1. Introduction
The result obtained (Theorem 1) shows that a linear bounded operator T strictly positive on a dense set S in a separable Hilbert space H, is injective. Equivalently, its null space does not contain non null elements: .
The positivity of a linear bounded operator T on S, not null, ensures that the null space of T contains from S only the element 0, i.e. . Thus, a zero of T could be only in the difference set considering that a linear combination of and not null, is inside the difference set. Let observe that is non negative on the entire space and, an integral operator having the kernel function non negative valued enters in this category, making the method useful for any linear bounded operator provided that the operator is strict positive on the finite dimension subspaces of the family whose union is dense.
We will deal with positive operators on a dense set and the norm used here is the norm induced by the inner product. The idea is to consider the dense set in H be the union of a family F of finite dimension including subspaces , . For obtaining the necessary criteria for injectivity, we will exploit the relationship between the orthogonal projections of the eligible elements onto the family subspaces built in a multi-level fashion and the positivity parameters of the operator or its operator approximations on these subspaces. This framework is similar to multigrid discretisation (multi-level) methods used in applied mathematics.
Now, a linear bounded operator T positive on a finite dimension subspace is in fact strictly positive on it, i.e. there exists such that . Suppose T be positive in each subspace . If there exists such that for any then T is strict positive on the dense set S and, by Theorem 1 introduced below, . In this case is no need for further investigations.
If the sequence of the positivity parameters of T is not bounded, with , we consider two directions for investigation:
· involving the adjoint operator restrictions on the subspaces of the family, improving in the new context with Lemma 2 below the criteria introduced in [1] or,
· considering a sequence of positive operator approximations on subspaces.
An inferior bound of the positivity parameters of operator approximations, ensures strict positivity of the operator on the dense set. Lemma 1 address this case.
Both cases are analysed in the next paragraph. The third paragraph is dedicated to analyse the dense set most appropriate for obtaining operator or operator approximations having sparse matrix representations on the finite dimension subspaces whose union is dense in . The last paragraph is used for showing that on these subspaces the operator considered by Alcantara-Bode in [2] has the sequence of positivity parameters bounded inferior and so, verifying the criteria introduced in the third paragraph.
2. Two Theorems on Injectivity
Let H be a separable Hilbert space and denote with the class of the linear bounded operators on H. If is positive on a dense set , i.e. not null, then T has no zeros in the dense set. Otherwise, if there exists such that then contradicts its positivity.
Follows: its ’eligible’ zeros are all in the difference set , i.e. . In our analysis we will take in consideration only the collection of eligible zeros that are on the unit sphere, without restricting the generality once for an element that is not null both w and are or are not together in .
Theorem 1. If is strictly positive on a dense set of a separable Hilbert space then T is injective, equivalently .
Proof.
The set is dense if its closure coincides with H. Then, if , for every there exists such that . Now, the (1) results as follows. If :
.
If instead, then:
.
Therefore, given
, for every
there exists
such that
Let
w be an eligible element from the unit sphere,
and take
.
Then there exists at least one element such that holds. From (1), ∣ 1 - ∣ showing that, for any choices of a sequence approximating w, , it verifies .
If is strict positive on S, then there exists such that , .
Suppose that there exists
and consider a sequence of approximations of
w,
that, as we showed, has its normed sequence converging in norm to 1. From the positivity of
T on dense set
S, follows:
With c=
, we obtain
. Then,
with
, contradicting its convergence
with
.
This occurs for any choice of the sequence of approximations of w, verifying , when . Thus , valid for any , proving the theorem because no zeros of T there are in S either.
Suppose that the dense set S is the result of an union of finite dimension subspaces of a family F: . It is not mandatory but will ease our proofs considering that the subspaces are including: .
Observation 1.
Let be the normed residuum of element after its orthogonal projection onto . Then, with .
Proof.
Given , from the density of the set S in H there exists verifying , as per the observations made in the proof of the Theorem 1. Let be the coarsest subspace, i.e. with the smallest dimension, from the family of subspaces containing . Because the best approximation of u in is its orthogonal projection, we obtain
, valid for every , proving our assertion. Rewriting this, for for any with the orthogonal projection onto . □
Theorem 2.
Suppose that has a sequence of operator approximations on the dense set S, having the following properties:
i) with ,
ii) , .
If T is positive on S and there exists such that
iii)
then .
Proof.
Being positive on S, the operator does not have zeros in the dense set.
For , denoting the not null orthogonal projection over by , then on any subspace , 1 = . If there exists , , for it denoting we have from ii):
.
Estimating ,
= ,
we observe that because , (from i)) and, (from Observation 1). Now, from iii)
.
From Observation 1 we have . So,
.
The inequality is violated from a range , involving , valid for any supposed zero of T in E. Because T has no zeros in the dense set, . □
Let be a Hilbert-Schmidt integral operator. A technique for obtaining approximations for to verify i) was used in [5], [6]. When , are approximations of on the subspaces of family F obtained through a class of finite rank operators - that are orthogonal projection integral operators , then from , we obtain the property i). In the next paragraph we show that is a collection of finite rank projection operators on a family of finite dimension subspaces (see [5]) whose union is dense in . Moreover, if the operator approximations verifies ii), we can show that the operator T is strictly positive on the dense set S provided that their positivity parameters sequence is bounded.
Lemma 1.
(Criteria for operator approximations). If the finite rank approximations of a positive Hilbert-Schmidt integral operator verify the conditions ii) and iii) from Theorem 2, then is strictly positive on the dense set.
Proof.
From the convergence to zero of the sequence there exists a parameter such that , corresponding to a subspace . This parameter is independent of any and, because of the inclusion property, for any we have . We could consider to be discarding a finite number of subspaces or, we could consider v to be inside of . Then:
for , resulting .
For an arbitrary there exists a coarser subspace (i.e. with a smaller dimension) , for which . For it, with we have:
. Since is positive on ,
.
Because T and are positive on , the inner product in the right side of the inequality is real valued and, .
So, if , then . From , follows:
.
Now, if , then .
Thus, taking , for any we obtain
, i.e. is strict positive on the dense set S. □
Corollary. If is an Hermitian Hilbert-Schmidt operator verifying on a dense set S the properties ii) and iii) from Theorem 2, then Q is injective.
Proof.
Being Hermitian, the operator verifies , for every . Being Hilbert-Schmidt it could be approximated on a dense family of finite dimension subspaces, its sequence of operator approximations verifying i). Then,
for any . Following the steps from the proof of Lemma 1 we obtain that:
meaning that Q is strictly positive on the dense set. Thus, due to Theorem 1/Lemma 1, we obtain . □
Now, reformulating the injectivity criteria introduced in [1], we have the following lemma, useful when a sequence of operator approximations could not be obtained.
Lemma 2.
(Criteria for operator restrictions.) Let positive on the subspaces whose union S is a dense set S, verifying: for every , where with . Consider now the parameters:
where verifies .
If exists such that for every , then .
Proof.
Suppose that there exists , and let its orthogonal projection on . Then, denoting with , we obtain from the (strict) positivity of T on each of the subspaces (as in (2)),
Rewriting,
that is a contradiction from a range . Thus, . Follows: . □
3. Approximations on Subspaces
Let
. The semi-open intervals of equal lengths
, nh = 1,
,
together with the open
define for
a partition of (0,1), k=1,n,
. Consider the interval indicator functions that have as support these intervals (k=1,n), nh=1:
The family
F of finite dimensional subspaces
that are the linear spans of interval indicator functions of the h-partitions defined by (3) with disjoint supports,
, built on a multi-level structure, are including
by halving the mesh h. In fact, this property is obtained from (3) observing that any
can be rewritten as
.
With the observation that the set is dense in H well known in the literature, until now we have met the requests of previous lemmas needed to investigate the injectivity of an integral operator .
Citing [5], (pg 986), integral operator
with the kernel function:
is a finite rank integral operator orthogonal projection having the spectrum {0, 1} with eigenvalue 1 of multiplicity n (nh=1) corresponding to the orthogonal eigenfunctions
. We will show it, by proving that
,
and, as a consequence, obviously
for
. For any
,
, where ,
that is the standard orthogonal projection of u onto . Now, for ,
, where
, is valued as and 0 for .
and therefore, for every involving for any .
Because is an orthogonal projection onto and due to the including properties of the finite dimension subspaces whose union is dense,
for . Therefore, from the property i) in Theorem 2 holds for any integral operator on the family of finite dimension subspaces spanned by indicator interval functions associated with partitions defined by (3). In fact, .
Remark 1. The matrix representation of restriction to is a sparse diagonal matrix: its elements outside the diagonal are zero valued.
Proof.
The inner product on the subspace between and is the result of the orthogonal projection of u and , similar to an inner product between two step functions: . If and , owing to the disjoint supports of the indicator interval functions, for and, their inner product is
.
Let be a Hilbert-Schmidt integral operator on H. Now,
.
Follows:
for because and have disjoint supports for .
Then, the matrix representation of restriction on , is a sparse diagonal matrix having the diagonal entries
, and,
for any from . □
The integral operator approximation of
on
denoting it by
, is a finite rank operator approximation, with a kernel function ([5])
where the pieces
of the kernel function
in the sum have disjoint supports in
, namely
. Thus, follows:
Remark 2. The matrix representation of is a sparse diagonal matrix and,
.
Evaluating for , we obtain
. Then,
for
and the matrix representation of the finite rank operator
, is:
. It is a sparse diagonal matrix because
for
having the diagonal entries
Follows: , showing that both matrices are or are not together positive. More, : □
Remark 3.
If the diagonal entries of the matrix representations are strict positive, , then is positive.
Proof.
From we obtain:
where
is the positivity parameter of the finite rank operator approximation
given by
and,
showing that
is positive on
if and only if
is positive on
. Moreover, the following relationship holds
4. Proof of the Alcantara-Bode Equivalent
Alcantara-Bode ([2], pg. 151) in his theorem of the equivalent formulation obtained from the Beurling equivalent formulation ([4]) of RH, states:
where
is a Hilbert-Schmidt integral operator ([2]) whose kernel
is the fractional part function of the ratio (
). The kernel function
is continue almost everywhere. Its discontinuities in
consist of a set of numerable one dimensional lines of the form
, with Lebesgue measure zero.
The entries in the diagonal matrix representation
of the finite rank integral operator
are given by:
, as valued in [1]:
where
is the Euler-Mascheroni constant (≃ 0.5772156...).
The formulae in (9) were computed using the suggestion found in [4] for the fractional part: for , . Subsequently,
The sequence
monotonically decrease for
and converges to 0.5 for k
. When
, we have:
. Then:
showing that the positivity parameters of the sequence of operator approximations
verifies ii) and iii) properties in Lemma 1 (Theorem 2).
Theorem 3. The Alcantara-Bode equivalent holds involving that RH is true.
Proof.
Having for any , (see (9)), the operator is positive on the dense set S. Thus, we can consider both cases of the numerical method.
-
A)
Finite rank approximations.
With (10), we obtain the bound of the positivity parameters of the operator approximations on the subspaces of the family F. From Lemma 1 follows the strict positivity of the operator on the dense set. Subsequently, from Theorem 1, .
Using (8), (9) and (10) we obtained the positivity of the operator on the dense set, observing that . Therefore, Lemma 2 must be used invoking the adjoint operator whose kernel function is
. For
,
where . Follows:
.
Because is valued in [0,1), for every , obtaining:
and, for every .
With
, the injectivity parameter of
T on
given by
is evaluated as
a constant on every subspace. Then, applying Lemma 2 we obtain
.
In each case the result is . Then in each case the conclusion is: half of Alcantara-Bode equivalent formulation of the Riemann Hypothesis holds involving the other half should hold. Therefore the Riemann Hypothesis is true. □
Observations.
· A connection between Zeta function
and the integral operator
can be observed in [4] by reformulating the left term in the expression as
:
· Considering the indicator of semi-open intervals functions of a partition of the domain, the subspaces are including () ensuring the monotony of the positivity parameters. If we replace the indicator open-interval functions for generating the subspace as well as the indicator closed-interval functions generating the subspace , then both sets and are still dense like S losing instead the including subspaces property. Information on the density of the set could be found in textbooks of functional analysis or on math.stackexchange.com. On the density of S, we showed in V4 of [11] that if one of the sets S, and is dense, then others are dense. A sketch of proof follows. Let be dense. If f is orthogonal on any then:
, k=1,n, , showing that f is orthogonal to any and so f should be 0 because is dense. So, S is dense.
· The dense sets S and have been used in [5] and [6] to obtain optimal evaluations of the decay rate of convergence to zero of the eigenvalues of Hermitian integral operators having a kernel function such as Mercer kernels ([9]).
The references [13-16] are related to other RH equivalents, [8] to exotic integrals and [12] to multi-level discretisations on separable Hilbert spaces.