Partial regularity of weak solutions and life-span of smooth solutions to a biological network formulation model
Xiangsheng Xu

TL;DR
This paper studies the partial regularity of weak solutions and the lifespan of smooth solutions for a PDE model of biological transportation networks, establishing conditions for local existence and potential extension of solutions.
Contribution
It provides new results on partial regularity and lifespan extension for solutions to a biological network PDE model, connecting to De Giorgi's conjecture.
Findings
Partial regularity of weak solutions established.
Local existence of classical solutions proven.
Solution lifespan can be extended under small initial and source terms.
Abstract
In this paper we first study partial regularity of weak solutions to the initial boundary value problem for the system , where is a given function and are given numbers. This problem has been proposed as a PDE model for biological transportation networks. Mathematically, it seems to have a connection to a conjecture by De Giorgi \cite{DE}. Then we investigate the life-span of classical solutions. Our results show that local existence of a classical solution can always be obtained and the life-span of such a solution can be extended as far away as one wishes as long as the term is made suitably small, where…
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TopicsGene Regulatory Network Analysis · Slime Mold and Myxomycetes Research · Microplastics and Plastic Pollution
Partial regularity of weak solutions and life-span of smooth solutions to a biological network formulation model
Abstract.
In this paper we study partial regularity of weak solutions to the initial boundary value problem for the system , where is a given function and are given numbers. This problem has been proposed as a PDE model for biological transportation networks. The mathematical difficulty is due to the fact that the system in the model features both a quadratic nonlinearity and a cubic nonlinearity. The regularity issue seems to have a connection to a conjecture by De Giorgi [4]. We also investigate the life-span of classical solutions. Our results show that local existence of a classical solution can always be obtained and the life-span of such a solution can be extended as far away as one wishes as long as the term is made suitably small, where is the space dimension and denotes the norm in .
Key words and phrases:
Biological network formulation, cubic nonlinearity, life-span of smooth solutions, partial regularity of weak solutions.
1991 Mathematics Subject Classification:
Primary: 35A01, 35A09, 35M33, 35Q99.
Xiangsheng Xu
Department of Mathematics & Statistics
Mississippi State University
Mississippi State, MS 39762, USA
1. Introduction
Network formulation and transportation networks are fundamental processes in living systems [1]. The angiogenesis of blood vessels, leaf venation, and creation of neural pathways in nervous systems are some of the well known examples. Tremendous interest has been shown for these phenomena from different scientific communities such as biologists, engineers, physicists, and computer scientists. Of particular interest is their property of optimal transport of fluids and other materials. The development of mathematical models for transportation networks and network formulation is a growing field. We would like to refer the reader to [2] for a comprehensive review and analysis of existing models.
In this paper we are interested in the mathematical analysis of a PDE model first proposed by Hu and Cai in [14] that describes the pressure field of a network using a Darcy’s type equation and the dynamics of the conductance network under pressure force effects. More precisely, let be the network region, a bounded domain in , and a positive number. Set . We study the behavior of solutions to the system
[TABLE]
coupled with the initial boundary conditions
[TABLE]
for given function and physical parameters to be specified at a later time. Here the scalar function is the pressure due to Darcy’s law, while the vector-valued function is the conductance vector. The function is the time-independent source term. Values of the parameters , and are determined by the particular physical applications one has in mind. For example, in leaf venation we have [14].
In general nonlinear problems do not possess classical solutions. A suitable notion of a weak solution must be obtained for (1.1)-(1.5). It turns out [10] that we can introduce the following:
Definition 1.1**.**
Let be given as before. A pair is said to be a weak solution to (1.1)-(1.5) in if:
- (D1)
, ; 2. (D2)
in ; 3. (D3)
Equations (1.1) and (1.2) are satisfied in the sense of distributions. That is, for a.e. we have
[TABLE]
Lemma 1.2** ([10]).**
Assume:
- (H1)
* is a bounded domain in with Lipschitz boundary ; * 2. (H2)
; 3. (H3)
; and 4. (H4)
.
Then (1.1) -(1.5) has a weak solution.
The proof in [10] was based upon the formal gradient flow structure with respect to a suitable energy functional of the system, from which followed the estimates
[TABLE]
where , and is the solution of the boundary value problem
[TABLE]
We refer the reader to [1, 2, 11, 17, 26, 27] for additional results concerning modeling, numerical simulations, and various properties of solutions. However, the general regularity theory remains fundamentally incomplete in high space dimensions. In particular, it is not known whether or not weak solutions develop singularities in space dimension .
In [18], Jian-Guo Liu and the author studied the partial regularity of weak solutions. In this context, we assume:
- (A1)
for some ; 2. (A2)
; and 3. (A3)
.
It is not difficult to see from our proof below that the conclusion of Lemma 1.2 remains valid if we replace (H2)-(H4) in the lemma by the assumptions (A1)-(A3). The authors in [18] considered the following quantities:
[TABLE]
where , is the ball centered at with radius , and is the cylinder . Here and in what follows it is understood that if (resp. ) is not contained in (resp. ) we replace by (resp. ). A result of [18] asserts that , and thus (1.18) makes sense. The main result of [18] can be stated as follows:
Lemma 1.3** ([18]).**
Let (H1), (A1)-(A3)* be satisfied and be a weak solution of (1.1)-(1.5). Assume:*
- (A4)
* or .*
If is such that
[TABLE]
then is a regular point. That is, there is a neighborhood of in which is Hölder continuous. Furthermore, the set of all non-regular points, i.e., singular points, which we denote by , has parabolic Hausdorff dimension .
The proof in [18] is argument by contradiction. In the first part of this paper we shall investigate the partial regularity issue from a different perspective. To introduce our results, we let
[TABLE]
To see that is well-defined, we invoke Proposition 2.1 in [18] which states
[TABLE]
Theorem 1.4**.**
Let (H1), (A1)-(A3)* be satisfied and be a weak solution of (1.1)-(1.5). If is such that*
[TABLE]
then for each there is a with
[TABLE]
*where *
[TABLE]
If , we obtain from [26] that
[TABLE]
for a.e and . Here and in what follows the letter denotes a positive number whose value can always be computed from the given data at least in theory. Thus (1.24) does hold. In fact, this theorem is essentially Proposition 3.2 in [26]. To find conditions under which (1.24) is true for turns out to be very challenging. The following theorem addresses this issue.
Theorem 1.5**.**
Let (H1), (A1)-(A4)* all hold and be a weak solution of (1.1)-(1.5). If is such that*
[TABLE]
then (1.24) holds at . Furthermore, the point satisfies (1.20) for each . That is, are all regular points.
On account of (A4), (1.29) and (1.30) imply (1.24) only when . The first conclusion in this theorem will be formulated as Theorem 3.2 in Section 3.
Note that by its definition the set of regular points is always open. We have not been able to obtain the Hausdorff measure of in the context of this theorem. However, if , then (1.30) is satisfied for all . As for (1.29) in this case, we can infer from the argument given in ([8], p. 104) that
[TABLE]
That is, for each we have
[TABLE]
A recent result of the author [27] indicates that is empty when and some additional assumptions on and the given data are satisfied.
There are two very interesting mathematical features associated with the system. The first one concerns the elliptic coefficient matrix in the first equation. Remember that the existing regularity theory for elliptic equations requires that the largest eigenvalue of and the smallest one be suitably “balanced”. A typical example of such assumptions is that and is an -weight [12]. That is, we have
[TABLE]
The matrix here satisfies
[TABLE]
Thus if is not locally bounded a priori, our case lies outside the scope of the standard elliptic regularity theory. Our situation seems to be related to a conjecture by De Giorgi [4] (also see [22]), which, in our context, roughly says that
[TABLE]
This is indeed true if the space dimension is 2 [26]. Unfortunately, the membership of in is not enough to bridge the gap to the local boundedness of . As we shall see in Section 3, we need to strengthen the assumption to for some in order to show that is locally bounded. The second one is the tri-linear term in the system, which actually represents a cubic nonlinearity. Currently, there has not been much research work done on this type of nonlinearities.
In the second part of this paper we study the existence of a weak solution that possesses the additional property
- (D4)
and for each .
We would like to remark that if then the two conditions in (D4) are equivalent (see Lemma 2.7 below).
Theorem 1.6**.**
Let (A2) hold. If is , , and for some , then a weak solution to (1.1)-(1.5) with the additional property (D4) is also a classical one.
The proof of this proposition will be presented at the end of Section 2.
Theorem 1.7**.**
Let (A1)-(A3) hold. Assume:
- (H5)
* is Hölder continuous on ;* 2. (H6)
* is .*
Then there is a positive number determined by the given data such that (1.1)-(1.5) has a weak solution with the property (D4) on .
The next theorem reveals how the life-span of a classical solution depends on the size of given data.
Theorem 1.8**.**
Let the assumptions of Theorem 1.7 be satisfied. For each there is a positive number such that (1.1)-(1.5) has a weak solution on with the property (D4) whenever .
We believe that the fact that the number in the theorem has to depend on is related to the time-independence of the source term . If is not identically [math], then we always have for any . We speculate that if the source term is a function of both time and space and is suitably small for some we may be able to prove the existence of a classical solution on [17]. However, we must point out that the time-dependence of will cause (1.6) to fail, and thus a new existence theorem other than the one in [10] is needed.
Nonlinearities in partial differential equations often play a rather peculiar role in blow-up of solutions. In this connection we would like to mention the well known Fujita phenomenon. It roughly says that for certain types of nonlinearities solutions exists globally for some data, while for some other data solutions blow up no matter how small or smooth these data are [7]. Note that Theorem 1.8 is neither a global existence result nor a blow-up result. As we mentioned earlier, many regularity problems associated with (1.1)-(1.5) remain open.
The rest of the paper is organized as follows: In section 2 we collect some preparatory lemmas. Here we take or refine some relevant classical results. In Section 3 we investigate regularity and partial regularity of weak solutions. We show that leads to Hölder continuity of . The proof of Theorem 1.5 is also given here. Section 4 is devoted to the proof of Theorems 1.7 and 1.8. A successive approximation scheme is employed for the second theorem. The mathematical challenge here is that one must show that the entire approximate sequence converges in a suitable sense.
2. Preliminaries
In this section we prepare some background results. Some of them are well-known and some of them are a refinement of known results so that they fit our purpose.
Our first result is an elementary inequality whose proof is contained in ([21], p. 146-148).
Lemma 2.1**.**
Let be any two vectors in . Then:
- (i)
For ,
[TABLE] 2. (ii)
For ,
[TABLE]
For each we define the Banach space , where , by
[TABLE]
The smallest such that the above inequality holds is the norm of in . We easily see
[TABLE]
Moreover, for each measurable subset and each we have from [3] that
[TABLE]
The next two lemmas deal with sequences of nonnegative numbers which satisfy certain recursive inequalities.
Lemma 2.2**.**
Let , be a sequence of positive numbers satisfying the recursive inequalities
[TABLE]
If
[TABLE]
then .
This lemma is well-known. See, e.g., ([5], p.12). Here we give a brief proof. We can easily show
[TABLE]
Therefore, if and , then we have that .
Lemma 2.3**.**
Let be given and a sequence of nonnegative numbers with the property
[TABLE]
If , then
[TABLE]
This lemma can easily be established via induction.
Lemma 2.4**.**
Let be a bounded domain in with Lipschitz boundary . Assume that is a weak solution of the initial boundary value problem
[TABLE]
where is Hölder continuous on and for some . Then is Hölder continuous on . That is, there is a number such that
[TABLE]
This result is well-known, and it can be found, for example, in [16]. Next, we cite a result from ([23], p.82).
Lemma 2.5**.**
Let (H6) hold and assume
- (L1)
* is an matrix whose entries are continuous functions on , satisfying the uniform ellipticity condition*
[TABLE]
If is a weak solution to the boundary value problem
[TABLE]
then for each there is a positive with the property
[TABLE]
We can easily infer from the preceding two lemmas that (D4) can be replaced by
- (D4)′
and there is a such that .
Lemma 2.6**.**
*Let be a weak solution of the initial boundary value problem *
[TABLE]
Then there is a positive number such that
[TABLE]
Proof.
Even though (2.4) is a system, the classical method due to De Giorgi is still applicable. Here we give an outline of the proof. Set
[TABLE]
Then define
[TABLE]
where is a number to be determined. Let
[TABLE]
Without loss of generality, assume . Use as a test function in (2.4) to derive, with the aid of the Gagliardo-Nirenberg-Sobolev inequality, that
[TABLE]
from whence follows
[TABLE]
Use the Gagliardo-Nirenberg-Sobolev inequality again to obtain
[TABLE]
Set
[TABLE]
We can easily show that
[TABLE]
This puts us in a position to apply Lemma 2.2. Upon doing so, we arrive at
[TABLE]
provided that
[TABLE]
Use this in (2.12) to yield the desired result. This completes the proof. ∎
Lemma 2.7**.**
Let (H2), (H3), (H5), and (H6) hold and be a weak solution of (1.1)-(1.5). Assume . Then if and only if for each .
Proof.
Suppose that . Then Equation (1.1) is uniformly elliptic. A result in [19] asserts that there is a such that
[TABLE]
This together with an argument in [28] [also see ([16], p.182)] implies that is Hölder continuous on . Thus Lemma 2.5 becomes applicable to (1.1). This yields the desired result.
Now assume that for each . Fix . By Lemma 2.6, there is a positive number such that
[TABLE]
where is independent of . Hence we can choose so that
[TABLE]
This immediately gives . Obviously, can be divided into a finite number of subintervals with each one of them having length less than . Apply the preceding argument successively to each one of the subintervals, starting with . The desired result follows. ∎
Before we conclude this section, we offer the proof of Theorem 1.6.
Proof of Theorem 1.6.
We will only give an outline of the proof, leaving many well-known technical details out. Assume (D4) and (H3). By the Calderon-Zygmund inequality for parabolic equations [16], we have
[TABLE]
Differentiate both sides of (1.2) with respect to each one of the space variables and apply Lemma 2.4 to the resulting equations in a suitable way to conclude that is Hölder continuous on . As a result, the classical Schauder estimates ([9], p.107) become applicable to (1.1). Upon applying, we yield that for some . Differentiate (1.1) with respect to to obtain
[TABLE]
This puts us in a position to use Lemma 2.5, from which follows
[TABLE]
Differentiate both sides of (1.2) with respect to and apply the Calderon-Zygmund inequality to the resulting equation to obtain
[TABLE]
Now the right-hand side of (2.17) is Hölder continuous in the space variables, and hence we can apply the Schauder estimates to it to get
[TABLE]
This implies that is Hölder continuous on . On the other hand, owing to (H3), the term is also Hölder continuous. We can conclude from the parabolic Schauder estimates [15] that is a classical solution of (1.2). ∎
3. Partial regularity of weak solutions
We begin this section by proving Theorem 1.4. To this end, we introduce the following notation. For denote by the function
[TABLE]
Proof of Theorem 1.4.
We only need to consider the case where . Let be given as in the theorem. First we assume that is an interior point. We will show that for each there is a such that
[TABLE]
By iterating this result, we obtain our theorem.
To see (3.2), for selected as below we pick a cut-off function with the properties
[TABLE]
Given , we easily see that the function is a legitimate test function for (1.2). Upon using it, we obtain
[TABLE]
Here we have used the fact that
[TABLE]
Integrate (3.7) to obtain
[TABLE]
To bound the first term on the right hand side of (3.9), we keep (1.23) in mind and use as a test function in (1.1) to derive
[TABLE]
Remember that . Thus we always have
[TABLE]
We can easily see from (3.8) that
[TABLE]
Use the Gagliardo-Nirenberg-Sobolev inequality to estimate
[TABLE]
Keeping those in mind, we integrate (3.10) with respect to over and then use (3.9) in the resulting inequality to derive
[TABLE]
By (1.24), we can choose so that
[TABLE]
With this in hand, we can combine (3.9) with (3.14) to deduce
[TABLE]
Taking in (3.16) yields
[TABLE]
Now we are in a position to apply the Gagliardo-Nirenberg-Sobolev inequality to derive
[TABLE]
If , the only change you need to make is that in the test function for (1.2) we substitute for . Everything else is exactly the same. This completes the proof. ∎
Theorem 3.1**.**
Let (H1),(A1)-(A3)* be satisfied and be a weak solution of (1.1)-(1.5). Assume that is Hölder continuous on . If for , then for some .*
Proof.
In view of Lemma 2.2 in [28], it is enough for us to show that there exist such that
[TABLE]
where
[TABLE]
To this end, let be given as in the theorem and choose a smooth cut-off function as in (3.3)-(3.6). If , then we use as a test function in (1.1) to obtain
[TABLE]
where is given as in (A1). This yields
[TABLE]
Here without any loss of generality we have assumed that . Theorem 1.4 together with the finite covering theorem implies that
[TABLE]
Consequently,
[TABLE]
Use this in (3.22) to derive
[TABLE]
Similarly,
[TABLE]
Choose so large that . Then take . If , we substitute for in the test function for (1.1) and the subsequent calculations are almost identical. This completes the proof. ∎
It is known from [18] that no matter what the space dimension is. Local boundedness estimates for turn out to be a much more delicate issue. From here on in this section we will assume , or . We must impose this restriction on the space dimension in order for the Moser-De Giorgi type of arguments to work. For simplicity, we will only consider the case where
[TABLE]
The other case is similar and a little bit simpler.
Theorem 3.2**.**
Let (H1), (A1)-(A3), and (3.27) hold and a weak solution of (1.1)-(1.5). Assume that satisfies (1.29) and (1.30). Then there is a with
[TABLE]
We shall adapt an idea from [25]. For this purpose we first consider subsolutions of certain homogeneous elliptic equations.
Definition 3.3**.**
Let be given as in (D1). We say that is a subsolution of the equation
[TABLE]
if:
- (D5)
; 2. (D6)
for all with and .
Claim 3.4**.**
Assume that (3.27) holds and . Let be such that (1.29) and (1.30) hold. If be a subsolution to (3.29), then we can find a positive number with the property
[TABLE]
Proof.
Fix a . Set
[TABLE]
where is a positive number to be determined. Then choose a sequence of smooth functions so that
[TABLE]
Use as a test function in (3.29) to obtain
[TABLE]
from whence follows
[TABLE]
Remember that . We deduce from Poincaré’s inequality that
[TABLE]
Here we have used (1.29) and (1.30). Plug (3.38) into (3.37) to derive
[TABLE]
We compute from the Gagliardo-Nirenberg-Sobolev inequality that
[TABLE]
Let
[TABLE]
Then we have
[TABLE]
We infer from (3.40) that
[TABLE]
We are in a position to apply Lemma 2.2, from whence follows
[TABLE]
∎
Claim 3.5**.**
Let the assumptions of Claim 3.4 hold. If is a weak solution of (3.29), then there exist with the property
[TABLE]
Proof.
Let be given as in the theorem. Set
[TABLE]
We introduce two functions due to Moser [20]:
[TABLE]
It is easy to verify that both and are subsolutions of (3.29). There are only two possibilities: either
[TABLE]
or
[TABLE]
Assume that the first possibility is in force. This puts us in a position to use formula (7.45) in ([9], p.164). Doing so yields
[TABLE]
Let be a smooth cut-off function given as in (3.3)-(3.6) with . We use as a test function in (3.29) to derive
[TABLE]
It immediately follows that
[TABLE]
We use (1.29) and (1.30) to estimate
[TABLE]
This together with (3.53) implies
[TABLE]
We compute from Claim 3.4, (3.51), and Poincaré’s inequality that
[TABLE]
By the definition of , we have
[TABLE]
If the second possibility holds, we use instead and everything else is the same. Our theorem follows from Lemma 8.23 in ([9], p.201). ∎
We are ready to prove Theorem 3.2.
Proof of Theorem 3.2.
Let be given as in the theorem. Fix a . We decompose into two functions and on , where is the weak solution of the boundary value problem
[TABLE]
and . Obviously, satisfies
[TABLE]
As a result, we can apply Proposition 2.1 in [18] to the above problem. This yields
[TABLE]
Obviously, we can apply Claim 3.5 to . Keeping this in mind, we calculate for that
[TABLE]
The theorem follows from Lemma 2.1 in ([8], p.86). ∎
Proof of Theorem 1.5.
Let be given as in the theorem. Then Theorem 3.2 holds, and so does Theorem 1.4. To establish Theorem 1.5, it is enough for us to show that there is a positive number such that
[TABLE]
where . Indeed, if the above inequality holds, we can infer from the proof of Theorem 1.2 in ([8], p.70) that
[TABLE]
This together with Theorem 3.2 and (3.71) implies (1.20).
We can further weaken (3.71). In fact, we only need to show that there is a such that
[TABLE]
This is due to the following estimate
[TABLE]
In view of Theorem 1.4, we can choose so small that
[TABLE]
To prove (3.73), we pick a so that . We decompose on as follows: Solve the linear problem
[TABLE]
where denotes the parabolic boundary of . Let . Denote by the component of . Then satisfies
[TABLE]
By slightly modifying the proof of Claim 1 in [24], we conclude that there exist , depending only on such that
[TABLE]
We proceed to estimate . Theorem 3.2 combined with Theorem 1.4 and the proof of Theorem 3.1 implies that (3.25) still holds. With this in mind, we use as a test function in (3.85) to obtain
[TABLE]
We calculate from the Gagliardo-Nirenberg-Sobolev inequality that
[TABLE]
from whence follows
[TABLE]
We infer from (2.2) that
[TABLE]
We pick an so that
[TABLE]
For we calculate
[TABLE]
We conclude (3.73) from Lemma 2.1 from ([8], p.86). The proof is complete. ∎
4. Proof of Theorems 1.7 and 1.8
Proof of Theorem 1.7.
For each we define
[TABLE]
Then we have
[TABLE]
Replace by in (1.1) and write the resulting equation in the form
[TABLE]
Claim 4.1**.**
If is sufficiently small, then (4.3) coupled with (1.2)-(1.5) has a weak solution satisfying (D4).
Proof.
A solution will be constructed via the Leray-Schauder theorem ([9], p.280). For this purpose we define an operator from into itself as follows: For each we say if is the unique solution of the initial boundary value problem
[TABLE]
where solves (4.3) coupled with (1.3). The latter problem has a unique solution if is sufficiently small. To see this, first observe that the elliptic coefficients on the left-hand side of (4.3) are continuous. Therefore, we are in a position to apply Lemma 2.5, from whence follows that for each there is a positive number c determined only by , and such that
[TABLE]
Now fix a . We have
[TABLE]
if we choose so that the coefficient in (4.7) is strictly less than . From here on we assume that this is the case. Subsequently, Lemma 2.4 becomes applicable to (4.4). Upon using it, we obtain that is Hölder continuous on . Therefore, we can claim that is well-defined, continuous, and precompact. It remains to be seen that there is a positive number such that
[TABLE]
for all and satisfying
[TABLE]
This equation is equivalent to the following problem
[TABLE]
We still have (4.8). As a result, the right-hand side of (4.11) is bounded in . Recall that . Hence (4.9) follows from Lemma 2.4. This completes the proof of the claim. ∎
To continue the proof of Theorem 1.7, by the Hölder continuity of on , we can find a positive number such that
[TABLE]
where is the Hölder exponent of . We see from (4.2) that (4.3) reduces to (1.1) on , where (D4)′ holds true. The proof is complete. ∎
Proof of Theorem 1.8.
Fix . We construct a sequence of functions on as follows: Set
[TABLE]
The function is the unique solution of the boundary value problem
[TABLE]
Suppose that are known. We define to be the unique solution of the boundary value problem
[TABLE]
while solves the problem
[TABLE]
The uniqueness of a solution to the preceding problem can easily be inferred from Lemma 2.1. Obviously, if satisfies (D4), so does . The sequence is well-defined. It follows from Lemma 2.6 that there is a positive number with
[TABLE]
where
[TABLE]
On the other hand, we can deduce from Lemma 2.5 that there is a positive number such that
[TABLE]
It immediately follows
[TABLE]
Define
[TABLE]
Adding (4.23) to (4.22), we derive
[TABLE]
Observe from (4.15)-(4.16) that
[TABLE]
In view of Lemma 2.3, if
[TABLE]
then
[TABLE]
We must show that the whole sequence converges in a suitable sense. To this end, we conclude from (4.19) that
[TABLE]
By Lemma 2.1, we have
[TABLE]
Use as a test function in (4.26) and keep the above inequality and (4.25) in mind to derive
[TABLE]
We write
[TABLE]
Use this in (4.27) to obtain
[TABLE]
By (4.17), we have
[TABLE]
Upon using as a test function in the above equation, we arrive at
[TABLE]
We represent
[TABLE]
We calculate
[TABLE]
Similarly, we have
[TABLE]
Plug the preceding estimates into (4.31) to derive
[TABLE]
Let
[TABLE]
Add (4.35) to (4.29) and integrate the resulting equation over to yield
[TABLE]
This implies
[TABLE]
Hence if
[TABLE]
then the two series’s
[TABLE]
converge in and , respectively. It immediately follows that the two sequences and also converge in and , respectively. We can also deduce from (4.25) and Lemma 2.4 that is uniformly convergent on . We can let in (4.17) and (4.19). Note from (4.25) that (4.39) is valid if we make the term suitably small. The proof is complete. ∎
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