Weak symplectic forms and differential calculus in Banach spaces

Jordan Bell
May 16, 2015

1 Introduction

There are scarcely any decent expositions of infinite dimensional symplectic vector spaces. One good basic exposition is by Marsden and Ratiu.11 1 Jerrold E. Marsden and Tudor S. Ratiu, Introduction to Mechanics and Symmetry, second ed., Chapter 2. The Darboux theorem for a real reflexive Banach space is proved in Lang and probably in fewer other places than one might guess.22 2 Serge Lang, Differential and Riemannian Manifolds, p. 150, Theorem 8.1; Mircea Puta, Hamiltonian Mechanical Systems and Geometric Quantization, p. 12, Theorem 1.3.1. (Other references.33 3 Andreas Kriegl and Peter W. Michor, The Convenient Setting of Global Analysis, p. 522, §48; Peter W. Michor, Some geometric evolution equations arising as geodesic equations on groups of diffeomorphisms including the Hamiltonian approach, pp. 133–215, in Antonio Bove, Ferruccio Colombini, and Daniele Del Santo (eds.), Phase Space Analysis of Partial Differential Equations; K.-H. Need, H. Sahlmann, and T. Thiemann, Weak Poisson Structures on Infinite Dimensional Manifolds and Hamiltonian Actions, pp. 105–135, in Vladimir Dobrev (ed.), Lie Theory and Its Applications in Physics; Tudor S. Ratiu, Coadjoint Orbits and the Beginnings of a Geometric Representation Theory, pp. 417–457, in Karl-Hermann Neeb and Arturo Pianzola (eds.), Developments and Trends in Infinite-Dimensional Lie Theory.)

2 Bilinear forms

Let E be a real Banach space. For a bilinear form B:E×E→ℝ, define

∥B∥=sup∥e∥≤1,∥f∥≤1⁡|B⁢(e,f)|.

One proves that B is continuous if and only if ∥B∥<∞. Namely, a bilinear form is continuous if and only if it is bounded.

If B:E×E→ℝ is a continuous bilinear form, we define B♭:E→E* by

B♭⁢(e)⁢(f)=B⁢(e,f),e∈E,f∈E;

indeed, for e∈E, ∥B♭⁢(e)⁢f∥=∥B⁢(e,f)∥≤∥B∥⁢∥e∥⁢∥f∥, showing that ∥B♭⁢(e)∥≤∥B∥⁢∥e∥, so that B♭⁢(e) is continuous E→ℝ. Moreover, it is apparent that B♭ is linear, and

∥B♭∥ =sup∥e∥≤1⁡∥B♭⁢(e)∥
=sup∥e∥≤1⁡sup∥f∥≤1⁡|B♭⁢(e)⁢(f)|
=M,

so B♭:E→E* is continuous.

We call a continuous bilinear form B:E×E→F weakly nondegenerate if B♭:E→E* is one-to-one. Since B♭ is linear, this is equivalent to the statement that B♭⁢(e)=0 implies that e=0, which is equivalent to the statement that if B⁢(e,f)=0 for all f then e=0.

An isomorphism of Banach spaces is a linear isomorphism T:E→F that is continuous such that T-1⁢F→E is continuous. Equivalently, to say that T:E→F is an isomorphism of Banach spaces means that T:E→F is a bijective bounded linear map such that T-1:F→E is a bounded linear map. It follows from the open mapping theorem that if T:E→F is an onto bounded linear isomorphism, hence is an isomorphism of Banach spaces.

We say that a continuous bilinear form B:E×E→ℝ is strongly nondegenerate if B♭:E→E* is an isomorphism of Banach spaces.

For a real vector space V and a bilinear form B:V×V→ℝ, we say that B is alternating if B⁢(v,v)=0 for all v∈V. We say that B is skew-symmetric if B⁢(u,v)=-B⁢(v,u) for all u,v∈V. It is straightforward to check that B is alternating if and only if B is skew-symmetric.

For Banach spaces E1,…,Ep and F, let ℒ⁢(E1,…,Ep;F) denote the set of continuous multilinear maps E1×⋯⁢Ep→F. For a multilinear map T:E1×⋯×Ep→F to be continuous it is equivalent that

∥T∥=sup∥e1∥≤1,…⁢∥ep∥≤1⁡∥T⁢(e1,…,en)∥<∞,

namely that it is bounded with the operator norm. With this norm, ℒ⁢(E1,…,Ep;F) is a Banach space.44 4 Henri Cartan, Differential Calculus, p. 22, Theorem 1.8.1. We write

ℒp⁢(E;F)=ℒ⁢(E1,…,Ep;F).

For Banach spaces E and F, we denote by GL⁢(E;F) the set of isomorphisms E→F. One proves that GL⁢(E;F) is an open set in the Banach space ℒ⁢(E;F) and that with the subspace topology, u↦u-1 is continuous GL⁢(E;F)→GL⁢(F;E).55 5 Henri Cartan, Differential Calculus, p. 20, Theorem 1.7.3.

For Banach spaces E,F,G, define

ϕ:ℒ⁢(E,F;G)→ℒ⁢(E;ℒ⁢(F,G))

by ϕ⁢(f)⁢(x)⁢(y)=f⁢(x,y) for f∈ℒ⁢(E,F;G), x∈E, and y∈F. One proves that ϕ is an isometric isomorphism.66 6 Henri Cartan, Differential Calculus, p. 23, §1.9.

3 Differentiable functions

Let E and F be Banach spaces and let U be a nonempty open subset of E. For a∈U, a function f:U→F is said to be differentiable at a if (i) f is continuous at a and (ii) there is a linear mapping g:E→F such that

∥f⁢(x)-f⁢(a)-(g⁢(x)-g⁢(a))∥F=o⁢(∥x-a∥E),

as x→a in E. We prove that there is at most one such linear mapping g and write f′⁢(a)=g, and call f′⁢(a) the derivative of f at a. We also prove that if f is differentiable at a then f′⁢(a):E→F is continuous at a and therefore, being linear, is continuous on E, namely f′⁢(a)∈ℒ⁢(E;F).77 7 Henri Cartan, Differential Calculus, p. 25.

If f:U→F is differentiable at each a∈U, we say that f is differentiable on U. We call f′:U→ℒ⁢(E;F) the derivative of f. We also write D⁢f=f′.

We say that f:U→F is C1, also called continuously differentiable, if (i) f is differentiable on U and (ii) f′:U→ℒ⁢(E;F) is continuous.

Let E,F,G be Banach spaces, let U be an open subset of E, let V be an open subset of F, and let f:U→F and g:V→G be continuous. Suppose that a∈U and that f⁢(a)∈V. We define g∘f:f-1⁢(V)→G on f-1⁢(V). One proves that if f is differentiable at a and g is differentiable at f⁢(a), then h=g∘f:f-1⁢(V)→F is differentiable at a and satisfies88 8 Henri Cartan, Differential Calculus, p. 27, Theorem 2.2.1.

h′⁢(a)=g′⁢(f⁢(a))∘f′⁢(a).

For Banach spaces E and F, let ϕ:GL⁢(E;F)→ℒ⁢(F;E) be defined by ϕ⁢(u)=u-1. GL⁢(E;F) is an open subset of the Banach space ℒ⁢(E;F) and ϕ is continuous. It is proved that ϕ continuously differentiable, and that for u∈GL⁢(E;F), the derivative of ϕ at u,

ϕ′⁢(u)∈ℒ⁢(ℒ⁢(E;F);ℒ⁢(F;E)),

satisfies99 9 Henri Cartan, Differential Calculus, p. 31, Theorem 2.4.4.

ϕ′⁢(u)⁢(h)=-u-1∘h∘u-1,h∈ℒ⁢(E;F).

4 Symplectic forms

A weak symplectic form on a Banach space E is a continuous bilinear form Ω:E×E→ℝ that is weakly nondegenerate and and alternating.

A strong symplectic form on a Banach space E is a continuous bilinear form Ω:E×E→ℝ that is strongly nondegenerate and alternating. If Ω is a strong symplectic form on a Banach space E, we define Ω♯:E*→E by Ω♯=(Ω♭)-1, which is an isomorphism of Banach spaces.

5 Hamiltonian functions

Let E be a real Banach space E, let 𝒟⁢(A) be a linear subspace of E, and let A:𝒟⁢(A)→E be a linear map, called an operator in E. Write ℛ⁢(A)=A⁢𝒟⁢(A). For a weak symplectic form ω on E, we say that A is ω-skew if

ω⁢(A⁢e,f)=-ω⁢(e,A⁢f),e,f∈𝒟⁢(A).

If ℛ⁢(A)⊂𝒟⁢(A) and A2=-I, then for e,f∈𝒟⁢(A) we have ω⁢(A⁢e,A⁢f)=-ω⁢(e,A2⁢f)=-ω⁢(e,-f)=ω⁢(e,f).

For an ω-skew operator A in E, we define H:𝒟⁢(A)→ℝ, called the Hamiltonian function of A,1010 10 See Jerrold E. Marsden and Thomas J. R. Hughes, Mathematical Foundations of Elasticity, p. 253, §5.1. by

H⁢(u)=12⁢ω⁢(A⁢u,u),u∈𝒟⁢(A).

For a linear operator A in E, we define

𝒢⁢(A)={(u,A⁢u):u∈𝒟⁢(A)}.

𝒢⁢(A) is a linear subspace of E×E. We say that A is closed if 𝒢⁢(A) is a closed subset of E×E. One proves that a linear operator A in E is closed if and only if the linear space 𝒟⁢(A) with the norm

∥e∥A=∥e∥+∥A⁢e∥,e∈𝒟⁢(A)

is a Banach space.

For T∈ℒ⁢(E), we define T*⁢ω:E×E→ℝ by

(T*⁢ω)⁢(e,f)=ω⁢(T⁢e,T⁢f),(e,f)∈E×E;

T*⁢ω is called the pullback of ω by T. It is apparent that T*⁢ω is bilinear. We have

∥T*⁢ω∥ =sup∥e∥≤1,∥f∥≤1⁡|ω⁢(T⁢e,T⁢f)|
≤sup∥e∥≤1,∥f∥≤1⁡∥ω∥⁢∥T⁢e∥⁢∥T⁢f∥
≤sup∥e∥≤1,∥f∥≤1⁡∥ω∥⁢∥T∥⁢∥e∥⁢∥T∥⁢∥f∥
=∥ω∥⁢∥T∥2,

showing that T*⁢ω is continuous. For e∈E, because ω is alternating we have

(T*⁢ω)⁢(e,e)=ω⁢(T⁢e,T⁢e)=0,

i.e. T*⁢ω is alternating. For e∈E, suppose that (T*⁢ω)⁢(e,f)=0 for all f∈E. That is, ω⁢(T⁢e,T⁢f)=0 for all f∈E, and thus, to establish that T*⁢ω is weakly nondegenerate it suffices that T be onto. In the case that T*⁢ω=ω, we say that T∈ℒ⁢(E) is a canonical transformation.

Suppose that A is a closed ω-skew operator in E, with Hamiltonian function H:𝒟⁢(A)→ℝ. 𝒟⁢(A) is a Banach space with the norm ∥e∥A=∥e∥+∥A⁢e∥. For u∈𝒟⁢(A) and v∈𝒟⁢(A), using the fact that A is ω-skew we check that

H⁢(v)-H⁢(u)-ω⁢(A⁢u,v-u)=12⁢ω⁢(A⁢(v-u),v-u),

hence

|H⁢(v)-H⁢(u)-ω⁢(A⁢u,v-u)|≤12⁢∥ω∥⁢∥A⁢(v-u)∥⁢∥v-u∥≤12⁢∥ω∥⁢∥v-u∥A2.

This shows that H is differentiable on the Banach space 𝒟⁢(A), with derivative H′:𝒟⁢(A)→𝒟⁢(A)* defined by1111 11 cf. Jerrold E. Marsden and Thomas J. R. Hughes, Mathematical Foundations of Elasticity, p. 254, Proposition 2.2.

H′⁢(u)⁢(e)=ω⁢(A⁢u,e),u∈𝒟⁢(A),e∈𝒟⁢(A).

Moreover, for u,v∈𝒟⁢(A) we have

∥H′⁢(v)-H′⁢(u)∥ =sup∥e∥A≤1⁡|H′⁢(v)⁢(e)-H′⁢(u)⁢(e)|
=sup∥e∥A≤1⁡|ω⁢(A⁢v,e)-ω⁢(A⁢u,e)|
=sup∥e∥A≤1⁡|ω⁢(A⁢(v-u),e)|
≤sup∥e∥A≤1⁡∥ω∥⁢∥A⁢(v-u)∥⁢∥e∥
≤∥ω∥⁢∥A⁢(v-u)∥
≤∥ω∥⁢∥v-u∥A,

showing that H′:𝒟⁢(A)→𝒟⁢(A)* is continuous, namely that H is C1. (We also write D⁢H=H′.)

Suppose that A is a closed operator in E and that H:𝒟⁢(A)→ℝ is some function such that H′⁢(u)⁢e=ω⁢(A⁢u,e) for all u∈𝒟⁢(A) and e∈𝒟⁢(A). On the one hand, because H′ is continuous and linear, the second derivative D2⁢H:𝒟⁢(A)→ℒ⁢(𝒟⁢(A),𝒟⁢(A)*) is

(D2⁢H)⁢(u)⁢(e)⁢(f)=H′⁢(e)⁢(f)=ω⁢(A⁢e,f),u,e,f∈𝒟⁢(A).

On the other hand, because D2⁢H is continuous, for each u∈𝒟⁢(A), the bilinear form (D2⁢H)⁢(u):𝒟⁢(A)×𝒟⁢(A)→ℝ is symmetric.1212 12 Serge Lang, Real and Functional Analysis, third ed., p. 344, Theorem 5.3. That is, (D2⁢H)⁢(u)⁢(e)⁢(f)=(D2⁢H)⁢(u)⁢(f)⁢(e), which by the above means

ω⁢(A⁢e,f)=ω⁢(A⁢f,e),e,f∈𝒟⁢(A),

showing that A is ω-skew. Let G:𝒟⁢(A)→ℝ be the Hamiltonian function of A, i..e

G⁢(u)=12⁢ω⁢(A⁢u,u),u∈𝒟⁢(A).

What we established earlier tells us that

G′⁢(u)⁢(e)=ω⁢(A⁢u,e),u∈𝒟⁢(A),e∈𝒟⁢(A).

Then we have that for G′=H′. Let K=G-H, which is C1 with K′=0. The mean value theorem1313 13 Serge Lang, Real and Functional Analysis, third ed., p. 341, Theorem 4.2. tells us that for any x,y∈𝒟⁢(A),

K⁢(x+y)-K⁢(x)=∫01K′⁢(x+t⁢y)⁢(y)⁢𝑑t=0,

and thus K⁢(u)=K⁢(0)=C for all u∈𝒟⁢(A). Therefore, G=H+C.

6 Semigroups

Let E be a real Banach space, let ω be a weak symplectic form on E, and let A be a closed densely defined ω-skew linear operator in E. Suppose that A is the infinitesimal generator of a strongly continuous one-parameter semigroup {Ut:t≥0}, where Ut∈ℒ⁢(E) for each t, and let H be the Hamiltonian function of A.1414 14 Jerrold E. Marsden and Thomas J. R. Hughes, Mathematical Foundations of Elasticity, p. 256, Proposition 2.6.

Theorem 1.

For each t≥0, Ut is a canonical transformation.

For each t≥0 and for each x∈𝒟⁢(A),

H⁢(Ut⁢x)=H⁢(x).
Proof.

For u,v∈𝒟⁢(A) and t≥0, using the chain rule and the fact that ω is a bilinear form,1515 15 Henri Cartan, Differential Calculus, p. 30, Theorem 2.4.3.

dd⁢t⁢ω⁢(Ut⁢u,Ut⁢v)=ω⁢(dd⁢t⁢Ut⁢u,Ut⁢v)+ω⁢(Ut⁢u,dd⁢t⁢Ut⁢v).

Because A is the infinitesimal generator of {Ut:t≥0}, it follows that dd⁢t⁢(Ut⁢w)=A⁢Ut⁢w for each w∈𝒟⁢(A). Using this and the fact that A is ω-skew,

dd⁢t⁢ω⁢(Ut⁢u,Ut⁢v) =ω⁢(A⁢Ut⁢u,Ut⁢v)+ω⁢(Ut⁢u,A⁢Ut⁢v)
=-ω⁢(Ut⁢u,A⁢Ut⁢v)+ω⁢(Ut⁢u,A⁢Ut⁢v)
=0.

This implies that ω⁢(Ut⁢u,Ut⁢v)=ω⁢(U0⁢u,U0⁢v)=ω⁢(u,v) for all t≥0, which means that Ut is a canonical transformation for each t≥0.

For any t≥0 and x∈𝒟⁢(A), A⁢Ut⁢x=Ut⁢A⁢x. (The infinitesimal generator of a one-parameter semigroup commutes with each element of the semigroup.) Then, using the fact that Ut is a canonical transformation,

H⁢(Ut⁢x) =12⁢ω⁢(A⁢(Ut⁢x),Ut⁢x)
=12⁢ω⁢(Ut⁢A⁢x,Ut⁢x)
=12⁢ω⁢(A⁢x,x)
=H⁢(x).

∎

Suppose that there is some c>0 such that H⁢(u)≥c⁢∥u∥A2 for all u∈𝒟⁢(A), namely that H is coercive on the Banach space 𝒟⁢(A). Let t≥0 and let u∈𝒟⁢(A). Then Ut⁢u∈𝒟⁢(A), so using the hypothesis and Theorem 1,

∥Ut⁢u∥A2≤1c⁢H⁢(Ut⁢u)=1c⁢H⁢(u)=12⁢c⁢ω⁢(A⁢u,u)≤12⁢c⁢∥ω∥⁢∥A⁢u∥⁢∥u∥≤∥ω∥2⁢c⁢∥u∥A2.

Therefore, for each t≥0 and u∈𝒟⁢(A),

∥Ut⁢u∥A≤∥ω∥2⁢c⁢∥u∥A.

7 Hilbert spaces

For a real vector space V, a complex struture on V is a linear map J:V→V such that J2=-I. For v∈V, define i⁢v=J⁢v∈V, for which on the one hand,

(α+i⁢β)⁢(γ+i⁢δ)⁢v =(α+i⁢β)⁢(γ⁢v+δ⁢J⁢v)
=α⁢γ⁢v+α⁢δ⁢J⁢v+J⁢(β⁢γ⁢v)+J⁢(β⁢δ⁢J⁢v)
=α⁢γ⁢v+(α⁢δ+β⁢γ)⁢J⁢v+β⁢δ⁢J2⁢v
=(α⁢γ-β⁢δ)⁢v+(α⁢δ+β⁢γ)⁢J⁢v,

and on the other hand,

(α+i⁢β)⁢(γ+i⁢δ)⁢v=(α⁢γ-β⁢δ+(α⁢δ+β⁢γ)⁢i)⁢v.

It follows that V with i⁢v=J⁢v is a complex vector space. We emphasize that the complex vector space V contains the same elements as the real vector space V. The following theorem connects symplectic forms, real inner products, and complex inner products.1616 16 Paul R. Chernoff and Jerrold E. Marsden, Properties of Infinite Dimensional Hamiltonian Systems, p. 6, Theorem 2. By a complex inner product on a complex vector space W, we mean a function h:W×W→ℂ that is conjugate symmetric, complex linear in the first argument, h⁢(w,w)≥0 for all w∈W, and h⁢(w,w)=0 implies w=0.

Theorem 2.

Let H be a real Hilbert space with inner product ⟨⋅,⋅⟩:H×H→ℝ and let ω be a weak symplectic form on H. Then there is a complex structure J:H→H and a real inner product s on H such that

s⁢(x,y)=-ω⁢(J⁢x,y),x,y∈H

is a real inner product on the real vector space H, and

h⁢(x,y)=s⁢(x,y)-i⁢ω⁢(x,y),x,y∈H

is a complex inner product on H with the complex structure J.

Furthermore, the following are equivalent:

  1. 1.

    The norm induced by h is equivalent with the norm induced by ⟨⋅,⋅⟩.

  2. 2.

    The norm induced by s is equivalent with the norm induced by ⟨⋅,⋅⟩.

  3. 3.

    ω is a strong symplectic form on the real Hilbert space H.

Proof.

By the Riesz representation theorem,1717 17 Walter Rudin, Functional Analysis, second ed., p. 310, Theorem 12.8. because ω is a bounded bilinear form there is a unique A∈ℒ⁢(H) such that

ω⁢(x,y)=⟨A⁢x,y⟩,x,y∈H. (1)

Because ω is skew-symmetric,

⟨A⁢x,y⟩=ω⁢(x,y)=-ω⁢(y,x)=-⟨A⁢y,x⟩=⟨(-A)⁢y,x⟩.

On the other hand, because ⟨⋅,⋅⟩ is a real inner product, ⟨A⁢x,y⟩=⟨x,A*⁢y⟩=⟨A*⁢y,x⟩. Therefore A*=-A.

A*⁢A=(-A)⁢A=-A2 and A⁢A*=A⁢(-A)=-A2, so A is normal. Therefore A has a polar decomposition:1818 18 Walter Rudin, Functional Analysis, second ed., p. 332, Theorem 12.35. there is a unitary U∈ℒ⁢(H) and some P∈ℒ⁢(H) with P≥0, such that

A=U⁢P,

and such that A,U,P commute; a fortiori, P is self-adjoint. If A⁢x=0, then ω⁢(x,y)=⟨A⁢x,y⟩=⟨0,y⟩=0 for all y∈H, and because ω is weakly nondegenerate this implies that x=0, hence A is one-to-one, which implies that P is one-to-one (this implication does not use that U is unitary). We have

A*=(U⁢P)*=P*⁢U*=P⁢U*,A*=-A=-U⁢P=-P⁢U,

hence

P⁢U*=P⁢(-U).

Because P is one-to-one, this yields U*=-U. But U is unitary, i.e. U*⁢U=I and U⁢U*=I. Therefore (-U)⁢U=I, i.e. -U2=I. This means that U is a complex structure on the real Hilbert space H. We write J=U.

The complex structure J satisfies, for x,y∈H,

ω⁢(J⁢x,J⁢y)=⟨A⁢J⁢x,J⁢y⟩=⟨J⁢A⁢x,J⁢y⟩=⟨A⁢x,J*⁢J⁢y⟩=⟨A⁢x,y⟩=ω⁢(x,y),

showing that J is a canonical transformation.

s:H×H→ℝ is defined, for x,y∈H, by

s⁢(x,y)=-ω⁢(J⁢x,y)=-⟨A⁢J⁢x,y⟩=⟨(-J)⁢A⁢x,y⟩=⟨J-1⁢A⁢x,y⟩=⟨P⁢x,y⟩.

It is apparent that s is bilinear. Because P is self-adjoint and ⟨⋅,⋅⟩ is symmetric,

s⁢(x,y)=⟨P⁢x,y⟩=⟨x,P⁢y⟩=⟨P⁢y,x⟩=s⁢(y,x),

showing that s is symmetric. Because P≥0, for any x∈H we have s⁢(x,x)=⟨P⁢x,x⟩≥0, namely s is positive. Also because P≥0, there is a unique S∈ℒ⁢(H), S≥0, satisfying S2=P.1919 19 Walter Rudin, Functional Analysis, second ed., p. 331, Theorem 12.33. If s⁢(x,x)=0, we get

0=⟨P⁢x,x⟩=⟨S2⁢x,x⟩=⟨S⁢x,S⁢x⟩=∥S⁢x∥2,

hence S⁢x=0 and so P⁢x=0, and because P is one-to-one, x=0. Therefore s is positive definite, and thus is a real inner product on H.

h:H×H→ℂ is defined, for x,y∈H, by

h⁢(x,y)=s⁢(x,y)-i⁢ω⁢(x,y)=⟨P⁢x,y⟩-i⁢ω⁢(x,y)=⟨P⁢x,y⟩-i⁢⟨A⁢x,y⟩.

For x1,x2,y∈H,

h⁢(x1+x2,y)=h⁢(x1,y)+h⁢(x2,y).

For α+i⁢β∈ℂ,

h⁢((α+i⁢β)⁢x,y) =h⁢(α⁢x+β⁢J⁢x,y)
=h⁢(α⁢x,y)+β⁢h⁢(J⁢x,y)
=α⁢h⁢(x,y)+β⁢⟨P⁢J⁢x,y⟩-i⁢β⁢⟨A⁢J⁢x,y⟩
=α⁢h⁢(x,y)+β⁢⟨A⁢x,y⟩-i⁢β⁢⟨A⁢(-J-1)⁢x,y⟩
=α⁢h⁢(x,y)+β⁢ω⁢(x,y)+i⁢β⁢⟨P⁢x,y⟩
=α⁢h⁢(x,y)+β⁢ω⁢(x,y)+i⁢β⁢s⁢(x,y)
=α⁢h⁢(x,y)+i⁢β⁢(s⁢(x,y)-i⁢ω⁢(x,y))
=α⁢h⁢(x,y)+i⁢β⁢h⁢(x,y)
=(α+i⁢β)⁢h⁢(x,y).

Therefore h is complex linear in its first argument. Because s is symmetric and ω is skew-symmetric, h⁢(x,y)=s⁢(x,y)-i⁢ω⁢(x,y) satisfies

h⁢(y,x)=s⁢(y,x)-i⁢ω⁢(y,x)=s⁢(x,y)+i⁢ω⁢(x,y)=h⁢(x,y)¯,

showing that h is conjugate symmetric. For x∈H,

h⁢(x,x)=s⁢(x,x)-i⁢ω⁢(x,x)=s⁢(x,x)≥0.

If h⁢(x,x)=0, then s⁢(x,x)=0, which implies that x=0. Therefore h is a complex inner product on H with the complex structure J.

Suppose that ω is a strong symplectic form on the real Hilbert space H. That is, ω♭:H→H* is an isomorphism of Banach spaces. We shall show that A, from (1), is onto. For y∈H, define λ:H→ℝ by λ⁢(x)=⟨x,y⟩. Then λ∈H*, so there is some v∈H for which ω♭⁢(v)=λ. That is, ω⁢(v,x)=λ⁢(x)=⟨x,y⟩=⟨y,x⟩ for all x∈H. But ω⁢(v,x)=⟨A⁢v,x⟩, so ⟨A⁢v,x⟩=⟨y,x⟩ for all x∈H, which implies that A⁢v=y, and thus shows that A is onto, and hence invertible in ℒ⁢(H). Because A=U⁢P and A,U are invertible in ℒ⁢(H), P is invertible in ℒ⁢(H). Therefore S, P=S2, S≥0, is invertible in ℒ⁢(H), whence

∥x∥2 =∥S-1⁢S⁢x∥2
≤∥S-1∥2⁢∥S⁢x∥2
=∥S-1∥2⁢⟨S⁢x,S⁢x⟩
=∥S-1∥2⁢⟨P⁢x,x⟩
=∥S-1∥2⁢s⁢(x,x)
=∥S-1∥⁢∥x∥s2,

and on the other hand

∥x∥s2=s⁢(x,x)=⟨P⁢x,x⟩≤∥P⁢x∥⁢∥x∥≤∥P∥⁢∥x∥2=∥S∥2⁢∥x∥2.

so

∥x∥≤∥S-1∥⁢∥x∥s,∥x∥s≤∥S∥⁢∥x∥.

Namely this establishes that the norms ∥x∥2=⟨x,x⟩ and ∥x∥s2=s⁢(x,x) are equivalent. ∎

8 Hamiltonian vector fields

Let E be a real Banach space and let k≥1; if we do not specify k we merely suppose that it is ≥1. A Ck vector field on U, where U an open subset of E, is a Ck function v:U→E.

Let v be a Ck, k≥1, vector field on E. For x∈E, an integral curve of v through x is a differentiable function ϕ:J→E, where J is some open interval in ℝ containing 0, that satisfies

ϕ′⁢(t)=(v∘ϕ)⁢(t),t∈J,ϕ⁢(0)=x.

If ψ:I→E and ϕ:J→E are integral curves of v through x, it is proved that for t∈I∩J, ψ⁢(t)=ϕ⁢(t).2020 20 Rodney Coleman, Calculus on Normed Vector Spaces, p. 194, Proposition 9.3. An integral curve of v through x, ϕ:J→E, is said to be maximal if there is no integral curve of v through x whose domain strictly includes J. If X:E→E is a C1 vector field, for each x∈E it is proved that there is a unique maximal integral curve of v through x, denoted ϕx:Jx→E.2121 21 Rodney Coleman, Calculus on Normed Vector Spaces, p. 194, Theorem 9.2. A vector field v:E→E is called complete when Jx=ℝ for each x∈E. For a vector field v:E→E, a C1 function f:E→ℝ is called a first integral of v if for any integral curve ϕ:J→E of v, f∘ϕ:J→E is constant. It is proved that if a vector field has a first integral f:E→ℝ such that f-1⁢(c) is a compact subset of E for each c∈ℝ, then v is a complete vector field.2222 22 Rodney Coleman, Calculus on Normed Vector Spaces, p. 207, Theorem 9.8.

The flow of v is the function σ:Σv→E, where

Σv=⋃x∈EJx×{x},

such that for each x∈E, σ⁢(t,x)=ϕx⁢(t), t∈Jx. It is proved that Σv is an open subset of ℝ×E, and that σ:Σv→E is continuous.2323 23 Rodney Coleman, Calculus on Normed Vector Spaces, p. 213, Theorem 10.1. It is also proved that for any k≥1, if v is Ck then σ:Σv→E is Ck.2424 24 Rodney Coleman, Calculus on Normed Vector Spaces, p. 222, Theorem 10.3. If (s,x),(t,σ⁢(s,x)),(t+s,x)∈Σv, then2525 25 Yvonne Choquet-Bruhat and Cecile DeWitt-Morette, Analysis, Manifolds and Physics, Part I, p. 551.

σ⁢(t+s,x)=σ⁢(t,σ⁢(s,x)).

When v is a complete vector field, its flow is called a global flow. In this case, for t∈ℝ we define σt:E→E by σt⁢(x)=σ⁢(t,x). Then σt-1=σ-t, and thus each σt is a Ck diffeomorphism E→E.

9 Differential forms

For vector spaces V and W and for p≥1, a function f:Vp→W is called alternating if (v1,…,vp)∈Vp and vi=vi+1 for some 1≤i≤p-1 imply that f⁢(v1,…,vp)=0.

For Banach spaces E and F and for p≥1, we denote by 𝒜p⁢(E;F) the set of alternating elements of ℒp⁢(E;F). In particular, 𝒜1⁢(E;F)=ℒ1⁢(E;F)=ℒ⁢(E;F). 𝒜p⁢(E;F) is a closed linear subspace of the Banach space ℒp⁢(E;F).2626 26 Henri Cartan, Differential Forms, p. 9. We define

𝒜0⁢(E;F)=ℒ0⁢(E;F)=F.

Let Σn be the set of permutation {1,…,n}, which has n! elements. Let Shp,q be the set of permutations σ of {1,…,p,p+1,…,p+q} for which

σ⁢(1)<⋯<σ⁢(p),σ⁢(p+1)<⋯<σ⁢(p+q).

The set Shp,q has (p+qp)=(p+qq) elements.

For f∈𝒜p⁢(E;ℝ) and g∈𝒜q⁢(E;ℝ), we define f∧g:Ep×Eq→ℝ by

(f∧g)⁢(x1,…,xp,xp+1,…,xp+q)=∑σ∈Shp,qsgn⁢(σ)⁢f⁢(xσ⁢(1),…,xσ⁢(p))⁢g⁢(xσ⁢(p+1),…,xσ⁢(p+q)).

It is proved that f∧g∈𝒜p+q⁢(E;ℝ).2727 27 Henri Cartan, Differential Forms, pp. 12–14.

For f∈𝒜p⁢(E;ℝ) and g∈𝒜q⁢(E;ℝ),

∥f∧g∥ =sup∥x1∥≤1,…,∥xp+q∥≤1⁡|(f∧g)⁢(x1,…,xp,xp+1,…,xp+q)|
≤sup∥x1∥≤1,…,∥xp+q∥≤1⁡∑σ∈Shp,q|f⁢(xσ⁢(1),…,xσ⁢(p))⁢g⁢(xσ⁢(p+1),…,xσ⁢(p+q))|
≤sup∥x1∥≤1,…,∥xp+q∥≤1⁡∑σ∈Shp,q∥f∥⁢∥g∥
=(p+qp)⁢∥f∥⁢∥g∥,

showing that the operator norm of the bilinear map (f,g)↦f∧g, 𝒜p⁢(E;ℝ)×𝒜q⁢(E;ℝ) is ≤(p+qp), and thus is continuous.

One proves that for f∈𝒜p⁢(E;ℝ) and g∈𝒜q⁢(E;ℝ), then2828 28 Henri Cartan, Differential Forms, p. 14, Proposition 1.5.1.

g∧f=(-1)p⁢q⁢f∧g.

It is also proved that for f∈𝒜p⁢(E;ℝ), g∈𝒜q⁢(E;ℝ), and h∈𝒜r⁢(E;ℝ), then2929 29 Henri Cartan, Differential Forms, p. 15, Proposition 1.5.2.

(f∧g)∧h=f∧(g∧h).

It thus makes sense to speak about f1∧⋯∧fn. We remind ourselves that 𝒜1⁢(E;ℝ)=ℒ⁢(E;ℝ)=E*. It is proved that if f1,…,fn∈E*, then f1∧⋯∧fn∈𝒜n⁢(E;ℝ) satisfies

f1∧⋯∧fn⁢(x1,…,xn)=∑σ∈Σnsgn⁢(σ)⁢f1⁢(xσ⁢(1))⁢⋯⁢fn⁢(xσ⁢(n)),(x1,…,xn)∈En,

and that f1,…,fn∈E* are linearly independent if and only if f1∧⋯∧fn=0.3030 30 Henri Cartan, Differential Forms, p. 16, Proposition 1.6.1.

Let U be an open subset of the Banach space E. For k≥0 and p≥0, a Ck differential form of degree p on U is a Ck function

α:U→𝒜p⁢(E;ℝ).

We abbreviate “differential form of degree p” as “differential p-form”. In particular, a Ck differential 0-form is a Ck function U→𝒜0⁢(E;ℝ)=ℝ. We denote by Ωp(k)⁢(U,ℝ) the set of Ck differential p-forms on U. It is apparent that this is a real vector space.

For a Ck function f:U→ℝ, with k≥1, the derivative f′ is Ck-1 function U→ℒ⁢(E;ℝ)=𝒜1⁢(E;ℝ), hence f′∈Ωp(k-1)⁢(U).

For α∈Ωp(k)⁢(U,ℝ) and β∈Ωq(k)⁢(U,ℝ), we define α∧:U→𝒜p+q⁢(E;ℝ) by

(α∧β)⁢(x)=(α⁢(x))∧(β⁢(x)),x∈U.

It is proved that α∧β∈Ωp+q(k)⁢(U,ℝ).3131 31 Henri Cartan, Differential Forms, p. 19, §2.2.

Suppose that k≥1 and α∈Ωp(k)⁢(U,ℝ), i.e. α:U→𝒜p⁢(U;ℝ) is a Ck function. Then the derivative is the Ck-1 function

α′:U→ℒ(E;𝒜p(E;ℝ).

We define d⁢α:U→𝒜p+1⁢(E;ℝ) by

(d⁢α)⁢(x)⁢(ξ0,ξ1,…,ξp)=∑i=0p(-1)i⁢α′⁢(x)⁢(ξi)⁢(ξ0,…,ξ^i,…,ξp)

It is proved that d⁢α∈Ωp+1(k-1)⁢(U,ℝ).3232 32 Henri Cartan, Differential Forms, pp. 20–21, §2.3.

In particular, if f:U→ℝ is a Ck function, then d⁢f∈Ω1(k-1)⁢(U,ℝ) is the function d⁢f:U→𝒜1⁢(E;ℝ)=ℒ⁢(E;ℝ) defined by

(d⁢f)⁢(x)⁢(ξ)=f′⁢(x)⁢(ξ),x∈U,ξ∈E.

Thus, d⁢f=f′.

For α∈Ωp(k)⁢(U,ℝ) and β∈Ωq(k)⁢(U,ℝ) with k≥1, it is a fact that3333 33 Henri Cartan, Differential Forms, p. 22, Theorem 2.4.2.

d⁢(α∧β)=(d⁢α)∧β+(-1)p⁢α∧(d⁢β).

In particular, an element f of Ω0(k)⁢(U,ℝ) is a Ck function U→ℝ, for which, because f∧β=f⁢β,

d⁢(f⁢β)=(d⁢f)∧β+f⁢(d⁢β).

For α∈Ωp(k)(U,ℝ), with k≥2,3434 34 Henri Cartan, Differential Forms, p. 23, Theorem 2.5.1.

d⁢(d⁢α)=0.

Let α∈Ωp(k)⁢(U,ℝ), let V be an open subset of a Banach space F, and let ϕ:V→U be a Ck+1 function. The the pullback of α by f, denoted ϕ*⁢α:V→𝒜p⁢(F;ℝ), is an element of Ωp(k)⁢(V,ℝ) satisfying3535 35 Henri Cartan, Differential Forms, p. 29, Proposition 2.8.1.

(ϕ*⁢α)⁢(y)⁢(η1,…,ηp)=α⁢(ϕ⁢(y))⁢(ϕ′⁢(y)⁢(η1),…,ϕ′⁢(y)⁢(ηp)),(η1,…,ηp)∈Fp.

The pullback satisfies, for α∈Ωp(k)⁢(U,ℝ) and β∈Ωq(k)⁢(U,ℝ),

ϕ*⁢(α∧β)=(ϕ*⁢α)∧(ϕ*⁢β),

which is an element of Ωp+q(k)⁢(V,ℝ). It also satisfies, if ϕ:V→U and f:U→ℝ are C1,

ϕ*⁢(d⁢f)=d⁢(ϕ*⁢f),

where (ϕ*⁢f)⁢(y)=f⁢(ϕ⁢(y)).

10 Contractions and Lie derivatives

Let U be an open subset of a Banach space E, let k≥1, p≥1, let v be a Ck vector field on U, and let α∈Ωp(k)⁢(U,ℝ). We define ιv⁢α:U→𝒜p-1⁢(E;ℝ) by

(ιv⁢α)⁢(x)⁢(v1,…,vp-1)=α⁢(v⁢(x),v1,…,vp-1),(v1,…,vp-1)∈Ep-1.

(It is straightforward to check that indeed (ιv⁢α)⁢(x)∈𝒜p-1⁢(E;ℝ).) It is proved that ιv⁢α:U→𝒜p-1⁢(E;ℝ) is Ck, and thus ιv⁢α∈Ωp-1(k)⁢(U,ℝ).3636 36 cf. Serge Lang, Differential and Riemannian Manifolds, p. 137, V, §5. For p=0, with f∈Ω0(k)⁢(U,ℝ), i.e. f is a Ck function U→ℝ, we define ιv⁢f=0. We call ιv⁢α the contraction of α by v.

It can be proved that if α∈Ωp(k)⁢(U,ℝ) and β∈Ωq(k)⁢(U,ℝ),

ιv⁢(α∧β)=(ιv⁢α)∧β+(-1)p⁢α∧ιv⁢β.

Also, for a Ck vector field w on U,

ιv⁢(ιw⁢α)=-ιw⁢(ιv⁢α),

and hence ιv2⁢α=0. And (v,α)↦ιv⁢α is bilinear.

For a Ck vector field v on U and α∈Ωp(k)⁢(U,ℝ), the Lie derivative of α with respect to v is3737 37 cf. Serge Lang, Differential and Riemannian Manifolds, pp. 138–141, V, §5.

ℒv⁢α=d⁢(ιv⁢α)+ιv⁢d⁢α∈Ωp(k)⁢(U,ℝ).

The Lie derivative satisfies

ℒv⁢(α∧β)=(ℒv⁢α)∧β+α∧ℒv⁢β.

If ω is a weak symplectic form on a Banach space E and v is a C1 vector field on E, we say that v is a symplectic vector field if

ℒv⁢ω=0.

If there is some C1 function H:E→E such that

ιv⁢ω=-d⁢H,

we say that v is a Hamiltonian vector field with Hamiltonian function H. If v is a Hamiltonian vector field with Hamiltonian function H, then

ℒv⁢ω=d⁢(ιv⁢ω)+ιv⁢d⁢ω=d⁢(ιv⁢ω)=d⁢(-d⁢H)=-d2⁢H=0,

showing that if a vector field is Hamiltonian then it is symplectic. (This is analogous to the statement that if a differential form is exact then it is closed.)