1. Introduction
1.1. Motivation
Shift-invariant finitely additive measures on a Hilbert space present the realization of invariant measures on a topological group without the locally compactness property. According to the A. Weil theorem, there is no Lebesgue measure on an infinite dimensional Euclidean space. For this reason, the paper [
1] states that there is no function of a set on an infinite dimensional space such that this function defines the notion of a volume on this space. We analyze different approaches to the extension of the volume notion for an infinitely dimensional space and study the invariantness with respect to the action of groups of finitely additive measures on a Hilbert space.
A studying of invariant measures on the phase space of an infinite-dimensional Hamiltonian system is important for the statistical mechanics of infinite-dimensional systems. An isometry-invariant measure is the base for the constructing of the Koopman representation of a group of shifts along a vector field in a separable Hilbert space (the group isometries in a Hilbert space are defined as the group generated by the group of shift and the orthogonal group). The isometry invariance of a measure on a separable Hilbert space allows the opportunity to analyze a random Hamiltonian and the asymptotic behavior of compositions of independent random Hamiltonian flows with values in the group of isometries of a separable Hilbert space.
Gibbs measures of infinite-dimensional Hamiltonian equations (including a nonlinear Schrödinger equation, a nonlinear wave equation, a Kleyn–Gordon equation, and a Korteveg–de Vrize equation) are studied in the works [
2,
3,
4,
5,
6,
7,
8]. The Gibbs measure of every considered Hamiltonian system is invariant with respect to the flow generated by this system. However, the Gibbs measures of a Hamiltonian system can be singular with respect to another one even in the class of Gaussian measures of quadratic Hamiltonian systems.
An invariant measure of a Hamiltonian flow different from the Gibbs measure can be suggested on the basis of the complete integrability of a Hamiltonian system admitting action-angle coordinates [
9,
10]. In papers [
11,
12], on the contrary, a countably additive invariant measure is used for the constructing of action-angle coordinates for the Koopman presentation of a Hamiltonian system. Invariant measures are useful for constructing a hydrodynamical approach to classical and quantum integrable systems [
13].
In this paper, we describe a finitely additive measure on a real separable Hilbert space such that this measure is invariant with respect to a family of Hamiltonian flows including one-parametric groups of shifts along a vector of a Hilbert space.
The considered group of self-mappings of a Hilbert space has the unitary representation in the space of quadratic integrables with respect to an invariant-measure complex-valued function. Properties of continuity in the strong operator topology of the unitary representation are studied.
To describe the family of shift-invariant measures, the notions of the ring-ergodicity and ring-decomposibility of a measure with respect to a group are introduced (see Definition 1 in
Section 2.3). Using a ring-ergodic component of a measure which is invariant with respect to a group, we obtain the separable space of functions that are quadratically integrable with respect to ring-ergodic invariant measures.
A unitary representation of a group of self-mappings of a Hilbert space is discontinuous in general. We describe subgroups admitting the continuity of its representation in the strong operator topology. For the Koopman unitary representation of a Hamiltonian flow of an infinite system of oscillators, the subspaces of continuity are described in terms of the spectrum of the Koopman group generator.
1.2. Historical Background
A nontrivial countably additive -finite locally finite Borel left-invariant measure on a topological group G does not exist, according to the A. Weil theorem, if the group G is not locally compact. Hence, there is no nontrivial countably additive -finite locally finite Borel shift-invariant measure on an infinite-dimensional normalized linear space. Therefore, the studying of shift-invariant measures on a Hilbert space deals with an additive function of a set without some properties of the Lebesgue measure. We study finitely additive measures on an infinite-dimensional separable real Hilbert space so that these measures are invariant under shifts on a vector and orthogonal transformations. The focus of our research is the space of functions on a Hilbert space that are quadratically integrable with respect to an isometry-invariant measure. Unitary groups acting by means of isometric transformations of the space of arguments in the above space of quadratically integrable functions are investigated.
Thus, a shift-invariant measure on a topological group without the local compactness property is considered as an additive non-negative function, which is defined on a ring of subsets of the space. However, this function of a set would not have at least one of properties of the Lebesgue measure listed in the A. Weil theorem [
14,
15,
16,
17,
18,
19,
20].
One approach is based on the construction of a countably additive measure without the
-finiteness property. Countably additive measures on topological vector spaces of numerical sequences are introduced in [
14,
15,
16,
19]. However, the introduced measures are not
-finite nor locally finite.
As for the other approach, shift-invariant
-finite locally finite measures on a separable Banach space are introduced in [
17,
20]. However, every constructed measure, at first, is not countably additive and, secondly, is not defined on the ring of bounded Borel subsets. The paper [
20] describes the construction of a shift-invariant measure on a Hilbert space as a finitely additive function of a set defined on some ring of subsets of a Hilbert space. This ring of subsets (the domain of a finitely additive function of a set) is not invariant with respect to every orthogonal transformation since this ring depends on the choice of the orthonormal basis (ONB) in the Hilbert space.
The studying of a finitely additive invariant with respect to shifts and rotations measured on a Hilbert space is the continuation of the investigation of the same problem in a finite-dimensional Euclidean space. The problem of the existence of an invariant with respect to an isometric transformation measure on a finite-dimensional Euclidean space was investigated during the last century in the form of the following question. Does the measure λ on the d-dimensional Euclidean space exist so that this measure is
- (1)
Defined on a bounded subset of the Euclidean space;
- (2)
Invariant with respect to a shift and a rotation;
- (3)
Normalized by the condition ?
There is no a countably additive measure with these properties for every natural number
d according to the article by F. Hausdorff [
21]. In 1923, S. Banach proved the existence of a finitely additive measure which is defined on the
-ring of all bounded subsets of Euclidean spaces
, so that this measure is invariant with respect to any isometry ([
22], p. 81). Hence, finitely additive measures can admit invariance with respect to a wider group than a countably additive one.
The paradox of Hausdorff–Banach–Tarskii includes some restrictions on the properties of a finitely additive measure on the Euclidean space, which are discussed in [
23]. In particular, there is no finitely additive measure on the Euclidean space
with dimension
, which is defined on the ring of all bounded subsets of this space and invariant with respect to shifts and rotations. Nevertheless, according to the work by S. Banach, in the case
, there is a finitely additive non-negative measure
on the space
such that this measure is shift and rotation invariant, is defined on every bounded subset of the space
and is normalized by the condition
.
In the class of countably additive measures, there is the unique normalized shift-invariant complete Borel measure on the space satisfying the normalization condition 3. This is the Lebesgue measure. In addition, this measure is invariant with respect to the orthogonal group.
In 1923, the following S. Ruziewicz problem was posed. Let be the ring of bounded Lebesgue measurable sets in the n-dimensional real space . Let be the Lebesgue measure on normalized by . The following question was posed by Rusiewicz: Is , up to proportionality, the unique finitely additive isometry-invariant positive measure mapping the ring into the semiaxis ?
In 1923, Banach gave a negative answer to this question for
and
. For
with
, the positive answer to the Ruziewicz question was provided in [
24,
25].
The Lebesgue measure can be defined as the complete countably additive shift-invariant extension of the measure defined on the ring and normalized by condition 3). Here, is the ring generated by the collection of bounded d-dimensional rectangles. Hence, the Ruziewicz problem can be reformulated in the following way: what finitely additive isometry-invariant positive measure is the extension of the measure defined on the ring and normalized by condition 3)?
However, in the separable infinite-dimensional real Hilbert space E, the Ruziewicz question should be reformulated since there is no Lebesgue measure on space E or on the sphere in space E. In the present paper, we study the following question.
What measure on space E exists so that this measure satisfies the conditions:
- (1)
It is invariant to any bijective isometric transformation of this space;
- (2)
The domain of this measure is the ring of subsets of space E which contains any measurable rectangle (a measurable rectangle in the space E is an infinite-dimensional parallelepiped, such that the product of lengths of its edges converges unconditionally) of space E;
- (3)
The normalized condition holds for some ONB ?
The constructing of a finitely additive shift-invariant measure and study of its properties was started in the work [
17]. Results of
Section 3,
Section 4,
Section 5,
Section 6 and
Section 7 on the rotation-invariant measure on a Hilbert space were announced in [
26]. The construction of a symplectic-invariant measure was presented in [
27]. The present article is the review of results on finitely additive invariant measures. The notion of ring ergodicity is introduced in this paper and applications of this notion are new results. The new result of this article are the analysis of the continuity of Koopman unitary representation together with the spectral properties of a Koopman generator.
1.3. The Main Result and Comparison with Similar Approaches
The purpose of this paper is to introduce a finitely additive measure on an infinite-dimensional real separable Hilbert space so that this measure is invariant with respect to shifts and orthogonal mappings (i.e., the measure is shift- and rotation-invariant). Moreover, the introduced measure is locally finite and -finite. However, it is nether countably additive nor a Borel measure.
In the separable real Euclidean space, there is no normalized shift-invariant countably additive
-finite and locally finite measure. There are different shift-invariant finitely additive
-finite and locally finite measures, which are normalized by the condition
(see [
17,
20]). The existence of a shift and rotation-invariant measure on a real separable Hilbert space was proven in [
17] using the transfinite induction procedure. In the present paper, the extension of one of these measures up to the isometry-invariant normalized measure is introduced.
The construction of a shift and rotation-invariant measure on the real separable Hilbert space E is based on the analysis of the deformation under the action of orthogonal mappings on a shift-invariant measure on the space E. We obtain the criterion of an absolute continuity of the measure with respect to the image of a measure under the action of an orthogonal mapping . We prove that if the measure is absolutely continuous with respect to the measure , then measures and coincide. In the opposite case, measures and are defined on the different rings , and .
The equivalence relation ∼ on the set of the ONB of space E is introduced by the following way. Two orthonormal bases, and , are equivalent to each other if and only if . We prove that if two bases, and , are not equivalent, then the restrictions of measures and on the intersection of their domains are equal to zero. This property allows gluing of the measures , which are defined on the subset rings into the unique measure , which is defined on the unique ring . This analysis of measures , corresponding to different ONB , gives the rule for defining an isometry-invariant measure , where is the ring of subsets generated by the collection of sets .
The paper [
18] is devoted to the properties of a measure on a topological vector space, which is invariant with respect to a shift in a vector from some admissible subspace of the topological vector space. A constructed measure has all the properties of Lebesgue measures listed in the Weil Theorem except invariance with respect to a shift in an arbitrary vector.
The problem of the existence of translation-invariant measures on an Abelian topological group
G can be considered as the description of a shift-invariant linear functional on the space of proper functions on group
G. The description of the translation invariant functionals on space
is given in [
28]. Invariant means on an infinite product of measured spaces with an infinite measure are defined and studied in [
29] using a limit of normalized finite-dimensional approximation. A generalized shift-invariant measure is investigated in [
30] as a shift-invariant functional on the space of test functions of the Schwartz type. Constructed functionals have properties of invariance with respect to the group of orthogonal mappings. However, the problem of the existence of a measure as the additive set function on some rings of the subsets is currently unresolved.
Ergodic properties of countable-additive measures on a topological group with respect to the action of a group of automorphisms are important for the analysis of problems of dynamical systems and the dynamical properties of solutions of evolution PDE’s [
31,
32,
33,
34]. Now we extend this approach to the study of ergodic properties of finitely-additive measures on topological groups without the locally compactness property.
Let G be a group of mappings of a space E into itself. Let be a ring of subsets of a space E which is invariant with respect to the group G. An invariant with respect to the group-G measure is called ring-ergodic with respect to group G if for any two G-invariant subrings of the ring the following two conditions
- (i)
the ring is completion with respect to the measure of the ring, which is generated by the collection of sets ,
- (ii)
,
imply that there is a set such that (conversely, the measure is called ring-decomposible).
Roughly speaking, the definition of ring ergodicity changes the condition of an invariant subset to the condition of an invariant subring in the definition of the ergodicity of a measure with respect to a group.
The decomposition of an G-invariant measure to the sum of ring-ergodic mutually singular measures is called the ring-ergodic decomposition of the measure μ.
The properties of ergodicity or the decomposability of a
G-invariant measure are important to the study of the uniqueness of a
G-invariant measure. We use the notion of the ring ergodicity of a shift-invariant measure to parametrize the collection of mutually singular shift-invariant measures. The ring-ergodic decomposition of a shift-invariant measure is obtained. Thus, the obtained ergodic decompositions describe the collection of measures satisfying the condition of invariantness with respect to the considered group and the normalization condition from
Section 1.2.
The Lebesgue measure on the Euclidean space is invariant not only to the group of isometries but with respect to symplectomorphisms of the space equipped with a shift-invariant symplectic form. This property is important to applications in statistical mechanics. Let us equip the Hilbert space E with a shift-invariant symplectic form. Then, the measures considered above have neither invariantness with respect to the group of simplectomorphism nor with respect to the subgroup of linear symplectomorphisms. We consider the measures that are invariant to the subgroup of symplectomorphisms preserving two-dimensional symplectic subspaces. In addition, we prove that there is no measure on a Hilbert space equipped with the shift-invariant symplectic form such that this measure is invariant with respect to the above subgroup of symplectomorphisms and the orthogonal group.
The invariance of a measure on the space of complex matrices with respect to a group of unitary transformations is studied in [
35]. In this paper, the Pickerell measures on the space of infinite complex matrices and on the Grassman manifold of infinite-dimensional Hilbert space are constructed. Pickerell measures are the two-parametric family of probability measures on the space of complex matrices such that each of these measures is invariant with respect to a infinite subgroup of a unitary-operators group acting on the space of complex matrices by means of conjugation [
36].
The measures of the algebras of operators are studied in [
37]. Some of these measures were defined by means of operator intervals [
38,
39]. The invariance of the introduced measures on algebras with respect to the action of some groups was obtained.
1.4. Organization of the Paper
The structure of the present article is the following.
Section 2 introduces the family of shift-invariant measures
, where a measure
is defined on the ring
of subsets of the space
E. The ring
and the measure
depend on the choice of ONB
in the space
E [
17,
40]. For the constructed measure, we obtain its decomposition onto the sum of pairwise singular measures which are ring ergodic with respect to the group of shifts or to the subgroup of shifts with a continuity property.
Section 3 contains the description of the mutual position for two ONB in space
E in terms of an infinite orthogonal transition matrix. The condition of the proximity of one ONB to another in terms of the transition matrix is introduced.
Section 4 shows that if ONB
and
satisfy the proximity condition, then the measure
coincides with the measure
.
Section 5 demonstrates that if ONB
and
do not satisfy the proximity condition, then
.
To solve the problems of
Section 4 and
Section 5, properties of the intersection of a measurable rectangle with its image under the action of a shift or an orthogonal mapping are studied. This geometric problem is interesting as the infinite-dimensional generalization of the theory of
k-dimensional sections of
n-dimensional cubes [
41,
42]. The solving of this problem gives the opportunity to introduce the equivalence relation on the set of ONB of the space
E in terms of the proximity condition from
Section 3.
The proof of the existence of an isometry-invariant analog of a Lebesgue measure
on a Hilbert space is given in
Section 6 using the introduced equivalence relation on the set of ONB. The decomposition of the measure
into the sum of mutually singular shift-invariant measures is obtained. In
Section 6, we study the space
of complex valued functions which are quadratically integrable with respect to an isometry-invariant measure. The orthogonal decomposition of space
corresponding to the mutually singular decomposition of the measure
is obtained. Any component of the orthogonal decomposition is invariant with respect to a shift in any vector of the space
E. The whole space
is invariant with respect to a shift and to an orthogonal transformation.
In
Section 7, we study the unitary group in the Hilbert space
which is generated by the orthogonal mapping of arguments of the functions from the space
. The Koopman representation of the orthogonal group in space
E by means of the unitary group in space
is obtained. The condition of strong continuity in space
and the description of continuity subspaces for these unitary groups are obtained in
Section 7. These results are important for extending the procedure of the averaging of random orthogonal mappings to the infinite-dimensional case, and for obtaining the differential equation describing the mean values of the compositions of independent random orthogonal mappings [
43].
To study the symplectic-invariant measure, in
Section 8 we equip a Hilbert space with a shift-invariant symplectic form. We introduce a measure which is the continuation of a shift-invariant measure. A continued measure is invariant with respect to a group of symplectomorphisms (namely, the group of symplectomorphisms, preserving two-dimensional symplectic subspaces). The unitary Koopman representation of the above group of symplectomorphisms is obtained in the space of functions that are quadratically integrable with respect to a symplectic-invariant measure. The continuity of a Koopman group and its spectral properties are studied. In addition, we prove that a considered symplectic-invariant measure has no continuation that is invariant with respect to orthogonal groups.
Section 9 is the conclusion of the main results of the article.
2. Shift-Invariant Measures on a Hilbert Space
Let E be a real separable Hilbert space. Let be a set of ONB in space E.
Here, we introduce a family of shift-invariant measures on the Hilbert space
E. This family of measures,
, is parametrized by the choice of ONB
([
17,
20]).
A set
is said to be a rectangle if there is an ONB
and elements
such that
A rectangle (
1) is called measurable if either
or the following condition holds
Let
be a collection of measurable rectangles in the space
E. Let
be an ONB in the space
E. Let
be a set of measurable rectangles in
E such that the edges of any rectangle
are collinear to vectors of ONB
. In other words, if
is the projection of a set
onto the axis
for any
, then
. Let
be a ring of subsets of the space
E which is generated by the set
. According to [
20], the ring
is generated by the following semiring
of subsets of space
ELet be a ring of subsets of space E generated by the collection .
Let
be a function of a set such that the function
is defined on the collection of sets
by the equality
for any non-empty measurable rectangle (
1), and
. According to the condition (
2), we have
for any
. Let
be the restriction of the function of a set
to the collection of sets
.
According to papers [
17,
20], the function
is an additive function on the collection of sets
and it has the unique extension to the measure
. This measure,
, is invariant with respect to a shift on a vector of space
E.
A set is said to be -measurable if for any there are sets such that and . Then, the collection of -measurable subsets of the space E is the ring. The measure has the unique extension to the ring by the equality .
The function of a set
is the finitely additive measure which is invariant with respect to a shift on any vector of the space
E [
17]. This measure is locally finite,
-finite, complete. However, this measure is not
-additive and it is not defined on the
ring of bounded Borel subsets. In particular, the ring
does not contain a ball in space
E with a sufficiently large radius [
44].
Thus, for a given ONB , there is the ring of subsets and there is the shift-invariant finitely additive locally finite and -finite measure .
2.1. Dependence of the Measure on ONB
The paper [
17] describes the procedure of extending the family of measures
to the measure , where is the ring generated by the collection of sets (or generated by the collection of sets ).
The existence of the measure
such that
is proven in the work [
17] by using some total ordering ≺ on the set
of ONB in the space
E and by applying transfinite induction procedure. It is proven that the measure
:
- (1)
Is invariant with respect to any orthogonal mapping and to a shift on a vector ;
- (2)
Does not depend on the choice of total ordering ≺ on the set .
The dependence of the properties of the ring
on the mutual position of two ONB
and
is not considered in the paper [
17]. In the present article, we describe the dependence of the ring
on the mutual position of two ONB,
and
.
2.2. Representation of the Group of Shifts
in the Space and the Subgroup of Strong Continuity
The shift-invariant measure
defines the space
of quadratically integrable functions. In order to construct the space
, one should consider the space
of finite linear combinations over the field
of the indicator functions of sets from the ring
. Let us introduce a non-negative hermitian sesquilinear form: for any
, one can pose
. For arbitrary functions
, where
we have
We call functions equivalent if . Thus, the linear space of classes of the equivalence of functions from is pre-Hilbert, and after the procedure of completion, is obtained. The same construction of the space will be used for other choices of a measure on a ring of subsets of the space E.
The space E, as the group with respect to the summation operation, is represented in the space by the Abelian unitary group of shift operators acting by the rule . The subgroup of the group is a one-parameter unitary group in the space for every vector .
In paper [
17], the criterion of the strong continuity of the one-parameter unitary group
in the space
is obtained.
Theorem 1 ([
17]).
Let be an ONB in the space E and . Then, the one-parameter unitary group is continuous in the strong operator topology of the space if and only if . If is ONB in the space E, then is the linear subspace of the space E (hence, is the subgroup of the group E). The subgroup equipped with the norm is the Banach topological group.
Corollary 1. Let be an ONB in space E. If when equipped with the strong operator topology of the space , then the topological group of linear operators is the continuous unitary representation in the space of the Abelian topological group .
Corollary 2. Let be an ONB in space E. If the group is equipped with the strong operator topology of the space , then the topological group of linear operators is the unitary representation of the Abelian topological group in the space . However, this representation is not continuous.
2.3. Decomposition of a Shift-Invariant Measure Ring-Ergodic with Respect to a Strongly Continuous Group of Shifts
The ergodic properties of countable-additive measures on a topological group with respect to the action of a group of automorphisms are important for the analysis of the problems of dynamical systems and the dynamical properties of evolution PDE [
31,
32,
33,
34]. Now, we extend the approach of ergodic theory to the study of the properties of finitely additive measures on a topological group without the locally compactness property.
Let G be a group of mappings of a space E into itself. Let be an invariant with respect to the group-G algebra of subsets of a space E. A G-invariant measure is called ergodic with respect to the group G if for every G-invariant set either or .
Now we consider a decomposition of the ring which is the domain of the measure onto invariant subrings instead of the decomposition of the space onto invariant subspaces.
Let G be a group of mapping of a space E into itself. Let be an invariant with respect to the group-G ring of subsets of a space E.
Let us note that the ring
is called the completion of the ring
r with respect to a measure
if
Definition 1. An invariant with respect to the group-G measure is called
- (1)
Ring-decomposible with respect to group G if there are two G-invariant subrings of ring satisfying conditions (i) and (ii) such that ;
- (2)
Ring-ergodic with respect to group G if, for any two G-invariant subrings of ring , conditions (i) and (ii) imply that there is a set such that .
Here, (i) and (ii) are the following conditions:
- (i)
Ring is the completion with respect to the measure μ of the ring which is generated by the collection of sets , ;
- (ii)
,
If an invariant with respect to the group-G measure is ring-decomposible with respect to group G, then this measure admits the decomposition into the sum of two mutually singular G-invariant measures
The decomposition of a G-invariant measure to the sum of ring-ergodic mutually singular measures is called the ring-ergodic decomposition of the G-invariant measure μ.
Now we present the example of ring-ergodic decomposition for the measure . Let be an ONB in space E. Let us consider the measurable space equipped with the measure .
Let us consider the representation of the topological group by the group of unitary operators in the space .
We study the following questions. Is the measure ring-ergodic with respect to group E? What ring-ergodic components with respect to group E does the measure admit?
A non-empty rectangle is called E-equivalent to a rectangle () if there is a vector such that . For a rectangle , the point is called the center of the rectangle if . A rectangle is non-empty if and only if and . For every vector , the symbol denotes the collection of non-empty rectangles such that (any rectangle is E-equivalent to the rectangle with the center c).
Let be a set of vectors such that . Let be the set of classes of E-equivalent vectors of the set .
Lemma 1. Let and . If , then .
Proof. If or , then the statement is true. If and , then for any we have where . Analogously, for any , we have where .
We have since in . Let and be the projection of the rectangle to the k-th coordinate axis . Therefore, for any . Hence, where . Thus, , since and for every sufficiently large k. □
Let
be the ring generated by the family of sets
for every
(the construction of this ring is described in papers [
20]).
In the paper [
20], it is proven that the function of a set
is additive and has the unique additive extension to the measure
whose domain is the ring
. The same arguments prove the following statement.
Lemma 2. The function of a set is additive and has the unique additive extension to the measure whose domain is the ring . Moreover, .
Proof. The ring
is generated by the semiring
For a given
, let us introduce families of sets
Let us note that
. Since the function of a set
is additive ([
20]), its restriction
is additive too. Using the induction procedure, we can prove that the function
has the unique additive extension on classes
for every
(see also [
27], Theorem 3.1). Therefore, the function
has the unique extension onto the semi-ring
, and, hence, to the ring
.
Let be the completion of the ring by the measure . The ring is the subring of the ring since . Therefore, . □
Lemma 3. Let and . If , then .
Proof. For every , the indicator function of a set from the ring can be approximated in -norm by the linear combination of the indicator functions of rectangles from the family . Thus, the statement of Lemma 3 is the consequence of Lemma 1. □
Let be the ring which is generated by the collection of sets .
Hence, the ring
is generated by the semi-ring
Since the systems of sets
are rings, we can assume that
for every different
Hence,
according to the Lemma 3. Thus, we should define
for any set
from the semi-ring (
5). Then, the function
is additive on the semiring (
5). Moreover, this additive function satisfies the condition
. Additive function
on the semi-ring (
5) admits the unique additive extension to the additive function of a set
on the ring
. Moreover, the measure
satisfy the condition
.
The semi-ring and the generated by this semi-ring ring are invariant with respect to a shift on a vector of the space E. The measure is shift-invariant measure on the space E by its construction.
Then, according to Lemmas 1–3 we obtain the following statement.
Theorem 2. Let be an ONB in the space E. Thenwhere . Proof. Let and . Then, the space is the subspace of the space since the measure is the restriction of the measure . Hence, according to Lemma 3 subspaces and are orthogonal subspaces of the space if .
The linear space
is dense in the space
according to Lemma 3.4 [
45]. Hence, the family of functions
is dense in the space
. Since every element of the family (
6) belongs to the linear space
, the linear space
is dense in the space
.
Then, according to Lemma 3 we have
Hence, the statement is proved. □
Corollary 3. The ring is the completion of the ring with respect to the measure .
Proof. According to the Theorem 2 for any set there is the sequence of finite collection of rectangles , such that the sequence of linear combinations converges to in the space . It means that the ring is the completion or rings with respect to the measure . □
Corollary 4. Let and . Thenwhere . Corollary 5. Let and . Let be the completion with respect to measure of the ring which is generated by the set . Then, the ring is the completion with respect to measure of the ring generated by the collection of sets .
The domain of a measure
depends on a class of vectors
. Let us introduce following extensions
of measures
:
Let
. Then the following statement take place. If
for some
, then
and vice versa according to (
7). On the contrary, if
, then there is a vector
such that
.
Theorem 3. For any the measure is invariant under the action of the Abelian unitary group The -invariant measure admits the ring-ergodic decompositioninto the sum of mutually singular components. Proof. For every
the ring
is invariant with respect to the group
by construction. Invariant subrings
of the ring
are independent in the following sense. If
, then
for every
According to Lemma 3 the equality
holds for every set
since every set
is the finite union of sets from the semi-rings (
3).
Since the ring
is the completion of the ring
with respect to the measure
, the equality (
9) is valid. In fact, if
then there are sequences
such that
and
. For every
the equality (
9) is valid for sets
since
. Since
then the equality (
9) holds for every
.
The measure
is invariant with respect to the group
by the same property of the measure
. Thus, the measures in the decomposition (
8) are mutually singular and
-invariant.
Let us prove that the measure is ring-ergodic with respect to the group . Let us assume the contrary that the measure is not ring-ergodic measure of the group .
Hence, there are subrings
such that
are invariant with respect to the group
, the ring
is the completion with respect to the measure
of the collection of sets
,
is nontrivial measure for
and
. Therefore, there are sets
such that
and
since
and
.
Since
, there are sets
such that
and
. Since
, there is a vector
such that
. It is the contradiction with condition (
10). □
2.4. Decomposition of a Shift-Invariant Measure Ring-Ergodic with Respect to the Strongly Continuous Subgroup of Shifts
The action of the group E transforms a ring into itself for every . But the representation of the group E is not strongly continuous in spaces and
The Abelian group
equipped with the strong operator topology
is the continuous unitary representation in the spaces
of the subgroup
of the group
E equipped with
-norm on the coordinates with respect to ONB
. The proof of last statement is based on the estimate
from [
20].
A nonempty rectangle is called -equivalent to a rectangle () if there is a vector such that . Hence, if , then .
Let be a collection of non-empty rectangles such that (any rectangle is -equivalent to a centered rectangle). For every vector and every vector the symbol denotes the collection of rectangles such that .
Let , and . Then the rectangle is non-empty. Let be the set of classes of -equivalent vectors of the space . The following statement has the same proof as the Lemma 1.
Lemma 4. Let and . If , then .
For any we obtain the decomposition of the space to the orthogonal sum of subspaces such that any of this subspaces is invariant with respect to the group .
Let
. Let
be the ring generated by the family of sets
for every
(the construction of this ring is described in papers [
20,
27]). The following statement can be obtained as Lemma 2.
Lemma 5. The function of a set is additive and has the unique additive extension to the measure whose domain is the ring .
Lemma 6. Let . Let and . If , then .
Let be the completion of the ring by the measure . The symbol denotes the completion of the measure .
Theorem 4. Let be on ONB in the space E and . Thenwhere . The ring is the completion with respect to the measure of the ring which is generated by the collection of sets . Let us introduce the following extensions
of measures
:
Then the following statement take place.
Corollary 6. For any the measure is invariant under the action of the Abelian unitary group The measure admits the decompositioninto the sum of mutually singular components invariant with respect to the group . Invariant components of the measure
in decomposition (
12) are independent in the following sense. If
then
for every
Therefore, if
for some
, then
and vice versa according to (
11).
On the contrary, the following statement takes place.
Lemma 7. If , then there is a vector such that .
Proof. Since , there is the rectangles such that and .
Since , . Therefore, there is a vector such that . Hence, the rectangles and has the common center . Let . Then, and where are the length of projections of rectangles on the axis respectively. Since , . Hence, . Therefore, . □
Theorem 5. Let be on ONB in the space E, and . Then the decomposition (12) of -invariant measure is ring-ergodic. The proof of the Theorem 5 has the same scheme as the proof of the Theorem 3.
Similar decomposition will be obtained for the measure that is invariant with respect to the group of orthogonal mappings in
Section 6, Theorem 13.
Now we prove that the space is separable.
Let be an ONB in the space E and . Let be linear the space of functions of the form for every . The space equipped with the norm is the Hilbert space. Let be a linear hull of the set equipped with the norm of inductive limit of the sequence of Hilbert spaces The completion of the normed linear space is the Hilbert space which is the inductive limit of the sequence of Hilbert spaces
Lemma 8. The system of functions is the total system in the space .
Proof. By the definition of the space
the set
is total in the space
. □
Therefore, to prove the Lemma it is sufficient to show that for every the function is the limit of a sequence of linear combination of functions from the system . As the consequence we obtain that for every the function is also the limit of a sequence of linear combination of functions from the system .
For any
and for any
there is a number
such that
where the rectangle
is defined by the following rule. If
, then
, where
Therefore, . Thus, for every there is a sequence such that as .
According to Lemma 3.3 [
27] for any
and every
there are mutually disjoint rectangles
such that
. Therefore, for every
and every
there are a system of vectors
and a system of rectangles
such that
. □
Corollary 7. The space is separable.
Proof. The space
is separable since it contains the ONB
where
is an ONB in the space
.
The space is separable since in isomorphic to the Banach space .
The system of vectors
13 is total in the space
by the definition of this space. Moreover,
according to Lemma 7 in [
17]. Hence, if
is dense system of elements in the space
then the countable system of elements
is total in the space
□
3. Proximity for Two ONB and Orthogonal Transition Matrix
Let us study the dependence of the ring on the mutual position of two ONB in the space E. The description of this dependence gives the opportunity to define the procedure of the extension of the family of measures to the rotation invariant measure.
Let be an orthogonal operator in the space E. Let be a pair of ONB in the space E such that . Let us consider two measures and . We study measures and where .
Let be the matrix of transition of the basis into the basis . Hence, matrix elements are . Therefore, and where is the Kronecker symbol.
The sequence
is the unit vector of Hilbert space
since
are coordinates of the unit vector
, with respect to the basis
. But the sequence
can be not belong to the space
. We will show that if
then
for any set
. For a given ONB
the symbol
denotes the linear subspace
. If conditions
and
hold then the property of absolute continuity of measures
with respect to each other is controlled by following conditions on the pair of bases
We prove that the condition (
14) is equivalent to the condition (
15). If the conditions (
14) and (
15) are satisfied then
and the equality
holds for any
. In the opposite case the measures
and
take only zero values on an arbitrary set of the ring
.
The next Lemma defines the geometrical sense of values of products in left hand side of inequalities (
14) and (
15).
Lemma 9. Let be a unit rectangle from the collection of sets . Then Proof. According to the conditions the length of the orthogonal projection of the rectangle Q on the line (i.e., the length of j-th edge of the rectangle Q) no less than the sum of lengths of orthogonal projections of edges of the rectangle onto the line : . Therefore, we obtain the statement of Lemma 9. □
Lemma 10. Let and . If then . In particular, .
The statement is the consequence of the inequality
which holds for any
and for any collection of complex numbers
. □
Corollary 8. Let be a sequence of vectors of the space with coordinates such that . If then where for every .
Corollary 9. Let conditions of the Corollary 8 be hold. Then there is the number such that the maximum is reached on the only one number for any .
Lemma 11. Let , be a pair of ONB in the space E. Let be a sequence of natural numbers such that for every . Then the conditionis equivalent to the condition (14). Proof. Let the condition (
14) be hold. Let
. Then the series
converges. Hence, the series
converges and
.
Let
. According to Lemma 10 inequalities
hold for any
. Hence,
for any
. Here
, hence
. Then,
according to Corollary 8. Hence,
as
and the series
converges as well as the series
. Since
for any
, the condition (
16) is the consequence of the convergence of the series
and (
17).
Let the condition (
16) be hold. Let
. Then,
. Since
, the convergence of the series
is the consequence of the condition (
16). Therefore, the series
converges. Hence, the condition (
14) holds. □
Theorem 6. Conditions (14) and (15) are equivalent. Proof. Let the condition (
14) be hold. Hence,
. Therefore,
according to the Corollary 8. Hence, there is the number
such that
for any
.
There is the sequence of natural numbers
such that
Moreover, the number is uniquely defined for every . On the other hand there is the sequence of natural numbers such that . Since for all , for all . I.e., the maximal element of j-th column is the maximal element of -th row in matrix for any . Hence, .
Thus, for any .
The condition (
14) implies
according to the Lemma 11. Therefore,
Let
be the set of values of the sequence
. Let
be a set
. In the condition (
18) we can rearrange the order of summation of the series of non-negative terms:
In the last equality we use the following presentation of the set of summation indexes
Therefore, according to (
19) we obtain the following condition
Since
, according to the Lemma 11 the condition (
15) holds. If we swap the bases
and
, then we obtain that the condition (
15) implies the condition (
14). □
Corollary 10. Let be the transition matrix from one ONB to another. Then the product converges if and only if the product converges.
ONB
is called near to the ONB
if
and
satisfy the condition (
14). If the condition (
14) is not satisfy for two ONB
and
, then ONB
is called distant from the ONB
.
In the
Section 4 we show that if ONB
is near to ONB
, then measures
and
coincide. In the
Section 5 we show that if ONB
is distant from ONB
, then measures
and
are defined on different rings such that both measures
and
take zero value on an arbitrary set from the ring
. Results of
Section 4 and
Section 5 are obtained by the analysis of mutual position of rectangles with edges collinear to vectors of different ONB. Results of
Section 4 and
Section 5 give tools for the proof of the existence of shift- and rotation-invariant measures on the Hilbert space.
4. Ring in the Case of Nearness of Bases and
Let us prove that if the condition (
14) holds (as well as the equivalent condition (
15)), then rectangles
and
belong to the ring
and
At the first step to this goal we apply orthogonal mappings
of the space
E which only change the order of vectors in the basis
. Also we use the following property of the measure
to be invariant with respect to permutation of vectors of basis
.
Lemma 12. Let be an orthogonal transformation of the space E changing the order of vectors of the basis only. Let . Then, and for all .
Proof. The collection of absolutely measurable rectangles coincides with the collection . In fact, for any rectangle its edges are collinear to vectors of ONB and the product of lengths of edges converges unconditional. Therefore, . The opposite is also true. Moreover, for any according to unconditional measurability. We have since . Since the finitely additive function coincides with on the collection of sets , additive functions and has the unique (only one) additive extension to the ring . Therefore the completion of the measures and coincides with each other. Thus, we prove the statement on the transformation . □
Let and be a pair of ONB in the space E. Let us define subspaces and ; and for any .
Theorem 7. Let the condition (14) for the pair of ONB and be hold. Then there is the permutation of vectors of ONB such that this permutation transform ONB into ONB satisfying the conditionwhere Proof. According to condition (
14) we have
. Therefor the set
is finite. Since the condition (
14) implies the condition (
15), the set
is finite analogously. Let us denote by
numbers of elements in finite sets
respectively. Let us prove that
.
Let us assume that (the case can be considered analogously). Then for any .
We will done finite number of permutations of rows and columns of the matrix . For each permutation of two rows (of two columns) we done the permutation of corresponding vectors in the basis (in the basis ).
Step 1. Let us permute the vectors of ONB with the numbers from the set onto first positions. The natural order of numbers in the set and in its complement are preserved. Analogously, let us permute the vectors of ONB with the numbers from the set onto first positions. The natural order of numbers in the set and in its complement are preserved.
After the above permutation of bases and we obtain the matrix of transition with following properties. Each row with number greater than contains the only one element with the modulus greater than . According to the permutation in step 1 this element belongs to the column with the number greater than . Conversely, each column with number greater than contains the only one element with modulus greater than . This element belongs to the row with the number greater than .
Hence, there is the permutation of columns with the numbers such that each row with a number contains the only one element with the modulus greater than and this element belong to the column with the number . After this permutation of the vectors of the basis the matrix satisfies the condition: for any (and for any ) an element with the maximal modulus in the j-th column (in i-th row) is the element with .
Step 2. We transform the ONB by the following rule. We change the vector , onto the vector under the condition . In opposite case we remain .
The ring of subsets (and ) and the measure (and ) so not change under the transformation in steps (1) and (2) according to Lemma 12. The matrix under the above transformation satisfies the conditions .
In the proof of the Lemma 11 we should prove that the condition (
14) implies estimates
Therefore, there is the number
N such that
here
.
Let
(
) be the subspace of the space
E such that the orthonormal system of vectors
(
) forms the ONB in the space
(
). Let
be an orthogonal projector in the space
E onto a subspace
of the space
E. Let us consider the system of vectors
. Here
for any
. Therefore,
and for any
we have
Hence, the system of vectors
of the space
is the perturbation of ONB
which is small in the following sense
according to (
21). Therefore, the system of vectors
is the Riesz basis in the space
(see [
46], chapter 1.6). The system of vectors
is the Riesz basis in the space
E since it is nearby to the ONB
in the following sense
.
The subsystem of Riesz basis belongs to the subspace and forms Riesz basis in the subspace of codimension . Therefore, the system of vectors forms Riesz basis in the space E (here ). Hence, the system of vectors forms the basis in the space . It is impossible in the case . The contradiction proves that . □
Remark 1. The conditions (14)–(16) are invariant with respect to changing of numbering of vectors of bases . Remark 2. The theory of determinants of linear operators [47] forms different approaches to a definition of a determinant and to study conditions of its existence. The Poincare Theorem gives the condition on the infinite matrix of a linear operator in some basis sufficient to the existence of determinant. Poincare Theorem (see [
48], p. 400) states that the following two conditions (A) and (B) are sufficient for the existence of the determinant of an infinite matrix
(the determinant of the infinite matrix
is defined as the limit of
n-th order main angular minor of matrix
as
). Here (A) is the condition of unconditional convergence of products of diagonal matrix elements; (B) is the condition of absolute convergence of the series of non-diagonal elements of matrix
. If the matrix
is orthogonal, then the condition (A) is the consequence of the condition (B). In this case the condition (
16) on the pair of ONB
and
is equivalent to the condition (B) of the Theorem 25 [
48] for the matrix which is connected with the matrix
by means of permutations of rows and columns. Thus, the deformation of the measure under the action of linear mapping is connected with the determinant of the mapping.
Let us introduce some notations. Let be a pair of ONB. Finite-dimensional subspaces , and their orthogonal completions , are defined for any . Operators and in the space E are operators of orthogonal projections onto subspaces and respectively. For any the matrix , is the matrix of orthogonal projector from the subspace into the subspace in pair of bases and . Let be the Lebesgue measure in an n-dimensional Euclidean space.
Lemma 13. Let be a pair of bases which satisfies conditions (14) and (20). Then for any there is a number such that for any . Proof. To prove Lemma 13 we firstly obtain some asymptotic estimates for the spectrum of the matrix .
Norms of projections of vectors
onto a subspace
have following expressions
. Therefore,
Let a number
be fixed. Since the series
converges (Lemma 11), there is a number
such that
for any
. Then, according to (
22) and (
23) we have the estimate
Since the sequence of operators
converges to unit operator in the strong operator topology,
for any
. Therefore, there is a number
such that the inequality
holds for any
. Thus, for any
there are numbers
and
such that the condition
hods for all
.
Columns of the matrix
are coordinate columns of vectors
with respect to ONB
of the space
. Hence, the equality
holds for any
. Therefore,
for any
. Thus, according to (
25) there is a number
such that
for any
. □
Corollary 11. Let the assumption of Lemma 13 be hold. Then for any there is a number such that for any .
Proof. The matrix is positive matrix. Hence, it has the ONB of eigenvectors and the collection of n positive eigenvalues . The matrix is the matrix of the operator of orthogonal projection (and is the matrix of operator of orthogonal projection from the subspace onto the subspace ). Therefore, the eigenvalues of the matrix are no greater than 1 since and . Thus, .
Let us fix some . Then, according to Lemma 13 there is the number such that the inequality holds for any . Hence, where . Therefore, . According to Lagrange Theorem we have . Therefore, the inequality holds for any . □
Lemma 14. Let be a pair of bases which satisfy the conditions (14) and (20). Then for any . Proof. Since the rectangle is measurable, the equality holds. Here is the n-dimensional section of the rectangle Q by the hyperplane for each .
Let be the orthogonal projection of the n-dimensional rectangle from the subspace onto the subspace . The matrix is the Jacobi matrix of the linear mapping of orthogonal projection in the bases and in subspaces and . Therefore, .
According to Corollary 11 for any
there is the number
such that the condition
holds for any
. Moreover,
. Therefore,
□
Remark 3. The proof of the Lemma 14 is based on the existence of the determinant of the matrix (see [47,48,49,50]). Theorem 8. Let the condition (14) be hold. If , then and . On the contrary, if , then and . Proof. According to the Theorem 7 we can count that the condition (
20) holds. (In opposite case we can change the numbering of basis vectors to obtain (
20) but the rings
,
and measures
do not change). If we prove the first statement, then the second one follows from the first statement and the Theorem 6. To prove the first statement of the Theorem 8 it is sufficient to prove the statement for a rectangle
such that
.
In fact, let the first statement of the Theorem 8 is proved for a rectangle such that . Let and . Then, for any the rectangle can be inscribed into the measurable rectangle with positive measure . According to the above assumption and . Therefore, the external measure admits estimates . Since is arbitrary, .
Let us show that if and , then for any there are
- (1)
a set such that and (the upper estimate);
- (2)
a set such that and (the low estimate).
I. The upper estimate. Let
and
. Let
be a sequence of lengths of edges of the rectangle
Q. Then,
since rectangle
Q is measurable. Moreover, the series
converges absolutely since
. Hence,
where
. Since measures
are invariant with respect to a shift, we can count that the rectangle
Q is centered and it can be parametrized by the following way
Since the length of the rectangle Q projection onto the axis is equal to the rectangle Q can be inscribed into the rectangle such that edges of the rectangle are collinear to the vectors of ONB and lengths of edges form the sequence .
Let us prove that the rectangle
and
. It is sufficient to prove that the series
converges. For every
we have
In fact,
and the series
converges according to condition (
14). Analogously,
and the series
converges according to the Theorem 6. Hence, the sequence
is bounded. Therefore, the estimate (
26) holds.
Let us construct the centered rectangle
such that lengths of edges of this rectangle form the sequence
. Then, the rectangle
is absolutely measurable according to the estimate (
26).
Since the rectangle is measurable, the equality holds where is the n-dimensional section of the rectangle Q by the hyperplane for each .
Let be the orthogonal projection of the n-dimensional rectangle from the subspace onto the subspace . In the proof of Lemma 14 the equality is obtained. Here the matrix is the Jacobi matrix of the linear mapping of orthogonal projection in the bases and in subspaces and .
Let
be the orthogonal projection onto the subspace
of the unit rectangle
Q. Let
be the projection of the rectangle
onto
n-dimensional hyperplane
. Then,
for any
and
be the convex subset of the space
. Let
Hence, .
The rectangle
Q can be parametrized by shifts of
n-dimensional rectangle
along the vectors
by the equality
. Therefore, the set
admits the parametrization
where
. For every
we define the numbers
Hence, the set
lies in the convex hull
of shifts of the set
along the axes
onto the vectors
:
For every
the set
is the result of sequentially for
elongations of the set
along the axis
onto the value
in directions of vectors
and
. We prove that the set
is Jordan measurable and obtain the estimate
for its Jordan measure by using the induction with respect to sequentially elongation.
Let
for every
Then,
. We prove that sets
are Jordan measurable and obtain estimates (
30) by the induction with respect to indexes
. The set
is Jordan measurable and
Let
. Let the set
is Jordan measurable and the estimate
holds. Then,
where
Therefore, the set is Jordan measurable.
Inequalities
take place since the orthogonal projection
of the set
onto the
-dimensional hyperplane
belongs to the projection of the rectangle
onto this hyperplane. We have
since the elongation of the set
to the set
along the axis
is equal to
. Therefore, sets
are Jordan measurable and estimates (
31) are hold for any
. Thus, for every
the set
is measurable and the estimate (
30) takes place.
Lemma 15. Let the condition (14) be hold. Then . Proof. Let us fix a number
. Since the series
converges, there is the number
such that
for every
. According to the condition (
14) the inequality
holds for any
. Hence, there is the number
such that
. Thus, for every
we have estimates
□
Corollary 12. Let the condition (14) be hold. Then for every there is the measurable set , such that and the sequence satisfy the condition . The statement of the Corollary 12 is the consequence of the Lemmas 14, 15 and the estimates (
30).
Let
be the projection of the rectangle
Q onto the axis
. Then,
is the segment with the length
. Since
is the projection of the rectangle
Q onto the hyperplane
and
,
According to (
26) the series
converges absolutely.
Let us fix a number . Then, there is the number such that, at first, for any ; at second, for any according to the Corollary 12. Therefore, there is the set such that and , . Hence, the estimation from above for is obtained.
II. The low estimate. Let
and
For every the set is the orthogonal projection of the set onto the hyperplane .
Hence,
for any
. Then, for any
and any
the equality
holds. Since
,
. Therefore,
Let us consider numerical sequences
(see (
29)) and
Consider the set
where
The set
is the convex polyhedron in the space
. It is the image of
n-dimensional rectangle
from the space
under the action of projector
. Therefore,
The
n-dimensional set
admits the extension
along the directions
such that
. Consider the set
Here for every the number is chosen from the interval such that the condition holds. The condition is equivalent to the system of inequalities .
Since
for every
in the parametrization of the set (
35), according to (
34) we obtain estimates
Since
, according to (
35) we have
for any
. Therefore, the inequality
holds for any sufficiently large
n.
For every
we have
Hence, conditions
, are satisfied if the values
are defined by equations
Thus, if the number
is sufficiently large, then there is the set
of type (
37) such that
and its
-measure has the estimation
According to Corollary 11 we have
;
since
. According to Lemma 11 and Theorem 7 we have
and
Hence,
. Therefore,
Since
and
, the series
converges according to the condition (
15). According to the condition
the series
converges. Hence,
. Therefore,
according to (
38) and we obtain the low estimate. The proof of the Theorem 8 is finished. □
5. The Ring in the Case of Distant Bases and
Theorem 9. If the condition (14) is not satisfied, then and for any set . Lemma 16. Let . Let . Then there is the rectangle such that and .
Proof. Firstly, we consider the case where (we can assume that ). Let and . Then, . Since , there is the number such that and . Let be the rectangle such that k-th edge of is the segment and its j-th edge coincides with j-th edges of the rectangle for every . Then, the rectangle satisfies the following conditions: , and .
In general case , the statement of the Lemma 16 can be obtained by the applying of the induction method with respect to . □
Let
be the length of the projection of the unit rectangle
onto the axis
for every
. Let
be the length of the projection of the unit rectangle
onto the axis
for every
. Then,
according to Lemma 10 Since the condition (
14) is not satisfied, following two conditions hold
These two conditions are equivalent to following two equalities
Let and . There are three possible cases for sequences and .
- (1)
and .
- (2)
snd .
- (3)
either and , or vice versa.
Let us prove the statement of the Theorem 9 for every of these three cases.
Let us study the case (1). Consider the case and .
Lemma 17. Let . If and , then .
Let . If and , then .
Proof. Since , there are two possible cases: either
- (i)
;
or
- (ii)
.
Let us prove that for every of these cases conditions imply . Hence, .
- (i)
Let the condition be satisfied. Then the projection of the rectangle onto the axis is unbounded segment. However, the projection of a set S onto the axis is the finite union of bounded segments. Therefore, it is impossible to cover a rectangle by the finite union S of rectangles from the collection .
- (ii)
Let the condition be satisfied. If , then the sequence of lengths of projections of the rectangle onto the axes , is unbounded. If is the sequence of lengths of edges of the rectangle , then according to the condition . Therefore, the length of the projection of the rectangle onto the axis no less than . The sequence is unbounded according to (ii). Hence, the sequence of lengths of projections of the rectangle onto the axes is unbounded.
On the other hand, if is the finite union of rectangles from the collection , then the sequence of lengths of projections of the set S onto an axis is bounded. Hence, in the case (ii) it is impossible to cover the rectangle by the finite union S of rectangles from the collection . Therefore, . □
Corollary 13. If , then the condition implies . If , then the condition implies . If the condition 1) is satisfied, then for any set the equality holds.
Proof. Let . Let us assume the opposite that . Then, according to the Lemma 16 there is a rectangle such that and . According to the Lemma 17 the condition implies that . This is the contradiction to the condition . Therefore, . Analogously, the condition implies that . □
Let us study the case (2). Consider the case and .
Lemma 18. Let where . Let the condition (2) be satisfied. Then .
Proof. Let us assume the opposite that
. Let
be the sequence of lengths of the edges of the rectangle
Q. We can assume that
. In fact, in opposite case we can change the rectangle
Q onto the smaller inscribed rectangle
such that lengths of edges of the rectangle
no greater than 1. Then,
,
and
according to the condition
.
Therefore, if
,
and
is the sequence of lengths of edges of the rectangle
, then
Hence,
since the first series diverges according to the assumption of violation of the condition (
14) and the second series is converges according to the condition (
40) with finiteness of the value
. But the condition
implies that
. The obtained contradiction proves the statement of Lemma 18. □
Corollary 14. Let the condition (2) be satisfied. Then for any rectangle the equality holds.
Proof. Let us assume the opposite, that there is a rectangle such that . Then, there is the set such that and . Hence, according to Lemma 16 there is a rectangle such that and . Therefore, according to Lemma 18. This is the contradiction with the condition . □
Let us show that for any . For this goal we prove that if the rectangle and , then it is impossible to cover the rectangle by the finite union of rectangles .
Lemma 19. Let where and . Then there is a hyperplane Γ of finite codimension of typesuch that for some . Proof. Let us prove the statement by the induction. Firstly we note that the statement is true for since in this case and .
Let be the orthogonal projection onto the subspace in the space E for every . For every the intersection is either empty set or rectangle in the hyperplane .
Let .
The intersection is the union of no more than m nonempty rectangles in the hyperplane . Therefore, for every the set-valued function , can has only finite number of values and these values lies in a set of subsets of the subspace .
If the set-valued function , has only one nonempty value for any , then the set S is the rectangle and the statement of the Lemma is true for hyperplane for any j and for any .
In opposite case there is a number and there are such that the sets and are nonempty sets and . Hence, for at least one of two numbers (for certainty, for the number ) the set can’t be the union of m nonempty rectangles in the space . Therefore, there are numbers and such that the set is the union of no more than rectangles in the space . Then, we can apply the assumption of induction to the set in the space . Thus, we obtain the statement of the Lemma. □
Corollary 15. Let and where Then there are a hyperplane Γ of type (41) and a number such that . Lemma 20. Let be a pair of ONB such that the condition (2) is satisfied. If and , then . If and , then .
Proof. We can assume without loss of generality that
q is a centered rectangle such that the sequence of lengths of its edges
satisfies the condition
(see proof of the Lemma 18). Since
,
and
. Lengths of the projections of the rectangle
q onto axes
form the numerical sequence
. Then,
. On the other hand, the condition
holds according to Lemma 18. For every
the projection of the rectangle
q onto the axis
is the segment containing the interval
.
The rectangle
q admits the parametrization
Let us fix a numbers
and
. Let us consider the intersection
. The set
admits the parametrization
Since , . Hence, there is a vector such that and .
Since
for given
j, we can define the positive number
Hence, for given number
j there is the number
such that
. Therefore, for every collection of numbers
such that
there is the number
such that
.
Thus, points with parameters
, in the parametrization (
43) belong to the set
if the following conditions hold:
For any
which is given by parametrization (
43) with the parameters from the set (
44) we have
. Hence,
for any
. Therefore, for every
we obtain
According to (
42) and the condition
we have
Therefore, every intersection of the rectangle
q by the one-codimensional hyperplane of type
can not be covered by some measurable rectangle
. Because if
, then for every
the
k-th edge of rectangle
should has the length no less than
. Thus, the condition
is violated according to (
45).
The same reasoning allows us to show that every intersection of rectangle
q by the
m-codimensional hyperplane
of type
with some
can not be covered by some measurable rectangle
.
Let us assume that
. Then there is the set
such that
. Then,
for every
and for every
. Therefore, according to the Corollary 15 the condition
implies that there are numbers
and
such that
and
. Hence, the intersection
is covered by one rectangle
.
The obtained contradiction prove that the rectangle can’t be covered by the finite union of rectangles from the collection . Hence, . □
Corollary 16. Let the pair of bases satisfy the condition (2). Then for any the equality holds. (The proof is the same as the proof for the Corollary 13).
Let us study the case (3). Consider the case , , or vice versa.
Let , . Then the sequence , either is an unbounded real valued sequence or takes values . The sequence is bounded against, but . Since , according to the corollary 13 for any set .
Theorem 10. Let the condition (3) by satisfied. Then for any set .
Proof. Let us assume the opposite, that there is a set
such that
. Then, according to the Lemma 16 there is the rectangle
such that
and
. Let
be the sequence of lengths of edges of the rectangle
. Then, we can assume without loss of generality that
. Since
,
. In particular
The lengths of projections of the rectangle
q onto the axes
are
Therefore, if
and
, then
To prove the Theorem 10 we firstly obtain following five statements.
Lemma 21. If the conditionis satisfied, then . Proof. Let us fix
. According to (
46) there is the number
such that
for any
.
Since
for any
k, we have
. Hence, there is the number
such that
for every
. Therefore, for every
we have the estimate
Since
is arbitrary, according to (
47) we can choose the value
in (
48) such that there is a strictly monotone sequence of numbers
satisfying following condition:
for any
. Hence,
and Lemma 21 is proved. □
Corollary 17. If the condition (47) is satisfied, then a rectangle with positive measure can’t be covered by a rectangle . Let us introduce the notation .
Lemma 22. Let the condition (47) be violated. If , then a rectangle q with positive measure can’t be inscribe into any rectangle . Proof. Since
, the negation of the condition (
47) implies that there is the limit
. According to Lemma 10 the condition
implies the estimate
; the condition
implies the inequality
(remember that
). Hence, the equality
implies that
. If
(see the notation used in the Lemma 11), then
. Therefore, the asymptotic equality
as
holds. For every
we have the estimate
According to (
49) we have
as
. Therefore, there are numbers
and
such that
for every
. Hence,
according to (
50). Since the condition (
14) is not satisfied, the nonnegative series
diverges. Therefore,
hence
□
Lemma 23. Let and the sequence of lengths of its edges satisfy the condition of the Lemma 22. Then .
The proof of the Lemma 23 repeats the proof of the Lemma 20.
Lemma 24. Let and . Then .
Proof. Let us assume the opposite, that . Hence, there is a set such that and .
Since , there is a number such that .
We can assume that the rectangle
q is centered. Consider the orthogonal projections
of the rectangle
q onto
N-dimensional subspace
and onto its orthogonal complement respectively. Let
be the centered unit rectangle in the subspace
. Let
. Then the rectangle
Q satisfies conditions of Lemma 22. Therefore,
Lengths of edges of the rectangle
q satisfy conditions
. Hence,
and
. Since
, there is the collection of vectors
such that
(here
). Since
, we have
. Thus, we obtain the contradiction with the condition (
51). □
Therefore, the statement of the Theorem 10 is the consequence of the Lemma 24.
Corollary 18. Let the condition (3) be satisfied. Then the equality holds for any set .
The Theorem 9 follows from corollaries 13, 16, 18.
6. Isometry-Invariant Measure
Let be the group of isometries of the space E. The group is generated by the group of shifts on a vector of the space E and the orthogonal group of orthogonal mappings in the space E.
Let be a set of ONB in Hilbert space E. Theorems 8 and 9 imply the following statement.
Theorem 11. Let . Then . In particular, if the condition (14) is satisfied, then and . If the condition (14) is violated, then for every set . Consider the family
of rings of subsets of the space
E. Let
. Let us define the function of a set
by the equality
. The function
is correctly defined since
for every
due to the Theorem 11. Let
r be the ring generated by the family of sets
. Let us study the problem of extension of the function
from the collection of sets
to the ring
r [
51].
Let us introduce the relation ∼ on the set
of ONB by the following way. ONB
and
are in the relation ∼ if the condition (
14) is satisfied for ONB
and
.
Definition 2. ONB and are called equivalent if they satisfy the condition (14). The relation ∼ in Definition 2 is obviously reflexive. According to the Theorem 6 the relation ∼ is symmetric. Now we prove that the relation ∼ is transitive. Let us assume that the pairs of ONB
,
and
,
satisfy the relation ∼ (
14). Then
and
according to the Theorem 11. Therefore,
. Hence, ONB
,
satisfy the condition (
14) according to the Theorem 11. Hence, the relation ∼ is transitive.
Let
be a set of equivalence classes with respect to relation ∼:
. For every ONB
the space
of quadratically integrable with respect to the measure
complex valued functions is introduced by the standard way (see [
17]). If
and
, then
according to the Theorem 11 and definition of the spaces
. The symbol
denotes the space
for arbitrary choice of an ONB
.
Now we describe the ring generated by the family of subsets for a pair of ONB belonging to different classes . Moreover, the sum of spaces and will be defined.
The intersection of rings
and
is the ring which is denoted by the symbol
. Then,
according to the Theorem 11. Then, the space
is the subspace of Hilbert spaces
and
. Let
and
be orthogonal complements of the space
up to spaces
and
respectively. Then, Hilbert space
is defined as the direct sum of three orthogonal subspaces
Lemma 25. Let be different equivalence classes of ONB in the space E. Let . Then . Moreover, there is the shift-invariant measure such that . Here the ring is generated by the family of sets .
Proof. If equivalence classes are different, then the equality holds for any according to the Theorem 11. Hence, the space is trivial and . □
Thus, every pair of Hilbert spaces
and
defines the Hilbert space
Let
be the ring which is generated by the collection of sets
The equality (
53) defines the scalar product in the space
. This scalar product defines (see [
17]) the extension of the measures
to the shift-invariant measure
according to the following condition. The value of the measure
on a set
is given by the equality
for every sets
. The value of the measure
on other sets of the ring
is defined by the additivity condition. Therefore, the function
is the finitely additive measure. This measure is shift-invariant by the construction. Moreover, if
, then
and
according to (
53) and (
54). □
Let us endow the linear hull with the Euclidean norm of direct sum of Hilbert spaces. Let where . Then, the intersection is trivial subspace according to Lemma 25. Hence, the representation of an element in the form where , is unique.
For any vector
of the form
, let us define
Then, the function (
55) is the Euclidean norm on the space
. By the construction the linear hull
with the norm (
55) is invariant both with respect to a shift of the argument of functions
on any vector of the space
E and with respect to a transformation of argument of functions
by any orthogonal operator in the space
E. The completion of Euclidean space
by the norm (
55) is the Hilbert space
.
Theorem 12. There is the unique finitely additive measure which is an additive continuation of measures , to the ring r generated by the family of sets . The completion of the measure is σ-finite, locally finite, invariant both with respect to shift on any vector of the space E and with respect to any orthogonal transformation of the space E. But the measure λ is not countably additive. The measure λ is connected with the space by the equality .
Proof. Let
r be the ring of subsets of the space
E which is generated by the system of sets
. Hence, the ring
r is generated by the semi-ring
Since the system of sets
is the ring, we can assume that
for every
Hence,
according to the Theorem 11. Thus, the there is the unique additive continuation
of measures
, to the semi-ring
s which is defined by the equality
for any set
from the semi-ring (
56). Then,
. Additive function
on the semi-ring
s admits the unique additive extension to the measure
on the ring
r. Moreover, the measure
satisfy the condition
.
The semi-ring s and the generated by this semi-ring ring r are invariant with respect to both a shift on a vector of the space E and an orthogonal mapping of the space E. The measure is both rotation- and shift-invariant measure on the space E by its construction.
According to [
17] (see also [
40]) the measure
takes zero values on a ball of the space
E with sufficiently small radius
([
44]). Therefore, the measure
is locally finite. Its
-finiteness is the consequence of its locally finiteness and the separability of the space
E. Moreover, since
for any ball
where
, the measure
is not countably additive according to the separability of the space
E.
The measure
is not complete. Its completion
is defined by the standard scheme by means of external and internal measures (see [
17]). Here
is the completion of the ring
r by the measure
.
According to the construction of measure the following equality holds for every . Therefore, . Linear manifold is dense in the space since the space is defined as the completion of the Euclidean space .
The linear hull of the family of indicator functions of sets from the ring is the dense linear manifold in the space according to definition of this space. Since the ring is the completion of the ring r with respect to measure , the linear hull of the family of indicator functions is dense in the space .
The ring r is generated by families of sets . Therefore, the linear manifold is dense in linear space equipped with the Euclidean norm of the space .
Since the linear space
is the dense linear manifold in the space
for every
, the linear manifold
dense in the linear space
equipped with the norm
.
Therefore, since the norm and the norm of the space are coincide on the vectors of linear manifold and this linear manifold is dense both in the space and in the space . □
The Theorem 12 gives the orthogonal decomposition of the space . According to the Lemma 25 the condition implies . Thus, we obtain the following
In fact, the Hilbert space
is defined as the completion of linear hull of the family of spaces
equipped with the scalar product (
55).
The decomposition of the space
to the orthogonal sum of the invariant with respect to the group of shift subspaces as well as the decomposition of the space
to the orthogonal sum of
-invariant subspaces in the Theorem 2 present analogs of the lamination of the phase space of a dynamical system to invariant manifolds in the work [
52].
Corollary 20. Let . If bases satisfy the condition (14), then . If the condition (14) is violated for bases , then . Theorem 13. Shift- and rotation-invariant measure on the space E from the Theorem 12 admits the decompositioninto the sum of mutually singular shift-invariant measures . Here for every the measure is given by the equality Proof. In the proof of Theorem 12 we show that if
, then for any
there are
and
such that
and
. This fact and the Theorem 11 together imply the equality (
57) where measures
are defined by (
58). The mutually singularity of measures
under the assumption
is the consequence of the decomposition (
57) and the Theorem 11. □
Remark 4. If is the unitary operator in the space E, then for any set and for any class of ONB .
Let us obtain the ring-ergodic decomposition of isometry-invariant measure for a subgroup of the group of isometries .
Lemma 26. The family of orthogonal mappings forms a subgroup of the orthogonal group .
Proof. The unit operator belongs to . According to the Theorem 11, if and , then and . □
Let be an ONB in the space E. Let be the group of isometries which is generated by the groups and the group . Let be the class of absolutely measurable rectangles which are -equivalent to centered rectangles. Then, according to Theorem 3 the measure is -invariant and ring-ergodic with respect to the group of shifts .
Corollary 21. Let be an ONB in the space E. Then the measure is ring-ergodic invariant measure on the space E with respect to the group of isometries .
The proof of Corollary 21 repeats the proof of Theorem 3.
7. Linear Operators in the Space Generated by Orthogonal Transformations of Argument
Let
, be the one-parametric family of operators in the space
which is given by the following way. Consider an ONB
in the space
E. Let
, be a sequence of two-dimensional orthogonal subspaces of the space
E. Let
be a sequence of real numbers. Let us consider the group
of orthogonal transformations of the space
E such that, at first, subspaces
are invariant with respect to operators of this group and, at second, for every
the restriction
has the matrix
Let
, be a one-parametric family of operators in the space
E such that for every
the operator
is given by the equality
Since the measure
is invariant with respect to any orthogonal transformation of the space
E, the equality (
59) defines the unitary operator
in the space
for every
. The one-parametric family of operators
forms the one-parametric unitary group in the space
.
It is easy to check that the matrix of the orthogonal operator
in an ONB
satisfies the condition (
14) if and only if
.
Lemma 27. If , then one-parametric group , of unitary operators in the space is not strongly continuous.
Proof. Let be a set such that Let us assume the opposite, that the one-parametric group is strongly continuous. Then, the function , is continuous.
But this function has the discontinuity point
since
and
. In fact,
. Since the orthogonal mapping
does not satisfy the condition (
14), subspaces
and
are orthogonal and
. The obtained contradiction proves the statement. □
Lemma 28. If , then a subspace is invariant with respect to operators of one-parametric group . Moreover, the group is strongly continuous unitary group in the space .
Proof. The condition
implies that for every
the matrix of orthogonal mapping
in the basis
satisfies the condition (
14). Therefore, ONB
and
are equivalent and hence
.
Let us fix a number . Let . For every the equality holds. Here . Hence, and
Therefore, for any
there is a number
such that
. In fact, for every
we have
and
according to Lemma 14. The strong continuity of the group
is the consequence of the decomposition
(see [
40]) and the strong continuity of the group of orthogonal transformations of the argument of a quadratically integrable function on a finite-dimensional Euclidean space
. □
Remark 5. Let . Then a subspace can be not invariant with respect to operators of the one-parametric group (59) for every choice of ONB . Moreover, the group (59) of unitary operators in the space can be discontinuous. This fact is shown by the following example. Let the operator
in the ONB
has the matrix
The operator
is trace class operator and the statement of the Lemma 28 takes place. Let us consider the ONB
which is the image of the ONB
under the action of the orthogonal mapping
of the space
E with the following matrix in ONB
Rows of the matrix
forms the orthonormal system in the space
. There is the choice of this orthonormal system such that the following condition
holds. Let us consider the orthogonal mapping
such that the condition (
60) is satisfied. Then, the matrix of the orthogonal operator
in the ONB
is
Hence, the condition (
14) is not satisfied for bases
and
such that
. If
and
, then bases
and
are equivalent in the sense of the definition 2, but bases
and
are not equivalent. Hence, subspaces
and
are orthogonal in the space
for any
according to the corollary 20. Then, the group of unitary operators (
59) in the space
is discontinuous since the function
, is discontinuous for any nontrivial vector
Remark 6. The condition (14) on the orthogonal mapping Λ and ONB in the space E should not be considered as the condition on the operator Λ only. In particular, the condition (14) is not the consequence of the belonging of the operator to the space of trace class operators. This fact is shown by the example in the remark 5. In fact, the operator is trace class operator (as well as the operator ). Nevertheless, the operator and the basis satisfy the condition (14), but the operator and the basis are not satisfy the condition (14). Remark 7. The unitary group of operators in the space generated by the group of orthogonal mappings (59) in the space E has the strong continuity property describing by Lemmas 27, 28 and Remark 5. This property is similar to the strong continuity property of the unitary group of operators in the space generated by the group of shifts of argument according to the formulaIf , then the group of unitary operators (61) is not continuous in the space . But it has the family of invariant subspaces and the restriction , is strongly continuous group in the space if and only if (see [53]). 8. Measures Invariant with Respect to Some Group of Simplectomorphisms
8.1. Symplectic Structure
Now we introduce standard notations for the symplectic space and Hamiltonian systems that are used in [
27]. Symplectic form on a real separable Hilbert space
E is a non-degenerate closed differential 2-form on the space
E. If a symplectic form on a Hilbert space
E is invariant with respect to a shift, then it is given by a non-degenerate skew-symmetric bilinear form
on the space
E. A Hilbert space
E is identified with its conjugate space. Let
be the Banach space of bounded linear operators
endowed with the operator norm. If linear operator
is associated with the bilinear form
, then
is the non-degenerate skew-symmetric operator ([
54]). Shift-invariant symplectic form
on a real separable Hilbert space
E is called standard, if there is an orthonormal basis (ONB)
such that
where
is the Kronecker symbol.
The standard symplectic form
defines decomposition
of the space
E to the direct sum of two subspaces
such that the following properties take place. There is a pair of ONB
,
in the subspaces
Q and
P respectively such that
and
. Then,
(see [
30]). In the above case the basis
is called symplectic basis of the symplectic form
in the space
E. Symplectic form
on the space
E with the symplectic basis
is given by bilinear form of skew-symmetric symplectic operator
which is associated with symplectic form
by the condition
Then, the symplectic operator is defined by equalities
. Spaces
Q and
P are called configuration and momentum space respectively. Any of this two spaces is conjugate to the other. (see [
30,
54,
55]).
Hamiltonian system is defined as the following triplet
Here
is a Hilbert space with the symplectic structure,
is the real-valued function which is continuously differentiable in the sense of Gateau on a dense subspace
of the space
E. The function
h in this triplet is called Hamilton function [
30,
55].
For example, if Hamilton function
h is defined by the equality
then
,
. Here
,
and
is an ONB in the space
E.
A densely defined vector field
is called Hamiltonian vector field if there is a function
, such that
. Here the Hamilton function
h is Gateau differentiable on the dense subspace
of the space
E. In this case
is the differential of the function
h. In this case the differential equation
on the unknown function on a segment
is called Hamilton equation for the Hamiltonian system
([
54,
55]).
A linear Schrödinger equation is the Hamilton equation of a Hamiltonian system with quadratic Hamilton function such that the operator of quadratic form commute with the symplectic operator. In this case the phase space is the reification of complex Hilbert space of a quantum system ([
54]).
A Hamiltonian vector field
generates the one-parametric group
of continuously differential transformation of the space
such that
One-parametric group of transformation of the space is called smooth Hamiltonian flow in the space
If a Hamiltonian flow in the space admits the unique continuous continuation to the space E, then this continuation is called generalized Hamiltonian flow in the space E generated by the Hamiltonian vector field (by the Hamilton function h). this continuous continuation of a smooth Hamiltonian flow of linear operators to a generalized Hamiltonian flow exists if values of the smooth flow are contraction operators in the space E. The described situation is realized in the case of Hamiltonian system connected with a linear Schrodinger equation.
8.2. Symplectomorphism-Invariant Measures
Now we consider measures on a real separable Hilbert space
E with a shift-invariant symplectic form
such that these measures are invariant with respect to some group of symplectomorphisms (see [
27,
56]). Let
and let
be the symplectic basis of the form
(see (
62)).
Definition 3. A set is called absolutely measurable symplectic rectangle in the Hilbert space E if there is a symplectic form ω on the space E with a symplectic basis such that the set Π is given by the equalitywhere are Lebesgue-measurable sets in a plane such that the conditionholds (here is the Lebesgue measure on ). Let be the set of absolutely measurable symplectic rectangles in Hilbert space E.
Let us note that symplectic basis in the definition 3 depends on the choice of symplectic rectangle. Let us fix a symplectic basis
. Let
be the set of absolutely measurable symplectic rectangles such that any of these rectangles has the form (
65) in the basis
.
Let
be a function of a set which is given by the equality
under the condition
;
in the case
.
It is easy to check that if
for some ONB
, then
. Moreover, the class of sets
is invariant with respect to a shift on any vector of the space
E. The function of a set
is shift-invariant too. A set
in (
65) is denoted by the symbol
.
Lemma 29 ([
27]).
The function of a set is finite additive. Let be a ring generated by the system of sets It is easy to check the statement.
Lemma 30 ([
20]).
The class Λ of sets where , , is the semi-ring. Corollary 22 ([
20]).
Let be the ring generated by the class of sets . Then the ring consists of finite union of sets from the semi-ring Λ. Let us define the collection of the sets of the type for any , . In addition, for any we introduce the collection of sets of the type , where . Then, for every and the equality holds.
Lemma 31 ([
27]).
Let and . Then, for any there is a number such that , and there are pairwise disjoint symplectic rectangles such that . Lemma 32 ([
27]).
Let and . Then there is a sequence of pairwise disjoint symplectic rectangles from the class such that and the equality holds. Theorem 14 ([
27]).
The additive function of a set has the unique additive extension on the ring . The completion of the measure is the complete measure , which is invariant with respect to a smooth symplectorphism which preserves two-dimensional symplectic subspaces of the decomposition . The completion of the measure is the complete measure . The ring defines the ring in the following way. Internal and external measures are defined by the measure on the collection of arbitrary subsets of the space E. Then, .
Remark 8. The measure defines (see [27]) the space by the standard way as the completion in euclidean norm of the space of equivalence classes of simple functions. 8.3. Invariance of the Symplectic Measure with Respect to Hamiltonian Flows
Let
be a non-degenerate quadratic form on the space
E. Let us consider function
h as the Hamilton function on the symplectic space
. Quadratic form
h on the space
E has the canonical basis
such that its quadratic form is diagonal on the basis of
. Let us assume that the linear operator associated with the form
H commutes with the symplectic operator. Then the basis
can be chosen as the symplectic basis of the symplectic form
([
54]). Hence, the bilinear form
satisfies equalities
and
in other cases. Let us introduce the orthonormal systems
in the subspaces
such that
.
Let us consider a countable system of non-interacting oscillators.
Lemma 33 ([
27]).
Let be a symplectic basis of the form ω such that conditions (62) hold. Let a quadratic form h be diagonal on the basis of :where . Then the Hamiltonian vector field is defined on the space . This vector field generates the smooth Hamiltonian flow in the space . The flow has the unique continuation to the generalized Hamiltonian flow in space E. The symplectic measure is invariant with respect to the generalized Hamiltonian flow . Proof. The dynamics of the Hamiltonian system (
66) is defined by the countable system of ordinary differential equations
The Hamiltonian system (
67) has the first integral
Here,
is the self-adjoint operator in the real Hilbert space
E such that the spectrum of operator
H is the sequence of eigenvalues
and
for any eigenvalue
. Then, there is the group
of orthogonal operators defined in space
E. For any
, the subspaces
are invariant subspaces of this group. The restriction
is the two-dimensional Hamiltonian flow
of orthogonal operators in space
. For any
, the two-dimensional Hamiltonian flow
is defined by the Hamiltonian function
.
The subspaces are invariant with respect to the group of operators of the Hamiltonian flow. Therefore, the restriction is the smooth Hamiltonian flow in the space , which is the domain of the vector field . The group of operators are the unique continuations of the smooth Hamiltonian flow in the space
If , then and for all . (Here, ). Therefore, the ring is invariant with respect to the generalized flow and equalities hold. □
The flow
in the space
E from Lemma 33 defines the one-parametric group
of linear isometric operators in the space of simple functions
. The group of isometries
in the space
is the unique continuous extension of the unitary group in the space
such that
The unitary group (
68) is called the Koopman representation of the Hamiltonian flow
.
8.4. Koopman Group in the Space and Its Generator
Let the Hamilton function
of the flow
be the reification of the quadratic form of a positive operator
in the space
with the discrete spectrum
. Then,
is the Hamiltonian of the countable system of oscillators in the symplectic space
:
The Hamiltonian flow preserves the two-dimensional symplectic subspace of the space E. Moreover, it preserves the measure
Example 1. Let . Then, the function , is continuous if .
Lemma 34. The Koopman group is the unitary group in the space which is strongly continuous if and only if the sequence is finite.
Proof. According to [
56], the space
is the tensor product
. Here,
is the linear hull of the first
vectors of ONB
and
is the orthogonal complement of
. Let
be a part of ONB
which belongs to the space
. Let
.
Let . Let the flow be generated by the Hamiltonian . Then, for every , the mapping is the tensor product of an orthogonal mapping in the space and the identical operator in the space . Therefore, if , then where is the Koopman group of Hamiltonian flow in the space , is the Koopman group of the system of n harmonical oscillators in the space and is the identical operator in the space . It is well-known that the Koopman group of a system of n oscillators is the strong (and uniformly) continuous one-parametric unitary group in the space . Hence, group of countable system of oscillators with a finite sequence of frequences is the strong continuous unitary group in the space .
Conversely, let . Without loss of generality, we can assume that The flow is the tensor product of two-dimensional flows in the space . For every the group, is the rotation in the plane with the angular velocity . Let us consider the round of radius in every plane . Let be a sequence with values in the set . For every , the round is subdivided into sequentially numbered congruent sectors of square . Let be the union of sectors with even numbers. Then, . Let . Then, is the symplectic rectangle and .
The absence of the strong (weak) continuity of an operator-valued function is the consequence of the discontinuity of scalar function .
Let us fix a number
. For every
, the condition
holds for every
, where
Hence, there are -valued sequences and such that, for every , there is a number such that and .
Therefore, there is a sequence such that every right half-neighborhood of a zero point contains a point such that for infinitely many numbers .
Hence, there is a sequence such that and for any . This fact implies the discontinuity of the function in point , since . □
To define the strong continuity subspaces, we use the spectral properties of Koopman generator.
Let be the Hilbert space of Lebesgue measurable functions , which are quadratically integrable with the weight . Let be the space of finite sequences with values in the set of integer numbers .
Theorem 15. The Koopman group has the invariant subspace such that the group is strongly continuous in the space . The generator of the strongly continuous group has the countable set of eigenvaluesEvery eigenvalue has the proper subspacewhere , is an ONB in the space , and . The Hilbert space is the invariant subspace of strong continuity for the group .
Proof. It is directly calculated that
Hence, the generator
of the strongly continuous group
has the countable set of eigenvalues
. Moreover, every eigenvalue
has the infinite dimensional proper space (
69). If
, then it is easy to check that subspaces
and
are orthogonal. If
, then the eigenvalue
has the proper space
. Every proper space
is invariant with respect to the group
and the restriction
is strongly continuous group in the space
. Therefore, if
, then the space
is invariant with respect to the group
and the restriction
is strongly continuous group in the space
. □
Remark 9. If the sequence is not finite, then the Koopman unitary group is not continuous on the whole space . However, it has the invariant subspace of strong continuity . Some parts of the space can be defined using the spectral properties of the unitary group .
8.5. Measure with the Property of Orthosymplectic Invariance
We see that the shift-invariant measure on the Hilbert space has continuations to measures on more wide rings such that a continued measure is invariant with respect to a mere wide group. One of these continuations is the invariant with respect to the group of isometry measures . Another continuation is the measure which is invariant with respect to the group of symplectomorphisms.
Lemma 35. There is no continuation of the measure which is invariant both to the group of symplectomorphisms and to the orthogonal group.
Proof. Let us assume the opposite, that there is a measure which is defined on ring of the subsets of the space E such that
- (1)
, and , .
- (2)
and and for any orthogonal mapping .
- (3)
and and for any symplectomorphism preserving two-dimensional symplectic subspaces.
Let be a symplectic rectangle such that . Since , is an absolutely measurable symplectic rectangle, and .
Let be an orthogonal mapping of the space E which changes the order of the vectors of the symplectic orthonormal basis only. Then, according to our assumption, and
Let us pose that Then, where and . Therefore, is orthogonal mapping, but . Thus, there is no continuation of the symplectomorphism-invariant measure such that this continuation is invariant with respect to the orthogonal group. □