Accepted Manuscript Hausdorff dimensions of some exceptional sets in Engel expansions
Meiying Lü, Jia Liu
PII: DOI: Reference:
S0022-314X(17)30356-6 https://doi.org/10.1016/j.jnt.2017.09.015 YJNTH 5885
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Journal of Number Theory
Received date: Revised date: Accepted date:
18 April 2017 18 September 2017 24 September 2017
Please cite this article in press as: M. Lü, J. Liu, Hausdorff dimensions of some exceptional sets in Engel expansions, J. Number Theory (2018), https://doi.org/10.1016/j.jnt.2017.09.015
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HAUSDORFF DIMENSIONS OF SOME EXCEPTIONAL SETS IN ENGEL EXPANSIONS ¨ 1,∗ , JIA LIU 2 MEIYING LU Abstract. Given any real number x ∈ (0, 1], denote its Engel expansion by ∞ 1 n=1 d1 (x)···dn (x) , where {d j (x), j ≥ 1} is a sequence of positive integers satisfying d1 (x) ≥ 2 and d j+1 (x) ≥ d j (x)( j ≥ 1). Suppose φ : N → R+ is a function satisfying φ(n + 1) − φ(n) → ∞ as n → ∞. In this paper, we consider the set log dn (x) =1 , E(φ) = x ∈ (0, 1] : lim n→∞ φ(n) and we quantify the size of E(φ) in the sense of Hausdorff dimension. As appli cations, we get the Hausdorff dimensions of the sets x ∈ (0, 1] : lim logndβn (x) = γ n→∞ and x ∈ (0, 1] : lim logτdnn (x) = η , where β > 1, γ > 0 and τ > 1, η > 0. n→∞
1. Introduction Given x ∈ (0, 1], let x = [d1 (x), d2 (x), · · · , dn (x), · · · ] denote the Engel expansion of x, i.e. 1 1 1 + + ··· + + ··· , x= d1 (x) d1 (x)d2 (x) d1 (x)d2 (x) · · · dn (x) where {d j (x), j ≥ 1} is a sequence of positive integers satisfying d1 (x) ≥ 2 and d j+1 (x) ≥ d j (x) for j ≥ 1 (see [2]). On the other hand, any {d j , j ≥ 1} of integer sequence satisfying d1 ≥ 2 and d j+1 ≥ d j for j ≥ 1 is realizable, that is, there exists a unique x ∈ (0, 1] such that d j (x) = d j for any j ≥ 1. The Engel expansion is generated by the map T : (0, 1] → (0, 1], given by 1 1 1 T (x) = x − , , n ≥ 1, (n + 1), if x ∈ n+1 n+1 n and that T has no finite invariant measure equivalent to the Lebesgue measure (see [2], Chapter V). In general, rational numbers have a finite Engel expansion, while irrational numbers have an infinite Engel expansion. For example, 1.175 = [1, 6, 20]; π = [1, 1, 1, 8, 8, 17, 19, 300, 1991, 2492, · · · ]; √ 2 = [1, 3, 5, 5, 16, 18, 78, 102, 120, 144, · · · ]. In [2], J. Galambos proved that for almost all x ∈ (0, 1], 1
lim dnn (x) = e,
n→∞
2000 Mathematics Subject Classification. 11K55, 28A80 . Key words and phrases. Engel expansions; exceptional sets; Hausdorff dimension. 1
2
¨ 1,∗ , JIA LIU 2 MEIYING LU
that is, for almost all x ∈ (0, 1], log dn (x) = 1. n He conjectured that the Hausdorff dimension of the set of points that violate the above large law of numbers is one. In 2000, J. Wu [5] proved this conjecture. In another paper, Y. Y. Liu and J. Wu [3] further showed that for any α ≥ 1, the set 1 A(α) = x ∈ (0, 1] : lim dnn (x) = α lim
n→∞
n→∞
has Hausdorff dimension 1. For more studies of exceptional sets in Engel expansions, see works [4, 6]. In this note, we would like to know the size of the sets of points for which log dn (x) has super-linear growth rate. Namely, we consider the following set log dn (x) E(φ) = x ∈ (0, 1] : lim =1 , n→∞ φ(n) where φ : N → R+ is a function satisfying φ(n + 1) − φ(n) → ∞ as n → ∞. Denote by dimH the Hausdorff dimension, we prove that Theorem 1.1. Suppose φ : N → R+ is a function satisfying φ(n + 1) − φ(n) → ∞ as n → ∞, then 1 φ(n + 1) dimH E(φ) = , where b = lim sup n . 1+b n→∞ j=1 φ( j) As the applications of Theorem1.1, we also consider the cases for which log dn (x) grows with polynomial and exponential rate. Denote log dn (x) = γ , (β > 1, γ > 0); B(β, γ) = x ∈ (0, 1] : lim n→∞ nβ log dn (x) = η , (τ > 1, η > 0). C(τ, η) = x ∈ (0, 1] : lim n→∞ τn We obtain the following results, Corollary 1.2. For any β > 1 and γ > 0, dimH B(β, γ) = 1. 1 Corollary 1.3. For any τ > 1 and η > 0, dimH C(τ, η) = . τ 2. Proofs of the results In this section, we give the proofs of the results. We first collect some basic properties possessed by the Engel expansions, see Galambos [2]. Lemma 2.1 ( [2]). Suppose that {d1 , · · · , dn } ⊂ N(n ≥ 1) satisfying d1 ≥ 2, d j+1 ≥ d j for all j ≥ 1, call In (d1 , · · · , dn ) = {x ∈ [0, 1) : d1 (x) = d1 , · · · , dn (x) = dn }
HAUSDORFF DIMENSIONS OF SOME EXCEPTIONAL SETS IN ENGEL EXPANSIONS
3
an n-th order cylinder, then |In (d1 , · · · , dn )| =
1 , d1 · · · dn−1 dn (dn − 1)
where | · | denotes the diameter of a set. Consequently, we give the mass distribution principle (see [1], Proposition 4.2), which will be used to estimate the lower bound of the Hausdorff dimension of a set. Lemma 2.2 ( [1]). Let E ⊂ (0, 1] be a Borel set and μ be a measure with μ(E) > 0. Suppose that log μ(B(x, r)) lim inf ≥ s, for all x ∈ E, n→∞ log r where B(x, r) denotes the open ball with center at x and radius r. Then dimH E ≥ s. Proof of Theorem1.1. We divide the proof into two parts. Lower bound. We first give a formula for computing the Hausdorff dimension for a class of Cantor sets related to Engel expansions. Lemma 2.3. Let {sn }n≥1 be a sequence of positive integers tending to infinity with s1 ≥ 2 and for all n ≥ 1, sn+1 ≥ N sn for some positive number N ≥ 3. Set F = {x ∈ (0, 1] : sn ≤ dn (x) < N sn , ∀n ≥ 1}. Then dimH F = lim inf n→∞
log(s1 s2 · · · sn ) . log(s1 s2 · · · sn ) + log sn+1
Proof. Let s0 be the lim inf in the statement. Set
J(d1 , d2 , · · · , dn ) := cl In+1 (d1 , · · · , dn , dn+1 ), dn+1 ≥sn+1
where sk ≤ dk < N sk for all 1 ≤ k ≤ n. Here cl stands for the closure. Then it follows that ∞
J(d1 , d2 , · · · , dn ). (2.1) F= n=1 sk ≤dk
By Lemma 2.1, we have the estimation of the length of J(d1 , d2 , · · · , dn ), N n+1 s1
2 1 1 ≤ ≤ |J(d1 , · · · , dn )| = . · · · sn sn+1 d1 , · · · , dn (sn+1 − 1) s1 · · · sn sn+1
(2.2)
Since sk → ∞ as k → ∞, then log s1 + · · · + log sn = ∞. n This, together with the definition of s0 , implies that for any s > s0 , there exists a sequence {nl : l ≥ 1} such that for all l ≥ 1, lim
n→∞
(N − 1)nl < (s1 · · · snl snl +1 )(s−s0 )/2 ,
s1 · · · snl ≤ (s1 · · · snl snl +1 )(s+s0 )/2 .
¨ 1,∗ , JIA LIU 2 MEIYING LU
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Then, by (2.1), together with (2.2), we have |J(d1 , d2 , · · · , dnl )| s H s (F) ≤ lim inf l→∞
sk ≤dk
≤ lim inf (N − 1)nl (s1 · · · snl ) l→∞
s 2 ≤ 2s. s1 · · · snl snl +1
Since s > s0 is arbitrary, we have dimH F ≤ s0 . For the lower bound, we define a measure supported on F. Let K(d1 , d2 , · · · , dn ) denote the following closed sub-interval of (0, 1], K(d1 , d2 , · · · , dn ) := cl{x ∈ (0, 1] : d1 (x) = d1 , · · · , dn (x) = dn }, where sk ≤ dk < N sk for all 1 ≤ k ≤ n, and call K(d1 , d2 , · · · , dn ) the n-th basic interval. By Lemma 2.1, we have the estimation of the length of K(d1 , d2 , · · · , dn ), N n+1 s1
1 2 1 ≤ ≤ |K(d1 , · · · , dn )| = , (2.3) 2 · · · sn−1 sn d1 · · · dn−1 dn (dn − 1) s1 · · · sn−1 s2n
and from the definition of K(d1 , d2 , · · · , dn ), it follows that ∞
F= K(d1 , d2 , · · · , dn ).
(2.4)
n=1 sk ≤dk
Let μ be a measure supported on F such that for any basic interval K(d1 , d2 , · · · , dn ) of order n, n
1 . μ(K(d1 , d2 , · · · , dn )) = (N − 1)s j j=1 By Kolmogorov’s extension theorem, μ can be extended to a probability measure supported on F. In the following, we will check the mass distribution principle with this measure. Fix s < s0 . By the definition of s0 and the fact that sk → ∞(k → ∞) and N is a constant, there exists an integer n0 such that for all n ≥ n0 , n n s
(N − 1)sk ≥ sn+1 N sk . (2.5) k=1
k=1
We take
1 . N n0 +1 (s1 · · · sn0 −1 )s2n0 For any x ∈ F, there exists an infinite sequence {d1 , d2 , · · · } with sk ≤ dk < N sk , for all k ≥ 1 such that x ∈ K(d1 , d2 , · · · , dn ) for all n ≥ 1. For any r < r0 , there exists an integer n ≥ n0 such that r0 =
N n+2 (s
1 1 ≤ r < n+1 . 2 N (s1 · · · sn−1 )s2n 1 · · · sn )sn+1
(2.6)
By (2.3) and (2.6), B(x, r) can intersect at most three n-order basic intervals or at most cn (n + 1)-order basic intervals, where cn = 2rN n+2 (s1 · · · sn )s2n+1 .
HAUSDORFF DIMENSIONS OF SOME EXCEPTIONAL SETS IN ENGEL EXPANSIONS
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As a consequence,
μ(B(x, r)) ≤ min 3μ(K(d1 , d2 , · · · , dn )), 2rN ≤
n
k=1
n+2
(s1 · · ·
sn )s2n+1
n+1
k=1
1 (N − 1)sk .
1 1 min 3, 2rN n+2 (s1 · · · sn )s2n+1 (N − 1)sk (N − 1)sn+1
By (2.5) and the elementary inequality min{a, b} ≤ a1−s b s which holds for any a, b > 0 and 0 < s < 1, s s 1 1 1−s n+2 2 3 (s · · · s )s ≤ 4Nr s . μ(B(x, r)) ≤ 2rN 1 n n+1 sn+1 (N n s1 · · · sn ) (N − 1)sn+1 By the mass distribution principle, we have dimH F ≥ s0 . Since φ(n + 1) − φ(n) → ∞ as n → ∞, we have eφ(n+1) ≥ 3eφ(n) ,
for sufficiently large n.
Without loss of generality, we suppose eφ(n+1) ≥ 3eφ(n) for any n ≥ 1. Let E = {x ∈ (0, 1] : eφ(n) ≤ dn (x) < 3eφ(n) , ∀n ≥ 1}, then E ⊂ E(φ). Applying Lemma 2.3, we have φ(1) + · · · + φ(n) 1 ≥ . dimH E(φ) ≥ lim inf n→∞ φ(1) + · · · + φ(n) + φ(n + 1) 1+b Upper bound. Since φ(n + 1) − φ(n) → ∞, choose > 0, then there exist n0 , for any n ≥ n0 , φ(n + 1) 1 + eφ(n)(1+ ) > eφ(n)(1− ) + 1, > . (2.7) φ(n) 1− Take Ln = eφ(n)(1− ) , Mn = eφ(n)(1+ ) . The inequalities (2.7) implie that Mn > Ln + 1
and
Ln+1 > Mn ,
for any n > n0 .
Without loss of generality, we suppose L1 ≥ 2, Mn > Ln + 1 and Ln+1 > Mn for any n ≥ 1. Define F N = {x ∈ (0, 1] : Ln ≤ dn (x) ≤ Mn , ∀n ≥ N}. Fix x ∈ E(φ), if n large enough, we have φ(n)(1 − ) ≤ log dn (x) ≤ φ(n)(1 + ). That is eφ(n)(1− ) ≤ dn (x) ≤ eφ(n)(1+ ) for large enough n, therefore ∞
FN . E(φ) ⊂ N=1
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We can only estimate the upper bound of dimH F1 , Since F N can be written as a countable union of sets with the same form as F1 , then dimH F N = dimH F1 by the σ-stability of Hausdorff dimension. For any n ≥ 1, define Dn = {(σ1 , · · · , σn ) ∈ Nn : Lk ≤ σk ≤ Mk , 1 ≤ k ≤ n}. By the definition of sequences {Ln , n ≥ 1} and {Mn , n ≥ 1}, we have the sequence {σk , k ≥ 1} of integers satisfies σ1 ≥ 2 and σk+1 ≥ σk for any k ≥ 1. It follows that
F1 = J(σ1 , · · · , σn ), n≥1 (σ1 ,··· ,σn )∈Dn
where J(σ1 , · · · , σn ) = cl
In+1 (σ1 , · · · , σn , σn+1 ),
σn+1 ≥Ln+1
called an admissible cylinder of order n. Actually, all J(σ1 , · · · , σn ) with (σ1 , · · · , σn ) ∈ Dn is a cover of F1 , we could use this cover to estimate the upper bound of Hausdorff dimension of F1 . So, we need estimate the diameter of J(σ1 , · · · , σn ) and the number of all J(σ1 , · · · , σn ) in the cover. By Lemma2.1, we have 2 := Rn . |J(σ1 , · · · , σn )| ≤ L1 · · · Ln Ln+1 The number of J(σ1 , · · · , σn )’s is equal to n n
Nn := (Mk − Lk + 1) ≤ Mk . k=1
k=1
So log Nn n→∞ − log Rn log M1 + · · · + log Mn ≤ lim inf n→∞ log L1 + · · · + log Ln + log Ln+1 [φ(1) + · · · + φ(n)](1 + ) ≤ lim inf n→∞ [φ(1) + · · · + φ(n) + φ(n + 1)](1 − ) 1+ . ≤ (1 + b)(1 − )
dimH F1 ≤ lim inf
letting → 0, we get dimH E(φ) ≤
1 . 1+b
Proof of Corollary1.2. Let φ(n) = γnβ , then φ(n + 1) − φ(n) → ∞ as n → ∞. Applying Theorem1.1, we have dimH B(β, γ) = 1. Proof of Corollary1.3. Let φ(n) = ητn , then φ(n + 1) − φ(n) → ∞ as n → ∞. 1 Applying Theorem1.1, we get dimH C(τ, η) = . τ
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Acknowledgements. This work was supported by National Natural Science Foundation of China (No.11401066; No.11626030; No.11701001), Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant No.KJ1703046), Projects from Chongqing Municipal Science and Technology Commission (No.cstc2015jcyjA00026). References [1] K. J. Falconer, Fractal Geometry, Mathematical Foundations and Application, John Wiley and Sons, Chichester, 1990. [2] J. Galambos, Reprentations of Real Numbers by Infinite Series, Lecture Notes in Math. 502, Springer, 1976. [3] Y. Y. Liu and J. Wu, Hausdorff dimensions in Engel expansions, Acta Arith., 99(2001), 79-83. [4] Y. Y. Liu and J. Wu, Some exceptional sets in Engel expansions, Nonlinearity, 16(2)(2003), 559-566. [5] J. Wu, A problem of Galambos on Engel expansions, Acta Arith., 92(2000), 383-386. [6] J. Wu, How many points have the same Engel and Sylvester expansions, J. Number Theory, 103(2003), 16-26. 1
School of Mathematical Sciences, Chongqing Normal University, Chongqing , 401331, P. R. China E-mail address:
[email protected] 2 institute of statistics and Applied Mathematics, Anhui University of Finance and Economics, Benbu, 233030, P. R. China E-mail address:
[email protected]