimate for the second alternative. If for any , then there exists such that and . The iteration scheme only need a slight modification. We perform the iterative arguments times to obtain (6.74) for . Starting from this estimate, we repeat the arguments from step 1 to step 2 in §6.5 to obtain the estimate (6.73) with . Furthermore, we can repeat the the arguments in step 3 and step 4 in §6.5 with , since the proof still works with the condition replaced by
[TABLE]
Then we conclude that the DeGiorgi-type estimate (6.74) holds in the cylinder , with replaced by .
In conclusion, we have proved the following proposition.
Proposition 6.13**.**
Suppose that the assumptions (6.31) and (6.75) are in force. Then there exists a constant depending only upon the data and , such that, either
[TABLE]
for some constants , and depending only upon the data and . Moreover, as .
7. Proof of the main result concluded
As we have already discussed in §4, the strategy of the proof is to study oscillation of the weak solution in a sequence of nested and shrinking cylinders with common vertex and prove that the essential oscillation converges to zero. We follow the notation used in §4 and assume that the common vertex coincides with . To start with, we set ,
[TABLE]
From Proposition 5.4 and 6.13, we conclude that there exists such that either
[TABLE]
and satisfies and as . Next, we set , and construct the reference parabolic cylinder . We see that and . Moreover, we choose the cylinder by
[TABLE]
At this point, we apply Proposition 5.4 and 6.13 again, with and replaced by and , to obtain either
[TABLE]
[TABLE]
We continue this process to find two sequences and such that
[TABLE]
Then we have as . From [9, Page 222], we see that as . With these choices, we define and determine the cylinder by
[TABLE]
where These cylinders are nested with common vertex and shrinking to this point as . Next, we remark that there is no any subsequence such that and
[TABLE]
This is because if this estimate holds true for any , then , which contradicts to the assumption . Repeated application of Proposition 5.4 and 6.13, we conclude that there exist subsequences and such that either
[TABLE]
Therefore, we conclude that either or as . This proves the theorem.
Acknowledgement
The author wishes to thank Eurica Henriques, Peter Lindqvist, Irina Markina and José Miguel Urbano for the valuable discussions.
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