Stable self-similar blowup for a family of nonlocal transport equations
Tarek M. Elgindi, Tej-Eddine Ghoul, Nader Masmoudi

TL;DR
This paper demonstrates the existence of stable self-similar blow-up solutions in a family of nonlocal transport equations modeling vortex stretching in fluid dynamics, using advanced modulation techniques.
Contribution
It introduces a novel application of modulation techniques to establish stable blow-up in nonlocal transport equations related to Euler dynamics.
Findings
Stable self-similar blow-up solutions are constructed.
The blow-up behavior is shown to be stable under perturbations.
The results connect nonlocal transport models with classical Euler vortex stretching phenomena.
Abstract
We consider a family of non-local problems that model the effects of transport and vortex stretching in the incompressible Euler equations. Using modulation techniques, we establish stable self-similar blow-up near a family of known self-similar blow-up solutions.
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Stable self-similar blowup for a family of nonlocal transport equations
Tarek M. Elgindi, Tej-eddine Ghoul, Nader Masmoudi
Abstract
We consider a family of non-local problems that model the effects of transport and vortex stretching in the incompressible Euler equations. Using modulation techniques, we establish stable self-similar blow-up near a family of known self-similar blow-up solutions.
1 Introdution
The dynamics of solutions to the 3D incompressible Euler equations is guided by many effects which are still not properly understood. Among these effects are:
- •
Non-locality,
- •
Transport,
- •
Vortex Stretching.
“Non-locality” is physically clear: in an ideal fluid, any disturbance in one location is immediately felt everywhere. “Transport” refers to the fact that while vortices produce a velocity field, they are also carried by that velocity field to different locations in space. “Vortex Stretching” is the process by which vortices are enhanced due to variations in the velocity gradient in the direction of the vortex. This is succinctly captured in the 3D Euler system as follows:
[TABLE]
Non-locality is described by the relation (called the Biot-Savart law) while the time-evolution of the vorticity is determined by the transport term and the vortex-stretching term . Notice that the incompressible Euler equation is a system of three equations and that each equation contains seven terms all coupled together through the non-local Biot-Savart law. Many authors have written about the different effects of each term, observed through numerical simulations [11], the construction of special solutions [22, 8], and the analysis of model problems [2, 5, 3, 20]. Since a finite-time singularity in the Euler equation can only happen if the magnitude of the vorticity becomes unbounded, many have highlighted the vortex stretching as the source of a possible singularity.
Wanting to understand better the qualitative nature of the vortex stretching term, Constantin, Lax and Majda [2] introduced the following model set on :
[TABLE]
From the 3D Euler equation, one just drops the transport term, makes the system into a single equation, and approximates by a zeroth order operator. In one dimension, the natural choice is the Hilbert transform . With these simplifications, they solve explicitly the equation and prove that solutions can become singular in finite time. This allows one to speculate that singularity formation is possible even in the 3D Euler equation. There is at least one major problem, however, with this model: while the transport term does not change the magnitude of the vorticity, it can counteract the growing effects of the vortex stretching term. This can be seen easily in the following simple model:
[TABLE]
set on with periodic boundary conditions and with time-dependent constant. It is not difficult to show that if is and vanishes at [math] and , then solutions to this equation are uniformly bounded in time independent of the size of . In particular, transport can act to “deplete” the growth effects of the vortex stretching term in this simple model. Thus, while the transport term cannot cause a singularity, it can stop it from happening.
After the work [2], De Gregorio [5] introduced a model that takes into account both effect vortex stretching and transport,
[TABLE]
Based on numerical simulations, De Gregorio conjectured by that the addition of the transport term should lead to global regularity. Strong evidence for this conjecture has been given in [12] and global regularity for special kind of data was given in [15]. Inspired by this conjecture, Okamoto, Sakajo, and Wunsch [20] introduced a new model where they weight the transport term with a parameter .
[TABLE]
The purpose of this model was to understand the effects of the modeled vortex stretching and transport terms. Hence, when we get the De Gregorio model and when we get CLM model. In the same idea of [2], Cordoba, Cordoba and Fontelos [4] introduced a 1D model to mimic the 2D quasi-geostrophic equation:
[TABLE]
which corresponds to in the generalized model (1.4).
Recently, Elgindi and Jeong [7] proved the existence of a smooth self-similar profile for small by using a local continuation argument. The goal here is to prove the stability of those profile for all small enough. The proof is based on the modualtion technique which has been developed by Merle, Raphael, Martel, Zaag and others. This technique has been very efficient to describe the formation of singularities for many problems like the nonlinear wave equation [19], the nonlinear heat equation [18], reaction diffusion systems [9, 10], the nonlinear Schrodinger equation [17, 13], the GKDV equation [16], and many others. Note that for (1.4) comparing to all the previous models cited above there exists a group of scaling transformations of dimension larger than two that leaves the equation invariant. Here this degeneracy is a real difficulty since one does not know in advance which scaling law the flow will select. We remark that similar results to Theorems 1 and 2 were recently established in a work of Chen, Hou, and Huang [1]. The authors of [1] are also able to find a singularity for the De Gregorio () model on the whole line using a very interesting argument with computer assistance.
Main Theorem
We introduce first the following weighted space
[TABLE]
equipped with the norm and inner product
[TABLE]
where . From now on we focus on (1.4). In [7], the authors show the existence of self-similar solutions of (1.4) of the form
[TABLE]
where solves
[TABLE]
and . When , the profile has the form:
[TABLE]
while for small
[TABLE]
with a universal constant. In fact, we also have the following expanions:
[TABLE]
[TABLE]
The main result of this work is the dynamic stability of these blow-up profiles. In particular, this allows us to construct compactly supported solutions with local self-similar blow-up and cusp formation in finite time (a phenomenon numerically conjectured to occur in the case ).
To prove the stability of the profiles we rescale (1.4). A natural change of variables to do here will be
[TABLE]
Hence, in these new variables we get the following equation on :
[TABLE]
Note that this change of variable leaves the norm of the velocity unchanged, with . This indicates that the velocity will form a cusp. Note that (1.7) is invariant under the following scaling:
[TABLE]
We will make an abuse of notation by denoting by . Actually, this will induce an instability as one can see on the spectrum of the linearized operator around the profile in (LABEL:eigenL). To fix this instability, we will allow to depend on time and fix it through an orthogonality condition. Hence, we introduce
[TABLE]
where solves
[TABLE]
and
[TABLE]
Now we linearize around by setting,
[TABLE]
where solves
[TABLE]
where
[TABLE]
Theorem 1**.**
Let be small enough and , then there exists an open set of odd initial data of the form with and where
[TABLE]
such that there exists and verifies
[TABLE]
with and as and
[TABLE]
for any . When (so that ) we have
[TABLE]
Remark 1.1**.**
The last statement of the theorem on the regularity of the velocity field when is related to the conjecture made in [14] and [21].
Remark 1.2**.**
The assumptions of the theorem do not require that be differentiable everywhere (just that and that vanishes to high order near [math]). Note also that the assumptions that can be trivially removed using Lemma 3.1 since could be replaced by a slightly rescaled version of to make the perturbation and its Hilbert transform vanish to second order at 0.
Remark 1.3**.**
Note that the open set of initial data contains slowly decaying solution, but also compactly supported solutions. Indeed, one can impose that at infinity.
Our next theorem is in the same spirit as Theorem 1. The difference is that it applies to the non-smooth self-similar solutions constructed in [7] and, thus, applies even for large. Indeed, in [7], the authors constructed a family of self-similar solutions to (1.4) which are smooth functions of the variable with speed whenever is small enough. Denoting these solutions by , we have the following stability theorem.
Theorem 2**.**
Define
[TABLE]
There exists so that if and satisfy and , then there exists an open set of odd initial data of the form with and where
[TABLE]
such that there exists and verifies
[TABLE]
with and as and
[TABLE]
for any and
[TABLE]
Remark 1.4**.**
Note that in Theorem 2 we allow the parameter to be anything in but we pay the price on the regularity, since we need to pick so that is small enough. Note also that as for any fixed . This means that as , the blow-up becomes more and more mild.
Remark 1.5**.**
The proof of Theorem 2 is sketched in Section 6; the only main difference between the proofs of Theorems 1 and 2 is the coercivity of the linearized operator and an extra change of variables in the proof of Theorem 2.
Organization of the paper
In the Section 2 we establish coercivity estimates for the linearized operator under the assumption that the perturbation vanishes to high order at [math] along with its Hilbert transform. This is the core of the argument. In the following Section 3, we modulate the free parameters and to propagate the vanishing condition on . Then we prove long-time decay estimates on (in self-similar variables) in Section 4 which show that the perturbation becomes small relative to the self similar profile as we approach the blow-up time. We establish Theorem 2 in Section 6.
2 Coercivity
Proposition 2.1**.**
There exists a universal constant so that if is small enough and if is odd, and
[TABLE]
[TABLE]
The proof of this lemma requires a weighted identity for the Hilbert transform which we show in Lemma 7.1.
Proof.
We write:
[TABLE]
[TABLE]
Observe that if is small enough, there exists a universal constant (independent of ) so that we have the following estimate:
[TABLE]
using Lemma 7.1. This follows from the following observation:
[TABLE]
The only one which is not a direct consequence of the expansion given in [7] is the first one which we see can be estimated by:
[TABLE]
Thus, we must consider only the quantity:
[TABLE]
First let us observe:
[TABLE]
Indeed,
[TABLE]
[TABLE]
by the assumptions111Note that, strictly speaking, is not twice differentiable but the equality can be made rigorous by applying the smoothing procedure in Lemma 7.2. on . This leaves us with:
[TABLE]
Next observe that
[TABLE]
This completes the proof. ∎
3 Modulation equation and derivation of the law
Since our coercivity estimate from the previous section relies on , we will use that we have the “free” parameters and to fix these conditions. To find precisely how to do this, we will just differentiate (1.19) with respect to and apply the Hilbert transform to (1.19) and evaluate both at . We will prove now by using the implicit function theorem that there exists a unique decomposition to the solution of (1.18). Indeed, in the following Lemma we fix and such that .
Lemma 3.1**.**
[Modulation] For for which and exist and
[TABLE]
there exists a unique pair so that
[TABLE]
with
[TABLE]
satisfies
[TABLE]
In fact,
[TABLE]
Proof of Lemma 3.1.
We want to find so that
[TABLE]
satisfies . Observe that
[TABLE]
while
[TABLE]
∎
Let be in with a small enough norm and let be its corresponding solution. Consequently, thanks to Lemma 3.1 the solution admits a unique decomposition on some time interval
[TABLE]
where
[TABLE]
3.1 The bootstrap regime
We will define first in which sense the solution is initial close to the self-similar profile.
Definition 3.2** (Initial closeness).**
Let small enough, , and . We say that is initially close to the blow-up profile if there exists and such that the following properties are verified. In the variables one has:
[TABLE]
and the remainder and the parameters satisfy:
- (i)
Initial values of the modulation parameters:
[TABLE]
- (ii)
Initial smallness:
[TABLE]
We are going to prove that solutions initially close to the self-similar profile in the sense of Definition 3.2 will stay close to this self-similar profile in the following sense.
Definition 3.3** (Trapped solutions).**
Let . We say that a solution is trapped on if it satisfies the properties of Definition 3.2 at time , and if it can be decomposed as
[TABLE]
for all with:
- (i)
Values of the modulation parameters:
[TABLE]
- (ii)
Smallness of the remainder:
[TABLE]
Proposition 3.4**.**
There exist universal constants such that the following holds for any . All solutions initially close to the self-similar profile in the sense of Definition 3.2 are trapped on in the sense of Definition 3.3.
Define for small enough:
[TABLE]
The proof of the proposition will be done later by using energy estimates. Before this we will derive that “law” that and will satisfy.
Indeed, we will prove the following
Proposition 3.5**.**
To ensure that
[TABLE]
it suffices to impose that and satisfy the following two relations:
[TABLE]
Proof.
Dividing (1.19) by and evaluating at and using that is odd we get:
[TABLE]
[TABLE]
By inspection, using that we see that
[TABLE]
for some -dependent numbers depending only on , and . Before finding the second law, we note the following simple fact for decaying functions with :
[TABLE]
Now we apply to (1.19) and evaluating at we will get the second law:
[TABLE]
[TABLE]
In particular, if
[TABLE]
[TABLE]
and if we get
[TABLE]
for all . In addition, one get that
[TABLE]
By using that
[TABLE]
. We deduce that,
[TABLE]
∎
4 Energy Estimates
The goal of this section is to establish energy estimates for in a suitable space. Let us first define our energy:
[TABLE]
where will be chosen to be small enough. We will prove that if is small enough, then
[TABLE]
for a universal constant .
Observe that from our choice of and in Proposition 3.5, we have the following estimate (again assuming that is small enough):
[TABLE]
for some universal constant . Next, we use \frac{\mu_{s}}{\mu}=(2+\gamma(a))\Big{(}\frac{\lambda_{s}}{\lambda}+1\Big{)} in (1.19) to deduce
[TABLE]
Taking the (weighted) inner product of (4.2) with we get:
[TABLE]
where we have used that
[TABLE]
for some universal constant independent of . Now, we have
[TABLE]
Furthermore,
[TABLE]
Now observe that
[TABLE]
and
[TABLE]
Thus,
[TABLE]
Now we establish the first derivative estimate. First we apply to (4.2) and get:
[TABLE]
Now we multiply by and integrate to get:
[TABLE]
[TABLE]
Note that is an odd function and Thus,
[TABLE]
using Proposition 2.1. It is also easy to see that, as before,
[TABLE]
once we observe that and remember that is an isometry on odd functions in whose first derivative and Hilbert transform vanish at 0. Thus it remains to estimate the commutator term:
[TABLE]
Note that and both commute with the Hilbert transform (when the argument of the Hilbert transform is an odd function). Let us first recall the form of
[TABLE]
In particular,
[TABLE]
where
[TABLE]
[TABLE]
Thus we see readily:
[TABLE]
Moreover,
[TABLE]
Now note that
[TABLE]
Thus,
[TABLE]
Thus, we get:
[TABLE]
with is a universal constant independent of (when is small enough). Now we first choose so small that we have:
[TABLE]
[TABLE]
Next, we recall that
[TABLE]
Thus we take so that and use again that is small to see that
[TABLE]
Now we prove the closure of the bootstrap.
5 Proof of Proposition 3.4
By using (4.1) and the bootstrap assumptions, one deduce that
[TABLE]
Hence, by integrating the previous inequality between and we deduce that
[TABLE]
Also, one has from (3.8) that
[TABLE]
Hence, one can easily deduce that
[TABLE]
Let an initial datum satisfy (3.4) at time . Let be the supremum of times when the solution is trapped on . Suppose that . Hence, from Definition 3.3 and a continuity argument, one of the inequalities (3.5) or (3.6) must be an equality at time . This is contradicting (5.2), and (5) for large enough which implies and concludes the Proposition 3.4.
6 Proof of Theorem 2
The proof of Theorem 2 is very similar to the proof of Theorem 1 so we content ourselves with only giving a sketch. We discuss the two key elements which are different: a change of variables and the coercivity for the linearized operator. All the non-linear estimates are almost identical.
We make the following change of variables in (1.4). First, since we are only looking at odd solutions, we consider the spatial domain to be . For some we define
[TABLE]
and set
[TABLE]
along with
[TABLE]
Then the evolution equation in (1.4) becomes:
[TABLE]
Now let us study the relation between and .
[TABLE]
[TABLE]
[TABLE]
using the oddness of . In particular,
[TABLE]
Therefore,
[TABLE]
Now define
[TABLE]
Thus, (1.4) becomes:
[TABLE]
[TABLE]
[TABLE]
Now, as shown in [7], when for each , we have the following explicit self-similar profiles:
[TABLE]
where
[TABLE]
In particular,
[TABLE]
where
[TABLE]
as in the expression below (1.7). For the analysis we also need that
[TABLE]
where
[TABLE]
We also need that
[TABLE]
where is independent of .
6.1 Linearized Operator
Following the proof of Theorem 1, we mainly need to establish coercivity properties of the main linearized operator. We thus content ourselves with establishing the analogue of Proposition 2.1. We note that linearizing around leads to
[TABLE]
where
[TABLE]
and satisfies
[TABLE]
exactly as in the proof of Proposition 2.1.
Now let us introduce the weight
[TABLE]
which was used in [6]. Then, recalling (6.2), we have
[TABLE]
It remains to study
Claim:
[TABLE]
Once the claim is established, the coercivity once is small follows and the rest of the proof of Theorem 2 is similar to that of Theorem 1.
[TABLE]
[TABLE]
All we have done in the second equality is symmetrize the kernel. Now let us study the symmetrized kernel
[TABLE]
Observe that
[TABLE]
Now, it is easy to see that on . Let us try to get some more quantitative information. By symmetry, we may restrict ourselves to the region where Observe that
[TABLE]
[TABLE]
[TABLE]
with . Defining , let us note that . Therefore,
[TABLE]
if . Thus,
[TABLE]
Consequently,
[TABLE]
if Now let us note that
[TABLE]
The claim now follows once we show that
[TABLE]
whenever Indeed,
[TABLE]
[TABLE]
[TABLE]
[TABLE]
7 Appendix
Weighted Identities
Lemma 7.1**.**
Let For all odd on and satisfying , we have:
[TABLE]
Proof.
Note that Thus, it suffices to show that
[TABLE]
under the condition that is odd and for . is just the isometry property of . The case and are similar so we only do the more difficult case of . Let us write . Observe that, by assumption, we have and since is odd. Thus,
[TABLE]
In particular, we have:
[TABLE]
∎
Smoothing Procedure
We now give a lemma which allows us to justify some of the computations in the coercivity and energy estimates.
Lemma 7.2**.**
Let be such that is odd, and . Then, there exists a sequence with
- •
* is odd and *
- •
**
- •
* uniformly on .*
Proof.
Take where Clearly, is odd and . Moreover, and uniformly on . It may be, however, that . Now let’s define the function
[TABLE]
Clearly, and . Moreover,
[TABLE]
Thus we define:
[TABLE]
Clearly, is odd and . Now let’s compute . First, as by the dominated convergence theorem and . Thus, the second term in the definition of converges uniformly to [math] in in the energy norm. It is also easy to see that if is large enough, ∎
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] J. Chen, T.Y Hou, and De Huang. On the finite time blowup of the De Gregorio model for the 3d Euler equation. Ar Xiv e-prints .
- 2[2] P. Constantin, P. D. Lax, and A. Majda. A simple one-dimensional model for the three-dimensional vorticity equation. Comm. Pure Appl. Math. , 38(6):715–724, 1985.
- 3[3] Peter Constantin. The Euler equations and nonlocal conservative Riccati equations. Internat. Math. Res. Notices , (9):455–465, 2000.
- 4[4] Antonio Córdoba, Diego Córdoba, and Marco A. Fontelos. Formation of singularities for a transport equation with nonlocal velocity. Ann. of Math. (2) , 162(3):1377–1389, 2005.
- 5[5] Salvatore De Gregorio. A partial differential equation arising in a 1 1 1 D model for the 3 3 3 D vorticity equation. Math. Methods Appl. Sci. , 19(15):1233–1255, 1996.
- 6[6] T. M. Elgindi. Finite-time singularity formation for C 1 , α superscript 𝐶 1 𝛼 {C}^{1,\alpha} solutions to the incompressible Euler equation on ℝ 3 superscript ℝ 3 \mathbb{R}^{3} . Ar Xiv e-prints .
- 7[7] Tarek Elgindi and In-Jee Jeong. On the effects of advection and vortex stretching. To appear in Arch. Rat. Mech. Anal.
- 8[8] Tarek Elgindi and In-Jee Jeong. Symmetries and critical phenomena in fluids. To appear in Comm. Pure. Appl. Math.
