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New York J. Math. 8(2002)63–83.

Asymptotic Density in Combined Number Systems

Karen Yeats

Abstract. Necessary and sufficient conditions are found for a combination of additive number systems and a combination of multiplicative number systems to preserve the property that all partition sets have asymptotic density. These results cover and extend several special cases mentioned in the literature and give partial solutions to two problems in [6].

Contents

1. Introduction 63

2. Preliminaries 64

3. The nice cases 66

3.1. Additive 66

3.2. Multiplicative 70

4. The general situation 74

4.1. Additive 74

4.2. Multiplicative 78

References 82

1. Introduction

The recent ancestry of the problems examined in this paper began in 1937 when abstract number systems with real valued norms were introduced by Arne Beurling [5] for the purpose of finding minimal sufficient conditions to prove prime number theorems. This is also the subject of Paul Bateman and Harold Diamond’s article [2]. John Knopfmacher focused on density questions for classes of well known algebraic and topological structures in his books [12] and [13].

Received June 27, 2001.

Mathematics Subject Classification. Primary 11N45, 11P99, Secondary 05A16, 11N80.

Key words and phrases. additive number system, multiplicative number system, asymptotic density, partition set, ratio test, regular variation.

Thanks to Stan Burris, a patient and meticulous supervisor, to the referee for his interest and detailed comments, and to NSERC for their Undergraduate Student Research Award which supported this research.

ISSN 1076-9803/02

63

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Interest in number systems with the property that is central to the discussion below, namely that all partition sets have asymptotic density, started with Kevin Compton’s work relating combinatorics to logic [9], [10], [11]. He proves logical limit laws on certain classes of structures using enumeration methods. Stanley Burris’s bookNumber Theoretic Density and Logical Limit Laws [6] pulls the abstract num- ber systems and the logical asymptotic combinatorics together.

In [6] Burris poses the following problem (Problem 5.20): Find necessary and sufficient conditions on two additive number systemsA1 and A2 for all partition sets ofA1∗A2to have asymptotic density. He also poses the corresponding problem for multiplicative number systems (Problem 11.25): Find necessary and sufficient conditions on two multiplicative number systemsA1 and A2 for all partition sets ofA1∗ A2to have global asymptotic density.1

This paper considers these problems whenA1andA2themselves have the prop- erty that all partition sets have asymptotic density. Elegant and popular special cases for additive and multiplicative systems will be considered first, followed by the general cases.

2. Preliminaries

Definition 1. N={0,1,2, . . .}.

Definition 2. Anumber system

A= (A,P,∗,e, )

consists of a countable free commutative monoid (A,∗,e), wherePis the nonempty set of indecomposable elements, and a norm.

Definition 3 ([6], 2.5 and 2.7). An additive number system is a number system for which is anadditive norm, that is, a mapping fromA to the nonnegative integers such that a= 0 iff a=e,a∗b =a+b, and for everyn∈Nthe set{a∈A:a=n}is finite.

Definition 4 ([6], 8.1 and 8.2). Amultiplicative number system is a number sys- tem for which is amultiplicative norm, that is, a mapping fromAto the positive integers such thata= 1 iffa=e,a∗b=a·b, and for every positive integer nthe set{a∈A:a=n} is finite.

Definition 5 ([6], 2.12 and 2.28). Given a number systemA, for each setBA the (local) counting functionofBis

b(n) = {b∈B:b=n}, and theglobal counting function ofBis

B(x) =

n≤x

b(n).

Notice thatB(x) is nondecreasing. As special cases we havea(n) andp(n), the (local) counting functions ofA andP, respectively, andA(x), the global counting function ofA. We will refer toa(n) andp(n) as the (local) counting functions ofA and toA(x) as the global counting function ofA.

1Burris in [6] uses + for the combination of additive number systems and×for the combination of multiplicative number systems.

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Definition 6 ([6], 3.21, 9.20). ForAa number system andB1, . . . ,Bk A, let B1∗ · · · ∗Bk = {b1∗ · · · ∗bk:bi Bi}.

Definition 7 ([6], 3.23, 9.22). ForAa number system andBA, B0 = {e}

Bm = B ∗ · · · ∗B

mtimes

form >0 B≤m = B0∪ · · · ∪Bm form≥0 B≥m =

n≥m

Bn form≥0.

Definition 8 ([6], 3.25, 9.24). Given a number systemAa subsetBofAis apar- tition set ofAifBcan be written in the form

B = Pγ11∗ · · · ∗Pγkk

where P1, . . . ,Pk is a finite partition of the set Pof indecomposables of A, and eachγi is of the formm,≤m, or≥m.

Definition 9 ([6], 4.14, 10.4). Given number systems A1 and A2, both additive or both multiplicative, define A1∗ A2 to be the number system whose underlying monoid is the direct product of the two monoids, and ifA1andA2are additive then the norm is the sum of the coordinate norms, that is, (a1,a2) =a11+a22, while ifA1andA2are multiplicative then the norm is the product of the coordinate norms, that is,(a1,a2)=a11· a22.

Note thatA1∗ A2 is additive ifA1 and A2 are additive and is multiplicative if A1 andA2are multiplicative. The set of indecomposables ofA1∗ A2is

{(p1,e) :p1P1} ∪ {(e,p2) :p2P2}.

Let ai(n) and pi(n) be the local counting functions ofAi for i = 1,2, and let a(n) andp(n) be the local counting functions ofA1∗ A2. Then

p(n) = p1(n) +p2(n)

a(n) =







i+j=n

a1(i)a2(j) forAan additive number system

i·j=n

a1(i)a2(j) forAa multiplicative number system.

Lemma 10. LetA=A1∗A2be a multiplicative number system and letB=B1×B2

whereBiAi. Then

B(x) =

1≤k≤x

b1(k)B2(x/k).

Proof. Theorem 3.10 from [1].

Lemma 11. LetA1andA2be number systems both additive or both multiplicative.

Then any partition setB ofA1∗ A2 can be written in the form B= k

j=1

B1j×B2j

for somek≥1 where the union is disjoint and eachBij is a partition set ofAi.

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Proof. The proof is routine and thus is left to the reader to complete by using the definitions ofm, ≥m, and≤m, and the fact that if B, C, and Dare sets of numbers from a number system, then (BC)D= (BD)(CD).

3. The nice cases

In this section we will deal with the most popular additive and multiplicative sys- tems, namely the reduced additive systems and the strictly multiplicative systems.

In Section4we look at the general situation.

3.1. Additive. Throughout the additive subsections of this paper A,A1, andA2

will denote additive number systems. The most desirable of the additive systems are those which are reduced.

Definition 12 ([6], 2.41). Forf :NNthesupport off is suppf(n) = {n∈N:f(n)>0}.

Definition 13 ([6], 2.43). Aisreduced if gcd(suppp(n)) = 1.

Notice thatA1∗ A2may be reduced even whenA1andA2are not. However in this subsection we will only consider reduced systemsAi.

Definition 14 ([6], 2.12). GivenA, for eachBAthegenerating series ofBis B(x) =

n≥0

b(n)xn.

Definition 15 ([6], 1.24 and 3.18). Given ρ≥0, a real-valued function f(n) that is eventually defined onNand eventually positive is in RTρ if

n→∞lim

f(n1) f(n) = ρ, that is, the radius of convergence of

f(n)xn can be found by the ratio test.

A power series is inRTρ if the sequence of coefficients is inRTρ. Ais inRTρ if a(n)∈RTρ, which can only occur ifa(n) is eventually nonzero.

Definition 16 ([6], 3.1). ForBA, theasymptotic densityδ(B) ofBis as follows, provided the limit exists:

δ(B) = limn→∞

a(n)=0

b(n) a(n). We will use the following notational conventions.

The radius of convergence of the generating function Ai(x) of Ai is ρi, the counting functions are ai(n) andpi(n), and when defined δi(Bi)is the asymptotic density of Bi with respect to Ai for Bi Ai. For A the preceding apply with the removal of the subscripti.

SinceP,P1, andP2 are nonempty by definition, we know thatρ,ρ1, andρ2 are in [0,∞). From Lemma 2.23 of [6] we know thatρ,ρ1, andρ2are in [0,1].

Lemma 17. Let A=A1∗ A2 andB=B1×B2 whereBiAi. Then:

1. B(x) =B1(x)·B2(x).

2.

n≥0

B(n)xn =

n≥0

B1(n)xn·B2(x).

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Proof. Both items follow from Proposition 3.33 of [6]. For the second item notice thatB(n) =

k≤nB1(k)b2(n−k) is the same relation as that which holds between

b(n),b1(n), andb2(n).

Lemma 18. If A=A1∗ A2 thenρ= min{ρ1, ρ2}.

Proof. ρ= min{ρ1, ρ2}by Lemma17sinceA1(x) andA2(x) are power series with

nonnegative coefficients.

Definition 19. Ahas Property I if all partition sets ofAhave asymptotic density.

Ahas Property II ifρ >0,A(ρ) =∞, anda(n)∈RTρ.

Our goal is to analyse when PropertyI holds. Some results of Bell, Bell et al., Burris and S´ark¨ozy, and Warlimont follow; then we will proceed towards the main result of the additive subsection, Theorem28.

Proposition 20 ([6], 3.28). If Ahas Property I thenδ(P) = 0.

Proposition 21 ([3], [15], [4]). Ifδ(P) = 0 thenρ >0 andA(ρ) =∞.

Proposition 22 ([6], 3.30). Ahas Property I and is reduced implies a(n)∈RTρ. Corollary 23. Ahas Property I and is reduced implies Ahas Property II.

Proposition 24. Let A1 and A2 have Property II and be reduced, and let A = A1∗ A2. If ρ1≤ρ2, then:

lim

n→∞

a1(n) a(n) =

0 ifρ1=ρ2 A21)−1 ifρ1< ρ2.

lim

n→∞

a2(n) a(n) = 0.

Proof. For the second item takenlarge enough that a2(n)>0. Then form < n a(n)

a2(n) = n

k=0

a1(k)a2(n−k)

a2(n) m

k=0

a1(k)a2(n−k) a2(n) . So

lim inf

n→∞

a(n)

a2(n) m

k=0

a1(k)ρk2.

NowA12) =∞; so by taking the limit asm→ ∞we get the desired result.

For the first item ifρ1=ρ2 apply the above proof with 1 and 2 interchanged; if

ρ1< ρ2 then apply Schur’s Theorem.2

2By this is meant Schur’s Tauberian Theorem which can be found in [6], 3.42. It states: Let S(x) andT(x) be two power series such that, for someρ0,T(x)RTρ, andS(x) has radius of convergence greater thanρ. Then

n→∞lim xn

S(x)·T(x) xn

T(x) =S(ρ).

IfS(ρ)>0 then this can be expressed as xn

S(x)·T(x)

S(ρ)· xn

T(x).

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Proposition 25. Let A1 and A2 have Property I and be reduced with ρ1 = ρ2. Then A1∗ A2 has Property I and for B a partition set of A1∗ A2 and Bij as in Lemma11we get

δ(B) =k

j=1

δ1(B1j2(B2j).

Proof. LetA=A1∗ A2.

First, consider partition sets of Aof the form B=B1×B2 where each Bi is a partition set ofAi.

From bi(n)/ai(n)→δi(Bi) it follows that for all >0 there is anN such that form, n≥N,

b1(m)b2(n)−δ1(B12(B2)a1(m)a2(n) a1(m)a2(n).

Then, using Proposition24, and the fact that a linear combination rio

a(n) iso

a(n)

, we have

b(n)−δ1(B12(B2)a(n)

=

n j=0

b1(j)b2(n−j)−δ1(B12(B2)a1(j)a2(n−j)

n−N

j=N

b1(j)b2(n−j)−δ1(B12(B2)a1(j)a2(n−j) +

N−1 j=0

b1(j)b2(n−j)−δ1(B12(B2)a1(j)a2(n−j) +

N−1 j=0

b1(n−j)b2(j)−δ1(B12(B2)a1(n−j)a2(j)

a(n) +

N−1 j=0

b1(j)o a(n)

−δ1(B12(B2)a1(j)o a(n)

+

N−1 j=0

o a(n)

b2(j)−δ1(B12(B2)o a(n)

a2(j)

= a(n) +o a(n)

. Thereforeδ(B) =δ1(B12(B2).

Thus for a general partition setBofA δ(B) =k

j=1

δ1(B1j2(B2j)

by Lemma11and Lemma 3.2 from [6]. ThereforeAhas PropertyI.

Lemma 26. If lim

n→∞c(n)/d(n) = >0 andd(n)∈RTρ then c(n)∈RTρ.

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Proof. The hypotheses implyc(n) is eventually nonzero, and then

n→∞lim

c(n−1)

c(n) = lim

n→∞

c(n−1) d(n−1)

d(n) c(n)

d(n−1) d(n) = ρ.

Proposition 27. Let A1 and A2 have Property I and be reduced with ρ1 < ρ2. ThenA1∗ A2 has PropertyI. LetB be a partition set ofA1∗ A2 and letBij be as in Lemma11. Then

δ(B) = k j=1

δ1(B1j)B2j1) A21).

Proof. LetA=A1∗ A2. We knowA1RTρ by Proposition22. ThusA ∈RTρ

by Proposition 3.44 of [6].

Consider partition sets ofAof the formB=B1×B2 whereBiis a partition set ofAi,i= 1,2.

First, supposeδ1(B1)= 0. ThenB1(x)RTρby Lemma26. Thus by Lemma17 we can apply Schur’s Theorem to getb(n)∼b1(n)B21) anda(n)∼a1(n)A21).

Hence

δ(B) = δ1(B1)B21) A21).

Second, suppose δ1(B1) = 0; then for all > 0 there exists an N such that b1(n)/a1(n)< forn≥N. Thus, sinceb2(n)≤a2(n) for all n,

b(n) = n

j=0

b1(n−j)b2(j)

n−N

j=0

b1(n−j)a2(j) +

N−1

j=0

b1(j)o a(n)

by Proposition24

n−N

j=0

a1(n−j)a2(j) + o a(n)

a(n) +o a(n)

which givesδ(B) = 0. Therefore in both casesδ(B) =δ1(B1)B21) A21). Hence for a general partition setBofA

δ(B) = k j=1

δ1(B1j)B2j1) A21)

by Lemma11and Lemma 3.2 from [6]. ThereforeAhas PropertyI.

Theorem 28. Let A1 andA2 have Property Iand be reduced with ρ1≤ρ2. Then A1∗A2has PropertyI and forBa partition set ofA1∗A2andBij as in Lemma11

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we get

δ(B) =











 k j=1

δ1(B1j)B2j1)

A21) if ρ1< ρ2, k

j=1

δ1(B1j2(B2j) if ρ1=ρ2.

Proof. Ifρ1=ρ2 apply Proposition25; otherwise apply Proposition27.

Remark 29. If we assume only that A1∗ A2 has Property I then we can not conclude thatA1andA2have PropertyI. For instance if 1< q1< q2, whereq2is an integer, and we takeA1to be the additive number system withp1(n) =qn1/n2and A2to be the additive number system withp2(n) =q2n, thenp(n) =qn2+qn1/n2= qn2 +O(q1n); so by Theorem 5.17 of [6], based on the asymptotics of Knopfmacher, Knopfmacher, and Warlimont, A1∗ A2 has Property I. However ρ1 = 1/q1 and P1(1/q1)<∞which gives A1(1/q1)<∞; so A1does not have PropertyI.3 3.2. Multiplicative. Throughout the multiplicative subsections of this paper, un- less otherwise specified,A,A1, andA2 will denote multiplicative number systems.

Similarly to the additive situation, the most desirable multiplicative systems are those which are strictly multiplicative.

Definition 30 ([6], 9.39 and 9.48). A is discrete if there is a positive integer λ such thata is an integer power ofλfor anyaA. Aisstrictly multiplicative if it is not discrete.

Strictly multiplicative systems will be the focus of this subsection.

Definition 31 ([6], 8.6). Given A, for each set BA thegenerating series of B is the Dirichlet series:

B(x) =

n≥1

b(n)n−x.

Definition 32 ([6], 7.19 and 9.16). Givenα∈R, a functionf(x) that is eventually defined onR, and eventually positive, is inRVα if for ally >0

x→∞lim f(xy)

f(x) = yα,

that is,f(x) hasregular variation at infinity of index α. Ais inRVαifA(x)∈RVα. Definition 33 ([6], 9.3). ForBA, theglobal asymptotic density ∆(B) ofBis as follows, provided the limit exists:

∆(B) = lim

n→∞

B(n) A(n). We will use the following notational conventions.

The abscissa of convergence of the generating function Ai(x) of Ai is αi, the functions ai(n), pi(n), and Ai(x) are the local and global counting functions, and when definedi(Bi) is the global asymptotic density of Bi with respect to Ai for BiAi. ForAthe preceding apply with the removal of the subscripti.

3This counterexample is inspired by one suggested by the referee.

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SinceP,P1, andP2are nonempty by definition, we know thatα,α1, andα2are nonnegative.

Lemma 34. Let A=A1∗ A2 andB=B1×B2 whereBiAi. Then B(x) =B1(x)·B2(x).

Proof. Apply Proposition 9.30 from [6].

Lemma 35. If A=A1∗ A2 thenα= max{α1, α2}.

Proof. This follows from Lemma34sinceA1(x) andA2(x) both have nonnegative

coefficients.

Definition 36. A has Property I means that all partition sets ofA have global asymptotic density. Ahas Property II ifα <∞,A(α) =∞, andA ∈RVα.

As in the additive case PropertyIis the central property of interest. Some impor- tant results of Burris and S´ark¨ozy, and Warlimont follow; then we will proceed to- wards the main result of the multiplicative subsection, Theorem47. Proposition39 is a recently announced result of Warlimont proving conjecture 9.70 from [6].

Proposition 37 ([6], 9.28). If Ahas Property I then∆(P) = 0.

Proposition 38 ([14]). If ∆(P) = 0 thenα <∞.

Proposition 39 ([16]). If ∆(P) = 0 thenA(α) =∞.

Proposition 40 ([6], 9.50). If Ais strictly multiplicative and has PropertyI then A ∈RVα.

Corollary 41. Ahas PropertyI and is strictly multiplicative impliesAhas Prop- erty II.

We also need a multiplicative analogue of Schur’s Theorem:

Proposition 42 ([6, 9.53]). Givenα∈R, supposeS(x)andT(x)are two Dirichlet series such that T(x) has nonnegative coefficients, T(x)RVα, and the abscissa of absolute convergence ofS(x)is less than α. Let R(x) =S(x)·T(x). Then

x→∞lim R(x)

T(x) =S(α).

If S(α)>0 then this can be expressed asR(x)∼S(α)·T(x).

Proposition 43. Let A1 and A2 have Property II and be strictly multiplicative, and letA=A1∗ A2. Ifα1≥α2, then:

lim

n→∞

A1(n) A(n) =

0 ifα1=α2 A21)−1 ifα1> α2.

lim

n→∞

A2(n) A(n) = 0.

Proof.

A(n)

A2(n) =

i≤n

a1(i)A2(n/i)

A2(n)

i≤m

a1(i)A2(n/i) A2(n)

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for fixedm < n. So

lim inf

n→∞

A(n)

A2(n)

i≤m

a1(i)i−α2.

NowA12) =∞; so by taking the limit asm→ ∞we get the second item.

For the first item, ifα1=α2 apply the above proof with 1 and 2 interchanged;

ifα1> α2 then apply Proposition42.

Proposition 44. LetA1andA2 have PropertyIand be strictly multiplicative with α1=α2. Then A1∗ A2 has Property I. Let Bbe a partition set of A1∗ A2 and let Bij be as in Lemma 11. Then

∆(B) =k

j=1

1(B1j)∆2(B2j).

Proof. LetA=A1∗ A2.

First, consider partition sets of Aof the form B=B1×B2 where each Bi is a partition set ofAi.

Take an >0. LetN be such thatBi(n)i(Bi)Ai(n)< Ai(n) forn≥N andi= 1,2. Notice that

n j=1

b1(j)A2(n/j) = n

j=1

B1(n/j)a2(j), (1)

since both sides are equal to the global counting function ofB1×A2. Then B(n)−1(B1)∆2(B2)A(n)

=

n j=1

b1(j)B2(n/j)1(B1)∆2(B2)a1(j)A2(n/j)

n j=1

b1(j)B2(n/j)2(B2)b1(j)A2(n/j) +

n j=1

2(B2)b1(j)A2(n/j)1(B1)∆2(B2)a1(j)A2(n/j)

=

n j=1

b1(j)B2(n/j)2(B2)b1(j)A2(n/j)

I

+ ∆2(B2)

n j=1

B1(n/j)a2(j)1(B1)A1(n/j)a2(j)

II

by (1).

Applying the triangle equality gives

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TermI

1≤j≤n/N

b1(j)B2(n/j)2(B2)A2(n/j)

+

n/N<j≤n

b1(j)B2(n/j)2(B2)A2(n/j)

1≤j≤n/N

b1(j)A2(n/j)

+

1≤k<N

k+1n <j≤ n k

b1(j)B2(k)2(B2)A2(k)

A(n) +N−1

k=1

B1n

k

−B1 n

k+1B2(k)2(B2)A2(k)

= A(n) +o A(n)

by Proposition 43.

TermII can be treated in the same way. Therefore ∆(B) = ∆1(B1)∆2(B2).

Thus for a general partition setBofA

∆(B) = k j=1

1(B1j)∆2(B2j)

by Lemma11and Lemma 9.4 from [6]. ThereforeAhas PropertyI.

Lemma 45. Let B be a partition set of A. If ∆(B) = 0 and A(x) RVα then B(x)∈RVα.

Proof. B(x) is eventually nonzero, since ∆(B)= 0. Then, for ally >0,

x→∞lim B(xy)

B(x) = lim

x→∞

B(xy) A(xy)

A(x) B(x)

A(xy) A(x)

= lim

x→∞

B(xy) A(xy)

A(x) B(x)

A(xy)

A(x) = yα.

Proposition 46. LetA1andA2 have PropertyIand be strictly multiplicative with α1> α2. ThenA1∗ A2 has PropertyI. Also for Ba partition set of A1∗ A2 and forBij as in Lemma11we get

∆(B) = k j=1

1(B1j)B2j1) A21). Proof. LetA=A1∗ A2.

Consider partition sets ofAof the formB=B1×B2 whereBiis a partition set ofAi,i= 1,2.

First, suppose ∆1(B1) = 0. Then B1(x) RVα1 by Lemma 45. Thus by Lemma 34 we can apply Proposition 42 to getB(x)∼B1(x)B21) and A(x)∼ A1(x)A21).So, asn→ ∞,

B(n)

A(n) 1(B1)B21) A21).

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Second, suppose ∆1(B1) = 0. Then for all > 0 there is an N such that B1(n)/A1(n)< forn≥N. Thus

B(n) =

1≤j≤n/N

B1(n/j)b2(j) +

n/N<j≤n

B1(n/j)b2(j)

1≤j≤n/N

B1(n/j)b2(j) +

1≤k<N

k+1n <j≤ n k

B1(k)b2(j)

1≤j≤n/N

A1(n/j)a2(j) +

1≤k<N

B1(k) B2n

k

−B2 n

k+1

A(n) +

1≤k<N

B1(k)o A(n)

by Proposition43

A(n) +o A(n)

which gives ∆(B) = 0. Therefore in both cases ∆(B) = ∆1(B1)B21) A21). Hence for a general partition setBofA

∆(B) =k

j=1

1(B1j)B2j1) A21)

by Lemma11and Lemma 9.4 from [6]. ThereforeAhas PropertyI.

Theorem 47. Let A1 and A2 have Property I and be strictly multiplicative with α1≥α2. ThenA=A1∗ A2 has Property I. Also for B a partition set ofA1∗ A2

and forBij as in Lemma11we get

∆(B) =











 k j=1

1(B1j)B2j1)

A21) if α1> α2, k

j=1

1(B1j)∆2(B2j) if α1=α2.

Proof. Ifα1=α2apply Proposition44; otherwise apply Proposition46.

4. The general situation

4.1. Additive. Now, returning to the additive notational conventions, we extend the results to the case whenA1 andA2are not necessarily reduced.

Definition 48. Letd= gcd(suppp(n)) and letj|d. DefineAj to be the additive number system obtained from Aby altering the norm so thataj =a/j. Let aj(n) and pj(n) be the counting functions of Aj, and let ρj be the radius of convergence ofAj(x), the generating function of Aj.

Notice thataj(n) =a(nj),pj(n) =p(nj), gcd(supppj(n)) = 1, andρj =ρj. If d = j then we drop the j in the exponent and write A, which is a reduced additive system called thereduced form of A. Notice also that ifAis not reduced thenA ∈RTρ sincea(n) is infinitely often zero.

As an additional notational convention we will let di = gcd(supp pi(n)) and d= gcd(suppp(n)).

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Here is an example of the value of working with nonreduced systems. For q a power of a prime and d a positive integer, define the additive number system Aq,d as the system formed from the monic elements of Fq[xd] with polynomial multiplication as the operation andg(x)= degg(x).

Letaq,d(n) be the local counting function forAq,d. Then aq,d(n) =

qm ifdm=n 0 ifdn.

So the radius of convergence of the generating function ofAq,d is ρ= 1

q1/d.

Now, for alld,Aq,dlooks likeAq,1under the mappingg(xd)→g(x). Fromaq,1(n) = qn we see by the Knopfmacher, Knopfmacher, and Warlimont asymptotics (see Theorem 5.17, [6]) that Aq,1 has Property I and so, as we will see in Lemma 51, Aq,dhas PropertyIfor alld.

Determining whenAq1,d1∗ Aq2,d2 has PropertyIis rather more involved.

Theorem57, the main theorem of this subsection, shows thatAq1,d1∗ Aq2,d2 has PropertyIiff

1/q1/d1 1 <1/q1/d2 2 andd1|d2, or

1/q1/d1 1 >1/q1/d2 2 andd2|d1, or

1/q1/d1 1 = 1/q1/d2 2.

For instance, A2,2∗ A2,4 and A2,1∗ A2,3 have Property I but A2,2∗ A2,3 does not. Such facts require a careful study of nonreduced systems.

Lemma 49. For all BA,δ(B) = lim

n→∞

b(n)

a(n), providedδ(B)exists.

Proof. From Hua’s Theorem (as found for instance in [6], 2.49),a(n) is eventually nonzero; so lim

n→∞

b(n)

a(n) = limn→∞

a(n)=0

b(n)

a(n).

The next lemma follows easily from the definitions.

Lemma 50. Let A=A1∗ A2; thend= gcd(d1, d2). Letj|d; thenAj =A1j∗ A2j iffA=A1∗ A2.

Lemma 51. Aj has Property I iffAhas Property I, wheneverj|d.

Proof. AandAj have the same reduced form, so apply Lemma 3.3 from [6].

From this we get a slight variation on Proposition22.

Proposition 52. A has PropertyI impliesa(n)RTρ.

The key to the more general case is Proposition54, a modified version of Propo- sition24. In order to prove Proposition54we will need the following Lemma.

Lemma 53. If f(n)RTρ,ρ >0, and

n≥0f(n)ρn = then for allk and all

m≥1 we have

n≡kmodm

f(n)ρn=∞.

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Proof. Pick an >0. LetN be such thatf(j+ 1)>0 andf(j)/f(j+ 1)< +ρ forj > N. Then, for suitable constantsC1 andC,

j≡kmodm

f(j)ρj =

j≡kmodm j≤N

f(j)ρj +

j≡kmodm j>N

f(j)ρj

C1 + (+ρ)

j≡kmodm j>N

f(j+ 1)ρj

= C +

+ρ ρ

j≡k+1 modm

f(j)ρj.

Now

n≥0

f(n)ρn =implies that for all mwe have

j≡kmodm

f(j)ρj =for somek. Then by the above the latter equation holds for allk Proposition 54. Let A=A1∗ A2,gcd(d1, d2) = 1,A11) =∞, andA2RTρ2. If ρ1≤ρ2 then lim

n→∞a2(n−j)/a(n) = 0 for all integersj≥0.

Proof. Let us restrict out attention to n large enough that a(n−j) > 0. This is possible since d = gcd(d1, d2) = 1; so A is reduced. For d2 n−j we have a2(n−j) = 0, and soa2(n−j)/a(n) = 0. Assumed2|n−j, and letd2m=n−j.

Now

a(d2m+j) a2(d2m) =

d2m+j k=0

a1(k)a2(d2m+j−k) a2(d2m)

=

−j/d2≤i≤m

a1(d2i+j)a2(d2m−d2i) a2(d2m)

=

−j/d2≤i≤m

a1(d2i+j)a2(m−i) a2(m)

k i=0

a1(d2i+j)a2(m−i) a2(m) for fixedk < m. Thus

lim inf

m→∞

a(d2m+j)

a2(d2m) k

i=0

a1(d2i+j) lim inf

m→∞

a2(m−i) a2(m)

= k i=0

a1(d2i+j)ρd22i. Taking the limit ask→ ∞, we have

lim inf

m→∞

a(d2m+j)

a2(d2m)

i=0

a1(d2i+j)ρd22i

= ρ−j2

d1≡jmodd2

a1(d1d21

ρ−j2

d1≡jmodd2

a1()(ρ1)

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sinceρd21 ≥ρd11 =ρ1. Now since gcd(d1, d2) = 1,d1 ≡j modd2 is the same as ≡c modd2 for somec. We know that

≥0a1()(ρ1) =∞, andρ1 >0 since A11) =∞. Apply Lemma53to get lim

n→∞a2(n−j)/a(n) = 0.

Proposition 55. Let A1 andA2 have PropertyI withρ1=ρ2. ThenA1∗ A2 has PropertyI. LetBbe a partition set ofA1∗A2and letBij be as in Lemma11. Then

δ(B) =k

j=1

δ1(B1j2(B2j).

Proof. Let A = A1∗ A2. By Lemmas 50 and 51 we need only consider d = 1.

Since ρ1 = ρ2 we can switch the roles of A1 and A2 in Proposition 54 to get a1(n−j) =o

a(n)

for all integersj≥0.

From bi(ndi)/ai(ndi) δi(Bi) it follows that for all > 0 there is an N such that formd1, nd2≥N,

b1(md1)b2(nd2)−δ1(B12(B2)a1(md1)a2(nd2) < a1(md1)a2(nd2).

Clearlyai(k) = 0 givesbi(k) = 0 for allk; so for j, k≥N,

b1(j)b2(k)−δ1(B12(B2)a1(j)a2(k) a1(j)a2(k).

Now continue as in the proof of Proposition25using Proposition54in place of

Proposition24.

Proposition 56. Let A1 andA2 have PropertyI withρ1< ρ2. ThenA1∗ A2 has PropertyIiffd1|d2. Ifd1|d2 then forBa partition set ofA1∗ A2and for Bij as in Lemma11we get

δ(B) =k

j=1

δ1(B1j)B2j1) A21).

Proof. Let A =A1∗ A2. d1|d2 iff d1 = d sinced = gcd(d1, d2). We need only consider the case when d = 1, that is, A is reduced, because d1|d2 iff dd1d2

d and Lemmas50and51giveA1∗A2has PropertyIiffA1d∗A2dhas PropertyI.A1RTρ iffA ∈RTρ by Proposition 3.44 of [6].

(⇒) Suppose thatAhas PropertyIand radius of convergenceρ. ThenA ∈RTρ sinceAis reduced, and soA1RTρ. ThereforeA1 is reduced, and sod1= 1 =d.

(⇐) Suppose thatd1= 1 =d; thenA1RTρ1. Now continue as in the proof of Proposition27using Proposition54in place of Proposition24.

Theorem 57. Let A1 and A2 have Property I with ρ1 ≤ρ2. Then A1∗ A2 has PropertyIiffd1|d2 orρ1=ρ2. IfA1∗ A2has Property Ithen forBa partition set of A1∗ A2 andBij as in Lemma 11we get

δ(B) =











 k j=1

δ1(B1j)B2j1)

A21) if ρ1< ρ2, k

j=1

δ1(B1j2(B2j) if ρ1=ρ2.

Proof. Ifρ1=ρ2 apply Proposition55; otherwise apply Proposition56.

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For any additive number systemAdefineAq, the extension ofAby an indecom- posableq, to be the additive system formed by adding a new indecomposableqto P, by lettingAqbe the set of formal expressionsqma, forma nonnegative integer andaA, and by extending the norm with the definition qma=mq+a.

Corollary 58. SupposeAhas PropertyI. An extensionAqhas PropertyIiffdq orρ= 1.

Proof. We can form an additive number systemQ= (AQ,PQ,∗,e, ) generated byqby letting PQ ={q},AQ ={qm:m≥0}, qm1qm2 =qm1+m2,e=q0, and qm=mq. ThenAq=A ∗ Q,Q has PropertyI, ρQ= 1, and dQ=q. Now

apply Theorem57.

IfAis reduced in the above corollary then we have Theorem 3.59 of [6].

Corollary 59. Let A1, . . . ,An be additive number systems with A1, . . . ,An in RT1. Then(A1∗ · · · ∗ An) is also inRT1.

Proof. Let A = A1∗ · · · ∗ An. It suffices to prove the theorem for n = 2. By Theorem 4.2 of [6]Ai RT1 iffAi has PropertyIandρi= 1, and likewise forA.

Now apply Theorem57.

This gives the additive half of Theorem 16.1 from [7]. If all theAi are reduced then we have Stewart’s Theorem ([6], 4.15). We can also use Theorem 57to prove the following corollary, extending a result of Bateman and Erd˝os which in our notation says: ifp(n)≤1, forn≥1, thenART1, ([6], 4.13).

Corollary 60. If p(n)≤c, for n≥1, then ART1

Proof. Letm= max{p(n) :n≥1}, which exists since p(n)≤c is integer valued.

Then we can construct additive number systemsAi, 1≤i≤m, such thatpi(n)1 for 1 i m and A =A1∗ · · · ∗ Am. By the Bateman and Erd˝os result each

Ai RT1; so by Corollary59ART1.

4.2. Multiplicative. Now, using the multiplicative notational conventions, we extend the results to the case when A1 andA2 may be discrete.

As an additional notational convention, ifAis discrete λwill denote the largest integer such that a is an integer power of λ for all a A; and similarly for λi

whenAi is discrete.

Although A having Property I does not imply A ∈ RVα the following lemma gives a weaker result of a similar flavour.

Lemma 61. For any multiplicative number systemAwith PropertyI and abscissa of convergence α, there exists a C > 0 such that lim inf

n→∞

A(n/i)

A(n) Ci−α, for all integers i >0.

Proof. If A is strictly multiplicative then, by Corollary 9.50 from [6], A ∈ RVα, and so the lemma holds withC= 1.

SupposeAis discrete multiplicative; then A= (A,P,∗,e,logλ ) is a reduced additivenumber system with all partition sets having global asymptotic density, and with the radius of convergence ofA(x) being λ−α. Notice also thatA(x) = A(λx)

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