Unbounded operators in a Hilbert space and the Trotter product formula

Jordan Bell
August 25, 2015

1 Unbounded operators

Let H be a Hilbert space with inner product ⟨⋅,⋅⟩. We do not assume that H is separable. By an operator in H we mean a linear subspace 𝒟⁢(T) of H and a linear map T:𝒟⁢(T)→H. We define

ℛ⁢(T)={T⁢x:x∈𝒟⁢(T)}.

If 𝒟⁢(T) is dense in H we say that T is densely defined.

Write

𝒢⁢(T)={(x,y)∈H×H:x∈𝒟⁢(T),y=T⁢x}.

When 𝒢⁢(T)⊂𝒢⁢(S), we write

T⊂S,

and say that S is an extension of T. If 𝒢⁢(T) is a closed linear subspace of H×H, we say that T is closed.

We say that an operator T in H is closable if there is a closed operator S in H such that T⊂S. If T is closable, one proves that there is a unique closed operator T¯ in H with T⊂T¯ and such that if S is a closed operator satisfying T⊂S then T¯⊂S.

Suppose that T is a densely defined operator in H. We define 𝒟⁢(T*) to be the set of those y∈H for which

x↦⟨T⁢x,y⟩,x∈𝒟⁢(T),

is continuous. For y∈𝒟⁢(T*), by the Hahn-Banach theorem there is some λy∈H* such that

λy⁢x=⟨T⁢x,y⟩,x∈𝒟⁢(T).

Next, by the Riesz representation theorem, there is a unique xy∈H such that

λy⁢x=⟨x,xy⟩,x∈H,

and hence

⟨x,xy⟩=⟨T⁢x,y⟩,x∈𝒟⁢(T).

If v∈H satisfies

⟨x,v⟩=⟨T⁢x,y⟩,x∈𝒟⁢(T),

then

⟨x,v⟩=⟨x,xy⟩,x∈𝒟⁢(T),

and because 𝒟⁢(T) is dense in H this implies that v=xy. We define T*:𝒟⁢(T*)→H by T*⁢y=xy, which satisfies

⟨T⁢x,y⟩=⟨x,T*⁢y⟩,x∈𝒟⁢(T).

T* is called the adjoint of T. One checks that 𝒟⁢(T*) is a linear subspace of H and that T*:𝒟⁢(T*)→H is a linear map. We say that T is self-adjoint when T=T*.

For operators S and T in H we define

𝒟⁢(S+T)=𝒟⁢(S)∩𝒟⁢(T)

and

𝒟⁢(S⁢T)={x∈𝒟⁢(T):T⁢x∈𝒟⁢(S)}.

One checks that

(R+S)+T=R+(S+T),(R⁢S)⁢T=R⁢(S⁢T),

and

R⁢T+S⁢T=(R+S)⁢T,T⁢R+T⁢S⊂T⁢(R+S).

We now determine the adjoint of products of densely defined operators.11 1 Walter Rudin, Functional Analysis, second ed., p. 348, Theorem 13.2.

Theorem 1.

If S, T, and S⁢T are densely defined operators in H, then

T*⁢S*⊂(S⁢T)*.

If S∈B⁢(H), then

T*⁢S*=(S⁢T)*.
Proof.

Let y∈𝒟⁢(T*⁢S*) and let x∈𝒟⁢(S⁢T). Then S*⁢y∈𝒟⁢(T*) and x∈𝒟⁢(T), so

⟨T⁢x,S*⁢y⟩=⟨x,T*⁢S*⁢y⟩.

On the other hand, y∈𝒟⁢(S*), so

⟨S⁢T⁢x,y⟩=⟨T⁢x,S*⁢y⟩.

Hence

⟨S⁢T⁢x,y⟩=⟨x,T*⁢S*⁢y⟩,

which implies that (S⁢T)*⁢y=T*⁢S*⁢y for each y∈𝒟⁢(T*⁢S*), that is, T*⁢S*⊂(S⁢T)*.

Suppose that S∈ℬ⁢(H), hence S*∈ℬ⁢(H), for which 𝒟⁢(S*)=H. Let y∈𝒟⁢((S⁢T)*). For x∈𝒟⁢(S⁢T),

⟨T⁢x,S*⁢y⟩=⟨S⁢T⁢x,y⟩=⟨x,(S⁢T)*⁢y⟩.

This implies that S*⁢y∈𝒟⁢(T*) and hence y∈𝒟⁢(T*⁢S*), showing

𝒟⁢((S⁢T)*)⊂𝒟⁢(T*⁢S*).

∎

If T is an operator in H, we say that T is symmetric if

⟨T⁢x,y⟩=⟨x,T⁢y⟩,x,y∈𝒟⁢(T).
Theorem 2.

Let T be a densely defined operator in H. T is symmetric if and only if T⊂T*.

Proof.

Suppose that T is symmetric and let (y,T⁢y)∈𝒢⁢(T). For x∈𝒟⁢(T),

|⟨T⁢x,y⟩|=|⟨x,T⁢y⟩|≤∥x∥⁢∥T⁢y∥,

hence x↦⟨T⁢x,y⟩ is continuous on 𝒟⁢(T), i.e. y∈𝒟⁢(T*). For x∈𝒟⁢(T), on the one hand,

⟨T⁢x,y⟩=⟨x,T*⁢y⟩,

and on the other hand,

⟨T⁢x,y⟩=⟨x,T⁢y⟩.

Therefore ⟨x,T*⁢y⟩=⟨x,T⁢y⟩ for all x∈𝒟⁢(T), and because 𝒟⁢(T) is dense in H we get that T*⁢y=T⁢y, i.e. (y,T⁢y)∈𝒢⁢(T*). Therefore 𝒢⁢(T)⊂𝒢⁢(T*).

Suppose that 𝒢⁢(T)⊂𝒢⁢(T*). Let x,y∈𝒟⁢(T). We have (y,T⁢y)∈𝒢⁢(T*), i.e. y∈𝒟⁢(T*) and T*⁢y=T⁢y. Hence

⟨T⁢x,y⟩=⟨x,T*⁢y⟩=⟨x,T⁢y⟩,

showing that T is symmetric. ∎

One proves that if T is a symmetric operator in H then T is closable and T¯ is symmetric. An operator T in H is said to be essentially self-adjoint when T is densely defined, symmetric, and T¯ (which is densely defined) is self-adjoint.

2 Graphs

For (a,b),(c,d)∈H×H, we define

⟨(a,b),(c,d)⟩=⟨a,c⟩+⟨b,d⟩.

This is an inner product on H×H with which H×H is a Hilbert space. We define V:H×H→H×H by

V⁢(a,b)=(-b,a),(a,b)∈H×H,

which belongs to ℬ⁢(H×H). It is immediate that V⁢V*=I and V*⁢V=I, namely, V is unitary. As well, V2=-I, whence if M is a linear subspace of H×H then V2⁢M=M. The following theorem relates the graphs of a densely defined operator and its adjoint.22 2 Walter Rudin, Functional Analysis, second ed., p. 352, Theorem 13.8.

Theorem 3.

Suppose that T is a densely defined operator in H. It holds that

𝒢⁢(T*)=(V⁢𝒢⁢(T))⟂.
Theorem 4.

If T is a densely defined operator in H, then T* is a closed operator.

Proof.

V⁢𝒢⁢(T) is a linear subspace of H×H. The orthogonal complement of a linear subspace of a Hilbert space is a closed linear subspace of the Hilbert space, and thus Theorem 3 tells us that 𝒢⁢(T*) is a closed linear subspace of H×H, namely, T* is a closed operator. ∎

Let T be a densely defined operator in H. If T is self-adjoint, then the above theorem tells us that T is itself a closed operator.

Theorem 5.

Suppose that T is a closed densely defined operator in H. Then

H×H=V⁢𝒢⁢(T)⊕𝒢⁢(T*)

is an orthogonal direct sum.

Proof.

Generally, if M is a linear subspace of H×H,

H×H=M¯⊕M⟂=M¯⊕(M¯)⟂

is an orthogonal direct sum. For M=V⁢𝒢⁢(T), because 𝒢⁢(T) is a closed linear subspace of H×H, so is M. Thus

H×H=V⁢𝒢⁢(T)⊕(V⁢𝒢⁢(T))⟂.

By Theorem 3, this is

H×H=V⁢𝒢⁢(T)⊕𝒢⁢(T*),

proving the claim. ∎

If T is an operator in H that is one-to-one, we define 𝒟⁢(T-1)=ℛ⁢(T), and T-1 is a densely defined operator with domain 𝒟⁢(T-1).

The following theorem establishes several properties of symmetric densely defined operators.33 3 Walter Rudin, Functional Analysis, second ed., p. 353, Theorem 13.11. We remind ourselves that if T is an operator in H, the statement 𝒟⁢(T)=H means that T is a linear map H→H, from which it does not follow that T is continuous.

Theorem 6.

Suppose that T is a densely defined symmetric operator in H. Then the following statements are true:

  1. 1.

    If 𝒟⁢(T)=H then T is self-adjoint and T∈ℬ⁢(H).

  2. 2.

    If T is self-adjoint and one-to-one, then ℛ⁢(T) is dense in H and T-1 is densely defined and self-adjoint.

  3. 3.

    If ℛ⁢(T) is dense in H, then T is one-to-one.

  4. 4.

    If ℛ⁢(T)=H, then T is self-adjoint and T-1∈ℬ⁢(H).

If T∈ℬ⁢(H) then T**=T. The following theorem says that this is true for closed densely defined operators.44 4 Walter Rudin, Functional Analysis, second ed., p. 354, Theorem 13.12.

Theorem 7.

If T is a closed densely defined operator in H, then D⁢(T*) is dense in H and T**=T.

The following theorem gives statements about I+T*⁢T when T is a closed densely defined operator.55 5 Walter Rudin, Functional Analysis, second ed., p. 354, Theorem 13.13.

Theorem 8.

Suppose that T is a closed densely defined operator in H and let Q=I+T*⁢T, with

𝒟⁢(Q)=𝒟⁢(T*⁢T)={x∈𝒟⁢(T):T⁢x∈𝒟⁢(T*)}.

The following statements are true:

  1. 1.

    Q:𝒟⁢(Q)→H is a bijection, and there are B,C∈ℬ⁢(H) with ∥B∥≤1, B≥0, ∥C∥≤1, C=T⁢B, and

    B⁢(I+T*⁢T)⊂(I+T*⁢T)⁢B=I.

    T*⁢T is self-adjoint.

  2. 2.

    Let T0 be the restriction of T to 𝒟⁢(T*⁢T). Then 𝒢⁢(T0) is dense in 𝒢⁢(T).

Let T be a symmetric operator in H. We say that T is maximally symmetric if T⊂S and S being symmetric imply that S=T. One proves that a self-adjoint operator is maximally symmetric.66 6 Walter Rudin, Functional Analysis, second ed., p. 356, Theorem 13.15.

The following theorem is about T+i⁢I when T is a symmetric operator in H.77 7 Walter Rudin, Functional Analysis, second ed., p. 356, Theorem 13.16.

Theorem 9.

Suppose that T is a symmetric operator in H and let j be i or -i. Then:

  1. 1.

    ∥T⁢x+j⁢x∥2=∥x∥2+∥T⁢x∥2 for x∈𝒟⁢(T).

  2. 2.

    T is closed if and only if ℛ⁢(T+j⁢I) is a closed subset of H.

  3. 3.

    T+j⁢I is one-to-one.

  4. 4.

    If ℛ⁢(T+j⁢I)=H then T is maximally symmetric.

3 The Cayley transform

Let T be a symmetric operator in H and define

𝒟⁢(U)=ℛ⁢(T+i⁢I).

Theorem 9 tells us that T+i⁢I is one-to-one. Because

𝒟⁢(T-i⁢I)=𝒟⁢(T)=𝒟⁢(T-i⁢I)

and 𝒟⁢((T+i⁢I)-1)=ℛ⁢(T+i⁢I),

𝒟⁢((T-i⁢I)⁢(T+i⁢I)-1) ={x∈ℛ⁢(T+i⁢I):(T+i⁢I)-1⁢x∈𝒟⁢(T)}
={x∈ℛ⁢(T+i⁢I):(T+i⁢I)-1⁢x∈𝒟⁢(T+i⁢I)}
=ℛ⁢(T+i⁢I)
=𝒟⁢(U).

We define

U=(T-i⁢I)⁢(T+i⁢I)-1.

U is called the Cayley transform of T.

We have

ℛ⁢(U)=U⁢𝒟⁢(U)=U⁢ℛ⁢(T+i⁢I)=(T-i⁢I)⁢(T+i⁢I)-1⁢ℛ⁢(T+i⁢I)=(T-i⁢I)⁢𝒟⁢(T+i⁢I),

and 𝒟⁢(T+i⁢I)=𝒟⁢(T)=𝒟⁢(T-i⁢I) so

ℛ⁢(U)=(T-i⁢I)⁢𝒟⁢(T-i⁢I)=ℛ⁢(T-i⁢I).

Also, for x∈𝒟⁢(T), Theorem 9 tells us

∥(T+i⁢I)⁢x∥2=∥T⁢x+i⁢x∥2=∥x∥2+∥T⁢x∥2=∥T⁢x-i⁢x∥2=∥(T-i⁢I)⁢x∥2,

hence for x∈𝒟⁢(U), for which (T+i⁢I)-1⁢x∈𝒟⁢(T+i⁢I)=𝒟⁢(T),

∥U⁢x∥=∥(T-i⁢I)⁢(T+i⁢I)-1⁢x∥=∥(T+i⁢I)⁢(T+i⁢I)-1⁢x∥=∥x∥,

showing that U is an isometry in H.

The Cayley transform of a symmetric operator in H (which we do not presume to be densely defined) has the following properties.88 8 Walter Rudin, Functional Analysis, second ed., p. 385, Theorem 13.19.

Theorem 10.

Suppose that T is a symmetric operator in H. Then:

  1. 1.

    U is closed if and only if T is closed.

  2. 2.

    ℛ⁢(I-U)=𝒟⁢(T), I-U is one-to-one, and

    T=i⁢(I+U)⁢(I-U)-1.
  3. 3.

    U is unitary if and only if T is self-adjoint.

If V is an operator in H that is an isometry and I-V is one-to-one, then there is a symmetric operator S in H such that V is the Cayley transform of S.

4 Resolvents

Let T be an operator in H. The resolvent set of T, denoted ρ⁢(T), is the set of those λ∈ℂ such that T-λ⁢I:𝒟⁢(T)→H is a bijection and (T-λ⁢I)-1∈ℬ⁢(H). That is, λ∈ρ⁢(T) if and only if there is some S∈ℬ⁢(H) such that

S⁢(T-λ⁢I)⊂(T-λ⁢I)⁢S=I.

We call R:ρ⁢(T)→ℬ⁢(H) defined by

R⁢(λ)=(T-λ⁢I)-1

the resolvent of T. The spectrum of T is σ⁢(T)=ℂ∖ρ⁢(T). It is a fact that ρ⁢(T) is open, that σ⁢(T) is closed, and that if σ⁢(T)≠ℂ then T is a closed operator, that

R⁢(z)-R⁢(w)=(z-w)⁢R⁢(z)⁢R⁢(w),z,w∈ρ⁢(T),

and

dn⁢Rd⁢zn⁢(z)=n!⁢Rn+1⁢(z),z∈ρ⁢(T).

If T is a self-adjoint operator in H, one proves that σ⁢(T)⊂ℝ.

5 Resolutions of the identity

Let (Ω,𝒮) be a measurable space. A resolution of the identity is a function

E:𝒮→ℬ⁢(H)

satisfying:

  1. 1.

    E⁢(∅)=0, E⁢(Ω)=I.

  2. 2.

    For each a∈𝒮, E⁢(a) is a self-adjoint projection.

  3. 3.

    E⁢(a∩b)=E⁢(a)⁢E⁢(b).

  4. 4.

    If a∩b=∅, then E⁢(a∪b)=E⁢(a)+E⁢(b).

  5. 5.

    For each x,y∈H, the function Ex,y:𝒮→ℂ defined by

    Ex,y⁢(a)=⟨E⁢(a)⁢x,y⟩,a∈𝒮,

    is a complex measure on 𝒮.

We check that if an∈𝒮 and E⁢(an)=0 for each n=1,2,…, then for a=⋃n=1∞an, E⁢(a)=0.

Let {Di} be a countable collection of open discs that is a base for the topology of ℂ, i.e., ⋃Di=ℂ and for each i,j and for z∈Di∩Dj, there is some k such that x∈Dk⊂Di∩Dj. Let f:(Ω,𝒮)→(ℂ,ℬℂ) be a measurable function and let V be the union of those Di for which E⁢(f-1⁢(Di))=0. Then E⁢(f-1⁢(V))=0. The essential range of f is ℂ∖V, and we say that f is essentially bounded if the essential range of f is a bounded subset of ℂ. We define the essential supremum of f to be

∥f∥∞=sup{|λ|:λ∈ℂ∖V}.

Now define B to be the collection of bounded measurable functions (Ω,𝒮)→(ℂ,ℬℂ), which is a Banach algebra with the norm

sup{|f(ω):ω∈Ω},

for which

N={f∈B:∥f∥∞=0}

is a closed ideal. Then B/N is a Banach algebra, denoted L∞⁢(E), with the norm

∥f+N∥∞=∥f∥∞.

The unity of L∞⁢(E) is 1+N. Because L∞⁢(E) is a Banach algebra, it makes sense to speak about the spectrum of an element of L∞⁢(E). For f+N∈L∞⁢(E), the spectrum of f+N is the set of those λ∈ℂ for which there is no g+N∈L∞⁢(E) satisfying (g+N)⁢(f+N-λ⁢(1+N))=1+N. Check that the spectrum of f+N is equal to the essential range of g, for any g∈f+N.

A subset A of ℬ⁢(H) is said to be normal when S⁢T=T⁢S for all S,T∈A and T∈A implies that T*∈A.99 9 Walter Rudin, Functional Analysis, second ed., p. 319, Theorem 12.21. (To say that T∈ℬ⁢(H) is normal means that T⁢T*=T*⁢T, and this is equivalent to the statement that the set {T,T*} is normal.)

Theorem 11.

If (Ω,S) is a measurable space and E:S→H is a resolution of the identity, then there is a closed normal subalgebra A of B⁢(H) and a unique isometric *-isomorphism Ψ:L∞⁢(E)→A such that

⟨Ψ⁢(f)⁢x,y⟩=∫Ωf⁢𝑑Ex,y,f∈L∞⁢(E),x,y∈H.

Furthermore,

∥Ψ⁢(f)⁢x∥2=∫Ω|f|2⁢𝑑Ex,x,f∈L∞⁢(E),x∈H.

For f∈L∞⁢(E), we define

∫Ωf⁢𝑑E=Ψ⁢(f).

For L∞⁢(E), σ⁢(Ψ⁢(f)) is equal to the essential range of f.1010 10 Walter Rudin, Functional Analysis, second ed., p. 366, Theorem 13.27.

6 The spectral theorem

The following is the spectral theorem for self-adjoint operators.1111 11 Walter Rudin, Functional Analysis, second ed., p. 368, Theorem 13.30.

Theorem 12.

If T is a self-adjoint operator in H, then there is a unique resolution of the identity

E:ℬℝ→ℬ⁢(H)

such that

⟨T⁢x,y⟩=∫ℝλ⁢𝑑Ex,y⁢(λ),x∈𝒟⁢(T),y∈H.

This resolution of the identity satisfies E⁢(σ⁢(T))=I.

If T is a self-adjoint operator in H applying the spectral theorem and then Theorem 11, we get that there is a closed normal subalgebra A of ℬ⁢(H) and a unique isometric *-isomorphism Ψ:L∞⁢(E)→A such that

⟨Ψ⁢(f)⁢x,y⟩=∫σ⁢(T)f⁢(λ)⁢𝑑Ex,y⁢(λ),f∈L∞⁢(E),x,y∈H.

For t∈ℝ and ft:σ⁢(T)→ℂ defined by ft⁢(λ)=ei⁢t⁢λ, this defines

ei⁢t⁢T=Ψ⁢(ft)=∫σ⁢(T)ei⁢t⁢λ⁢𝑑E⁢(λ).

Because Ψ is a *-homomorphism, for t∈ℝ we have

Ψ⁢(ft)*⁢Ψ⁢(ft)=Ψ⁢(ft¯)⁢Ψ⁢(ft)=Ψ⁢(f-t)⁢Ψ⁢(ft)=Ψ⁢(f-t⁢ft)=Ψ⁢(f0)=I,

and likewise Ψ⁢(ft)⁢Ψ⁢(ft)*=I, showing that ei⁢t⁢T=Ψ⁢(ft) is unitary. We denote by 𝒰⁢(H) the collection of unitary elements of ℬ⁢(H). 𝒰⁢(H) is a subgroup of the group of invertible elements of ℬ⁢(H).

Furthermore, because Ψ is a *-homomorphism, for t∈ℝ we have

I=Ψ⁢(f0)=Ψ⁢(ft⁢f-t)=Ψ⁢(ft)⁢Ψ⁢(f-t)=ei⁢t⁢T⁢ei⁢(-t)⁢T,

and for s,t∈ℝ we have

ei⁢s⁢T⁢ei⁢t⁢T=Ψ⁢(fs)⁢Ψ⁢(ft)=Ψ⁢(fs⁢ft)=Ψ⁢(fs+t)=ei⁢(s+t)⁢T,

showing that t↦ei⁢t⁢T is a one-parameter group ℝ→ℬ⁢(H).

For t∈ℝ and x∈H, by Theorem 11 we have

∥Ψt⁢x-x∥2=∥Ψ⁢(ft-1)⁢x∥2=∫σ⁢(T)|ft-1|2⁢𝑑Ex,x=∫σ⁢(T)|ei⁢t⁢λ-1|2⁢𝑑Ex,x⁢(λ).

For each λ∈σ⁢(T), |ei⁢t⁢λ-1|2→0 as t→0, and thus we get by the dominated convergence theorem

∫σ⁢(T)|ei⁢t⁢λ-1|2⁢𝑑Ex,x⁢(λ)→0,t→0.

That is, for each x∈H,

∥ei⁢t⁢T⁢x-x∥→0

as t→0, showing that t↦ei⁢t⁢T is strongly continuous, i.e. t↦ei⁢t⁢T is continuous ℝ→ℬ⁢(H) where ℬ⁢(H) has the strong operator topology.

Conversely, Stone’s theorem on one-parameter unitary groups1212 12 cf. Walter Rudin, Functional Analysis, second ed., p. 382, Theorem 38. states that if {Ut:t∈ℝ} is a strongly continuous one-parameter group of bounded unitary operators on H, then there is a unique self-adjoint operator A in H such that Ut=ei⁢t⁢A for each t∈ℝ.

For t≠0, define gt:σ⁢(T)→ℂ by gt⁢(λ)=ei⁢t⁢λ-1t. By Theorem 12, for x∈𝒟⁢(T) and y∈H,

⟨i⁢T⁢x,y⟩=i⁢⟨T⁢x,y⟩=i⁢∫ℝλ⁢𝑑Ex,y⁢(λ)

and by Theorem 11,

⟨Ψ⁢(gt)⁢x,y⟩=∫σ⁢(T)gt⁢𝑑Ex,y=∫σ⁢(T)ei⁢t⁢λ-1t⁢𝑑Ex,y⁢(λ),

so

⟨Ψ⁢(gt)⁢x-i⁢T⁢x,y⟩=∫σ⁢(T)(ei⁢t⁢λ-1t-i⁢λ)⁢𝑑Ex,y⁢(λ).

For each λ∈σ⁢(T), ei⁢t⁢λ-1t-i⁢λ→0 as t→0, and for each t,

|ei⁢t⁢λ-1t-i⁢λ|≤|ei⁢t⁢λ-1t|+|λ|≤2⁢|λ|,

and as x∈𝒟⁢(T), by Theorem 12 we have that λ↦|λ| belongs to L1⁢(Ex,y). Thus by the dominated convergence theorem,

⟨Ψ⁢(gt)⁢x-i⁢T⁢x,y⟩=∫σ⁢(T)(ei⁢t⁢λ-1t-i⁢λ)⁢𝑑Ex,y⁢(λ)→0

as t→0. In particular,

∥Ψ⁢(gt)⁢x-i⁢T⁢x∥2→0

as t→0. That is, for each x∈𝒟⁢(T),

ei⁢t⁢T⁢x-xt→i⁢T⁢x

as t→0. In other words, i⁢T is the infinitesimal generator of the one-parameter group ei⁢t⁢T.1313 13 cf. Walter Rudin, Functional Analysis, second ed., p. 376, Theorem 13.35. We remark that because T*=T, the adjoint of i⁢T is (i⁢T)*=i¯⁢T*=-i⁢T*=-i⁢T=-(i⁢T).

7 Trotter product formula

We remind ourselves that for an operator T in H to be closed means that 𝒢⁢(T) is a closed linear subspace of H×H.

Theorem 13.

Let T be an operator in H. T is closed if and only if the linear space D⁢(T) with the norm

∥x∥T=∥x∥+∥T⁢x∥.

is a Banach space.

The following is the Trotter product formula, which shows that if A, B, and A+B are self-adjoint operators in a Hilbert space, then for each t, (ei⁢t⁢A/n⁢ei⁢t⁢B/n)n converges strongly to ei⁢t⁢(A+B) as n→∞.1414 14 Barry Simon, Functional Integration and Quantum Physics, p. 4, Theorem 1.1; Konrad Schmüdgen, Unbounded Self-adjoint Operators on Hilbert Space, p. 122, Theorem 6.4.

Theorem 14.

Let H be a Hilbert space, not necessarily separable. If A and B are self-adjoint operators in H such that A+B is a self-adjoint operator in H, then for each t∈R and for each ψ∈H,

ei⁢t⁢(A+B)⁢ψ=limn→∞⁡((ei⁢t⁢A/n⁢ei⁢t⁢b/n)n⁢ψ).
Proof.

The claim is immediate for t=0, and we prove the claim for t>0; it is straightforward to obtain the claim for t<0 using the truth of the claim for t>0. Let D=𝒟⁢(A+B)=𝒟⁢(A)∩𝒟⁢(B). Because A+B is self-adjoint, A+B is closed (Theorem 4), so by Theorem 13, the linear space D with the norm ∥ϕ∥A+B=∥ϕ∥+∥(A+B)⁢ϕ∥ is a Banach space. Because D is a Banach space, the uniform boundedness principle1515 15 Walter Rudin, Functional Analysis, second ed., p. 45, Theorem 2.6. tells us that if Γ is a collection of bounded linear maps D→H and if for each ϕ∈D the set {γ⁢ϕ:γ∈Γ} is bounded in H, then the set {∥γ∥:γ∈Γ} is bounded, i.e. there is some C such that ∥γ⁢ϕ∥≤C⁢∥ϕ∥A+B for all γ∈Γ and all ϕ∈D.

For s∈ℝ, let Ss=ei⁢s⁢(A+B), Vs=ei⁢s⁢A, Ws=ei⁢s⁢B, Us=Vs⁢Ws, which each belong to ℬ⁢(H). For n≥1,

∑j=0n-1Ut/nj⁢(St/n-Ut/n)⁢St/nn-j-1=Ut/nn-St/nn=Ut/nn-St,

so, because a product of unitary operators is a unitary operator and a unitary operator has operator norm 1 and also using the fact that St/nn-j-1=St-j+1n, for ξ∈H we have

∥(St-Ut/nn)⁢ξ∥ =∥∑j=0n-1Ut/nj⁢(St/n-Ut/n)⁢St/nn-j-1⁢ξ∥
≤∑j=0n-1∥(St/n-Ut/n)⁢St/nn-j-1⁢ξ∥
=∑j=0n-1∥(St/n-Ut/n)⁢St-j+1n⁢ξ∥
≤∑j=0n-1sup0≤s≤t⁡∥(St/n-Ut/n)⁢Ss⁢ξ∥.

That is,

∥(St-Ut/nn)⁢ξ∥≤n⁢sup0≤s≤t⁡∥(St/n-Ut/n)⁢Ss⁢ξ∥,ξ∈H,n≥1. (1)

Let ϕ∈D. On the one hand, because i⁢(A+B) is the infinitesimal generator of {Ss:s∈ℝ}, we have

Ss-Is⁢ϕ→i⁢(A+B)⁢ϕ,s↓0. (2)

On the other hand, for s≠0 we have, because an infinitesimal generator of a one-parameter group commutes with each element of the one-parameter group,

Vs⁢(i⁢B⁢ϕ)+Vs⁢(Ws-Is-i⁢B)⁢ϕ+Vs-Is⁢ϕ=Us-Is⁢ϕ,

and as Vs converges strongly to I as s↓0 and as i⁢B is the infinitesimal generator of the one-parameter group {Ws:s∈ℝ} and i⁢A is the infinitesimal generator of the one-parameter group {Vs:s∈ℝ},

Vs⁢(i⁢B⁢ϕ)+Vs⁢(Ws-Is-i⁢B)⁢ϕ+Vs-Is⁢ϕ→i⁢B⁢ϕ+i⁢A⁢ϕ

as s↓0, i.e.

Us-Is⁢ϕ→i⁢(A+B)⁢ϕ,s↓0. (3)

Using (2) and (3), we get that for each ϕ∈D,

Ss-Uss⁢ϕ→0,s↓0.

Therefore, for each ϕ∈D, with s=t/n we have

nt⁢(St/n-Ut/n)⁢ϕ→0,n→∞,

equivalently (t is fixed for this whole theorem),

limn→∞⁡∥n⁢(St/n-Ut/n)⁢ϕ∥=0,ϕ∈D. (4)

For each n≥1, define γn:D→H by γn=n⁢(St/n-Ut/n). Each γn is a linear map, and for ϕ∈D,

∥γn⁢ϕ∥≤n⁢∥St/n⁢ϕ∥+n⁢∥Ut/n⁢ϕ∥≤n⁢∥ϕ∥+n⁢∥ϕ∥≤2⁢n⁢∥ϕ∥A+B,

showing that each γn is a bounded linear map D→H, where D is a Banach space with the norm ∥ϕ∥A+B=∥ϕ∥+∥(A+B)⁢ϕ∥. Moreover, (4) shows that for each ϕ∈D, there is some Cϕ such that

∥γn⁢ϕ∥≤Cϕ,n≥1.

Then applying the uniform boundedness principle, we get that there is some C>0 such that for all n≥1 and for all ϕ∈D,

∥γn⁢ϕ∥≤C⁢∥ϕ∥A+B,

i.e.

∥n⁢(St/n-Ut/n)⁢ϕ∥≤C⁢∥ϕ∥A+B,n≥1,ϕ∈D. (5)

Let K be a compact subset of D, where D is a Banach space with the norm ∥ϕ∥A+B=∥ϕ∥+∥(A+B)⁢ϕ∥. Then K is totally bounded, so for any ϵ>0, there are ϕ1,…,ϕM∈K such that K⊂⋃m=1MBϵ/C⁢(ϕm). By (4), for each m, 1≤m≤M, there is some nm such that when n≥nm,

∥n⁢(St/n-Ut/n)⁢ϕm∥≤ϵ.

Let N=max⁡{n1,…,nM}. For n≥N and for ϕ∈D, there is some m for which ∥ϕ-ϕm∥A+B<ϵC, and using (5), as ϕ-ϕm∈D, we get

∥n⁢(St/n-Ut/n)⁢ϕ∥ ≤∥n⁢(St/n-Ut/n)⁢(ϕ-ϕm)∥+∥n⁢(St/n-Ut/n)⁢ϕm∥
≤C⁢∥ϕ-ϕm∥A+B+ϵ
<ϵ+ϵ.

This shows that any compact subset K of D and ϵ>0, there is some nϵ such that if n≥nϵ and ϕ∈K, then

∥n⁢(St/n-Ut/n)⁢ϕ∥<ϵ. (6)

Let ϕ∈D, let s0∈ℝ, and let ϵ>0. Because s↦Ss is strongly continuous ℝ→ℬ⁢(H), there is some δ1>0 such that when |s-s0|<δ1, ∥Ss⁢ϕ-Ss0⁢ϕ∥<ϵ, and there is some δ2>0 such that when |s-s0|<δ2, ∥Ss⁢(A+B)⁢ϕ-Ss0⁢(A+B)⁢ϕ∥<ϵ, and hence with δ=min⁡{δ1,δ2}, when |s-s0|<δ we have

∥Ss⁢ϕ-Ss0⁢ϕ∥A+B =∥Ss⁢ϕ-Ss0⁢ϕ∥+∥(A+B)⁢(Ss⁢ϕ-Ss0⁢ϕ)∥
=∥Ssϕ-Ss0ϕ∥+∥Ss(A+B)ϕ-Ss0(A+B)ϕ)∥
<ϵ+ϵ,

showing that s↦Ss⁢ϕ is continuous ℝ→D. Therefore {Ss⁢ϕ:0≤s≤t} is a compact subset of D, so applying (6) we get that for any ϵ>0, there is some nϵ such that if n≥nϵ and 0≤s≤t, then

∥n⁢(St/n-Ut/n)⁢Ss⁢ϕ∥<ϵ,

and therefore if n≥nϵ then

sup0≤s≤t⁡∥n⁢(St/n-Ut/n)⁢Ss⁢ϕ∥≤ϵ. (7)

Finally, let ϵ>0. The statement that A+B is self-adjoint in H entails the statement that D is dense in H, so there is some ϕ∈D such that ∥ϕ-ψ∥<ϵ. For n≥1,

∥(St-Ut/nn)⁢ψ∥ ≤∥(St-Ut/nn)⁢(ψ-ϕ)∥+∥(St-Ut/nn)⁢ϕ∥
≤2⁢∥ψ-ϕ∥+∥(St-Ut/nn)⁢ϕ∥
<ϵ+∥(St-Ut/nn)⁢ϕ∥.

Using (1) with ξ=ϕ and then using (7), there is some nϵ such that when n≥nϵ,

∥(St-Ut/nn)⁢ϕ∥≤n⁢sup0≤s≤t⁡∥(St/n-Ut/n)⁢Ss⁢ϕ∥≤ϵ.

Therefore for n≥nϵ,

∥(St-Ut/nn)⁢ψ∥<2⁢ϵ,

proving the claim. ∎