Abstract
We consider a wide class of summatory functions , associated with the multiplicative arithmetic functions f of a scaled variable , where p is a prime number. Assuming an asymptotic behavior of the summatory function, , where , and , , we calculate the renormalization function , defined as a ratio , and find its asymptotics when . We prove that a renormalization function is multiplicative, i.e., with n distinct primes . We extend these results to the other summatory functions , and , , . We apply the derived formulas to a large number of basic summatory functions including the Euler and Dedekind totient functions, divisor and prime divisor functions, the Ramanujan sum and Ramanujan Dirichlet series, and others.
MSC:
11N37; 11N56
1. Summatory Multiplicative Functions with Scaled Variable
Among summatory arithmetic functions of various , the most studied are the basic multiplicative functions and their algebraic combinations. A study of different summatory functions and their asymptotics has a long history [1,2,3]. Their list includes totient functions: the Euler , Dedekind and Jordan , and nontotient functions: the Möbius and the n-order Möbius , Liouville , Piltz , divisor , prime divisor , nonisomorphic Abelian group enumeration function , exponentiation of additive functions , and , which give the numbers of distinct prime dividing k and total prime factors of k counted with multiplicities, respectively. The whole family of multiplicative arithmetic functions is much wider, e.g., the number of representations of k by sum of two integral nth powers [4], the number of representations of k by sum of n integer squares [3], the Legendre and Zsigmondy totient functions [2] and the Nagell totient function [5], the nonisomorphic solvable [6] and nilpotent [7] finite group enumeration functions, the Gauss [3], Ramanujan [3] and Kloosterman [8] sums, the Ramanujan function [9], and other arithmetic functions studied in the last decade [10,11,12,13,14,15].
In this paper, we study a family of summatory multiplicative arithmetic functions with a scaled summation variable,
that, to the best of our knowledge, has not been discussed in the literature. For this reason, henceforth, we use the notation for an unscaled summatory function. A description of asymptotics of , , assumes that we know two characteristics, its leading and error terms, and , respectively, i.e.,
A study of summatory functions was motivated by an idea that came from the modern theory of critical phenomena (Kadanoff [16], Wilson [17]) and dealt with statistical sums for systems, characterized by different length scales. Instead of straightforward calculations, an approach was proposed that links the sums of two adjacent scales by a renormalization difference equation. In this paper, for the first time, we apply the ideas of renormalization from statistical physics to calculate asymptotically summatory multiplicative arithmetic functions.
This article is organized into six sections and concludes with concluding remarks. In Section 1.1, we introduce universality classes of arithmetic functions such that different have the same and . Inspecting a vast number of multiplicative functions , we focus on wide classes, , , where and . In Section 1.2, we derive a functional equation defined at different scales ,
where the characteristic functions are satisfied by the recursive equations,
and denotes the largest integer not exceeding u. The functions are calculated in (17) and their behavior in r is crucial for the convergence of numerical series. This is a subject of special discussion in the next section.
In Section 2, we define the renormalization function and its asymptotics,
The aim of this paper is to study the asymptotic renormalization function in various aspects: (a) its existence as a convergent numerical series, (b) its multiplicativity property without specifying the function , (c) formulas for for corresponding Dirichlet series, (d) formulas for for different arithmetic functions , (e) formulas for basic arithmetic function . In short, we often omit the word ‘asymptotic’ and refer to as a renormalization function unless this would mislead the readers.
By imposing restrictions on , in Section 2.1, we prove two lemmas on the convergence of numerical series and calculate the asymptotics of renormalization functions. In Section 2.2, by these constraints, we show that the error term does not contribute to . In Section 2.3, we give a rational representation for , which is much easier to implement in analytic calculations.
In Section 3, we prove that the renormalization function has a multiplicative property in the following sense, with n distinct primes (see Corollary 1). Using the renormalization approach, we also calculate the summatory functions .
In Section 4, we extend the renormalization approach on summatory , where , , and the corresponding Dirichlet series , . We also study the renormalization of the summatory function .
In Section 5, we apply formulas, derived in Section 2, to calculate for basic multiplicative arithmetic functions and their combinations. Almost all summatory functions are considered by Theorem 2 based on a simple calculation of and avoiding the cumbersome calculation of characteristic functions . The renormalization functions are given by algebraic and non-algebraic expressions as well, e.g., see in (131) and in (135), respectively. In this regard, the Ramanujan – function is of particular interest: unlike many other functions , its value for is given by a complex formula (151), while the characteristic functions and have been calculated in a simple form suitable for the explicit calculation of and . We have found a new identity (157) for the Ramanujan – function.
In Section 6, we give a numerical verification of the renormalization approach developed in the article using numerical calculations and show its validity with high precision.
1.1. Asymptotic Growth of Summatory Functions
Consider the summatory multiplicative arithmetic function and represent its asymptotics in N, instead of (2), by using one constant and two positive definite functions and ,
where “” stands for the “big–O” Landau symbol.
The asymptotic growth of is determined by its leading term and is given by the nondecreasing function , that is, either increasing or equal to one, while the decreasing function denotes the error term. The constant is introduced to distinguish summatories with similar functions and , e.g., see , and in Table 1.
Table 1.
Summatory multiplicative arithmetic functions and their asymptotics.
Different arithmetic functions can have the same and ; therefore, the entire set of can be decomposed into different universality classes as follows:
where
Below are examples of various multiplicative functions belonging to different universality classes.
By the inspection of a vast number of multiplicative functions with known asymptotics and (see Table 1 and Table 2), in this paper, we focus on their most wide class,
Table 2.
Other summatory functions and the Dirichlet series of multiplicative functions.
Remark 1.
In Table 1 and Table 2, we present a long list of multiplicative functions that belong to one of the universality classes satisfying (8).
We use the standard notation for the functions mentioned in Section 1. Here, stands for the Riemann zeta function, the explicit expressions for , , , , , , and the values for are given in the corresponding references. The values of , , were calculated by the author and marked by (⋆). The error terms for summatories of , , and are unknown to date.
The relation between the multiplicative properties of the arithmetic functions and the asymptotics of their summatory functions is not straightforward. In other words, the following correspondence:
is neither bijective nor injective. Indeed, the direction ‘⟵’ is not satisfied, since there exists a nonmultiplicative function , which has the summatory function [37].
Regarding another direction ‘⟶’, there exist multiplicative arithmetic functions with summatory growth that differ from and come by enumerating finite groups. Let be a number of nilpotent groups of order k, which is multiplicative, because each finite nilpotent group is a direct product of its Sylow subgroups [7]. When , for a prime p, it is known [45] that , that is, of the order .
Consider its summatory function , which is the number of nilpotent groups of the order of most N. For some , we have . Then, for we get,
and therefore, . Note that the number , nilpotent groups of order k, nilpotency class at most n, generated by at most m elements, belongs to the universality class defined in (8), where and depend on n and m [46].
Other examples of multiplicative functions with summatory growth and error terms, which differ from , are given in [24],
They can also be encompassed within the universality classes by extending the latter on a much wider family of asymptotics, e.g.,
Keeping in mind this option, we continue to study summatory multiplicative functions with universality classes of asymptotics, given in (8).
1.2. Scaling Equation for Summatory Functions
Represent as a sum of two summatory functions
Making use of multiplicativity, if , , we obtain
where . The recursion (13) holds for any , i.e.,
Substituting (14) into (13), we obtain
Continuing this procedure recursively, we finally obtain,
The straightforward calculations of give
such that for or , we obtain and , .
By (16) and (17), the general formulas for can be calculated by induction for simple arithmetic functions and such that , ,
and denotes a real constant, e.g., , that gives
Another example of arithmetic functions that result in , , are those where in (18) or , e.g., and .
In general case of , the formula for for an arbitrary may be difficult to recognize from its partial expressions, e.g., for ,
In Section 5.2.1, Formula (133), we show that in (19) come as coefficients in the series expansion of the function, involving logarithmic and hypergeometric functions.
Remark 2.
We make use of the representation (20) in Section 2.1 when studying the asymptotics of renormalization functions for universality classes with (Lemma 2) and (Lemma 4).
2. Renormalization Function with Simple Scaling
Define the renormalization function as a ratio of two summatory functions
Substituting (6) into (21), we obtain its asymptotic behavior
where and are defined according to (15) as follows:
If both numerical series and converge when , then
What can be said about the convergence of without knowing exactly the multiplicative function ? Formulas (22) and (23) for and indicate that most of the information is hidden in the asymptotics and .
Substitute into (22) and obtain
Regarding , which is responsible for the error term in , note that according to the definition (7), we obtain . Applying this inequality to Formula (23),
and substituting into the last expression, we obtain an estimate,
Section 2.1 and Section 2.2 present a detailed analysis of the convergence of and for multiplicative functions of several universality classes. We start with a certain class of and, assuming only , prove that the convergence of implies the convergence of to zero.
Proposition 1.
Let be given in such a way that , and let be convergent. Then, , in each of the cases,
Proof.
Keeping in mind and comparing (25) and (27), we conclude that if is convergent when and , then is also convergent when and . Substituting this into (26), we obtain
which completes the proof if . Indeed, if is positive and converges, then the r.h.s. in (28) converges to zero as does . Applying similar reasoning to the other two cases (2) and (3), we completely prove the proposition. □
Table 1 shows when the first item in Proposition 1 can be applied: this is the inverse Dedekind function: , and by (18) . However, neither the Euler totient function nor its inverse can be studied using Proposition 1, which is a rather weak statement.
The convergence of implies a zero limit of , , over a much wider range of varying degrees and . Indeed, to ensure that converges to zero, it is not necessary to require to converge in (26), but it is sufficient to allow to grow at a rate less than . However, this would require more assumptions about . In the following Section 2.1 and Section 2.2, we study the convergence problem in more detail and prove the main result of this section in Theorem 1.
2.1. Convergence of
In this section, we study the convergence of when . The conditions imposed on provide convergence of . In this section and the next, we repeatedly make use of the squeeze () theorem [47], which is also known as the pinching or sandwich theorems.
Lemma 1.
Let a function , , , be given and let there exist two numbers and and an integer such that for all . Then,
Proof.
First, consider given in (25) when , , i.e., is a nonnegative integer. After binomial expansion in (25), we obtain
Focus on the inner sum
and prove that the sum in (31) is convergent absolutely.
To find an estimate for , we must consider the last sum in the interval where inequality holds. However, due to a prefactor , , summation over the interval does not contribute to the limit as and does not change the convergence of the entire sum (31). Then,
where . Denote and consider the sum in the r.h.s. of (32),
where and are the polylogarithm and the Hurwitz–Lerch zeta function [48], respectively,
Keeping in mind the asymptotics of , , for fixed s and z (Thm.1, [49]), , and combining it with (31) and (33), we get
Since the polylogarithm , , is a bounded rational function in z when , then for , the function is also bounded. Thus, converges to zero and, by (30) and (31), the limit (29) holds.
Extend this result on the entire set of nonnegative real numbers . In order to do that, we make use of the theorem and start with trivial inequalities,
which, due to (25), implies the following relations:
From the proof of convergence of with nonnegative integer degrees and by (37) and by the theorem, it follows that converges with real . □
Lemma 1 can be applied to the totient functions and their inverse with functions and calculated in (18).
Lemma 2.
Let a function , , be given and let there exist two numbers and and an integer such that for all . Then, (29) holds.
Proof.
Consider given in (25) when , , i.e., is a negative integer. To avoid its divergence at , we use representation (20) in Remark 2,
where and were defined in (20).
Estimate when , and . Note that the last term in (38) does not contribute to the asymptotics of when and can therefore be omitted in what follows. We use an identity
and represent (38) as follows:
Note that the following inequality holds:
Substitute (42) into (41) and keep in mind that due to the prefactor in the r.h.s. of Equation (41) the same convergence of holds at intervals and (see discussion in the proof of Lemma 1). Then, we arrive at the following estimate:
The rest of the proof follows by applying the same arguments of asymptotics of the Hurwitz–Lerch zeta function, as it was performed in Lemma 1,
By comparing the r.h.s. in (43) and (35), we conclude that is convergent to zero when . Thus, by (40) the limit (29) holds for .
2.2. Convergence of
In this section, we consider the convergence of , , defined in (22) and responsible for the contribution of the error term to .
Lemma 3.
Let a function , , be given and let there exist two numbers , and integer such that for all , then
Proof.
Denote and make use of a simple inequality, when , . Formula (26) can be rewritten as follows:
where . Keep in mind that due to the prefactor in (46), the same convergence of the r.h.s. in (46) holds at intervals and (see discussion in proof of Lemma 1).
Further calculations depend on the sign of . If , then
If , then
Finally, if , then
Require now that all r.h.s. in (47), (48) and (49) converge to zero when . Regarding the first case (47), this always holds because by (8) if , then , and if , then , so the r.h.s. in (47) is a decreasing function. So, this leads to the requirement, . In two other cases, we have the following necessary conditions:
Summarizing the necessary conditions (50), (51) and , we conclude that the numerical series is convergent to zero absolutely when and irrespectively to the sign of if . This proves Formula (45). □
Lemma 4.
Let a function , be given and let there exist two numbers and and an integer such that for all , then (45) holds.
Proof.
Consider given in (27) and, according to Remark 2, rewrite it as follows:
where the upper bound in the sum is taken in order to avoid its divergence and A is defined in (38); for more details, see the proof of Lemma 2, formula (38).
The last term in (52) does not contribute to the asymptotics of when and can be skipped. Indeed, if , , it converges to zero when ; in the case , according to (8), we have or , that again makes it irrelevant due to the prefactor in formula (26) for . Apply an inequality (42) in the range ,
and substitute it into (52)
If , we apply to (53) the constraints on and substitute the result into (68),
By comparing (54) with (46) from Lemma 3, we obtain the following, according to (47)–(49):
Thus, by (55)–(57) and inequalities , , the series is convergent to zero when , irrespective of the value of .
Consider another case and compare Formulas (38) and (52) for and , respectively. A difference in degrees, and , does not break the main result of Lemma 2: only the first leading term in (40) is survived when . When we apply it to (52) and make use of constraint on , we obtain
where . Substituting the last estimate into (68), we obtain
Recall that by (8), the degrees of the error term satisfy: if then . Thus, by (58), the series converges to zero when , which proves Lemma. □
Let us summarize the results of four Lemmas 1–4 on the convergence of the numerical series and .
Theorem 1.
Let a function be given with and satisfying (8), and let there exist two numbers , and an integer such that for all . Then,
Proof.
By Lemmas 1 and 2, if there exist two numbers and and an integer such that for all , then converges to in the whole range (8) of varying parameters and . On the other hand, according to Lemmas 3 and 4 under the same sufficient conditions, the numerical series converges to zero in the same range (8) of varying parameters. Then, according to (24), we arrive at (59). □
There are a few questions about the convergence of and that have been left open beyond the scope of Theorem 1. First, this is a problem of necessary convergence conditions that requires further discussion. Another question arises in view of convergence to zero of : it can happen that for some , both renormalization functions and are convergent to nonzero values, while is satisfying less strong conditions than those given in Theorem 1. Thus, the following question has been left open.
Question 1.
Does the error term contribute to the renormalization function , and which multiplicative arithmetic functions can give an affirmative answer?
2.3. Rational Representation of Renormalization Function
In Section 2.1 and Section 2.2, we find requirements sufficient to make converge and equal to zero. These conditions are presented through the characteristic functions given recursively in (16). Their straightforward formula (17) look cumbersome and lead in certain cases to rather complex expressions, e.g., (19). That is why, in this section, we give another representation for avoiding the use of .
Substituting (16) into (59), we obtain an infinite series for ,
Recasting the terms in the last expression, we obtain
Introduce two numerical series and
and assume that they are convergent. Then, by a comparison of (60) and (59), we obtain
if the denominator in (62) does not vanish. In short, this can be written as follows: . However, we prefer to stay with (62); otherwise, one can make a mistake in the calculations, e.g., , , and , but .
Formula (62) gives a rational representation of the renormalization function that is free of intermediate calculations of . What can be said about the convergence of in terms of ?
Theorem 2.
Let a function be given and let there exist two numbers and and an integer such that for all . Then, is convergent in accordance with (62) if .
Proof.
Table 3 presents different multiplicative functions and their corresponding parameters , , , and . All functions satisfy the constraints of Theorem 2 for .
Table 3.
Multiplicative functions and their corresponding parameters , , , and .
Regarding the convergence of and , defined in (61), we present an example that shows that the renormalization function can exist even when both and are divergent. Consider , where , and obtain
Here, the conditions of Theorem 1 are satisfied for all , and only the first term is left non-zero in series (59). Both and are divergent, e.g., , and, therefore, Theorem 2 cannot be applied. In other words, Theorem 1 has a much wider area of application than Theorem 2. In the following sections, we use both theorems.
3. Multiplicativity of Renormalization Function with Complex Scaling
In this section, we study the renormalization of a summatory function when the summation variable k is scaled by a product with n distinct primes . Consider and find its governing functional Equation (64).
First, write the relationship between two summatory functions with two different summands, and , where . It is similar to that given in (15) and follows from the latter by replacing , i.e.,
Next, repeat this procedure to reduce the scale by for the summatory function that appeared in the r.h.s. of (63) and substitute it again into (63),
Continue to reduce the scales in a consecutive way for the next summatories and obtain, finally,
Define new renormalization functions,
and find their representations through the characteristic functions , , and the degrees and of the leading asymptotics and , respectively. Following an approach developed in Section 2, represent as a sum
where , , are analogous to those given in (22) and (23). We substitute and , given in (8), and obtain formulas similar to those given in (25)–(27). Here they are,
where a base c is chosen in such a way that so that the upper summation bound is correspondent to inequality, . Regarding , we have an upper bound
where
Keeping in mind theorem and its usage in Section 2.1 and Section 2.2, we assume throughout this Section . The extension to non-integers and is trivial and can be done using Lemmas 1 and 2, and therefore will be omitted. In the next sections, we prove several statements about and that are analogous to Lemmas 1–4 in Section 2. In this regard, it is important to use the same sufficient conditions that were used in these lemmas.
3.1. Convergence of
Lemma 5.
Let a function , , , be given and let there exist two numbers and and an integer such that for all . Then,
Proof.
Exponentiating the binomial in (67), we obtain
where
Find an estimate for ,
where . One more inequality reads
where is defined in (33). Combining the two last inequalities together, we obtain
Substituting the asymptotics (35) of into (73), we obtain
Repeating the final remarks in proof of Lemma 1 on the asymptotics of the polylogarithm , we conclude that is convergent to zero when . Then, keeping in mind the representation (71) for and running the upper bound of the summation to infinity, we conclude that the limit (70) holds. □
Lemma 6.
Let a function , , , be given and let there exist two numbers and and an integer such that for all . Then, (70) is satisfied.
Proof.
Here, we follow the keyline in the proof of Lemma 2 and, according to (20) in Remark 2, start with representation of , avoiding its divergence at ,
Making use of identity (39), we obtain
where and
Making use of inequality (42) and constraint, imposed on
exponentiate the binomial in (77) and obtain
where . Exponentiating the binomial in the last expression, we obtain
The asymptotic behavior in N of the last expression is completely determined by its inner sum in with respect to its prefactor . This behavior can be studied following the corresponding part in (72) of the proof in Lemma 1,
Keeping in mind the prefactor and the last asymptotics (78), the upper bound for can be performed in an infinitely small way, i.e., it is convergent to zero when .
3.2. Convergence of
Lemma 7.
Let a function , , be given and let there exist two numbers and and an integer such that for all , then
Proof.
Denote and make use of an inequality when , . Substituting constraints on into (68), we obtain
and . Focus on the sum and estimate it in three cases, , and .
Let , i.e., , then accounts for a number of integral points (vertices with integer coordinates) in the n-dim simplex, or corner of the n-dim cube, defined as follows:
The simplex has one orthogonal corner and edge sizes along the ith axis. The number is described by the Ehrhart polynomial [50] and, when , it has a leading term coinciding with simplex volume,
Substituting (81) into (80), we obtain
By (82) and inequality , we conclude that is convergent to zero when irrespectively to the value of .
Consider the case and estimate and ,
By (83), the term is also convergent to zero when .
In Lemmas 8 and 9, we consider two different cases, and , separately.
Lemma 8.
Let a function , , be given and let there exist two numbers and and an integer such that for all . Then, the limit (79) is satisfied.
Proof.
According to (20) in Remark 2, represent avoiding its divergence at ,
and make use of inequality (42) in the range ,
Substituting (86) into (85) for , we obtain
Apply to (87) the constraints on and substitute the result into (68),
By comparing (88) with (80) from Lemma 7, we obtain according to (82), (83), and (84)
Thus, by (89) and inequality , a series is convergent to zero when irrespectively to the value of . The same conclusion (79) about the convergence of this series holds due to (90) when . □
Lemma 9.
Let a function , , be given and let there exist two numbers and and an integer such that for all . Then, the limit (79) is satisfied.
Proof.
This case has to be treated more precisely than that in Lemma 8. Rewrite (85)
and compare it with expression (75) when . Changing the powers of to does not violate the main result of Lemma 6: Only the first leading term in (76) is preserved as . When we apply it to (91) and make use of the constraint on , we obtain
where . Substituting the last estimate into (68), we obtain
Recall that by (8), the degrees of the error term satisfy the following condition: if , then . Thus, by (92) the series converges to zero when , which proves the lemma. □
We combine Lemmas 5–9 on the convergence of , , and, according to (66), arrive at an analog of Theorem 1 in the case of scaling by .
Theorem 3.
Let a function be given with and satisfying (8) and let there exist two numbers and and an integer such that for all . Then,
Combining Theorems 1 and 3, we arrive at an important consequence that manifests the multiplicative property of the renormalization function.
Corollary 1.
Under the conditions of Theorem 3, the following holds:
3.3. Asymptotics of Summatory Functions
In this section, we calculate the summatory function and find its asymptotics by applying Corollary 1. According to the definition of a summatory function, we obtain
where indices i, j, , and account for all primes such that . Thus, according to the definition of the summatory function with scaled summation variable, we obtain
where . Consider asymptotics (omitting the error terms) of three summatory functions when ,
Combining (96) and the 2nd formula in (95), we obtain
Calculation of and is a difficult numerical task. Consider a special case if can be given in a closed form, namely if , that is, . Consider the third asymptotics in (96) and, according to Corollary 1, find its limit when ,
Another special case comes when is a completely multiplicative arithmetic function, i.e., . That leads to the following equalities: and . We illustrate this statement and formula (98) in Section 4.2.
4. Renormalization of Dirichlet Series and Others Summatory Functions
In this section, we extend the renormalization approach to summatory functions of more complex structures. They involve the summatory functions with summands given by and summation variable k scaled for every multiplicative function by , . The case of the Dirichlet series is special when and . We also study the renormalization of summatory functions with summands given by .
4.1. Renormalization of Summatory Functions
Start with a summatory function
where denotes a tuple , and use a standard notation . Derive for F a functional equation following the approach developed in Section 1.2 and start
where and are defined in Section 1.2. Rewrite the last equality
which is similar to (13). The corresponding counter-partner for its general version (14) reads,
Combining the last equations of the running index together, we arrive at the functional equation for the summatory function,
where
Formulas for the first read
such that for or , we have, and , .
Find the analog to Formula (18) when , , and denotes the real constant. By (100) or (101), such formulas for can be calculated by induction,
E.g., in the case of the Euler and Dedekind totient functions, we have
Define new renormalization functions,
By comparing formulas (99)–(101) with (15)–(17), respectively, and the definition of (102) with (5), we conclude that all results on the renormalization of summatory functions in Section 2 can be reproduced for summatory functions with a few necessary alterations.
In Theorem 4, we give (without proof) a sufficient condition for convergence of the asymptotics of the renormalization function . Its proof does not use new ideas and can be given following Lemmas 1–4 for the renormalization function . For this reason, we omitted this proof here.
Theorem 4.
Let n multiplicative functions be given such that satisfies (8). Let there exist two numbers and and an integer such that for all . Then,
To study in a way similar to the study of in Section 2, we find another representation for that is different from (103). Substitute (100) into (103) and obtain
Recasting the terms in the last expression, we obtain
Thus, by comparison the last expression with Formula (103), we obtain
where two numerical series
are assumed to be convergent, and a denominator in (104) does not vanish. Formula (104) gives a rational representation of the renormalization function free of intermediate calculations of .
4.2. Renormalization of the Dirichlet Series
The Dirichlet series
with a scaled summation variable is a special case of the summatory function , discussed in Section 4.1, when , , , , and , i.e., .
According to Theorem 4 and Formula (104), if there exist two numbers and and an integer such that for all , then
where is a standard Dirichlet series for arithmetic function . Note that according to the definition (102) of the renormalization function , the following equality holds for the Dirichlet series: .
We present four examples of the Dirichlet series for the Möbius , Liouville , Euler , and divisor functions. Their standard Dirichlet series converge to the values presented in Table 2.
- Consider two Dirichlet series for the -function, and , , and calculate their scaled versions. Since , , we consider here only the case and have , . Then,Calculate the Dirichlet series , , according to (98)That results in inequalities, and . A normalized product for in (108) is known as the Feller–Tornier constant [51],
- Let us consider the Dirichlet series for the -function, , , and calculate its scaled version. Keeping in mind , we obtain . Calculate the Dirichlet series in accordance with (98)i.e., in accordance with the fact that is completely multiplicative.
- Consider the Dirichlet series for the -function, , , and calculate its scaled version. Keeping in mind , we obtain
- Let us consider two Dirichlet series for the -function, namely, and , , and calculate its scaled version. Keeping in mind , we obtain
We finish the section with the relationship between characteristic functions for multiplicative arithmetic functions and
which is followed by (16) and (17) if we substitute the identity .
The relation (112) is used in Section 5.3 when calculating the renormalized Dirichlet series for the Ramanujan function.
4.3. Renormalization of Summatory Functions
Consider the summatory function and derive its governing functional equation following the approach developed in Section 1.2,
which can be rewritten as follows,
In a general case (), Equation (113) has the form
Combining the last equations of the running index , we arrive at the functional equation
The straightforward calculations of give
If , then Formulas (114)–(116) are reduced to (15)–(17).
Define new renormalization functions,
By comparing formulas (114)–(116) with (15)–(17), respectively, and definition (102) with (117), we conclude that all results on the renormalization of summatory functions in Section 2 can be reproduced for summatory functions with a few necessary alterations.
In the following, we present (without proof) Theorem 5 on a sufficient condition to converge of asymptotics of the renormalization function . As in the case of Theorem 4 on the renormalization function , here, the proof of Theorem 5 does not use new ideas and can be given following Lemmas 1–4 for the renormalization function . For this reason, we skip it here.
Theorem 5.
Let a function be given and let there exist two numbers , and an integer such that for all . Then,
Recasting the terms in the last expression, we obtain
Thus, by comparing the last expression with Formula (103), we obtain
where two numerical series
are assumed to be convergent, and a denominator in (119) does not vanish.
We apply formulas (119) and (120) to calculate the following Dirichlet series , keeping in mind [1] the standard Dirichlet series , i.e., . We reduce our problem as follows:
and calculate the renormalization function in (121). According to (120), we obtain
Thus, following (119) and (121), we arrive finally at
5. Renormalization of the Basic Summatory Functions
In this section, we calculate the renormalization function for various summatory functions presented in Table 1 and Table 2. For this purpose, almost all summatory functions are considered by Theorem 2 and the corresponding formulas (60) and (61), based on the calculation of . However, in Section 5.3, we present another approach, which follows Theorem 1, and calculate the characteristic functions for the Ramanujan function.
5.1. Renormalization of Summatory Totient Functions
We apply the renormalization approach to summatory totient functions and the Dirichlet series involving the Jordan , Euler , and Dedekind functions and their combinations. For the first two functions, we use the technical results given in [52]. When discussing universality classes , we omit hereafter the error term .
5.1.1. Euler Function
Denote the asymptotics of the summatory functions in three different ranges of varying parameters and , which is given in [52],
such that
In the case of arbitrary u and v, many expressions for , and can be found in [1,42,43,53,54]. Here, we focus on the renormalization functions that do not specify explicit expressions. According to [52], if , then , , and are bounded from above as follows: if , then
and if , then
Calculate renormalization functions according to (60) and (61),
By (123) and (124) we have an equality in all ranges of u.
5.1.2. Jordan and Dedekind Functions
Regarding the Jordan function , asymptotics of the summatory functions , can be given in three different ranges of varying parameters [52],
Calculate their renormalization functions in accordance with (60) and (61)
Consider other summatory functions in three different ranges of varying parameters and and note that
The explicit asymptotics for some summatory functions are given in [23,54]. Calculate renormalization functions according to (60) and (61),
We finish this section with the summatory , .
The asymptotics
is known due to [54]. Keeping in mind , calculate the corresponding renormalization function,
which does not depend on m.
5.2. Renormalization of Summatory Nontotient Functions
Here, we apply the renormalization approach to summatory functions and Dirichlet series involving the divisor , prime divisor , Piltz , Abelian group enumeration functions, Ramanujan sum , and some of their combinations.
5.2.1. Divisor Function and Prime Divisor Function
The divisor function is defined as the sum of the ath powers of the divisors of k. For , we have
5.2.2. Piltz Function and the Sum of Two Squares Function
The Piltz function is defined as a number of ways to write the positive integer k as a product of n (positive integer) factors. For , we have . By definition, and .
- ,
- ,Note that coincides with , given in Section 5.2.1.
- ,and in accordance with (131).
- ,such that in accordance with (133).The number of representations of k by two squares, allowing zeros and distinguishing signs and order, is denoted by . If , then
- ,
- ,
5.2.3. Ramanujan Sum and Abelian Group Enumeration Function
Ramanujan’s sum , is a multiplicative arithmetic function, which is defined by formula , such that if and . If , then
Consider the Dirichlet summatory functions for ,
where n is kept constant. They converge to . We find a rescaled summatory function .
Let a number n is such that but , , and , then
Thus, we get
If , then by (147), we have , and, therefore, . If and the number n is not divided by p, i.e., , then .
Finally, if and , then
Abelian group enumeration function accounts for the number of (isomorphism classes of) commutative groups of order k. By definition, it satisfies , , where denotes a partition function [55] with an explicit expression given in [56].
- ,
- ,
5.3. Renormalization of Summatories Associated with Ramanujan’s Function
The Ramanujan function is a multiplicative arithmetic function that is mainly known due to its generating function,
For our purpose of calculating the renormalization function for any summatory function with , including the function, it is important to know its recursive relation for ,
Then, making use of Formulas (61) and (62) we can arrive at due to the finite computational procedure. However, the representation (151) is too difficult to make it worthwhile, so we choose another way to find , namely by Theorem 1 and by calculating the characteristic functions .
Start with identity for the function [9]
The following proposition is based on recursion (16) and the last identity.
Proposition 2.
Proof.
Calculating the four first expressions of , one can verify that (153) holds, i.e., . We prove by induction that , .
Indeed, let for ; then, keeping in mind (16) and (152), write this equality in another representation,
Making use of (152) and (154), write the next term ,
and calculate a difference,
By identity (152), the r.h.s. in equality (155) can be reduced as follows:
Comparing the last equality with (154), one can recognize the function in the brackets of the last expression. Then, combining this fact with (155) and assumption (154), we obtain
Thus, the proof is finished. □
Corollary 2.
The Ramanujan τ function satisfies an identity,
The last statement implies two inequalities that can be easily verified. The first inequality looks pretty simple, . Regarding the second inequality, let and be chosen in such a way that , e.g., , , etc. Then, the following inequality holds,
In the case , let us combine (158) with Deligne’s inequality
for the Ramanujan functions [57] and obtain
Note that the upper bound in (160) is stronger than the bound which came by combining (152) and (159) for arbitrary prime p. Indeed,
However, according to (159),
Numerical calculations show that inequality (160) is also valid for the first 474 primes, regardless of whether the requirement is met or not. Inequality (160) is violated for the first time for the 475th prime,
5.3.1. Renormalization of the Ramanujan Dirichlet Series
Recalling the Ramanujan conjecture on the function, , proved by Deligne [57], consider the Dirichlet series , where . The series converges absolutely if . By Theorem 1 and relationship (112) between characteristic functions for and , the renormalization function reads
Applying Proposition 2 to (162), we obtain
Making use of the relation between the renormalization function and a ratio between scaled and unscaled Dirichlet series, given in Section 4.2, we finally obtain
Formula (163) gives rise to several special cases, e.g.,
5.3.2. Renormalization Functions and
In this section, we also renormalize two summatory functions, and , presented in Table 1 and Table 2. For this purpose, we proceed to calculate the characteristic functions . Unlike described in Proposition 2, this case is not so simple, but it still allows finding general expressions.
Proposition 3.
Proof.
Let us prove the proposition by induction. First, we calculate the first five expressions of and verify that (164) holds. Let the proposition be true for , then prove that
Keeping in mind (16), calculate ,
By (152), the first four terms in the above equality are reduced to a single term,
which simplifies further calculations,
where
Performing calculations in the brackets by (152), we obtain
where
Comparing (166) and (167) and continuing to contract the terms in brackets, we obtain
Combining both equalities, we arrive at (165), and the proposition is proven. □
Calculate the renormalization function . According to Table 1, we obtain , i.e., . Then, by Theorem 1 and Proposition 3, we obtain
such that . In the case , we obtain
Finally, calculate the renormalization function , keeping in mind that, according to Table 1, we have . Using the relationship (112) between characteristic functions and , build the renormalization function as it was performed in formula (162) for the Ramanujan Dirichlet series,
By Proposition 3 and the above formula, we obtain
6. Numerical Verification
In this section, we verify the renormalization approach for the summation of multiplicative arithmetic functions with a scaled summation variable. Consider a relative deviation between rescaled and nonscaled summatory functions,
where the renormalization function is calculated according to Theorem 1. In Figure 1, Figure 2 and Figure 3, we present plots of for six different arithmetic functions. These figures show that the formulas for renormalization functions work with high precision.
Figure 1.
Plots of (a) and (b) in the range .
Figure 2.
Plots of (a) and (b) in the range .
Figure 3.
Plots of in the range (a) and (b) in the range .
7. Concluding Remarks
The importance of asymptotic summation of divergent series of arithmetic and non-arithmetic functions with a scaled summation variable was recognized in statistical physics in the 1960s–1970s. The calculation of lattice partition functions determines critical phenomena in such models, e.g., the Ising, Potts, and XXY models. Just then, 50 years ago, a summation problem was resolved by elaborating [16,17] an approach that connects the sums of two adjacent scales by a renormalization equation.
In the present paper, we apply the renormalization ideas of statistical physics to calculate asymptotically summatory multiplicative arithmetic functions with a scaled summation variable, that, to the best of our knowledge, have not been discussed in the literature. The main assertion of this paper is given in Formula (5), where the impact of scaling with a prime power of a summation variable k in is reduced to renormalization of the summatory function without scaling. For the ratio , we call the renormalization function and study its asymptotics when .
We study the asymptotic renormalization function in various aspects: (a) its existence as a convergent numerical series, (b) its multiplicativity property without specifying the function , (c) formulas for for corresponding Dirichlet series, (d) formulas for for different arithmetic functions , (e) the multiplicative property of the renormalization functions with complex scaling of a summation variable (see Corollary 1, Section 3.2).
We calculate for basic multiplicative arithmetic functions, such as Euler , Dedekind , Jordan , Liouville , Piltz , divisor , prime divisor , Ramanujan , and many others. Many non-multiplicative arithmetic functions, such as the prime counting function , Chebyshev , Mangoldt , and the partition function , were left beyond the scope of this article. The study of their summation functions is a challenging task and may require further research.
In this regard, another issue worth mentioning is the possibility of applying asymptotic summation of divergent series by renormalization in models with a multiscale structure. Such structures can be found in various fields of science, such as fluid mechanics (an evolution of turbulence cascade), porous media and composites (microscopic scales at the level of pores and grains), computer science (machine learning, deep learning, and various fields of data analysis), and astrophysics (a scale-setting procedure for general relativity with renormalization group corrections).
Funding
This research received no external funding.
Data Availability Statement
The contributions presented in this study are included in the article.
Acknowledgments
The useful discussions with A. Juhasz, A. Mann, and Z. Rudnick are highly appreciated.
Conflicts of Interest
The authors declare no conflicts of interest.
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