Some remarks on upper bounds for Weierstrass primary factors and their application in spectral theory
Marcel Hansmann

TL;DR
This paper investigates upper bounds for Weierstrass primary factors, highlighting historical work and presenting new results and numerical computations, with applications in spectral theory.
Contribution
It introduces new bounds for Weierstrass primary factors and explores their applications in spectral theory, building on historical and recent results.
Findings
New bounds for Weierstrass primary factors
Numerical computations illustrating bounds
Applications to spectral theory
Abstract
We study upper bounds on Weierstrass primary factors and discuss their application in spectral theory. One of the main aims of this note is to draw attention to works of Blumenthal and Denjoy from 1910, but we also provide some new results and some numerical computations of our own.
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Taxonomy
TopicsHolomorphic and Operator Theory · Spectral Theory in Mathematical Physics · Matrix Theory and Algorithms
Some remarks on upper bounds for Weierstrass primary factors and their application in spectral theory
Marcel Hansmann
Faculty of Mathematics
Chemnitz University of Technology
Chemnitz
Germany.
Abstract.
We study upper bounds on Weierstrass primary factors and discuss their application in spectral theory. One of the main aims of this note is to draw attention to works of Blumenthal and Denjoy from 1910, but we also provide some new results and some numerical computations of our own.
1. Introduction
This short note is concerned with the Weierstrass primary factors
[TABLE]
defined for . These factors play an important role in complex analysis, most notably in Weierstrass’ construction of entire functions with prescribed zeros [35, p.77-124]. For instance, Weierstrass showed that given a sequence with the property that for some , the canonical product
[TABLE]
defines an entire function which vanishes exactly at the points . For many applications (see e.g. [1] and references therein) it is important to control the growth of such canonical products and this requires suitable bounds on the primary factors . For this reason, in the present note we will study the quantities
[TABLE]
for and (respectively and ). That this supremum is finite will be discussed below. In other words, is the smallest number such that
[TABLE]
The existence of bounds of the form (3) had already been established in works of Lindelöf [26] in 1902 and a comprehensive study of the constants had been carried out by Blumenthal [2] and Denjoy [10] in 1910. However, it seems that only few mathematicians are/were aware of these studies so that in the following years parts of Blumenthal and Denjoy’s results have been re-proven over and over again (see Remark 1 below). One of the main aims of the present note is to make the results of these two authors more widely known. In addition, we will also provide a few results of our own.
Our interest in the constants originated from an application in spectral theory, namely, the study of regularized determinants of linear operators (see, e.g., [21, 33, 30, 20, 18, 24]). Let us briefly indicate what this is about: If is a compact linear operator on a Hilbert space , whose singular numbers are in for some , then the -regularized determinant of , where denotes the identity operator on , is defined as
[TABLE]
Here and denote the discrete eigenvalues of , counted according to algebraic multiplicity. In particular, setting
[TABLE]
we can use (3) (and Weyl’s inequality [36]) to estimate
[TABLE]
Such regularized determinants play an important role in the spectral analysis of compact and compactly perturbed linear operators, since they allow to transfer the problem of analyzing the spectrum of a linear operator to the problem of studying the zero-set of a holomorphic function (the function is entire), which in turn is intimately connected to its growth behavior. It is for this reason that the constants appear in a large variety of eigenvalue estimates for linear operators, so a precise knowledge of their values is crucial. To mention just one example, in [7] it was shown that for a bounded operator on a complex Banach space , being a compact perturbation, one has the following upper bound on the number of discrete eigenvalues of in : For every
[TABLE]
where is an explicitly known constant and denotes the th approximation number of . For other appearances of in eigenvalue estimates (sometimes with a different notation), see, e.g. [4, 8, 12, 25, 22, 9, 11, 16, 32, 13, 24, 14, 15, 17, 23].
The results from below will allow us to compute the ’s numerically (apparently, this has not been done before). We conclude this introduction with a plot of the result.
2. The case
We start with a look at the case . So for and let us consider the function
[TABLE]
Then the following facts can be easily checked:
- (1)
is continuous in . 2. (2)
tends to for . 3. (3)
Setting with we can use the Taylor expansion of to obtain
[TABLE]
which shows that in case the map can be continuously extended to (setting ). Moreover, if then . 4. (4)
We have
[TABLE]
and if then for .
The next result is due to Blumenthal and Denjoy.
Proposition 1** (Blumenthal [2], Denjoy [10]).**
Let and . Then the function
[TABLE]
is monotone increasing on . Moreover, for we have
[TABLE]
For a proof of the proposition we refer to the original works or, alternatively, to a recent re-proof given by Merzlyakov in [28], Theorem 1.
The previous proposition, together with (1)-(4) from above, shows that is indeed finite and that
[TABLE]
As noticed in the introduction, this observation goes (at least) back to work of Lindelöf [26] in 1902 (see also Pringsheim [31]). A further consequence of Proposition 1 is the following result.
Corollary 1**.**
Let and . Then
[TABLE]
Moreover, the mapping is monotone decreasing and convex.
The observation that the previous mapping is convex seems to be new.
Proof.
Just note that for the mapping is monotone decreasing and convex. ∎
The identity (6) easily allows us to compute the constants numerically. The following figure shows the result, using Mathematica’s FindMaximum-Routine. Here each rectangle corresponds to the graph of for the specified .
Some of the features reflected in the previous figure can be proven rigorously. In the following theorem denotes the principal branch of the Lambert function, i.e. the inverse of the strictly increasing function
[TABLE]
Theorem 1** (Blumenthal [3], Denjoy [10], Cohn [6]).**
The following holds:
- (i)
* is monotonically increasing. Moreover, the sequence*
[TABLE]
is monotonically decreasing and for all . 2. (ii)
* is monotonically decreasing.* 3. (iii)
For every we have
[TABLE]
where is the unique positive zero of the function . Here denotes the exponential integral. 4. (iv)
* and .*
Here (i) is due to Blumenthal, (ii) is due to Cohn and (iii) is due to Denjoy. The evaluation of the constants in (iv) is straightforward, but can also, for instance, be found in the work of Cohn. It should be noted that Cohn did his work in 1973, probably unaware of the previous work of Blumenthal and Denjoy, and that he also provided a proof of (iii). Most of the above results can also be found in a recent paper by Merzlyakov [28].
Remark 1*.*
The bound
[TABLE]
implicitly contained in (i), had previously been obtained both by Blumenthal and Denjoy in their 1910 papers [2] and [10]. Unaware of this work, Smithies [34] (in 1941) and Brascamp [5] (in 1969) re-proved this inequality for and , respectively. The general result, however, seems to have been widely forgotten over time. Standard text-books on entire functions (such as, e.g., Nevanlinna [29]) usually contain only the much weaker but easier to prove inequality that . Eventually the general bound was re-proven by Marchetti [27] in 1993. There we can also find the fact that the constants appearing in (7) can be bounded above by
[TABLE]
However, whereas . In 2013 and 2016, respectively, the general estimate was again re-proven by Gil’ [19] (with the exception of the case ) and by Merzlyakov [28].
As a consequence of Theorem 1 and Corollary 1 we obtain the following result, which seems to be new.
Corollary 2**.**
Let . Then for every
[TABLE]
In particular,
[TABLE]
and for
[TABLE]
with as in Theorem 1.
Proof.
The inequalities (8) follow by monotonicity and convexity of . Estimate (9) follows by (8) and Theorem 1, part (iv). Finally, in the proof of (10) we use (8) and the facts that, by Theorem 1, and . ∎
3. The case
In this section we consider the case which can be computed explicitly (and quite easily). The results in this section seem to be new.
For we set
[TABLE]
Since , with equality for , we see that
[TABLE]
In the following theorem denotes again the principal branch of the Lambert function.
Theorem 2**.**
The following holds:
- (i)
. 2. (ii)
If , then
[TABLE]
where
[TABLE]
Remark 2*.*
Since for small , we see that
[TABLE]
Moreover, by maximizing over we obtain
[TABLE]
Proof of Theorem 2.
(i) Since for all and
[TABLE]
we obtain .
(ii) Now let and set
[TABLE]
Note that is positive and so it has a maximum in . A short computation shows that iff
[TABLE]
This equation has exactly one positive solution which, as a short computation shows, is given by
[TABLE]
So the maximal value of is given by
[TABLE]
Now in order to obtain (11) we expand this fraction by and use that
[TABLE]
∎
Acknowledgments
I would like to thank Leonid Golinskii for a helpful discussion. This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project number HA 7732/2-1.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 3[3] O. Blumenthal. Einige Anwendungen der Sehnen- und Tangententrapezformeln. Christiaan Huygens , 3:1–17, 1923.
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- 5[5] H. J. Brascamp. The Fredholm theory of integral equations for special types of compact operators on a separable Hilbert space. Compositio Math. , 21:59–80, 1969.
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