Finite Gap Conditions and Small Dispersion Asymptotics for the Classical Periodic Benjamin-Ono Equation
Alexander Moll

TL;DR
This paper characterizes the Nazarov-Sklyanin hierarchy for the periodic Benjamin-Ono equation, linking it to spectral theory, and analyzes the small dispersion limit revealing a concentration on a convex profile related to conserved quantities.
Contribution
It introduces a dispersive action profile framework using spectral shift functions and characterizes multi-phase solutions and small dispersion limits for the Benjamin-Ono equation.
Findings
Dispersive action profiles have finitely-many gaps for multi-phase data.
In the small dispersion limit, profiles concentrate on a convex shape encoding conserved quantities.
Identifies specific profiles for sinusoidal initial data and their limits.
Abstract
In this paper we characterize the Nazarov-Sklyanin hierarchy for the classical periodic Benjamin-Ono equation in two complementary degenerations: for the multi-phase initial data (the periodic multi-solitons) at fixed dispersion and for bounded initial data in the limit of small dispersion. First, we express this hierarchy in terms of a piecewise-linear function of an auxiliary real variable which we call a dispersive action profile and whose regions of slope we call gaps and bands, respectively. Our expression uses Kerov's theory of profiles and Kre\u{\i}n's spectral shift functions. Next, for multi-phase initial data, we identify Baker-Akhiezer functions in Dobrokhotov-Krichever and Nazarov-Sklyanin and prove that multi-phase dispersive action profiles have finitely-many gaps determined by the singularities of their Dobrokhotov-Krichever spectral curves. Finally, for bounded…
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Finite Gap Conditions and Small Dispersion Asymptotics
for the Classical Periodic Benjamin-Ono Equation
Alexander Moll
Department of Mathematics
Northeastern University
550 Nightingale
Boston, MA USA
Abstract.
In this paper we characterize the Nazarov-Sklyanin hierarchy for the classical periodic Benjamin-Ono equation in two complementary degenerations: for the multi-phase initial data (the periodic multi-solitons) at fixed dispersion and for bounded initial data in the limit of small dispersion. First, we express this hierarchy in terms of a piecewise-linear function of an auxiliary real variable which we call a dispersive action profile and whose regions of slope we call gaps and bands, respectively. Our expression uses Kerov’s theory of profiles and Kreĭn’s spectral shift functions. Next, for multi-phase initial data, we identify Baker-Akhiezer functions in Dobrokhotov-Krichever and Nazarov-Sklyanin and prove that multi-phase dispersive action profiles have finitely-many gaps determined by the singularities of their Dobrokhotov-Krichever spectral curves. Finally, for bounded initial data independent of the coefficient of dispersion, we show that in the small dispersion limit, the dispersive action profile concentrates weakly on a convex profile which encodes the conserved quantities of the dispersionless equation. To establish the weak limit, we reformulate Szegő’s first theorem for Toeplitz operators using spectral shift functions. To illustrate our results, we identify the dispersive action profile of sinusoidal initial data with a profile found by Nekrasov-Pestun-Shatashvili and its small dispersion limit with the convex profile found by Vershik-Kerov and Logan-Shepp.
Contents
- 1 Introduction and Statement of Results
- 2 Kreĭn Spectral Shift Functions in Kerov’s Theory of Profiles
- 3 Lax Spectral Shift Functions and Dispersive Action Profiles
- 4 Finite Gap Conditions for Dispersive Action Profiles
- 5 Toeplitz Spectral Shift Functions and Convex Action Profiles
- 6 Small Dispersion Limits of Dispersive Action Profiles
- 7 Illustration of Results for Sinusoidal Initial Data
- 8 Discussion of Results and Classical Dispersive Shock Waves
- 9 Comments on Results and Comparison with Previous Results
1. Introduction and Statement of Results
For , , the classical Benjamin-Ono equation [5, 14, 64] is
[TABLE]
a non-linear, non-local integro-differential equation with dispersion coefficient defined by the spatial Hilbert transform with and . Global well-posedness of (1.1) is established for rapidly-decaying initial data by Ionescu-Kenig [29] and for periodic initial data by Molinet [53]. We discuss the notation in §[9.2] and write for solutions of (1.1). For a comprehensive survey of research on (1.1) see Saut [68].
In this paper we study an explicit family of infinitely-many conserved quantities for the classical Benjamin-Ono equation (1.1) with periodic initial data found by Nazarov-Sklyanin [57]. In §[1.1] we recall the classical Nazarov-Sklyanin hierarchy from [57]. In §[1.2] we present an alternative expression for the classical Nazarov-Sklyanin hierarchy through what we call dispersive action profiles using Kerov’s theory of profiles [33]. In §[1.3] we state our first result in Theorem [1.3.3]: a characterization of dispersive action profiles for the -dependent multi-phase solutions (the periodic multi-solitons). In §[1.4] we state our second result in Theorem [1.4.3]: a characterization of the small dispersion asymptotics of dispersive action profiles for arbitrary bounded -independent . We provide an outline of the paper in §[1.5] and give comments on previous results in §[9].
1.1. Classical Nazarov-Sklyanin Hierarchy: All Baker-Akhiezer Averages are Conserved
We now define the classical Benjamin-Ono Lax operator and the Nazarov-Sklyanin hierarchy [57].
Definition 1.1.1**.**
For and , the -Hardy space on is the Hilbert space closure of \mathbb{C}[{\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}w}] in {\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}H=}L^{2}(\mathbb{T}). Equivalently, with the Szegő projection
[TABLE]
the periodic -Hardy space is the image of applied to .
Definition 1.1.2**.**
For and bounded real -periodic in with Fourier coefficients V_{k}={\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\int_{0}^{2\pi}}e^{\textnormal{{i}}kx}v(x)\frac{dx}{2\pi}, the classical Lax operator for the Benjamin-Ono equation (1.1) is the unique self-adjoint extension to Hardy space of the essentially self-adjoint operator
[TABLE]
presented in the basis |h\rangle={\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}w^{h}} for of \mathbb{C}[{\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}w}]. Equivalently, the Lax operator
[TABLE]
is the generalized Toeplitz operator of order , where is the operator of multiplication by , is the Toeplitz operator of symbol , and acts by .
For background on Toeplitz operators, see Deift-Its-Krasovsky [16]. The classical Lax operator is essentially self-adjoint on \mathbb{C}[{\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}w}] since it is a bounded perturbation of D_{\bullet}=\uppi_{\bullet}({\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}w\partial_{w}})\uppi_{\bullet} by the Toeplitz operator of bounded symbol . The next two notions are from [57].
Definition 1.1.3**.**
For and , the classical Baker-Akhiezer function
[TABLE]
is the image of in under the resolvent of the classical Lax operator (1.4).
Definition 1.1.4**.**
The classical Nazarov-Sklyanin hierarchy is the set of classical observables
[TABLE]
indexed by and defined as the circle averages of the Baker-Akhiezer function (1.5).
Theorem 1.1.5**.**
[Nazarov-Sklyanin [57]]* For any , any bounded real , and any ,*
[TABLE]
the circle averages (1.6) are all conserved if evolves by the Benjamin-Ono equation (1.1).
As we discuss in §[9.3], Theorem [1.1.5] was independently discovered by Gérard-Kappeler [27]. For verification that the quantum Baker-Akhiezer function, quantum hierarchy, and Theorem 2 in Nazarov-Sklyanin [57] reduce to the classical objects (1.5), (1.6), and Theorem [1.1.5] presented here in the semi-classical limit , see §4 and §8 in [55].
1.2. Classical Nazarov-Sklyanin Hierarchy: Expression through Dispersive Action Profiles
In this paper we characterize the conserved quantities (1.6) in the small dispersion limit and for the known multi-phase solutions of (1.1). To do so, we first establish the following result for (1.6).
Proposition 1.2.1**.**
For and bounded real , there is some so that the classical Nazarov-Sklyanin hierarchy (1.6) of Baker-Akhiezer averages
[TABLE]
is meromorphic in with simple interlacing real zeroes and poles
[TABLE]
with no accumulation point except and so that
[TABLE]
We prove Proposition [1.2.1] in §[3] as an application of general results from Kerov’s theory of profiles [33] and Kreĭn’s theory of spectral shift functions which we review in §[2]. To make contact with Kerov’s theory of profiles, we use (1.8) to express (1.6) in terms of a profile .
Definition 1.2.2**.**
For and bounded real , the dispersive action profile is the piecewise-linear function of with almost everywhere, strictly interlacing local minima and local maxima in (1.9), and as for . For such , the classical Nazarov-Sklyanin hierarchy (1.6) is
[TABLE]
Definition 1.2.3**.**
The bands of dispersive action profiles are where .
Definition 1.2.4**.**
The gaps of dispersive action profiles are where .
In [55] we identify gaps in dispersive action profiles with actions in a symplectic phase space of (1.1). For details, see §[9.3]. Note in Proposition [1.2.1] is the number of non-empty gaps.
1.3. Statement of First Result: Dispersive Action Profiles of Multi-Phase Data are Finite Gap
Satsuma-Ishimori [67] discovered that the classical Benjamin-Ono equation (1.1) has multi-phase solutions, the periodic analogs of the multi-soliton solutions of (1.1) found by Matsuno [41]. Dobrokhotov-Krichever [18] gave the following formula for the multi-phase solutions from [67].
Definition 1.3.1**.**
For with real parameters ordered as
[TABLE]
and phases denoted , the multi-phase (-phase) solutions of (1.1) are
[TABLE]
where is the matrix with entries for defined by
[TABLE]
[TABLE]
For , (1.13) is the 1-phase periodic traveling wave found by Benjamin [5] and Ono [64]:
[TABLE]
In Dobrokhotov-Krichever [18], parameters (1.12) appear as singularities of rational spectral curves. We now encode these singularities in a profile a priori unrelated to the dispersive action profile and state our first result: the classical multi-phase solutions are finite gap.
Definition 1.3.2**.**
For any satisfying (1.12), the Dobrokhotov-Krichever profile is the piecewise-linear function of with almost everywhere, interlacing local minima and local maxima , and as for .
Theorem 1.3.3**.**
For , in (1.12), and so in (1.13) is -periodic in ,
[TABLE]
the multi-phase dispersive action profile coincides with the Dobrokhotov-Krichever profile and thus have finitely-many non-empty gaps. Equivalently, the quantities in Proposition [1.2.1] specialize to
[TABLE]
We prove Theorem [1.3.3] in §[4] by identifying the classical Baker-Akhiezer function (1.5) of Nazarov-Sklyanin [57] with the classical Baker-Akhiezer function in Dobrokhotov-Krichever [18]. As a companion to our Theorem [1.3.3], we also prove in §[4] that the dispersive action profiles of reflected multi-phase solutions are not finite gap:
Proposition 1.3.4**.**
For any , in (1.12), , unlike (1.18), .
In §[9.4], we discuss the agreement of these results with subsequent work of Gérard-Kappeler [27].
1.4. Statement of Second Result: Dispersive Action Profiles at Small Dispersion are Convex
Our second result is that the small dispersion limit of conserved quantities (1.6) for (1.1) of Nazarov-Sklyanin [57] are conserved for the classical dispersionless Benjamin-Ono equation
[TABLE]
at . While solutions to (1.21) with differentiable periodic initial data do not remain continuous for all time , for small the method of characteristics implies that for any
[TABLE]
the measure of is conserved. We now state this fact using profiles.
Definition 1.4.1**.**
For any bounded -periodic in , the convex action profile is the convex function of characterized by for in (1.22) and as where .
Proposition 1.4.2**.**
For , differentiable -periodic initial data , and small , the -value of the convex action profile is conserved if solves (1.21).
We review Proposition [1.4.2] in §[6.2]. In terms of the convex action profile , we show:
Theorem 1.4.3**.**
For and any real, -periodic in , bounded, and independent of , the dispersive action profile for (1.6) converges weakly to the convex action profile in the small dispersion limit in the following sense: for any fixed, as we have
[TABLE]
We prove Theorem [1.4.3] in §[6]. Theorem [1.4.3] gives small dispersion asymptotics of dispersive action profiles, not of solutions to (1.1). The key ingredient in our proof is a non-local interpretation of the local conservation laws (1.22) from the method of characteristics which we achieve by reformulating Szegő’s First Theorem for Toeplitz operators using spectral shift functions in §[5]. Note: the assumptions in Theorem [1.4.3] exclude the -dependent multi-phase solutions (1.13), which by Theorem [1.3.3] have dispersive action profiles independent of and non-convex.
1.5. Outline
In §[2] we review Kerov’s theory of profiles [33] and Kreĭn’s theory of spectral shift functions [35] so as to prove Proposition [2.5.5], a relationship between profiles and spectral shift functions of a certain class of unbounded self-adjoint operators which extends a result of Kerov [33]. Using Proposition [2.5.5], in §[3] we prove Proposition [1.2.1] and derive our expression (1.11) for the classical Nazarov-Sklyanin hierarchy (1.6) in terms of dispersive action profiles. In §4 we prove Theorem [1.3.3] – that the classical multi-phase solutions (1.13) of (1.1) have dispersive action profiles with finitely-many non-empty gaps – and also Proposition [1.3.4] – that after reflection , multi-phase solutions are no longer finite gap. In §[5] we give a non-local characterization of the convex action profile for bounded from Definition [1.4.1] using Szegő’s First Theorem for Toeplitz operators. In §[6], we prove Theorem [1.4.3], that for bounded real , in the small dispersion limit the dispersive action profiles converge to the convex action profiles. In §[7], to illustrate our results, we identify the dispersive action profile for sinusoidal initial data
[TABLE]
with a profile in Nekrasov-Pestun-Shatashvili [61] and identify its convex small dispersion limit with the profile in Vershik-Kerov [34] and Logan-Shepp [39]. In §[8], we discuss our results in the larger context of the Whitham modulation theory for classical dispersive shock waves solutions to (1.1). In §[9] we give comments on our results and compare them to previous results.
2. Kreĭn Spectral Shift Functions in Kerov’s Theory of Profiles
In this section, we review Kerov’s theory of profiles [33] in order to prove in Proposition [2.5.5] that certain Kreĭn spectral shift functions [35] define profiles, extending a result of Kerov [33].
2.1. Profiles: Interlacing Measures and Shifted Rayleigh Functions
We follow Kerov [33].
Definition 2.1.1**.**
A profile is a function of which is -Lipshitz
[TABLE]
and whose derivatives as so that
[TABLE]
Let denote the space of all profiles.
Definition 2.1.2**.**
The Rayleigh function of a profile is defined by
[TABLE]
Definition 2.1.3**.**
Rayleigh functions of bounded variation define Rayleigh measures .
Definition 2.1.4**.**
Non-negative measures on are interlacing measures if their difference is a Rayleigh measure of some profile . In this case, write .
Definition 2.1.5**.**
A profile is of compact support if exists and has compact support.
The points of inflection of separate regions of convexity and concavity, which correspond to increasing or decreasing regions of the Rayleigh function , hence to our notation for interlacing measures. For all profiles, we consider their behavior relative to the profile :
Definition 2.1.6**.**
The shifted Rayleigh function of a profile is the difference
[TABLE]
between its Rayleigh function and the Rayleigh function of .
Note that one can recover from by .
2.2. Profiles: Convex Profiles and Profiles of Interlacing Sequences
Kerov’s profiles interpolate between convex profiles - such as the convex action profile in Definition [1.4.1] - and the profiles of interlacing sequences - such as the dispersive action profile in Definition [1.2.2].
Definition 2.2.1**.**
A convex profile is a profile of bounded variation with , i.e. whose Rayleigh measure is an arbitrary probability measure .
Definition 2.2.2**.**
A profile of interlacing sequences is any profile with Rayleigh measure
[TABLE]
where and , strictly interlace
[TABLE]
Dobrokhotov-Krichever profiles of Definition [1.3.2] are profiles of interlacing sequences (1.12).
Whereas regions of concavity and convexity of a generic profile may be of full Lebesgue measure, for profiles of interlacing sequences the regions of convexity and concavity are localized at the local minima and maxima of the piecewise-linear profile . Most importantly, every defines that is both convex and also the profile of the interlacing sequences with interlacing local extrema for . In fact, is both the convex and dispersive action profile for the constant phase solution of (1.1) with .
2.3. Profiles: Transition Measures and Kerov’s Markov-Kreĭn Correspondence
The decay conditions in Definition [2.1.1] of profiles were chosen carefully by Kerov in [33] to formulate his Markov-Kreĭn correspondence, a bijection between profiles and probability measures on .
Definition 2.3.1**.**
For , the -observable of a profile is defined in terms of its shifted Rayleigh function from Definition [2.1.6] for by
[TABLE]
Proposition 2.3.2**.**
If a profile is of bounded variation, integration by parts implies that its -observable can be written through its Rayleigh measure for by
[TABLE]
Definition 2.3.3**.**
Let denote the space of probability measures on .
Theorem 2.3.4**.**
(Kerov’s Markov-Kreĭn Correspondence [33])* The -observable defined for any profile and any by (2.7) is also the Stieltjes transform*
[TABLE]
of a unique probability measure called the transition measure of . Moreover, the formula (2.9) defining is a bijection between profiles and probability measures on .
Our notation in emphasizes a relationship between the transition measure and the in the Jordan decomposition of the Rayleigh measure . For example, if is the profile of an interlacing sequence for some , equation (2.9) becomes
[TABLE]
The partial fraction decomposition of (2.10) shows that the transition measure is non-negative and supported on the support of . For general profiles, Theorem [2.3.4] implies an important relationship between the moments and supports of and .
Corollary 2.3.5**.**
[Kerov [33] §2.3]* In the Markov-Kreĭn correspondence (2.9), the support of the Jordan component of the Rayleigh measure and the transition measure coincide, and the -observable has a expansion*
[TABLE]
where and , so is a universal polynomial independent of in for . Moreover, * if is bounded variation.*
2.4. Jacobi Operators: Embedded Principal Minors and Titchmarsh-Weyl Functions
We now gather basic notions of Jacobi operators whose spectral theory we discuss in the next subsection.
Definition 2.4.1**.**
Given a pair of possibly unbounded self-adjoint operators on a Hilbert space with trace class, the perturbation determinant of with respect to
[TABLE]
is well-defined by the Fredholm determinant for any .
The left side of (2.12) is a well-defined ratio of Fredholm determinants in the case that both and are trace class, and under these assumptions can be shown to be equal to the right side of (2.12). For the much more general case of arbitrary self-adjoint , with trace class, we regard the left side of (2.12) as notation for the right side of (2.12) which is well-defined for such .
We now turn to a particular rank perturbation of a generic .
Definition 2.4.2**.**
For , let and consider the decomposition with orthogonal projections , . The principal -minor of
[TABLE]
acts in while the embedded principal -minor acts in by
[TABLE]
The distinction between the principal minor and the embedded principal minor is crucial for us in this paper, as the perturbation determinant (2.12) is only well-defined for a pair of operators defined on the same space such as and but not and . The next result is well-known in the spectral theory of orthogonal polynomials on the real line [70].
Theorem 2.4.3**.**
If is cyclic for and the restriction of to its dense orbit is essentially self-adjoint, then the -matrix element of the resolvent is the multiple of
[TABLE]
the perturbation determinant of the embedded principal minor with respect to in .
Theorem [2.4.3] follows from truncating , writing the result as a tri-diagonal Jacobi matrix, and using Cramer’s rule. To apply Theorem [2.4.3] in practice, one must check that the restriction of the operator to the -orbit of is essentially self-adjoint. A large class of such are the bounded self-adjoint operators. As one sees in the proof of Theorem [2.4.3], the Galerkin approximation to is a Jacobi matrix in a particular basis, so may be viewed as a one-sided Jacobi operator.
Definition 2.4.4**.**
The Titchmarsh-Weyl function of a Jacobi operator with cyclic is the function of defined by either side of formula (2.15).
is also known as the Titchmarsh-Weyl m-function in the theory of Jacobi operators [70].
2.5. Jacobi Operators: Spectral Measures and Spectral Shift Functions
We now convert the equality (2.15) of matrix elements of Jacobi operators into a statement in spectral theory.
Definition 2.5.1**.**
The spectral measure of at is the probability measure defined by
[TABLE]
for every . To emphasize its definition, we write .
For trace-class perturbations, there is a relative notion of spectral measure due to Kreĭn [35].
Definition 2.5.2**.**
Given any pair of possibly unbounded self-adjoint operators on a Hilbert space so that is trace class, the spectral shift function is defined for all by the perturbation determinant in Definition [2.4.1] according to the formula
[TABLE]
Theorem 2.5.3**.**
[Lifshitz-Krein Trace Formula]* If has with Fourier transform in , for possibly unbounded self-adjoint operators with trace class, one has*
[TABLE]
which simplifies to if has bounded variation.
For review of spectral shift functions and (2.18), see Birman-Pushnitski [7] and Birman-Yafaev [8].
Corollary 2.5.4**.**
Under the assumptions of essential self-adjointness in Theorem [2.4.3], the spectral measure of at determines the spectral shift function of by
[TABLE]
Formula (2.19) is a particular case of formula (2.9). By Corollary [2.5.4], we have proven:
Proposition 2.5.5**.**
Under the assumptions of essential self-adjointness of in Theorem [2.4.3], a self-adjoint operator and determine a unique profile so that
- •
The -observable in (2.7) is the Titchmarsh-Weyl function (2.15)
- •
The transition measure in (2.9) is the spectral measure of at in (2.16)
- •
The shifted Rayleigh function in (2.4) is the spectral shift function in (2.17).
Our Proposition [2.5.5] generalizes the case of bounded proved by Kerov in §5-§6 of [33]. Our distinction between the Rayleigh function and shifted Rayleigh function corrects the statement of Theorem 6.1.3 in [33] by accounting for the difference between the principal minor on and the embedded principal minor on . Finally, note that the converse of our Proposition [2.5.5] is not true: the only probability measures arising as spectral measures of such essentially self-adjoint at are those whose Hamburger moment problem is determinate, a result of Nevanlinna discussed by Simon in [69]. Hamburger indeterminate still determine a unique profile by Theorem [2.3.4], just not in the manner of Proposition [2.5.5].
3. Lax Spectral Shift Functions and Dispersive Action Profiles
In this section we prove Proposition [1.2.1] and derive our expression (1.11) for the classical Nazarov-Sklyanin hierarchy (1.6) in terms of dispersive action profiles in Definition [1.2.2].
3.1. Classical Benjamin-Ono Lax Operator: Principal Minor and Embedded Principal Minor
To apply results from §[2.4] in §[3.3], we first specialize the definition of principal minors and embedded principal minors of in Definition [2.4.2] to from Definition [1.1.2].
Definition 3.1.1**.**
The principal minor of the Lax operator is its restriction to the closed subspace of periodic Hardy space spanned by for .
Definition 3.1.2**.**
The embedded principal minor of the Lax operator in periodic Hardy space is the operator defined in block diagonal form by with respect to the decomposition , where is the principal minor of .
By Definition [3.1.2], the restriction of to the dense subspace is
[TABLE]
By inspection of (3.1), the principal minor is unitarily equivalent to the Lax operator whose symbol is shifted by . For further discussion of this shift relation see §5 in [55].
3.2. Classical Benjamin-Ono Lax Operator: Spectral Shift Functions and Interlacing Spectra
To apply results from §[2.5] in §[3.3], we first compare the spectrum of the Lax operator to that of its embedded principal minor . Since in (1.4), is elliptic. Since is bounded, is bounded perturbation of which has compact resolvent which implies:
Lemma 3.2.1**.**
[Boutet de Monvel-Guillemin [15]]* has discrete spectrum in *
[TABLE]
with eigenvalues bounded above with as the only point of accumulation.
By the same argument for Proposition [3.2.1], for the embedded principal minor we have:
Lemma 3.2.2**.**
* has discrete spectrum in with eigenvalues*
[TABLE]
and zero eigenvalue associated to in for .
We now prove that the eigenvalues found in Lemma [3.2.1] and Lemma [3.2.2] interlace.
Proposition 3.2.3**.**
For and bounded , the spectra (3.2), (3.3) of , interlace
[TABLE]
- •
Proof: Specialize the spectral shift function of Definition [2.5.2] to . By Lemma [3.2.1] and Lemma [3.2.2], the spectral shift function satisfies
[TABLE]
in the weak sense of the trace formula (2.18). By (3.5), to prove (3.4) it is enough to show
[TABLE]
By the inequality in §2 of Birman-Pushnitski [7], (3.6) holds since is readily seen to have 1 positive and 1 negative eigenvalue. Note is in (3.5).
While the shift relation implies and relates (3.3) to (3.2), our proof of Proposition [3.2.3] does not use the shift relation. As we discuss in §5 of [55], the shift relation and the interlacing property (3.4) imply the simplicity of the spectrum (3.2).
3.3. Dispersive Action Profiles for the Classical Nazarov-Sklyanin Hierarchy
We now prove Proposition [1.2.1] which asserts that in (1.6) has simple interlacing zeroes and poles.
- •
Proof of Proposition [1.2.1]. For bounded , is essentially self-adjoint on the orbit of in Hardy space . By (1.5) and (1.6), the Nazarov-Sklyanin hierarchy
[TABLE]
is the Titchmarsh-Weyl function (2.15) of the Lax operator . By Theorem [2.4.3],
[TABLE]
Using the spectral shift function, combine formula (2.17) and (3.5) to get
[TABLE]
after canceling the factor of in (3.8) using . By the interlacing property (3.4), cancellation in (3.9) only occurs if and determines a unique subsequence for which and and define a pair of strictly interlacing sequences as in (1.9) so (1.8) holds. With this choice, the left side of (1.10) is . By the trace formula (2.18), this alternating sum is the relative trace
[TABLE]
which for the explicit rank is the right side of (1.10).
Proposition 3.3.1**.**
As a consequence of Proposition [2.5.5] and our proof of Proposition [1.2.1], the dispersive action profile in Definition [1.2.2] is the unique profile so that
- •
The -observable in (2.7) is the classical Nazarov-Sklyanin hierarchy (1.6)
- •
The transition measure in (2.9) is the spectral measure of at
- •
The shifted Rayleigh function in (2.4) is the spectral shift function .
4. Finite Gap Conditions for Dispersive Action Profiles
In §4.1, we review properties of the Baker-Akhiezer functions from Dobrokhotov-Krichever [18]. In §4.2, we identify them with the Baker-Akhiezer functions (1.5) from Nazarov-Sklyanin [57] in the special case of the multi-phase solutions (1.13) of Satsuma-Ishimori [67]. With this identification, in §4.3 we prove Theorem [1.3.3]: the multi-phase waves are finite gap. In §4.4, we prove Proposition [1.3.4]: after reflection , multi-phase waves are no longer finite gap.
4.1. Properties of Dobrokhotov-Krichever Multi-Phase Baker-Akhiezer Functions
In [18], Dobrokhotov-Krichever derived the formula (1.13) for the Satsuma-Ishimori multi-phase solutions by associating to real parameters (1.12) a singular rational spectral curve and, to further parameters , a pair of functions each solving a non-stationary Schrödinger equation in the same and as (1.1) whose time-dependent potentials are the pair of functions appearing in the previously known realization of (1.1) as a non-local Riemann-Hilbert problem. These two are branches of the classical multi-phase Baker-Akhiezer function on their spectral curve. We choose to express the time dependence of the non-stationary implicitly through which solves (1.1) in the same time variable . We now collect a non-exhaustive list of properties of these established in the proof of Theorem 1.1 in [18].
Theorem 4.1.1**.**
[Dobrokhotov-Krichever [18]]* Given , in (1.12), and , the Satsuma-Ishimori multi-phase quasi-periodic solutions of the Benjamin-Ono equation (1.1) from [67] may be written by formula (1.13) as a rational function of exponential phases. These formulae are determined by two finite gap solutions of two different non-stationary Schrödinger equations indexed by for and with the following properties:*
- •
(i)* As functions of , extend to analytic functions of in*
[TABLE]
the upper (+) and lower (-) half-planes which bound at .
- •
(ii)* As , obey the asymptotic relations*
[TABLE]
where is the size of the smallest of the gaps.
- •
(iii)* If are chosen so that the multi-phase solution is a -periodic function of , there exist which are both -periodic functions of so that*
[TABLE]
- •
(iv)* The two functions are related by the identity*
[TABLE]
where , is the operator of multiplication by for multi-phase , and
[TABLE]
4.2. Identification of Baker-Akhiezer Functions
The key ingredient we need in §[4.3] is this:
Proposition 4.2.1**.**
For any , , and for which (1.13) is -periodic in ,
[TABLE]
the classical Baker-Akhiezer function (1.5) of from Nazarov-Sklyanin [57] specialized to the multi-phase solutions defined by (1.13) recovers the periodic part of the Dobrokhotov-Krichever multi-phase Baker-Akhiezer function from (4.3) after the identification
[TABLE]
and up to a factor defined by (4.5) and which depends only on and .
- •
Proof of Proposition [4.2.1]: By Definition [1.1.1] of Hardy space, spans a 1-dimensional subspace with orthogonal decomposition in which contains as a dense subspace. Under the identification (4.7), consists of -periodic functions of that extend to analytic functions in the upper-half plane (including constant functions in ), while is the subspace of functions in satisfying (excluding constant functions in ). By properties (i), (ii), and (iii) of Theorem [4.1.1] from Dobrokhotov-Krichever [18], for any fixed ,
[TABLE]
both with constant coefficient , which for is
[TABLE]
With the relation for , Theorem [4.1.1] part (iv) becomes
[TABLE]
Now since this , use the Szegő projection to replace with , then take of both sides and use (4.8) and (4.9) for and to get
[TABLE]
with the Lax operator. Applying the resolvent of to either side gives:
[TABLE]
Since the image of under the resolvent of the Lax operator is the definition of the classical Baker-Akhiezer function (1.5) in Nazarov-Sklyanin [57], we have proved (4.6).
While Proposition [4.2.1] implies that the construction in Nazarov-Sklyanin [57] is more general, the role of the non-stationary Schrödinger equations in Dobrokhotov-Krichever [18] remains to be understood in the setting of arbitrary initial data in (1.1). The exponential phases on the diagonal of the matrix (1.14) in their formula (1.13) from [18] originate from the exponential phases
[TABLE]
in (4.2) and (4.3). Not only are (4.13) highly oscillatory in the small dispersion limit , they acquire a phase upon translation and are thus multi-valued functions of . We expect (4.13) should play a role in a non-local Bloch-Floquet theory for the Lax operator .
4.3. Multi-Phase Solutions are Finite Gap
We now prove Theorem [1.3.3].
- •
*Proof of *Theorem [1.3.3]: Write (4.6) in Proposition [4.2.1] in basis using (4.7) and identify coefficients of . By (1.6), the left coefficient in (4.6) is . By (4.9), the right coefficient in (4.6) is . By (3.7) and (4.5), we now have
[TABLE]
By Definition [1.2.2] and Proposition [3.3.1], the left side of (4.14) is the -observable of the multi-phase dispersive action profile . By Definition [1.3.2] and formula (2.10), the right side of (4.14) is the -observable of the Dobrokhotov-Krichever profile . Since profiles are determined by their -observables (2.7), this proves (1.17).
4.4. Reflected Multi-Phase Initial Data are not Finite Gap
We now prove Proposition [1.3.4].
Lemma 4.4.1**.**
For the -phase periodic traveling wave defined by (1.16), at some time its Fourier coefficients are all positive, but at no time are its Fourier coefficients all negative.
Lemma [4.4.1] follows from (1.16) or formula (5) in [3]. The next two lemmas follow from the fact that for , a probability measure on has support in if and only if for all
[TABLE]
Lemma 4.4.2**.**
For and bounded , the spectral measure of at is the transition measure of the dispersive action profile , so by Corollary [2.3.5] has finite-many gaps if and only if for all there is some independent of so that
[TABLE]
Lemma 4.4.3**.**
For , for if and only if for all
[TABLE]
- •
*Proof of *Proposition [1.3.4]: By contradiction, assume is finite gap. To leading-order in , the coefficient of in (1.6) is determined by the Sobolev norms of :
[TABLE]
By Lemma [4.4.1] and (1.13), without loss of generality all Fourier coefficients of the reflected multiphase initial data are negative. Since is also negative, the term in (4.18) is for some , which proves the first in
[TABLE]
For the second with , use the assumption finite gap and Lemma [4.4.2]. Formula (4.19) and Lemma [4.4.3] imply is Laurent in , contradicting (1.13).
5. Toeplitz Spectral Shift Functions and Convex Action Profiles
In this section we give a non-local characterization of the convex action profile for bounded from Definition [1.4.1] in Proposition [5.4.5] below. To establish this characterization, we restate Szegő’s First Theorem for Toeplitz operators using a spectral shift function implicit in Simon [70].
5.1. Rayleigh Measures of Convex Action Profiles are Push-Forwards of Uniform Measures
For and any measurable , recall that the push-forward of the uniform measure on along is the probability measure on for which
[TABLE]
for all bounded continuous . Choosing as a Rayleigh measure as in §[2.1], (5.1) implies:
Proposition 5.1.1**.**
For bounded , the convex action profile of Definition [1.4.1] is the convex profile as in Definition [2.2.1] whose Rayleigh measure is the push-forward of the uniform measure on along , i.e. with and whose Rayleigh function is given by (1.22).
5.2. Multiplication Operators and Convex Action Profiles
We first give a spectral realization of the convex action profile through multiplication operators. Let .
Definition 5.2.1**.**
For bounded -periodic , the multiplication operator on is defined by
[TABLE]
We say that is the multiplication operator with symbol .
Lemma 5.2.2**.**
For bounded -periodic real , is bounded and self-adjoint on .
Proposition 5.2.3**.**
The spectral measure of the multiplication operator at is the push-forward of the normalized uniform measure on the unit circle along and thus the Rayleigh measure of the convex action profile of Definition [1.4.1].
Lemma [5.2.2] is standard. Definition [2.5.1] and Proposition [5.1.1] imply Proposition [5.2.3].
Proposition [5.2.3] gives a characterization of the convex action profile through the spectral theory of a local differential operator of order [math]. This perspective is relevant in the study of the small dispersion limit of the classical Korteweg-de Vries equation, since the multiplication operator is the small dispersion limit of the associated classical Lax operator. In the same manner, to streamline our description in §[6] of the small dispersion asymptotics of the integrable hierarchy (1.6) for the classical Benjamin-Ono equation (1.1), in §[5.4] we characterize the convex action profile in terms of the small dispersion limit of the associated classical Lax operator .
5.3. Toeplitz Operators and Embedded Principal Minors
We now specialize Definition [1.1.2] to the case of Toeplitz operators [11, 12] and discuss their spectral theory next in §[5.4]. Recall from §[1.1] the Definition [1.1.1] of the Hardy space of .
Definition 5.3.1**.**
For -periodic , the Toeplitz operator on with symbol is
[TABLE]
where is the multiplication operator on in (5.2) and is the Szegő projection (1.2).
We write for Hardy space, not , since contains for including [math]. Choose which spans and yields the orthogonal decomposition where contains as a dense subset. Specializing the orthogonal projections , from Definition [2.4.2] to the case of in Hardy space , we have:
Definition 5.3.2**.**
For -periodic , the embedded principal minor of on is
[TABLE]
where is the multiplication operator on and is the shifted Szegő projection to .
For V_{k}={\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@color@gray@fill{0}\int_{0}^{2\pi}}e^{\textnormal{{i}}kx}v(x)\frac{dx}{2\pi} the Fourier modes of the symbol , in the basis of , the Toeplitz operator and its embedded principal minor are
[TABLE]
5.4. Szegő’s First Theorem and Convex Action Profiles
We now give a second realization of the convex action profiles in the spectral theory of Toeplitz operators.
Theorem 5.4.1**.**
[Rosenblum [66]]* For bounded real , has absolutely continuous spectrum.*
By this result of Rosenblum [66], we can already see that the spectral theory of Toeplitz operators which we expect at is drastically different than the spectral theory of the classical Lax operator for which has discrete spectrum by Lemma [3.2.1]. Fortunately, in §[2] we made no assumptions on the spectrum of our general self-adjoint . Our only requirement was the essential self-adjointness of on the orbit of a given . We now verify this property for .
Theorem 5.4.2**.**
[Toeplitz 1911]* is bounded if and only if is bounded. Moreover, the spectrum of coincides with the essential range of and .*
For a proof of Theorem [5.4.2] see Theorem 2.7 in Böttcher-Silbermann [11]. This result implies:
Lemma 5.4.3**.**
If is real and bounded, is essentially self-adjoint on the orbit of .
Essential self-adjointness implies stability of the Galerkin approximations [11, 12] and is also the key assumption in Theorem [2.4.3] which implies
[TABLE]
The computation of the perturbation determinant in (5.6) is a famous result in Toeplitz theory:
Theorem 5.4.4**.**
[Szegő’s First Theorem]* For bounded -periodic real the multiple of the perturbation determinant of -additive shifts of the Toeplitz operator with respect to its embedded principal minor is the geometric mean of :*
[TABLE]
Szegő’s First Theorem, also known as the “weak Szegő theorem,” is not often stated for perturbation determinants of Toeplitz operators but instead as an asymptotic result for determinants of large Toeplitz matrices as originally conjectured by Pólya, see for example Theorem 5.10 in §5.5 of Böttcher-Silbermann [12] or Theorem 2 in Deift-Its-Krasovsky [16]. However, as discussed by Simon in Remark 2 of Theorem 1.6.1 in [70], in 1920 Szegő did actually prove Theorem [5.4.4] which implies the Pólya conjecture following a recommendation from Fekete. The perturbation determinant in (5.7) coincides with the asymptotic ratio of characteristic polynomials in formula (1.6.8) of Simon [70] due to the essential self-adjointness in Lemma [5.4.3].
We now realize the convex action profile not by an auxiliary spectral theory of a local multiplication operator as in Proposition [5.2.3] but from a non-local Toeplitz operator :
Proposition 5.4.5**.**
As a consequence of Proposition [2.5.5] and Theorem [5.4.4], the convex action profile in Definition [1.4.1] is the unique profile so that
- •
The -observable in (2.7) is the geometric mean of in (5.7)
- •
The transition measure in (2.9) is the spectral measure of at
- •
The shifted Rayleigh function in (2.4) the spectral shift function .
6. Small Dispersion Limits of Dispersive Action Profiles
In §[6.1] we prove our second Theorem [1.4.3], that for bounded real , in the small dispersion limit the dispersive action profiles converge to the convex action profiles . In §[6.2] we prove Proposition [1.4.2] that convex action profiles are invariant under (1.21).
6.1. Dispersive Action Profiles at Small Dispersion are Convex Action Profiles
Using our realizations of both the dispersive and convex action profiles through spectral shift functions as key ingredients, we now prove Theorem [1.4.3] as an application of Kerov’s theory of profiles [33].
- •
*Proof of *Theorem [1.4.3]: As , the Lax operator converges to a Toeplitz operator in the strong topology. By continuity of the von Neumann spectral theorem, resolvent matrix elements converge pointwise
[TABLE]
for . By Proposition [3.3.1] and Proposition [5.4.5], formula (6.1) is the pointwise convergence of -observables of the dispersive action profile to the convex action profile , which is exactly the desired weak convergence in Theorem [1.4.3].
Note: by results in §1.4 in Kerov [33], our pointwise convergence of -observables of profiles in Theorem [1.4.3] implies proper weak convergence of in the Rayleigh functions .
6.2. Convex Action Profiles and Classical Dispersionless Benjamin-Ono
By Theorem [1.1.5] of Nazarov-Sklyanin [57] and Proposition [1.4.2], our second Theorem [1.4.3] relates hierarchies of infinitely-many conserved quantities for the classical equations (1.1) and (1.21). For completeness, we provide a short proof of Proposition [1.4.2] following the textbook of Miller [47].
- •
Proof of Proposition [1.4.2]: By Proposition [5.1.1], it is enough to check that any bounded continuous defines a conserved quantity
[TABLE]
for short times if solves (1.21). The short time assumption is precisely where is the breaking time when characteristics cross discussed in §3.6.1 of Miller [47]. To verify (6.2) it is enough to take for since the push-forward of the uniform measure is bounded hence determined by its moments. is differentiable for , so for all follows by direct calculation.
For a more illuminating and intuitive proof of Proposition [1.4.2], take the standard interpretation of solutions to (1.21) as the velocity field of a continuum of infinitely-many non-interacting particles on the circle with constant uniform density . From this point of view, for any fixed the mass of particles with velocity is obviously conserved by the conservation of mass and momentum of the microscopic non-interacting particles. This argument gives a microscopic origin for the convex action profile of the macroscopic field . In the same way, as discussed in §[8], a multi-phase solution is itself a system of interacting -phase periodic traveling waves whose conserved asymptotic wavespeeds are the band midpoints of the dispersive action profile .
7. Illustration of Results for Sinusoidal Initial Data
In this section we calculate the dispersive and convex action profiles for as in (1.24).
7.1. Dispersive Action Profiles for Sinusoidal Initial Data
We discuss the next result in §[9.2].
Proposition 7.1.1**.**
For and , the dispersion action profile is the profile in Nekrasov-Pestun-Shatashvilli [61] whose -observable (2.7) is the solution of
[TABLE]
the difference equation in §4 of Poghossian [65] which satisfies as .
- •
*Proof of *Proposition [7.1.1]: for , the Lax operator (1.3) is tri-diagonal
[TABLE]
with all blank entries [math]. By definition, the dispersive action profile is the unique profile whose -observable is the Titchmarsh-Weyl function (2.15) of (7.2). For any tri-diagonal one-sided Jacobi matrix with diagonal entries and off-diagonal entries , the principal minor is of the same form with diagonal entries and off-diagonal entries . Their Titchmarsh-Weyl functions and satisfy
[TABLE]
For in (7.2), so (7.3) is equivalent to (7.1). By Theorem [2.3.4], the is also a Stieltjes transform, so satisfies the desired boundary condition.
7.2. Convex Action Profiles for Sinusoidal Initial Data
Proposition 7.2.1**.**
For , the convex action profile is
[TABLE]
the convex profile discovered by Vershik-Kerov [34] and Logan-Shepp [39].
- •
*Proof 1 of *Proposition [7.2.1]: Direct simplification of Definition [1.4.1].
- •
*Proof 2 of *Proposition [7.2.1]: By Theorem [1.4.3] and Proposition [7.1.1], the limit of is determined by the limit of the functional difference equation (7.1):
[TABLE]
The solution of (7.5) satisfying the given boundary condition is well-known to be the Stieltjes transform of Wigner’s semi-circle law. By Example 5.2.7 in Kerov [33], this law is the transition measure of the profile in Vershik-Kerov [34] and Logan-Shepp [39].
8. Discussion of Results and Classical Dispersive Shock Waves
The description of solutions to (1.1) at finite time in the small dispersion limit is a challenging problem in asymptotic analysis which we do not address in this paper. Our second Theorem [1.4.3] describes the conserved quantities for (1.1) carried by dispersive action profiles at small dispersion, not the solutions of (1.1) at small dispersion. That being said, our motivation for studying dispersive action profiles is their appearance in the Whitham approximation of solutions to (1.1) at small dispersion as classical dispersive shock waves which we now review. For background, see El-Hoefer [24], Lax-Levermore-Venakides [38], Miller [48], and Whitham [74]. First, consider the midpoints of dispersive action profile bands :
[TABLE]
By Theorem [1.3.3], for multi-phase solutions , the band midpoints are . By the Dobrokhotov-Krichever formula (1.13), the band midpoints are manifestly the conserved asymptotic wavespeeds of the constituent 1-phase periodic traveling waves in . Next, as the band shrinks or merges with the other band in (1.16),
[TABLE]
the 1-phase solution is either a -soliton or constant solution of (1.1). By Theorem [1.4.3], as the dispersive action profile concentrates on the convex action profile , the bands are merging towards the left edge and are shrinking towards the right edge of . We may now describe the Whitham approximation of the solution of (1.1) at small and fixed time in terms of the band midpoints (8.1) of the dispersive action profile: at fixed time after the breaking time, is a classical dispersive shock wave with
- (1)
Trailing edge of low-amplitude waves of wavespeeds near the edge 2. (2)
Oscillatory bulk of modulated -phases of wavespeeds in the bulk 3. (3)
Leading edge of separated -solitons of wavespeeds near the edge .
The description (1)-(3) above is adapted from the discussion in §5.2.1 in McLaughlin-Strain [46]. Profiles do not reflect dependence in found by Dobrokhotov-Krichever [18].
In simulations of Bettelheim-Abanov-Wiegmann [6] and Miller-Xu [51], a localized initial data of maximum height emits a highly oscillatory wave packet with maximum height We now identify frozen regions of dispersive action profiles and, conditioned on the relation (3) in the Whitham approximation to the solutions of (1.1) as dispersive shock waves discussed above, account for this factor of observed in simulations.
Proposition 8.0.1**.**
For and any bounded solution of (1.1) -periodic in with mean , the dispersive action profile coincides with in the region .
- •
Proof of Proposition [8.0.1]: For any bounded , since by Toeplitz’s Theorem [5.4.2] and is non-positive for , the spectrum of the classical Lax operator in is contained in . By the same argument, the spectrum of the embedded principal minor in is contained in the same region, so the spectral shift function must be zero in . By Theorem [1.1.5] and Corollary [3.3.1], this spectral shift function is conserved for (1.1), so we actually have in . Since the dispersive action profile is determined from by Corollary [3.3.1], the result holds.
If one views our Theorem [1.4.3] as the formation of a convex limit shape as , the region in Proposition [8.0.1] should be called a frozen region and a hard edge. In Figure [2], we draw a solid line at to represent this hard edge (no bands above ) whereas we draw a dotted line at since is a soft edge (gaps may form below ).
According to the Whitham approximation reviewed above, the oscillatory wave packet emitted by localized initial data is a dispersive shock wave whose leading edge is comprised of separated solitons with wavespeeds where is the right edge of the support of the convex action profile in our Theorem [1.4.3]. By Proposition [8.0.1], no bands can form to the right of at any , hence soliton speeds are bounded . Since the soliton amplitude-speed relation for (1.1) is as is found e.g. El-Nguyen-Smyth [25], we have , consistent with in simulations such as Figure [8].
9. Comments on Results and Comparison with Previous Results
9.1. Comments on Classical Edge Universality and Integrability
The classical Benjamin-Ono equation (1.1) appears as a universal description of many classical fluid interfaces in two spatial dimensions (such as density, vorticity, or shear) in the asymptotic regime of long wavelength and weak non-linearity. In particular, (1.1) was recently shown by Bogatskiy-Wiegmann [10] to describe the edge dynamics of a large number of point vortices of identical circulation in the inviscid incompressible Euler equations in two dimensions. A key step in [10] is to derive a hydrodynamic description of the collection of point vortices and prove that the resulting vortex fluid is itself dissipationless and isotropic with non-trivial odd viscosity [4]. The odd viscous forces in the bulk give rise to a boundary layer near the edge which leads to (1.1).
A striking feature of two dimensional fluids with odd viscosity such as those giving rise to (1.1) is the existence of an explicit family of infinitely-many conserved quantities in the bulk. For classical ideal fluids in two dimensions, recall that vorticity is frozen into the flow, thus leading to the conservation of infinitely-many Casimirs including circulation and enstrophy. In the presence of odd viscosity, these functions of vorticity remain conserved if one introduces an additive shift to the vorticity depending on the non-uniformity of mass density and the odd viscosity coefficient. For a recent discussion and derivation of these Casimirs, see Abanov-Can-Ganeshan-Monteiro [1].
9.2. Comments on Dispersion Coefficient Notation and Sinusoidal Initial Data
Our in (1.1) is chosen to match the standard notation in Nekrasov’s Omega background [59], a gauge theory known to be related to a quantization of (1.1) with . For a recent discussion of (1.1) from this point of view, see §1.1.6 in Okounkov [63]. We study this quantization of the classical periodic Benjamin-Ono equation in [55] where we derive exact Bohr-Sommerfeld quantization conditions on the classical multi-phase solutions (1.13). In §[7], we saw that the convex action profile for in (1.24) is the profile in Vershik-Kerov [34] and Logan-Shepp [39], which Nekrasov-Okounkov [60] proved determines the Seiberg-Witten curve and prepotential of pure SUSY Yang-Mills theory on . In §[7], we also saw that the dispersive action profile is the profile which determines the -deformed curve and twisted superpotential of this theory in Nekrasov-Shatashvili [62] and Poghossian [65]. As Nekrasov-Pestun-Shatashvili [61] write, for “the important difference is that now … the profile … cannot be assumed to be a smooth function. Instead, the profile … shall be described by an infinite series of continuous variables,” the interlacing local extrema of .
9.3. Comments on Dispersive Action Profiles and Classical Nazarov-Sklyanin Hierarchy
The problem of constructing integrable hierarchies of conserved quantities for (1.1) has a long history beginning in the pioneering works [9, 26, 31, 32, 56]. For definitive accounts, see the books of Ablowitz-Clarkson [2] and Matsuno [42]. Without reference to boundary conditions, (1.1) can be rewritten through a Lax pair of Bock-Kruskal [9] as a non-local Riemann-Hilbert problem or Hirota’s bilinear formalism by which Nakamura derived a hierarchy of conserved quantities [56], Fokas-Ablowitz an inverse scattering transform (IST) [26], and Kaup-Matsuno [31, 32] a simplification of the IST for real initial data. Since the small data work of Coifman-Wickerhauser [13], recent progress on the IST in the rapidly-decaying case appeared in Miller-Wetzel [49] and Wu [75, 76], while a new conservation law for (1.1) was found by Ifrim-Tataru [28] without the IST. For a recent survey of research on the classical Benjamin-Ono equation (1.1), see Saut [68].
In the periodic case, to our knowledge the first convergent construction of an integrable hierarchy came in Nazarov-Sklyanin [57]. Their result in [57] builds upon their paper [58] and is stronger than Theorem [1.1.5]: for all , the classical Baker-Akhiezer averages Poisson commute for the Gardner-Faddeev-Zakharov bracket from the Sobolev space for , the symplectic space for (1.1). Moreover, their proof follows from quantum commutativity of a distinguished quantization of with respect to . In [55], we verify that the quantum results in [57] reduce to our presentation of classical results of [57] in §[1.1] in [55]. In recent work, low regularity conservation laws were constructed by Talbut [72] and invariant measures in several works culminating in Deng-Tzvetkov-Visciglia [17] and Sy [71]. In subsequent work, Gérard-Kappeler [27] independently discovered (1.6) and the Baker-Akhiezer function (1.5) of Nazarov-Sklyanin [57] and gave a new proof of Theorem [1.1.5] using a new Lax pair for the Hamiltonian flow generated by (1.6) for . We verify agreement between [27, 57] in §5 of [55]. While we do not use the Hamiltonian structure of (1.1) below, using work of Gérard-Kappeler [27] we identify gaps in dispersive action profiles with action variables in [55].
9.4. Comments on Finite Gap Conditions and Dobrokhotov-Krichever Spectral Curves
Our Theorem [1.3.3] and Proposition [1.3.4] both agree with the subsequent classification of finite gap solutions of (1.1) by Gérard-Kappeler [27] as we show in §9 of [55]. Our proofs rely on properties of finite gap potentials of non-stationary Schrödinger equations from Dobrokhotov-Krichever [18] which we recount in Theorem [4.1.1]. The role of these non-stationary Schrödinger equations in the study of (1.1) with generic periodic initial data merits further investigation. The use of finite gap potentials for non-stationary Schrödinger equations in [18] builds on the construction by Krichever [36] of complex quasi-periodic finite gap potentials for non-stationary Schrödinger equations from generic curves, Dubrovin’s conditions [20, 21] for reality and smoothness of the potentials, and the later work of Dobrokhotov-Maslov [19] and Dubrovin-Krichever-Malanyuk-Makhankov [23]. For background on this theory of finite gap potentials, see surveys by Krichever [37] and Matveev [45].
9.5. Comments on Small Dispersion Asymptotics
Our second Theorem [1.4.3] is a result for conserved quantities, not for solutions of (1.1). For the small dispersion limit of solutions of (1.1), recent progress for smooth rapidly-decaying initial data appeared in Miller-Xu [51, 52] and Miller-Wetzel [50]. For work on the Whitham approximation for (1.1), see Dobrokhotov-Krichever [18], Matsuno [43, 44], Jorge-Minzoni-Smyth [30], and El-Nguyen-Smyth [25]. For an extension of Dubrovin’s universality conjectures [22] to (1.1), see Masoero-Raimondo-Antunes [40].
9.6. Comments on Critical Regularity and Quantum Dispersive Shock Waves
Coincidentally, the Sobolev regularity of the symplectic space for (1.1) is also the critical regularity of (1.1). For discussion of criticality, see Saut [68] and Tao [73]. Consider the critical random initial data
[TABLE]
where is subcritical, , and is the mean zero log-correlated Gaussian field on . In the author’s thesis [54], we argue that coherent state initial data in the geometric quantization of (1.1) by Nazarov-Sklyanin [57] provides a distinguished regularization of the Cauchy problem for (1.1) with initial data (9.1) and show that this regularization is controlled by a model of random partitions. As in §[8], band midpoints of profiles of these random partitions capture the random local speeds of quantum dispersive shock waves studied by Bettelheim-Abanov-Wiegmann [6].
Acknowledgments. The author would like to thank Percy Deift, Igor Krichever, Dana Mendelson, Peter Miller, and Petar Topalov for many helpful discussions. This work was supported by the Andrei Zelevinsky Research Instructorship at Northeastern University and by the National Science Foundation RTG in Algebraic Geometry and Representation Theory under grant DMS-1645877.
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