1. Introduction
Let
be a separable, infinite dimensional, complex Hilbert space, and let
be the algebra of all bounded linear operators on
. An operator
T in
is said to be
normal if
hyponormal if
and
subnormal if
where
N is normal on some Hilbert space
For
, let
. We say that an
n-tuple
of operators in
is
hyponormal if the operator matrix
is positive on the direct sum of
n copies of
. For arbitrary positive integer
k,
is (strongly)
k-
hyponormal if
is hyponormal. It is well known that
T is subnormal if and only if
T is
∞-hyponormal. An operator
T in
is said to be
weaklyn-
hyponormal if
is hyponormal for any polynomial
p with degree less than or equal to
An operator
T is
polynomially hyponormal if
is hyponormal for every polynomial
. In particular, the weak two-hyponormality (or weak three-hyponormality) is referred to as quadratical hyponormality (or cubical hyponormality, resp.) and has been considered in detail in [
1,
2,
3,
4,
5,
6,
7,
8,
9].
Let
be the canonical orthonormal basis for Hilbert space
, and let
be a bounded sequence of positive numbers. Let
be a unilateral weighted shift defined by
It is well known that
is hyponormal if and only if
The moments of
are usually defined by
It is well known that
is subnormal if and only if there exists a Borel probability measure
supported in
with
supp
such that [
10]
d
It follows from [
11] (Theorem 4) that
is subnormal if and only if for every
and every
the Hankel matrix:
A weighted shift
is said to be
recursively generated if there exists
and
such that:
where
is the moment of
i.e.,
equivalently,
Given an initial segment of weights there is a canonical procedure to generate a sequence (denoted ) in such a way that is a recursively-generated shift having as an initial segment of weight. In particular, given an initial segment of weights with we obtain and
In [
12,
13], Curto-Putinar proved that there exists an operator that is polynomially hyponormal, but not two-hyponormal. Although the existence of a weighted shift, which is polynomially hyponormal, but not subnormal, was established in [
12,
13], a concrete example of such weighted shifts has not been found yet. Recently, the authors in [
14] proved that the subnormality is equivalent to the polynomial hyponormality for recursively-weighted shift
with
Based on this, in this paper, we have to consider the weighted shift operator with five generated elements.
The organization of this paper is as follows. In
Section 2, we recall some terminology and notations concerning the quadratic hyponormality and positive quadratic hyponormality of unilateral weighted shifts
. In
Section 3, we give some results on the unilateral weighted shifts with recursively generated by five weights
. In
Section 4, we consider positive quadratic hyponormalities of
with weights
and
In
Section 5, we give more results on the positive quadratic hyponormality for any unilateral weighted shift
. In
Section 6, we present the conclusions.
2. Preliminaries and Notations
Recall that a weighted shift
is
quadratically hyponormal if
is hyponormal for any
[
2], i.e.,
for any
Let
be an orthonormal basis for
, and let
be the orthogonal projection on
For
, we let:
where:
and
Hence,
is quadratically hyponormal if and only if
for every
and every
Hence, we consider
, which is a polynomial in
of degree
with Maclaurin expansion
It is easy to find the following recursive relations [
2]:
Furthermore, we can obtain the following:
and:
In particular, for any
we have:
Furthermore, we can obtain the following results.
Lemma 1. Let Then, for any we have: Lemma 2. Let Then, for any we have: Lemma 3. For any and we have: To detect the positivity of we need the following concept.
Definition 1. Let be a positive weight sequence. We say that is positively quadratically hyponormal if for all with and for all [2]. Positive quadratic hyponormality implies quadratic hyponormality, but the converse is false [
15]. In addition, the authors in [
15] showed that the positive quadratic hyponormality is equivalent to the quadratic hyponormality for recursively-generated weighted shift
with
(here,
).
3. Recursive Relation of
Given the initial segment of weights
with
we obtain the moments:
Let:
and we assume that
are linearly independent, i.e.,
Then, there exist three nonzero numbers
, such that:
A straightforward calculation shows that:
By (1), we can obtain a recursively-generated weighted shift, and we set it as . In this case, we call the weighted shift operator with rank three.
Proposition 1. with rank three is subnormal if and only if:
(1)
(2)
(3)
Proposition 2. If with rank three is subnormal, then and
Proof. By Proposition 1, we know that:
Thus,
Since:
and:
we have
and
The proof is complete. □
Proposition 3. Let Then: Proof. Thus, we have our conclusion. □
Since
, we let
and by (2), we have
hence:
4. Main Results
First, we give the following result (cf. [
11], Corollary 5).
Proposition 4. Let be any unilateral weighted shift. Then, is two-hyponormal if and only if
It is well-known that if is two-hyponormal or positively quadratically hyponormal, then is quadratically hyponormal. By Proposition 4 and Lemma 1∼3, we have the following result.
Theorem 1. Let be any unilateral weighted shift. If is 2-hyponormal, then is positively quadratically hyponormal.
4.1. The Positive Quadratic Hyponormality of
Let
with
and we consider the following
matrix:
Let Then:
Lemma 4. and .
Proof. In fact,
and:
Thus, we have our conclusion. □
Lemma 5. Assume that for Then, for we have: Proof. By the inductive hypothesis, we have our result. □
Thus, if
for
then by Lemma 1∼3 and Lemma 5, for
we have:
where
Therefore, when
we have:
To complete our analysis of the coefficients it suffices to determine the values of x for which
Lemma 6. (for any if and
Proof. For
by Lemma 2, we have:
and since
we get:
If
we can factor
to get:
Hence, we have our result. □
By direct computations, we have:
For
a calculation using the specific form of
and
shows that:
it follows that:
Let
. Then, for
Lemma 7. where as in (3).
Proof. Since:
from which it follows that:
Thus, we have (for
):
Since
we have:
Thus, we have our conclusion. □
By Lemma 7 and the fact in [
2] (p. 399), if
is increasing, then we know that
in (5) is decreasing and
Thus, we have the following result.
Theorem 2. Assume that with rank three is subnormal. Let and let:If is increasing, then:where: Remark 1. By (6), we know that if is increasing, then so is Hence, our problems are as follows.
Problem 1. Let be any unilateral weighted sequence. If is subnormal, is increasing or not? In particular, what is the answer for subnormal with rank three?
Example 1. Let Then, and We obtain That is, if then is positively quadratically hyponormal. Numerically, we know that and are all increasing. See the following Table 1. 4.2. The Positive Quadratic Hyponormality of
Let
We also consider the matrix as in (4), and let
Then:
and:
Since:
we can similarly show that
for all
, if
and
where
. Thus, we have the following result.
Theorem 3. Let If is increasing, and:
(1)
(2) where:then is positively quadratically hyponormal. Example 2. Let If with then is positively quadratically hyponormal. See the following Figure 1. 5. More Results
From the above discussions, we obtain the following criteria for any unilateral weighted shifts.
Proposition 5. Let and be subnormal weighted shifts. Let: If is increasing and (as ), then:where: By Proposition 5, we can have the following results, but we omit the concrete computations.
Example 3. (1) Let Then, (cf. [11], Proposition 7). (2) Let Then, (cf. [15], Theorem 3.7). (3) Let Then,
(4) Let Then, (cf. [16], Example 3.4).