This paper investigates the cohomology of scalar evolution equations, revealing the structure of variational and symplectic operators, and characterizing third-order equations with specific symplectic properties.
Contribution
It establishes the isomorphism between cohomology spaces and variational or symplectic operators, and characterizes third-order equations with first-order symplectic operators.
Findings
01
Cohomology space H^{1,2} is isomorphic to variational and symplectic operators.
02
H^{1,s} vanishes for s≥3, simplifying the cohomology structure.
03
Characterization of third-order scalar evolution equations with first-order symplectic operators.
Abstract
For a scalar evolution equation ut=K(t,x,u,ux,…,un),n≥2 the cohomology spaces H1,s(R∞) vanishes for s≥3 while the space H1,2(R∞) is isomorphic to the space of variational operators. The cohomology space H1,2(R∞) is also shown to be isomorphic to the space of symplectic operators for ut=K for which the equation is Hamiltonian. Third order scalar evolution equations admitting a first order symplectic (or variational) operator are characterized. The symplectic nature of the potential form of a bi-Hamiltonian evolution equation is also presented.
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Full text
Variational Operators, Symplectic Operators, and the Cohomology of Scalar Evolution Equations
M.E. Fels
and
E. Yasar
Mark E. Fels
Department of Mathematics and Statistics, Utah State University, Logan Utah, 84322
For a scalar evolution equation ut=K(t,x,u,ux,…,un),n≥2 the cohomology spaces H1,s(R∞) vanishes for s≥3 while the space H1,2(R∞) is isomorphic to the space of variational operators. The cohomology space H1,2(R∞) is also shown to be isomorphic to the space of symplectic operators for ut=K for which the equation is Hamiltonian. Third order scalar evolution equations admitting a first order symplectic (or variational) operator are characterized. The symplectic nature of the potential form of a bi-Hamiltonian evolution equation is also presented.
1. Introduction
Given a scalar differential equation Δ=0, the multiplier problem in the calculus of variations consists in determining whether there exists a smooth function m (the multiplier) and a smooth Lagrangian L such that
[TABLE]
where E is the Euler-Lagrange operator and E(L) is the Euler-Lagrange expression for L. The problem of determining whether m and L exists has a long history and is known as the inverse problem in the calculus of variations [anderson-thompson:1992a, fels:1996a, Douglas:1941a, anderson-duchamp:1984a, saunders:2010a, do-prince:1941a, krupka:1981a].
The variational bicomplex [anderson:2016a, anderson:1992a, tsujishita:1982a] can be used to provide an invariant solution to the inverse problem by utilizing the Helmholtz conditions. In terms of the variational bicomplex, the existence of a solution to 1.1 can be expressed by the existence of an element of the cohomology space Hn−1,2 for the equation of a special algebraic nature where n is the number of independent variables. The existence of a non-trivial cohomology class for the equation Δ can then in principle be expressed in terms of invariants of the equation such as in [anderson-thompson:1992a, fels:1996a].
One of the goals of this article is to give a complete interpretation of the cohomology space H1,2(R∞) for scalar evolution equations ut=K(t,x,u,ux,…) which extends the interpretation of the special elements which control the solution to the inverse problem. The result is a natural generalization of the inverse problem in equation 1.1 we call the variational operator problem. Given a differential equation Δ=0, does there exist a differential operator E and Lagrangian L such that
[TABLE]
A simple example is given by the potential cylindrical KdV equation, ut=uxxx+21ux2−2tu which admits E=tDx as a first order variational operator,
[TABLE]
The variational operator problem in equation 1.2 can be studied for either the case of scalar or systems of ordinary or partial differential equations. Here we restrict our attention to problem 1.2 in the case where Δ is a scalar evolution equations in order to relate this problem to the theory of symplectic and Hamiltonian operators for integrable systems.
In Section 2 we give a quick summary of the relevant facts about the variational bicomplex for the case
we need. Sections 3 and 4 provide normal forms for the cohomology spaces Hr,s(R∞)
in the variational bicomplex associated with the equation Δ=0. These forms are then used in Section 5 to show there exists a one to one correspondence between the solution to 1.2 and the cohomology space H1,2(R∞). Even order evolution equations don’t admit variational operators but we have the following theorem for odd order equations (the summation convention is assumed).
Theorem 1.1**.**
Let E=ri(t,x,u,ux,…)Dxii=0,…,k be a kth order differential operator and let the zero set of Δ=ut−K(t,x,u,ux,…,u2m+1),m≥1 define an odd order evolution equation.
(1)
The operator E is a variational operator for Δ if and only if E is skew-adjoint and
[TABLE]
is dH closed on R∞, where ϵ=−21riθi and θi are given in equation 2.11.
2. (2)
Let Vop(Δ) be the vector space of variational operators for Δ. The function Φ:Vop(Δ)→H1,2(R∞) defined from equation 1.3 by
[TABLE]
is an isomorphism.
The isomorphism property of Φ in Theorem 1.1 implies that a scalar evolution equation admits a variational operator if and only if H1,2(R∞)=0. Moreover the operator E (and subsequently the function L) in 1.2 are easily determined from [ω]∈H1,2(R∞) see Theorem 5.4.
Theorem 1.1 converts the solution to the operator problem 1.2 for a differential equation into a cohomology computation for the equation. The techniques developed for solving the multiplier inverse problem in terms of cohomology [anderson-thompson:1992a, fels:1996a, anderson-duchamp:1984a] can then be used to solve the operator problem.
A related problem to 1.2 in the theory of integrable systems is the notion
of a symplectic Hamiltonian evolution equation [dorfman:1993a] which is reviewed in Section 6 in terms of the variational bicomplex. In the time independent case, a scalar evolution ut=K(x,u,ux,…,un) equation is said to be Hamiltonian with respect to a time independent symplectic operator S=si(x,u,ux,…)Dxi if
[TABLE]
For a time dependent equation and operator, condition 1.5 is given in 6.28 in terms of the symplectic potential. Symplectic operators exists on a different space than variational operators but there is a natural identification (see Remark 2.1) between symplectic operators and operators which can be variational operators. With this identification, problems 1.2 and 1.5 are shown to be the same and in Section 7 and we have the following theorem.
Theorem 1.2**.**
Let S=si(t,x,u,ux,…)Dxi be a differential operator and let Δ=ut−K(t,x,u,ux,…,un). The operator S is a symplectic operator and Δ=0 is a symplectic Hamiltonian system for S if and only if S is a variational operator for Δ.
Theorem 1.2 shows that symplectic operators and variational operators for ut=K are the same so that Theorem 1.1 implies the following.
Theorem 1.3**.**
The function Φ in equation 1.4 defines an isomorphism between the vector space of symplectic operators S=E=ri(t,x,u,ux,…)Dxi for which Δ=ut−K is Hamiltonian, and the cohomology space H1,2(R∞).
With Theorem 1.3 in hand, the determination of a symplectic Hamiltonian formulation of ut=K is resolvable in terms of the cohomology H1,2(R∞) of the differential equation ut=K and subsequently the invariants of Δ. This characterization of symplectic Hamiltonian evolution equations in terms of H1,2(R∞) allows the techniques in [anderson-thompson:1992a, fels:1996a, anderson-duchamp:1984a] to be used in their study.
A key idea that directly explains the interplay between the symplectic Hamiltonian formulation for an evolution equation and the cohomology H1,2(R∞) is the fact that the equation manifold R∞ is canonically diffeomorphic to R×J∞(R,R). The cohomology of the equation is expressed in terms
of the geometric structure that arises from the embedding into J∞(R2,R) while the symplectic Hamiltonian formulation of an equation is expressed in terms of the contact structure on R×J∞(R,R). Theorem 7.5 shows how these are related and this leads to Theorem 1.3.
In Section 8 the case of first order operators for third order equations are examined in detail and the following characterization is found.
Theorem 1.4**.**
A third order scalar evolution equation ut=K(t,x,u,ux,uxx,uxxx) admits a first order symplectic operator (or variational operator) E=2RDx+DxR if and only if κ is a trivial conservation law, where
[TABLE]
and Ki=∂iK, K^2=3K32(K2−X(K3)), and
X is the total x derivative on R∞.
Furthermore, when κ=dH(logR) then ut=K admits the first order symplectic (or variational) operator E=2RDx+DxR
In Section 8 we examine the relationship between the Hamiltonian form of evolution equations and their potential form. In [Nutku:2002a] it is shown that the (first order) potential form of a Hamiltonian equation admits a variational operator. We examine this in more detail, as well as the role of bi-Hamiltonian systems as in [pavlov:2017a]. This theory is used in Example 9.1 where the Krichever-Novikov equation (or Schwartzian KdV) is shown to be the potential form of the Harry-Dym equation. The symplectic operators (or variational operators) for the Krichever-Novikov equation arise as the lift of the Hamiltonian operators of the Harry-Dym equation as described in Section 8.3.
Theorem 1.4 should be contrasted to the problem of determining a Hamiltonian formulation of a scalar evolution equation in terms of a Hamiltonian operator. An evolution equation ut=K is Hamiltonian with respect to a Hamiltonian operator D if there exists a Hamiltonian function H (see [vino:1986a, dorfman:1993a, Olver:1993a]) such that
[TABLE]
Conditions for the existence of D and H in equation 1.7 in terms of the invariants of ut=K is unknown. We illustrate the difference in these problems with the cylindrical KdV and its potential form. The potential form of the cylindrical KdV is easily shown to admit at least two variational (or symplectic) operators. Section 8.3 then suggests that the cylindrical KdV is a bi-Hamiltonian system. See Example 9.3 where a bi-Hamiltonian formulation of the cylindrical KdV is proposed ([wang:2002a] states that no Hamiltonian exists for the cylindrical KdV).
Lastly, in Appendix A we identify the elements of H1,1(R∞) which don’t arise as the vertical differential of a conservation law with a family of variational operators. Example 9.2 demonstrates the theory.
2. Preliminaries
In this section we review some basic facts on the variational bicomplex associated with scalar evolution equations, see [anderson-kamran:1997a] for more details.
2.1. The Variational Bicomplex on J∞(R2,R)
The t and x total derivative vector fields on J∞(R2,R) with coordinates (t,x,u,ut,ux,utt,utx,uxx,…) are given by
[TABLE]
The contact forms on J∞(R2,R) are
[TABLE]
where ui=Dxi(u) and ua,i=DxiDta(u)=utttt…,xxx….
The free variational bicomplex on J∞(R2,R) is denoted by Ωr,s(J∞(R2,R)) where ω∈Ωr,s(J∞(R2,R)) is a differential form of degree r+s which is horizontal of degree r and vertical of degree s (see Section 2 in [anderson-kamran:1997a]). In particular if ω∈Ω1,2(J∞(R2,R)) then
[TABLE]
The horizontal and vertical differentials are anti-derivations
[TABLE]
which satisfy
[TABLE]
where f∈C∞(J∞(R2,R)). Since d=d\scaletoH4pt+d\scaletoV4pt this implies,
[TABLE]
The integration by parts operator I:Ω2,s(J∞(R2,R))→Ω2,s(J∞(R2,R)) is defined by
[TABLE]
and it has the following properties [anderson:1992a], [anderson:2016a],
[TABLE]
If we let J:Ωr,s(J∞(R2,R)→Ωr−1,s(J∞(R2,R)) be
[TABLE]
then I(κ)=s1ϑ0∧J(κ). Both J and I satisfy,
[TABLE]
The operator J is the interior Euler operator, see page 292 in [anderson-kamran:1997a] or page 43 in [anderson:2016a].
Let E=riaDxiDta be a total differential operator. The formal adjoint E∗
is the total differential operator characterized as follows. For any ρ∈Ω0,s(J∞(R2,R)) and ω∈Ω0,s′(J∞(R2,R)) there exists ζ∈Ω1,s+s′(J∞(R2,R)) depending on ρ and ω such that
[TABLE]
This leads to
[TABLE]
It follows from 2.6 that the formal adjoint satisfies (E∗)∗=E.
Let Δ be a smooth function on J∞(R2,R). The Fréchet derivative of Δ [Olver:1993a] is the total differential operator FΔ satisfying d\scaletoV4ptΔ=FΔ(ϑ0). If
[TABLE]
then
[TABLE]
The Fréchet derivative of Δ is determined from equation 2.7 to be the total differential operator
Let Δ=ut−K(t,x,u,ux,…,un) and let
R∞ be the infinite dimensional manifold which is the zero set of the prolongation of Δ=0
in J∞(R2,R). With coordinates (t,x,u,ux,uxx,…) on R∞
the embedding ι:R∞→J∞(R2,R) is given by
[TABLE]
where T and X are the restriction of Dt and Dx to R∞ given by,
[TABLE]
and satisfy [X,T]=0. The Pfaffian system I={θi}i≥0 on R∞ is generated by the pullback of ϑi in equation 2.1
[TABLE]
The forms
[TABLE]
form a coframe on R∞, and give rise to a vertical and horizontal splitting in
the complex of differential forms leading to the bicomplex Ωr,s(R∞), r=0,1,2 and s=0,1,…. For example if ω∈Ω1,2(R∞) then
[TABLE]
where α=aijθi∧θj and β=bijθi∧θj, aij,bij∈C∞(R∞). The bicomplex Ωr,s(R∞) is the pullback of the free bicomplex Ωr,s(J∞(R2,R)) by the embedding ι:R∞→J∞(R2,R).
The horizontal exterior derivative d\scaletoH4pt:Ωr,s(R∞)→Ωr+1,s(R∞) and vertical exterior derivative d\scaletoV4pt:Ωr,s(R∞)→Ωr,s+1(R∞) are computed from the equations,
[TABLE]
The horizontal and vertical differentials satisfy
[TABLE]
The structure equations of I are computed using 2.11 to be
[TABLE]
Since d\scaletoH4pt2=0, the complex d\scaletoH4pt:Ωr,s(R∞)→Ωr+1,s(R∞) is a differential complex and Hr,s(R∞) is its cohomology,
[TABLE]
The conservation laws of Δ are the d\scaletoH4pt closed forms in Ω1,0(R∞) and H1,0(R∞) is the space of equivalence classes of conservation laws modulo the horizontal derivative of a function d\scaletoH4ptf, f∈C∞(R∞).
The vertical complex d\scaletoV4pt:Ωr,s(R∞)→Ωr,s+1(R∞) is a differential complex whose cohomology is trivial [anderson:2016a], [anderson-kamran:1997a]. Specifically, d\scaletoV4pt is the ordinary exterior derivative in the variables ui, and the DeRham homotopy formula (in ui variables with parameter) applies. The property d\scaletoH4ptd\scaletoV4pt=−d\scaletoV4ptd\scaletoH4pt make d\scaletoV4pt:Hr,s(R∞)→Hr,s+1(R∞) a co-chain map up to sign, see Appendix A.
Remark 2.1**.**
Every function Q(t,x,u,ux,uxx,…,uk) on J∞(R2,R) factors through π:J∞(R2,R)→R∞,
π(t,x,u,ut,ux,utt,utx,uxx,…)=(t,x,u,ux,uxx,…) which is a left inverse of ι in equation 2.9. Therefore, by an abuse of notation, we view a function Q(t,x,u,ux,uxx,…,uk) either on J∞(R2,R) or R∞ where the context will determine which. For example,
[TABLE]
is a differential operator on J∞(R2,R) while
[TABLE]
is a differential operator on R∞ where π∗(FQ)=LQ .
A differential operator Eˉ=ri(t,x,u,ux,…)Xi on R∞ lifts to E=riDxi and π∗E=Eˉ. The formal adjoint of Eˉ acting on a form ω is (−Xi)i(riω). The operator Eˉ is skew-adjoint if and only if E is skew adjoint.
3. Canonical forms for H1,s(R∞) and characteristic forms
The universal linearization (see [anderson-kamran:1997a]) of Δ=ut−K(t,x,u,ux,…,un) on R∞ is the differential operator (on R∞),
[TABLE]
where Ki=∂uiK, and the vector fields T and X are defined in equation 2.10. The operator LΔ is the restriction of the Fréchet derivative of Δ to R∞. The adjoint of LΔ is given by
[TABLE]
This next theorem provides a normal form for a representative
of the cohomology classes in H1,s(R∞) and is analogous to Theorem 5.1 in [anderson-kamran:1997a].
Theorem 3.1**.**
Let ut=K(t,x,u,ux,…,un) be an nth order evolution equation and Hr,s(R∞) its cohomology. For any [ω]∈H1,s(R∞) there exists a representative,
[TABLE]
where ρ∈Ω0,s−1(R∞),β∈Ω0,s(R∞) and LΔ∗(ρ)=0.
Proof.
The proof follows Theorem 5.1 of [anderson-kamran:1997a]. Choose ω~0∈Ω1,s(J∞(R2,R)) such that
[TABLE]
where ι:R∞→J∞(R2,R) is given in equation 2.9.
Since ι∗(d\scaletoH4ptω~0)=0, it there exists ζ~ab∈Ω0,s(J∞(R2,R)),μ~ab∈Ω0,s−1(J∞(R2,R)) such that (see Lemma 5.2 in [anderson-kamran:1997a])
[TABLE]
Applying the identical integration by parts argument on page 292 [anderson-kamran:1997a] to 3.4, implies there exists ζ~∈Ω0,s(J∞(R2,R)),ρ~∈Ω0,s−1(J∞(R2,R)) and ω~∈Ω1,s(J∞(R2,R)) such that ω~=ω~0+d~\scaletoH4ptη~ and ι∗η~=0 (hence ι∗ω~=ω) and where
[TABLE]
We now apply ι∗∘J to equation 3.5, where J is defined in equation 2.4.
For the first term in right hand side of equation 3.5 we find
[TABLE]
since each term contains a total derivative of Δ, and these vanish under pullback to R∞.
We now apply ι∗∘J to the second term in the right hand side of 3.5,
[TABLE]
because ι∗(DtaDxid\scaletoV4ptΔ)=0. Now
[TABLE]
with all other ∂ua,i\raise0.5pt\vbox\hruleheight=0.4pt,width=6.0pt,depth=0.0pt\vruleheight=6.0pt,width=0.4pt,depth=0.0ptd\scaletoV4ptΔ=0, so that equation 3.7 becomes,
[TABLE]
By equation 2.5J(d\scaletoH4ptω~)=0, so that applying ι∗∘J to equation 3.5 implies ι∗J(d\scaletoV4ptΔ∧ρ~)=0, and so equation 3.8 gives LΔ∗(ι∗ρ~)=0.
We now turn to showing that equation 3.2 holds using the horizontal homotopy operator (equations 5.15, 5.16 and below 5.16 in [anderson-kamran:1997a]), see also proposition 4.12 page 117 of [anderson:2016a] or equation 5.133 in [Olver:1993a]. Using the notation h\scaletoH4ptr,s from [anderson:2016a], this operator satisfies
[TABLE]
Applying the pull back by ι to this formula gives the representative for [ω],
To utilize the formula in [anderson:2016a] for h\scaletoH4pt2,s let (x1=t,x2=x) and so for example ϑ1122=DxDxDtDtϑ0 and let k be the max of ∣I∣ (number of derivatives) of ϑI terms in (ϑt−Kiϑi)∧ρ. Then by definition 4.13 on page 117 in [anderson:2016a] (or 5.134 in [Olver:1993a])
[TABLE]
where (d\scaletoH4ptω~)j=Dxj\raise0.5pt\vbox\hruleheight=0.4pt,width=6.0pt,depth=0.0pt\vruleheight=6.0pt,width=0.4pt,depth=0.0ptd\scaletoH4ptω~=(−1)j+1dx^j∧(Δζ~+d\scaletoV4ptΔ∧ρ~), (x^1=x,x^2=t), I=(i1,…,il), ∣I∣=l, and
[TABLE]
Applying ι∗ to equation 3.10 we have the ι∗h\scaletoH4pt2,s(dt∧dx∧(Δζ~))=0 because all terms in 3.11 on Δζ~ involve total derivatives of Δ. Therefore using equation 3.10, equation 3.9 becomes,
[TABLE]
Consider the first term in equation 3.12. The only non-zero interior product is (with u(1)=ut,u(2)=ux etc.)
[TABLE]
since Δ does not depend on derivatives such as utx.
Therefore the only non-zero terms have ∣I∣=0,∣L∣=0 in the first term of 3.12 giving,
which produces equation 3.2 with ρ=s1ι∗ρ~ . Equations 3.14 and 3.8 shows that ρ=s1ι∗ρ~ satisfies LΔ∗(ρ)=0.
∎
If s=1 in Theorem 3.1, then ρ∈C∞(R∞) and is the characteristic function for the cohomology class [ω]∈H1,1(R∞), see Theorem 3.4 and Theorem A.1. In general ρ in equation 3.2 is called a characteristic form for [ω] see [anderson-kamran:1997a]. The form β in 3.2 is given in terms of ρ by formula 3.14 which is simplified in Theorem 3.4 for H1,1(R∞) and H1,2(R∞). The term dx∧θ0∧ρ in equation 3.2 generalizes the conserved density of a conservation law, and plays a critical role in Section 7.
Theorem 3.2**.**
For s≥3, H1,s(R∞)=0.
Proof.
Suppose ω is a representative for an
element of H1,s+1(R∞), (s≥2), in the form 3.2, where
ρ∈Ω0,s(R∞) is given by
[TABLE]
and satisfies LΔ∗(ρ)=0.
Suppose for ρ in 3.15 that the highest form order for (no sum) Am1…msθm1∧θm2∧…θms where we use max of (m1>m2>…>ms) to determine highest order. We first claim that in LΔ∗(ρ) the coefficient of θm1+n∧θm2∧…θms is
[TABLE]
and that the coefficient of θm1+n−1∧θm1∧…θms when m1>m2+1 is
[TABLE]
and when m1=m2+1 and n is odd, the coefficient of θm1+n−1∧θm1∧…θms
[TABLE]
Therefore if LΔ∗(ρ)=0 implies Am1…ms=0, then ρ=0 and ω=dt∧β. The condition d\scaletoH4ptω=0 gives X(β)=0. This implies β=0 since β∈Ω0,s+1(R∞) and so ω=0.
We compute LΔ∗(ρ)=−T(ρ)−(−X)i(Kiρ) to find equations 3.16,3.17,3.18,
[TABLE]
where from equation 2.15 we have T(θi)=Knθi+n+lowerorder. Consider also the highest order terms in while expanding Xn(KnAi1…isθi1∧…θis),
[TABLE]
The coefficient of θm1+n∧θm2∧…θms (which is the highest order) occurring in equation 3.19 comes from the second term on the right hand side in 3.19 and the first term on the last right hand side in equation 3.20 to give 3.16.
We consider the next highest order term in 3.19. From equation 3.19, the only possible term that can contain θm1+n−1∧θm2+1∧θm3…θms when m1>m2+1 is from second term on the last right hand side of equation 3.20. Therefore 3.20 produces 3.17.
In the case when m1=m2+1 we have the third term in 3.19 at highest order giving
[TABLE]
then using m1=m2+1 the first term equals
[TABLE]
From the other two terms on the last right hand side in equation 3.20 we have the two terms
[TABLE]
Combining equations 3.22 and using m1=m2+1 and n is odd in equation 3.23, gives equation 3.18.
∎
If ut=K(t,x,u,…,u2m) is an even order evolution equation, then H1,2(R∞)=0.
Proof.
We show that the only ρ∈Ω0,1(R∞) satisfying LΔ∗(ρ)=0 is ρ=0. Suppose ρ=riθi,i=0,…,k then by direct computation,
[TABLE]
which is non-zero unless rk=0. Therefore ρ=0.
∎
We now refine Theorem 3.1 which gives a formula for β in equation 3.2.
Theorem 3.4**.**
Let ut=K(t,x,u,ux,…,un) be an nth order evolution equation. For any [ω]∈H1,s(R∞), s=1,2 there exists a representative,
ω∈Ω1,s(R∞), s=1,2 such that
[TABLE]
where ρ∈Ω0,s−1(R∞) (s=1,2) satisfies θ0∧LΔ∗(ρ)=0. If s=1 then ρ∈C∞(R∞) and the representative 3.24 is unique.
Proof.
First suppose ρ∈Ω0,s−1(R∞) and satisfies θ0∧LΔ∗(ρ)=0, and let ω∈Ω1,s(R∞) be as in equation 3.24. We compute d\scaletoH4ptω,
[TABLE]
To compute X(β(ρ)) we need the telescoping identity,
[TABLE]
Using equation 3.26 in the formula for β(ρ) in equation 3.24 gives
[TABLE]
We then use
[TABLE]
so that together with equation 3.27, equation 3.25 becomes (adding and subtracting K0θ0∧ρ)
[TABLE]
Now by equation 2.7, ι∗d\scaletoV4pt(−Δ)=−T(θ0)+∑i=0nKiθi=0,
and so equation 3.28 becomes,
[TABLE]
Now by Theorem 3.4 there exists representative
ω^=dx∧θ0∧ρ−dt∧β
where L∗(ρ)=0. Let ω be the form in 3.24 using this ρ.
The form ω′=ω^−ω satisfies
[TABLE]
This implies X(β−β(ρ))=0, where β−β(ρ)∈Ω0,s(R∞),s=1,2. However, the only contact form satisfying this condition is the zero form. So β=β(ρ). This proves equation 3.24.
For the final statement in the theorem, suppose ωa=dx∧θ0⋅Qa−dt∧βa, a=1,2 where Qa∈C∞(R∞) and βa∈Ω0,1(R∞) satisfy [ω1]=[ω2]∈H1,1(R∞). This implies there exists ξ=gjθj such that ω1−ω2=d\scaletoH4ptξ so that
[TABLE]
Since X(θi)=θi+1, equation 3.30 can only be satisfied when Q1=Q2 and gj=0. Then the condition d\scaletoH4pt(ω1−ω2)=dx∧dt∧X(β1−β2)=0 implies X(β1−β2)=0 which in turn implies β1=β2 because β1−β2∈Ω0,1(R∞).
Therefore the form in equation 3.24 for s=1 is unique.
∎
The form ω in 3.24 was originally derived by a rather lengthy calculation of the second term in 3.14.
Corollary 3.5**.**
If [ω]∈H1,2(R∞) with ϵ=riθi,i=0,…,k and representative
[TABLE]
where ϵ∗=(−X)i(riθ0)=−ϵ, then LΔ∗(ϵ)=0 and β=β(ϵ) is given by equation 3.24.
Proof.
Write β=Babθa∧θb, and
choose in equation 3.3, ω~0=dx∧ϑ0∧ϵ~0−dt∧β~, where ϵ~0=riϑi,β~=Babϑa∧ϑb (see Remark 2.1).
Then there exists sab∈C∞(J∞(R2,R)) such that,
[TABLE]
since Dt(ϑ0)=d\scaletoV4ptΔ+Kmϑm. Now using equations 3.26 and 3.27 with X=Dx, ρ=ϑ0, Ki=ri, and θ0=d\scaletoV4ptα while adding and subtracting r0ϑ0∧d\scaletoV4ptΔ we have
[TABLE]
where
[TABLE]
and η~ satisfies ι∗η~0=0. Since ϵ∗=−ϵ, we have ϵ~0∗=−ϵ~0, and combining this with equation 3.31 and 3.32 we have
[TABLE]
Therefore comparing equations 3.34 with equation 3.5 we have ρ~=2ϵ~0. By equations 3.14 in the proof of Theorem 3.1, ρ=21ι∗ρ~=ϵ satisfies LΔ∗(ϵ)=0. Finally Theorem 3.4 implies β=β(ϵ).
∎
4. Canonical forms for H1,2(R∞)
By refining Theorem 3.1 we will produce a canonical form for elements of H1,2(R∞), by determining a unique representative. A form ρ∈Ω0,1(R∞) can always be written ρ=riXi(θ0). We define the adjoint of ρ by ρ∗=(−X)i(riθ0) while (ρ∗)∗=ρ because the operator riXi has this property, see Remark 2.1.
Theorem 4.1**.**
Let [ω]∈H1,2(R∞). There exists a unique representative having the form
[TABLE]
where ϵ∗=−ϵ, and β(ϵ) is given by the formula in 3.24 and θ0∧LΔ∗(ϵ)=0.
Proof.
We begin by utilizing equation 3.27 and make the substitution ρ=θ0, Ki=ri giving the identity,
Suppose now [ω]∈H1,2(R∞) with representative ω=dx∧θ0∧ρ−dt∧β(ρ) with ρ=riθi from Theorem 3.2. Let ω^=ω−21d\scaletoH4pt(η) so that [ω^]=[ω] and where η is given in equation 4.3. We then use equation 4.4 to replace X(η) in the following,
[TABLE]
The representative ω^ in 4.5 satisfies the skew adjoint condition in the theorem with
We now show the representative 4.1 unique. Suppose that
[TABLE]
where ϵα∗=−ϵα and [ω1]=[ω2]. This implies
there exists ξ=ξabθa∧θb∈Ω0,2(R∞) such that
[TABLE]
Now let ϵ~α=ri,αϑi∈Ω0,1(J∞(R2,R)) and ξ~=ξabϑa∧ϑb∈Ω0,2(J∞(R2,R)) so that ι∗ϵ~α=ϵα, ι∗ξ~=ξ. Equation 4.7 implies
[TABLE]
Applying the integration by parts operator I (using 6.2) to equation 4.8 and that ϵ~α∗=−ϵ~α gives
[TABLE]
Since ϵ~1−ϵ~2 is skew-adjoint, this implies ϵ~1=ϵ~2
and that ϵ1=ϵ2. This implies β(ϵ1)=β(ϵ2) and so ω1=ω2.
∎
Corollary 4.2**.**
If [ω]∈H1,2(R∞) with representative ω=dx∧θ0∧ρ−dt∧β(ρ) then the unique representative in Theorem 4.1 has
[TABLE]
We now refine Theorem 3.1 and provide a third (non-unique) normal form.
Theorem 4.3**.**
Let [ω]∈H1,2(R∞) then there exists a representative ω such that
[TABLE]
where Q is a smooth function on R∞ and γ∈Ω0,1(R∞).
Proof.
We start with equation 3.2 in Theorem 3.1
where a representative for [ω] can be written
[TABLE]
where w.l.o.g. ρ=raθa,a=1,…,m. Now d\scaletoV4ptω∈H1,3(R∞), and so by Theorem 3.2 there exists ξ∈Ω0,3(R∞) such that
[TABLE]
Writing ξ=Aijkθi∧θj∧θk, this gives
[TABLE]
We now show ξ has the form
[TABLE]
Suppose there is a term in ξ with θM1∧θM2∧θM3, 1≤M1<M2<M3, and assume we have the one with the highest M3. On the left
side of 4.11 there will be
[TABLE]
which contains dx∧θM1∧θM2∧θM3+1, which
can’t occur on the right side since there is no θ0. Suppose now that there are terms in ξ of the form θ0∧θM2∧θM3
with 1<M2<M3. Consider the maximal M3, and again
[TABLE]
will contain a term dx∧θ0∧θM2∧θM3+1 which can’t occur on the right hand side of equation 4.11. This shows equation 4.12.
Now
[TABLE]
but since ξ∈Ω0,3(R∞), this implies d\scaletoV4ptξ=0. We apply vertical exactness, and let ζ∈Ω0,2(R∞) be such that
d\scaletoV4ptζ=ξ. By the vertical homotopy on ξ we may assume ζ=Aθ0∧θ1
Finally, we let
[TABLE]
where ρ~=ρ+X(Aθ1∧) and β~=β−T(ζ). Therefore,
[TABLE]
This proves there is a representative ω~ for [ω] with d\scaletoV4ptω~=0.
Again we use d\scaletoV4pt exactness to find η∈Ω1,1(R∞) such that,
[TABLE]
where
[TABLE]
Writing α=ajθj, j=0,…,m, equation 4.14 and 4.15 give
[TABLE]
We now modify η in equation 4.15 and the representative ω~ for [ω] in equation 4.13 by
[TABLE]
so that ω^=d\scaletoV4ptη^. In particular we note
[TABLE]
Continuing by induction, there exists a representative ωˉ for [ω] and an ηˉ∈Ω1,1(R∞), where ωˉ=d\scaletoV4ptηˉ and
[TABLE]
where Q is a smooth function on R∞. This also implies
[TABLE]
∎
Combining Theorem 4.3 and Corollary 4.2 gives the following.
Corollary 4.4**.**
If [ω]∈H1,2(R∞) with representative ω=d\scaletoV4pt(dx∧θ0⋅Q−dt∧γ) from Theorem 4.3 then the unique representative in Theorem 4.1 is determined by
[TABLE]
where LQ=QiXi.
The snake lemma from the variational bicomplex is the following.
Lemma 4.5**.**
Let ω∈Ω1,2(R∞) and d\scaletoH4ptω=0, d\scaletoV4ptω=0. Let η∈Ω1,1(R∞) such that d\scaletoV4ptη=ω. Then
there exists λ=Ldt∧dx∈Ω2,0(R∞) such that
d\scaletoH4ptη=d\scaletoV4ptλ.
Proof.
We have
[TABLE]
and the vertical exactness of the bicomplex immediately implies the lemma.
∎
The relationship between ω, λ and η in Lemma 4.5 is represented by the diagram,
[TABLE]
Corollary 4.6**.**
Let [ω]∈H1,2(R∞) and let ω be the d\scaletoV4pt closed representative from equation 4.10, and let λ∈Ω2,0(R∞) be as in Lemma 4.5, so that d\scaletoH4ptη=d\scaletoV4ptλ.
The linear map Λ:H1,2(R∞)→H2,0(R∞) given by
[TABLE]
is well defined.
Proof.
Suppose ωa∈Ω1,2(R∞),a=1,2 where [ω1]=[ω2] and that ωa=d\scaletoV4ptηa,a=1,2 are two d\scaletoV4pt closed representatives. Let λa∈Ω2,0(R∞) satisfy d\scaletoH4ptηa=d\scaletoV4ptλa,a=1,2. Since [ω1]=[ω2], there exists ξ∈Ω0,2(R∞) such that,
[TABLE]
This implies d\scaletoV4ptd\scaletoH4ptξ=−d\scaletoH4ptd\scaletoV4ptξ=0 which then implies d\scaletoV4ptξ=0 since H0,2(R∞)=0 (or d\scaletoH4ptμ=0,μ∈Ω0,s(R∞) implies μ=0). Therefore there exists ϕ∈Ω0,1(R∞) such that
[TABLE]
which implies
[TABLE]
and that
[TABLE]
By vertical exactness there exists κ∈Ω1,1(R∞) such that
[TABLE]
Taking d\scaletoH4pt of this equation gives
[TABLE]
so
[TABLE]
Therefore
[TABLE]
where μ∈Ω2(R2). The deRham cohomology of R2 is trivial so μ=dα=d\scaletoH4ptα,α∈Ω1(R2). Therefore equation 4.19 becomes
[TABLE]
and [λ1]=[λ2]∈H2,0(R∞).
∎
The relevance of the kernel of Λ is given in Theorem A.4.
5. Variational Operators and H1,2(R∞)
A scalar evolution equation with Δ=ut−K(t,x,u,ux,…,un) is said to admit a variational operator of order k if there exists a differential operator
[TABLE]
rk=0, and a function L∈C∞(R2,R) such that,
[TABLE]
where E(L) is the Euler-Lagrange expression of L∈C∞(J∞(R2,R)). We will prove a generalization of Theorem 2.6 in [anderson-thompson:1992a] which relates the existence of a multiplier (or zero order operator) to the cohomology of Δ. We start with the following theorem.
Theorem 5.1**.**
Let E=riDxi be a variational operator for Δ=ut−K(t,x,u,ux,…,un) with Lagrangian L satisfying 5.1. Then there exists η∈Ω1,1(J∞(R2,R)) such that
Suppose E and L are given satisfying 5.1, then using the standard formula in the calculus of variations (for example equation (3.2) in [anderson:1992a]), we have on account of 5.1
Letting ω=d\scaletoV4ptι∗η, we compute d\scaletoH4ptω using equation 5.4 and get
[TABLE]
Therefore d\scaletoH4ptω=0.
∎
A formula for ω in terms of E in Theorem 5.1 is given in Theorem 5.3 just below. Before giving the theorem we note the following property of variational operators for evolutions equations.
Lemma 5.2**.**
If Δ=ut−K(t,x,u,ux,…,un) admits the kth order variational operator E=ri(t,x,u,ux,…)Dxi,i=0,…,k then E is skew adjoint.
Proof.
Suppose E(ut−K)=E(L) then applying I∘d\scaletoV4pt to equation 5.2 using d\scaletoV4pt2=0 along with the property 2.5 for I, we have
In the term ∂ua,j\raise0.5pt\vbox\hruleheight=0.4pt,width=6.0pt,depth=0.0pt\vruleheight=6.0pt,width=0.4pt,depth=0.0ptκ where κ is given in equation 5.6
we note that ∂ua,j(rj)=0,∂ua,j(K)=0,a≥1,j≥0. Therefore
the only possible non-zero terms in the summation term in equation 5.7 with ∂ua,j\raise0.5pt\vbox\hruleheight=0.4pt,width=6.0pt,depth=0.0pt\vruleheight=6.0pt,width=0.4pt,depth=0.0pt with a≥1,j≥0 satisfy
[TABLE]
Writing the condition I(dt∧dx∧ϑ0∧κ)mod{ϑj}j≥0 using equation 5.7 and 5.8 gives
[TABLE]
In order for the right side of equation 5.9 to be zero we must have E∗=−E.
∎
Theorem 5.3**.**
Let E=ri(t,x,u,ux,…)Dxi,i=0,…,k be a kth order variational operator for Δ=ut−K(t,x,u,ux,…,un) and let [d\scaletoV4ptι∗η]∈H1,2(R∞) from Theorem 5.1. Then the unique representative for [d\scaletoV4ptι∗η] in Theorem 4.1 is
[TABLE]
Proof.
Let ω^0=d\scaletoV4ptη~ where η satisfies equation 5.3. We have
from equations 5.3 and 3.32
[TABLE]
where η~ is given in equation 3.33 and satisfies ι∗η~=0.
As remarked in the
proof of Theorem 3.1, the term Dxi(Δ)d\scaletoV4ptri∧ϑ0 in 5.11
does not contribute to the form ρ~ in equation 3.5. Therefore we have
from equation 5.11 that ρ~ in equation 3.5 is,
[TABLE]
Since ρ=21ι∗ρ~ and E is skew-adjoint we get equation 5.10.
∎
We now come to the last main theorem in this section which proves the converse to Theorem 5.1.
The proof is again a generalization of the argument given in Theorem 2.6 of [anderson-thompson:1992a] for the multiplier problem.
Theorem 5.4**.**
Let [ω]∈H1,2(R∞) with representative ω as in equation 4.10 in Theorem 4.3 given by
[TABLE]
where
[TABLE]
Let λ=Ldt∧dx satisfying d\scaletoH4ptη=d\scaletoV4ptλ from Lemma 4.5.
Then E=FQ∗−FQ is a variational operator and,
[TABLE]
The proof requires considerable care whether we are working on R∞ or J∞(R2,R), see Remark 2.1.
Proof.
We start by writing γ=gjθj in equation 5.13 and define the form
η~∈J∞(R2,R)) given by
[TABLE]
where ι∗η~=η in equation 5.13, and the forms ϑj are defined in 2.1. Now define the vector fields on J∞(R2,R),
[TABLE]
so that Dt=T~+V,Dx=X~+W. Then
[TABLE]
Since gj=gj(t,x,u,ux,…) then W(gj)=0, while dt∧dx∧Dx(ϑj)=dt∧dx∧X~(ϑj) and V(ϑ0)=d\scaletoV4ptΔ. Equation 5.16 then can be written,
[TABLE]
The condition d\scaletoH4ptη=d\scaletoV4ptλ (on R∞) is
[TABLE]
on R∞. Now π∗dt∧dx∧θj=dt∧dx∧ϑj (see Remark 2.1), and using
the vector fields in 5.15 we have
[TABLE]
Therefore applying π∗ to 5.18 and using 5.19 we have
[TABLE]
The first variational formula for d\scaletoV4pt(Ldt∧dx) on J∞(R2,R) applied to the right side of 5.20 gives
[TABLE]
where ζ~∈Ω1,1(J∞(R2,R)). Inserting equation 5.21 into 5.17 we have,
[TABLE]
The terms d\scaletoV4ptΔ⋅Q in equation 5.22 can be written as
[TABLE]
We now apply the integration by parts operator (see equation 2.8 in [anderson:1992a])
and use the first variational formula for d\scaletoV4pt(QΔdt∧dx), in equation 5.23 and
get
[TABLE]
Next we expand the term V(Q) in equation 5.22 using V in 5.15 and
[TABLE]
Inserting 5.24, and 5.25 into 5.22 and letting ζ~=ζ~1+ζ~2 gives,
[TABLE]
This implies d\scaletoH4pt(η~−ζ~) is a source-form. This is only possible if d\scaletoH4pt(η~−ζ~)=0, and so
In general three applications of the vertical homotopy operator are required to determine λ∈Ω2,0(R∞) from
[ω]∈H1,2(R∞). The first is to find a representative ω∈H1,2(R∞) with d\scaletoV4ptω=0 (Theorem 4.3). The second is to find η such that d\scaletoV4ptη=ω, and the third is to find λ such that d\scaletoV4ptλ=d\scaletoH4ptη.
We now have the following corollaries.
Corollary 5.6**.**
Let [ω]∈H1,2(R∞) with unique representative ω=dx∧θ0∧ϵ−dt∧β(ϵ), ϵ=riθi as in Theorem 4.1. Then Δ admits E=−2riDxi as a variational operator.
Proof.
Starting with equation 5.12, Corollary 4.4 implies
[TABLE]
Equation 5.26 together with the fact FQ=QiDxi gives ϵ=ι∗21(FQ−FQ∗)(ϑ0)=riθi, we have E=FQ∗−FQ=−2riDxi is a variational operator by Theorem 5.4.
∎
Corollary 5.7**.**
Let [ω]∈H1,2(R∞) with ω=dx∧θ0∧(riθi)−dt∧β(ρ) as in Theorem 3.1. Then Δ admits
[TABLE]
as a variational operator.
Proof.
By Corollary 4.2 the unique representative
ω^=dx∧θ0∧ϵ−dt∧β(ϵ) has ϵ=21(ρ−ρ∗)=21(riθi−(−Xi)(riθ0)). Therefore by Corollary 5.6, E in equation 5.27 is a variational operator.
∎
Finally we may also restate Theorem 5.4 without reference to the equation manifold R∞ as follows.
Corollary 5.8**.**
The operator E=ri(t,x,u,ux,…)Dxi, i=0,…,k is a variational operator for ut=K if and only if there exists Q(t,x,u,ux,uxx,…) and L(t,x,u,ux,uxx,…) such that
[TABLE]
Lastly we combine the results of Theorems 5.1 and 5.4 to prove Theorem 1.1.
Proof.
(Theorem 1.1) Define the linear transformation Φ^:H1,2(R∞)→Vop(Δ)
using Theorem 4.1 by
[TABLE]
where ϵ=riθi and is skew-adjoint. By Corollary 5.6Φ([ω])∈Vop(Δ).
We check Φ^=Φ−1. With E=−2riDxi a variational operator, let ϵ=riθi we have from equation 1.4 (or Theorem 5.3) and equation 5.29,
[TABLE]
and
[TABLE]
Therefore Φ in equation 1.4 is invertible with Φ^ in equation 5.29 as the inverse.
∎
6. Functional 2-Forms, Symplectic Forms and Hamiltonian Vector Fields
In this section we quickly review the space of functional forms on J∞(R,R) as in [anderson:2016a], [anderson:1992a] and relate these to symplectic forms and symplectic operator.
6.1. Functional Forms
On the space J∞(R,R) with coordinates (x,u,ux,…,ui,…)
the contact forms are θi=dui−ui+1dx and Dx=∂x+ux∂u+…ui+1∂ui+… is the total x derivative operator. Again Ωr,s(J∞(R,R)) denotes the r horizontal, s vertical forms on J∞(R,R). The horizontal and vertical differentials d\scaletoH4pt:Ωr,s(J∞(R,R))→Ωr+1,s(J∞(R,R)), d\scaletoV4pt:Ωr,s(J∞(R,R))→Ωr,s+1(J∞(R,R)), satisfy
[TABLE]
where f∈C∞(J∞(R,R)). Since d=d\scaletoH4pt+d\scaletoV4pt this implies,
[TABLE]
The integration by parts operator I:Ω1,s(J∞(R,R))→Ω1,s(J∞(R,R)) is
The space of functional s forms (s≥1) on J∞(R,R), Fs(J∞(R,R))⊂Ω1,s(J∞(R,R)), is defined to be the image of Ω1,s(E) under I,
[TABLE]
By definition 6.3, equation 6.1 shows that any Σ∈Fs(E) can always be written,
[TABLE]
However, not every differential form Σ∈Ω1,s(J∞(R,R)) written as 6.4 is in the space Fs(J∞(R,R)). In the case of F2(J∞(R,R)) the following is easy to show using the definition of I in 6.1, see also Proposition 3.7 in [anderson:2016a].
Lemma 6.1**.**
Let Σ∈F2(J∞(R,R)), then there exists a unique skew-adjoint differential operator, S=siDxi such that,
[TABLE]
The differential δ\scaletoV4pt:Fs(J∞(R,R))→Fs+1(J∞(R,R)) is defined by
[TABLE]
where we let F0(J∞(R,R))=Ω1,0(J∞(R,R)). This leads to the differential complex
[TABLE]
which is exact and is known as the Euler complex, see Theorem 2.7 [anderson:1992a].
6.2. Symplectic Forms, Symplectic Operators, and Hamiltonian Vector Fields
Let Γ be the Lie algebra of prolonged evolutionary vector fields on J∞(R,R). We begin
by recalling the appropriate definitions (see Section 2.5 [dorfman:1993a]).
Definition 6.2**.**
An element Σ∈F2(J∞(R,R)) is a symplectic form on Γ if Σ=0 and δ\scaletoV4pt(Σ)=0. A skew adjoint differential operator S=siDxi is symplectic if dx∧θ0∧S(θ0) is a symplectic form.
Definition 6.2 combined with Lemma 6.1 shows there is a one-to-one correspondence between symplectic forms and symplectic operators. We now defines Hamiltonian vector fields.
Definition 6.3**.**
Let Σ be a symplectic form. A vector field Y∈Γ is Hamiltonian if
[TABLE]
Definition 6.3 is equivalent to Σ being invariant under the flow of Y on F2(J∞(R,R)) as shown in the following theorem.
Theorem 6.4**.**
Let Σ be a symplectic form. An evolutionary vector field Y∈Γ is Hamiltonian with respect to Σ if and only if
[TABLE]
where L♮=I∘π1,2∘L is the projected Lie derivative on F2(J∞(R,R)), see Theorem 3.21 in [anderson:2016a].
Proof.
Using Lemma 3.24 in [anderson:2016a] and the fact that δ\scaletoV4ptΣ=0, we have
[TABLE]
By the first property in equation 6.2, I∘d\scaletoV4pt∘I=I∘d\scaletoV4pt, so conditions 6.7 and 6.8 are equivalent through equation 6.9.
∎
We now write out definition 6.3 in a more familiar form. The exactness of the Euler complex and the condition δ\scaletoV4pt∘I(Y\raise0.5pt\vbox\hruleheight=0.4pt,width=6.0pt,depth=0.0pt\vruleheight=6.0pt,width=0.4pt,depth=0.0ptΣ)=0 implies there exists λ=2Hdx∈F0(J∞(R,R)) such that
[TABLE]
Writing Y=pr(K∂u) and Σ=dx∧θ0∧S(θ0) where S=siDxi is a skew-adjoint differential operator. The left side of equation 6.10 is then
[TABLE]
Using this computation in 6.10 shows that condition 6.7 (or 6.8) is then equivalent to the
following.
Corollary 6.5**.**
Let Σ be a symplectic form with corresponding symplectic operator S. The evolutionary vector field
Y=pr(K∂u)∈Γ is Hamiltonian if and only if there exists H∈C∞(J∞(R,R)) such that
[TABLE]
Corollary 6.5 just shows that Definition 6.3 agrees with the standard symplectic Hamiltonian formulation for time independent evolution equations [dorfman:1993a].
6.2.1. Symplectic Potential
If Σ is a symplectic form, the exactness of the δ\scaletoV4pt complex implies there exists ψ∈F1(J∞(R,R)) such that Σ=δ\scaletoV4pt(ψ). The functional form ψ is a symplectic potential for Σ.
Lemma 6.6**.**
Let Σ∈F2(E) be symplectic (and so δ\scaletoV4pt closed), then there exists a smooth function P∈C∞(J∞(R,R)) such that
[TABLE]
where FP=PiDxi is the Fréchet derivative of P.
Proof.
A symplectic potential ψ∈F1(J∞(R,R)) for Σ can be written using 6.4 as
[TABLE]
Writing Σ=δ\scaletoV4ptψ and using equation 6.14 produces 6.13.
∎
The Hamiltonian condition on Y∈Γ in terms of a symplectic potential ψ is the following.
Lemma 6.7**.**
The evolutionary vector field Y∈Γ is Hamiltonian for the symplectic form Σ=δ\scaletoV4ptψ if and only if there exists λ∈F0(J∞(R,R)) such that
[TABLE]
Proof.
Using the exactness of the δ\scaletoV4pt complex we show δ\scaletoV4ptLY♮ψ=0 which is equivalent to equation 6.15. By Theorem 6.4, Y is Hamiltonian if and only if
[TABLE]
where we have used LY♮∘δ\scaletoV4pt=δ\scaletoV4pt∘LY♮ (Lemma 3.24 [anderson:2016a]). This proves the Lemma.
∎
Using either Lemma 6.7 or equations 6.13 and 6.4 we have the following simple corollary.
Corollary 6.8**.**
Let Σ be a symplectic form with symplectic potential ψ=dx∧θ0⋅P. The evolutionary vector field
V=pr(K∂u)∈Γ is Hamiltonian if and only if there exists H∈C∞(J∞(R,R)) such that
[TABLE]
where FP is the Fréchet-derivative of P on J∞(R,R).
A straight forward computation writing Σ=δVψ classifies the first order symplectic operators, see also Theorem 6.2 in [dorfman:1993a]
Lemma 6.9**.**
An element Σ∈F2(J∞(R,R)) of the first order form,
[TABLE]
is symplectic, if and only if there exists P(x,u,ux,uxx)∈C∞(J∞(R,R))
depending on up to second order derivative, such that
[TABLE]
6.3. Time Dependent Systems
Most of the definitions and results from Sections 6.1 and 6.2 extend immediately to the case of time dependent systems. Let E=R×J∞(R,R), and label the extra R with the parameter t. The contact forms are
[TABLE]
and we let Ωtsbr,s(E) be the bicomplex of t semi-basic forms on E,
[TABLE]
A generic form ω∈Ωtsb1,2(E) is given by
[TABLE]
The anti-derivations d\scaletoH4pt\scaletoE4pt:Ωtsbr,s(E)→Ωtsbr+1,s(E) and d\scaletoV4pt\scaletoE4pt:Ωtsbr,s(E)→Ωtsbr,s+1(E) are determined by
[TABLE]
and satisfy (d\scaletoH4pt\scaletoE4pt)2=0,(d\scaletoV4pt\scaletoE4pt)2=0,d\scaletoH4pt\scaletoE4ptd\scaletoV4pt\scaletoE4pt+d\scaletoV4pt\scaletoE4ptd\scaletoH4pt\scaletoE4pt=0. However d=d\scaletoH4pt\scaletoE4pt+d\scaletoV4pt\scaletoE4pt. The integration by part operator I induces a map I\scaletoE4pt:Ωtsbr,s(E)→Ωtsbr,s(E) having the formula 6.1 and properties 6.2. We let
[TABLE]
The mapping δ\scaletoV4pt\scaletoE4pt=I\scaletoE4pt∘d\scaletoV4pt\scaletoE4pt gives rise to the exact sequence as in 6.6. A form
Σ∈Ftsb2(E) is symplectic if δ\scaletoV4pt\scaletoE4ptΣ=0 and Lemma 6.6 becomes the following.
Lemma 6.10**.**
An element Σ=dx∧θ\scaletoE4pt0∧S(θ\scaletoE4pt0)∈Ftsb2(E) where S=siDxi, and si∈C∞(E) is symplectic if and only if there exists P∈C∞(E) such that
[TABLE]
where LP=PiDxi.
We use Theorem 6.4 to define Hamiltonian vector fields in this case.
Definition 6.11**.**
An evolutionary vector field Y=pr(K∂u) where K∈C∞(E) is Hamiltonian with respect to the symplectic form Σ∈Ftsb2(E) if
[TABLE]
where T=∂t+Y and LT♮=I\scaletoE4pt∘π1,2∘LT is the projected Lie derivative.
Note that T in Definition 6.11 agrees with T in equation 2.10. We can also write condition 6.23 as follows.
Lemma 6.12**.**
An evolutionary vector field Y=pr(K∂u) is a Hamiltonian vector field
for the symplectic form Σ=dx∧θ\scaletoE4pt0∧(siθ\scaletoE4pti) if and only if
there exists ξ∈Ω0,2(E) such that
[TABLE]
Proof.
We have kernelI\scaletoE4pt=Imaged\scaletoH4pt\scaletoE4pt, therefore equation 6.23 can be written as equation 6.24.
∎
A formula for ξ in equation 6.24 in terms of ρ=siθ\scaletoE4pti is given in the proof of Theorem 7.5.
The analogue to Lemma 6.7 also holds in this case where Y is replaced by T. In order to prove this we now show the commutation formula in equation 6.16 holds where Y is replaced by T.
Lemma 6.13**.**
LT♮δ\scaletoV4ptψ=δ\scaletoV4ptLT♮ψ.
Proof.
Since T=∂t+Y and LY♮δ\scaletoV4ptψ=δ\scaletoV4ptLY♮ψ (Lemma 3.24 [anderson:2016a]), we need to check
[TABLE]
We write out both side of this equation. The left side is
[TABLE]
The right side is
[TABLE]
Since the mixed partials are equal Pt,i=Pi,t, equations 6.25 and 6.26 are equal, which proves the Lemma.
∎
Lemma 6.14**.**
The evolutionary vector field Y∈Γ is Hamiltonian for the symplectic form Σ=δ\scaletoV4pt\scaletoE4ptψ if and only if there exists λ∈F0(E) such that
[TABLE]
Proof.
Using the exactness of the δ\scaletoV4pt\scaletoE4pt complex we show δ\scaletoV4pt\scaletoE4ptLT♮ψ=0 which is equivalent to equation 6.27. By Definition 6.11, Y is Hamiltonian if and only if
[TABLE]
where we have used Lemma 6.13. This proves the Lemma.
∎
Using Lemma 6.14 we have the following corollary which is the t-dependent version of Corollary 6.8.
Corollary 6.15**.**
Let Σ=dx∧θ\scaletoE4pt0∧S(θ\scaletoE4pt0) be a symplectic form with symplectic potential ψ=dx∧θ0⋅P. The evolutionary vector field
Y=pr(K∂u)∈Γ is Hamiltonian if and only if there exists H∈C∞(J∞(R,R)) such that
[TABLE]
Proof.
We just need to compute
[TABLE]
Using this computation in equation 6.27 with λ=2Hdx gives equation 6.28.
∎
A symplectic form Σ is t-invariant if L∂tΣ=0. In this case Σ determines a well defined symplectic form Σˉ on the quotient by the flow of ∂t, q:E→E/∂t=J∞(R,R) such that q∗Σˉ=Σ. Definition 6.3 where Y and Σ are t-invariant implies equation 6.11 for Σˉ and Yˉ=q∗Y.
7. Variational and Symplectic Operator Equivalence
A time independent evolution equation ut=K(x,u,ux,…,un) is Hamiltonian [dorfman:1993a] if there exists a symplectic operator S and a function H called the Hamiltonian such that equation 1.5 holds. With this definition, the determination of the symplectic Hamiltonian equations is typically approached in two ways. The first way consists of determining the possible symplectic operators of a certain order [dorfman:1993a]. Then for a given class of symplectic operators S, determine K which satisfy equation 1.5. The second approach starts with a given K and then determines if there exists a symplectic operator S such that equation 1.5 holds.
By comparison Theorem 1.3 combines these two questions and resolves the characterization of symplectic Hamiltonian evolution equations by the invariants H1,2(R∞). This simultaneously solves the existence of S and the existence of the Hamiltonian function H in 1.5.
7.1. H1,2(R∞) and Symplectic Hamiltonian Evolution Equations.
Given a scalar evolution equation ut=K(t,x,u,ux,…), identify the manifolds R∞ and E=R×J∞(R,R) by identifying their coordinates which in turn induces an identification of smooth functions. Define the bundle map Π:T∗(R∞)→T∗(E) which is a projection operator by
[TABLE]
where θi are given in equation 2.11 and θ\scaletoE4pti are in equation 6.19.
Also denote by Π the induced projection map Π:Ωr,s(R∞)→Ωtsbr,s(E) where
for example
[TABLE]
Lemma 7.1**.**
The map Π:Ωr,s(R∞)→Ωtsbr,s(E) is a bicomplex homomorphism,
[TABLE]
Proof.
Equation 7.3 follows for the case ω=θi directly from equations 2.14 and 6.20,
and generically from the anti-derivation property of the operators.
∎
Lemma 7.2**.**
The function Π:Ω1,2(R∞)→Ωtsb1,2(E) induces a well defined injective linear map Π:H1,2(R∞)→kerδ\scaletoV4pt\scaletoE4pt⊂Ftsbi(E) defined by
[TABLE]
where ω is a representative of [ω].
Proof.
To show Π is well defined, suppose ω′=ω+d\scaletoH4ptξ. Then by equation 7.3 and property 3 in equation 6.2 applied to I\scaletoE4pt gives
[TABLE]
Therefore Π is well defined.
We now show Π([ω]) is δ\scaletoE4pt\scaletoV4pt closed. We use equation 7.3 and compute
[TABLE]
Since d\scaletoV4ptω∈H1,3(R∞), Theorem 3.2 implies there exists ξ∈Ω0,3 such that d\scaletoV4ptω=d\scaletoH4ptξ so equation 7.5 becomes
[TABLE]
Therefore Π([ω]) is δ\scaletoV4pt closed.
We now show Π is injective. Let [ω]∈H1,2(R∞) and let ω=dx∧θ0∧ϵ−dt∧β(ϵ) be the unique representative from Theorem 4.1, where ϵ=riθi and ϵ∗=−ϵ. Then Π([ω])=dx∧θ\scaletoE4pt0∧(siθ\scaletoE4pti), and (siθ\scaletoE4pti)∗=−(siθ\scaletoE4pti) since X=Dx. If Π([ω])=0, then siθ\scaletoE4pti=0
and ω=0. This shows Π([ω])∈Ftsb2(E) and that Π is injective.
∎
In particular we have
Corollary 7.3**.**
If [ω]=0 then Π([ω])∈Ftsb2(E) is a symplectic form.
We now set out to prove the fact that Π in Lemma 7.2 is in fact a bijection which will imply Theorem 1.2 in the Introduction. We will use the following Lemma.
Lemma 7.4**.**
Let si,ξij∈C∞(R∞) then
[TABLE]
Proof.
Since dt∧θ\scaletoE4pti=dt∧θi and X=Dx these identities follow.
∎
We now have the main theorem.
Theorem 7.5**.**
Let S=siDxi be a skew-adjoint differential operator. The form Σ=dx∧θ\scaletoE4pt0∧(siθ\scaletoE4pti) is symplectic, and Y=pr(K∂u) is a Hamiltonian vector-field for Σ if and only if
[TABLE]
satisfies d\scaletoH4ptω=0, where ϵ=S(θ0).
Proof.
Supposed Σ is symplectic and Y is Hamiltonian, then Lemma 6.12 produces ξ=ξabθ\scaletoE4pta∧θ\scaletoE4ptb satisfying equation 6.24. Let
Therefore [ω]∈H1,2(R∞). Now Corollary 3.5 implies ξabθa∧θb=−β(siθi) so that ω in equation 7.8 and equation 7.7 are the same.
Suppose now that ω in equation 7.7 is dH closed. By Lemma 7.2, Σ=Π(ω) is a symplectic form. So we need only show that Y is Hamiltonian. Again we refer to Lemma 6.12 and show the existence of ξ=ξabθ\scaletoE4pta∧θ\scaletoE4ptb in equation 6.24.
Writing β(siθi)=Babθa∧θb and using equations 7.6 we have
[TABLE]
This will vanish if and only if
[TABLE]
because this term is t semi-basic. Equation 7.10 produces ξ=−Π(β(siθi))=Babθ\scaletoE4pta∧θ\scaletoE4ptb in equation 6.24 and therefore Y is a Hamiltonian vector field for Σ.
∎
We now summarize the results by the following Theorem whose proof follows directly from Lemma 7.2 and Theorem 7.5
Theorem 7.6**.**
Let ut=K be an evolution equation, and let Y=pr(K∂u) be the evolutionary vector field on E and let ZY(E)⊂Ftsb2(E) be the subset of symplectic forms for which Y is a Hamiltonian vector field. Define the function Ψ:ZY(E)→H1,2(R∞) given by
[TABLE]
where dx∧θ\scaletoE4pti∧ϵ\scaletoE4pt∈ZY(E) with ϵ\scaletoE4pt=S(θ\scaletoE4pt0) and S=siDxi is the corresponding symplectic operator, and ϵ=S(θ0)=siXi(θ0). The function Ψ:ZY(E)→H1,2(R∞) is an isomorphism and Ψ^=Ψ−1 where Ψ^ is defined in equation 7.4.
With Theorems 1.1 and 7.6 in hand the proof of Theorem 1.2 and 1.3 are now easily given.
Proof.
(Theorems 1.2 and 1.3)
Suppose that S=siDxi∈ZY(E) is a symplectic operator for
the scalar evolution equation Δ=ut−K and that Y=pr(K∂u) is a Hamiltonian vector field for Σ. Then with Ψ from equation 7.11 in Theorem 7.6 and Φ in equation 1.4 in Theorem 1.1 we have,
[TABLE]
is a variational operator and so S is a variational operator for Δ (by the abuse of notation in Remark 2.1). The fact that Φ−1∘Ψ is an isomorphism then proves Theorem 1.2.
As above we identify a symplectic operator S on E as an operator on J∞(R2,R), then the function Φ in equation 1.4 defines an isomorphism between symplectic operators for Δ and H1,2(R∞). This proves Theorem 1.3.
∎
As our final Lemma we show for completeness how formula 5.14 can be determined from the symplectic potential.
Lemma 7.7**.**
Let S=siDxi be a symplectic operator and
let ψ=dx∧θE0⋅P∈C∞(E) be a symplectic potential. The unique representative for Ψ(S)∈H1,2(R∞) in Theorem 5.3
has ϵ=S(θ0). Furthermore there exists a representative ω for Ψ(S) where ω in equation 5.12 can be written ω=d\scaletoV4ptη where
[TABLE]
Proof.
By equation 7.11 of Theorem 7.6 we have the unique representative as stated in the Lemma.
To prove the second part of the lemma by using Theorem 4.3 to construct a representative ω0 for Ψ(S) such that ω0=d\scaletoV4ptη0 with η0=dx∧θ0⋅Q−dt∧γ0.
By equation 4.17 of Corollary 4.4 and equation 6.22 for the operator in the form ϵ=S(θ0) gives
[TABLE]
Lemma 6.10 and equation 7.13 show ψ0=dx∧θ\scaletoE4pt0⋅Q is a symplectic potential for S and that δ\scaletoV4pt\scaletoE4ptψ0=δ\scaletoV4pt\scaletoE4ptψ. Therefore using equation 6.2 (for I\scaletoE4pt) and
the exactness of the d\scaletoV4pt\scaletoE4pt complex,
[TABLE]
for some A∈C∞(E) and ξ∈Ω0,1(E). We then let
[TABLE]
where we are computing d\scaletoH4pt and d\scaletoV4pt on R∞. Note that by equation 7.3 and 7.14 we have Π(η)=ψ
so that η has the form in equation 7.12. We then compute using equation 7.15
[TABLE]
which proves the lemma.
∎
7.2. Time Independent Operators
Equation 1.5 defines when the time independent evolution equation ut=K(x,u,ux,…) is a Hamiltonian system with symplectic operator S. This is precisely the same definition that the ordinary differential equation K(x,u,ux,…)=0 admits a variational operator. The following simple lemma is the key to decoupling the variational operator problem
for time independent scalar evolution equations.
Lemma 7.8**.**
Let S=siDxi be a time independent symplectic operator with symplectic potential P∈C∞(J∞(R,R)) (equation 6.13 in Lemma 6.6). Then
[TABLE]
Proof.
By the product formula in the calculus of variations (equation 5.80 in [Olver:1993a]) the left side of equation 7.16 is
[TABLE]
Equation 7.17 together with the fact from equation 6.132S(ut)=FPut−FP∗ut show that the two sides of equation 7.16 agree.
∎
We then have the following.
Theorem 7.9**.**
Let S be a t-independent symplectic operator. The following are equivalent,
(1)
ut=K(x,u,ux,…)* is Hamiltonian the sense of S(K)=E(H).*
2. (2)
S* is a symplectic variational operator for the ODE K=0,*
3. (3)
S* is a variational operator for ut=K (see Remark 2.1).*
This converts the symplectic Hamiltonian question for the evolution equation into a variational operator problem for the ODE K=0, see [fels:2018a].
Proof.
Suppose ut=K(x,u,...,un) is Hamiltonian for the t-independent symplectic operator S, so that S(K)=E(H) on J∞(R,R). Therefore S is a variational operator for the ODE K=0. So (1) and (2) are trivially equivalent.
We show (1) implies (3). Suppose that S(K)=E(H). Using equation 7.17 in Lemma 7.8 we have
[TABLE]
Therefore S is a variational operator for ut−K.
Finally we show (3) implies (1). Starting with hypothesis (3) in the form of equation 5.14 we have,
[TABLE]
where L=L∘π (see 2.1). Substituting from equation 7.17 into equation 7.18 we get
[TABLE]
Therefore
[TABLE]
and ut=K is a time independent Hamiltonian evolution equation for the symplectic operator S.
∎
8. First Order Operators
For a third order evolution equation
[TABLE]
we write the conditions θ0∧LΔ∗(ϵ)=0, when ϵ is first order and skew-adjoint. This will prove Theorem 1.4 in the Introduction.
Proof.
(Theorem 1.4) By Theorems 5.3 and 4.1 the skew-adjoint operator E=2RDx+X(R) is a variational operator for 8.1 if and only if
the skew-adjoint form ϵ=−Rθ1−21R0θ0 is a solution to
[TABLE]
where Ki=∂uiK. Using T(θ0)=d\scaletoV4ptK=Kiθi and T(θ1)=X(d\scaletoV4ptK)=X(Kiθi) we have
[TABLE]
The highest possible θi∧θ0 term in equation 8.2 using 8.3 is θ4. We find from equation 8.2
[TABLE]
While for θ3∧θ0, θ2∧θ0 and θ1∧θ0 we have from equations 8.3 and 8.2,
[TABLE]
For the coefficient of θ3∧θ0 to be zero we have from equation 8.4,
[TABLE]
where K^2=3K32(K2−X(K3)).
The coefficient of θ2∧θ0 in equation 8.4 is zero on account of 8.5.
For the coefficient of θ1∧θ0 in 8.4 to be zero gives
[TABLE]
Simplifying equation 8.6 using equation 8.5 we get
[TABLE]
It follows that a non-vanishing R (which we may assume to be positive) satisfying equations 8.5 and 8.7 is necessary and sufficient for the existence of a first order variational operator for Δ=ut−K in equation 8.1 is equivalent to A=X(logR) and B=T(logR) satisfying the conditions in Theorem 1.4. This proves Theorem 1.4.
∎
For the KdV equation ut=uxxx+uux the form κ in equation 1.6 is
[TABLE]
Therefore according to Theorem 1.4 there is no first order symplectic formulation for the KdV equation as a Hamiltonian evolution equation.
8.1. First order Hamiltonians Operators and Bi-Hamiltonian Evolution equations
Let vt=D∘E(H(x,v,vx,…)) be a Hamiltonian evolution equation where D is a first order Hamiltonian operator. According to [Olver:1988a] or [vino:1986a] we may choose coordinates (using a contact transformation) such that D=Dx. The following is Theorem 1 in [Nutku:2002a] in the context of scalar evolution equations.
Lemma 8.1**.**
The potential form of the Hamiltonian evolution equation,
[TABLE]
is given by the equation
[TABLE]
The potential form 8.9 admits E=Dx as a first order variational operator, and satisfies
[TABLE]
There is an abuse of notation in this lemma where Dx is used as the total x derivative operator in either variable u or v depending on context.
Proof.
Starting with equation 8.8, let v=ux so that 8.8 becomes
[TABLE]
Integrating equation 8.11 with respect to x gives the potential form 8.9.
To prove equation 8.10 holds we simply need the change of variables formula, see exercise 5.49 in [Olver:1993a],
[TABLE]
Equation 8.12 together with the simple fact −2E(utux)=utx proves equation 8.10.
∎
The second term in the right hand side of equation 8.10 is just the pullback of the Hamiltonian function in 8.8. We also note the following simple corollary.
Corollary 8.2**.**
Every Hamiltonian evolution equation vt=D(E(H1(x,v,vx,…))) with first order Hamiltonian operator D is the symmetry reduction of an equation ut=K(x,u,ux,…), of the same order, which admits an invariant first order variational operator.
8.2. Bi-Hamiltonian Evolution Equations with a First Order Hamiltonian Operator
We now present sufficient conditions when the potential form of a compatible bi-Hamiltonian system admits a second variational operator.
Theorem 8.3**.**
Let vt=K(x,v,vx,…)=Dx(E(H1(x,v,vx,…))) be a Hamiltonian evolution equation
with potential form
[TABLE]
Let D0 be second time independent Hamiltonian operator with Hamiltonian H0(x,v,vx,…) satisfying,
[TABLE]
Assume D0 also satisfies the compatibility condition (equation 7.29 in [Olver:1993a])
[TABLE]
Then the right hand side of the potential form satisfies
[TABLE]
where E=D0∣v=ux111 D0 is the push-forward of E by the quotient map q:(t,x,u,ux,…)→(t,x,v,vx,…)..
Furthermore if E=D0∣v=ux is symplectic, then E is a variational operator for the evolution equation 8.13 and
[TABLE]
where Q is defined in equation 5.28 where E=FQ∗−FQ.
Proof.
First we apply E=D0∣v=ux to the right hand side of equation 8.13, and use condition 8.14 to get
[TABLE]
Again the last line follows from the change of variables formula in the calculus variations (exercise 5.49 in [Olver:1993a]). This verifies equation 8.15. Then by part (1) of Theorem 7.9 equation 8.15 shows that E is a variational operator for equation 8.13. If Q is the function from equation 5.28 we then have E(ut)=(FQ∗−FQ)(ut)=E(Qut) and equation 8.17 that
[TABLE]
∎
Theorem 8.3 makes the hypothesis that E=D∣v=ux is a symplectic operator. This holds in the case of the Hamiltonian operators given by Theorem 5.3 in [dorfman:1993a],
[TABLE]
satisfy the compatibility conditions with Dx in Corollary 3.2 of [cooke:1991a] when h(v)=(k1v+k2)−1. This gives
[TABLE]
which are symplectic [dorfman:1993a].
9. Examples
Example 9.1**.**
The Harry-Dym equation zt=z3zxxx [dorfman:1993a, wang:2002a] is a compatible bi-Hamiltonian system,
[TABLE]
where
[TABLE]
The change of variable z=v−1 maps the Hamiltonian operator D1 to canonical form [vino:1986a, Olver:1988a], and the Hamilonian operators and the associated Hamiltonians in equation 9.2 become
[TABLE]
The Harry-Dym equation 9.1 in these coordinates is then,
[TABLE]
The potential form of equation 9.4 is found by letting v=wx and integrating to get (see also 8.9)
[TABLE]
Equation 8.10 of Lemma 8.1 as it applies to the potential Harry-Dym equation 9.5 produces the following variational operator equation for Dx,
[TABLE]
We now apply Theorem 8.3 to obtain a second variational operator. The compatibility condition in equation 8.14 is satisfied with the operators from equation 9.3 with
[TABLE]
The operator D0 in equation 9.3 is of the form 8.19 so that by equation 8.20
[TABLE]
is a symplectic or variational operator. Since the compatibility condition in equation 8.14 is satisfied and E is a symplectic operator Theorem 8.3 applies. The operator E in equation 9.7 is a variational operator for the potential Harry-Dym equation in 9.5. The function Q in equation 5.28 is easily determined for E (using the fact that −2E is a symplectic operator) to be
[TABLE]
Equation 8.16 with Q in equation 9.8 and
H2 in equation 9.6 (with v=wx) gives the
variational operator equation for the potential Harry-Dym equation 9.5,
[TABLE]
If we return to the original coordinates for the Harry-Dym equation and make the change of variable given by x=u,w=ux,wx=uxxux−1,… to the potential form in equation 9.5 we get the Schwarzian KdV (or Krichever-Novikov) equation (pg. 120 in [dorfman:1993a]),
[TABLE]
In particular the Schwarzian KdV in equation 9.9 is the potential form of the Harry-Dym equation 9.1. These different coordinate representations of the Harry-Dym and the Schwarzian KdV is summarized by the diagram,
[TABLE]
The variational or symplectic operators for the Schwarzian KdV are obtained by applying the change of variables x=u,w=ux,wx=uxxux−1,… to Dx and equation 9.7 giving the well known symplectic or variational operators for the Schwarzian KdV [dorfman:1993a],
[TABLE]
With quotient map q(t,x,u,ux,uxx,…)=(t=t,x=u,z=ux,zx=uxxux−1,…),
the operators from 9.11 project q∗Ei=D~i to the Hamiltonian operators in equation 9.2.
We now compute the explicit unique representative for the H1,2(R∞) cohomology class
for the Schwarzian-KdV 9.9 corresponding to the
first operator in 9.11 (Theorem 4.1). This is computed using formula 1.3 in Theorem 1.1 to be,
[TABLE]
We have d\scaletoV4ptω1=0 and for the forms η and λ in Theorem 5.4 we may choose
[TABLE]
Likewise formula 1.3 for the second operator in 9.11 gives the unique cohomology representative ((Theorem 4.1),
[TABLE]
In this case d\scaletoV4ptω0=0, but [ω^0]=[ω0] where
[TABLE]
and d\scaletoV4ptω0=0. Futhermore with ω0 in equation 9.15 the forms η and λ
in Theorem 5.4 can be chosen to be
[TABLE]
For λi in equations 9.13 and 9.16, it is difficult to determine whether [λi]∈H2,0(R∞) is trivial or not (see Theorem A.4). However, it is possible but not easy to show λi=dκi where κi is t-invariant by using the infinite sequence of conservation laws [dorfman:1993a] for the Krichever-Novikov (Schwarzian KdV) equation 9.9. The forms λi define a non-trivial cohomology class in the t-invariant variational bi-complex for 9.9.
Example 9.2**.**
The Harry Dym equation can be written in the form
[TABLE]
where the Hamilonian operators and their Hamiltonians are
[TABLE]
Equation 9.17 is obtained from equation 9.4 by substituting v=−231v^.
Another potential form (or integrable extension) for the Harry-Dym equation 9.17 can be obtained by letting v=uxxx in equation 9.17 so that
[TABLE]
which after integrating three times gives,
[TABLE]
We show that Dx3 is a variational operator. First using the change of variables formula in the calculus of variation for v=uxxx (exercise 5.49 [Olver:1993a]) we have
[TABLE]
The operator Dx3 is symplectic which together with equation 9.19 shows that Dx3 is a variational operator for equation 9.18 and giving,
[TABLE]
In equation 8.14 compatibility was used to show the second Hamiltonian operator for a bi-Hamiltonian equation became a variational operator for the potential form. In order to use a similar argument in this case we need to show D1E(H0)=D0E(H−1). We find
[TABLE]
In analogy to equation 8.14, this gives rise with H−1=0 to the variational operator
[TABLE]
Using the fact that operator E in equation 9.21 is a symplectic operator, the compatibility condition 9.20 gives
[TABLE]
Equation 9.22 shows directly that E in 9.21 is a variational operator for equation 9.18.
It is worth noting that E(K)=0 in this example and that
[ω]=d\scaletoV4pt[η] where [η]∈H1,1(R∞). The representative
[TABLE]
with ϵ=−21E(θ0)=−uxxxθ1−21uxxxxθ0 satisfies ω=d\scaletoV4ptη where (see equation 3.24)
[TABLE]
Since d\scaletoH4ptη=0, [η]∈H1,1(R∞). This also produces an example where
[TABLE]
satisfies LΔ∗(Q)=0, as well as equation A.6. By Theorem A.1, Corollary A.2 or Corollary A.5, Q is not the characteristic of a classical conservation law
Example 9.3**.**
The cylindrical KdV equation is (see [wang:2002a])
[TABLE]
while it’s potential form is
[TABLE]
The form κ in equation 1.6 in Theorem 1.4 is κ=t−1dt=d\scaletoH4pt(logt) and so equation 9.24 admits E1=tDx as a variational operator. In equation 5.14 we have Q1=−21tux leading to
[TABLE]
By solving the equation θ0∧LΔ∗(ϵ)=0 from 4.1
for third order forms ϵ we find that equation 9.24 admits a third order symplectic or variational operator,
If we now compute the reduction of the potential cylindrical KdV by substituting w=tux into
the x-derivative of equation 9.24 we get
[TABLE]
where
[TABLE]
Equation 9.25 can of course be obtained from the cylindrical KdV equation 9.23 by the change of variables w=tv. It is unclear (to the authors) if the cylindrical KdV in equation 9.24 is a bi-Hamiltonian evolution equation for which D1 and D0 in equation 9.26 are Hamiltonian operators. Reference [wang:2002a] states there are no Hamiltonians for the cylindrical KdV. It is straightforward to work out the symplectic or variational operators for the potential cylindrical KdV from equation 9.25 following Theorem 8.3.
More generally for any evolution equation of the form
[TABLE]
admits Dx as a first variational operator. We find after a long computation that equation 9.27
admits a third order variational in the case where a(t)a˙(t)=0 only when
[TABLE]
For the + sign in equation 9.28, the change of variables t=c1−1(t^−c2),x=c1−31x^, u=21c131u^, takes equation 9.27 with a(t) in 9.28 to the potential form of the cylindrical KdV obtained from equation 9.25. The same result holds in the other cases with slightly different changes of variable.
10. Conclusions
The determination of a symplectic operator for a scalar evolution equation has been shown to be equivalent to the existence of a variational operator which is determined by a non-vanishing cohomology class in H1,2(R∞). The arguments used to prove this clearly extend to other types of differential equations including systems. In particular Theorem 5.1 holds independently of Δ being a evolution equation and so the variational operators for Δ always determine an element of the cohomology Hn−1,2(Δ) as in Theorem 5.1.
There remain many open theoretical questions such as whether the compatibility condition for symplectic operators appears in the cohomology. Another interesting problem is to determine under what conditions the
symmetry reduction of a variational operator equation a Hamiltonian system (the converse of Lemma 8.1).
Many difficult computational questions have also not been resolved. We were unable to compute the dimension of H1,2(R∞) in our examples. Preliminary computations using equation θ0∧LΔ∗(ρ)=0 from Theorem 3.1 suggests dimH1,2(R∞)=2 for the Krichever-Novikov equation in Example 1 and others. However we were not able to give a full proof of this fact. We have also not explored in any detail the obvious generalization of Noether’s Theorem which arises from the existence of a variational operator or equivalently by utilizing a non-trivial element of H1,2(R∞). This would provide an alternate derivation for identifying symmetries and conservation laws for symplectic Hamiltonian systems (see Theorem 7.15 in [Olver:1993a]).
Appendix A The Vertical Differential
The vertical differential induces a mapping d\scaletoV4pt:Hr,s(R∞)→Hr,s+1(R∞) defined
by d\scaletoV4pt[ω]=[d\scaletoV4ptω]. Let ut=K be a scalar evolution equation with equation manifold. We now examine when [ω]∈Imaged\scaletoV4pt.
Theorem A.1**.**
Let [ζ]∈H1,1(R∞). There exists [κ]∈H1,0(R∞) such that
[ζ]=d\scaletoV4pt[κ] if and only if δ\scaletoV4pt∘Π(ζ)=0 where Π:Ω1,1(R∞)→Ωtsb1,1(E) is defined as in equation 7.2 and ζ is any representative of [ζ].
This answers the question of when [ζ] is the image of a classical conservation law [κ]. To relate Theorem A.1 to the theory of characteristics for a conservation law, suppose [ζ]∈H1,1(R∞) with (unique) canonical representative given in Theorem 3.4 by
[TABLE]
where the function Q satisfies LΔ∗(Q)=0. Theorem A.1 states that the function Q is the characteristic of a classical conservation law for Δ if and only if Q=E(L). The test for this condition is the Helmholtz condition δ\scaletoV4pt\scaletoE4pt(dx∧θE0⋅Q)=0.
Proof.
Suppose [ζ]∈H1,1(R∞) where ζ=dx∧(aiθi)−dt∧β is a representative, then
so that [ζ^]=[ζ]. Now by equation 7.3, the definition of Π in equation 7.1, and equation A.1,
[TABLE]
Therefore there exists β^∈Ω0,1(R∞) such that,
[TABLE]
Now d\scaletoH4ptd\scaletoV4ptζ^=−d\scaletoV4ptd\scaletoH4ptζ=0 and therefore from equation A.3,
[TABLE]
However d\scaletoV4ptβ∈Ω0,2(R∞) and the only way the contact two form d\scaletoV4ptβ satisfies equation A.4 is if d\scaletoV4ptβ=0. This implies from equation A.3 that d\scaletoV4ptη^=0.
Using the vertical exactness of Ω1,1(R∞) we conclude there exists κ∈Ω1,0(R∞) such that ζ^=d\scaletoV4ptκ. Now
[TABLE]
Again by vertical exactness of the (augmented) variational bicomplex for d\scaletoV4pt:Ω2,0(R∞)→Ω2,1(R∞) applied to d\scaletoH4ptκ we have,
[TABLE]
Since R2 is simply connected we may write
[TABLE]
Finally let
[TABLE]
so that d\scaletoV4ptκ^=d\scaletoV4ptκ=ζ^, and equation A.5 gives
[TABLE]
Therefore [ζ]=d\scaletoV4pt[κ^] and [κ^]∈H1,0(R∞).
∎
Corollary A.2**.**
Let [ζ]∈H1,1(R∞) with
canonical representative given by
[TABLE]
where LΔ∗(Q)=0 (see Theorem 3.1). Then [ζ]=d\scaletoV4pt[κ] where [κ]∈H1,0(R∞) if and only if the function Q is in the image of the Euler operator. That is if and only if there exists A(t,x,u,ux,uxx,…)∈C∞(E) such that Q=E(A).
Corollary A.3**.**
If ut=K is even order, then every solution Q to LΔ∗(Q)=0 is
the characteristic of a conservation law.
As is well known, the characteristics of a conservation law are solutions to LΔ∗(Q)=0 but the converse is not necessarily true and Corollary A.2 identifies those which are. See Example 9.2 for a solution to LΔ∗(Q)=0 which is not a characteristic of a conservation law.
We now examine the case of H1,2(R∞).
Theorem A.4**.**
Let [ω]∈H1,2(R∞). Then [ω]=d\scaletoV4pt[η] where [η]∈H1,1(R∞) if and only if [ω]∈kerΛ where Λ:H1,2(R∞)→H2,0(R∞) is defined in equation 4.18.
Proof.
Let [ω]∈H1,2(R∞) with representative ω satisfying ω=d\scaletoV4ptη and λ be as in Lemma 4.5. That is
[TABLE]
Suppose now that λ=d\scaletoH4ptκ so that [ω]∈kerΛ. Let η^=η+d\scaletoV4ptκ.
Then
[TABLE]
Therefore [ω]=d\scaletoV4pt[η^] where [η^]∈H1,1(R∞). This proves sufficiency of the condition.
Suppose now that [ω]=d\scaletoV4pt[η] where [η]∈H1,1(R∞). Let ω be the
representative such that ω=d\scaletoV4ptη. By hypothesis d\scaletoH4ptη=0 and so
for λ in Lemma 4.5 we have
[TABLE]
The same argument as in the second part of the proof of Corollary 4.6 implies that there exists κ∈Ω1,0(R2) such that λ=d\scaletoH4ptκ. Therefore Λ([ω])=[λ]=[d\scaletoH4ptκ]=0.
∎
As a simple corollary to Theorem A.4 we can identify the elements of H1,1(R∞) which
are not the image of a conservation law as follows.
Corollary A.5**.**
The map d\scaletoV4pt:H1,1(R∞)/d\scaletoV4pt(H1,0(R∞))→kerΛ is an isomorphism.
Moreover, we can identify η∈H1,1(R∞)/d\scaletoV4pt(H1,0(R∞)) with the space of functions Q∈C∞(R∞) such that