1. Introduction
The concept of symmetric polynomials on a finite-dimensional linear space was very successful in mathematics and important for the development of algebraic geometry, invariant theory and combinatorics (see e.g., [
1]). This concept admits a natural generalization for the infinite-dimensional space of eventually finite sequences
Symmetric polynomials on
for
were considered first in [
2,
3]. In particular, it was observed that polynomials
form an algebraic basis in the algebra of symmetric polynomials on
Here
is the ceiling of
and the Banach space
consists of the vectors
such that
In other words, for every symmetric polynomial
P of degree
n on
there is a unique polynomial
of
variables such that
Algebras of symmetric analytic functions on
were considered in many works (see, e.g., [
4,
5,
6,
7,
8] and references therein). Some other generalizations of symmetric polynomials and analytic functions for the various cases of Banach spaces and (semi)groups of symmetry can be found in [
9,
10,
11,
12,
13,
14,
15]. Algebras of subsymmetric polynomials and their generators were investigated in [
16,
17,
18,
19].
Let
X be a complex sequence space
or
for
A function
F on
X is
subsymmetric if it is invariant with respect to the following operators
on
X:
That is,
for every
Clearly, the operators
are continuous on
It is known [
19] that the following (so-called
standard) subsymmetric polynomials
form a linear basis in the linear space of subsymmetric polynomials on
In particular, any
m-homogeneous subsymmetric polynomial can be uniquely represented as a finite linear combination of the standard subsymmetric polynomials
such that
We denote by
the minimal semigroup generated by operators
and by
the algebra of all subsymmetric polynomials on
In this paper, we consider properties of subsymmetric polynomials on finite- and infinite-dimensional spaces, the problem of the existence of an algebraic basis in the algebra of subsymmetric polynomials, extensions of subsymmetric polynomials and analytic functions to larger spaces, algebras of subsymmetric analytic functions of bounded type and their spectra, linear subspaces in zero-sets of subsymmetric polynomials, and subspaces where a subsymmetric polynomial is symmetric. In addition, we consider some possible applications of subsymmetric polynomials in cryptography and in operator theory. Algebras of all analytic functions of bounded type on Banach spaces were investigated in [
20,
21,
22,
23,
24]. Linear subspaces in zero sets of polynomials on complex Banach spaces and related questions were studied in [
25,
26,
27,
28,
29,
30,
31].
It is well-known [
32] that there is no Hahn–Banach theorem for polynomials in the general case. In [
9], the problem of the existence of a symmetry-preserving extension of symmetric polynomials on a Banach space was considered. In this paper, we investigate extensions of subsymmetric polynomials and find some general conditions when the operator of extension is a homomorphism of corresponding algebras. Using this approach, we obtain some advances for the description of the spectrum of algebras of subsymmetric functions on
These results generalise results in [
6,
7,
20] for the case of subsymmetric functions.
It is known [
19] that for a large class of spaces
in particular for
for every polynomial
Q on
X there is
and an infinite-dimensional subspace
and a subsymmetric polynomial
P on
such that
for every
This fact gives some kind of approximation of polynomials by subsymmetric polynomials. In the paper, we considered linear subspaces of subsymmetric polynomials and some subspaces
V such that the restriction of a subsymmetric polynomial to
V is symmetric with respect to a linear basis.
Let
be an algebra of polynomials. Let us recall that a finite or infinite sequence
of nonzero polynomials is
algebraically dependent if there is a number
m and a nontrivial polynomial of
m variables
such that
If the sequence
is not algebraically dependent, then it is
algebraically independent. An algebraically independent sequence
is an
algebraic basis in
if every polynomial in
can be represented as an algebraic combination of polynomials
Note that an algebraic basis does not always exist even if
is a subalgebra of polynomials on a finite-dimensional space. In this case, for any sequence of generators of
, there are algebraic dependencies. The problem of the existence of an algebraic basis in the algebra of subsymmetric polynomials was investigated in [
16,
17,
18,
20]. Unfortunately, this problem is still open, and we propose solutions for some partial cases.
In
Section 2, we investigate subsymmetric polynomials on finite-dimensional complex spaces
and show that the algebra of all subsymmetric polynomials on
has no algebraic basis. Also, we propose a general method of calculating algebraic dependencies between symmetric polynomials and a nonsymmetric polynomial. In
Section 3, we consider algebraic properties of subsymmetric polynomials on the linear space
of eventually zero sequences. We described some algebraically independent sequences of subsymmetric polynomials which, however, do not form algebraic bases. Also, we proved that two points,
x an
y in
are equivalent up to actions of operators
if and only if
for every subsymmetric
Moreover, it is enough to check this equality for polynomials
P of some special form.
Section 4 is devoted to the extension of the obtained results to continuous subsymmetric polynomials on some Banach spaces containing
In particular in
Section 4.1 we consider subsymmetric polynomials on
In
Section 4.2, we observed that there exists a natural extending topological homomorphism from the algebra of subsymmetric polynomials on
to the algebra of subsymmetric polynomials on
for any well-ordered set
This approach is useful for the investigation of algebras of subsymmetric analytic functions of bounded type and their spectra, which we considered in
Section 5. In
Section 6, we constructed some subspaces of
where subsymmetric polynomials are symmetric with respect to some bases. Also, we considered linear subspaces in zero sets of some subsymmetric polynomials.
Section 7 is devoted to some possible applications of the obtained results. In
Section 7.1, we propose subsymmetric polynomials for the construction of hash functions that may be of interest in cryptography. In
Section 7.2, using subsymmetric polynomials on eigenvalues of a
p-trace operator
we show that
A is completely defined by traces of
and
We refer the reader for the general theory of polynomial and analytic mappings on Banach spaces to books [
33,
34].
2. Subsymmetric Polynomials on
In this section, we prove that there is no algebraic basis in the algebra of subsymmetric polynomials on a finite-dimensional space.
Subsymmetric polynomials were introduced using operators that are well-defined on an infinite-dimensional vector space. Let be the restriction of to the M-dimensional subspace of X spanned to We say that a polynomial P on is subsymmetric if it is a linear combination of polynomials
It is well-known in algebraic geometry that every family of nonconstant polynomials is algebraically dependent on From here it follows, in particular, that if some algebra of polynomials on is generated by all symmetric polynomials and a single nonsymmetric polynomial, then it has no algebraic basis because such an algebra must have at least generators that cannot be algebraically independent. The following example delivers an algebraic dependence between a basis of symmetric polynomials and a subsymmetric polynomial on
Example 1. LetThen, by direct calculations we can check that Note that in [
6] it is proved that polynomials
and
are algebraically independent on
However, the question about the existence of an algebraic basis in the algebra of all subsymmetric polynomials on
or
is still open.
Now we consider how to find explicitly an algebraic dependence of a non-symmetric polynomial on symmetric polynomials defined on
Let
We denote by
the orbit of
P under permutations of the basis vectors:
and by
the cardinality of
Here
is the group of permutations of
Clearly,
and if
then
P is symmetric.
Theorem 1. For a given polynomial P on there is a polynomial of a complex variable tof degree where coefficients are symmetric polynomials on such that for every In particular, Proof. Let
and
We denote by
the elementary symmetric functions of
Since for every
the mapping
is a bijection,
and so
is symmetric for every
By the Vieta Theorem (see e.g., [
35], pp. 29–30), for every
the numbers
are zeros of
in particular,
□
From the proof of Theorem 1 it follows that if
P is a nonsymmetric polynomial on
then in order to construct the polynomial
we have to find the orbit
and define
as elementary symmetric polynomials of
Then
is an algebraic dependence between symmetric polynomials and
In particular, identity (
2) can be obtained by this way.
Each polynomial on the 1-dimensional space
is trivially symmetric (and so subsymmetric). If
then
and
form a linear basis in the linear space of subsymmetric polynomials of degree no greater than
Thus, each 1-degree and 2-degree subsymmetric polynomial is symmetric. But we have some nonsymmetric 3-degree polynomials. Even if
is a nontrivial subsymmetric polynomial that cannot be generated by symmetric polynomials. Thus, any system of generators of the algebra of subsymmetric polynomials on
must have at least 3 elements, and they are always algebraically dependent. In the general case, it is easy to check that the symmetric polynomial
cannot be represented by subsymmetric polynomials of degree less than
k (see [
18]) and so any system of generators of the algebra of subsymmetric polynomials on
must have at least one generator of each degree
But as we observed, for 3-degree polynomials we need to have one generator more. Thus, the total number of generators is not less than
As we mentioned above,
polynomials on
are algebraically dependent. Hence, we have the following proposition.
Proposition 1. For every the algebra of subsymmetric polynomials on has no algebraic basis.
3. Subsymmetric Polynomials on
In this section we consider basic algebraic properties of subsymmetric polynomials on the linear space of finite sequences
Note that Theorem 1 cannot be extended to the infinite-dimensional case because the algebra of symmetric polynomials of infinite many variables is factorial (see e.g., [
36]), that is, if a symmetric polynomial
P can be represented as a product of two polynomials,
then both
and
must be symmetric. We denote by
the algebra of symmetric polynomials on
and by
the algebra of subsymmetric polynomials on
Proposition 2. Letbe a polynomial with coefficients If P is a polynomial on such that for every then Proof. The identity
implies that
for every
and permutation
where
Let
be
m different elements in
Then for every
numbers
are roots of
By the Vieta theorem,
Since each
is symmetric and
for every
the polynomial
is symmetric while
are not. This is a contradiction. Thus, the number of different elements in
is less than
Let
has
r different elements. If
then
must be symmetric while the multipliers
are not, and again we have a contradiction. Thus,
and so
□
From the straightforward computations we can see that
Proposition 3. For every standard subsymmetric polynomial on the polynomialis symmetric. Here is the group of permutations of the set Proof. It is enough to check that
is invariant with respect to any operator of transposition
Let us consider the set of terms of
containing coordinates
and
where
are mutually different. From the definition of
it follows that coordinates
and
may take any places
s and
r so that
Clearly, this set is invariant with respect the interchanging of
and
and the sum of its elements is invariant as well. Thus,
is invariant with respect to every
and so is symmetric. □
Example 2. From (
3)
it follows that and sois the representation of by the power symmetric polynomials. From Proposition 3 it follows that if a polynomial is symmetric with respect to the permutation of the indexes in its representation as a linear combination of the standard polynomials then P is symmetric. However, for an algebraic combination it is not so. For example, polynomial is invariant with respect to the permutation but not symmetric because a symmetric polynomial cannot be a product of two nonsymmetric polynomials. By the same reasoning, is not symmetric.
For every
we denote by
where
is the last nonzero coordinate of
Also, if
then we denote
and
Formally, the definitions of
and
are dependent on the
m that bounds the number of nonzero coordinates of
But it is easy to check that for every
and
The right-hand-side parts of (
5) and (
6) do not depend on
m and can be used to extend these definitions for more general spaces (see
Section 4).
Let us consider some useful identities. From direct computations (see e.g., [
18]) it is possible to check that
Also, obviously
For a given polynomial
we denote by
as the polynomial in
such that
for every
Clearly, the map
is linear and multiplicative. For example, the multiplicativity follows from the computations
From (
8) we have that
Thus the map
is a homomorphism from
to itself. Moreover, this map is an involution because
for every
Proposition 4. For every pair the polynomialis symmetric and Proof. From (
7) we have
From Proposition 3 it follows that
is symmetric and from (
4) we have
□
Note that for every
we have
Let us introduce two types of equivalences on We say that x and y in are equivalent with respect to the actions of notation if there are and in such that Similarly, we say that x and y are equivalent with respect to the semigroup S of all permutations (that is, injective mappings) of acting on as notation if there are and in S such that We denote by the quotient set and by the quotient set It is known that can be identified with the set of all finite multisets (that is, unordered tuples with possible repetitions) of nonzero complex numbers. Moreover, if and only if for every symmetric polynomial Since form an algebraic basis in it is enough to check the equality for every Finally, if we know that both x and y have only m nonzero coordinates each, then it is enough to check for We denote by the equivalence class containing x and by the equivalence class in containing Clearly if and only if after removing all zero coordinates in x and y we have that and are equal as vectors.
Note that the operation “⊲” can be lifted to
by
while “•” cannot. Indeed, let
Then
, but
However, the unary operation
can be lifted to the equivalence classes by
The restriction of “⊲” to the subalgebra of symmetric polynomials coincides with “•”, and “•” can be lifted to
Theorem 2. The equivalence holds for some vectors if and only if for every subsymmetric polynomial Moreover, it is enough to check the equality of subsymmetric polynomials of the form and More explicitly, if x and y have no more than m nonzero coordinates, then we can check the equalities for all and for
Proof. Clearly, if
then
for every subsymmetric polynomial
by the definition of subsymmetric polynomials. Suppose that
for every subsymmetric polynomial
In particular,
for every symmetric polynomial
It is well-known that in this case the multiset
of non-zero coordinates of
x coincides with the multiset of non-zero coordinates of
To make sure that
we need check that after removing zero coordinates,
as vectors. Consider the following multisets
We claim that if
then
Indeed, if
then there are
such that
and a bijection
such that
and
Then the symmetric difference
is nonempty, because it contains, at least, elements
and
Here
and the set-theoretical substraction “∖” takes into account the multiplicity of each element. Hence, we have two different multisets
and
of length
As we mentioned above, there exists a symmetric polynomial
P of
N variables such that
Equivalently, there is
such that
that is,
This is a contradiction. Thus
and so
□
Let us denote by the subalgebra of generated by polynomials for Clearly, is the algebra of symmetric polynomials and it is not equal to Let From Proposition 4 it follows that the restriction of to is a homomorphism from to
The following example shows that is a proper subalgebra in
Example 3. Let be positive integers. We claim that Indeed,Polynomial is not symmetric because, for example,andBut, if then by Proposition 4, must be symmetric. The following theorem delivers some nontrivial sequences of algebraically independent subsymmetric polynomials.
Theorem 3. Let be a sequence of subsymmetric polynomials. If there exists an algebra homomorphism such that the sequence is algebraically independent, then polynomials are algebraically independent as well.
Proof. If
are not algebraically independent, then for some
there is a nontrivial polynomial of several variables
such that
Since
is a homomorphism,
But it contradicts the algebraic independence of polynomials
□
Let
and for
Corollary 1. - (i)
Polynomials are algebraically independent in
- (ii)
Polynomials are algebraically independent in Here
Proof. (i). Let
According to Proposition 4,
where
N is the number of pairs
such that
and
It is easy to check that
For every fixed
relations (
9) give a polynomial automorphism
Since
are algebraically independent for every
the same is true for
By Theorem 3, polynomials
are algebraically independent.
The item (ii) can be proved by the same way taking into account that
□
Note that both sequences and of algebraically independent subsymmetric polynomials in Corollary 1 do not contain symmetric polynomials, excepting and If we set if n is odd and if n is even, we can show using Theorem 3 for that polynomials are algebraically independent. But we do not know the following: Is there an algebraically independent sequence of subsymmetric polynomials containing polynomials for all and an infinite subsequence of nonsymmetric polynomials?
6. Zeros of Subsymmetric Polynomials and Subspaces of Symmetry
Let
P be an
n-homogeneous polynomial on a complex infinite-dimensional linear space. According to known result in [
25], for every
there is an infinite-dimensional subspace in
containing
Actually, the main idea of the proof of the result in [
25] can be formulated as the following proposition.
Proposition 14. Let X be an infinite dimensional complex linear space and P be an n-homogeneous -valued polynomial. For every there exists an infinite linearly independent sequence such that for every and belongs to the linear span of The diagonal representation (
15) suggests that a restriction of
P to a subspace is symmetric with respect to an appropriate basis, i.e.,
However, in the general case, the values
can be nonzero only for a finite number of vectors and so we cannot claim that any polynomial on
X is symmetric with respect to a basis on an infinite-dimensional subspace. In this section, we consider zeros of subsymmetric polynomials and a linear subspace
V for a given subsymmetric polynomial
P such the restriction of
P to
V is a nontrivial symmetric polynomial in some basis.
For a given natural number
N we define by
the following homomorphism of
where
; we understand the principal value of the
root of
Proposition 15. Let be an M-homogeneous standard polynomial in Then is a homogeneous polynomial, or If then
Proof. According to (
7) we have
Thus,
if
If
then
Hence, for this case,
is an algebraic combination of polynomials in
□
Note that if then
Corollary 4. Let P be a homogeneous subsymmetric polynomial on Then there is a finite sequence of natural numbers such thatwhere “∘” is the composition of mappings. Proof. Suppose that
and
for some
Then
P is a finite algebraic combination of standard polynomials
in
Some of them, say
, are in
Let
and so on. Then, by Proposition 15,
and either
or
If
then we can apply this process to
Since,
after a finite number
m of steps, we will have
□
Let us recall that a linearly independent sequence
in a Banach space
X is a Schauder basis of
X (see [
40] for detailed) if every
has a unique representation
for some numbers
such that
Theorem 8. - (i)
For every subsymmetric homogeneous polynomial P on and a natural number d, there is a d-dimensional subspace in and a linear basis in such that P is symmetric on with respect to the basis.
- (ii)
For every subsymmetric homogeneous polynomial P on there exists a well-ordered set an infinite-dimensional subspace V in and a Schauder basis in V such that is symmetric on V with respect to the basis.
Proof. (i) For given
d and
we consider the following subspace
The space
is a
d-dimensional subspace in
with basis
If
then
For another number
we can construct a space
such that for every
Indeed, let
consist of the vectors of the form
Then,
Clearly,
is a
d-dimensional subspace and
is a basis. By continuing this process, we can construct for a given finite sequence
such that for every
there exists a
d-dimensional subspace
with a basis
such that
From here, in particular, it follows that the restriction of
P to
is subsymmetric with respect to the basis
Let us take the sequence
as in Corollary 4. Then for some
the polynomial
is in
while
is not. Thus, the space
and its basis
are such that the restriction of
P to
is symmetric with respect to
(ii) As we observed above, the functional
is not a point evaluation but it can be interpreted as a point evaluation functional on
for some appropriate
Let
be the following well-ordered set
where each
is a copy of
with the natural order, that is,
if and only if
If
and
then
if and only if
Let
be the standard basis in
that is,
Every vector
can be represented as
for some complex numbers
such that
For a given
we consider the following subspace
of
where
goes over
We can see that
Also, it is easy to check that vectors
form a Schauder basis in
Suppose that for given natural numbers
, we already constructed a subspace
of the form
for some finite number
r and a Schauder basis
in
such that
Then the space
is defined as
and the basis
as
Taking the sequence
as in Corollary 4, we have that for some
the polynomial
is symmetric with respect to the basis
Thus, the space
□
Let us show that there are some finitely dimensional subspaces such that the restriction of any subsymmetric polynomial of some special form to these subspaces are symmetric with respect to some basis.
Proposition 16. For a number there is a d-dimensional subspace in such that every polynomial is nontrivial and symmetric on with respect to a basis.
Proof. Indeed, we know that
is a nontrivial symmetric polynomial. Thus, restriction of
to the
d-dimensional subspace spanned on the vectors
is symmetric with respect to
□
Proposition 17. For a number there is a d-dimensional subspace in such that every polynomial of the form vanishes on
Proof. It is easy to check that for every Thus each vanishes on the subspace as in Proposition 16. □
Let us recall that a polynomial map
is
proper if for every compact subset
the preimage
is compact in
It is known (see, e.g., [
41], Chapter 15) that a proper map is always surjective and open. Moreover, in [
42], it is shown that if
are homogeneous polynomials, then
is proper if and only if
Note that the surjectivity of a proper map implies that polynomials
are algebraically independent. Note that according to Proposition 12, polynomials
on
are algebraically independent but the restriction of
to any
M-dimensional subspace spanned on the basis vectors
generates an improper map
from
to
because each
vanishes on the
d-dimensional subspace
as in Proposition 17.
8. Conclusions
In the paper, we establish algebraic properties of subsymmetric polynomials on and and describe some nontrivial sequences of algebraically independent subsymmetric polynomials. However, the problem of the existence of an algebraic basis in the algebra of subsymmetric polynomials of an infinite number of variables remains open. We proved that an ordered multiset is completely determined by evaluations and used this fact to propose some applications to cryptography and operator theory. We considered, probably, the most general case when we can extend subsymmetric polynomials to subsymmetric polynomials on a larger space such that the operator of extension is a continuous homomorphism of algebras. We applied these results to the algebra of subsymmetric analytic functions of bounded type and constructed some nontrivial characters of this algebra. In the paper, we introduced a subsymmetric translation operator on and extended it to a convolution on the set of characters of this algebra. Additionally, using a constructed homomorphism, we considered certain subspaces of sets of zeros of subsymmetric polynomials and subspaces where a subsymmetric polynomial is symmetric with respect to a basis.
We proposed some applications of the obtained results to cryptography and operator theory. In particular, we constructed a collision-free hash function based on subsymmetric polynomials.
Further investigations will focus on the problem of the existence of an algebraic basis in the algebra of all subsymmetric polynomials and on the description of the spectrum of
as it was done in [
7] for the algebra
In addition, it would be interesting to consider an inner product on
and its corresponding Hilbert space—the completion of
with respect to the inner product norm. These kinds of Hilbert spaces in the case of symmetric polynomials were considered in [
54].