This paper derives an asymptotic formula for the Boussinesq equation in Sector IV with solitons, providing insights into soliton-radiation interactions and supporting the soliton resolution conjecture for water waves.
Contribution
It extends previous work by deriving the leading asymptotic behavior in Sector IV with solitons, confirming the soliton resolution conjecture for this case.
Findings
01
Exact expression for soliton-radiation interaction
02
Verification of the soliton resolution conjecture in Sector IV
03
Asymptotic behavior characterized by specific x/t ratio
Abstract
We consider the Boussinesq equation on the line for a broad class of Schwartz initial data relevant for water waves. In a recent work, we identified ten main sectors describing the asymptotic behavior of the solution, and for each of these sectors we gave an exact expression for the leading asymptotic term in the case when no solitons are present. In this paper, we derive an asymptotic formula in Sector IV, characterized by tx∈(31,1), in the case when solitons are present. In particular, our results provide an exact expression for the soliton-radiation interaction to leading order and a verification of the soliton resolution conjecture for the Boussinesq equation in Sector IV.
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOcean Waves and Remote Sensing · Coastal and Marine Dynamics · Advanced Mathematical Physics Problems
Full text
Boussinesq’s equation for water waves:
the soliton resolution conjecture for Sector IV
C. Charlier1 and J. Lenells2
1Centre for Mathematical Sciences, Lund University,
22100 Lund, Sweden.
2Department of Mathematics, KTH Royal Institute of Technology,
We consider the Boussinesq equation on the line for a broad class of Schwartz initial data relevant for water waves. In a recent work, we identified ten main sectors describing the asymptotic behavior of the solution, and for each of these sectors we gave an exact expression for the leading asymptotic term in the case when no solitons are present. In this paper, we derive an asymptotic formula in Sector IV, characterized by tx∈(31,1), in the case when solitons are present. In particular, our results provide an exact expression for the soliton-radiation interaction to leading order and a verification of the soliton resolution conjecture for the Boussinesq equation in Sector IV.
where u(x,t) is a real-valued function and subscripts denote partial derivatives, models small-amplitude dispersive waves in shallow water propagating in both the right and left directions, see e.g. [12]. Equation (1.1) supports solitons [10, 1, 2] and admits a Lax pair [16].
Until recently [4], the determination of the long-time asymptotics for the solution of (1.1) was still an open problem, see e.g. Deift’s list of open problems in [8].
In [4], we studied the direct and inverse scattering problems for (1.1). Among other things, we established that for a wide class of initial data relevant for water waves, the solution is unique and exists globally. We identified ten main asymptotic sectors and for each of these sectors, we computed the leading asymptotics of the solution. The proofs of some of these asymptotic formulas were omitted in [4] for conciseness. Moreover, only solitonless solutions were considered.
The purpose of this paper is to derive an asymptotic formula for the solution in the sector tx∈(31,1) in the case when solitons are present. This sector was referred to as Sector IV in [4]. In the special case when solitons are absent, our formula reduces to the formula announced in [4], thus providing a proof of this formula.
In the case when solitons are present, our formula quantifies the asymptotic effect of solitons on the solution in Sector IV.
The soliton resolution conjecture for an integrable equation expresses the expectation that a solution of the equation with generic initial data eventually evolves into a set of solitons superimposed on a dispersive radiative background. Since x/t<1 in Sector IV and all one-soliton solutions of (1.1) travel with speeds greater than 1 [10], the soliton resolution conjecture for (1.1) suggests that there should be no order 1 contributions to the asymptotics in Sector IV stemming from solitons. This is indeed what we find: our formula shows that the solution of (1.1) in Sector IV is O(t−1/2) as t→∞. Our results therefore verify the soliton resolution conjecture for the Boussinesq equation in this sector. We stress that although the solitons themselves are not directly observable in Sector IV for large times, they do have a nontrivial effect on the radiation in Sector IV; we compute the leading order contribution of this effect exactly.
It is important to note that we restrict ourselves to initial data which contain no high-frequency modes (in a sense made precise in Assumption (\refnounstablemodesassumption) below). This assumption is consistent with the derivation of the Boussinesq equation as a model for water waves, which assumes that high-frequency Fourier modes are absent, or at least highly suppressed. In fact, if high-frequency modes are present, the solution will contain components that grow exponentially in time and the soliton resolution conjecture will automatically fail.
Our main result is presented in Section 2. Its proof relies on a Deift–Zhou [9] steepest descent analysis of a row-vector Riemann–Hilbert (RH) problem, and this RH problem is stated in Section 3. Section 4 contains a brief overview of the proof. In Sections 5 and 6, we carry out two transformations of the RH problem. After introducing a global parametrix in Section 7, we perform two further transformations in Sections 8 and 9. Using two local parametrices constructed in Sections 10 and 11, respectively, we arrive at a small-norm RH problem whose large t behavior is analyzed in Section 12. Finally, the long-time asymptotics of the solution u(x,t) of (1.1) is obtained in Section 13.
1.1. Notation
We use the following notation throughout the paper.
−
C>0 and c>0 denote generic constants that may change within a computation.
2. −
[A]1, [A]2, and [A]3 denote the first, second, and third columns of a 3×3 matrix A.
3. −
If A is an n×m matrix, we define ∣A∣≥0 by ∣A∣2=Σi,j∣Aij∣2. For a piecewise smooth contour γ⊂C and 1≤p≤∞, we define ∥A∥Lp(γ):=∥∣A∣∥Lp(γ).
4. −
D={k∈C∣∣k∣<1} denotes the open unit disk and ∂D={k∈C∣∣k∣=1} denotes the unit circle.
5. −
S(R) denotes the Schwartz space of rapidly decreasing functions on R.
6. −
Q:={κj}j=16 and Q^:=Q∪{0}, where {κj=e3πi(j−1)}16 are the sixth roots of unity.
7. −
{Dn}n=16 denote the open subsets of the complex plane shown in Figure 2.
8. −
Γ=∪j=19Γj denotes the contour shown and oriented as in Figure 2.
9. −
Γ^j=Γj∪∂D denotes the union of Γj and the unit circle.
2. Main results
We consider the initial value problem for (1.1) with initial data
[TABLE]
where u0,u1∈S(R) are real-valued functions in the Schwartz class.
We assume that u1 obeys the condition ∫Ru1(x)dx=0; this assumption is natural because it ensures that the total mass ∫Ru(x,t)dx is conserved in time. A result of [4] states that the solution to the initial value problem (1.1)–(2.1) can be expressed in terms of the solution n of a row-vector RH problem.
The jump matrix of this RH problem is expressed in terms of two scalar reflection coefficients, r1(k) and r2(k), which are defined as follows.
2.1. Definition of r1 and r2.
Let ω:=e32πi and define {lj(k),zj(k)}j=13 by
[TABLE]
Let P(k) and U(x,k) be given by
[TABLE]
where v0(x)=∫−∞xu1(x′)dx′. Let X,XA,Y,YA be the unique solutions of the Volterra integral equations
[TABLE]
where L=diag(l1,l2,l3), (⋅)T denotes the transpose operation, and eL^ acts
on a 3×3 matrix M by eL^M=eLMe−L. Define s(k) and sA(k) by
[TABLE]
The two spectral functions {rj(k)}12 are defined by
[TABLE]
2.2. Solitons
In [6], we extended the approach of [4] to the case when solitons are present. In this case, in addition to r1(k) and r2(k), the formulation of the RH problem also involves a set of poles Z and a set of corresponding residue constants {ck0}k0∈Z⊂C. In what follows, we describe how Z and {ck0}k0∈Z⊂C are defined.
Solitons are generated by the possible zeros of the functions s11(k) and s11A(k).
As shown in [4], s11 and s11A have analytic extensions to the interiors of Dˉ1∪Dˉ2 and Dˉ4∪Dˉ5, respectively. We will restrict ourselves to the generic case when s11 and s11A(k) have no zeros on the contour Γ.
The symmetries s11(k)=s11(ω/k) and s11A(k)=s11(kˉ−1) (also established in [4]) then imply that it is enough to consider the zeros of s11 in D2.
We decompose the open set D2 into three parts: D2=Dreg⊔Dsing⊔(D2∩R), where
[TABLE]
and D2∩R=(−1,0)∪(1,∞).
We denote the right and left parts of Dreg by DregR and DregL, respectively, and similarly for Dsing, see Figure 1.
We showed in [6] that zeros in Dsing give rise to solitons with singularities. We will therefore assume that the zero-set Z of s11(k) is contained in Dreg∪(−1,0)∪(1,∞).
We will consider the generic case of a finite number of simple zeros. In the case when the initial data u0 and u1 have compact support, the associated residue constants are then defined by
[TABLE]
If u0 and v0 do not have compact support, then the expressions in (2.4) are in general not well-defined and the following more involved definition is required: Define the vector-valued function w(x,k) by
[TABLE]
If k0∈Z∖R, then ck0 is defined as the unique complex constant such that
[TABLE]
It turns out that simple zeros of s11(k) in DregR and DregL generate right- and left-moving breather solitons, respectively.
Similarly, simple zeros of s11(k) in (1,∞) and (−1,0) generate right- and left-moving solitons, respectively, and it was shown in [6] that a soliton generated by a zero in (−1,0)∪(1,∞) is non-singular if and only if the associated residue constant ck0 satisfies i(ω2k02−ω)ck0∈/(−∞,0).
This motivates the following assumptions on Z and {ck0}k0∈Z.
2.3. Assumptions
As in [6, Theorem 2.11], our results will be valid under the following assumptions:
(i)
Finite number of non-singular solitons: suppose that s11(k) has a simple zero at each point in Z, where Z⊂Dreg∪(−1,0)∪(1,∞) is a set of finite cardinality, and that s11(k) has no other zeros in k∈(Dˉ2∪∂D)∖Q^.
If k0∈Z∖R, then we also assume that s22A(k0)=0. If k0∈Z∩R, then we also assume that i(ω2k02−ω)ck0∈/(−∞,0).
2. (ii)
The spectral functions s and sA have generic behavior near k=1 and k=−1: we suppose for k⋆=1 and k⋆=−1 that
[TABLE]
3. (iii)
No high-frequency modes: we suppose that r1(k)=0 for all k∈[0,i], where [0,i] is the vertical segment from [math] to i.
We emphasize that Assumption (\reforiginassumption) is generic. Assumption (\refnounstablemodesassumption) ensures that the solution belongs to the physically relevant class of solutions which do not contain exponentially growing high-frequency modes. If Assumptions (\refsolitonassumption)–(\refnounstablemodesassumption) hold true, then the solution u(x,t) of the initial value problem (1.1)–(2.1) exists globally [6].
2.4. Statement of main result
The formulation of our main theorem involves a number of quantities that we now introduce. Let ζ:=x/t and assume that ζ∈(31,1). For k∈C∖{0} and 1≤j<i≤3, define Φij(ζ,k) by
[TABLE]
where lj(k) and zj(k) are as in (2.2).
The function k↦Φ21(ζ,k) has four saddle points {kj=kj(ζ)}j=14 given by
[TABLE]
k1=kˉ2, and k3=kˉ4. Note that ∣k2∣=∣k4∣=1, argk2∈(−43π,−32π), and argk4∈(−6π,0). Define also δj(ζ,k), j=1,…,5, by
[TABLE]
where the paths follow the unit circle in the counterclockwise direction, the principal branch is used for the logarithms, and
[TABLE]
By [4, Theorem 2.3 and Lemma 2.13], r1,r2,f are well-defined on ∂D∖Q and the arguments of all logarithms appearing in the above definitions of {δj(ζ,k)}j=15 are >0.
Define
[TABLE]
Define χj(ζ,k), j=1,2,3, and χ~j(ζ,k), j=2,3,4,5, by
[TABLE]
where the paths follow ∂D in the counterclockwise direction. For s∈{eiθ∣θ∈[2π,32π]}, k↦lns(k−s)=ln∣k−s∣+iargs(k−s) has a cut along {eiθ∣θ∈[2π,args]}∪(i,i∞) and the branch is such that args(1)=2π. Also, for s∈{eiθ∣θ∈[2π,32π]}, k↦ln~s(k−s):=ln∣k−s∣+iarg~s(k−s) has a cut along {eiθ∣θ∈[args,π]}∪(−∞,0), and satisfies arg~s(1)=0. Regularized integrals are needed in the definitions of χ~4,χ~5 because f(1)=f(ω)=0 (see [4, Lemma 2.13 (i)]). Define {νj}j=14, ν^1, and ν^2 by
[TABLE]
The following functions d1,0 and d2,0 appear in our final result:
[TABLE]
where z1,⋆, z2,⋆ are given by
[TABLE]
and the branches for the complex powers zj,⋆α=eαlnzj,⋆ are fixed by
[TABLE]
with arg(ωk4)∈(2π,32π) and arg(ω2k2)∈(2π,32π). Define also
[TABLE]
where
[TABLE]
We now state our main result. The Gamma function Γ(k) appears in the statement, as well as the square roots of ν^1(k4) and ν^2(k2). These square roots are well-defined and ≥0 thanks to the inequalities ν^1(k4)≥0 and ν^2(k2)≥0, which follow from [4, Lemma 2.13] and the fact that argk2∈(−43π,−32π) and argk4∈(−6π,0).
Theorem 2.1** (Asymptotics in Sector IV).**
Let u0,u1∈S(R) be real-valued and such that ∫Ru1dx=0. Let v0(x)=∫−∞xu1(x′)dx′ and suppose Assumptions (\refsolitonassumption)–(\refnounstablemodesassumption) are fulfilled. Let I be a fixed compact subset of (31,1). Then the global solution u(x,t) of the initial value problem for (1.1) with initial data u0,u1 enjoys the following asymptotics as t→∞:
[TABLE]
uniformly for ζ:=tx∈I, where
[TABLE]
The effect of the solitons on the asymptotic behavior (2.16) of u(x,t) is encoded in the phase shifts argP(ω2k4)P(ωk4) and argP(ωk2)P(ω2k2) that appear in the definitions of α1 and α2, respectively. If there are no solitons (i.e., if the set Z is empty), then these phase shifts are absent, and the formula (2.16) reduces to the formula for Sector IV given in [4]. Indeed, the only place where the set Z appears in the above definitions is in the definition (2.11) of P(k), and if Z is empty, then P(k) is identically equal to 1. Thus, these phase shifts describe the leading order soliton-radiation interaction in Sector IV.
We observe that the products in the definition of P only run over the zeros in Z with positive real part; this corresponds to the fact that only right-moving solitons generate a phase shift in Sector IV.
3. The RH problem for n
We will prove Theorem 2.1 by analyzing a row-vector RH problem, whose solution is denoted by n. In what follows, we recall this RH problem from [6]. Let θij(x,t,k)=tΦij(ζ,k). For j=1,…,6, we write Γj=Γj′∪Γj′′, where Γj′=Γj∖D and Γj′′:=Γj∖Γj′ with Γj as in Figure 2. The jump matrix v(x,t,k) is defined for k∈Γ by
[TABLE]
where vj,vj′,vj′′ are the restrictions of v to Γj, Γj′, and Γj′′, respectively. Let Γ⋆={iκj}j=16∪{0} be the set of intersection points of Γ.
Let Z be as in Assumption (\refsolitonassumption) and let
[TABLE]
with Z−1={k0−1∣k0∈Z}, Z∗={kˉ0∣k0∈Z}, and Z−∗={kˉ0−1∣k0∈Z}.
RH problem 3.1** (RH problem for n).**
Find a 1×3-row-vector valued function n(x,t,k) with the following properties:
(a)
n(x,t,⋅):C∖(Γ∪Z^)→C1×3* is analytic.*
2. (b)
The limits of n(x,t,k) as k approaches Γ∖Γ⋆ from the left and right exist, are continuous on Γ∖Γ⋆, and are denoted by n+ and n−, respectively. Furthermore, they are related by
[TABLE]
3. (c)
n(x,t,k)=O(1)* as k→k⋆∈Γ⋆.*
4. (d)
For k∈C∖(Γ∪Z^), n obeys the symmetries
[TABLE]
where A and B are the matrices defined by
[TABLE]
5. (e)
n(x,t,k)=(1,1,1)+O(k−1)* as k→∞.*
6. (f)
At each point of Z^, one entry of n has (at most) a simple pole while two entries are analytic. The following residue conditions hold at the points in Z^: for each k0∈Z∖R,
[TABLE]
and, for each k0∈Z∩R,
[TABLE]
where the (x,t)-dependence of n and of θij has been omitted for conciseness and the complex constants dk0 are defined by
[TABLE]
If k0∈Z is such that ck0=0, then the pole of n at k0 is removable so k0 can be removed from Z without affecting RH problem 3.1. In the rest of this paper, we will therefore assume that ck0=0 for all k0∈Z.
4. Brief overview of the proof
Under the assumptions of Theorem 2.1, RH problem 3.1 has a unique solution n(x,t,k) for each (x,t)∈R×[0,∞), the function
[TABLE]
is well-defined and smooth for (x,t)∈R×[0,∞), and
[TABLE]
is a Schwartz class solution of (1.1) on R×[0,∞) with initial data u0,u1 [6].
By using Deift–Zhou steepest descent arguments, we will derive an asymptotic formula for n3(1). Substituting this formula into (4.1), we will obtain the formula of Theorem 2.1.
The steepest descent analysis of RH problem 3.1 involves the saddle points of the three phase functions Φ21, Φ31, and Φ32 whose signature tables are displayed in Figure 3.
The saddle points {kj}j=14 of Φ21 are given in (2.8).
Using the relations
[TABLE]
we see that {ωkj}j=14 are the saddle points of Φ31 and that {ω2kj}j=14 are the saddle points of Φ32. It turns out that the main contributions to the long-time asymptotics of u(x,t) in Sector IV are generated by a global parametrix Δ−1 and from twelve local parametrices near the saddle points {kj,ωkj,ω2kj}j=14.
Our proof uses a series of transformations n→n(1)→n(2)→n(3)→n(4)→n^ to bring RH problem 3.1 to a small-norm RH problem. These transformations are invertible, implying that the RH problems satisfied by {n(j)}14 and n^ are equivalent to RH problem 3.1. The jump contours for the RH problems for {n(j)}14 and n^ will be denoted by {Γ(j)}14 and Γ^ and the associated jump matrices by {v(j)}14 and v^, respectively.
The jump matrix v in (3.1) obeys the following symmetries in accordance with (3.3):
[TABLE]
We will preserve the symmetries (3.3) and (4.3) at each step, so that, for j=1,2,3,4,
[TABLE]
and similarly for n^ and v^. These symmetries imply that we only need to construct the local parametrices near ωk4 and ω2k2, and that we only need to define the transformations n→n(1), n(j)→n(j+1), and n(4)→n^ in the sector S:={k∈C∣argk∈[3π,32π]}. In C∖S, we will define the local parametrices and the transformations using the A- and B-symmetries.
We know from [4, Theorem 2.3] that the functions r1 and r2 satisfy the following properties: r1∈C∞(Γ^1), r2∈C∞(Γ^4∖{ω2,−ω2}), r1(κj)=0 for j=1,…,6, r2(k) has simple poles at k=±ω2, and simple zeros at k=±ω, and r1,r2 are rapidly decreasing as ∣k∣→∞. Moreover,
[TABLE]
These properties will be used repeatedly throughout the proof.
The residue conditions (3.5) involve the exponentials e−θ31(x,t,k0) and eθ32(x,t,kˉ0). We see from Figure 3 that these exponentials are small as t→∞ for k0∈Z∖R if Rek0<0 (recall that Z∖R⊂Dreg).
Similarly, the residue conditions (3.6) involve the exponential e−θ21(x,t,k0), and we see from Figure 3 that this exponential is small as t→∞ for k0∈Z∩R if Rek0<0 (recall that Z∩R⊂(−1,0)∪(1,∞)).
This suggests that points k0 in Z with Rek0<0 (i.e., points corresponding to left-moving solitons) will not contribute to the asymptotics in Sector IV at any finite order, and this is indeed what we will find.
On the other hand, for k0∈Z with Rek0>0, the above exponentials are large as t→∞. By including an appropriate factor in the global parametrix, we can flip the signs of the exponents in these exponentials, thereby making them small for large t. The factor included in the global parametrix gives rise to the phase shifts argP(ω2k4)P(ωk4) and argP(ωk2)P(ω2k2) generated by right-moving solitons seen in Theorem 2.1.
5. The n→n(1) transformation
We will open lenses around ∂D∖Q. Define
[TABLE]
and let
[TABLE]
The domains of definition of these spectral functions are (in general) only subsets of Γ. To open lenses around ∂D, it is therefore necessary to decompose them into an analytic part and a small remainder. Let M>1 and define open sets {U1ℓ=U1ℓ(ζ,M)}ℓ=15 by (see Figure 4)
[TABLE]
It follows from [4, Lemma 2.13] that f(k)=0 if and only if k∈{±1,±ω}, and that 1+r1(k)r2(k)>0 for all k∈∂D with argk∈(π/3,π)∪(−2π/3,0). Therefore, for each ℓ∈{1,2,3}, r1,ℓ is well-defined for k∈∂U1ℓ∩∂D; r1,4 is well-defined for k∈(∂U14∩∂D)∖{1}; and r1,5 is well-defined for k∈(∂U15∩∂D)∖{ω}. Let n1≥0 denote the smallest integer such that (k−1)n1r1,4(k)=O(1) as k→1, k∈∂D, and let nω≥0 denote the smallest integer such that (k−ω)nωr1,5(k)=O(1) as k→ω, k∈∂D.
We now find decompositions of {r1,ℓ}ℓ=15; the decompositions of {r2,ℓ}ℓ=15 will then be obtained using the symmetry (4.7). Let N≥1 be an integer.
Lemma 5.1** (Decomposition lemma).**
There exist M>1 and decompositions
[TABLE]
such that {r1,ℓ,a,r1,ℓ,r}ℓ=15 satisfy the following properties:
(a)
For each ζ∈I, t≥1, and ℓ∈{1,…,5}, r1,ℓ,a(x,t,k) is defined and continuous for k∈Uˉ1ℓ and analytic for k∈U1ℓ.
2. (b)
For each ζ∈I, t≥1, and ℓ∈{1,…,5}, r1,ℓ,a obeys
[TABLE]
where R1={ωk3,e±5πi/6,−1,−i,−ω,e±6πi,k1}, R2={i,ωk4,ω2k2}, R3={k1,ωk3}, R4={ωk2,ω2k1,k3}, R5={ω2k2,k1}, and the constant C is independent of ζ,t,k. Moreover, for ζ∈I and t≥1,
[TABLE]
and these estimates hold for k∈Uˉ14 and k∈Uˉ15, respectively.
3. (c)
For each 1≤p≤∞ and ℓ∈{1,…,5}, the Lp-norm of r1,ℓ,r(x,t,⋅) on ∂Uˉ1ℓ∩∂D is O(t−N) uniformly for ζ∈I as t→∞.
Proof.
The function θ↦−iΦ21(ζ,eiθ)=(ζ−cosθ)sinθ is real-valued and bijective on each connected component of ∂U1ℓ∩∂D, ℓ=1,…,5. Thus the statement can be proved using similar arguments as in [9]. Since these arguments are rather standard by now, we omit details.
∎
In what follows, shrinking M>1 if necessary, we assume that ∣k0∣>M for all k_{0}\in\mathsf{Z}\cap\big{(}D_{\mathrm{reg}}^{R}\cup(1,\infty)\big{)} and that ∣k0∣<M−1 for all k_{0}\in\mathsf{Z}\cap\big{(}D_{\mathrm{reg}}^{L}\cup(-1,0)\big{)}.
It is easy to check (using the second equation in (4.7)) that r~(k)∈R for k∈∂D∖{−ω2,ω2} and that r~(k)=r~(ωk1)r~(ω2k1). Using also the first equation in (4.7), we infer that r2,ℓ(k)=r~(k)r1,ℓ(kˉ−1), k∈∂D∩U1ℓ, ℓ=1,…,5. Hence, for each ℓ∈{1,…,5} we let U2ℓ:={k∣kˉ−1∈U1ℓ} and define a decomposition r2,ℓ=r2,ℓ,a+r2,ℓ,r by
[TABLE]
We now define the first transformation n→n(1), which consists in opening lenses around ∂D∖Q. As mentioned in Section 4, we only need to define it explicitly in the sector S. We introduce a new contour Γ(0), which coincides as a set with Γ∩S, but is oriented and labeled differently, see Figure 5. We let Γj(0) denote the subcontour of Γ(0) labeled by j in Figure 5. For example,
[TABLE]
We will open lenses differently on the four parts of Γ(0). On Γ9r(0), we will use the factorization
[TABLE]
where
[TABLE]
and
[TABLE]
On Γ2(0), we will use the factorization
[TABLE]
On Γ5(0), we will use the factorization
[TABLE]
where
[TABLE]
and aij,a,aij,r are the analytic continuation and the remainder of aij from Lemma 5.1, e.g., a13,a=−r1,4,a(ω2k1) and a23,a=r2,3,a(ωk1).
Finally, on Γ8(0), we will use the factorization
[TABLE]
where
[TABLE]
and bij,a,bij,r are the analytic continuation and the remainder of bij from Lemma 5.1, e.g., b12,a=−r1,5,a(k) and b23,a=r2,5,a(ωk1).
We do not write down the long expressions for v2,r(1),v5,r(1) and v8,r(1) which are similar to the expression for v2,r(1) given in [4, Section 8]; the only property of these matrices that is important for us is that
Let Γ(1) be the contour shown in Figure 6, and define G(1) for k∈S by
[TABLE]
We now appeal to the A- and B-symmetries to extend the definition of G(1) to the whole complex plane:
[TABLE]
Define the sectionally meromorphic function n(1) by
[TABLE]
The functions G(1) and n(1) are analytic on C∖Γ(1). Indeed, let us look for example at the region on the − side of Γ8(1) that is inside the lens; in this region G(1)=v7(1) is given in terms of r1,5,a(k), r2,5,a(ωk1), and r2,4,a(ω2k), and it follows from Lemma 5.1 and the definitions of U15, U25, and U24 that these functions are all analytic in this region.
The following lemma is a direct consequence of Figure 3. In this lemma, the disks Dϵ(ωj) have been excluded; this is because v7(1),v8(1),v9(1) (and hence also n(1)(x,t,k)) are singular at k=ω, due to the fact that f(ω)=f(1)=0.
Lemma 5.2**.**
For any ϵ>0, G(1)(x,t,k) and G(1)(x,t,k)−1 are uniformly bounded for k∈C∖(Γ(1)∪∪j=02Dϵ(ωj)), t≥1, and ζ∈I. Furthermore, G(1)(x,t,k)=I for all large enough ∣k∣.
Let Γ⋆(1) be the set of self-intersection points of Γ(1). The jump matrix v(1) for n(1) is given on Γ(1)∖Γ⋆(1) as follows: For j=9L,9r,9R,1,…,9, the matrix vj(1) is given by (5.2)–(5.5); for j=1′′,1r′′,4r′,4′ it is given by
[TABLE]
for j=1s it is given by
[TABLE]
and similar expressions are valid for j=2s,3s,4s. Using the symmetries in (4.4) we extend v(1) to all of Γ(1)∖Γ⋆(1).
Since n(1)=n near all the points of Z^, the residue conditions (3.5)–(3.6) are not affected by the transformation n→n(1).
The function n(1) therefore satisfies the following RH problem for j=1.
RH problem 5.3** (RH problem for n(j)).**
Find n(j)(x,t,k) with the following properties:
(a)
n(j)(x,t,⋅):C∖(Γ(j)∪Z^)→C1×3* is analytic.*
2. (b)
On Γ(j)∖Γ⋆(j), the boundary values of n(j) exist, are continuous, and satisfy n+(j)=n−(j)v(j).
3. (c)
n(j)(x,t,k)=O(1)* as k→k⋆∈Γ⋆(j)∖{1,ω,ω2}.*
4. (d)
n(j)* obeys the symmetries n(j)(x,t,k)=n(j)(x,t,ωk)A−1=n(j)(x,t,k−1)B for k∈C∖Γ(j).*
5. (e)
n(j)(x,t,k)=(1,1,1)+O(k−1)* as k→∞.*
6. (f)
At each point of Z^, one entry of n(j) has (at most) a simple pole while two entries are analytic. Moreover,
n(j) satisfies the residue conditions (3.5)–(3.6) with n replaced by n(j).
Note that n(1) is singular at the points 1,ω,ω2 in general.
The behavior of n(1) near these singularities is as follows:
As k→ω from the right side of Γ8(1) (i.e. k∈D4 and ∣k∣>1),
[TABLE]
and as k→ω from the left side of Γ8(1) (i.e. k∈D1 and ∣k∣<1),
[TABLE]
We know from [4, Lemma 2.13] that f(±1)=f(±ω)=0. Since f≥0 on ∂D, these zeros must be at least double zeros.
One could try to make the solution of this singular RH problem unique by specifying the pole structure at the points 1,ω,ω2 in further detail, but since the singularities at 1,ω,ω2 will be removed by the global parametrix below, we do not need to do this.
6. The n(1)→n(2) transformation
The jump matrix v(1) admits the following factorizations on Γ(1)∩S (the subscripts u and d indicate that the corresponding matrix will be deformed up or down):
[TABLE]
where
[TABLE]
Let Γ(2) be the contour shown in Figure 7, and let Γj(2) be the subcontour of Γ(2) labeled by j in Figure 7. We emphasize that Γ10(2):={eiθ∣θ∈(arg(ω2k2),32π)} ends at ω.
Define the sectionally meromorphic function n(2) by
[TABLE]
where G(2) is defined for k∈S by
[TABLE]
and G(2) is extended to all of C∖Γ(2) using the A- and B-symmetries (as in (5.7)). Using Lemma 5.1 and Figure 3, we infer that the following holds.
Lemma 6.1**.**
For any ϵ>0, G(2)(x,t,k) and G(2)(x,t,k)−1 are uniformly bounded for k∈C∖(Γ(2)∪∪j=02Dϵ(ωj)), t>0, and ζ∈I. Furthermore, G(2)(x,t,k)=I whenever ∣k∣ is large enough.
The jumps vj(2) of n(2) are given for j=1,…,11 by (6.1) and
[TABLE]
All other jumps on Γ(2)∩S are small as t→∞. Indeed, this follows from the signature tables in Figure 3 together with the following observations. On Γ9r(2), v(2)−I is small because it involves small remainders.
On Γ4r′(2) and Γ1r′′(2), v(2)−I is small as a consequence of the following lemma which follows in the same way as [4, Lemma 8.5].
Lemma 6.2**.**
The L∞-norm of v(2)−I on Γ4r′(2)∪Γ1r′′(2) is O(t−N−1) as t→∞ uniformly for ζ∈I.
We finally consider the jumps vj(2)=vj(1), j=1s,…,4s and
[TABLE]
If the initial data u0,v0 have compact support so that all the spectral functions have analytic continuations and we can choose bij,a=bij, then a straightforward calculation shows that these jumps are absent (i.e., vj(2)=I, j=1s,…,8s) as a consequence of the relation (4.6) and the definition (2.10) of f(k). In general, it seems difficult to construct analytic approximations which preserve the nonlinear relation (4.6). Therefore, the jump matrices
vj(2), j=1s,…,8s, will generally be nontrivial. However, as the next lemma demonstrates, it is not difficult to choose the analytic approximations so that these jumps are uniformly small for large t.
Lemma 6.3**.**
It is possible to choose the analytic approximations so that the L∞-norm of vj(2)−I on Γj(2), j=1s,…,8s, is O(t−N) as t→∞ uniformly for ζ∈I.
Proof.
Let us consider v1s(2); the other jumps are handled similarly. We see from (5.10) that v1s(2)=v1s(1) has ones along the diagonal and that each of its off-diagonal entries is suppressed by an exponential of the form e−t∣ReΦij∣ where ∣ReΦij(ζ,k)∣≥c∣k−ω∣ on Γ1s(2). Thus, by Lemma 5.1, v1s(2)−I is small as t→∞ everywhere on Γ1s(2) except possibly near ω. On the other hand, we know that the matrix v1s(2)−I vanishes identically on Γ1s(2) if all the spectral functions have analytic continuations thanks to (4.6).
This means that if we choose all the analytic approximations such that they agree with the functions they are approximating to sufficiently high order at each of the sixth roots of unity κj (in the sense of (6.5) below), then we can ensure that
[TABLE]
uniformly for ζ∈I, and the lemma follows.
To construct analytic approximations of the above type, we proceed as follows. For definiteness, let us consider b13. The analytic approximation b13,a of b13 is needed in a region U:={k∣argk∈(arg(ω2k2),32π),1<∣k∣<M} to the right of Γ8(1)=Γ10(2). Since f(1)=0 and r2(1)=−1, b13 has a singularity at ω. Thus, we first choose m≥1 such that B(k):=(k−ω)mb13(k) is regular at ω.
Applying the method of [9], we construct a decomposition B=Ba+Br such that
[TABLE]
This implies in particular that Br has a zero of order at least N1 at k=ω.
Then we define b13,a:=(k−ω)−mBa and b13,r:=(k−ω)−mBr. By choosing N1 large enough, we can ensure that the L∞-norm of b13,r is uniformly small for large t and that
[TABLE]
where ∑j=−mNbj(k−ω)j denotes the expansion of b13 to order N at ω, i.e., the expansion such that b13(k)−∑j=−mNbj(k−ω)j=O((k−ω)N+1) as k→ω.
This means that b13,a approximates b13 to order N at ω. In a similar way, we construct analytic approximations which agree with the functions they are approximating to order N at each κj that lies in their domain of definition.
∎
The jumps on Γ(2)∖S can be obtained using the symmetries (4.4).
The function n(2) satisfies RH problem 5.3 with j=2.
The next transformation n(2)→n(3) will make v(3)−I small everywhere on a new contour Γ(3), except on twelve small crosses centered at the saddle points {kj,ωkj,ω2kj}j=14. It will also change the residue conditions (3.5)–(3.6).
To define this transformation, we first need to construct a global parametrix.
7. Global parametrix
For each ζ∈I, define the analytic functions
[TABLE]
by (2.9). The functions {δj}15 obey the jump relations
[TABLE]
where the contours Γ2(2), Γ5(2), and Γ10(2) are oriented as in Figure 7, and
[TABLE]
Further properties of the functions δj are collected in the following lemma.
Lemma 7.1**.**
The functions δj(ζ,k), j=1,…,5, have the following properties:
(a)
The functions {δj(ζ,k)}j=15 can be written as
[TABLE]
where for s∈{eiθ:θ∈[2π,32π]}, k↦lns(k−s):=ln∣k−s∣+iargs(k−s) has a cut along {eiθ:θ∈[2π,args]}∪(i,i∞), and satisfies args(1)=2π. The νj are defined by
[TABLE]
and the functions χj are defined by
[TABLE]
and the integration paths starting at ω2k2 are subsets of ∂D oriented in the counterclockwise direction.
2. (b)
The functions {δj(ζ,k)}j=15 can be written as
[TABLE]
where for s∈{eiθ:θ∈[2π,32π]}, k↦ln~s(k−s):=ln∣k−s∣+iarg~s(k−s) has a cut along {eiθ:θ∈[args,π]}∪(−∞,0), satisfies arg~s(1)=0, and χ~j(ζ,k) is defined in the same way as χj(ζ,k) except that lns is replaced by ln~s and lnω is replaced by ln~ω.
3. (c)
For each ζ∈I and j∈{1,…,5}, δj(ζ,k) and δj(ζ,k)−1 are analytic functions of k in their respective domains of definition. Moreover, for any ϵ>0,
[TABLE]
4. (d)
As k→ωk4 along a path which is nontangential to ∂D, we have
[TABLE]
and as k→ω2k2 along a path which is nontangential to ∂D, we have
[TABLE]
where C is independent of ζ∈I.
Proof.
All assertions follow from the definitions (2.9) of the functions δj.
∎
We will also need the following result.
Lemma 7.2**.**
For all ζ∈(31,1), the following inequalities hold:
[TABLE]
Proof.
For ζ∈(31,1), we have −6π<argk4<0 and −43π<argk2<−32π. Thus the claim follows from [4, Lemma 2.13].
∎
In what follows, we often write δj(k) for δj(ζ,k) for conciseness. For k∈C∖(∂D∪Z^), we define
[TABLE]
where P is given by (2.11). The function Δ33 satisfies Δ33(ζ,k1)=Δ33(ζ,k), and
[TABLE]
Define Δ11(ζ,k)=Δ33(ζ,ωk) and Δ22(ζ,k)=Δ33(ζ,ω2k), and define
[TABLE]
Then Δ obeys the symmetries
[TABLE]
and satisfies the jump relations
[TABLE]
and
[TABLE]
The following lemma is a direct consequence of (7.6) and of Lemma 7.1.
Lemma 7.3**.**
For any ϵ>0, Δ(ζ,k) and Δ(ζ,k)−1 are uniformly bounded for k∈C∖(∪j=02Dϵ(ωj)∪∂D∪∪k0∈Z^Dϵ(k0)) and ζ∈I. Furthermore, Δ(ζ,k)=I+O(k−1) as k→∞.
8. The n(2)→n(3) transformation
Define the sectionally meromorphic function n(3) by
[TABLE]
where Γ(3)=Γ(2). The jumps for n(3) on Γ(3) are given by v(3)=Δ−−1v(2)Δ+.
Lemma 8.1**.**
The jump matrix v(3) converges to the identity matrix I as t→∞ uniformly for ζ∈I and k∈Γ(3) except near the twelve saddle points {kj,ωkj,ω2kj}j=14, i.e., for ζ∈I,
[TABLE]
Proof.
From the expressions for vj(1), j=2,5,8, in (5.3)–(5.5) together with (6.4), (7.5), (7.7), (7.8), we deduce that
[TABLE]
Using that the matrices Δ−−1vj,r(1)Δ+, j=2,5,8, are small as t→∞, and recalling the symmetries (4.4) and Lemmas 6.2 and 6.3, we infer that v(3)−I tends to [math] as t→∞, uniformly for k∈Γ′(3).
∎
We next consider the residue conditions at the points in Z^.
Lemma 8.2** (Residue conditions for n(3)).**
The function n(3) obeys the following residue conditions at the points in Z^:
(a)
for each k0∈Z∖R with Rek0>0,
[TABLE]
2. (b)
for each k0∈Z∩R with Rek0>0,
[TABLE]
3. (c)
for each k0∈Z∖R with Rek0<0,
[TABLE]
4. (d)
for each k0∈Z∩R with Rek0<0,
[TABLE]
where the (x,t)-dependence has been suppressed for clarity.
Moreover, at each point of Z^, two entries of n(3) are analytic while one entry has (at most) a simple pole.
Proof.
Since Δ(k)=Δ(ζ,k) is analytic at each point of k0∈Z∩{Rek0<0}, the claims (c) and (d) regarding points k0∈Z with Rek0<0 follow easily from RH problem 3.1 and the fact that n(3)=nΔ near every point of Z.
It remains to consider the points k0∈Z with Rek0>0.
We prove the first residue condition in (8.4); the other conditions are proved in a similar way. Let k0∈Z∖R be such that Rek0>0. Recall that n(2) obeys the same residue conditions as n; in particular, by (3.5),
[TABLE]
Since Δ33 has a simple zero at k0 and Δ11(k)=Δ33(ωk) has a simple pole at k0, n3(3) has a removable singularity at k0 and n1(3) has a simple pole at k0. Using (8.8), we obtain
[TABLE]
and hence
[TABLE]
This shows that only the first entry of n(3) is singular at k0 and that the corresponding residue is as stated in (8.4).
∎
Using Lemma 8.2, we infer that n(3) satisfies RH problem 5.3 for j=3 except that item (\refRHnjitemf) describing the behavior near points in Z^ must be replaced by the following:
(f′)
At each point of Z^, two entries of n(3) are analytic while one entry has (at most) a simple pole. Moreover, for k0∈Z such that Rek0>0, n(3) satisfies the residue conditions (8.4)–(8.5), while for k0∈Z such that Rek0<0, n(3) satisfies the residue conditions (8.6)–(8.7).
The residue conditions in (8.4)–(8.7) involve the following exponentials:
(a)etΦ31(x,t,k0) and e−tΦ32(x,t,kˉ0) for k0∈DregR, (b)etΦ21(x,t,k0) for k0∈(1,∞), (c)e−tΦ31(x,t,k0) and etΦ32(x,t,kˉ0) for k0∈DregL, and (d)e−tΦ21(x,t,k0) for k0∈(−1,0). It follows from the signature tables of Φ21, Φ31, and Φ32 (see Figure 3) that the real parts of all the exponents in these exponentials are negative. Thus, all the residues of n(3) at points in Z^ are suppressed by exponentially small factor as t→∞. This suggests that the poles in Z^ have no effect on the leading large t asymptotics of n(3). Our next transformation will help us make this claim precise.
9. The n(3)→n(4) transformation
The fourth transformation n(3)→n(4) replaces the residue conditions (8.4)–(8.7) by jumps on small circles.
For each k0∈Z, we let Dϵ(k0) be a small open disk centered at k0 of radius ϵ>0. We let Dϵ(k0)−1 and Dϵ(k0)∗ be the images of Dϵ(k0) under the maps k↦k−1 and k↦kˉ, respectively. If k0∈R, then Dϵ(k0)∗=Dϵ(k0). Let ∂Dϵ(k0) and ∂Dϵ(k0)∗ be oriented counterclockwise, and let ∂Dϵ(k0)−1 be oriented clockwise. Let
[TABLE]
so that ∂Dsol is the union of 6∣Z∩R∣+12∣Z∖R∣ small circles.
By shrinking ϵ>0 if necessary, we may assume that these circles do not intersect each other, and that they do not intersect Γ(3). We let Γ(4):=Γ(3)∪∂Dsol be the union of Γ(3) and the small circles ∂Dsol, see Figure 8. Let Γ⋆(4) be the set of intersection points of Γ(4). Clearly, Γ⋆(4)=Γ⋆(3).
The function n(4) is defined to equal n(3) except in Dsol where we define n(4)(x,t,k) as follows. If k0∈Z∖R, we define n(4) for k∈Dϵ(k0)∪Dϵ(k0)∗ by
[TABLE]
where
[TABLE]
and if k0∈Z∩R, we define n(4) for k∈Dϵ(k0) by
[TABLE]
where
[TABLE]
We then extend n(4) to all of Dsol by means of the A- and B-symmetries (4.5).
It follows from the above definition of n(4) and Lemma 8.2 that n(4) has no poles at the points in Z^. Moreover, on Γ(4)∖Γ⋆(4), the boundary values of n(4) exist, are continuous, and satisfy n+(4)=n−(4)v(4), where v(4) equals v(3) on Γ and v(4) is defined on ∂Dsol by setting
[TABLE]
and then extending it to all of ∂Dsol by means of the A- and B-symmetries (4.4).
Lemma 9.1**.**
The jump matrix v(4) converges to the identity matrix I as t→∞ uniformly for k∈∂Dsol and ζ∈I. More precisely, for ζ∈I,
[TABLE]
Proof.
The statement is a direct consequence of the uniform exponential decay of the exponentials appearing in the definitions of Q1R,Q7R,Q1L,Q7L,P1R,P1L, together with the A- and B-symmetries.
∎
Due to Lemma 8.1 and the symmetries (4.5), it is sufficient to construct local parametrices approximating n(4) near ωk4 and ω2k2.
10. Local parametrix near ωk4
As k→ωk4, we have
[TABLE]
We define z1=z1(ζ,t,k) by
[TABLE]
where the principal branch is chosen for z^1=z^1(ζ,k), and
[TABLE]
Note that z^1(ζ,ωk4)=1, and t(Φ31(ζ,k)−Φ31(ζ,ωk4))=2iz12. Let ϵ>0 be small and independent of t. The map z1 is conformal from Dϵ(ωk4) to a neighborhood of [math] and its expansion as k→ωk4 is given by
[TABLE]
For all k∈Dϵ(ωk4), we have
[TABLE]
where ln0(k):=ln∣k∣+iarg0k, arg0(k)∈(0,2π), and ln is the principal logarithm. Shrinking ϵ>0 if necessary, k↦lnz^1 is analytic in Dϵ(ωk4), lnz^1=O(k−ωk4) as k→ωk4, and
For simplicity, for a∈C, we will write z1,(0)a:=ealn0z1, z1,⋆a:=ealnz1,⋆, z^1a:=ealnz^1, and z1a:=ealnz1. Using the above expressions for {δj(ζ,k)}j=13, we obtain
We summarize in Lemma 10.1 below some properties of d1,0(ζ,t) and d1,0(ζ,k).
Define
[TABLE]
where σ=diag(1,0,−1) and λ1∈C is a parameter that will be chosen later. For k∈Dϵ(ωk4), define
[TABLE]
Let v~ be the jump matrix of n~, and let v~j denote the restriction of v~ to Γj(4)∩Dϵ(ωk4). In view of (6.1), (8.1) and (10.1), the matrices v~j can be written as
[TABLE]
Let X1ϵ:=∪j=14X1,jϵ, where
[TABLE]
Let k⋆=ωk4.
The above expressions for v~j suggest that we approximate n~ by (1,1,1)Y1m~ωk4, where m~ωk4(x,t,k) is analytic for k∈Dϵ(ωk4)∖X1,
obeys the jump relation m~+ωk4=m~−ωk4v~X1ϵωk4 on X1ϵ where
[TABLE]
and satisfies m~ωk4→I as t→∞ uniformly for k∈∂Dϵ(ωk4).
We choose our free parameter λ1 as follows:
[TABLE]
and define the local parametrix mωk4 by
[TABLE]
where mX,(1)(⋅)=mX,(1)(q1,q3,⋅) is the solution of the model RH problem of Lemma A.1 with
[TABLE]
Lemma 10.1**.**
The function Y1(ζ,t) is uniformly bounded:
[TABLE]
Moreover, the functions d1,0(ζ,t) and d1,1(ζ,k) satisfy
[TABLE]
Proof.
Standard estimates give (10.6) and (10.8). To prove (10.7), we first note that
[TABLE]
We deduce from Lemma 7.1 that if k∈∂D∖{argk∈(π/2,2π/3)} then
[TABLE]
and
[TABLE]
where argi(k)∈(π/2,5π/2).
Hence, for k∈∂D∖{argk∈(π/2,2π/3)},
[TABLE]
Note that the right-hand sides in (10.10) are independent of k.
Since the points k4,ω2k4, k41, ωk41, ω2k41 all lie in ∂D∖{argk∈(π/2,2π/3)}, we obtain
[TABLE]
Similar arguments show that
[TABLE]
Plugging the above expressions into (10.9) and using that
[TABLE]
straightforward calculations show that ∣d1,0(ζ,t)∣=e−πν1.
∎
Lemma 10.2**.**
The function mωk4(x,t,k) defined in (10.5) is an analytic function of k∈Dϵ(ωk4)∖X1ϵ which is uniformly bounded for t≥2, ζ∈I, and k∈Dϵ(ωk4)∖X1ϵ.
Across X1ϵ, mωk4 obeys the jump condition m+ωk4=m−ωk4vωk4, where vωk4 satisfies
[TABLE]
Furthermore, as t→∞,
[TABLE]
uniformly for ζ∈I, and m1X,(1)=m1X,(1)(q1,q3) is given by (A.3).
uniformly with respect to k∈∂Dϵ(ωk4) and ζ∈I.
Recalling the definition (10.5) of mωk4, this gives
[TABLE]
uniformly for k∈∂Dϵ(ωk4) and ζ∈I. This proves (10.12) and (10.13).
∎
11. Local parametrix near ω2k2
As k→ω2k2, we have
[TABLE]
We define z2=z2(ζ,t,k) by
[TABLE]
where the principal branch is chosen for z^2=z^2(ζ,k), and
[TABLE]
Note that z^2(ζ,ω2k2)=1, and t(Φ32(ζ,k)−Φ32(ζ,ω2k2))=2iz22. Provided ϵ>0 is chosen small enough, the map z2 is conformal from Dϵ(ω2k2) to a neighborhood of [math] and its expansion as k→ω2k2 is given by
[TABLE]
For all k∈Dϵ(ω2k2), we have
[TABLE]
where ln0(k):=ln∣k∣+iarg0k, arg0(k)∈(0,2π), and ln is the principal logarithm. Shrinking ϵ>0 if necessary, k↦lnz^2 is analytic in Dϵ(ω2k2), lnz^2=O(k−ω2k2) as k→ω2k2, and
[TABLE]
where arg(ω2k2)∈(2π,32π). By Lemma 7.1, we have
[TABLE]
where we have used the notation z2,(0)a:=ealn0z2, z^2a:=ealnz^2, z2,⋆a:=ealnz2,⋆,
and z2a:=ealnz2 for a∈C. We obtain
We state in Lemma 11.1 below some properties of d2,0(ζ,t) and d2,1(ζ,k). Define
[TABLE]
where σ~:=diag(0,1,−1) and λ2∈C is a parameter that will be chosen below. For k∈Dϵ(ω2k2), define
[TABLE]
Let v~ be the jump matrix of n~, and let v~j be v~ on Γj(4)∩Dϵ(ω2k2). By (6.1), (8.1) and (11.1), the matrices v~j can be written as
[TABLE]
Let X2ϵ:=∪j=14X2,jϵ, where
[TABLE]
are oriented outwards from ω2k2. Let k⋆=ω2k2. The above expressions for v~j suggest that we approximate n~ by (1,1,1)Y2m~ω2k2, where m~ω2k2(x,t,k) is analytic for k∈Dϵ(ω2k2)∖X2,
obeys the jump relation m~+ω2k2=m~−ω2k2v~X2ϵω2k2 on X2ϵ where
[TABLE]
and satisfies m~ω2k2→I as k→∞.
We choose our free parameter λ2 as follows:
[TABLE]
and define the local parametrix mω2k2 by
[TABLE]
where mX,(2)(⋅)=mX,(2)(q2,q4,q5,q6,⋅) is the solution of the model RH problem of Lemma A.2 with
[TABLE]
Using the relation (4.6) together with the fact that
[TABLE]
we infer that q4−qˉ5−q2qˉ6=0, so that (A.5) is fulfilled as it must. The proof of the following lemma is similar to the proof of Lemma 10.1.
Lemma 11.1**.**
The function Y2(ζ,t) is uniformly bounded, i.e., supζ∈Isupt≥2∣Y2(ζ,t)±1∣<C.
Moreover, the functions d2,0(ζ,t) and d2,1(ζ,k) satisfy
[TABLE]
The next lemma follows from the same kind of arguments used to prove Lemma 10.2.
Lemma 11.2**.**
The function mω2k2(x,t,k) defined in (11.4) is an analytic function of k∈Dϵ(ω2k2)∖X2ϵ which is uniformly bounded for t≥2, ζ∈I, and k∈Dϵ(ω2k2)∖X2ϵ.
Across X2ϵ, mω2k2 obeys the jump condition m+ω2k2=m−ω2k2vω2k2, where vω2k2 satisfies
[TABLE]
Furthermore, as t→∞,
[TABLE]
uniformly for ζ∈I, where ∂Dϵ(ω2k2) is oriented clockwise, and m1X,(2) is given by (A.7).
12. The n(4)→n^ transformation
We use the symmetries
[TABLE]
to extend the domains of definition of mωk4 and mω2k2 from Dϵ(ωk4) and Dϵ(ω2k2) to Dωk4 and Dω2k2, respectively, where
[TABLE]
We will show that the solution n^(x,t,k) defined by
[TABLE]
is small for large t.
Let Γ^=Γ(4)∪∂D with D:=Dωk4∪Dω2k2 be the contour displayed in Figure 9, where each circle that is part of ∂D is oriented negatively, and define the jump matrix v^ by
[TABLE]
The function n^ is analytic on C∖Γ^ and satisfies n^+=n^−v^ for k∈Γ^∖Γ^⋆, where Γ^⋆ denotes the points of self-intersection of Γ^. As k→∞, n^(x,t,k)=(1,1,1)+O(k−1).
Let \hat{\mathcal{X}}^{\epsilon}=\bigcup_{j=1}^{2}\big{(}\mathcal{X}_{j}^{\epsilon}\cup\omega\mathcal{X}_{j}^{\epsilon}\cup\omega^{2}\mathcal{X}_{j}^{\epsilon}\cup(\mathcal{X}_{j}^{\epsilon})^{-1}\cup(\omega\mathcal{X}_{j}^{\epsilon})^{-1}\cup(\omega^{2}\mathcal{X}_{j}^{\epsilon})^{-1}\big{)}.
Lemma 12.1**.**
Let w^=v^−I. The following estimates hold uniformly for t≥2 and ζ∈I:
and hence, employing the general identity ∥f∥Lp≤∥f∥L11/p∥f∥L∞(p−1)/p,
[TABLE]
for each 1≤p≤∞. The estimates (12.5) imply that w^∈(L2∩L∞)(Γ^) and that there is a T such that I−C^w^(x,t,⋅)∈B(L2(Γ^)) is invertible whenever ζ∈I and t≥T. So standard RH theory gives
[TABLE]
for ζ∈I and t≥T, where
[TABLE]
Lemma 12.2**.**
Let 1<p<∞. For all sufficiently large t, we have
[TABLE]
Proof.
Suppose t is sufficiently large so that ∥w^∥L∞(Γ^)<Kp−1, where Kp:=∥C^−∥B(Lp(Γ^)) is finite because p>1.
The estimate (12.5) implies that w^∈Lp(Γ^), and so C^w^(1,1,1)∈Lp(Γ^). Thus
[TABLE]
The claim is now a consequence of (12.4) and (12.5).
∎
We now turn to the asymptotics of n^.
The following limit exists as k→∞:
[TABLE]
Lemma 12.3**.**
As t→∞,
[TABLE]
Proof.
Since
[TABLE]
the lemma follows from Lemmas 12.1 and 12.2 and straightforward estimates.
∎
We define the functions {F1(l),F2(l)}l∈Z by
[TABLE]
We infer from (10.13) and (11.9) that F1(l) and F2(l) satisfy (recall that z^1(ζ,ωk4)=1=z^2(ζ,ω2k2) and that ∂Dϵ(ωk4) and ∂Dϵ(ω2k2) are oriented negatively)
[TABLE]
where
[TABLE]
and
[TABLE]
and ν1, ν^1, ν2, ν^2, ν4 have been defined in Lemmas 7.1 and 7.2.
Lemma 12.4**.**
For l∈Z and j=0,1,2, we have
[TABLE]
Proof.
The symmetry properties of v^ imply that
[TABLE]
Therefore, for j=0,1,2 we have
[TABLE]
and
[TABLE]
This proves (12.13) and (12.14). The proofs of (12.15) and (12.16) are similar.
∎
Therefore, (12.8), (12.9), and (12.10) imply that n^(1)=(1,1,1)m^(1), where
[TABLE]
as t→∞ uniformly for ζ∈I.
13. Asymptotics of u
Recall from (4.1) that u(x,t)=−i3∂x∂n3(1)(x,t), where n3(x,t,k)=1+n3(1)(x,t)k−1+O(k−2) as k→∞.
Recall also that n(4) is defined to equal n(3) except in Dsol.
Taking also the transformations (5.8), (6.2), (8.1), and (12.1) into account, we obtain
[TABLE]
for k∈C∖(Γ^∪Dˉ∪Dˉsol), where G(1), G(2), Δ are defined in (5.6), (6.3), and (7.6), respectively.
Thus
Recall from Lemma 7.2 that ν^1=ν3−ν1≥0 and ν^2=ν2+ν5−ν4≥0. From (10.7), (11.5), (12.11), and (12.12), we see that Z1,13=λ14Z1,31 and Z2,23=λ24Z2,32. Moreover, by (10.4) and (11.3), we have \lambda_{1}^{4}=-\tilde{r}(k_{4}^{-1})^{-1}\big{(}\frac{\mathcal{P}(\omega k_{4})}{\mathcal{P}(\omega^{2}k_{4})}\big{)}^{2} and \lambda_{2}^{4}=-\tilde{r}(k_{2}^{-1})\big{(}\frac{\mathcal{P}(\omega^{2}k_{2})}{\mathcal{P}(\omega k_{2})}\big{)}^{2}. It follows that, as t→∞,
[TABLE]
The function P(k) obeys the symmetries P(k)=P(k−1)=P(kˉ)−1. It follows that ∣P(k)∣=1 for k∈∂D, and thus
As in [7], it is possible to show that the above asymptotics can be differentiated with respect to x without increasing the error term. Therefore, as t→∞,
Let X⊂C be the cross defined by X=X1∪⋯∪X4, where the rays
[TABLE]
are oriented away from the origin. The proofs of the following two lemmas are similar to (but more complicated than) the proof for the parabolic cylinder model problem that appears in [9, 11]. A detailed proof of Lemma A.2 can be found in [5].
Lemma A.1** (Model RH problem needed near k=ωk4 for Sector IV).**
Let q1,q3∈C be such that 1+∣q1∣2−∣q3∣>0, define
[TABLE]
and define the jump matrix vX,(1)(z) for z∈X by
[TABLE]
where the branches for ziν3,ziν1 lie on the negative real axis and the branch for z(0)iν1 lies on the positive real axis, such that ziν=∣z∣iνe−νarg(z), arg(z)∈(−π,π) and z(0)iν=∣z∣iνe−νarg0(z), arg0(z)∈(0,2π). Then the RH problem
(a)
mX,(1)(q1,q3,⋅):C∖X→C3×3* is analytic;*
2. (b)
on X∖{0}, the boundary values of mX,(1) exist, are continuous, and satisfy m+X,(1)=m−X,(1)vX,(1);
3. (c)
mX,(1)(q1,q3,z)=I+O(z−1)* as z→∞, and mX,(1)(q1,q3,z)=O(1) as z→0;*
has a unique solution mX,(1)(q1,q3,z). This solution satisfies
[TABLE]
where the error term is uniform with respect to argz∈[0,2π] and q1,q3 in compact subsets of {q1,q3∈C∣1+∣q1∣2−∣q3∣>0}, and β12(1),β21(1) are defined by
[TABLE]
where ν^1:=ν3−ν1≥0.
(Note that β12(1)β21(1)=ν^1.)
Lemma A.2** (Model RH problem needed near k=ω2k2).**
Let q2,q4,q5,q6∈C be such that 1+∣q2∣2−∣q4∣2>0, 1−∣q5∣2−∣q6∣2>0, and
[TABLE]
Define ν2,ν4,ν5∈R by
[TABLE]
Define the jump matrix vX,(2)(z) for z∈X by
[TABLE]
where ziν has a branch cut along (−∞,0] and z(0)iν has a branch cut along [0,+∞) such that ziν=∣z∣iνe−νarg(z), arg(z)∈(−π,π), and z(0)iν=∣z∣iνe−νarg0(z), arg0(z)∈(0,2π). Then the RH problem
(a)
mX,(2)(⋅)=mX,(2)(q2,q4,q5,q6,⋅):C∖X→C3×3* is analytic;*
2. (b)
on X∖{0}, the boundary values of mX,(2) exist, are continuous, and satisfy m+X,(2)=m−X,(2)vX,(2);
3. (c)
mX,(2)(z)=I+O(z−1)* as z→∞, and mX,(2)(z)=O(1) as z→0;*
has a unique solution mX,(2)(z). This solution satisfies
[TABLE]
where the error term is uniform with respect to argz∈[−π,π] and q2,q4,q5,q6 in compact subsets of {q2,q4,q5,q6∈C∣1+∣q2∣2−∣q4∣2>0,1−∣q5∣2−∣q6∣2>0,q4−qˉ5−q2qˉ6=0}, and
[TABLE]
where ν^2:=ν2+ν5−ν4. (Note that β12(2)β21(2)=ν^2.)
Acknowledgements
Support is acknowledged from the Novo Nordisk Fonden Project, Grant 0064428, the European Research Council, Grant Agreement No. 682537, the Swedish Research Council, Grant No. 2015-05430, Grant No. 2021-04626, and Grant No. 2021-03877, and the Ruth and Nils-Erik Stenbäck Foundation.
Bibliography16
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[1] J. G. Berryman, Stability of solitary waves in shallow water, Phys. Fluids 19 (1976), 771–777.
2[2] L. V. Bogdanov and V. E. Zakharov, The Boussinesq equation revisited, Phys. D 165 (2002), 137–162.
3[3] J. Boussinesq, Théorie des ondes et des remous qui se propagent le long d’un canal rectangulaire horizontal, en communiquant au liquide contenu dans ce canal des vitesses sensiblement pareilles de la surface au fond, J. Math. Pures Appl. 17 (1872), 55–108.
4[4] C. Charlier and J. Lenells, On Boussinesq’s equation for water waves, ar Xiv:2204.02365.
5[5] C. Charlier and J. Lenells, Boussinesq’s equation for water waves: asymptotics in sector V, ar Xiv:2301.10669.
6[6] C. Charlier and J. Lenells, Direct and inverse scattering for the Boussinesq equation with solitons, ar Xiv:2302.14593.
7[7] C. Charlier, J. Lenells, and D. Wang, The ”good” Boussinesq equation: long-time asymptotics, Analysis & PDE , to appear, ar Xiv:2003.04789.
8[8] P. Deift, Some open problems in random matrix theory and the theory of integrable systems. In Integrable systems and random matrices , 419–430, Contemp. Math. 458 , Amer. Math. Soc., Providence, RI, 2008.