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Lecture 5 Wavelet Transform, Uncertainty Relation and Analyticity

There are two and a half main examples of reproducing kernel spaces of analytic function. One is the Fock–Segal–Bargmann (FSB) space and others (one and a half) – the Bergman and Hardy spaces on the upper half-plane. The first space is generated by the Heisenberg group [197]*§ 7.3 [104]*§ 1.6, two others – by the group SL2(ℝ) [197]*§ 4.2 (this explains our way of counting).

Those spaces have the following properties, which make their study particularly pleasant and fruitful:

  1. There is a group, which acts transitively on functions’ domain.
  2. There is a reproducing kernel.
  3. The space consists of holomorphic functions.

Furthermore, for FSB space there is the following property:

  1. The reproducing kernel is generated by a function, which minimises the uncertainty for coordinate and momentum observables.

It is known, that a transformation group is responsible for the appearance of the reproducing kernel [5]*Thm. 8.1.3. This paper shows that the last two properties are equivalent and connected to the group as well.

5.1 Induced Wavelet (Covariant) Transform

The following object is common in quantum mechanics [181], signal processing, harmonic analysis [205], operator theory [201, 204] and many other areas [197]. Therefore, it has various names [5]: coherent states, wavelets, matrix coefficients, etc. In the most fundamental situation [5]*Ch. 8, we start from an irreducible unitary representation of a Lie group G in a Hilbert space H. For a vector fH (called mother wavelet, vacuum state, etc.), we define the map Wf from H to a space of functions on G by:

[Wfv](g)=v′(g):=⟨ v,(g)f  ⟩. (1)

Under the above assumptions, v′(g) is a bounded continuous function on G. The map Wf intertwines (g) with the left shifts on G:

Wf ∘ (g) =Λ(g)∘   Wf ,   where ] Λ(g):v′(g′)↦ v′(g−1g′). (2)

Thus, the image Wf H is invariant under the left shifts on G. If is square integrable and f is admissible [5]*§ 8.1, then v′(g) is square-integrable with respect to the Haar measure on G. Moreover, it is a reproducing kernel Hilbert space and the kernel is k(g)= [Wf f](g). At this point, none of admissible vectors has an advantage over others.

It is common [197]*§ 5.1, that there exists a closed subgroup HG and a respective fH such that (h) f=χ(h) f for some character χ of H. In this case, it is enough to know values of v′(s(x)), for any continuous section s from the homogeneous space X=G/H to G. The map vv′(x)=v′(s(x)) intertwines with the representation χ in a certain function space on X induced by the character χ of H [159]*§ 13.2. We call the map

Wf: v ↦ v′(x) = ⟨ v,(s(x))f  ⟩,   where   x∈ G/H (3)

the induced wavelet transform [197]*§ 5.1.

For example, if G=ℍ, H={(s,0,0)∈ℍ: s∈ℝ} and its character χ(s,0,0)= eis, then any vector fL2(ℝ) satisfies ℏ(s,0,0) f(s) f for the representation (16). Thus, we still do not have a reason to prefer any admissible vector to others.

5.2 The Uncertainty Relation

In quantum mechanics [104]*§ 1.1, an observable (that is, a self-adjoint operator on a Hilbert space H) A produces the expectation value Ā on a pure state (that is, a unit vector) φ∈ H by Ā=⟨ Aφ,φ ⟩. Then, the dispersion is evaluated as follow:

Δφ2(A)=⟨ (A−Ā)2φ,φ  ⟩= ⟨ (A−Ā)φ,(A−Ā)φ  ⟩= ⎪⎪
⎪⎪
(A−Ā)φ⎪⎪
⎪⎪
2. (4)

The next theorem links obstructions of exact simultaneous measurements with non-commutativity of observables.

Theorem 1 (The Uncertainty relation) If A and B are self-adjoint operators on a Hilbert space H, then
⎪⎪
⎪⎪
(Aa)u⎪⎪
⎪⎪
⎪⎪
⎪⎪
(Bb)u⎪⎪
⎪⎪
≥ 
1
2

⟨ (ABBA)u,u  ⟩ 
 , (5)
for any uH from the domains of AB and BA and a, b∈ℝ. Equality holds precisely when u is a solution of ((Aa)+i r (Bb))u=0 for some real r.

Proof. The proof is well-known [104]*§ 1.3, but it is short, instructive and relevant for the following discussion, thus we include it in full. We start from simple algebraic transformations:

     
    ⟨ (ABBA)u,u  ⟩=⟨ ((Aa)(Bb)−(Bb)(Aa))u,u  ⟩   
 =⟨ (Bb)u,(Aa)u  ⟩−⟨ (Aa))u,(Bb)u  ⟩   
 =2i ℑ⟨ (Bb)u,(Aa)u  ⟩ (6)

Then by the Cauchy–Schwartz inequality:

    
1
2
⟨ (ABBA)u,u  ⟩≤
⟨ (Bb)u,(Aa)u  ⟩ 
⎪⎪
⎪⎪
(Bb)u⎪⎪
⎪⎪
⎪⎪
⎪⎪
(Aa)u⎪⎪
⎪⎪
.

The equality holds if and only if (Bb)u and (Aa)u are proportional by a purely imaginary scalar.


The famous application of the above theorem is the following fundamental relation in quantum mechanics. We use [199]*(3.5) the Schrödinger representation (16) of the Heisenberg group (16):

[ℏ(s′,x′,y′) f ](q)= e−2πiℏ (s′+xy′/2) −2πix′ q f(q+ℏ y′).   (7)

Elements of the Lie algebra h, corresponding to the infinitesimal generators X and Y of one-parameters subgroups (0,t/(2π),0) and (0,0,t) in ℍ, are represented in (7) by the (unbounded) operators M′ and D′ on L2(ℝ):

M′=−iq,  D′=ℏ
d
dq
,  with the commutator   [M′,D′]= iℏ I. (8)

In the Schrödinger model of quantum mechanics, f(q)∈L2(ℝ) is interpreted as a wave function (a state) of a particle, with M=i M′ and 1/i D′ are the observables of its coordinate and momentum.

Corollary 2 (Heisenberg–Kennard uncertainty relation) For the coordinate M and momentum D observables we have the Heisenberg–Kennard uncertainty relation:
Δφ(M) · Δφ(D) ≥ 
h
2
. (9)
The equality holds if and only if φ(q)= ec q2, c∈ℝ+ is the Gaussian—the vacuum state in the Schrödinger model.

Proof. The relation follows from the commutator [M,D]=iI, which, in turn, is the representation of the Lie algebra h of the Heisenberg group. By Thm. 1, the minimal uncertainty state in the Schrödinger representation is a solution of the differential equation: (Mi r D)φ=0 for some r∈ℝ, or, explicitly:

(MirD)φ=−i


q+r
d
dq



φ(q)=0. (10)

The solution is the Gaussian φ(q)= ec q2, c=1/2rℏ. For c>0, this function is in the state space L2(ℝ).


5.3 The Gaussian

The Gaussian is the crucial element in the theory of the Heisenberg group and will repeatedly use its remarkable properties. For this reasons we devote a separate section to their description.

Cor. 2 identifies the Gaussian φ(q)= ec q2 as the vector with minimal uncertainty. It is also common to say that the Gaussian φ(q)= ec q2 represents the ground state, which minimises the uncertainty of coordinate and momentum.

5.4 Right Shifts and Analyticity

To discover some preferable mother wavelets, we use the following general result from [197]*§ 5. Let G be a locally compact group and be its representation in a Hilbert space H. Let [Wf v](g)=⟨ v,(g)f ⟩ be the wavelet transform defined by a vacuum state fH. Then, the right shift R(g): [Wf v](g′)↦ [Wf v](gg) for gG coincides with the wavelet transform [Wfg v](g′)=⟨ v,(g′)fg ⟩ defined by the vacuum state fg=(g) f. In other words, the covariant transform intertwines right shifts on the group G with the associated action on vacuum states, cf. (2):

R(g) ∘ Wf= W(g)f. (11)

Although, the above observation is almost trivial, applications of the following corollary are not.

Corollary 3 (Analyticity of the wavelet transform, [197]*§ 5) Let G be a group and dg be a measure on G. Let be a unitary representation of G, which can be extended by integration to a vector space V of functions or distributions on G. Let a mother wavelet fH satisfy the equation
    
 


G
a(g)  (g) fdg=0,
for a fixed distribution a(g) ∈ V. Then any wavelet transform v′(g)=⟨ v,(g)f obeys the condition:
Dv′=0,   where   D=
 


G
 ā(g)  R(g)  dg , (12)
with R being the right regular representation of G.

Some applications (including discrete one) produced by the ax+b group can be found in [205]*§ 6. We turn to the Heisenberg group now.

Example 4 (Gaussian and FSB transform) The Gaussian φ(q)= ec q2/2 is a null-solution of the operator c Mi D. For the centre Z={(s,0,0): s∈ℝ}⊂ ℍ, we define the section s:ℍ/Z→ ℍ by s(x,y)=(0,x,y). Then, the corresponding induced wavelet transform (3) is:
v′(x,y)=⟨ v,(s(x,y))φ  ⟩ = 
 


v(q)   eπiℏ xy −2πixq  ec(q+ℏ y)2/2dq. (13)
The transformation intertwines the Schrödinger and Fock–Segal–Bargmann representations. Furthermore,

The infinitesimal generators X and Y of one-parameters subgroups (0,t/(2π),0) and (0,0,t) are represented through the right shift in (5) by

     R*(X)=−
1
ys+
1
x,  R*(Y)=
1
2
xs+∂y.

For the representation induced by the character χ(s,0,0)= eis we have s= 2πiI. Cor. 11 ensures that the operator

ℏ c· R*(X)+i· R*(Y)= −
2
(2π x+ iℏ cy) +
c
x +i ∂y (14)

annihilate any v′(x,y) from (13). The integral (13) is known as Fock–Segal–Bargmann (FSB) transform and in the most common case the values ℏ=1 and c=2π are used. For these, operator (14) becomes −π(x+i y)+(∂x+iy)=−π z+2∂z with z=x+i y. Then the function V(z)= eπ z z/2v′(z)= eπ(x2+y2)/2v′(x,y) satisfies the Cauchy–Riemann equation z V(z)=0.

This example shows, that the Gaussian is a preferred vacuum state (as producing analytic functions through FSB transform) exactly for the same reason as being the minimal uncertainty state: the both are derived from the identity (ℏ c M+i D) ec q2/2=0.

5.5 Uncertainty and Analyticity

The main result of this paper is a generalisation of the previous observation, which bridges together Cor. 11 and Thm. 1. Let G, H, and H be as before. Assume, that the homogeneous space X=G/H has a (quasi-)invariant measure dµ(x) [159]*§ 13.2. Then, for a function (or a suitable distribution) k on X we can define the integrated representation:

(k)=
 


X
k(x)(s(x)) d µ(x) , (15)

which is (possibly, unbounded) operators on (possibly, dense subspace of) H. It is a homomorphism of the convolution algebra L1(G,dg) to an algebra of bounded operators on H. In particular, R(k) denotes the integrated right shifts, for H={e}.

Theorem 5 ([206]) Let k1 and k2 be two distributions on X with the respective integrated representations (k1) and (k2). The following are equivalent:
  1. A vector fH satisfies the identity
          Δf((k1))· Δf((k2))=
    ⟨ [(k1),(k1)] f,f  ⟩ 
    .
  2. The image of the wavelet transform Wf: vv′(g)=⟨ v,(g)f consists of functions satisfying the equation R(k1+i r k2) v′=0 for some r∈ℝ, where R is the integrated form (15) of the right regular representation on G.

Proof. This is an immediate consequence of a combination of Thm. 1 and Cor. 11.


Example 4 is a particular case of this theorem with k1(x,y)=δ′x(x,y) and k2(x,y)=δ′y(x,y) (partial derivatives of the delta function), which represent vectors X and Y from the Lie algebra h. The next example will be of this type as well.

5.6 Hardy Space on the Real Line

We consider the induced representation 1 (8) for k=1 of the group SL2(ℝ). A SL2(ℝ)-quasi-invariant measure on the real line is | cx+d |−2d x. Thus, the following form of the representation (8)

1(g) f(w)=
1
cx+d
f


ax+b
cx+d



,    where  g−1=


ab
cd


 , (16)

is unitary in L2(ℝ) with the Lebesgue measure dx.

We can calculate the derived representations for the basis of sl2 (13):

     
  dA1
=  
1
2
· I+x ∂x,
         
dB1
=  
1
2
x · I+
1
2
(x2−1)∂x,
         
dZ1= − x· I−(x2+1)∂x.          

The linear combination of the above vector fields producing ladder operators L±i A+B are, cf. (17):

     
    dL±1  =
  
1
2

(x±i)· I +(x± i)2·∂ x
.
(17)

Obviously, the function f+(x)=(x+i)−1 satisfies dL+1 f+=0. Recalling the commutator [A,B]=−1/2Z we note that dZ1f+=−i f+. Therefore, there is the following identity for dispersions on this state:

   Δf+(A1)· Δf+(B1) =
1
2
 ,

with the minimal value of uncertainty among all eigenvectors of the operator dZ1.

Furthermore, the vacuum state f+ generates the induced wavelet transform for the subgroup K={ etZ  ∣  t∈ℝ}. We identify SL2(ℝ)/K with the upper half-plane+={z∈ℂ  ∣  ℑ z > 0} [197]*§ 5.5 [204]. The map s: SL2(ℝ)/KSL2(ℝ) is defined as s(x+i y)=1/√y (

  yx
  01

) (8). Then, the induced wavelet transform (3) is:

     
  v′(x+iy)=⟨ v,1(s(x+iy)) f+  ⟩
=
1
y
 


v(t) dt
tx
y
i
         
 
=
y
 


v(t) dt
t−(x+i y)
. 
         

Clearly, this is the Cauchy integral up to the factor √y, which is related to the conformal metric on the upper half-plane. Similarly, we can consider the operator Bi A1=1/2 ( (x±iI +(x± i)2·∂ x ) and the function f(z)=1/xi simultaneously solving the equations Bi A1 f=0 and dZ1f=i f. It produces the integral with the conjugated Cauchy kernel.

Finally, we can calculate the operator (12) annihilating the image of the wavelet transform. In the coordinates (x+i y,t)∈ (SL2(ℝ)/KK, the restriction to the induced subrepresentation is, cf. [240]*§ IX.5:

     
    LA=
i
2
sin2t· I − y sin2 t ·∂x− y cos2 t ·∂y,
(18)
  LB=
 −
i
2
cos2t·  I+y cos2 t ·∂x− y sin2 t ·∂y.
(19)

Then, the left-invariant vector field corresponding to the ladder operator contains the Cauchu–Riemann operator as the main ingredient:

LL =   e2it( −
i
2
I+ y (∂x+iy)),    where  L=
L+
=−iA + B. (20)

Furthermore, if Li A+Bv′(x+i y)=0, then (∂x+iy)(v′(x+i y)/√y)=0. That is, V(x+i y)=v′(x+i y)/√y is a holomorphic function on the upper half-plane.

Similarly, we can treat representations of SL2(ℝ) in the space of square integrable functions on the upper half-plane. The irreducible components of this representation are isometrically isomorphic [197]*§ 4–5 to the weighted Bergman spaces of (purely poly-)analytic functions on the unit disk, cf. [329]. Further connections between analytic function theory and group representations can be found in [170, 197].

5.7 Contravariant Transform and Relative Convolutions

For a square integrable unitary irreducible representation and a fixed admissible vector ψ∈ V, the integrated representation (15) produces the contravariant transform Mψ: L1(G) → V, cf. [173, 204]:

Mψ (k)= (k)ψ,    where  k∈ L1(G). (21)

The contravariant transform Mψ intertwines the left regular representation Λ on L2(G) and :

Mψ  Λ (g) = (g)  Mψ. (22)

Combining with (2), we see that the composition MψWφ of the covariant and contravariant transform intertwines with itself. For an irreducible square integrable and suitably normalised admissible φ and ψ, we use the Schur’s lemma [5, Lem. 4.3.1], [159, Thm. 8.2.1] to conclude that:

Mψ ∘ Wφ=⟨ ψ,φ  ⟩ I. (23)

Similarly to induced wavelet transform (3), we may define integrated representation and contravariant transform for a homogeneous space. Let H be a subgroup of G and X=G/H be the respective homogeneous space with a (quasi-)­invariant measure dx [159, § 9.1]. For the natural projection p: GX we fix a continuous section s: XG [159, § 13.2], which is a right inverse to p. Then, we define an operator of relative convolution on V [171, 204], cf. (15):

(k)=
 


X
k(x) (s(x)) dx , (24)

with a kernel k defined on X=G/H. There are many important classes of operators described by (24), notably pseudodifferential operators (PDO) and Toeplitz operators [139, 171, 173, 204]. Thus, it is important to have various norm estimations of (k). We already mentioned a straightforward inequality ||(k)||≤ C ||k||1 for kL1(G,dg), however, other classes are of interest as well.

5.8 Norm Estimations of Relative Convolutions

If G is the Heisenberg group and is its Schrödinger representation, then (â) (24) is a PDO a(X,D) with the symbol a [139, 104, 204], which is the Weyl quantization (6) of a classical observable a defined on phase space ℝ2. Here, â is the Fourier transform of a, as usual. The Calderón–Vaillancourt theorem [320, Ch. XIII] estimates ||a(X,D)|| by L-norm of a finite number of partial derivatives of a.

In this section we revise the method used in [139, § 3.1] to prove the Calderón–Vaillancourt estimations. It was described as “rather magical” in [104, § 2.5]. We hope, that a usage of the covariant transform dispel the mystery without undermining the power of the method. 0.2cm

We start from the following lemma, which has a transparent proof in terms of covariant transform, cf.  [139, § 3.1] and [104, (2.75)]. For the rest of the section we assume that is an irreducible square integrable representation of an exponential Lie group G in V and mother wavelet φ,ψ ∈ V are admissible.

Lemma 6 Let φ∈ V be such that, for Φ=Wφφ, the reciprocal Φ−1 is bounded on G or X=G/H. Then, for the integrated representation (15) or relative convolution (24), we have the inequality:
⎪⎪
⎪⎪
(f)⎪⎪
⎪⎪
≤ ⎪⎪
⎪⎪
Λ ⊗ R(f Φ−1)⎪⎪
⎪⎪
 , (25)
where (Λ ⊗ R)(g): k(g′)↦ k(g−1gg) acts on the image of Wφ.

Proof. We know from (23) that MφW(g = ⟨ φ,(g)φ ⟩ I on V, thus:

    Mφ∘ W(g ∘ (g) = ⟨ φ,(g)φ  ⟩ (g) =Φ (g) (g). 

On the other hand, the intertwining properties (2) and (11) of the wavelet transform imply:

    Mφ∘ W(g ∘ (g) = Mφ∘ (Λ ⊗ R)(g)  ∘Wφ.

Integrating the identity Φ (g) (g)= Mφ∘ (Λ ⊗ R)(g) ∘Wφ with the function fΦ−1 and use the partial isometries Wφ and Mφ we get the inequality.


The Lemma is most efficient if Λ ⊗ R acts in a simple way. Thus, we give he following

Definition 7 We say that the subgroup H has the complemented commutator property, if there exists a continuous section s: XG such that:
p(s(x)−1gs(x))=p(g),    for all  x∈ X=G/H,  g∈ G. (26)

For a Lie group G with the Lie algebra g define the Lie algebra h=[g,g]. The subgroup H=exp(h) (as well as any larger subgroup) has the complemented commutator property (26). Of course, X=G/H is non-trivial if HG and this happens, for example, for a nilpotent G. In particular, for the Heisenberg group, its centre has the complemented commutator property.

Note, that the complemented commutator property (26) implies:

Λ⊗ R(s(x)): g ↦ gh,    for the unique  h=g−1s(x)−1gs(x)∈ H. (27)

For a character χ of the subgroup H, we introduce an integral transformation :L1(X)→ C(G):

k(g)=
 


X
k(x)  χ(g−1s(x)−1gs(x)) dx , (28)

where h(x,g)=g−1s(x)−1g s(x) is in H due to the relations (26). This transformation generalises the isotropic symbol defined for the Heisenberg group in [139, § 2.1].

Proposition 8 ([202]) Let a subgroup H of G have the complemented commutator property (26) and χ be an irreducible representation of G induced from a character χ of H, then
⎪⎪
⎪⎪
χ(f)⎪⎪
⎪⎪
≤  ⎪⎪
⎪⎪
fΦ−1⎪⎪
⎪⎪
 , (29)
with the sup-norm of the function fΦ−1 on the right.

Proof. For an induced representation χ [159, § 13.2], the covariant transform Wφ maps V to a space L2χ(G) of functions having the property F(gh)=χ(h)F(g) [204, § 3.1]. From (27), the restriction of Λ⊗ R to the space L2χ(G) is:

        Λ⊗ R(s(x)): ψ(g) ↦ ψ(gh)=χ(h(x,g))ψ(g).

In other words, Λ⊗ R acts by multiplication on L2χ(G). Then, integrating the representation Λ ⊗ R over X with a function k we get an operator (LR)(k), which reduces on the irreducible component to multiplication by the function k(g). Put k=fΦ−1 for Φ=Wφφ. Then, from the inequality (25), the norm of operator χ(f) can be estimated by ||Λ ⊗ R(f Φ−1)||=||fΦ−1||.


For a nilpotent step 2 Lie group, the transformation (28) is almost the Fourier transform, cf. the case of the Heisenberg group in [139, § 2.1]. This allows to estimate ||fΦ−1|| through ||f||, where f is in the essence the symbol of the respective PDO. For other groups, the expression g−1s(x)−1g s(x) in (28) contains non-linear terms and its analysis is more difficult. In some circumstance the integral Fourier operators [320, Ch. VIII] may be useful for this purpose.

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