The speed of propagation for KPP reaction-diffusion equations within large drift
Mohammad El Smaily, Stephane Kirsch

TL;DR
This paper investigates the asymptotic behavior of the minimal propagation speed of pulsating traveling fronts in KPP reaction-diffusion equations with large drift, within periodic heterogeneous media, providing explicit formulas and conditions for positivity.
Contribution
It extends the understanding of minimal speed asymptotics in reaction-diffusion equations with large drift, using variational formulas and detailed analysis in two dimensions.
Findings
Derived asymptotic formulas for minimal speed in large drift regimes.
Identified conditions for the positivity of the asymptotic speed in 2D.
Connected the minimal speed limits to variational quantities over first integrals.
Abstract
This paper is devoted to the study of the asymptotic behaviors of the minimal speed of propagation of pulsating traveling fronts solving the Fisher-KPP reaction-advection-diffusion equation within either a large drift, a mixture of large drift and small reaction, or a mixture of large drift and large diffusion. We consider a periodic heterogenous framework and we use the formula of Berestycki, Hamel and Nadirashvili \cite{bhn2} for the minimal speed of propagation to prove the asymptotics in any space dimension We express the limits as the maxima of certain variational quantities over the family of "first integrals" of the advection field. Then, we perform a detailed study in the case N=2 which leads to a necessary and sufficient condition for the positivity of the asymptotic limit of the minimal speed within a large drift.
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The speed of propagation for KPP reaction-diffusion equations within large drift
Mohammad El Smaily and Stéphane Kirsch 111Both authors are partially supported by a PIMS postdoctoral fellowship. 222 During the preparation of this work, both authors were partially supported by an NSERC grant under the supervision of Professor Nassif Ghoussoub.
Department of Mathematical Sciences
Carnegie Mellon University, Pittsburgh, PA, 15207, USA
Department of Mathematics, University of British Columbia
Pacific Institute for the Mathematical Sciences
1984 Mathematics Road, V6T 1Z2, Vancouver, BC, Canada
[email protected] , [email protected]
Abstract
This paper is devoted to the study of the asymptotic behaviors of the minimal speed of propagation of pulsating travelling fronts solving the Fisher-KPP reaction-advection-diffusion equation within either a large drift, a mixture of large drift and small reaction, or a mixture of large drift and large diffusion. We consider a periodic heterogenous framework and we use the formula of Berestycki, Hamel and Nadirashvili [3] for the minimal speed of propagation to prove the asymptotics in any space dimension We express the limits as the maxima of certain variational quantities over the family of “first integrals” of the advection field. Then, we perform a detailed study in the case which leads to a necessary and sufficient condition for the positivity of the asymptotic limit of the minimal speed within a large drift.
AMS Subjet Classifications: 35B30, 35K55, 35K57, 35Q80, 35Q92, 37C10, 80A32.
1 Introduction and main results
In this paper, we study the asymptotics of the minimal speed of propagation of pulsating travelling fronts in the presence of a large incompressible advection field. We consider a reaction-advection-diffusion equation
[TABLE]
where stands for the unit outward normal on whenever it is nonempty.
The domain is nonempty connected open subset of such that for some integer and for some positive real numbers, we have
[TABLE]
where is the canonical basis of In other words, is bounded in the direction and periodic in As archetypes of the domain we may have the whole space which corresponds for and any array of positive real numbers. We may also have the whole space with a periodic array of holes or an infinite cylinder with an oscillating boundary. In this periodic situation, we call
[TABLE]
the periodicity cell of We also give the following definition:
Definition 1.1** (-periodic fields)**
A field is said to be -periodic with respect to if almost everywhere in and for all
The diffusion matrix is a symmetric (with ) matrix field satisfying
[TABLE]
The underlying advection is a (with ) vector field satisfying
[TABLE]
Concerning the nonlinearity it is a nonnegative function defined in such that
[TABLE]
with the additional “KPP” assumption (referring to [11] by Kolmogorov, Petrovsky and Piskunov)
[TABLE]
An archetype of is defined on where is a positive -periodic function.
In all of this paper, is a fixed unit vector and A pulsating travelling front propagating in the direction of within a speed is a solution of (1.1) for which there exists a function such that is -periodic in and
[TABLE]
uniformly in
In the same setting as in this paper, it was proved in [1] and [3] that for all and satisfying (1.4), (1.9), (1.10), (1.16-1.17) respectively, there exists called the minimal speed of propagation, such that pulsating travelling fronts exist for This result extended that of [11] which proved that in a “homogenous” framework where (the identity matric) and there is no advection A variational formula for the minimal speed involving the principal eigenvalue of an elliptic operator was proved in [3] and [14]. Moreover, El Smaily [5] proved a - formula for the minimal speed. Many asymptotic behaviors of the minimal speed within large or small diffusion and reaction coefficients and many homogenized speeds were found in [4] and [6]. In [4], we have the asymptotic behavior of the minimal speed within a mixture of large diffusion and large advection. Precisely, in Theorem 4.1 of [4], it was proved that for all and under the condition in
[TABLE]
where is given in (1.16).
In this paper, we are interested in the asymptotic behavior of as and also the asymptotic behaviors of the minimal speed within a mixture of large advection and small reaction or large diffusion. In [2], it has been proved that (resp. ) are finite. Upper and lower bounds of these and were given in [2] in terms of the “first integrals” of the advection field The family of first integrals of and two corresponding sub-families will be used in this paper and we recall their definitions below. In Heinze [9], the limit was given in the case of shear flows where An interesting result about the existence of the limit of as (where ) and several examples of the advection field in 2D and 3D were given in Corollary 1.3 and Section 3 of [12].
Definition 1.2** (First integrals)**
The family of first integrals of is defined by
[TABLE]
Having a matrix of the type (1.9), we also define
[TABLE]
and
[TABLE]
Remark 1.1** (more about )**
The set is a closed subspace of Moreover, one can see that if is a first integral of and is a Lipschitz function, then
The following theorem gives the asymptotic behavior of the minimal speed in the presence of a large advection:
Theorem 1.1
We fix a unit direction and assume that the diffusion matrix and the nonlinearity satisfy (1.9), (1.16) and (1.17). Let be an advection field which satisfies (1.10). Then,
[TABLE]
The proof of this theorem will be done later in Section 2.
Remark 1.2
It is worth mentioning that the presence of a large advection () has no influence on the limit in (1.18) whenever a large diffusion applies. However, the limit in (1.20) depends on and via the set and explicitly on the advection
Theorem 1.2** (large advection with small reaction or large diffusion)**
Assume that and satisfy (1.4), (1.9), (1.10) and (1.16-1.17) respectively. Let be any unit direction. For any we call (resp. ) the minimal speed of propagation (in the direction of ) of the reaction-advection-diffusion equation with an advection field and a reaction term (resp. diffusion term ). Then,
[TABLE]
and
[TABLE]
The proof of this theorem will be done in Subsection 2.2 below. We mention that many difficulties arose, while demonstrating this result, due to the consideration of a * heterogeneous framework*. Roughly speaking, the fact that the growth and the diffusion depend on space variables creates a difficulty in choosing a maximizer of the right hand side of (1.21) which should satisfy many properties (see Step 4 of the proof for details). We mention that the above result was proved in the homogeneous case ( and ) by Zlatoš [15]. In the present paper, we will give the proof of these asymptotics in a general framework. Furthermore, in Section 3 of this paper, we will give more details about the family of first integrals and about integrals of the form (where ) in the case where . This will give necessary and sufficient conditions, expressed in terms of the nature of the drift for the limit (1.20) to be null or not. In this context, we have Theorem 1.3 which will be announced after the following definition.
Definition 1.3
Assume that and that and satisfy (1.4) and (1.10). Let such that The trajectory of at is the largest (in the sense of inclusion) connected differentiable curve in verifying:
(i) ,
(ii) , ,
(iii) , is tangent to at the point .
In the following lemma, we describe the family of “unbounded periodic trajectories” of a vector field . The proof of this lemma will be done in Section 3.
Lemma 1.1** (unbounded periodic trajectories)**
Let be an unbounded periodic trajectory of in that is there exists (resp. ) when (resp. ) such that In this case, we say that is periodic. Then, if is another unbounded periodic trajectory of is also periodic.
Moreover, in the case That is, all the unbounded periodic trajectories of in are periodic.
Theorem 1.3
Assume that and that and satisfy (1.4) and (1.10) respectively. The two following statements are equivalent:
(i) There exists such that .
(ii) There exists a periodic unbounded trajectory of in .
Moreover, if (ii) is verified and is periodic, then for any we have
Remark 1.3
The periodicity assumption on the trajectory in (ii) is crucial. Indeed there may exist unbounded trajectories which are not periodic, even though the vector field is periodic. Consider the following function :
[TABLE]
where denotes the integer part of . This function is on , and -periodic in and . Hence the vector field
[TABLE]
is also , -periodic in and , and verifies with A quick study of this vector field shows that the part of the graph of lying between and is a trajectory of , and is obviously unbounded and not periodic. However there exist no periodic unbounded trajectory for this vector field, so the theorem asserts that for all we have
[TABLE]
As a direct consequence of Theorem 1.1 and Theorem 1.3, we get the following corollary about the asymptotic behavior of the minimal speed within large drift:
Corollary 1.1
Assume that and that and satisfy the conditions (1.4), (1.9), (1.10) and (1.16-1.17) respectively. Then,
(i) If there exists no periodic unbounded trajectory of in then
[TABLE]
for any unit direction
(ii) If there exists a periodic unbounded trajectory of in (which will be periodic for some vector ) then
[TABLE]
We mention that in the case where we have Lemma 1.1 yields that Referring to (1.23), we can then write, for
[TABLE]
It is worth mentioning that, in the above corollary, the conditions for which the limit is null or not are expressed only in terms the advection field and, moreover, it is easy to check if they are verified by or not.
Remark 1.4
In (ii), the simplest example is when is a shear flow (i.e. ). In that case, the limit (1.20) is positive if and only if is not perpendicular to the flow lines of (this condition means that the first component of is not zero).
1.1 Outline of the rest of the paper
After the announcement of the main results in Section 1, we are going to prove, in Section 2, the asymptotics of the minimal speed within large drift in any space dimension . This section will be divided into two subsections. In the first one, we prove (1.20) which deals with the asymptotic behavior of the speed in the presence of large advection only and then, in Subsection 2.2, we prove (1.21) which concerns the asymptotic behavior of the speed in a mixture of large drift and small reaction (or a mixture of large drift and a large diffusion). In Section 3, we prove many auxiliary lemmas which lead to the proof of Theorem 1.3 and Corollary 1.1 in the case where
2 Proofs of the asymptotic behaviors in any dimension
Theorems 1.1 and 1.2 were announced for domains where could be any dimension. We divide the present section into two subsections. The first subsection deals with the case where we have only a large advection and the second one deals with the case where we have large advection mixed with a small reaction or a large diffusion.
2.1 Case of large advection (proof of Theorem 1.1)
Here we prove Theorem 1.1. For this, we start by a proposition which will play an important role in the proof. For the sake of simplicity, we suppose that the diffusion matrix where is the identity matrix of In the case of any matrix satisfying (1.9), the proof of (1.20) is very similar to that in the case Indeed, we point out the simple differences in Remark 2.2 below.
Over all this proof, since the only parameter in is the factor in front of the advection we will write
[TABLE]
After supposing that the subsets and are respectively given by
[TABLE]
and
[TABLE]
Definition 2.1
We define by
[TABLE]
and we define by
[TABLE]
Remark 2.1
We can replace the supremum by a maximum in (2.27). Indeed, consider for a fixed a maximizing sequence with . We have
[TABLE]
The sequence is then bounded in and we can extract a subsequence converging weakly in and strongly in to . We then have , Since we then get
[TABLE]
and by definition of the supremum, the previous inequality is an equality, which means by the way that the weak convergence in is in fact a strong convergence.
Proposition 2.1
The functions and satisfy the following properties:
*(i) The function is convex on and moreover, and are continuous on their domains and take values in .
*(ii) .
*(iii) Either is convex and decreasing on or attains a global minimum at some point .
(iv) If is convex decreasing on , then we have
[TABLE]
(v) If attains its minimum at , then we have
[TABLE]
Proof of (i): is the supremum of affine functions, so it is convex, and hence continuous. Since , and since the constant functions belong to we have
[TABLE]
Hence, for any Besides, is well defined and continuous, and for any .
Proof of (ii): For each we define
[TABLE]
and
[TABLE]
Obviously, for any because the supremum is taken over a smaller set. Moreover, a simple computation gives
[TABLE]
Hence, for every we have
[TABLE]
and since we get
[TABLE]
On the other hand,
[TABLE]
which gives
[TABLE]
and completes the proof of (ii).
Proof of (iii): We know from (ii) that converges when . Moreover, since we then have as We distinguish now two different cases:
Case 1: Suppose that for any we have . Thus, for a fixed the definition of the limit yields the existence of such that . Let then be such that =1 and
[TABLE]
(the existence of follows from Remark 2.1). From the definition of we can conclude that
[TABLE]
which gives
[TABLE]
Having we get
[TABLE]
Thus, for every , the maximum in the definition of is attained in . Therefore, can be rewritten in this case as follows
[TABLE]
In this formulation of we maximize over . The map
[TABLE]
is convex when Hence, is the supremum of convex functions and is then convex. Moreover, converges when , and , which, with the convexity of , implies that is decreasing on .
Case 2: There exists such that . By continuity, there exists such that
[TABLE]
Proof of (iv): In the case where is convex and decreasing over we know that
[TABLE]
Thus,
[TABLE]
We conclude that
[TABLE]
Proof of (v): We use several claims to prove this last part of Proposition 2.1. The proofs of these claims are postponed at the end.
** Claim 1:** There exist and such that
[TABLE]
** Claim 2:** If and are not proportional and
[TABLE]
then for any and we have
[TABLE]
Claim 1 gives us and realizing the maximum in the definition of . If and are proportional, then (resp. ) and we define . If not, using claim 2, we know that any convex combination also realizes the maximum in the definition of . By continuity, there exists such that and
[TABLE]
and since , we then have and consequently,
[TABLE]
Since , we have
[TABLE]
On the other hand, by the definition of we have
[TABLE]
This ends the proof of (v). We are left to prove claims 1 and 2.
Proof of Claim 1**:** Let be a sequence such that and as
For each let such that and
[TABLE]
From the definition of and owing to the fact that we have
[TABLE]
However, Thus,
[TABLE]
which means . Moreover, (2.30) yields that is a bounded sequence in Therefore, we can extract a subsequence converging weakly in and strongly in to Since the convergence is strong in we get . Thanks to the continuity of with respect to we get
[TABLE]
Moreover, we have
[TABLE]
and
[TABLE]
The combination of (2.31), (2.32) and (2.33) gives
[TABLE]
On the other hand, the weak convergence in implies that
[TABLE]
Hence, converges strongly in to . We then conclude that (because is a closed subset of ) and that
[TABLE]
We can use a similar argument (we take such that as and, for each we take as a maximizer of ) to get verifying
[TABLE]
Proof of Claim 2**:** Without loss of generality, we suppose that . We consider the following functional defined by
[TABLE]
We have
[TABLE]
and thereby, we have
[TABLE]
Now, we compute explicitly. We have
[TABLE]
and using (2.34) with we get
[TABLE]
The denominator is positive because, by assumption, and are not proportional, so we can not have equality in the Cauchy-Schwarz inequality. After simplification, we obtain
[TABLE]
This completes the proof of Proposition 2.1.
Proof of Theorem 1.1. From the results of [3], it follows that for each the minimal speed is given by
[TABLE]
where is the principal eigenvalue of the elliptic operator defined by
[TABLE]
acting on the set
[TABLE]
The principal eigenfunction associated to is positive in and it is unique up to multiplication by a nonzero real number. The existence of and for any and the properties of as a function of have been studied in [1] and [3]. In particular, the function is convex and for all
We want to study the asymptotic behavior of when For this, we call and for each Referring to formula (2.35), we then get
[TABLE]
From the properties of we have is convex over and for all Moreover, it follows from above that the function and are respectively the principal eigenfunction and the principal eigenvalue of the problem
[TABLE]
We take any first integral of we multiply (2.38) by and integrate by parts over the periodicity cell Using (1.10), the boundary condition on and the fact that a.e in we obtain that
[TABLE]
Notice that the boundary term is equal to After dividing the previous equation by we get
[TABLE]
for all and (in the case of a general diffusion matrix, see Remark 2.2). Since (2.39) is true for any then
[TABLE]
Having (2.37), one then concludes that for any and for any with
[TABLE]
To complete the proof we need the following
Lemma 2.1
Let be a sequence of positive real numbers such that as Then, for a fixed the sequence of principal eigenfunctions of the problem (2.38) corresponding to converges, in strong, to a function as Moreover, is a first integral of and
[TABLE]
The proof of this lemma will be postponed at the end of the proof of Theorem 1.1.
Now, we consider any sequence in such that as Before going further on, we mention that parts (iv) and (v) of Proposition 2.1 yield that
[TABLE]
Together with (2.40), we consequently have
[TABLE]
Part (iii) of Proposition 2.1 and (2.40) lead us to two different cases according to the nature of the function The first case is when is convex and decreasing on We apply (2.40) for (where is arbitrarily chosen) together with (2.41) and we get
[TABLE]
by (2.41). Since this is true for any then
[TABLE]
by part (iv) of the proposition. From (2.43) and (2.44), we get the result in the first case.
The second case is when the function attains its minimum at We apply (2.40) and (2.41) for and Hence,
[TABLE]
Part (v) of Proposition 2.1 together with (2.43) (which is true in both cases) yield that
[TABLE]
in the second case.
Thus, in both cases, the limit of is the same. Moreover, this limit is obtained for an arbitrarily chosen sequence converging to as This implies that exists and it is equal to
[TABLE]
which eventually proves Theorem 1.1.
Now, we turn to prove Lemma 2.1 which was announced and used in the proof of Theorem 1.1.
Proof of Lemma 2.1. Let us fix and take any sequence of positive real numbers converging to as . For any the principal eigenfunction is unique up to multiplication by a nonzero constant. Hence, we can assume that
[TABLE]
We multiply (2.38) (where ) by and we integrate by parts over the periodicity cell Owing to the periodicity of and together with the condition (1.10), we then get
[TABLE]
for all As direct consequences of (2.46), we have (from a certain rank )
[TABLE]
and
[TABLE]
In other words, the sequences and are bounded whenever is fixed. Thus there exists such that, up to extraction of a subsequence,
[TABLE]
Equations (2.45) and (2.46) imply that the sequence is bounded in It follows that there exists such that, up to extraction of a subsequence, in weak, in strong, and almost everywhere in as Thus, the function is -periodic with respect to The strong convergence in leads to
[TABLE]
and hence in We replace by in (2.38), divide the equation by and we pass to the limit as in the sense of distributions. From the weak convergence of and the boundedness of one then has in . Consequently, almost everywhere in That is, is a nonzero first integral of
Now, we multiply (2.38) (where ) by we integrate by parts over and we pass to the limit as We notice that
[TABLE]
as (from the strong convergence in , the boundary term converges to [math]. We use the weak convergence in for the limit of the first term), and
[TABLE]
Hence,
[TABLE]
On the other hand, we take and in (2.39), we multiply the equation by the fixed and we pass to the limit as to obtain
[TABLE]
However, in strong as Also, is bounded in (we simply divide (2.38) by and integrate by parts over . This leads to
[TABLE]
hence, is bounded due to (2.47)). Consequently,
[TABLE]
Referring to (2.49), we finally obtain
[TABLE]
Since in strong, (2.46) yields that converges to
[TABLE]
Equation (2.49) again yields that
[TABLE]
Eventually, converges to in strong and this completes the proof of Lemma 2.1.
Remark 2.2** (about the proof of (1.20) in case of a diffusion )**
In this remark, we detail some differences which arise in the proof of (1.20) when we consider, instead of the identity matrix, a general diffusion matrix satisfying (1.9). The eigenvalue problem (2.38) becomes
[TABLE]
Similar to the case where the principal eigenfunctions of (2.53) will be positive in , unique up to multiplication by a nonzero constant, and -periodic with respect to (see section 5 in [1]). Consequently, for any sequence in such that as multiplying (resp. dividing) (2.53), for any and for by and integrating by parts over the cell implies the boundedness of ( resp. ) in On the other hand, the equation (2.39), which was essential in the proof when will be replaced by
[TABLE]
for all and in where
[TABLE]
The result of Lemma 2.1 will remain true with (2.41) replaced by
[TABLE]
Finally, due to the coercivity of the diffusion matrix given in (1.9), we can be easily adapt the proof of the results of Proposition 2.1 to the function defined by
[TABLE]
which coincides with defined in (2.28) when
2.2 Cases of large advection with small reaction or large diffusion (proof of Theorem 1.2)
We mention that the proof of (1.22) is very similar to that of (1.21). We are going to prove the limit in (1.21) only.
Step 1. Existence of a maximizer for (1.21)****: At the beginning, we prove that is finite. For any we define
[TABLE]
and we write We notice that and, thanks to Poincaré’s inequality, we get
[TABLE]
for some independent of and where is given by (1.9). Moreover, it follows from the fourth line in (1.10) that
[TABLE]
Thus, applying Cauchy-Schwarz inequality, we get
[TABLE]
Hence, for any such that is not constant,
[TABLE]
since Consequently, the quantity
[TABLE]
is well defined. We mention that if for each then and the supremum is a maximum attained by any nonconstant In what follows, we have to treat the case where there exists at least a (nonconstant a.e in ) such that and consequently
Now, we prove that the above supremum is actually a maximum. We take as a maximizing sequence. As it was done in (2.56) above, we may assume that
[TABLE]
Moreover, we can consider
[TABLE]
as a maximizing sequence. The advantage is that is bounded in (due to (2.57)) and in since for each As a consequence, there exists such that
[TABLE]
Thus,
[TABLE]
and as the weak limit of first integrals of
On the other hand, strong convergence in the definition of the maximizing sequence and (2.58) yield that
[TABLE]
We mention that cannot be constant almost everywhere in because in this case one gets and this contradicts the assumption that
Therefore, it follows from (2.59) and the definition of that
[TABLE]
and so, the maximum of (1.21) is attained at
We also obtain which yields that converges to in strong as .
Step 2. Theorem 1.1 yields that, for any the limit of is related to the set
[TABLE]
As we did at the beginning of Step 1, we write each as where
[TABLE]
For each with we have We also have Owing to (2.56) together with the facts that and is globally bounded, one consequently gets
[TABLE]
On the other hand,
[TABLE]
Thus, as Now, we write
[TABLE]
and we use the fact that
[TABLE]
to obtain
[TABLE]
For such ’s, having it then follows from (2.60) and (2.61) that
[TABLE]
since
As we have Hence,
[TABLE]
whenever
Moreover, if then we have:
[TABLE]
Step 3. For a fixed we know from Theorem 1.1 that
[TABLE]
for some with However,
[TABLE]
since Hence, in as Consequently, the sequence is bounded in and thus, there exists such that
[TABLE]
Strong convergence in yields that in and Besides, weak convergence implies that Therefore, a.e in and is constant a.e in One concludes that as These results together with (2.62) and (2.64) lead to
[TABLE]
Step 4. To prove equality, we take any maximizer (non constant) of
[TABLE]
over It is easy to see that for any is also a maximizer of Thus, we can choose without any loss of generality so that
We want to prove that there exists such that for any we can find a maximizer of satisfying
[TABLE]
Using Poincaré’s inequality (as in Step 1), we have for some depending only on the set Moreover, the function is positive and belongs to Thus, for any (where is given by (1.9)), we have
[TABLE]
Now, let’s fix in Since one can then find a constant depending on and such that
[TABLE]
The continuity of together with (2.67) and (2.68) yield that there exists such that
[TABLE]
We call
[TABLE]
Then, verifies (2.66) and it maximizes since does and since Moreover, since Imitating the argument used in Step 3, one gets that, up to the extraction of a subsequence, strongly in
Applying (2.63) for (where ) and since we then get for any
[TABLE]
In other words,
[TABLE]
Passing to the limit as in (2.69) and using the strong convergence of in we obtain
[TABLE]
This inequality and (2.65) finish the proof of (1.21).
3 The two dimensional case ()
In this section, the space dimension is In what follows, we find the form of any divergence free advection field and then prove Theorem 1.3 after passing by many auxiliary Lemmas. We first start by proving Lemma 1.1 which was announced in Section 1.
Proof of Lemma 1.1. We first prove by contradiction that, for , all the trajectories are -periodic. Indeed, suppose that there exists a periodic unbounded trajectory , which is not -periodic. Then it is periodic for some , . By periodicity of , is also an unbounded periodic trajectory of in , different from . Moreover, , because two different trajectories never intersect.
We set
[TABLE]
and
[TABLE]
We have , otherwise is a horizontal straight line and is -periodic.
We also define
[TABLE]
[TABLE]
Let . Since is a simple curve, has exactly three connected components, two of which are unbounded. Let be the bounded component of , we set
[TABLE]
which is a compact subset of , with boundary . We define then
[TABLE]
and
[TABLE]
We define the following curve:
[TABLE]
The curve is a simple connected curve, which splits into several connected components, two of which are unbounded. Let be the left unbounded component, more precisely the component containing the set such that , and be the right unbounded component, the one containing the set such that .
Let and be two points of , then, following , there is a continuous path in from to . This path must cross for obvious reasons of continuity. However, it can not cross or because of the definition of and .
Hence this path, which is a subset of must cross , which is a subset of . This leads to
[TABLE]
This is a contradiction and proves the lemma for .
In the case , we need to prove that if there exists an periodic unbounded trajectory, then any other unbounded periodic trajectory will be periodic. The idea is to reduce this proof to the proof of the case . Suppose that there exists an periodic unbounded trajectory of in . We set , and such that is a direct orthonormal frame of . In this new basis, is periodic in the directions, with .
Thus, is bounded in the direction. Suppose now that is such that is an unbounded periodic trajectory. Let such that
[TABLE]
and such that
[TABLE]
We have that and are two trajectories of in , and they split into three connected components, one of which is bounded in the direction. We shall denote it . By construction . Since two different trajectories can not intersect, must stay inside , and using the same procedure as the case we conclude that is periodic.
Proposition 3.1
Let or where is defined in (1.4). Let , -periodic with respect to and verifying the conditions
[TABLE]
Then, there exists , -periodic with respect to , such that
[TABLE]
Moreover, is constant on every connected component of .
Remark 3.1
We mention that the representation is already known in the case where the domain is bounded and simply connected or equal to whole space However, the above proposition applies in more cases due to the condition on (see the proof below). For example, it applies when is the whole space with a periodic array of holes or when is an infinite cylinder which may have an oscillating boundary and/or a periodic array of holes.
Proof of Proposition 3.1. We first consider the case where . We define
[TABLE]
If , we denote by its class of equivalence in , and if is - periodic, we denote the function verifying .
Finding which is -periodic with respect to and verifying (3.72), is then equivalent to finding verifying (3.72). We consider the map defined as follows:
[TABLE]
We claim that is a divergence free vector field on in the sense of distributions. Indeed, if we then have
[TABLE]
because of the conditions (3.71). Moreover, we clearly have . Now, we denote by the matrix of a direct rotation of angle .
The next step is to solve the following equation in :
[TABLE]
A function is a weak solution of (3.73) if we have, for all
[TABLE]
We set , so that, thanks to Poincaré’s inequality,
[TABLE]
is an inner product on . Moreover, is a continuous linear form on , so by the Lax-Milgram theorem, there exists a unique solution of (3.74). The condition is not restrictive because only the gradients of functions belonging to appear in the weak formulation (3.74). We then have such that in the sense of distributions
[TABLE]
This implies that is a harmonic distribution on . Using Weyl’s theorem (see [10]), we conclude that is a harmonic function on the torus and therefore is constant. Indeed, if is a harmonic scalar function on , then by multiplying by and integrating by parts we get
[TABLE]
which leads to is constant on .
Finally, since and is constant, we conclude that, in the sense of distributions:
[TABLE]
We set , which solves (3.72) in . The corresponding -periodic function solves then (3.72) in . The regularity of in is a consequence of the Schauder estimates for the Laplace equation.
The fact that is constant on every connected component of is a straightforward consequence of the identity
[TABLE]
For the case , we symmetrize the set (resp. the cell ) and the field with respect to the line and we call the resulting set by (resp. ) and the resulting vector field by For the sake of completeness, we mention that is given by
[TABLE]
One can easily notice that We then generate (in the direction ) a periodic set from the set in order to reduce this case to the case . For that purpose, since we already have (take and in (1.4)), we define in the following way
[TABLE]
Thus, is periodic in the direction of and and is the disjoint reunion of translations of . We set
[TABLE]
and the procedure used for the case still works in this case and gives , -periodic, solving
[TABLE]
Corollary 3.1
Let
[TABLE]
where , such that , is given by Proposition 3.1. Then,
[TABLE]
Proof. We first mention that if is the advection vector field and is the function given by Proposition 3.1, then . Indeed, and we have
[TABLE]
Now, using remark 1.1, we conclude that is a first integral whenever is a Lipschitz function.
Remark 3.2
For any , we have Indeed, and which gives
[TABLE]
where the matrix of a direct rotation of angle and Let defined by (3.76), then on and is constant on every connected component of , and so is We then have
[TABLE]
Hence,
[TABLE]
because has no boundary. Thus,
[TABLE]
We recall that the family of first integrals always contains the set However, this does not, in general, provide enough information about the following quantities
[TABLE]
which appear in the asymptotics of the minimal speed within a large drift. Lemmas 3.1 and 3.2 are devoted to prove Theorem 1.3 and treat this situation.
Definition 3.1
Throughout the rest of this section, we denote
[TABLE]
*Moreover, if (resp. ), denotes its class of equivalence in (resp. ), and if is -periodic, denotes the function verifying for almost every .
We also define the canonical projection on by
[TABLE]
We need the following preliminary lemma in order to prove the main theorem of this section:
Lemma 3.1
Let be the set defined in (3.80), be an open subset of , and given by (3.72). We suppose the following:
(i) for all
*(ii) the level sets of in are all connected.
Then, for every , there exists a continuous function such that*
[TABLE]
Proof. For every , we denote by the level set
[TABLE]
It follows from (i) that does not vanish on ; and hence, has to be constant on the connected components of the level sets of because
[TABLE]
By (ii), the level sets of in are connected, so is constant on every level set of . If , we have , and is constant on , so depends only on . Then, we can define by
[TABLE]
To prove the continuity of we suppose, to the contrary, that there exists such that is not continuous at . The set is a curve because is open and does not vanish on by (i). The function then has a “jump” along the level set , which is impossible because , and so has a trace on .
Recalling Definition 1.3 of the trajectories of an advection field we mention that:
Remark 3.3
*It is obvious that is constant on every trajectory of . Moreover, the trajectories of make a partition of such that .
If is the trajectory of in , and is the trajectory of in , then we have*
[TABLE]
In other words, the trajectory of the projection is the projection of the trajectory.
Definition 3.2
We define here the set of “regular trajectories” in . Let
[TABLE]
We denote by the connected components of .
The set is exactly the union of the trajectories which are simple closed curves in . This is proved in the following proposition:
Proposition 3.2
Let , then is a simple closed curve in .
Proof. Let . By definition of , is closed. Moreover, since is a subset of which is a compact set, is then compact. attains then its minimum on at some point . Since we have . We then get
[TABLE]
Besides, we know that is constant on . Let , and such that . Since does not vanish on because of (3.84), we get . Using the Stokes formula on with the vector field gives
[TABLE]
Thus,
[TABLE]
where denote the 1-dimensional Lebesgue measure. The trajectory is then a curve with finite length. It has no self intersection point because such a point would be a critical point of . has no boundary because, if , since is closed, , and so and we could extend at the point .
Consequently, if , is a simple closed curve with finite length.
Lemma 3.2
Let as in the previous definition. Then,
(i) all the level sets of in are connected,
(ii) all the level sets of in are homeomorphic,
(iii) has exactly two connected components and such that
[TABLE]
Proof. Let such that be a non empty level set of in . Let be one of its connected components. is a curve because and does not vanish on by definition of . Let , we consider the following ODE:
[TABLE]
By classical ODE theory, there exists a maximal interval with on which there exists a solution of (3.85). Moreover, either (resp. ) is a critical point of or belongs to , otherwise we could extend the maximal solution to a larger interval, which is impossible. We set
[TABLE]
Since (resp. ) is equal to (resp. ) for some point we then have
[TABLE]
We define the function on by
[TABLE]
We claim that for every . Indeed, we have
[TABLE]
which leads to . Thus, on , is equal to the constant . Moreover, is continuous with respect to due to the continuity of the solution of an ODE with respect to initial data. We set now
[TABLE]
We need the following two claims, whose proofs are postponed at the end, in order to prove that
Claim 1: For every , there exists such that for every
[TABLE]
and as a consequence is an open subset of .
Claim 2: has exactly two connected components and such that
[TABLE]
and either (resp. ) is a connected component of or contains a critical point of .
By definition, is the union of connected components of level sets of on which does not vanish. Hence, Moreover, is connected because, by construction, any point can be connected to , which is a connected set. Finally, because it contains . We then can affirm that .
Suppose that this inclusion is strict, then we can find . Let , and a continuous path connecting and . By continuity, it crosses However, because, by claim 2, the connected components of are either connected components of , which do not intersect , or contain a critical point of , and are thus removed from by construction.
Properties (i) and (ii) are straightforward, because a level set of is a level set of and can be written in the form , and is a homeomorphism for any . The level sets are then all homeomorphic to , which is connected.
Property (iii) has already been proved for , and . Eventually, the proof of the lemma is complete.
Proof of claim 1. We prove this claim by contradiction. First, we have
[TABLE]
where we denote . Moreover, is a continuous function, because of the continuity of the solution of an ODE with respect to the initial conditions. Therefore, is compact, as the image of a compact by a continuous mapping.
Suppose now that claim 1 is not true. Then, there exist and such that and .
Let defined on be an arc length local parametrization of such that . We define the following mapping for :
[TABLE]
We have and
[TABLE]
The linear mapping is then an automorphism of , because
[TABLE]
is an orthogonal basis of . The application of the inverse mapping theorem then gives two open sets , with and with , such that is a local diffeomorphism form to . This prevents from belonging to and then gives a contradiction.
The fact that is an open subset of is a straightforward consequence, because if , then for small enough and so we can find a neighborhood of in .
Proof of claim 2. Let , then or . indeed, by continuity of we have . Suppose by contradiction that , then for sufficiently small we have . Let be a sequence in converging to . We have then as . Hence for large enough we have , so by claim 1, there exists such that for large enough , leading to which contradicts the fact that .
We now prove that has exactly two connected components. Let and . We have, using the previous remark,
[TABLE]
Since is a nonempty bounded open connected subset of , its closure is a nonempty compact connected subset of . Therefore is the decreasing intersection of nonempty connected compact subsets of , and is then a connected nonempty compact subset of . Similarly, is connected.
Finally, we prove that (resp. ) is either a connected component of or contains a critical point of . We suppose then that does not contain any critical point of , it must then contain a point of , otherwise for any the solution of (3.85) could be extended at the point , and this would contradict the definition of . We denote by the connected component of containing . We are left to prove that . First, we know that is a regular simple closed curve, because it is a connected component of a level set of on which does not vanish. We have then . Moreover the trajectories of intersecting the boundary of follow the boundary of since on , so . We conclude that , and since and are both connected simple closed curves we get . Similarly, we get that contains a critical point of or is a connected component of .
Proof of Theorem 1.3. Using (3.72), we have for any
[TABLE]
Let such that is a critical value of . Using the co-area formula ([7], [8]) we get
[TABLE]
Moreover, from Sard’s theorem (see [13] for eg.), since is , , where denotes the Lebesgue measure on It follows that
[TABLE]
Since we get
[TABLE]
We now use Lemma 3.1 to get continuous such that
[TABLE]
We define the function by and , and we obtain
[TABLE]
If we define
[TABLE]
then it follows from dominated convergence theorem that
[TABLE]
We now prove (i) (ii) by contraposition. We suppose that there exist no periodic unbounded trajectories of . In , the trajectories of are exactly the level sets of . We consider the following set
[TABLE]
Let and let be the connected component of containing . We claim that is a surjection from to . For that purpose we prove that is open and closed in .
Let , and sufficiently small to have . Let such that , then which leads to , so is open in .
On the other hand, let be a sequence of converging to . Since is open then, for sufficiently small, . Hence, for large enough, we have , so there exists and such that and . Finally, let such that , then there exists such that , which leads to is closed in .
Now, by definition, and only contain “regular” trajectories of , and so does . By assumption, there exist no periodic unbounded trajectories of , so all the trajectories of in are bounded. Moreover, is the disjoint reunion of two bounded, regular, trajectories of . All the trajectories of in are level sets of , and, by a compactness argument we get that is bounded in .
From this boundedness, we obtain that is a bijection. Indeed, if it is not injective, since is connected we would have a path connecting two different points and of , such that , and by periodicity, could not be bounded.
We conclude that is a measure preserving bijection, by definition of the measure on . We get then
[TABLE]
where is the unit outward normal vector field to . Finally is the union of two level sets and of in , which are both simple closed curves, so we can write
[TABLE]
with
[TABLE]
because the integral of the unit normal on a closed curve in is zero. Therefore, using (3.86) and (3.87), we get
[TABLE]
for all .
We now prove (ii) (i). Let , and , such that is periodic and unbounded such that is minimal. Let be the connected component of containing . We define as previously for sufficiently small in order to have . Let , we define to be the connected component of containing . Let , and such that is an orthonormal frame of . We set
[TABLE]
Using similar arguments to (i) (ii), we get that is a measure preserving bijection from to , and we have
[TABLE]
The boundary of consists then of the connected pieces and of level sets of , and two segments, which are and . We have . By periodicity of , and the fact that the outward unit normal vector on is the opposite of the outward unit normal vector on we get
[TABLE]
Moreover, we have
[TABLE]
where is still the matrix of a rotation of angle . Besides,
[TABLE]
It suffices now to consider a function defined by which is not constant on , so we just need to consider a function which has compact support in , but is not identically zero. This way we get and we obtain
[TABLE]
We set then
[TABLE]
The function obviously belongs to , and using (3.86), all the terms in the sum vanish except for the integral on , so
[TABLE]
This proves (ii).
In the last part of the theorem, we need to prove that whenever , it is proportional to , where is such that all the unbounded periodic trajectories of in are periodic.
For that purpose, we return to the previous computations. We know that for sufficiently small we have
[TABLE]
Hence, for any we have
[TABLE]
which remains true at the limit . Using (3.86) we get
[TABLE]
which gives
[TABLE]
for any This is equivalent to say
[TABLE]
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