Abstract
We prove asymptotic stability of the Couette flow for the 2D Euler equations in the domain \(\mathbb {T}\times [0,1]\). More precisely we prove that if we start with a small and smooth perturbation (in a suitable Gevrey space) of the Couette flow, then the velocity field converges strongly to a nearby shear flow. Our solutions are defined on the compact set \(\mathbb {T}\times [0,1]\) (“the channel”) and therefore have finite energy. The vorticity perturbation, which is initially assumed to be supported in the interior of the channel, will remain supported in the interior of the channel at all times, will be driven to higher frequencies by the linear flow, and will converge weakly to another shear flow as \(t\rightarrow \infty \).
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Notes
Compared to the system (1.1)–(1.4) there is a slight abuse of notation, in the sense that u is replaced by \((b(y),0)+u(x,y)\) and \(\omega \) is replaced by \(-b'(y)+\omega (x,y)\). The identity \(\psi (x,1)=0\) in (1.6) and (1.8) can be assumed to hold after modifying b by a linear flow \(c_0+c_1y\).
The smallness of \(\Vert \langle \omega \rangle (t)\Vert _{H^{10}}\) is a qualitative condition that is only needed to guarantee that the map \(y\rightarrow v\) is indeed a smooth bijective change of coordinates.
One needs to be slightly careful here, since \(\partial _tb_*\) is not necessarily positive, and the expression in the left-hand side of (7.79) is only positive after adding the second term.
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Communicated by C. De Lellis
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The first author was supported in part by NSF Grant DMS-1600028 and by NSF-FRG Grant DMS-1463753. The second author was supported in part by DMS-1600779 and he is also grateful to IAS where part of the work was carried out.
Appendix A. Gevrey Spaces and Local Wellposedness of Euler Equations
Appendix A. Gevrey Spaces and Local Wellposedness of Euler Equations
In this section we review some general properties of the Gevrey spaces of functions and prove the local well-posedness result in Lemma 3.1.
1.1 A.1 The Gevrey spaces
We start with a characterization of the Gevrey spaces on the physical side.
Lemma A.1
(i) Suppose that \(0<s<1\), \(K>1\), and \(f\in C_0^{\infty }({\mathbb {R}}^d)\) satisfies the bounds
for all integers \(m\ge 0\) and multi-indeces \(\alpha \) with \(|\alpha |=m\). Assume that \((\mathrm{supp}\,f)\subseteq [-L,\,L]^d\), \(L\ge 1\). Then
for all \(\xi \in {\mathbb {R}}^d\) and some \(\mu =\mu (K,s)>0\).
Similarly, if \(f\in C^{\infty }({\mathbb {T}}\times {\mathbb {R}})\) with \(\mathrm{supp}\,f\subseteq {\mathbb {T}}\times [0,1]\) satisfies (A.1), then
for all \(k\in {\mathbb {Z}}, \xi \in {\mathbb {R}}\) and some \(\mu =\mu (K,s)>0\).
(ii) Conversely, assume that, for some \(\mu >0\) and \(s\in (0,1)\),
for all \(\xi \in {\mathbb {R}}^d\). Then there is \(K>1\) depending on s and \(\mu \) such that
for all multi-indices \(\alpha \) with \(|\alpha |=m\).
Similarly, if \(f\in C^{\infty }({\mathbb {T}}\times {\mathbb {R}})\) satisfies, for some \(\mu >0,s\in (0,1)\),
for all \(k\in {\mathbb {Z}}, \xi \in {\mathbb {R}}\), then the bounds (A.5) hold for some \(K=K(\mu ,s)>0\) and all \(x\in {\mathbb {T}}\times {\mathbb {R}}\).
Proof
(i) We prove only the harder estimates (A.2). We may assume that \(|\xi |\) is large. Using the definition of the Fourier transform, integration by parts, and the bounds (A.1), we see that
This holds for all integers \(N\ge 1\). Choose N to be the largest integer so that \(CK(N+1)^{1/s}\le |\xi |/e\), thus
Consequently, using (A.7) we get that
for suitable \(\mu >0\).
(ii) We consider only the case when \(f\in C^\infty ({\mathbb {R}}^d)\). Using (A.4) we have
We notice that the function \(r\rightarrow r^Ne^{-r}\), \(r>0\), \(N\ge 1\), has a maximum at \(r=N\). Thus
so the right-hand side of (A.8) is bounded by
where \(N=(m+d+1)/s\) and \(K_1\) is sufficiently large. The desired bounds (A.5) follow.
\(\square \)
1.1.1 A.1.1 Gevrey cutoff functions.
Using Lemma A.1, one can construct explicit cutoff functions in Gevrey spaces. For \(a>0\) let
Clearly \(\psi _a\) are smooth functions on \({\mathbb {R}}\), supported in the interval [0, 1]. Using (A.9) it is easy to verify that \(\psi _a\) satisfies the bounds (A.1) for \(s:=a/(a+1)\). Thus, for some \(\mu =\mu (a)>0\),
One can also construct compactly supported Gevrey cutoff functions which are equal to 1 in a given interval. Indeed, for any \(\rho \in [9/10,1)\), the function
is smooth, non-negative, supported in [0, 1], and equal to 1 in \([1-\rho ,\rho ]\). Moreover, it follows from Lemma A.1(i) that \(|\widehat{\psi '_{a,\rho }}(\xi )|\lesssim e^{-\mu |\xi |^{a/(a+1)}}\) for some \(\mu =\mu (a,\rho )>0\).
1.1.2 A.1.2. Compositions of Gevrey functions.
The physical space characterization of Gevrey functions is useful when studying compositions. In our setting, we have the following lemma:
Lemma A.2
(i) Assume \(\kappa _1>0\), \(s\in (0,1)\), and \(f\in {\mathcal {G}}^{\kappa _1,s}({\mathbb {T}}\times {\mathbb {R}})\). Suppose \(M\in (0,\infty )\) and \(g:{\mathbb {T}}\times {\mathbb {R}}\rightarrow {\mathbb {T}}\times {\mathbb {R}}\) satisfies, for any \(m\ge 1\),
Suppose that f and \(f\circ g\) are supported in \({\mathbb {T}}\times [-2,2]\). Then, for a suitable \(\kappa _2>0\) depending on \(s,\kappa _1,M\), we have \(f\circ g\in {\mathcal {G}}^{\kappa _2,s}\) and
(ii) Assume \(s\in (0,1)\), \(L\in (0,\infty )\), \(I,J\subseteq {\mathbb {R}}\) are open intervals, and \(g:I\rightarrow J\) is a smooth bijective map satisfying, for any \(m\ge 1\),
If \(|g'(x)|\ge 1/10\) for any \(x\in I\) then the inverse function \(g^{-1}:J\rightarrow I\) satisfies the bounds
for some constant \(M=M(L,s)\ge L\).
This can be proved using Lemma A.1, and we omit the details. See also Theorem 6.1 and Theorem 3.2 of [25] for more general estimates on compositions of functions in Gevrey spaces.
1.2 A.2. Proof of Lemma 3.1
As we remarked earlier, the lemma can be obtained as a consequence of the more general theory developed in [10, 13, 14, 16]. For the sake of convenience, we provide a complete proof here in our special case, using the Fourier transform.
To prove Gevrey bounds, we have to work with suitable weights. First we define the functions \(g:(0,\infty )\rightarrow (0,\infty )\), by
Here \(\rho \ge \rho _0\) is a large parameter (which is needed only to guarantee convergence and continuity in time of the energy functionals below), and the desired Gevrey bounds follow by proving estimates independent of \(\rho \) and letting \(\rho \rightarrow \infty \).
Then we define the main weights \(B:[0,T]\times {\mathbb {R}}^2\rightarrow (0,\infty )\),
where \(\lambda (t):[0,T]\rightarrow (0,\infty )\), \(\lambda (0)=\lambda _0\), is a positive decreasing function to be chosen below.
With \(v=(k,\xi )\), we define the energy functionals
Since \(\omega \in C([0,T]:H^{10})\) and \(B(t,v)\lesssim _\rho \langle v\rangle ^{3}\), the function \({\mathcal {E}}\) is well-defined and continuous on [0, T]. Moreover, \({\mathcal {E}}(0)\le \Vert \langle \nabla \rangle ^3\omega _0\Vert _{{\mathcal {G}}^{\lambda _0,s}}\).
Step 1. We fix a smooth function \(\Psi (y)\) with
where, in the rest of this section, all implicit constants are allowed to depend on \(\vartheta \). By the support property of \(\omega (t)\) and the Euler equation, we calculate
where, using the equations and inserting a factor of \(\Psi (y)\),
and
Step 2. We estimate now \(|{\mathcal {P}}^1(t)|\) and \(|{\mathcal {P}}^2(t)|\). Using the bounds in Lemma A.3, we see that
where \(\min :=\min \{\langle k,\xi \rangle ,\langle \ell ,\eta \rangle ,\langle k-\ell ,\xi -\eta \rangle \}\). Indeed, if \(|k-\ell ,\xi -\eta |\ge (|k,\xi |+|\ell ,\eta |)/20\) then the bounds follow directly from (A.35), by estimating each term in the left-hand side independently. On the other hand, if \(|k-\ell ,\xi -\eta |\le (|k,\xi |+|\ell ,\eta |)/20\) then we use (A.36), which forces us to include the term \(\lambda (t)g(\langle k,\xi \rangle )\) in the right-hand side of (A.22).
Let
It follows from (A.22), changes of variables, and the identities above that
where \({\mathcal {R}}:=\big \{\langle k-\ell ,\xi -\eta \rangle \le \min \{\langle k,\xi \rangle ,\langle \ell ,\eta \rangle \}\big \}\).
To estimate \(|{\mathcal {P}}^1(t)|\) and \(|{\mathcal {P}}^2(t)|\) we use the following elementary bounds (compare with Lemma 8.1): for any functions \(F_1,F_2,F_3:\mathbb {Z}\times {\mathbb {R}}\rightarrow [0,\infty )\) we have
For \(t\in [0,T]\) let
Using Lemma A.4, we have
provided that \(W(t,k,\xi )=B(t,k,\xi )\) or \(W(t,k,\xi )=\sqrt{g(\langle k,\xi \rangle )}B(t,k,\xi )\).
Using (A.24), (A.20), and (A.26), we have, for any \(t\in [0,T]\),
To estimate \({\mathcal {P}}^2\), we first observe that \(B(t,v)\le \langle v\rangle ^3+\lambda (t)g(\langle v\rangle )B(t,v)\) with \(v=(k,\xi )\). As a consequence, we have
Using (A.25)–(A.28) and (A.30), we estimate
Step 3. We reexamine now the identities (A.21). Notice that
We use (A.29)–(A.31) to estimate
Now suppose \(\lambda (t)\) satisfies
then we would obtain
which gives
From (A.33), we see that we can guarantee (A.32) if \(\lambda (t)\) is chosen so that
The desired bounds (3.3) and (3.4) follow easily from (A.33), (A.34), by sending \(\rho \rightarrow \infty \).
We prove now suitable bounds on the weights B which are used for (A.22).
Lemma A.3
For \(v,w\in \mathbb {Z}\times {\mathbb {R}}\) we have
Moreover, if \(|v|\le |w|\) and \(|w-v|\le |v|/4\), then
Proof
For \(\lambda \in [0,1]\), \(s\in [1/4,3/4]\), \(\rho \ge 2^{40}\), and g as in (A.17), we define the functions \(f_\lambda :(0,\infty )\rightarrow (0,\infty )\) as
Step 1. We show first that for \(x,y\ge 1\) we have
Indeed, we may assume \(x\le y\) and calculate
The bounds (A.38) follow since \(g':(0,\infty )\rightarrow (0,\infty )\) is a continuous and decreasing function.
Step 2. We show now that if \(y\ge 1\) and \(x\in [0,y]\) then
Indeed, using the monotonicity of \(g'\) we write
Using now (A.38) we estimate the right-hand side of (A.40) by
Since \(yg'(y)\le g(y)\), this completes the proof of (A.39).
Step 3. Recall that \(B(t,v)=\langle v\rangle ^3f_{\lambda (t)}(\langle v\rangle )\). The bounds (A.35) follow from (A.38) and the monotonicity of the functions \(f_\lambda \). The bounds (A.36) follow from (A.39) and monotonicity. This completes the proof of the lemma. \(\quad \square \)
Finally, we prove weighted elliptic estimates for the functions \(\Psi \,\psi \).
Lemma A.4
If \(W(k,\xi ):=e^{\lambda g(\langle k,\xi \rangle )}\langle k,\xi \rangle ^dg(\langle k,\xi \rangle )^p\), \(\lambda ,p\in [0,2]\), \(d\in [0,6]\), and \(t\in [0,T]\), then
uniformly in \(\lambda ,p,d\), and \(\rho \) (the parameter in the definition of the function g).
Proof
We only need to use the equation \(\Delta \psi =\omega \), \(\psi (x,0)=\psi (x,1)=0\), see (1.6). For simplicity of notation, we also drop the parameter t.
Step 1. As in Sect. 5.2.1, we take the partial Fourier transform along \(\mathbb {T}\), thus
In particular, since \(\omega ^*(k,y)=0\) if \(y\in [0,\vartheta /2]\) or \(y\in [1-\vartheta /2,1]\), we have
where \(b_k^0:=(\partial _y\psi ^*)(k,0)\) and \(b_k^1:=(\partial _y\psi ^*)(k,1)\).
We calculate the coefficients \(b_k^0\) and \(b_k^1\) using Green functions, as in Sect. 5.2.1. Indeed, it follows from (A.42) that
where
if \(k\ne 0\), and
In particular, for \(\iota \in \{0,1\}\),
where
Step 2. We return now to the proof of (A.41). We start from the equation
As in Lemma 5.3, see (5.34), using (A.47) and the support restriction on \(\omega \), it follows that
for any \(k\in {\mathbb {Z}}\). Let \(\phi (x,y):=2\Psi '(y)\partial _y\psi (x,y)+\Psi ''(y)\psi (x,y)\) denote the last two terms in (A.49). It follows from (A.43) and (A.50) that
compare with (5.41). Moreover, since the decay of \({\widetilde{\Psi }}\) is faster than the variation of the weights W (compare with the definitions (A.18)), we have
The last two inequalities and the identity (A.49) show that
Finally, in the case \(k=0\) we can use the formulas for \(\psi ^*(0,y)\) in (A.43) and the bounds (A.50). It follows that \(|\widetilde{\Psi \psi }(0,\xi )|\lesssim \Vert {\widetilde{\omega }}\Vert _{L^2_{k,\xi }}e^{-|\xi |^{5/6}}\). The desired conclusion (A.41) follows. \(\quad \square \)
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Ionescu, A.D., Jia, H. Inviscid Damping Near the Couette Flow in a Channel. Commun. Math. Phys. 374, 2015–2096 (2020). https://doi.org/10.1007/s00220-019-03550-0
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DOI: https://doi.org/10.1007/s00220-019-03550-0