To my mother
A.) Plagiarism and similarities:
Based on the document provided, the author explicitly references prior works and builds upon them, citing sources such as Alcantara-Bode (1993), Beurling (1955), and others. The methods and results presented appear to be extensions or applications of existing theories, such as the Alcantara-Bode equivalent formulation of the Riemann Hypothesis and injectivity criteria introduced in earlier works. The author also acknowledges using techniques from referenced papers, such as Mercer-like kernels and finite rank operator approximations. The document does not show any indication of plagiarism, as the author provides proper citations and references to previous works, including their contributions and methods. The results and methods are presented as original extensions or applications of these established theories. However, determining plagiarism definitively would require a detailed comparison with the referenced works to ensure proper attribution and originality. In summary, the document appears to be a legitimate scholarly work that builds upon and extends prior research, with appropriate citations provided.
(Note (n.a.): the previous owned versions of the same preprint as well the previous paper published - cited in this manuscript, could not be considered plagiarism or similarities once the aim has been to be improved from a version to another.)
B.) What are the key methods used in this document:
The document outlines several key methods used to investigate the Alcantara-Bode equivalent formulation of the Riemann Hypothesis (RH). These methods focus on functional-numerical analysis, operator injectivity, and approximation techniques.
Below are the key methods:
1. Injectivity Criteria for Linear Operators:
The document introduces criteria to determine the injectivity of linear bounded operators on separable Hilbert spaces. It uses positivity parameters to analyse whether the null space of an operator is empty (), which is equivalent to proving injectivity. The method involves evaluating the positivity of the operator on dense sets or on finite dimensional subspaces.
2. Finite Rank Operator Approximations:
Finite rank approximations of integral operators are constructed on finite dimensional subspaces. These approximations are used to analyse the convergence of the operator to its original form and to ensure positivity parameters are bounded. The document applies this method to Hilbert-Schmidt integral operators, which are compact and allow proper approximations.
3. Multi-Level Discretization:
Dense sets in the Hilbert space are constructed using indicator functions of intervals from partitions of the domain. A multi-level structure is employed, where the mesh size is halved at each level, creating finer partitions. This discretization method is similar to techniques used in multigrid numerical analysis and finite element methods.
4. Adjoint Operator Analysis:
The adjoint operator is used to analyse injectivity when positivity parameters converge to zero. The method leverages the fact that a linear operator and its associated Hermitian operator share the same null space, and Hermitian operators are non-negative.
5. Matrix Representation of Operators:
Sparse diagonal matrix representations of integral operators are derived for finite dimensional subspaces. The diagonal entries are computed using integrals over the partitions, and their positivity determines the operator’s positivity on the subspaces.
6. Error Estimation and Convergence:
The connection between error estimations of eligible zeros and positivity parameters is used to dictate operator injectivity. The convergence of operator approximations in norm to the original operator is analysed to ensure injectivity.
7. Application of Lemmas and Theorems: The document uses several lemmas and theorems to formalize the methods:
- -
Theorem 1: Proves that strict positivity on a dense set implies injectivity.
- -
Theorem 2: Establishes injectivity using finite rank operator approximations with bounded positivity parameters.
- -
Lemma 1: Provides criteria for finite rank approximations of Hilbert-Schmidt integral operators.
- -
Lemma 2: Introduces criteria for operator restrictions when positivity parameters converge to zero.
8. Specific Application to the Alcantara-Bode Equivalent:
The methods are applied to the integral operator with kernel , which is connected to RH (n.a.: here denotes the fractional part function). The positivity parameters of finite rank approximations are shown to be inferior bounded, proving the operator’s injectivity and validating RH.
These methods collectively provide a rigorous framework for analysing the injectivity of integral operators and proving the Alcantara-Bode equivalent formulation of the Riemann Hypothesis. □
1. Introduction
Let H be a separable Hilbert space. A result obtained (Theorem 1 below) shows that the null space of a linear bounded operator strict positive on a dense set in H, does not contain non null elements. Consider F be a family of finite dimension including subspaces such that their union S is a dense set in the separable Hilbert space H. Dense sets having such properties there exist, for example when then S could be built in a multi-level fashion using indicator functions of the disjoint intervals of the domain partitions (see the paragraph 3). Such families could be obtained also from a basis in H, a subspace being spanned by first n elements from the basis for example.
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. . 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 for every .
Suppose T positive on each subspace from the family F.
If there exists such that for any then T is strict positive on the dense set S and, by Theorem 1 below .
If instead the sequence of the positivity parameters of T is converging to zero, with , we consider two directions for the investigation of its injectivity providing the theory and the methods needed for:
- involving the adjoint operator restrictions on the subspaces of the family, having as support Lemma 2 below;
- considering a sequence of positive operator approximations on subspaces, if there exists one such that the sequence is convergent in norm to the operator
and, whose corresponding sequence of positivity parameters is inferior bounded: there exists such that
where . The Theorem 2 and Lemma 1 below are dealing with this method.
While the criteria involving the adjoint operator (introduced in [1]) could be applied to any positive, linear bounded operator, for involving the operator approximations we have to find the means for obtaining a proper approximation schema in terms of the convergence of the approximations to the original operator and, such operator approximations should be positive on the subspaces in F having an inferior bound for the sequence of the positivity parameters.
However, note that the positivity of the operator could be solved by replacing it by its associated Hermitian () that has the same null space with T and it is non negative definite on H.
Let observe that there is a connection between the two kind of positivity parameters on each subspace: if h is the length of the intervals in a partition of (0,1), , then for the Hilbert-Schmidt integral operator on of our interest, we obtained with a constant mesh independent.
2. Two theorems on injectivity and associated methods.
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 in S, 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. .
Theorem 1. If is strict positive on a dense set of a separable Hilbert space then T is injective, equivalently .
Proof. Let’s take in consideration only the set of eligible zeros that are on the unit sphere without restricting the generality, once for an element both w and are or are not in . The set is dense if its closure coincides with H. Then, if , for every there exists such that . Now, (1) results as follows. If :
.
If instead, then:
.
So, 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. Follows 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
a zero of
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 the dense set
S, follows:
With c=
, we obtain
. Then,
with
, in contradiction with its convergence
with
.
Or, this happen 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 the eligible element after its orthogonal projection on . 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
,
inequality valid for every , proving our assertion. □
For , let be a sequence of operator approximations on having the property and, suppose that for every , the operator approximation is positive on and denote with its positivity parameter.
Theorem 2.
Let be positive on the dense set S. If the sequence of its approximations on the family F verifies:
i) with ;
ii) , ;
iii) ,
then.
Proof. Being positive on S, the operator has no zeros in the dense set.
For , denoting the not null orthogonal projection over by , we have on any subspace , where is its (normed) residuum. We have: and .
If there exists , then for it:
=
evaluation obtained because . Then from Observation 1 and iii) we have:
.
The inequality is violated from a , involving , valid for any supposed zero of T in E. Once T has no zeros in the dense set, . □
We will deal now, with the special case of the approximations of the Hilbert-Schmidt integral operators that, being compact operators could be approximated in a proper matter on finite dimension subspaces so, the condition i) is satisfied ([3]).
Let be a Hilbert-Schmidt integral operator. A technique for obtaining the approximations for an integral operator is used in [5]. Thus, the condition i) in the Theorem 2 is fulfilled when are finite rank approximations on the subspaces of the family F obtained by orthogonal projection integral operators . Then, for every not null:
Lemma 1.
(Criteria for finite rank approximations). If the finite rank approximations of a positive linear Hilbert-Schmidt integral operator on a dense set S are positive on the family of approximation subspaces F and the sequence of the positivity parameters is inferior bounded,
then is strict positive on the dense set so, it is injective.
Proof. The requests i), ii) in the Theorem 2 hold by the previous observations. From the convergence to zero of the sequence there exists a ’compactness’ parameter verifying corresponding to a subspace . The parameter in independent from any and, due to the including property, for any we have . We could consider be or, your choice, we could consider v as being inside of . Then:
for , resulting .
For an arbitrary there exists a coarser subspace (i.e. with a smaller dimension) , for which . For it, we have:
. Since is positive on ,
.
Now, T and are positive on . Then the inner product in the right side of the equality is real valued and, .
So, if , then . Because , follows:
.
Now, if , .
Thus, taking ,
for any meaning that T is strict positive on the dense set S and from Theorem 1, . □
Corollary. If is a Hermitian compact operator verifying on a dense set the properties i) and ii) from Theorem 2, then it is injective.
Proof. Being Hermitian, the operator verifies , for every . Being compact it admits on a dense family of finite dimension subspaces a sequence of approximations. Then, for any ,
obtaining following the steps from the proof of Lemma 1 that in the hypotheses i) and ii) holds:
meaning that Q is strict positive on the dense set. Thus, due to the Theorem 1. Let observe that if then result obtained without requesting the positivity of Q or T on the dense set. □
The following lemma is dealing with the cases in which a proper sequence of operator approximations could not be defined (see the Injectivity Criteria in [1]).
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:
whereverifies.
If there exists such thatfor every, then.
Proof. Suppose that there exists , and let its orthogonal projection on . Then, from the (strict) positivity of T on each of the subspaces (see (2)):
Then, from
where , we obtain a contradiction. Thus, affirmation valid for any . Follows: . □
3. Dense sets in .
Let
. The semi-open intervals of equal lengths
, nh = 1,
,
together with the open
are defining for
a partition of (0,1), k=1,n,
. Consider the interval indicator functions having the supports 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, the property is obtained from (3) observing that
.
The set is dense in H well known in literature.
Citing [5], (pg 986), the integral operator
having the kernel function:
is a finite rank integral operator orthogonal projection having the spectrum {0, 1} with the eigenvalue 1 of the 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, if f = ,
,
i.e. and so, for any . Because is an orthogonal projection onto and due to the including property of the finite dimension subspaces whose union is dense, follows:
for . So, i) in Theorem 2 holds.
Remark 1. The matrix representation of on is a sparse diagonal matrix: its elements outside the diagonal are zero valued.
Proof. The inner product on the subspace between and is a result between the orthogonal projection of u and , like an inner product between two step functions: . If and , due 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 on , is a sparse diagonal matrix having the diagonal entries
, and, with ,
. □
The integral operator approximation of
on
is a finite rank operator approximation,
, having the kernel function ([5])
where the pieces
of the kernel function
in the sum have disjoint supports in
namely
.
Remark 2. The matrix representation of is a sparse diagonal matrix and, .
Proof. Evaluating the previous relationship for , we obtain
. Then,
for and the matrix representation of the finite rank operator ,
is:
, a sparse diagonal because
for
and with the diagonal entries given by:
Follows: , i.e. both matrices are or are not simultaneous positive. □
Pointing out:
, for any .
Remark 3. If , because we obtain:
where
is the positivity parameter of the finite rank operator approximation
.
From
results that
is positive on
if and only if
is positive on
. Then, if on every subspace
,
, the following relationship holds
Remark 4. Thus, the positivity of the linear bounded integral operator on the dense set S is determined by the diagonal entries in its matrix representations.
4. Proof of the Alcantara-Bode equivalent of RH.
We are now in position to prove RH showing that the integral operator
where is the fractional function of the ratio , has its null space .
Alcantara-Bode ([2], pg. 151) in his theorem of the equivalent formulation of RH obtained from Beurling equivalent formulation ([4]), states:
Its kernel function
defined by the fractional part of the ratio
is continue almost everywhere, the discontinuities in
consisting in a set of numerable one dimensional lines of the form
, being of Lebesgue measure zero. The integral operator is Hilbert-Schmidt ([2]) and so compact, allowing us to consider its approximations on finite dimension subspaces ([3]).
The entries in the diagonal matrix representation of the finite rank integral operator are given by:
, and valued (see also [1]) as follows:
for
, where
is the Euler-Mascheroni constant (≃ 0.5772156...). The formula (9) has been computed using for the fractional part the suggestion found in [4]: for
,
. Then,
The sequence from (9)
is monotone decreasing for
and converges to 0.5 for k
. For
, we have:
. Then:
showing that the finite rank approximations of the integral operator have the sequence of the positivity parameters inferior bounded.
Theorem 3. (Finite Rank Approximations): The Alcantara-Bode equivalent of RH holds.
Proof. From (10) results that the sequence of the positivity parameters of the finite rank operator approximations on the dense family F is inferior bounded, being a constant mesh independent. Then, is obtained from Lemma 1 (or Theorem 2). □
We use now the method covered by Lemma 2 (see also [1], Injectivity Criteria). The integral operator is (strict) positive on with the parameter valued from (8) and (10),
with .
In order to apply Lemma 2, we should invoke the adjoint operator of whose kernel function is . For
,
where . Follows:
.
Because is valued in [0,1), for every , we obtaining:
and, .
Taking
, the injectivity parameter of
T on
is given by:
Theorem 4. (Injectivity Criteria): The Alcantara-Bode equivalent of RH holds.
Proof. Because is a constant (see (11)) for any , applying Lemma 2 we obtain . □
Proposition. From Theorem 3 or Theorem 4 we have , meaning that half from Alcantara-Bode equivalent of RH holds. Then, the other half should hold, i.e.: the Riemann Hypothesis is true.
Observations.
We considered the subspaces spanned by indicator of semi-open intervals functions of a partition of the domain and so, the subspaces are including () providing the monotony of the positivity parameters. If we take instead the indicator open-intervals functions for generating the subspace as well of the indicator closed-intervals functions generating the subspace , then both sets and are dense like S, easy to show ([11]). Moreover, because on any level of discretisation the support of the corresponding indicator intervals from differ only by the sets of the subintervals end points, a finite number and so of measure Lebesgue zero, all the estimations and results obtained for the dense set S are valid for the dense sets and . See [11] for more details.
The dense sets S and have been used in [5] and respectively [6] for obtaining optimal evaluations of the decay rate of convergence to zero of the eigenvalues of Hermitian integral operators having the kernel like Mercer kernels ([9]).
Acknowledgments
With this version of the preprint, we ended our investigations on the injectivity of the linear bounded operators on separable Hilbert spaces, focusing on proving the Alcantara-Bode equivalent formulation of RH. The observations below copied ’as is’ were obtained running AI Adobe Acrobat Assistant against plagiarism and key methods used.
Conflicts of Interest
No Competing Interests.
The references [13-16] are related to other RH equivalents, [8] to exotic integrals and [12] to multi-level discretizations on separable Hilbert spaces.
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