Scaling-critical well-posedness for
continuum Calogero–Moser models
Abstract.
We prove that the focusing and defocusing continuum Calogero–Moser models are well-posed in the scaling-critical space . In the focusing case, this requires solutions to have mass less than that of the soliton.
1. Introduction
The goal of this paper is to address the well-posedness theory of the following two dispersive equations:
(CCM) |
As we will explain, a plus sign in front of the nonlinearity corresponds to a focusing equation; a minus sign yields a defocusing model. Throughout the paper, the and signs will be reserved for this dichotomy: the upper sign will correspond to the focusing case and the lower sign to the defocusing case.
The unknown field appearing in (CCM) is a complex-valued function of . We further demand that belongs to the Hardy space
The operator appearing in the nonlinearity of (CCM) denotes the Cauchy–Szegő projection from onto ; see (1.17) and (1.19).
The defocusing (CCM) appears first as a special case of the ‘intermediate nonlinear Schrödinger equation’ introduced in [Pelinovsky1995]. Concretely, this equation is derived as a model for the envelope of an approximately monochromatic wave packet at the interface between otherwise quiescent fluid layers of infinite total depth, that is, it provides a modulation theory for the setting of the Benjamin–Ono equation. In addition to deriving a model for the intermediate depth case, Pelinovsky also discovered the important nonlocal structure of the nonlinearity, which had been overlooked in the prior work [Tanaka] on the infinite-depth problem.
Our interest in (CCM) was first sparked by the recent work [GerardLenzmann] centered on the focusing case. This model was formally derived in [Abanov2009] as a continuum limit of the famous Calogero–Moser particle system [Calogero1, Calogero2, Moser]:
(CM) |
This discrete completely integrable system describes the dynamics of a gas of particles interacting pairwise through an inverse square potential. It was subsequently discovered that the system remains completely integrable for interaction potentials derived from the Weierstrass function. Included in this class is the cosecant-squared potential, which arises naturally in the periodic setting. This latter model was first championed by Sutherland [Sutherland1, Sutherland2] in the quantum mechanical setting. Correspondingly, the periodic analogue of (CCM) has been studied under the name Calogero–Sutherland derivative NLS; see [Badreddine2023].
Whether derived as a modulation theory for the Benjamin–Ono equation or as a continuum limit of the Calogero–Moser system, there can be no surprise that the (CCM) equations are completely integrable. This fact will ultimately play a key role in what follows.
The most physically intuitive conserved quantities are
which represent mass and momentum, together with the Hamiltonians
(1.1) |
We caution the reader that these identifications rely on the non-standard Poisson structure naturally associated to (CCM); see [GerardLenzmann]. This exotic structure originates from the use of a gauge transformation to simplify the underlying phase space.
The (CCM) equations are mass-critical: both the class of solutions and the conserved mass are invariant under the scaling
These considerations make the most natural space in which to address the well-posedness problem. In this sense, we are able to give a complete solution to the defocusing problem:
Theorem 1.1 (Defocusing case).
The defocusing (CCM) equation is globally well-posed in the space . Moreover, if is a bounded and equicontinuous set, then the set of orbits
(1.2) |
is bounded and equicontinuous in .
The analogous theorem for periodic initial data was proved recently by Badreddine [Badreddine2023], whose influence on our work will be discussed in due course. One point in which we must diverge is in the treatment of equicontinuity.
Definition 1.2 (Equicontinuity).
Fix . A bounded set is said to be equicontinuous in the topology if
Replacing the norm here by the supremum norm would yield the familiar notion appearing in the Arzelà–Ascoli Theorem. Indeed, boundedness, tightness, and equicontinuity constitute necessary and sufficient conditions for a set to be -precompact. Equicontinuity may also be understood via Plancherel’s Theorem: a bounded set is equicontinuous if and only if
(1.3) |
which is to say, the family of Fourier transforms is tight.
Equicontinuity plays a central role in the treatment of scaling-critical problems. It is precisely this property that prevents physical-space concentration and so blowup. Due to its scaling-critical nature, the conservation of mass is completely insensitive to any changes of scale. On the other hand, control of higher regularity explicitly ensures equicontinuity. Such a higher regularity theory has been developed in [GerardLenzmann] in a manner applicable to both the focusing and defocusing models; see, for example, Theorem 1.3 below. To properly describe this, we must first discuss some startling phenomenology discovered in [GerardLenzmann] regarding the focusing model.
The focusing (CCM) equation admits soliton solutions:
(1.4) |
These (stationary) solitons all have the same mass, namely, . Moreover, the focusing (CCM) admits multisoliton solutions; these have been analyzed in detail in [GerardLenzmann].
The multisoliton solutions are rational functions of at every moment of time. Their poles and residues both evolve in time, with the former satisfying a complex Calogero–Moser system. Such a solution is called an -soliton if there are poles. Their mass is quantized; it is , that is, times the mass of the one-soliton . The most striking discovery, however, is that for , these -solitons exhibit frequency cascades as . As a consequence, for every , the of these smooth solutions is unbounded as .
By contrast, [GerardLenzmann] shows that smooth solutions with mass below that of the one-soliton do not exhibit such norm growth:
Theorem 1.3 ([GerardLenzmann]).
Strictly speaking, the paper [GerardLenzmann] does not discuss well-posedness in the defocusing case; nevertheless, applying the arguments described there yields the results stated above. The paper also demonstrates local well-posedness for regularities and shows that smooth initial data with mass exactly equal to leads to a global smooth solution.
The specific number in Theorem 1.3 originates from the sharp constant in the inequality (2.1). This threshold coincides with the mass of the soliton, precisely because is an optimizer for the inequality (2.1).
When considering initial data from , Theorem 1.3 allows us to discuss the solution to (CCM). The first question we ask about such solutions is one of equicontinuity. The explicit form of the two-soliton solutions presented in [GerardLenzmann] shows that they do not have -equicontinuous orbits. Thus, the global-in-time equicontinuity property of Theorem 1.1 does not extend to the focusing case. On the other hand, the results presented in Theorem 1.3 strongly suggest that global-in-time equicontinuity may hold under a mass constraint, even though the arguments used in [GerardLenzmann] do not yield a proof of this. This is our first result on the focusing problem:
Theorem 1.4 (Equicontinuity for the focusing (CCM)).
If satisfies
(1.6) |
and is equicontinuous in , then the set of orbits
(1.7) |
is bounded and equicontinuous in .
Recall that the two-soliton solutions demonstrate that this conclusion would fail if the number in (1.6) were replaced by any number larger than . At this moment, we are not ready to a make a conjecture about the true mass threshold for global-in-time equicontinuity.
As noted above, control on the frequency distribution in a scaling-critical space is an essential ingredient for proving global well-posedness because it precludes space concentration. For this purpose, it is not necessary that orbits remain equicontinuous globally in time. It would suffice to know that equicontinuous sets of smooth initial data lead to families of orbits that are equicontinuous on compact time intervals. This line of reasoning leads to our introduction of the following mass threshold:
Definition 1.5.
Let denote the maximal constant so that for any bounded and equicontinuous set satisfying
the set of partial orbits
(1.8) |
is -equicontinuous for each choice of .
We are not implicitly assuming here that all choices of smooth initial data lead to a global solution. In the focusing case, this is an open problem. Rather, we will show that finite-time blowup must be accompanied by a loss of equicontinuity; see Lemma 2.4 for details.
In the defocusing case, Theorem 1.1 shows that . Indeed, we will first prove that in Section 3 and then later use this as an ingredient in proving well-posedness in Section 5.
In the focusing case, Theorem 1.4 guarantees . The analysis of multisoliton solutions in [GerardLenzmann] places no restrictions on ; indeed, mass moves to high frequencies in a manner that is linear in time.
The main rationale for introducing the equicontinuity threshold is that it sets the proper generality for our well-posedness analysis of the focusing problem. It will also allow us to treat the focusing and defocusing problems in a parallel manner.
Theorem 1.6 (Global well-posedness in the focusing case).
The focusing (CCM) equation is globally well-posed in the space
The analogous result in the periodic setting was obtained in [Badreddine2023]. The relation between the arguments used here and in [Badreddine2023] will be elaborated below.
In Section 6, we will show how to deduce well-posedness at higher regularities from our scaling-critical results. This rests on a new technique for proving -equicontinuity that may be of independent interest.
As mentioned earlier, the complete integrability of (CCM) will play a central role in our analysis. This integrability will manifest in two ways: through the Lax pair and an explicit formula (in the sense of Gérard).
The Lax pair we employ is the following:
(1.9) |
A Lax pair formulation of the full intermediate NLS was introduced in [PelinovskyG1995]; recall that one may recover the defocusing (CCM) as an infinite depth limit of this model. The Lax pair (1.9) is a small modification of the one presented in [GerardLenzmann], which uses
(1.10) |
Evidently, the change to has no effect on the commutator relation. In choosing to center our analysis on (1.9), we were very much informed by our prior work [Killip2023] on the Benjamin–Ono equation. Concretely, we favor because it enjoys two advantageous properties : First, (CCM) may be written as
(1.11) |
and secondly, . As the constant function lies outside the natural Hilbert space setting, this latter relation requires some further interpretation; see (4.3) for a precise statement.
The second manifestation of complete integrability is an explicit formula of a type championed by Gérard and collaborators [MR3301889, MR4662323, Gerard2023Szego]:
Theorem 1.7.
For the full definitions of the linear functional and of the operator , see Section 4. Naively speaking, represents integration over the whole line, while generalizes the operator of multiplication by . Note that is not a bounded linear functional on , nor can multiplication by be interpreted as a self-adjoint operator in Hardy space.
It is worth recalling that an explicit form of the solution to the Calogero–Moser system (CM) was given long ago in [MR455039]. Concretely, it was shown that one may describe particles evolving according to this system as the eigenvalues of a straight line trajectory in the space of symmetric matrices. This is evidently not a very close analogue of (1.12), which speaks directly to the subtlety of the manner in which (CCM) arises as a continuum limit of the particle system.
The analogue of (1.12) appropriate to the periodic (CCM) was introduced in [Badreddine2023] and played a central role in that analysis.
In Theorem 4.1 we show that the explicit formula (1.12) holds for solutions with smooth well-decaying initial data. This is the form that we will employ in demonstrating scaling-critical well-posedness. Once this is achieved, we may then extend this formula to all solutions by using the resulting continuity of the data-to-solution map in concert with the continuity of the right-hand side that will be demonstrated using the tools developed as a part of our analysis.
Overview of the proofs
The central theme of this paper is to demonstrate how to prove well-posedness by synthesizing explicit representations of the type (1.12) with the tools and techniques developed as part of the method of commuting flows [MR4304314, harropgriffiths2022sharp, harropgriffiths2023global, Killip2023, MR4628747, MR3990604, MR3820439]. In particular, the methods we employ to prove equicontinuty draw from these earlier works. On the other hand, we will employ no regularized flows or commuting Hamiltonians in this paper.
The question central to well-posedness is this: Does any sequence of smooth and well-decaying initial data that converges in lead to a sequence of solutions that converges in on any compact time interval ?
By the conservation of , such sequences of solutions will always admit subsequential limits in the weak topology (pointwise in time). A first step forward is to show that there is a unique such subsequential limit and, correspondingly, one has weak convergence without passing to a subsequence. This is one of the roles played by the explicit formula in [Badreddine2023] and in this paper; see Corollary 5.2.
To upgrade weak convergence to strong convergence one must preclude a loss of mass. In the periodic setting of [Badreddine2023], this is a question of equicontinuity. On the line, one must also demonstrate tightness.
Our route to controlling the equicontinuity properties of solutions is through the spectral theory of the Lax operator . Recall that (formally at least) the Lax equation ensures that and remain unitarily equivalent. In the periodic setting, the Lax operator has compact resolvent and so its spectral properties are encoded through the associated sequence of eigenvalues and their eigenvectors. In [Badreddine2023], loss of mass is precluded by demonstrating continuity properties of these eigenvalues/vectors.
In the whole line setting, the spectral theory is more complicated; indeed, even the spectral type is unknown at this time. In Section 2, we construct the Lax operator as a self-adjoint operator for general . This involves an improvement on the earlier analysis of [GerardLenzmann]: In Lemma 2.1, we prove that is a relatively compact perturbation of the case , rather than an infinitesimally form bounded perturbation as in [GerardLenzmann]. The advantages of this small improvement accumulate as we progress.
In Lemmas 2.6 and 2.7, we show that the difference between the resolvents
is trace class; moreover, the trace is a conserved quantity. Consequently,
(1.13) |
is also conserved. In Section 3, we use to prove our equicontinuity results.
Lemma 3.1 describes the connections between equicontinuity and the large- behaviour of . We see that converges to zero uniformly on equicontinuous sets. However, to prove equicontinuity, we must show convergence of the quadratic part of . By virtue of a favorable sign of the higher-order terms in , this approach quickly yields equicontinuity in the defocusing case.
In the focusing case, the sign is unfavorable! Nevertheless, by exploiting the inequality (2.1) of [GerardLenzmann] in concert with certain operator analysis (which appears to be novel), we are able to subordinate the higher-order terms in to the quadratic term and so deduce equicontinuity up to the threshold.
The climax of Section 4 is the verification of the explicit formula (1.12) for smooth and well-decaying initial data; see Theorem 4.1. Much of this section is devoted to developing the relevant operator theory in a manner that will allow us to consider limits of such solutions later.
In Section 5, we complete the proof of well-posedness in . Recall that our goal is to show that -Cauchy sequences of smooth well-decaying initial data produce solutions that converge in on compact time intervals. At this moment in the argument, we know weak convergence at each moment of time. We upgrade this by demonstrating compactness. This requires three inputs: equicontinuity and tightness of orbits as functions of and thirdly, -equicontinuity in time.
Spatial equicontinuity is settled already in Section 3. As we will see, this equicontinuity is then used to aid in verifying the other two requirements. See Lemma 5.4 for the treatment of equicontinuity in time and Proposition 5.6 for tightness. To prove the latter, we rely again on the explicit formula.
Section 5 concludes with the proof of Theorem 1.7. This combines the well-posedness proved earlier in the section with the operator theory developed in Section 4.
Finally, in Section 6, we extend well-posedness to for . The cornerstone of this extension is the demonstration of equicontinuity of orbits in . Breaking from previous works, we introduce a method based on Loewner’s Theorem on operator monotone functions (see the monograph [MR3969971]). We believe this represents an elegant and efficient approach to this question that will prove useful in treating other completely integrable systems.
Acknowledgements
R.K. was supported by NSF grant DMS-2154022; M.V. was supported by NSF grant DMS-2054194. The work of T.L. was also supported by these grants.
1.1. Notation
Throughout this paper, we employ the standard notation to indicate that for some constant ; if and , we write . Occasionally, we adjoin subscripts to this notation to indicate dependence of the constant on other parameters; for instance, we write when for some constant depending on .
Hardy spaces will be denoted . These are the (closed) subspaces of comprised of those functions whose Poisson integral
(1.14) |
is holomorphic (in the upper half-plane). By Hölder’s inequality,
(1.15) |
for any .
For we define the Sobolev spaces as the completion of with respect to the norm
The Hardy–Sobolev spaces comprise those functions in whose Fourier transform is supported on .
One important property of the Hardy–Sobolev spaces that is not enjoyed by the pure Sobolev spaces is that products are well defined even at negative regularity. For example,
(1.16) |
The proof is elementary; see [Killip2023, Lem. 2.2] for details.
Our convention for the Fourier transform is
(1.17) |
With this definition,
(1.18) |
We use the following notation for the Cauchy–Szegő projections
(1.19) |
We will employ Littlewood–Paley decompositions with frequency parameters . For a smooth, non-negative function supported on with for , we define as the Fourier multiplier with symbol and then . Observe that
We will often adopt the more compact notations , , and .
Throughout the paper, we write to denote the norm of an operator acting on the Hilbert space . Similarly, we reserve the notations and to denote the trace and Hilbert–Schmidt classes over this same Hilbert space. For further information on such trace ideals, we recommend the book [TraceIdeals].
2. The Lax operator
We write . For , the resolvent associated with is
In the focusing case, the mass threshold marks an important transition in the spectral theory of the Lax operator presented in (1.9). This particular number originates from the sharpness of the constant in the inequality
(2.1) |
demonstrated already in [GerardLenzmann].
The inequality (2.1) was used in [GerardLenzmann] to construct the operator as an infinitesimally form-bounded perturbation of . This also allowed them to identify the form domain of . Here we will prove the stronger result that is a relatively compact perturbation of ; this allows us to also identify the domain and the essential spectrum of . The key input is the following:
Lemma 2.1.
For any and , the operator
(2.2) |
Moreover, if is bounded and equicontinuous, then
(2.3) |
Proof.
Given , we may use (1.18) to see that
for any , and consequently,
(2.4) |
where M denotes the Hardy–Littlewood maximal function.
Choosing in (2.4), we find that
uniformly for . Taking , this shows that the operator admits the norm bound stated in (2.2). By choosing of the form , we also see that the image of the unit ball in under the operator is tight in .
As a second application of (2.4) together with considerations of the support of a convolution, we get
and so the image of the unit ball in under is also tight on the Fourier side.
In conclusion, the image of the unit ball in under the operator is precompact in and so this is a compact operator.
We now turn our attention to property (2.3) of the operator . Each may be decomposed in frequency as . Accordingly,
The first two summands are treated using (2.2):
As is equicontinuous, choosing large makes this small uniformly for all .
Using Bernstein’s inequality, we may bound the last summand as follows:
Irrespective of how is chosen, this can be made small by choosing large.
By employing arguments and complex interpolation, we find
In particular, this norm also converges to zero as , uniformly for . ∎
Proposition 2.2 (Lax operator).
For , the operator
with domain is self-adjoint and . Moreover, the mapping is continuous in the norm resolvent topology.
If is bounded and equicontinuous, then there exists so that
(2.5) |
as quadratic forms, whenever moreover,
(2.6) |
uniformly for , , and .
Proof.
Compactness of the operator (2.2) guarantees that is infinitesimally -bounded. Thus, self-adjointness and semi-boundedness follow from the Kato–Rellich Theorem [Reed1975, §X.2]. Through Weyl’s Theorem, [Reed1978, §XIII.4], compactness of the operator also shows that the essential spectrum agrees with that of .
By (2.3), we may choose so that implies
and also
The former inequality proves (2.5). The latter shows that
which proves the case of (2.6).
Noting that is trivial, (2.6) follows for all by (real or complex) interpolation. Negative values of then follow by duality.
The operator from the Lax pair (1.9) plays a less central role in our analysis than . Our next proposition constructs a unitary transformation built from the associated differential equation (2.7). It will suffice for us to work with smooth solutions and so avoid any functional-analytic subtleties of the type addressed in the preceding proposition.
Proposition 2.3.
Let be a global solution of (CCM). For all and all , the initial value problem
(2.7) |
admits a unique solution; this is global in time. Moreover, for each the mapping is unitary on ,
(2.8) |
If , then so too is for all . Finally, if , , and , then for all .
Proof.
Given , we consider the regularized initial value problem
(2.9) |
This is readily solved locally in time by employing Duhamel’s formula,
(2.10) |
and contraction mapping in .
For any such solution, belongs to and so one may readily verify that the norm is conserved. This in turn yields global well-posedness by iterated contraction mapping.
The conservation law also implies that the flow maps are isometries. Moreover, the uniqueness of solutions (guaranteed by contraction mapping) shows that and are inverses of one another and so both are unitary.
Proceeding by induction, taking spatial derivatives of (2.10) and applying the Gronwall inequality, we find that for each and each ,
(2.11) |
Note that the constant does not depend on .
Let us now compare differing regularizations, beginning with the case . Given , taking the time derivative and integrating by parts to exploit the antisymmetry of the regularization, we obtain
Combining this, (2.11), and Gronwall’s inequality, we deduce that for each ,
This proves that converges in as for any choice of and any .
Unitarity of together with the density of show that this convergence carries over to every and every . Note that the limiting functions satisfy
(2.12) |
and so are solutions to (2.7); moreover, these solutions inherit conservation of and the persistence of regularity estimate (2.11).
Earlier we saw that . Sending , we deduce that is unitary for all .
Suppose (toward a contradiction) that (2.7) admits two solutions and that differ at some time . Evidently, there is a choice of so that . By the analysis presented above, we can find a solution . Integrating by parts (to exhibit the antisymmetry of ), it follows that . This yields a contradiction:
We have now completed the proof of existence, uniqueness, and persistence of regularity for solutions to (2.7), and unitarity of the associated propagator.
We now turn to (2.8). As noted in the introduction, one of the favorable attributes of our choice of is that . The uniqueness of such solutions demonstrated above shows that .
For any , the fact that and form a Lax pair then shows that
constitutes a solution to (2.7) with zero initial data at time . Uniqueness of such solutions combined with unitarity of then proves (2.8).
It remains to discuss weighted estimates. We begin with itself and assume that . Integration by parts shows that
(2.13) |
for any smooth and bounded weight . Observe that the rate of growth is mediated by the size of the derivative of , as well as the assumed bounds on . In this way, using a sequence of bounded approximating weights and a Grownwall argument, we obtain a quantitative bound on the norm of .
The weighted norms of do not follow such a simple evolution as (2.13). Nevertheless, proceeding in the same vein, we verify that
(2.14) |
and then deduce that for all time via Gronwall. ∎
It is not difficult to see that the arguments just presented also prove an analogue of Proposition 2.3 in the case that is merely a local-in-time smooth solution. We do not need such generality because smooth solutions with mass below the equicontinuity threshold are automatically global:
Lemma 2.4.
Let be a solution to (CCM). If is -equicontinuous, then extends -continuously to .
Proof.
We will use conservation of the Hamiltonian to show that is -bounded on . This guarantees -continuous extension by the results of [GerardLenzmann] described in Theorem 1.3. It also provides the base step of their inductive argument yielding control over all higher Sobolev norms.
Given a frequency cutoff parameter , we may combine the Bernstein and Gagliardo–Nirenberg inequalities to see that
uniformly for . As is assumed to be -equicontinuous, given , we may choose so that
(2.15) |
The role of this estimate will be to control the discrepancy between the full Hamiltonians (1.1) and their quadratic part: .
Using -boundedness of , we find that for any ,
Combining this with (2.15) and choosing sufficiently small, we deduce that is bounded in from the conservation of the Hamiltonian. ∎
Schatten-class properties of the resolvent of the Lax operator will play a key role in proving equicontinuity of orbits in the next section. To demonstrate these properties, we will employ the following information about the free resolvent:
Lemma 2.5.
For and ,
(2.16) | ||||
(2.17) |
Proof.
The two operators in (2.16) are adjoints of one another. Their Hilbert–Schmidt norm follows from an explicit computation in Fourier variables:
We turn now to (2.17). A simple frequency analysis shows that on we have the operator identity
where we employ the notation . Thus, using the Hölder inequality for Schatten classes together with [TraceIdeals, Theorem 4.1] and the Bernstein inequality, we may bound
where the last line follows from applying the Schur test to sum in and . ∎
We adopt the following notation for the resolvent of :
(2.18) |
Although does not belong to trace class, the difference does, at least for sufficiently large. This is the topic of the next lemma. More striking is the fact that this trace is conserved under the (CCM) flow; this is the subject of the subsequent Proposition 2.7.
Lemma 2.6.
Given and such that is positive definite,
(2.19) |
all belong to the trace class Moreover, for any bounded and equicontinuous ,
(2.20) |
Proof.
The resolvent identity
(2.21) |
reduces consideration of the first operator in (2.19) to treatment of the other two.
The second operator in (2.19) has the form with and so is positive definite. Together with (2.16), this yields
(2.22) |
Thus our claims about this operator hold for all .
Lemma 2.7 (A conservation law).
Let denote an solution to (CCM) and suppose is such that is positive definite. Then is positive definite for all times and
(2.24) |
Proof.
From (2.8) we see that is positive definite for all and all . Together with Lemma 2.6, this ensures that the trace (2.24) is well defined.
We claim that both and are trace class operators, where is the alternative form of the Lax operator presented in (1.10). As a first step to verifying this, we observe that for any ,
and so by (2.16), this operator is trace class. Combining this with Lemma 2.6, we deduce that is also trace class. This in turn proves that the operator is trace class. The fact that the adjoint of this operator is also trace class settles the analogous question for .
3. Equicontinuity in
In this section we prove -equicontinuity of orbits of solutions to (CCM), both in the focusing and defocusing settings. In the focusing case, we will require that the initial data satisfies (1.6).
Our key quantity for detecting equicontinuity in is
(3.1) |
In view of Lemma 2.7, this quantity is conserved by solutions to (CCM). Moreover, using (2.16) we find that the quadratic term is given by
(3.2) |
By the resolvent identity (2.21), the remainder can be written
(3.3) |
In the defocusing case, it will suffice to exploit the direct connection between and visible in (3.2). In the focusing case, the remainder (3.3) is more troublesome and for this purpose we introduce norms inspired by [MR4628747]: Given an infinite subset , we define
(3.4) |
The connections between , norms, equicontinuity, and can be summarized thus:
Lemma 3.1.
Let be a bounded subset of . The following are equivalent:
-
(1)
is equicontinuous in .
-
(2)
as .
-
(3)
There exists an infinite set so that .
Moreover, if is -equicontinuous, then
(3.5) |
Proof.
To see that (1) and (2) are equivalent, we note that for any ,
(3.6) |
Clearly, (2) implies (3). That (3) implies (1) follows from the observation that
Theorem 3.2 (Defocusing case).
If is bounded and equicontinuous in , then the totality of states reached under the defocusing (CCM) flow is also bounded and equicontinuous in .
Proof.
By Proposition 2.2, we may chose so that is positive definite for all and . Moreover, as noted in Lemma 2.7, this property remains true at all later times and is positive definite. As we are in the defocusing case, (3.3) then shows that . Combining this with the conservation law (2.24), we deduce that
(3.7) |
By (3.5), the right-hand side converges to zero as . Therefore, we conclude that the left-hand side converges to zero as , which in view of Lemma 3.1 yields the equicontinuity of the set .∎
The argument just presented does not adapt to the focusing case because the remainder (3.3) has an unfavorable sign.
Theorem 3.3 (Focusing case).
Proof.
As is equicontinuous in , by Lemma 3.1 we may find an infinite set so that
(3.10) |
To continue, we note that for we have as operators on and so
Thus, cycling the trace we obtain
Observing that and invoking (2.17), we deduce that
uniformly for . Using the conservation of (cf. Lemma 2.7) and (3.10), we conclude that
which in view of Lemma 3.1 establishes the equicontinuity of in the topology. ∎
4. Explicit formula
The climax of this section is a proof of the explicit formula (1.12) in a restricted case:
Theorem 4.1.
Ultimately, we will prove Theorem 1.7, which covers all solutions by taking a limit of smooth solutions. As a foundation for this, we will work to understand the basic objects of the explicit formula in the full generality of , rather than just the case treated in Theorem 4.1.
We begin with a few necessary preliminaries. Our first lemma represents the key outgrowth of the fact that . As the constant function does not belong to the natural domain of , we use the sequence of approximations which converge to unity (uniformly on compact sets) as .
Lemma 4.2.
Proof.
As noted above, as , uniformly on compact sets. Correspondingly, one may view as an approximation for the total integral of . Building on this idea, we now define the unbounded linear functional appearing in the (4.1). As we will see from the equivalent representations in (4.5), this is closer to twice the integral of .
Definition 4.3.
The (unbounded) linear functional is defined by
(4.4) |
with domain given by the set of those for which the limit exits.
By computing the Fourier transform of and by noting that is equal to times the Poisson kernel, we find the following equivalent definitions of :
(4.5) |
and that is comprised of those for which these limits exist.
Let us now describe the operator appearing in (4.1). If we were working in , then defines a unitary group, the generator of which is multiplication by . (The factor appearing here is the usual convention from quantum mechanics.) However, we are working in the Hardy space and for , multiplication by does not preserve this space. The natural analogue on the Hardy space is
(4.6) |
and we define the operator as the generator of this semigroup:
The semigroup (4.6) is clearly a (strongly continuous) contraction semigroup. The famous Hille–Yoshida Theorem identifies the generators of such semigroups; see [EN, Reed1975]. Unfortunately, the nomenclature for these generators is not fully settled: they may be accretive or dissipative, there is a sign ambiguity, as well as the choice of whether or not to include the imaginary unit . Evidently, one should select the convention that best describes the operators one is working with and for this reason, we adopt the following:
Convention 4.4.
An operator on a Hilbert space will be called accretive if
(4.7) |
It is further maximally accretive if it admits no proper accretive extension.
In this way, is accretive in our sense if and only if is accretive in the sense of [Reed1975] if and only if is dissipative in the sense of [EN]. Moreover, the Hille–Yoshida Theorem then says that an operator is maximally accretive if and only if defines a contraction semigroup. In particular, the operator introduced above is maximally accretive.
The spectrum of constitutes the closed lower half-plane. For , the resolvent is given by
(4.8) |
where is defined by (1.14). Together with the functional , this gives rise to the following formulation of the Cauchy integral formula:
(4.9) |
valid for all and .
The commutator of and the operator will be important for deriving the explicit formula (4.1). As a stepping stone, we record the commutator of with a generic Toeplitz operator . This may be obtained from straightforward computations in Fourier variables. It also arises naturally in the setting of the Benjamin–Ono equation, see [Sun2021]*Lem. 3.1.
Lemma 4.5.
If and , then and
(4.10) |
We are now ready to compute the commutator of with :
Lemma 4.6.
If and , then
(4.11) |
Proof.
For with , we use Lemma 4.5 to compute
As derivatives vanish at zero frequency, we recognize that the right-hand side above is equal to . ∎
We now turn our attention to the operator , whose resolvent lies at the center of the explicit formula. We begin with the case .
As a a preliminary notion of , we observe that
(4.12) | ||||
While it is evident that with this domain is accretive, it is not maximally accretive. This can be remedied by taking the closure:
Lemma 4.7.
The closure of the naive sum (4.12) is given by
(4.13) |
with domain
(4.14) |
The operator is maximally accretive, generating the contraction semigroup
(4.15) |
and is unitarily conjugated to by the free Schrödinger flow:
(4.16) |
Proof.
It is perhaps easiest to work backwards. One first observes that (4.15) defines a strongly continuous semigroup of contractions and then that the generator is the operator defined by (4.13) and (4.14) and satisfies (4.16).
As the last step, we check that this generator is indeed the closure of when defined on . As maximally accretive operators are closed, this amounts to the elementary task of verifying that our operator is contained in the closure of the naive sum. ∎
With the proper meaning of now set, we may turn our attention to its resolvent:
Proposition 4.8.
For and ,
(4.17) |
For any , we have
(4.18) | ||||
(4.19) |
The range of lies in the domain of ,
(4.20) |
and the composition is bounded:
(4.21) |
Proof.
The existence of the inverse (4.17) for and the associated norm bound are basic consequences of the fact that is maximally accretive.
From (4.16) we see that
(4.22) |
For , the free Schrödinger propagator is given by the explicit formula
(4.23) |
where we use the principal branch of the square root, so that the argument of is . From this, one easily derives the standard dispersive estimates
(4.24) |
Combining this with (1.15), we deduce
(4.25) |
for all and .
We now turn to (4.18). Using that and the Van der Corput Lemma in the form given in [bigStein, Corollary VIII.1.2], we may estimate
(4.26) |
Employing (4.22), (4.25), and (4.8), we may thus bound
This completes our discussion of . We turn now to the more difficult question of realizing as a maximally accretive operator.
If , then is an -bounded self-adjoint operator. Under this hypothesis, is naturally defined on (4.14) and is maximally accretive; see, for example, [EN, §III.1]. In this way, we may define
(4.27) |
whenever .
For general , the construction of this operator is not so simple. Indeed, we find ourselves unable to apply the textbook theorems for perturbations of accretive operators, such as the analogue of the Kato–Rellich Theorem. Rather, we will build the operator as a limit of operators with bounded potentials in concert with the abstract theory developed by Trotter [Trotter] and Kato [Kato]. Our first step in this direction is the following lemma, which we will also need for the proof of Proposition 5.1:
Lemma 4.9.
Fix and let be bounded and equicontinuous. For every there exists so that implies both
(4.28) |
uniformly for and .
Proof.
We begin with the first claim in (4.28), decomposing and similarly , for a frequency cutoff that will be chosen shortly. In this way, (4.19) yields
(4.29) | ||||
As is bounded and equicontinuous, we may choose large to ensure that LHS(4) is bounded by .
For the remaining low-low frequency contribution, we use Bernstein’s inequality to estimate
As is bounded and is finite, we may choose sufficiently large so as to render this contribution smaller that .
We are now prepared to construct the operator for , as well as its resolvent. Further mapping properties of the resolvent will be elaborated in Proposition 4.11.
Proposition 4.10.
Fix . For any , , and any sequence converging to in -sense, the operators
(4.30) |
converge in norm to an operator that satisfies
(4.31) |
Moreover, is the resolvent of a maximally accretive operator, which we denote . Thus
(4.32) |
for any , , and any .
Proof.
To treat the sequence and its limit in a parallel fashion, it is convenient to set . Convergence of the sequence guarantees that is precompact and so bounded and equicontinuous. By Lemma 4.9, we may choose so that
(4.33) |
We particularly single out the value corresponding to , for which we write .
For and any , the estimate (4.33) guarantees convergence of the resolvent series
(4.34) |
Note also that by (4.18), we have
(4.35) |
It follows from the preceding discussion that for we may define a bounded operator by setting in (4.34) and, by a simple telescoping argument, we see that
(4.36) |
for all and .
As the resolvents converge at one point , they must converge at all points in . However, it is not true in general that the limit of resolvents of accretive operators is the resolvent of an accretive operator. Rather it is merely a pseudo-resolvent; see [Kato]. The kernel and range of a pseudo-resolvent are independent of the spectral parameter; however, it is only for a true resolvent that the kernel is trivial and the range is dense.
To verify that is a true resolvent, we will show that
(4.37) |
This is always true for the resolvent of a maximally accretive operator (as one may see by integrating the semigroup); in particular,
(4.38) |
We may now invoke the abstract Trotter–Kato theory; see [EN]. The resolvents of the maximally accretive operators converge for all with . Moreover, (4.37) ensures that the limit is injective with dense range. It then follows that is the resolvent of a densely defined operator. By (4.36), the operator is maximally accretive.
Finally, we verify (4.31), which illustrates the strong connection between the maximally accretive operator just constructed and the naive notion of the sum defined on . By definition of the resolvent, (4.31) holds if we replace by the bounded approximations . To send , we first note that arguing as in the proof of Proposition 2.2 we have
and consequently,
This converges to zero as , completing the proof of (4.31). ∎
Proposition 4.11.
Given a bounded and equicontinuous set , the operators
(4.39) |
introduced in Proposition 4.10 satisfy
(4.40) | |||
(4.41) |
uniformly for , , and . Likewise, for any ,
(4.42) |
Proof.
In view of Lemma 4.9, one may choose so that
(4.43) |
In this regime, is given by the series expansion (4.34) and correspondingly,
Similarly, we obtain
and
The claims (4.40) and (4.41) then follow from (4.18) and (4.19), albeit only for .
As the resolvent of a maximally accretive operator,
(4.44) |
We end this section by proving the explicit formula for solutions whose initial data satisfy .
Proof of Theorem 4.1.
Let be an solution to (CCM) with initial data satisfying . A simple Gronwall argument guarantees that this decay property is preserved by the (CCM) evolution; see the discussion surrounding (2.13).
Let denote the unitary flow maps discussed in Proposition 2.3. Given satisfying , consider
(4.46) |
The smoothness and decay hypotheses on and the fact that preserves these properties ensure that is well defined. In particular, one may verify that . In fact, using (4.11) and (2.8), the time derivative of simplifies dramatically:
By the uniqueness of solutions proved in Proposition 2.3, we deduce . By the density of allowable , we then deduce that and from there, that
(4.47) |
5. Well-posedness in
In this section we will demonstrate global well-posedness of (CCM) in . For each initial data , we will construct the solution as a limit of solutions with smooth and well decaying initial data . Our concrete hypotheses will be these:
(5.1) |
Recall that denotes the equicontinuity threshold introduced in Definition 1.5. In Section 3, we showed that in the defocusing case and that in the focusing case.
Proposition 5.1.
Proof.
In view of Theorem 4.1, each can be expressed through the explicit formula. Thus, our task is so show that
(5.3) |
for fixed and . To this end, we set and adopt the abbreviations and .
The set is precompact in and so bounded and equicontinuous. By Lemma 4.9, we may choose sufficiently large so that for we have
Combining this with (4.18) and (4.19), we may then estimate
with the implicit constant independent of . The role of this estimate is to allow us to expand both resolvents and in the manner of (4.34). Proceeding in this way and using (4.21), we find that
(5.4) | ||||
for any and any .
It remains to prove convergence for general . The restriction was needed for our treatment of the first term in RHS(5.5). To overcome this, we employ (4.44) to expand
in which we choose . The contribution of the first two terms is easily handled using (5) and (4.32). For the third term, we use (4.42) in concert with Proposition 4.10, which showed that in operator norm. ∎
By the conservation of mass and the Banach–Alaoglu Theorem, the solutions converge subsequentially weakly in for each . The previous proposition allows us to uniquely identify this limit.
Corollary 5.2.
Proof.
Fix , and consider an arbitrary subsequence of . By conservation of mass, we know that
Therefore, by Banach–Alaoglu we may pass to a further subsequence along which
(5.7) |
for some function in the Hardy space . In particular is holomorphic in the upper half-plane.
As noted in (1.15), evaluation at any point with is a bounded linear functional on . Correspondingly, pointwise. In this way, Proposition 5.1 implies for all . This shows that is holomorphic and lies in .
Moreover, shows that the subsequential limit does not depend on the subsequence chosen. Thus, we conclude that along the whole sequence. ∎
With little additional effort, Corollary 5.2 can be used to guarantee the existence of weak/distributional solutions to (CCM). To obtain well-posedness, however, we need to prove convergence in a stronger topology, one that guarantees that the limit depends continuously on both time and the initial data. To this end, we seek to upgrade the weak convergence of to to strong convergence in for all .
Theorem 5.3.
By Corollary 5.2 and the Arzelà–Ascoli Theorem, to prove Theorem 5.3 it suffices to show that the subset of is equicontinuous in both the time and space variables and tight in the space variable. Recall that equicontinuity in the spatial variable was demonstrated in Section 3.
Our next result proves equicontinuity in the time variable.
Lemma 5.4 (Equicontinuity in time).
Proof.
Throughout the proof, all spacetime norms will be over the slab .
For to be chosen later and , we may estimate
(5.9) |
As the set is equicontinuous in the spatial variable (see Section 3), for any we may choose large enough so that
(5.10) |
Using the equation (CCM), the Bernstein inequality, and the conservation of mass, we may bound
Applying (1.16) and recalling the embedding , we may bound the contribution of the nonlinearity as follows:
Thus,
uniformly for . Choosing sufficiently small, we may ensure that
Combining this with (5.9) and (5.10) and recalling that was arbitrary, completes the proof of the lemma. ∎
It remains to prove tightness in the spatial variable. This will be accomplished in two distinct steps. First, we will show that for any , the functions are tight in ; this is proved in Proposition 5.5 below. In the second step, we will upgrade this statement to tightness on the real line (); this is realized in Proposition 5.6.
Proposition 5.5.
Proof.
By Theorem 4.1, the functions admit the representation (4.1) for any with . Together with the resolvent identity, this leads to
We will analyze the two summands above using the identity (4.20). To begin, we write
(5.11) |
Let . As is precompact in and the free Schrödinger propagator is continuous on , the set of functions
is also precompact in .
For and , we may use the Poisson integral formula
(5.12) |
and Cauchy–Schwarz to estimate
for any . As is precompact in , we may pick large and then to make the right-hand side above arbitrarily small. In view of (5.11), this demonstrates that the set
is tight in .
It remains to show that the functions
with and form a set that is tight in .
We first observe that the set
is bounded and tight in . Indeed, using (4.40) we may bound
uniformly for , , , and .
In view of the estimate
we deduce that the set
is bounded in , and so it is bounded and equicontinuous in . The set is also tight in . To see this, we may use the Poisson integral formula (5.12) and Minkowski’s inequality to estimate
for any . As is bounded and tight in , we may pick large and then to make the right-hand side above arbitrarily small.
Thus is precompact in . As the free Schrödinger propagator is continuous on , we conclude that the set
is precompact in and so tight in . This completes the proof of the proposition. ∎
Proposition 5.6 (Tightness in space).
Proof.
For a frequency cutoff to be chosen later, we decompose . Let be a smooth cutoff function equal to on and to on . For , we define . We may then bound
The hypotheses (5.1) guarantee -equicontinuity of the solutions . Therefore, we can choose sufficiently large to render arbitrarily small.
To demonstrate tightness of the low frequencies, for fixed we write
where the convolution kernel is the Schwartz function
and denotes the cutoff function used to define the Littlewood–Paley projections. Integrating by parts twice yields the easy bound
Using this and the observation that , which follows from support considerations, we may estimate
By Proposition 5.5, the functions form an -tight set for and . Therefore, we may choose sufficiently large to make the right-hand side above arbitrarily small, which demonstrates that is tight in , as desired. ∎
We are now ready to prove well-posedness of (CCM) in for data satisfying , with denoting the equicontinuity threshold introduced in Definition 1.5. This will complete the proof of both Theorem 1.1 and Theorem 1.6.
Proof of well-posedness in .
We will show that the data-to-solution map for (CCM) extends uniquely from to a jointly continuous map .
Given initial data with , let be a sequence satisfying (5.1). Applying Theorem 5.3 to the sequence , we see that the corresponding solutions to (CCM) converge in and the limit is independent of the sequence . Consequently,
is well-defined.
Finally, we prove the explicit formula for general initial data:
Proof of Theorem 1.7.
From Theorem 4.1, we know that the explicit formula holds for initial data that is smooth and well-decaying. With this in mind, we choose a sequence of such initial data that converges to in -sense and satisfies . Now we simply need to show convergence of both sides of (4.1). In the case of the left-hand side, this is immediate from the well-posedness just proved and (1.15).
6. Well-posedness in
The goal of this section is to prove
Theorem 6.1 (Global well-posedness in ).
In view of the global well-posedness result demonstrated in the preceding section, it will suffice to prove that (CCM) solutions satisfy a priori bounds, and that the orbits of -bounded and equicontinuous sets of initial data form an -equicontinuous set. These two claims will be taken up in Proposition 6.5. The proof of this proposition is based on a novel argument, in which the following family of functions play a central role:
Definition 6.2.
Fix . For each , we define the function
(6.1) |
The particular structure of these functions is dictated by our use of Loewner’s Theorem on operator monotone functions. Concretely, for any positive definite operators , it follows that .
If one chooses , then (6.1) can be evaluated exactly: . It is to ensure this identity that we have included the prefactor in (6.1). Clearly is a decreasing function of ; thus for all and all .
For , we know of no explicit formula for ; however, it is not difficult to describe the order of magnitude of this function:
(6.2) |
uniformly in . The overall shape described by (6.2) also plays an important role in the selection of the function , through the following expression of equicontinuity:
Lemma 6.3.
A bounded subset is -equicontinuous if and only if
(6.3) |
for any single .
Proof.
The use of in this lemma, makes for an easy connection to -equicontinuity; however, it is the Lax operator associated to the solution itself that enjoys a close connection with the (CCM) flows. Our next result bridges this divide.
Lemma 6.4.
Fix . Suppose is bounded and equicontinuous in . Then there exists so that
(6.4) |
uniformly for , , and .
Proof.
Using (2.3), we may choose so that
(6.5) |
Using elementary manipulations and (6.5), we find that
for all and any . Equivalently,
As the functions are operator monotone, we deduce that
From the overall shape of described in (6.2), it then follows that
(6.6) |
for some (small) number depending only on . The claim (6.4) is a direct consequence of this. ∎
Proposition 6.5.
Fix . Assume is bounded and equicontinuous in . Then
(6.7) |
is also bounded and equicontinuous in .
Proof.
As the set is bounded in , it is bounded and equicontinuous in . By the results of Section 3, the set of orbits is bounded and equicontinuous in . Thus, Lemma 6.4 may be applied to ; we define accordingly.
We are now ready to finish the proof of well-posedness in . Based on the tools we have developed, it is most convenient to construct the data-to-solution map by extension from the class of smooth solutions. As the extension will be shown to be continuous, it coincides with the restriction to of the map constructed in the previous section for initial data in .
Proof of Theorem 6.1.
Suppose and . Let be a sequence of solutions with in -sense. Our sole obligation is to show that converges in for every finite . If such convergence did not hold, there would be a convergent sequence so that did not converge in . We will refute this.
From the results of the previous section, we know that converges in . Moreover, Proposition 6.5 shows that the sequence is both uniformly bounded and equicontinuous in . Thus, does indeed converge in . ∎