Time evolution of the Navier-Stokes flow in far-field
Masakazu Yamamoto

TL;DR
This paper establishes asymptotic expansions for the Navier-Stokes flow in the far-field, clarifying large-time behaviors and velocity evolution using renormalization and Biot-Savard law.
Contribution
It introduces a high-order asymptotic expansion for the velocity in far-field Navier-Stokes flow under specific initial conditions.
Findings
Derived high-order asymptotic expansion for velocity.
Clarified scalings and large-time behavior of solutions.
Provided asymptotic behavior as time approaches infinity.
Abstract
Asymptotic expansion in far-field for the incompressive Navier-Stokes flow are established. Under moment conditions on the initial vorticity, technique of renormalization together with Biot-Savard law derives an asymptotic expansion for the velocity with high-order. Especially scalings and large-time behaviors of the expansions are clarified. By employing them, time evolution of velocity in far-field is drawn. As an appendix, asymptotic behavior of solutions as time variable tends to infinity is given.
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**Time Evolution of the Navier-Stokes Flow in Far-field
** Masakazu Yamamoto (Graduate School of Science and Technology, Niigata University)
Abstract.
Asymptotic expansion in far-field for the incompressive Navier-Stokes flow are established. Under moment conditions on the initial vorticity, technique of renormalization together with Biot-Savard law derives an asymptotic expansion for the velocity with high-order. Especially scalings and large-time behaviors of the expansions are clarified. By employing them, time evolution of velocity in far-field is drawn. As an appendix, asymptotic behavior of solutions as time variable tends to infinity is given.
1. Introduction
We consider spatial decay of solutions to the incompressible Navier-Stokes equations in whole space. In several preceding works, decay-rate of solutions as and as are established by deriving asymptotic expansions. Those expansions require fast-decay for the initial data and solutions. However, even if the initial data decays fast, the velocity decays slowly as . This structure of solutions disturbs to derive asymptotic expansions with high-order. By studying the related vortex equation and employing Biot-Savard law, we avoid this difficulty. For simplicity, we treat only two dimensional case. Here we study the following initial-value problem:
[TABLE]
where and denote unknown velocity and pressure, respectively. The solenoidal condition also is assumed for the given initial velocity . Well-posedness, smoothness and global existence on time of solutions are very important for this problem. Those questions are solved in several studies (for example, see [10, 12, 13, 14, 19, 20, 34] and references therein). In this paper, we treat a smooth and global solution which satisfies that
[TABLE]
for and any , where is the decay-rate of two dimensional gaussian in . For why the case needs the special treatment, see the sentences under proof of Lemma 2.4 in Section 2. Those estimates are confirmed under several frameworks by applying the solenoidal condition (cf.[2, 18, 24, 25, 30, 31, 35, 36]), and give the upper bound of decay-rate of velocity as . The lower bounds are established by an asymptotic expansion. It is well-known that fast decay of is required to introduce the asymptotic expansion. For the heat equation, spatial decay of solutions are inherited from an initial data. Whereas for (1.1), decay of as is not controlled by . More precisely, even if , then
[TABLE]
as for any fixed (cf.[1, 3, 26]). Since the asymptotic expansions introduced in the preceding works need fast decay of as , the polynomial decay (1.3) is troublesome. Similar problem is appearing in several equations which contain nonlocal operators. For example, far-field asymptotics of solutions to a semi-linear anomalous diffusion equation are studied in [4, 15, 37]. In those works, spatial decay of solutions are clarified by using the idea of spatial renormalization. Now we are interested to far-field asymptotics of the velocity . The spatial renormalization may solve it. However, if we choose this tool, then estimates should be complicated. In this paper, we employ the related vorticity instead of the spatial renormalization. The vorticity is given by and fulfills that
[TABLE]
where and . From the definition and the solenoidal condition, it is natural that for . Note that the vorticity is a scholar-field in two dimensional case and restores the velocity through Biot-Savard law:
[TABLE]
We emphasize that decay of the vorticity as is contralled by the initial vorticity . Indeed it is satisfied that
[TABLE]
for and some (see for example [21, 23]). Those estimates originally are derived from the energy methods. The first and second inequalities seem to discontinuous for . More precisely, the second inequality with has the extra singularity as . In (1.6), we set the simple estimate for since a natural singularity is little complicated (see the sentences before References). Reader may confirm them by the - estimates which are in proof of Proposition 2.5 in Section 2 with Gronwall type technique. Those estimates suggest that, on and are canceled in far-field. This structure of the vortex will play same role as the spatial renormalization in our main results. From (1.6) we can define an asymptotic expansion of in far-field with arbitrary high-order. Since the velocity is connected to the vorticity through Biot-Savard law, we expect that an asymptotic expansion with high-order is determined also for . Those idea firstly are established by Kukavica and Reis [22], and they showed the following estimate:
For and ,
[TABLE]
as . Here are assumed.
This estimate describes the asymptotic expansion of in far-field with arbitrary high-order since for large . Namely this estimate suggests that and the summation of are cancelled in far-field. Particularly, since as when (see Lemma 2.2), we see from this estimate that (1.3) is essential. On the other hand, large-time behavior of is covered yet. Especially time evolutions of the coefficients are not clarified. The assertion of our main theorem will solve them. By applying Duhamel principle and the solenoidal condition to (1.4), we obtain that
[TABLE]
where denotes the convolution in space. Since for is assumed and holds, decays fast as as (1.6). Also in far-field, decays fast (see Proposition 2.5). Biot-Savard law yields from (1.7) that
[TABLE]
Here is the tensor operator combined from the Riesz transforms. More precisely, we define as following.
Definition 1.1**.**
For and , we denote that
[TABLE]
though, for a constant ,
[TABLE]
where and are the Riesz transforms.
If we choose the vertical basis, then is arranged as
[TABLE]
Therefore we see Hausdorff-Young inequality for with .
The integral equation (1.8) is equivalent to the usual form
[TABLE]
where and is Helmholtz-Fujita-Kato projection. Both (1.8) and (1.9) contain the Riesz transforms in their nonlinear terms. Due to effects of them, decays slowly in far-field as (1.3). Throughout this paper, we adopt (1.8). The asymptotic expansion of with low-order is given by summation of
[TABLE]
and
[TABLE]
for and . Indeed, the following estimates are known.
Proposition 1.2**.**
Let and for . Assume that the solutions of (1.1) for and of (1.4) fulfill (1.2) and (1.6) for , respectively. Then
[TABLE]
as for . In addition, if , then
[TABLE]
as for .
Those estimates are developed by Carpio [6], and Fujigaki and Miyakawa [11] essentially. We find and which satisfy (1.2) and (1.6), respectively, at least if is sufficiently smooth or small (see [7, 14, 18, 21, 23] and also Lemmas 2.3 and 2.4 in Section 2). Since the scaling properties for are fulfilled, Proposition 1.2 yields the large-time behavior of (see Lemmas 2.1 and 2.2). The identity of logarithmic decay on (1.12) is revealed in our main result. Asymptotic expansion of this type is firstly introduced by Escobedo and Zuazua [9] for the convection-diffusion equation. On several frameworks, large-time behavior and asymptotic expansion of Navier-Stokes flow are studied by many authors (for example, see [3, 5, 8]). In [28], an asymptotic expansion is provided without the moment condition on initial data. Moreover, by setting the Hardy space as framework, they draw spatial decay of solutions. Here we choose the other way to lead the spatial structure of the solution, i.e., we study the estimates in weighted spaces as in [22]. To describe far-field asymptotics, we use
[TABLE]
instead of for and .
Proposition 1.3**.**
Let and for . Assume that the solutions of (1.1) for and of (1.7) fulfill (1.2) and (1.6) for , respectively. Then
[TABLE]
as for , and
[TABLE]
as for .
This proposition is shown in the similar way as in proof of our main result (see the sentences after proof of Theorem 1.4). From the same view point as above, we see from this proposition that gives far-field asymptotics of . Indeed . Moreover, large-time behavior of also is clear. In fact, applying (1.2) and (1.6) to the right-hand side of we obtain that for and , and . Namely converges to as asymptotically. Those profiles are obtained by the following procedure. By expanding the nonlinear term on (1.8), we see that
[TABLE]
where
[TABLE]
Here we used that . From the term of initial-data, we get (see Lemmas 2.3 and 2.4). Taylor theorem guarantees that the remained term decays fast and we conclude Propositions 1.2 and 1.3. Those two propositions give the asymptotic expansions of with second order. The renormalization in time yields one with higher-order. For some related equations, the theory for renormalization is developed in [16, 17, 27]. To apply the renormalization to our model, asymptotic profiles of are required. From Biot-Savard law, it is natural that the profiles of are given by , i.e.,
[TABLE]
for and . Those terms are also derived from (1.7) directly through the same way as in [6, 9, 11]. Then the asymptotic profiles of on (1.8) are provided by the products of and . More precisely, converges to the sum of
[TABLE]
asymptotically (see Corollary 2.6). Throughout this paper, the indexes under symbols indicate their scalings. Namely and
[TABLE]
hold for . Clearly, those functions satisfy that for any . By renormalizing by , we expand the above remained term :
[TABLE]
where
[TABLE]
and
[TABLE]
Now we remark that, if we put in instead of , then this term diverges to infinity. Indeed, from (1.16),
[TABLE]
since . From the same view point, we should confirm that is well-defined (see Proposition 2.7). The last step is on the same way, i.e., we renormalize in by :
[TABLE]
where
[TABLE]
and
[TABLE]
Combining the above formulas, the nonlinear term of (1.8) is expanded as
[TABLE]
Here the symbol means the ‘remained’ term. In fact, we will show that
[TABLE]
as for , and
[TABLE]
as for . Namely decays fast in far-field. Since also decays fast in far-field, renormalization with space-variable is not required. Then we know that the above procedure is one with time-variable. A combination of (1.20), (1.21) and Lemma 2.4 in Section 2 provides our main result.
Theorem 1.4**.**
Let and for . Assume that the solutions of (1.1) for and of (1.7) fulfill (1.2) and (1.6) for , respectively. Then
[TABLE]
as for , and
[TABLE]
as for , where and are defined by (1.10), (1.13), (1.17) and (1.18).
Here we remark that in (1.10) are defined for any if . This theorem suggests that the remained ingredients of velocity are decaying or growing slowly in far-field as . The functions on expansion have the following structures. Firstly, Härmander-Mikhlin type estimate says that are not in (see Lemma 2.2). For , and satisfy
[TABLE]
for and
[TABLE]
for and . For , and fulfill that
[TABLE]
as for , and
[TABLE]
as for and .
The assertions of Theorem 1.4 with provide sure the large-time behavior of solution. Indeed, from (1.22) and (1.23), we see that and . Moreover (1.25) are sharp since are converted to
[TABLE]
and
[TABLE]
Here we used (1.16) and that . However, as far as we concern (1.24), behaviors of as are not clear. In order to clarify it, we introduce the better functions. For , we expand , then
[TABLE]
where and are defined by (1.10), and
[TABLE]
and
[TABLE]
For , we choose
[TABLE]
instead of . We confirm later that
[TABLE]
as . Here, for , we see that
[TABLE]
for , and that
[TABLE]
for and . Moreover we will show that
[TABLE]
as for . Therefore we conclude (1.24) and obtain our second assertion.
Theorem 1.5**.**
Let and for . Assume that the solutions of (1.1) for and of (1.7) fulfill (1.2) and (1.6) for , respectively. Then
[TABLE]
as for , where and are defined by (1.10), (1.11), (1.17), (1.18), (1.26) and (1.27) In addition, if , then
[TABLE]
as for .
Since (1.22), (1.23), (1.25), (1.29) and (1.30) hold, large-time behaviors of any terms on the expansion are clear. We emphasize that the first assertion is sharp under the condition since this assumption is compatible with (see Lemmas 2.3 and 2.4 in Section 2).
Theorems 1.4 and 1.5 provide the sharp estimates for asymptotic expansions with fourth order. If we try to develop such estimates based on (1.9), then at least the property is required. However this contradicts (1.3). Hence we employ the vorticity and adopt (1.8).
Notations.
For vectors, we abbreviate them by using the same letters, for example, . For and , we denote and . We often omit the spatial variable from functions, so . For vector-fields and , the convolution of them is simply denoted by . Hence is scalar here. We symbolize that and . The length of a multi-index is given by , where . We abbreviate that and . We define the Fourier transform and its inverse by and , respectively, where . The Riesz transforms are defined by for and . For the tensor , see Definition 1.1 and the added sentence. Similarly , where . For , denotes the Lebesgue space and is its norm. For a vector-field and a tensor , we abbreviate their norms as and . We denote the two dimensional gaussian and its decay-rate in by and , respectly. Namely for . Throughout this paper, the indexes under symbols mean those scalings or decay-rates in time. For example, for , and as for . Various positive constants are simply denoted by .
2. Preliminaries
In this section, we prepare several lemmas which are used to confirm our main results. Structures of the asymptotic expansions are clarified by using the following lemmas.
Lemma 2.1**.**
Let and a measurable function fulfill that and for . Then .
Lemma 2.2**.**
For and are bounded, and and hold for .
Proof of Lemma 2.1 is straightforward and Lemma 2.2 is confirmed by Hörmander-Mikhlin estimate (see for example [33, 39] and [32, Theorem 2.3]) and elemantary calculus.
We consider the linear heat equation with initial-data , then we see the following lemmas.
Lemma 2.3**.**
Let and for . Then
[TABLE]
as for , where are defined by (1.10). In addition, if , then
[TABLE]
as for .
Proof.
We separate the domain to by a positive function such that as , then by Taylor theorem we see that
[TABLE]
Thus, by Lemmas 2.1 and 2.2, we get that
[TABLE]
and conclude the first assertion. Proof for the second assertion is straightforward. ∎
Here we used ‘Hausdorff-Young-type inequality’ in the last estimate. Namely, for and , we see from Hölder inequality that . Thus Fubini theorem says that . Hereafter we call the estimates of this type also by ‘Hausdorff-Young inequality’ simply.
Lemma 2.4**.**
Let and for . Then
[TABLE]
as for , and
[TABLE]
as for .
Proof.
Taylor theorem also gives that
[TABLE]
where
[TABLE]
and
[TABLE]
Hence
[TABLE]
and
[TABLE]
Thus we get the first assertion from Lemmas 2.1 and 2.2. Here the second part originally is
[TABLE]
Therefore, in the same way as above, we obtain the second assertion, and complete the proof. ∎
By the way, upon the condition on above lemmas, we see that since Taylor theorem gives that
[TABLE]
Therefore, in (1.2), case requires special treatment. However it is not essential in our proofs.
In order to employ the renormalization, we prepare the following estimate:
Proposition 2.5**.**
Let and for . Assume that the solutions of (1.1) for and of (1.7) fulfill (1.2) and (1.6) for . Then satisfies that
[TABLE]
for , where are defined by (1.14). In addition, if and satisfies (1.6) for some , then
[TABLE]
holds for .
Proof.
The first statement (2.1) is derived from the same procedure as in [6, 9, 11] together with (1.6). The derivation process of (2.2) as following without also gives (2.1). Hence we show only (2.2). Firstly (1.6) and the scaling of immediately give that Hence the singularity as is bouded by . Since for and , we see that
[TABLE]
The estimate for the first term on right-hand side is well-known. For the last term, Lemmas 2.1 and 2.2, (1.2) and (1.6) yield that
[TABLE]
In order to estimate the second term, we split the domain to or , where
[TABLE]
Then
[TABLE]
where
[TABLE]
Taylor theorem leads that
[TABLE]
and
[TABLE]
Thus, from Hausdorff-Young inequality with Lemmas 2.1 and 2.2, (1.2) and (1.6), we obtain that
[TABLE]
and
[TABLE]
The estimate for the third term is simpler than the above since Taylor theorem is not required. In fact
[TABLE]
By using ‘Hausdorff-Young inequality’ as in the sentence after proof of Lemma 2.4 on the same way as above, we obtain that
[TABLE]
The treatment for the last term is straightforward. Indeed
[TABLE]
Hence we get (2.2). ∎
Corollary 2.6**.**
Upon the assumption of Proposition 2.5,
[TABLE]
holds for , where and are defined by (1.15).
Proof.
The definitions and elementary calculus provide that
[TABLE]
By employing (1.6) and Propositions 1.2 and 2.5 and the scalings of and (see also Lemma 2.1 and Proposition 2.7) to the right-hand side, we obtain the decay as . The singularities as are coming from and . ∎
Of course Proposition 2.5 and Corollary 2.6 never give far-field asymptotics of and , respectively, since and are in . Before closing this section, we confirm the properties of terms on asymptotic expansions.
Proposition 2.7**.**
Under the assumption of Theorem 1.5, and introduced in (1.10), (1.11), (1.13), (1.17), (1.18), (1.26) and (1.27) are well-defined on . Moreover, they satisfy (1.22), (1.23), (1.24), (1.25), (1.29) and (1.30).
Proof.
From (1.2), (1.6) and Proposition 2.5, it is clear that and are in . We should show that also are well-defined. This is done in the same way as in the proof of Proposition 2.5. We define for small by
[TABLE]
then, from Taylor theorem, we see that
[TABLE]
Here we used that for the third and last parts. Hence Hausdorff-Young inequality with Lemmas 2.1 and 2.2 and (1.16) yields that
[TABLE]
for . Here the constants are independent of . Thus, for any fixed , is bounded uniformly as . Therefore Lebesgue convergence theorem concludes that is well-defined in . Similar procedure with instead of guarantees the well-definedness of . The scaling properties are proved by elementary calculus, and (1.24) and (1.25) are already shown. Then we complete the proof. ∎
3. Proof of main results
Far-field asymptotics of the first term on the right-hand side of (1.8) are clarified by Lemma 2.4. Hence, to prove Theorem 1.4, we confirm (1.20) and (1.21). In Section 2, we showed Proposition 2.5 by using (1.6). In the similar way, we prove (1.20) and (1.21) by applying Proposition 2.5 instead of (1.6).
Proof of Theorem 1.4. The term of initial-data on (1.8) is treated by Lemma 2.4. We estimate for the nonlinear term. Firstly, we consider the case that are large. The error term on (1.19) is split to , where
[TABLE]
and the separations are same as in (2.3). By Taylor theorem, we see that
[TABLE]
Thus, by Hausdorff-Young inequality with Lemmas 2.1 and 2.2 and Corollary 2.6, we have that
[TABLE]
On the same way, we obtain that . As long as , the second part fulfills that
[TABLE]
since is integrable in . We see that on the same way. Similar procedure as above applied to the right-hand side of
[TABLE]
provides that and . The fourth part is represented by
[TABLE]
Here we see from Lemma 2.2 that for . Hence
[TABLE]
We confirm on the same way that . Treatment for the last part is little complicated. We estimate for . Since the mean value theorem provides that
[TABLE]
we have that
[TABLE]
The estimate for does not require the mean value theorem, and we see that
[TABLE]
Therefore we get (1.20) and (1.21) for large . Estimates for are easier than the above. Indeed, on the same way as in the proof of Proposition 2.7, we see that
[TABLE]
Hence, under the condition , Hausdorf-Young inequality with Lemmas 2.1 and 2.2 and Corollary 2.6 yields for that Consequently we obtain (1.20) and (1.21) for and conclude the proof by Hölder embedding.
Also, by using a coupling of (1.2) and (1.6) instead of Corollary 2.6 on the similar way, we see Proposition 1.3. At last, we prove our second assertion.
Proof of Theorem 1.5. The estimate for first term on (1.8) is given by Lemma 2.3. In Section 1, we expanded the nonlinear term as
[TABLE]
The last three parts are error terms. The estimate for is given in the proof of Theorem 1.4 yet. By employing Corollary 2.6, we see (1.28) and (1.31) for the third and last parts, respectively. Here we used that . Thus we complete the proof.
Similar procedure as above are sure available in higher-dimensional cases. However, it is little tough to introduce an asymptotic expansion since the vorticity is given by a tensor and some correction terms are required in those cases (cf.[38]).
Before closing this paper, we confirm that (1.6) is not strange. The preceding works [21, 23] provide the decay rates as . We treat the singularity as . For the first term on the right-hand side of (1.7), we see that . The second term on the right-hand side yields the singularity and we see that as . Hence the singularity of is coming from Gronwall type technique applied to (1.7). If we use the condition that for some in the above, then the sigularity is mitigated.
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