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Characterization of asymptotic distribution functions of ratio block sequences

Authors:
  • J. Selye University
  • J. Selye University

Abstract

In this paper we give necessary and sufficient conditions for the block sequence of the set X = {x 1 < x 2 < … < x n < …} ⊂ ℕ to have an asymptotic distribution function in the form x λ. Key words and phrasesasymptotic distribution function-uniform distribution-block sequence Mathematics subject classification number11B05
Periodica Mathematica Hungarica Vol. 60 (2), 2010, pp. 115–126
DOI: 10.1007/s10998-010-2115-2
CHARACTERIZATION
OF ASYMPTOTIC DISTRIBUTION FUNCTIONS
OF RATIO BLOCK SEQUENCES
Ferdin´
and Filip1and J´
anos T. T´
oth2
1Department of Mathematics, J. Selye University
Bratislavsk´a cesta 3322, 945 01 Kom´arno, Slovakia
E-mail: filip.ferdinand@selyeuni.sk
2Department of Mathematics, J. Selye University
Bratislavsk´a cesta 3322, 945 01 Kom´arno, Slovakia
E-mail: toth.janos@selyeuni.sk
(Received November 15, 2009; Accepted March 5, 2010)
[Communicated by Attila Peth˝o]
Abstract
In this paper we give necessary and sufficient conditions for the block
sequence of the set X={x1<x
2<··· <x
n<···} ⊂ Nto have an
asymptotic distribution function in the form xλ.
1. Introduction
Denote by Nand R+the set of all positive integers and positive real numbers,
respectively. In the whole paper we will assume that Xis an infinite set of positive
integers. Denote by R(X)={x
y;xX, y X}the ratio set of Xand say that a
set Xis (R)-dense if R(X) is (topologically) dense in the set R+. Let us note that
the concept of (R)-density was defined and first studied in the papers [12] and [13].
Now let X={x1,x
2,...}where xn<x
n+1 are positive integers. The (R)-
density of the set Xis equivalent to the everywhere density in [0,1] of the sequence
x1
x1
,x1
x2
,x2
x2
,x1
x3
,x2
x3
,x3
x3
,..., x1
xn
,x2
xn
,...,xn
xn
,... (1)
It is also called the ratio block sequence of the set Xand we see that it is composed
by blocks
Xn=x1
xn
,x2
xn
,...,xn
xn,n=1,2,... (2)
Mathematics subject classification number: 11B05.
Key words and phrases: asymptotic distribution function, uniform distribution, block se-
quence.
Supported by grant APVV SK-HU-0009-08 and VEGA 1/0753/10.
0031-5303/2010/$20.00 Akad´emiai Kiad´o, Budapest
c
Akad´emiai Kiad´o, Budapest Springer, Dordrecht
116 F. FILIP and J. T. T ´
OTH
which can be studied individually. The density of the sequence of induvidual blocks
(2) implies the (R)-density of the set X. Also, if the distribution functions of (1)
or (2) are increasing, then again the set Xis (R)-dense. This is a motivation for
the study of sets G(xm/xn)andG(Xn) of distribution functions of (1) and (2),
respectively (defined in Par. 2), cf. [17], [18] and [7].
The second motivation for the study of block sequence (2) is that also other
kinds of block sequences were studied by several autors, see [3], [8],[9], [14], [20],
etc.
2. Definitions and basic results
In the following we use standard notations and definitions from [2], [9] and
[16].
By a distribution function we mean any function f:0,1→0,1such that
f(0) = 0,f(1) = 1 and fis nondecreasing in 0,1.
For the block sequence (1), for nNand x∈0,1denote
A(Xn,x)=#
i:in, xi
xnxand A(Xn,x)=
n
j=1
A(Xj,x).
Then we can attach to the sequence of blocks (Xn) and to the block sequence (1)
the following distribution functions:
F(Xn,x)=A(Xn,x)
n,
FN(xm/xn,x)=#{[i, j ]:1ijk, xi
xjx}+#{i:il, xi
xk+1 x}
N
=A(Xk,x)+O(k)
N=A(Xk,x)
N+O1
N,
where x∈0,1and N=k(k+1)
2+lwith 0 l<k+ 1. Consequently
lim
N→∞ FNxm
xn
,x
A(Xk,x)
k(k+1)/2=0.
Denote by G(Xn) the set of all distribution functions g(x)forwhichthere
exists an increasing sequence of indices {nk}
k=1 such that
lim
k→∞ F(Xnk,x)=g(x)
almost everywhere (abbreviated as a.e.) in 0,1.
DISTRIBUTION FUNCTION OF BLOCK SEQUENCES 117
Similarly G(xm/xn) denotes the set of all distribution functions g(x)ofthe
block sequence (1) for which there exists an increasing sequence of indices {Nk}
k=1
such that
lim
k→∞ FNkxm
xn
,x
=g(x)
a.e. in 0,1.
If the set G(Xn) is a singleton: G(Xn)={g(x)}, then we say that the sequence
Xnhas the asymptotic distribution function g(x) (abbreviated as a.d.f.). Similarly
if G(xm/xn)={g(x)}, then we say that the block sequence (1) of the set Xhas
a.d.f. g(x). In these cases
lim
n→∞ F(Xn,x)=g(x) and lim
N→∞ FNxm
xn
,x
=g(x)
holds for almost all x∈0,1.
Especially, if G(Xn)={g(x)=x}, resp. G(xm/xn)={g(x)=x},thenwe
say that the sequence Xnis uniformly distributed (abbreviated as u.d.), resp. the
block sequence (1) of the set Xis uniformly distributed.
Distribution functions of the sequence Xnand the block sequence (1) of the
set Xwere first investigated in the paper [17], where the next statement is proved
([17], Theorem 8.1, Theorem 8.2, Theorem 8.4).
(A1) If G(Xn)={g(x)},thenG(xm/xn)={g(x)}.
(A2) Let G(Xn)={g(x)}. Then one of the following equalities holds:
(i) g(x)=c0(x)=0,if x=0
1,if x(0,1,or
(ii) g(x)=xλfor some 0 1.
(A3) G(Xn)={c0(x)}iff one of the following equalities holds:
(i)
lim
n→∞
1
nxn
n
i=1
xi=0,
(ii)
lim
m,n→∞
1
mn
m
i=1
n
j=1
xi
xmxj
xn
=0.
We will use the following notation.
Let X={x1<x
2<···}⊂R,andE⊂0,1. We define
A(E,Xn)=#
i:in, xi
xnE
and
A(E,Xn)=#
[i, j]:1ijn, xi
xjE=
n
j=1
A(E,Xj).
118 F. FILIP and J. T. T ´
OTH
Suppose that G(xm/xn)={g(x)}and that gis continuous on 0,1.Let
0a<b1berealnumbers. IfE=(a, b),a, b),(a, bor a, b, then it is obvious
that
lim
n→∞
A(E,Xn)
n(n+1)/2=g(b)g(a).
3. Results
In this paper we give necessary and sufficient conditions for the block sequence
of the set Xto have an a.d.f. of the form xλ. The main result of this paper is the
following theorem.
Theorem 1. Let λ>0be a real number and X={x1<x
2<···} ⊂ N.
Then G(xm/xn)={xλ}iff for every kN
lim
n→∞
xkn
xn
=k1
λ.(3)
We give a sufficient condition for block sequences not to have an asymptotic
distribution function in the form xλ.
Lemma 1. Let λ>0be a real number and X={x1<x
2<···} ⊂ N.
Suppose that there exist numbers αand βwith 1<α<βsuch that for infinitely
many n, m N,m<n
xn
xm
and n
m
λ,(4)
or xn
xm
and n
m
λ.(5)
Then G(xm/xn)={xλ}.
Proof. We prove the first part of Lemma 1 by contradiction.
Let X={x1<x
2<···} Nbe such set that (4) and G(xm/xn)={xλ}
hold.
By (4) there exists a sequence {[mi,n
i]}
i=1, such that for every iNmi<n
i,
ni<n
i+1 and xni
xmi
and ni
mi
λ.(6)
Choose dRso that
1<d<2β
αλ1.(7)
DISTRIBUTION FUNCTION OF BLOCK SEQUENCES 119
Wenowinvestigatethevalueof
A1
β,1,X
[dni].
It is obvious that
A1
β,1,X
[dni]=A1
β,1,X
ni+
[dni]
j=ni+1
A1
β,1,X
j.(8)
From (6) we obtain
A1
β,1,X
ni<n
i11
αλ.(9)
Then
A1
β,1,X
ni+jA1
β,1,X
ni+j, (10)
since if xk
xni+j>1
β,then xk
xni
>1
βor k>n
i. Inequalities (8) and (10) imply that
A1
β,1,X
[dni]A1
β,1,X
ni+([dni]ni)ni11
αλ+
+([dni]ni)([dni]ni+1)
2.
(11)
Then G(xm/xn)={xλ}yields
lim
i→∞
A(( 1
β,1,X
[dni])
([dni])([dni]+1)/2=11
βλ(12)
and
lim
i→∞
A(( 1
β,1,X
ni)
ni(ni+1)/2=11
βλ.(13)
On the other hand, using (13) we obtain
lim
i→∞
A(( 1
β,1,X
ni)+([dni]ni)ni(1 1
αλ)+([dni]ni)([dni]ni+1)
2
[dni]([dni]+1)/2
= lim
i→∞
A(( 1
β,1,Xni)
ni(ni+1)/2
ni(ni+1)
2+(d1)n2
i(1 1
αλ)+n2
i(d1)2
2
n2
id2/2
=(1 1
βλ)+2(d1)(1 1
αλ)+(d1)2
d2.
From this, (11) and (12) we derive that
11
βλ(1 1
βλ)+2(d1)(1 1
αλ)+(d1)2
d2.
120 F. FILIP and J. T. T ´
OTH
Elementary calculations give
11
βλ(d21) 2(d1)11
αλ+(d1)2,
11
βλ(d+1)211
αλ+(d1) ,
dd
βλ+11
βλ12
αλ+d,
d2β
αλ1,
contradicting (7).
Now we prove by a contradiction the second part of Lemma 1. Let X=
{x1<x
2<···}be such that (5) and G(xm/xn)={xλ}hold. By (5) there exists
a sequence {[mi,n
i]}
i=1 such that mi<n
i<n
i+1 and
xni
xmi
and ni
mi
λ(14)
for every iN.
Let γ(α, β) be arbitrary.
First we show that for every sufficiently large ni
x[(γ/α)λni]
xniβ
α.(15)
For a contradiction assume that for infinitely many ni
x[(γ/α)λni]
xni
>β
α.(16)
Let γ<γ
. It is obvious that
lim
i→∞
[(γ/α)λni]
ni
=γ
αλ<γ
αλ.
Thus there exists i0N, such that for every ii0
[(γ/α)λni]
ni
<γ
αλ.
From this, (16) and the fact that γ
α<β
α, using the first part of the proof one
deduces that G(xm/xn)={xλ}. Hence (15) holds for every sufficiently large ni.
Let nibe sufficiently large. We will make estimations for
A1
β,1,X
[(γ/α)λni].
DISTRIBUTION FUNCTION OF BLOCK SEQUENCES 121
It is obvious that
A1
β,1,X
[( γ
α)λni]=A1
β,1,X
ni+
[( γ
α)λni]ni
j=1
A1
β,1,X
ni+j.(17)
Moreover, for every ni<k[(γ/α)λni] inequalities (14) and (15) imply that
xmi
xkxmi
x[(γ/α)λni]
=xmi
xni
xni
x[(γ/α)λni]
>1
α
α
β=1
β.
From this using (14) we obtain for every 1 j[(γ/α)λni]ni
A1
β,1,X
ni+jnimi+jni11
βλ+j. (18)
Putting (18) into (17) we obtain
A1
β,1,X
[( γ
α)λni]A1
β,1,X
ni+
[(γ/α)λni]ni
j=1
ni11
βλ+j
A1
β,1,X
ni
ni(ni+1)/2
ni(ni+1)
2+
+γ
αλninini11
βλ+
+([( γ
α)λni]ni)([(γ/α)λni]ni+1)
2.
(19)
On the other hand, the assumption G(xm/xn)={xλ}implies that
lim
i→∞
A(( 1
β,1,X
[(γ/α)λni])
[(γ/α)λni]([(γ/α)λni]+1)/2=11
βλ(20)
and
lim
i→∞
A(( 1
β,1,X
ni)
ni(ni+1)/2=11
βλ.(21)
From (19), (20) and (21) we can derive
11
βλ(1 1
βλ) + 2((γ/α)λ1)(1 1
βλ)+((γ/α)λ1)2
(γ/α)2λ.
Using elementary computations we obtain
11
βλγ
α2λ2γ
αλ+1
γ
αλ12,
hence
11
βλ1,
a contradiction.
The following lemma is required for the proof of Theorem 1.
122 F. FILIP and J. T. T ´
OTH
Lemma 2. Let ε>0and X={x1<x
2<···}N. Suppose that for every
kN
lim
n→∞
xkn
xn
=kε.(22)
Then for every real number α>0
lim
n→∞
x[αn]
xn
=αε.
Proof. We will prove the lemma in two steps. First we prove the following
claim. If lim
n→∞
xkn
xn=kεfor some ε>0 and every natural number k,then
lim
n→∞
xn+1
xn
=1.(23)
Let kbe a fixed positive integer and na sufficiently large positive integer.
Then there exists a positive integer msuch that
km n<(k+1)m.
Then obviously km n+1(k+1)m. From this we obtain
1xn+1
xnx(k+1)m
xkm
=x(k+1)m/xm
xkm/xm
=V(m).
If n→∞,thenm→∞and obviously V(m)(k+1
k)ε. Hence
1lim sup
n→∞
xn+1
xnk+1
kε.
This inequality holds for every kN.Fork→∞we obtain from this inequality
that
lim
n→∞
xn+1
xn
=1.
Now we prove the lemma for the case αQ+.
Let α=p/q where p, q N.Letnqbe an integer. Let lbe the integer
given by
ql n<q(l+1).
Then obviously
xpl/xl
xq(l+1)/xl+1
xl
xl+1
=xpl
xq(l+1) x[αn]
xnxp(l+1)
xql
=xp(l+1)/xl+1
xql/xl
xl+1
xl
.
From this, (22), (23) we obtain
lim
n→∞
x[αn]
xn
=pε
qε=αε.
DISTRIBUTION FUNCTION OF BLOCK SEQUENCES 123
It remains to prove that the lemma is valid also for irrational α>0.
Let δ>0. From the facts that the set Q+is dense in R+and that the function
f(x)=xεis increasing and continuous it follows that there are numbers α1
2Q
such that 0
1<α<α
2and
αεαε
1and αε
2αε<δ.
Then from the inequalities
αεδ<α
ε
1= lim
n→∞
x[α1n]
xnlim inf
n→∞
x[αn]
xn
lim sup
n→∞
x[αn]
xnlim
n→∞
x[α2n]
xn
=αε
2
ε+δ
it follows that
lim
n→∞
x[αn]
xn
=αε.
Using Lemma 1 and Lemma 2 we can prove Theorem 1.
Proof of Theorem 1. We will prove the theorem in two steps.
I) The condition (3) is necessary for block sequences to have asymptotic dis-
tribution function in the form xλ.
Suppose that there exists a set X={x1<x
2<···} ⊂ Nand kNsuch
that G(xm/xn)={xλ}, but
lim
n→∞
xkn
xn=k1.
(It is obvious that k2.) Then there are two possibilities:
1) lim inf n→∞(xkn/xn)<k
1,
2) lim supn→∞ (xkn/xn)>k
1.
Inthefirstcaseput
α= lim inf
n→∞
xkn
xn
and β=k1.
Since 1 α
, we can take numbers α, β such that α<α<β<β
.Thenwe
have for infinitely many nN
xkn
xn
and kn
n=k=(β)λ
λ.
Using Lemma 1 we obtain G(xm/xn)={xλ}, a contradiction.
In the second case put
β= lim sup
n→∞
xkn
xn
and α=k1.
124 F. FILIP and J. T. T ´
OTH
(Itispossiblethatβ=+.) Since 1 α
, we can take numbers α, β,such
that α<α<β<β
. Then we have for infinitely many nN
xkn
xn
and kn
n=k=(α)λ
λ.
Using Lemma 1 we obtain G(xm/xn)={xλ}.
II) The condition (3) is sufficient for block sequences to have asymptotic
distribution function in the form xλ.
From (A1) it follows that it is sufficient to prove that G(Xn)={xλ}.Let
α(0,1). We will show that
lim
n→∞ F(Xn) = lim
n→∞
#{i:in, xi
xn}
n=αλ.
Let 0
1. Lemma 2 implies that
lim
n→∞
x[αλ
1n]
xn
=(αλ
1)1=α1.
Then there exists n0Nsuch that for every nn0
x[αλ
1n]
xn
.
Hence, if i[αλ
1n], then xi/xn.Thismeansthat
#i:in, xi
xn
[αλ
1n].
Then
lim inf
n→∞
#{i:in, xi/xn}
nlim
n→∞
[αλ
1n]
n=αλ
1.(24)
Since (24) holds for every 0
1,wehave
lim inf
n→∞
#{i:in, xi/xn}
nαλ.(25)
Similarly
lim sup
n→∞
#{i:in, xi/xn}
nαλ.(26)
Inequalities (25) and (26) imply that
lim
n→∞
#{i:in, xi/xn}
n=αλ.
This completes the proof of Theorem 1.
DISTRIBUTION FUNCTION OF BLOCK SEQUENCES 125
Corollary 1. The block sequence (1) is uniformly distributed iff
lim
n→∞
xkn
xn
=k
for all kN.
Proof. The statement is an immediate consequence of Theorem 1.
Acknowledgement
The authors would like to thank Prof. Attila Peth˝o and the anonymous referee
for a careful reading of the manuscript and suggestions that improved the quality
of this paper.
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... , see[3, Fig. 1.]. The optimality of h 1 (x) and h 2 (x) are proved in 5 0 and 6 0 pages 518-522 of[3].7 ...
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This expository paper presents known results on distribution functions g(x) of the sequence of blocks where x n is an increasing sequence of positive integers. Also presents results of the set G(X n ) of all distribution functions g(x). Specially: - continuity of g(x); - connectivity of G(Xn); - singleton of G(Xn); - one-step g(x); - uniform distribution of Xn, n = 1, 2, . . . ; - lower and upper bounds of g(x); - applications to bounds of ; - many examples, e.g., , where p n is the nth prime, is uniformly distributed. The present results have been published by 25 papers of several authors between 2001-2013.
... We give an alternative proof of the following Theorem of Filip and Tóth [3]. ...
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In this paper we study the properties of the unbounded sequence 0<y1y2y30 < y_1 \le y_2 \le y_3 \le \cdots of positive reals having asymptotic distribution function of the form xλx^\lambda. As a consequence, we immediately get information on the asymptotic behavior of the power means of order r>0r>0 of function values of some arithmetic functions, e.g., the first n prime numbers or the values of the prime counting function.
... It follows from Lemma 1 that all distribution functions in G(X n ) are continuous at 1. Ifg(x) were constant on some interval (α, β] ⊂ (0, 1], then we would havẽ g(x) = c 0 (x), but it is impossible according to (5). Therefore, by part (i) of (A6), we getg ...
... It follows from Lemma 1 that all distribution functions in G(X n ) are continuous at 1. Ifg(x) were constant on some interval (α, β] ⊂ (0, 1], then we would havẽ g(x) = c 0 (x), but it is impossible according to (5). Therefore, by part (i) of (A6), we getg ...
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Let 0q10\le q\le 1 0 ≤ q ≤ 1 and N\mathbb {N} N denotes the set of all positive integers. In this paper we will deal with it too the family U(xq){\mathcal {U}}(x^q) U ( x q ) of all regularly distributed set X={x1<x2<<xn<}NX=\{x_1<x_2<\cdots<x_n<\cdots \} \subset \mathbb {N} X = { x 1 < x 2 < ⋯ < x n < ⋯ } ⊂ N whose ratio block sequence x1x1,x1x2,x2x2,x1x3,x2x3,x3x3,,x1xn,x2xn,,xnxn,\begin{aligned} \frac{x_1}{x_1}, \frac{x_1}{x_2}, \frac{x_2}{x_2}, \frac{x_1}{x_3}, \frac{x_2}{x_3}, \frac{x_3}{x_3}, \dots , \frac{x_1}{x_n}, \frac{x_2}{x_n}, \dots , \frac{x_n}{x_n}, \dots \end{aligned} x 1 x 1 , x 1 x 2 , x 2 x 2 , x 1 x 3 , x 2 x 3 , x 3 x 3 , ⋯ , x 1 x n , x 2 x n , ⋯ , x n x n , ⋯ is asymptotically distributed with distribution function g(x)=xq; x(0,1]g(x) = x^q;\ x \in (0,1] g ( x ) = x q ; x ∈ ( 0 , 1 ] , and we will show that the regular distributed set, regular sequences, regular variation at infinity are equivalent notations. In this paper also we discuss the relationship between notations as (N)-denseness, directions sets, generalized ratio sets, dispersion and exponent of convergence.
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Let 0q10\leq q\leq1 and N\mathbb{N} denotes the set of all positive integers. In this paper we will deal with it too the family U(xq)\mathcal{U}(x^q) of all regularly distributed set XNX \subset \mathbb{N} whose ratio block sequence is asymptotically distributed with distribution function g(x)=xq; x(0,1]g(x) = x^q;\ x \in(0,1], and we will show that the regular distributed set, regular sequences, regular variation at infinity are equivalent notations. In this paper also we discuss the relation ship between notations as (N)-denseness, directions sets, generalized ratio sets, dispersion of sequence and exponent of convergence.
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There are various methods how to describe and characterize distribution of elements of sets of positive integers. One of the most interesting is that using the set of all distribution functions of the corresponding ratio block sequence introduced in [Strauch, O.—Tóth, J.T.: Publ. Math. Debrecen 58 (2001), no. 4, 751–778]. In the present paper we give some sufficient conditions under which this set is small in a metric sense. As a corollary we obtain a new characterization of the case of asymptotic distribution.
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The paper deals with a block sequence defined by formula presented where xn is an increasing sequence of positive integers. We discuss the set of all distribution functions of such sequences.
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For an increasing sequence xn, n = 1, 2,. .. , of positive integers define the block sequence Xn = (x 1 /xn,. .. , xn/xn). We study the set G(Xn) of all distribution functions of Xn, n = 1, 2,. .. . We find a special xn such that G(Xn) is not connected and we give some criterions for connectivity of G(Xn). We also give an xn such that G(Xn) contains one-step distribution function with step 1 in 1 but does not contain one-step distribution function with step 1 in 0. We prove that if G(X n) is constituted by one-step distribution functions, at least two different, then it contains distribution functions with steps in 0 and 1.