The quintic complex moment problem
Hamza El Azhar, Ayoub Harrat, Kaissar Idrissi, El Hassan Zerouali

TL;DR
This paper provides a concrete solution to the quintic (degree 5) truncated complex moment problem, extending the known solutions for degrees up to 4, and explores the minimal measure cardinality using recurrence properties.
Contribution
It offers a new solution for the degree 5 case of the truncated complex moment problem and analyzes the minimal measure's cardinality, building on recurrence sequence properties.
Findings
Solved the quintic (degree 5) truncated complex moment problem.
Analyzed the minimal representing measure's cardinality.
Extended methods applicable to all odd-degree moment problems.
Abstract
Let be a given complex-valued sequence. The truncated complex moment problem (TCMP in short) involves determining necessary and sufficient conditions for the existence of a positive Borel measure on (called a representing measure for ) such that for . The TCMP has been completely solved only when . We provide in this paper a concrete solution to the quintic TCMP (that is, when ). We also study the cardinality of the minimal representing measure. Based on the bivariate recurrences sequences's properties with some Curto-Fialkow's results, our method intended to be useful for all odd-degree moment problems.
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The quintic complex moment problem
H. El-Azhar
Mohammed V University in Rabat.
Rabat
Morocco
,
A. Harrat
Mohammed V University in Rabat.
Rabat
Morocco
,
K. Idrissi
Mohammed V University in Rabat.
Rabat
Morocco
and
E. H. Zerouali
Mohammed V University in Rabat.
Rabat
Morocco
Abstract.
Let be a given complex-valued sequence. The truncated complex moment problem (TCMP in short) involves determining necessary and sufficient conditions for the existence of a positive Borel measure on (called a representing measure for ) such that for . The TCMP has been completely solved only when .
We provide in this paper a concrete solution to the quintic TCMP (that is, when ). We also study the cardinality of the minimal representing measure. Based on the bivariate recurrences sequences’s properties with some Curto-Fialkow’s results, our method intended to be useful for all odd-degree moment problems.
Key words and phrases:
Quintic complex moment problem, minimal representing measure, complex-valued bi-sequence.
2010 Mathematics Subject Classification:
Primary 47A57, 15A83; Secondary 30E05, 44A60
1. Introduction
Given a doubly indexed finite sequence of complex numbers
[TABLE]
with and for . The truncated complex moment problem (in short, TCMP) associated with entails finding a positive Borel measure supported in the complex plane such that
[TABLE]
A sequence satisfying (1.1) will be called a truncated moment sequence and the solution is said to be a representing measure associated to the sequence .
In [34] J. Stochel has shown that solving TCMP solves the widely studied Full Moment Problem (see, for example, [1, 2, 3, 17, 29, 30, 33, 36]). More precisely, a full moment sequence admits a representing measure if and only if each of its truncation admits a representing measure.
The truncated complex moment problem serves as a prototype for several other moment problems to which it is closely related. Its application can be found in subnormal operator theory [31, 24, 35], polynomial hyponormality [12] and joint hyponormality [4, 5]. It is also related to the optimization theory [26, 25, 27, 28, 29] and arise in pure and applied mathematics and in the sciences in general.
For the even case , Curto and Fialkow developed in a series of papers an approach for TCMP based on positivity and flat extensions of the moment matrix, see Section 2. This allowed them to find solutions for various particular cases of truncated moment problems (see, for instance, [6, 8, 7, 10, 11, 21, 20]). However, only the cases and are completely solved (cf. [6, 9, 19, 14]).
In the odd case , a general solution to some partial cases of the TCMP can be found in [22] and [23] as well as a solution to the truncated matrix moment problem; a solution to the cubic complex moment problem (when m = 3) was given in [23], see also [16]. The solution is based on commutativity conditions of matrices determined by .
Therefore, only the cases and (the quadratic, the cubic and the quartic moment problem) have been completely achieved. All the other cases (quintic, sixtic, …) are open and interest several authors; as indicated in many recent papers (see, for instance, [13, 15, 16, 37, 38]).
In this paper, we provide a concrete solution to the, almost all, quintic moment problem (i.e. ) when one desires a minimal representing measure. To this aim, we investigate the structure of recursive complex-valued bi-indexed sequences and we combine the obtained observations with some results due to R.Curto and L. Fialkow, to provide a new technique for solving the odd-degree TCMP. We notice that our techniques furnish a short solution to the cubic moment problem (we omit the proof because the cubic moment problem is already solved, see [16, 23]) and expected to be useful for higher odd-degree truncated moment problems.
Let be a given complex valued bi-sequence. We associate with the next two matrices that will play a crucial role in our approach.
[TABLE]
Let us recall that thanks to Douglas factorization theorem, we have if, and only if, there exists a matrix such that . We will show, in Section 2, that the Hermitian matrix is symmetric with respect to the second diagonal, then one can set
[TABLE]
As we will see in the sequel, the entries and in the matrix encodes the complete information on the cardinal of the support of the minimal representing measure.
Theorem 1.1**.**
*Let be a given finite sequence, such that
, and or .
Then the quintic moment problem, associated with , admits a solution . Moreover, The smallest cardinality of is
- •
* and ,*
- •
,
- •
;
where and the numbers and are given by (1.3).
Since (as we will show in Section 2) and are two necessary conditions for the quintic TCMP, associated with , then Theorem 1.1 provides a concrete solution to the quintic complex moment problem, exept for the case or . The difficulty that we encountered in solving the remaining case ( or ) is technical, not a failure in the method, see Section 5.
This paper is organized as follows. In Section 2, we will give useful tools and results usually used in the treatment of the truncated complex moment problems. We will investigate in Section 3 the complex-valued recursive bi-sequences and we will exhibit important results for quintic TCMP in Section 4. Finally, in Section 5, we solve the quintic complex moment problem together with the minimal support problem.
2. Preliminaries
First, we recall a fundamental necessary condition. To this end, let us assume that is a given moment sequence and let be the associated representing measure, then, for every ,
[TABLE]
or, equivalently, the moment matrix , defined below, is semi-definite positive.
[TABLE]
where
[TABLE]
Considering the lexicographic order,
[TABLE]
to denote rows and columns of the moment matrix . For example, The matrix is
[TABLE]
Observe in passing that each block has a Toeplitz form. That is each of its diagonals contains constant entries. On the other hand, it is easy to see that the matrix detects the positivity of the Riesz functional given by
[TABLE]
on the cone generated by the collection , where is the vector space of polynomials in two variables with complex coefficients and total degree less than or equal to .
It is an immediate observation that the rows , columns entry of the matrix is equal to . For reason of simplicity, we identify a polynomial with its coefficient vector with respect to the basis of monomials of in degree-lexicographic order. Clearly, acts on these coefficient vectors as follows:
[TABLE]
A theorem of Smul’jan [32] shows that a block matrix
[TABLE]
if and only if
[TABLE]
Since , we obtain is independent of provided that . Moreover, for some such that . Conversely, if , any extension satisfying (if this condition is satisfied, we will say that is a flat extension of ) is necessarily positive. Notice also that from the expression
[TABLE]
where and denote the unit matrices, we deduce that
[TABLE]
By Smul’jan’s theorem, admits a (necessarily positive) flat extension
[TABLE]
in the form of a moment matrix if and only if
for some , 2.
is a Toeplitz matrix.
We have the next result due to Curto and Fialkow,
Theorem 2.1**.**
[6, Theorem 5.13]** The finite sequence has a -atomic representing measure if and only if and admits a flat extension . That is, can be extended to a positive moment matrix satisfying .
An important step in our approach is to show that the Hermitian matrix is persymmetric, that is, it is symmetric across its lower-left to upper-right diagonal. For this purpose, we introduce first some additional notation.
We denote the successive columns of and (given as in Expression (2.7)) by and , respectively.
Let us consider the -matrix built as follows,
[TABLE]
where with is the Kronecker symbol given by for and zero otherwise. For example
[TABLE]
Lemma 2.2**.**
Let , and () be as above, then
- (1)
. 2. (2)
. 3. (3)
** 4. (4)
.
Proof.
The assertions (1), (2) and (3) are obvious. Only the third assertion requires a proof. To this aim, we recall that , see (2.1). Therefore
[TABLE]
∎
Proposition 2.3**.**
Let be a given integer and let and be as above, then is a Hermitian Persymmetric matrix.
Proof.
Setting , then we have
[TABLE]
By multiplying left both sides of the fourth equation in Lemma 2.2 by we obtain
[TABLE]
and hence, by applying Lemma 2.2-(1), we have
[TABLE]
It follows, from (2.8) and (2.10), that
[TABLE]
The fact that is self-adjoint allows to write
[TABLE]
By using the assertions (3) and (4), in Lemma 2.2, we deduce that:
[TABLE]
Therefore, (2.12) implies that
[TABLE]
This concludes the proof of the Proposition 2.3. ∎
3. Complex-valued recursive bi-sequences
Let , with and , be a given complex-valued sequence and let be in , the vector space of polynomials in two variables with complex coefficients and total degree less than or equal to (we assume that ). The sequence is said to be recursive, associated with a generating polynomial , if
[TABLE]
or, equivalently, if
[TABLE]
We notice that, because of the equality , Equation (3.2) is equivalent to the following one:
[TABLE]
for all integers and , with ,
Therefore, (where ) is, also, a generating polynomial, associated with ; that is,
[TABLE]
The following proposition provides a connection, via , between the polynomials and .
Proposition 3.1**.**
Let be a recursive bi-sequence and let be an associated generating polynomial, then
[TABLE]
Proof.
For all integers and , with , we have
[TABLE]
∎
It is well known that the (classical singly indexed recursive sequence can be defined by the initial data and the, associated recurrence relation (or, characteristic polynomial), see [18]. In a similar way, one can define recursive bi-sequences as observed below.
Remark 3.2*.*
A generating polynomial (or, equivalently, ), with , together with the initial data and the equality , are said to define the sequence .
For a generating polynomial , with , we need (all) the data and the equality to define the recursive bi-sequence .
In the next lemmas, we provide useful results for solving the quintic moment problem.
Lemma 3.3**.**
Let , with , be a truncated bi-sequence and let (where and ) be an associated generating polynomial. Assume that (where , and ) is a generating polynomial for , then is a generating polynomial for .
Proof.
We have is a generating polynomial for , that is,
[TABLE]
As showing in (3.4), the last equality (3.7) is equivalent to
[TABLE]
where .
Also, the polynomial is a generating one for ; that is, for all and :
[TABLE]
or, equivalently, for and ;
[TABLE]
where , see (3.4).
We have to show that (3.7) remains valid for all integers and , with . To this end we consider the recursive bi-sequence defined by
[TABLE]
and we will show that . Notice that since is a generating polynomial for , then is an other one. Thus
[TABLE]
It follows from (3.7) and (3.9) that, for , and :
[TABLE]
Remark that if then .
Therefore, we need to show (3.11), only, for the integers and with .
[TABLE]
[TABLE]
Thus, the equality (3.11) is valid for every integer and with . In other words,
[TABLE]
And thus one can generalize the relation (3.7) as follows
[TABLE]
Now, let us show (3.11) in the remaining cases ().
[TABLE]
[TABLE]
[TABLE]
Before continue the proof, of these lemma, let us remark that the Relation 3.14 implies that, for all ,
[TABLE]
and thus
[TABLE]
Now,
[TABLE]
[TABLE]
This finishes the proof of Lemma 3.3. ∎
4. Solving the quintic moment problem
Let be a given complex-valued bi-sequence, with and for . The quintic moment problem involves determining necessary and sufficient conditions for the existence of a positive Borel measure on (called a representing measure for ) such that
[TABLE]
In this section we will show that in almost all cases the classical necessary conditions and , for some , (with and are as in (2.7)) guarantee the existence of at most -atomic (here ) representing measure for .
According to Proposition 2.3, the Hermitian -matrix is symmetric with respect to the second diagonal, then one can set
[TABLE]
The next Theorem gives a concrete solution to the quintic complex moment problem, except for the case and .
Theorem 4.1**.**
Let be a given sequence, we assume that and , and or
Then the quintic moment problem, associated with , admits a solution . Moreover, The smallest cardinality of is
- •
* and ,*
- •
,
- •
;
where and are as in (4.1).
Before we develop the proof of our theorem, let us introduce some notations. For ; let be a truncated complex bi-sequence and let be the associated moment matrix. As before, we denote by and the -matrix and the -matrix, respectively, such that
[TABLE]
Let (where ) be a basis for the column space of . Let us remark that the -matrix , where , the restriction of the moment matrix to the basis , is invertible.
Proof of Theorem 4.1. The main idea is to extend the initial data to an even-degree (by adding the sixtic moments , , and ) such that the associated moment matrix , for an appropriate choice of the missing moments, is either a flat extension of or admits admits a flat extension . Thus Theorem 2.1 yields that has a representing measure; and as a consequence, also admits a representing measure . It is also proved that the smallest cardinality of will be or or .
By virtue of the Smul’jan’s Theorem, we need to find a Toeplitz square matrix , built with the new, sixtic, moments as entries and such that . Setting
[TABLE]
we will distinguish two cases:
**Case I: and . ** In this case the matrix is a Toeplitz one, then it suffice to consider that . According to (2.6), the matrix is a flat extension of and thus (and in force ) has a -representing measure.
Case II: . We proceed in two steps for this case. obviously, the matrix is not a Toeplitz one. Therefore, for every choice of a Toeplitz -matrix , we have . We will show, in first step, that the smallest possible of will be either or . In the second step, we will show that the moment matrix , obtained by extending with the entries of some suitable , has a flat extension and thus admits a -atomic representing measure, see Theorem 2.1.
Step 1: (construction of ). Firstly, let us observe that
[TABLE]
if and only if we have
[TABLE]
Remark that the equalities provide the compatibility of the two equalities in and vice versa.
The condition means that is in the intersection of the two next circles , of radius and centered at , and .
It is an easy geometrical observation to see that, the two circles and have a nonempty intersection if, and only if, there exists , such that
[TABLE]
As is decreasing (on ), and Then (4.6) is verified if and only if and or or and .
Subcase II-1: or and . It suffices to choose verifying (4.6), and thus exists (as the point intersection of the two circles and ). Furthermore , from and we derive that
[TABLE]
The equality gives the moment and supplies , and this complete the construction of a Toeplitz matrix for which . Note that, . Hence, in , the columns and are a linear combination of the columns . In particular, we can set
[TABLE]
with
[TABLE]
Subcase II-2: and . Then for every -Toeplitz matrix . Let us choose the sixtic moments as follows
[TABLE]
Let us remark that as the first subcase II-1, we have
[TABLE]
The moment defined in (4.10) construct a Toeplitz matrix for which . Indeed, it suffices to observe that
- •
,
- •
- •
the columns and are nonlinear (because can not be verified).
Therefore, in , the columns is a linear combination of the columns . For reason of simplicity, we adopt the notation of the Relation (4.8), that is,
[TABLE]
Where
[TABLE]
by using (4.11).
We conclude that, in the both cases II-1 and II-2, we have extended the initial data to so that the associated moment matrix has the following columns relation
[TABLE]
We also note that since we get,
[TABLE]
Step 2: ( has a flat extension, and thus a representing measure). We will build moments for which the moment matrix is a flat extension of .
The relation (4.13) yields that
[TABLE]
By applying (2.4), one obtain
[TABLE]
Since , we derive that there exists a complex number such that
[TABLE]
that is,
[TABLE]
It follows, from (4.16) and (4.15), that is a generating polynomial of .
Since \bigl{(}\begin{smallmatrix}M(2)_{\mid\mathfrak{B}(2)}&Z^{3}_{\mid\mathfrak{B}(2)}\\ (Z^{3}_{\mid\mathfrak{B}(2)})^{*}&\gamma_{33}\end{smallmatrix}\bigr{)}>0, then there exists a (unique) vector, say
[TABLE]
the associated polynomial, such that
[TABLE]
Therefore the sequence verifies that
[TABLE]
[TABLE]
Thus is a generating polynomial of .
We will build a sequence , the extension of , by using a generating polynomial and the initial data , that is,
[TABLE]
or, equivalently,
[TABLE]
Hence, lemma 3.3 implies that and are two generating polynomials of . Therefore, in , the columns are a linear combination of the columns and thus is a flat extension of . Indeed, it suffices to observe that and thus ; also one have, for all ,
[TABLE]
This finishes the proof of the theorem.
5. Example
We consider the quintic sequence,
[TABLE]
then our matrices are
[TABLE]
and
[TABLE]
The fact that is positive definite implies,
[TABLE]
and
[TABLE]
Since and , according to theorem 4.1, our sequence is a moment matrix for a 6 atomes measure. In fact, from , we can see that and are two characteristic polynomials for the moment sequence. The comment roots of the two polynomials are
[TABLE]
Finally get that .
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