Abstract
We consider algebras of polynomials and analytic functions that are invariant with respect to semidirect products of groups of bounded operators on Banach spaces with symmetric bases. In particular, we consider algebras of so-called block-symmetric and double-symmetric analytic functions on Banach spaces and the homomorphisms of these algebras. In addition, we describe an algebraic basis in the algebra of double-symmetric polynomials and discuss a structure of the spectrum of the algebra of double-symmetric analytic functions on
Keywords:
symmetric analytic functions on Banach spaces; algebras of analytic functions; algebraic bases; semidirect product; block-symmetric polynomials MSC:
46G20
1. Introduction
Let X be a complex Banach space and S a group of bounded operators on A function f on X is said to be S-symmetric if it is invariant with respect to the actions of operators in We denote by the algebra of S-symmetric polynomials on The algebras of symmetric polynomials on a finite-dimensional linear space are typical objects of the Classic Invariant Theory [1] (see also a survey in [2]), where principal results were obtained for finite groups. In the case of an abstract infinite-dimensional Banach space, we have different problems arising from the topological structures of Banach spaces, and we need different methods (and notations). The authors of [3,4] considered discrete and continual analogues of the group of permutations of variables for abstract Banach spaces with symmetric structures and obtained representations of algebraic bases in the corresponding algebras of symmetric polynomials. Symmetric polynomials with respect to the actions of abstract groups of operators on Banach spaces were investigated in [5,6,7]. Note that in the case of Banach spaces, it is natural to investigate algebras of symmetric analytic functions (as completions of algebras of symmetric polynomials in some suitable topology) and their spectra.
Algebras of symmetric analytic functions of a bounded type on were considered in [8,9]. These investigations were continued in a number of papers (see, e.g., [10] and the references therein). A continual group of symmetry and the corresponding algebras of symmetric analytic functions on were investigated in [11,12,13]. If the algebra of S-symmetric polynomials admits an algebraic basis then any homomorphism of can be defined by its evaluations on polynomials In other words, any homomorphism can be uniquely determined by the sequence If it is continuous with respect to a uniform topology on then it can be extended to a corresponding algebra of symmetric analytic functions. Thus, the first important question concerning an algebra of symmetric polynomials is about the existence of a countable algebraic basis (or a generating sequence) of polynomials. The algebras of analytic functions on generated by a countable family of polynomials were systematically studied in [10,14,15,16].
In this paper, we consider the case when S is a semidirect product of two groups of symmetry on a Banach space For the case , we obtain an algebraic basis of the algebra of S-symmetric polynomials and apply it for a description of the spectrum of the algebra of S-symmetric analytic functions of a bounded type on
In Section 2, we give the necessary definitions and preliminary results. Various classes of symmetric polynomials are considered in Section 3. In Section 4, we consider the question how to describe generators of S-symmetric polynomials if S is a semidirect product of two groups acting on X, and we have information about the generators of the symmetric polynomials related to these groups. In Section 5, we apply the obtained results for the corresponding algebras of symmetric analytic functions on and their spectra.
General information on polynomials and analytic functions on Banach spaces can be found in [17,18].
2. Preliminary Results
Let us denote by the algebra of all analytic functions on a Banach space X over the field of complex numbers Recall that an entire analytic function f on X can be defined as a continuous function such that the restriction of f to a y finite-dimensional subspace of X is analytic. An analytic function is an n-homogeneous (continuous) polynomial if for every and A finite sum of homogeneous polynomials is a polynomial. The algebra of all continuous polynomials on X is denoted by It is well known that every function can be represented as a series of n-homogeneous polynomials
which is called the Taylor series of
A function is said to be of a bounded type if it is bounded on bounded subsets of The algebra of all the entire functions of a bounded type is denoted by This is a Fréchet algebra with respect to the metrizable locally convex topology generated by the following countable family of norms
where r goes over positive rational numbers. It is known (see, e.g., [19]) that is a proper subalgebra of providing X is infinite-dimensional. A continuous complex-valued homomorphism is called a character of and the set of all characters is the spectrum of The spectrum of was investigated by many authors [20,21,22,23,24,25,26,27]. In particular, it is known that for every point the point evaluation functional is a character on Moreover, for every point z of the second dual space of X, we can assign a functional where is the Aron–Berner extension [28] of f to In the general case, the functional does not exhaust the spectrum of , and it may have a complicated structure. It was a motivation for studying the spectra of the countable generated subalgebras of in particular, the subalgebras of symmetric functions (see, e.g., [10]).
Throughout this paper, we use the notations for the Banach space absolutely summable sequences in power and for the linear space of all finite sequences.
3. Classes of Symmetric Polynomials
Let be a family of nonzero polynomials in where is the algebra of S-symmetric polynomials for a given group S of bounded linear operators on a Banach space We say that is algebraically independent if any finite subset is algebraically independent. That is, if is a nonzero polynomial of n variables, then
In other words, any non-trivial algebraic combination of algebraically independent polynomials is nonzero. A family of nonzero polynomials is a generating set if every polynomial can be represented as an algebraic combination of a finite subset of An algebraically independent generating set is called an algebraic basis of It is easy to check that any generating set of an algebra of polynomials is an algebraic basis if and only if every polynomial in this algebra can be uniquely represented as a (finite) algebraic combination of elements in the generating set.
Let now Y be a Banach space with a (linear) symmetric countable Schauder basis and let Z be an arbitrary Banach space. Suppose that and are groups of bounded operators on Z and Y, respectively. We denote by the space of elements
such that
with
We will write, also, the vector as a formal sum
understudying that are vectors in Here, means the topological dimension, that is, the sum is finite or countable.
The following technical result is probably known.
Remark 1.
Let τ be a bounded linear operator from Y to
for some numbers If then there exists a bounded linear operator by
and
Proof.
Let
Then,
Here, we change the order of summation because the series converges unconditionally, because is a symmetric basis. Hence,
and from the assumption that all , it follows that
for Because for this it follows that On the other hand, because is an extension of we have So □
Using groups and , it is possible to construct a group of symmetries on X in different ways.
Definition 1.
A function f on X is called separately -symmetric if for every and
A function f on X is called block -symmetric if for every the operator is well defined and continuous on X and for every
We say that a function f on X is -symmetric or double symmetric if it is both separately -symmetric and block -symmetric.
Let us recall the definition of the semidirect product of two groups. For a given group G, we denote by the group of automorphisms of Let be a group homomorphism from a group H to that is, The (outer) semidirect product of G and H with respect to is the direct product endowed with the group operation
Let be the minimal group of operators on X generated by operators
Proposition 1.
- (i)
- A function f on is separately -symmetric if and only if it is -symmetric.
- (ii)
- A function f on X is -symmetric if and only if it is -symmetric, where
- (iii)
- A function f on X is block -symmetric if and only if it is -symmetric, where is a trivial subgroup of consisting of the identity map.
Proof.
Item (i) follows from the definition of separately -symmetric functions. The operator belongs to the group of automorphisms so that By the definition of -symmetric functions, f is -symmetric if and only if it is invariant with respect to the action of for all and Thus, item (ii) is proved. Finally, item (iii) is a partial case of (ii) if is the identity operator. □
Example 1.
Let and is the group of all permutations of the basis vectors In other words, every permutation σ on the set of positive integers acts as a linear operator on (which we denote by the same symbol ) by
It is well known [3,4] that polynomials
form an algebraic basis in the algebra of all -symmetric polynomials on (which are called symmetric polynomials), where is the minimal integer, which is greater than or equal to We denote by the algebra of the symmetric polynomials on
Example 2.
Let and is the group of operators on generated by the measurable automorphisms of that preserve the Lebesgue measure on That is, if is a measure-preserving measurable automorphism, then it acts as an operator on (which we denote by the same symbol ) by
According to [3,11], polynomials
form an algebraic basis in the algebra of all -symmetric polynomials on Here, is the maximal integer that is less than or equal to Hence, is finitely generated if and countably generated if Further results about symmetric and block-symmetric polynomials on can be found in [29,30,31] and the cited literature therein.
Example 3.
Let and Any element can be represented as
where for Let be the group of permutations of the basis vectors in and let be the group of permutations of the basis vectors in In [32,33], it is shown that the algebra of the block -symmetric polynomials on X admits an algebraic basis of the so-called power block-symmetric polynomials
where is a multi-index,
The algebras of block-symmetric polynomials and analytic functions on were studied, also, in [34,35].
4. Generators in Algebras of Double-Symmetric Polynomials
The following theorem generalizes a result in [36] about separately symmetric polynomials on
Theorem 1.
Let and Z be an arbitrary Banach space. Suppose that the algebra of -symmetric polynomials admits a finite or countable family of generators Then, the algebra of all separately -symmetric polynomials on has a family of generators where
If is an algebraic basis, then is an algebraic basis as well.
Proof.
If then the statement is trivial. Suppose it is true for Let P be a separately -symmetric polynomial on Then, can be considered as an -symmetric polynomial of with coefficients in the field of separately -symmetric rational functions of From the Classical Invariant Theory (see, e.g., p. 12 in [1]), it is known that polynomials form a family of generators in the algebra of -symmetric polynomials over the field That is, P can be represented in the form
where and are separately -symmetric rational functions of But on the left side of Equation (2) there is a polynomial, so on the right side must be a polynomial too. Because polynomials do not depend on and rational functions do not depend on the functions are actually polynomials, and we know that they are separately -symmetric. By the induction assumption, all polynomials can be represented by algebraic combinations of
If is an algebraic basis, then by the induction assumption, polynomials have unique representations by Suppose that
is another representation of Then,
If there is such that
is a non-trivial algebraic combination, then it contradicts the algebraic independence of Thus, for all polynomials and so (2) is a unique representation of Hence, is an algebraic basis. □
Corollary 1.
Let be as in Example 3. Then, there is an algebraic basis of separately -symmetric polynomials of the form
for
Proof.
It is enough to apply Theorem 1 to Example 3, taking into account the algebraic basis in Example 1. □
Let for some That is, any vector can be represented as where The space is a Banach space with respect to the norm
Let us define the following mapping on where
In other words, we can write
Proposition 2.
The mapping is a continuous polynomial map from to itself.
Proof.
Clearly, is a polynomial. Note that Thus, we have
From here, it follows that for every Also, the inequality shows that is bounded on bounded subsets and so it is continuous. □
Let us denote by the algebra of all block-symmetric (that is, block -symmetric) polynomials on and by the algebra of all double-symmetric (that is, -symmetric) polynomials on where and are as in Example 3. The composition operator is a homomorphism from to Indeed, if P is a block-symmetric polynomial, then
is -symmetric because is -symmetric.
Let us consider the partial case if Then, we have the mapping instead of
Thus, the composition operator is a homomorphism from to
Theorem 2.
The composition operator is an isomorphism of algebras and
Proof.
It is enough to show that is bijective. Clearly, if then that is, the composition operator is injective. Let and then Q is separately -symmetric. By Corollary 1, the double-symmetric polynomial Q can be represented us an algebraic combination of polynomials
In other words, Q is of the form for some polynomial Indeed, let
be a polynomial of variables such that
Then, for
we have that Moreover, because Q is also block -symmetric, and for every maps onto it follows that q is invariant with respect to permutations Hence, P is block -symmetric. Therefore, every is of the form for some Thus, is bijective. □
Note that every double-symmetric polynomial is block symmetric but not every block-symmetric polynomial is double symmetric. That is, is a proper subalgebra of , which is isomorphic to
Example 4.
Let Then, every element can be represented as
Every block-symmetric polynomial is invariant with respect to operator
It is known (see, e.g., [37]) that polynomials
form a minimal generating set that, however, is algebraically dependent. The isomorphism from to is defined as
Thus, the generating polynomials in can be written as
Because every polynomial in is block symmetric, polynomials can be represented as an algebraic combination of polynomials (4):
because, according to [37],
Example 5.
Let Then, every element can be represented as
Polynomials
form a minimal set of generating polynomials in Let
Thus, combining and (5), we can represent generating polynomials in as
Let us recall that a linear operator A on is a pseudoreflection if it is an invertible operator such that it is not the identity map, has a finite multiplicative order and the fixed subspace has the dimension It is well known [38,39] that the algebra of G-symmetric polynomials on for a finite group G of linear operators on has an algebraic basis and is isomorphic to the algebra of all polynomials on if and only if it is generated by pseudoreflections. Thus, for example, the generators of the algebra of block-symmetric polynomials on are algebraically dependent if both n and m are greater than The situation is different in infinite-dimensional cases. As we mentioned above, polynomials (1) form an algebraic basis in the algebra of block-symmetric polynomials on Moreover, in Corollary 7 in [32], the following result was obtained.
Theorem 3
([32]). Let be multi-indexes such that for every Then, there exists such that for every polynomials as in (1) are algebraically independent on
Theorem 4.
The composition operator is an isomorphism from the algebra of block-symmetric polynomials on to the algebra of double-symmetric polynomials on Polynomials
form an algebraic basis in
Proof.
Let us show first that polynomials are algebraically independent on It is well known (see, e.g., [8]) that the mapping
is a surjection onto Let us suppose that there is a non-trivial polynomial of a finite number of variables, such that
Because q is non-trivial and are algebraically independent on
From the continuity of polynomials , it follows that there is an open set such that
for every Because the subspace of finite sequences is dense in we can choose such that for every j that is greater than a number Let us take so that
Thus, the vector has only a finite number of nonzero coordinates and so belongs to On the other hand, Thus,
A contradiction. Hence, polynomials are algebraically independent.
We already observed that is a homomorphism. Clearly that is injective. So, we need to show that it is surjective. Let and There is a finite number of polynomials such that Thus, if Q is an algebraic combination of polynomials then Q is an algebraic combination of polynomials We denote by the restriction of Q to Suppose that m is large enough so that the restriction of to is algebraically independent. Such a number must exist by Theorem 3. Then, the restriction of to is algebraically independent as well. By Theorem 2, there exists a polynomial of r variables such that
Note that if then ; otherwise,
will be a different representation of that contradicts the algebraic independence of on Hence, the restriction of Q to the dense subspace
has the representation
By the continuity of Q, this representation is true for every Thus, is surjective. Therefore, it is an isomorphism from to , and polynomials form an algebraic basis in □
5. Algebras of Symmetric Analytic Functions and Their Spectra
Proposition 3.
The polynomial mapping is not surjective whenever
Proof.
If then is just the identity map and so it is surjective. Let We construct a vector y in , which does not belong to the range of Set
Clearly, Let us suppose that there is a vector such that Then, for every j, the coordinates must satisfy equations
It is easy to check that the set of all roots of the system can be written as
where are roots of Hence, up to permutations of coordinates for every fixed the vector u can be represented as
But , because for every and Therefore, is not surjective because y is not in the range of □
Let us denote by the closure of and by the closure of in Thus, both and are Fréchet algebras with respect to the topology of uniform converges on bounded subsets of
Theorem 5.
The mapping is a continuous homomorphism from to with a dense range.
Proof.
By using Theorem 4, the injective homomorphism is well defined on the dense subset It is well known that a composition operator with an analytic map of a bounded type is a continuous operator from to itself. Moreover, for every , the range
belongs to Thus, is a continuous homomorphism from to On the other hand, the range of contains the dense subset of □
Note that any double-symmetric analytic function is block symmetric as well. Thus, is a closed subspace of
The spectra of algebras were considered in [35]. The situation in the case is similar. In particular, for every , we can assign a character (so-called a point evaluation functional) on by
Clearly, if and only for every polynomial Also, like in the symmetric and block-symmetric cases (c.f. [8,9,35]), there are characters that are not of the form
Example 6.
Let p be a positive integer and be a sequence in
The sequence is bounded and Note that is a projective limit of Banach algebras of uniformly continuous double-symmetric analytic functions on balls in centered at the origin and of a radius In other words, is the closure of with respect to the norm
Thus, the spectrum of is the inductive limit of the spectra of , which are a compact topological space with respect to the Gelfand topology (c.f. [20]). Thus, for any bounded sequence , the sequence of characters has a cluster point in the spectrum. Let ψ be a cluster point of in the spectrum of Taking a subsequence, if necessary, we may assume that as for every Let Then,
This sequence is bounded by the continuity of the polynomial map Actually, it is easy to check that For every multi-index , we have
Because is bounded, the sequence has a cluster point and
If there is a point such that then for But, according to [35], such a point y does not exist. Thus, ψ is not a point evaluation functional.
6. Discussion and Conclusions
We considered the analytic functions on a Banach space X that are symmetric with respect to a semidirect product of groups of operators on X. The main examples are algebras of polynomials and analytic functions on such that every function is invariant with respect to the permutation of indexes and for every fixed j, it is invariant with respect to the permutations of indexes We proved that the algebra of polynomials is isomorphic to the algebra of block-symmetric polynomials for which we do not assume the invariance with respect to the permutations of indexes This result may be considered as an infinite-dimensional generalization of the fact that the map
is an isomorphism between the algebra of all polynomials on and symmetric polynomials on However, we can not extend the isomorphism of algebras and to their completions and Moreover, the fact that is not surjective suggests to us that we start to look for a counterexample.
Further investigations can be continued in different directions. First, we can try to replace with Note that even for the case , we know almost nothing about block-symmetric and double-symmetric polynomials. Another direction is the spectrum of In this paper, we observed that the spectrum contains characters that are not point evaluation functionals. But the set of point evaluation functionals is interesting itself, because it may admit non-trivial algebraic structures (see, e.g., [40]). Note that in [40], using symmetric polynomials on some applications in Cryptography were proposed. In [41], possible applications of symmetric and block-symmetric polynomials on in neural networks and blockchain technologies were considered. Our further investigation will be devoted to a generalization of this approach for the cases of block-symmetric and double-symmetric polynomials on
Author Contributions
Conceptualization, A.Z.; investigation, N.B.; writing—original draft preparation, N.B.; writing—review and editing, A.Z.; project administration, A.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the National Research Foundation of Ukraine, 2020.02/0025.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflict of interest.
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