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VOL. 77 1998 NO. 1

ON THE METRIC THEORY OF CONTINUED FRACTIONS

BY

I. A L I E V (WARSZAWA), S. K A N E M I T S U (FUKUOKA)

AND

A. S C H I N Z E L (WARSZAWA)

For a positive integer n let P (n) be the measure of the set of irrational numbers x ∈ (0, 1) such that the best approximation of x with denominator

≤ n is a convergent of the continued fraction expansion (in the sequel c.f.e.) of x. We shall show

Theorem.

P (n) = 1 2 + 6

π 2 (log 2) 2 + O  1 n

 .

This answers a question proposed to A. Schinzel by M. Deleglise. The proof is based on several lemmas. We let

0 1 = p 0

q 0

< p 1

q 1

< . . . < p N

q N

= 1 1 be the Farey sequence of order n.

Lemma 1. For each i < N we have

(1) p i+1

q i+1

− p i

q i

= 1

q i q i+1

and q i + q i+1 > n.

P r o o f. See [4], Chapter 2, §1.

Lemma 2. For each pair of coprime positive integers a, b such that a ≤ n, b ≤ n and a + b > n there exists one and only one i < N such that

q i = a, q i+1 = b.

P r o o f. See [3], Lemma 1, or [1], Lemma 4.1.

Lemma 3. An irreducible fraction p/q, where q > 1, is a convergent of the c.f.e. of an irrational number x if and only if

|p − xq| < |p 0 − xq 0 |

for all pairs hp 0 , q 0 i ∈ Z 2 , where 0 ≤ q 0 ≤ q, hp 0 , q 0 i 6= h0, 0i, hp, qi.

1991 Mathematics Subject Classification: Primary 11K50.

[141]

(2)

P r o o f. See [4], Chapter 2, Theorem 10.

Lemma 4. Let x ∈ (0, 1) be irrational and for i = 0, 1, . . . , N − 1, m i = p i + p i+1

q i + q i+1

, c i = 1 2

 p i

q i

+ p i+1

q i+1

 .

(i) If x ∈ (p i /q i , m i ), then p i /q i is a convergent of the c.f.e. of x.

(ii) If x ∈ (m i , c i ), then p i /q i is not a convergent of the c.f.e. of x.

(iii) If x ∈ (c i , m i ), then p i+1 /q i+1 is not a convergent of the c.f.e. of x.

(iv) If x ∈ (m i , p i+1 /q i+1 ), then p i+1 /q i+1 is a convergent of the c.f.e.

of x.

P r o o f. It suffices to prove (i) and (ii), the proof of (iii) and (iv) is analogous.

Assume that x ∈ (p i /q i , m i ). Then

0 < q i x − p i < q i m i − p i = 1 q i + q i+1

.

Hence, if hp 0 , q 0 i ∈ Z 2 , 0 ≤ q 0 ≤ q i , hp 0 , q 0 i 6= h0, 0i, hp i , q i i we have either q 0 = 0, p 0 6= 0 and

|p 0 − q 0 x| = |p 0 | ≥ 1, or hp 0 , q 0 i = hp i+1 , q i+1 i and

|p 0 − q 0 x| = |p i+1 − q i+1 x| > p i+1 − q i+1 m i = 1 q i + q i+1

, or q 0 > 0, hp 0 , q 0 i 6= hp i , q i i, hp i+1 , q i+1 i and

|p 0 − q 0 x| ≥ q 0 min



p 0 q 0 − p i

q i

,

p 0

q 0 − p i+1

q i+1



≥ 1

max{q i , q i+1 } .

In any case |p 0 − q 0 x| > |p i − q i x| and by Lemma 3, p i /q i is a convergent of the c.f.e. of x if q i > 1. If q i = 1 then p i /q i = 0 and obviously the same is true.

Assume now that x ∈ (m i , c i ). Then m i < c i , hence q i > q i+1 by (1).

We have

0 < p i+1 − q i+1 x < p i+1 − q i+1 m i = 1 q i + q i+1

< q i x − p i

and, by Lemma 3, p i /q i is not a convergent of the c.f.e. of x.

Lemma 5. We have P (n) = 1

2 +

N −1

X

i=0

1

(q i + q i+1 ) max{q i , q i+1 } .

(3)

P r o o f. Denoting the Lebesgue measure by m we have P (n) =

N −1

X

i=0

m(S i ),

where S i is the set of irrational numbers in the interval (p i /q i , p i+1 /q i+1 ) for which the best approximation with denominator ≤ n is a convergent of the c.f.e. of x. Clearly, p i /q i is the best approximation in question for x ∈ (p i /q i , c i ), and p i+1 /q i+1 for x ∈ (c i , p i+1 /q i+1 ). Hence, by Lemma 4,

S i =  p i q i

, min{m i , c i }





max{m i , c i }, p i+1

q i+1



 Q, and

m(S i ) = min{m i , c i } − p i

q i

+ p i+1

q i+1

− max{m i , c i }.

Using (1) we obtain m(S i ) = 1

q i q i+1

− |q i − q i+1 |

q i q i+1 (q i + q i+1 ) = 1 2q i q i+1

+ 1

(q i + q i+1 ) max{q i q i+1 } . Therefore, by (1),

P (n) = 1 2

N −1

X

i=0

 p i+1

q i+1

− p i

q i

 +

N −1

X

i=0

1

(q i + q i+1 ) max{q i , q i+1 }

= 1 2 +

N −1

X

i=0

1

(q i + q i+1 ) max{q i , q i+1 } . Lemma 6. For n > 1 we have

P (n) = 1

2 + 2 X ∗ 1 bc , where the sum P ∗

is taken over all pairs hb, ci ∈ N 2 such that b ≤ n < c < 2b and (b, c) = 1.

P r o o f. By Lemmas 1 and 2 we have

N −1

X

i=0

1

(q i + q i+1 ) max{q i , q i+1 } =

n

X

a,b=1 a+b>n (a,b)=1

1

(a + b) max{a, b} .

For n > 1 the conditions a + b > n, (a, b) = 1 imply a 6= b. Hence

n

X

a,b=1 a+b>n (a,b)=1

1

(a + b) max{a, b} = 2

n

X

a,b=1 a<b, a+b>n

(a,b)=1

1

(a + b)b .

(4)

The conditions 1 ≤ a < b, (a, b) = 1 are equivalent to b < a + b < 2b, (a + b, b) = 1. Replacing a + b by c and using Lemma 5 we obtain the lemma.

Lemma 7. For arbitrary positive numbers A < B we have X

B≥i>A

1

i = log B A − 1

B ψ(B) + 1

A ψ(A) + O

 1 A 2

 , X

B≥i>A

log i i = 1

2 log B

A log BA − log B B ψ(B) + log A

A ψ(A) + O  log + A A 2

 , X

B≥i>A

1 i 2 = 1

B − 1 A + O

 1 A 2

 , X

B≥i>A

log i = B log B − A log A + O(B),

where ψ(x) = {x} − 1/2 and log + x = max{log x, 1}.

P r o o f. See Walfisz [5], Chapter 1, §1, Hilfssatz 3.

Lemma 8. We have

n

X

d=1

µ(d)

d = O(1),

n

X

d=1

µ(d) d 2 = 6

π 2 + O  1 n

 . P r o o f. See Landau [2], §152 and §153.

Proof of the Theorem. In the notation of Lemma 6 we have X 1

bc =

n

X

b=1

X

2b>c>n

1 bc

X

d|(b,c)

µ(d) =

n

X

d=1

µ(d) d 2

[n/d]

X

k=1

1 k

X

2k>l>n/d

1 l , hence by Lemma 7,

X ∗ 1 bc =

n

X

d=1

µ(d) d 2

X

n/d≥k>n/(2d)

1 k



log 2kd n − 1

4k + d n ψ  n

d



+ O  d 2 n 2



=

n

X

d=1

µ(d) d 2



log 2d n + d

n ψ  n d



+ O  d 2 n 2



X

n/d≥k>n/(2d)

1 k

+ X

n/d≥k>n/(2d)

log k

k − X

n/d≥k>n/(2d)

1 4k 2



.

(5)

Now,

 log 2d

n + d n ψ  n

d



+ O  d 2 n 2



X

n/d≥k>n/(2d)

1 k

=

 log 2d

n + d n ψ  n

d



+ O  d 2 n 2



×



log 2 − d n ψ  n

d

 + 2d

n ψ  n 2d



+ O  d 2 n 2



= log 2 log 2d n − d

n log 2d n ψ  n

d



+ 2d n log 2d

n ψ  n 2d

 + d

n log 2 ψ  n d



+ O  d 2

n 2 log + n d

 , while

X

n/d≥k>n/(2d)

log k k = 1

2 log 2 log n 2 2d 2 − d

n log n d ψ  n

d



+ 2d n log n

2d ψ  n 2d



+ O  d 2

n 2 log + n d

 , X

n/d≥k>n/(2d)

1 4k 2 = d

4n + O  d 2 n 2

 . Hence, by Lemma 8,

X ∗ 1 bc =

n

X

d=1

µ(d) d 2

 1

2 (log 2) 2 − d

4n + O  d 2

n 2 log + n d



= 1

2 (log 2) 2 6

π 2 + O  1 n



− 1 4n

n

X

d=1

µ(d)

d + O  1 n 2

n

X

d=1

log + n d



= 3

π 2 (log 2) 2 + O  1 n



+ O  1 n 2

n

X

d=1

log + n d

 . We have, by Lemma 7,

n

X

d=1

log + n d =

n/e

X

d=1

log n d +

n

X

d>n/e

1 = O(n), hence

X ∗ 1 bc = 3

π 2 (log 2) 2 + O  1 n



.

Together with Lemma 6 this gives the theorem.

(6)

Remark. The main term in the asymptotic formula for P (n), but not the error term, can be derived from Theorem 1.3 of [1] and from Lemma 5.

Acknowledgments. The authors thank Mr. M. Yoshimoto for his help in the calculations.

REFERENCES

[1] P. K a r g a e v and A. Z h i g l j a v s k y, Asymptotic distribution of the distance function to the Farey points, J. Number Theory 65 (1997), 130–149.

[2] E. L a n d a u, Handbuch der Lehre von der Verteilung der Primzahlen, reprint Chelsea, 1953.

[3] J. L e h n e r and M. N e w m a n, Sums involving Farey fractions, Acta Arith. 15 (1969), 181–187.

[4] B. A. V e n k o v, Elementary Number Theory , Wolters-Noordhoff, 1970.

[5] A. W a l f i s z, Weylsche Exponentialsummen in der neueren Zahlentheorie, Deutscher Verlag Wiss., Berlin, 1963.

Institute of Mathematics Department of Electrical Engineering

Polish Academy of Sciences University of Kinki, Iizuka

Sniadeckich 8 ´ Fukuoka 820, Japan

00-950 Warszawa, Poland E-mail: [email protected] E-mail: [email protected]

[email protected]

Received 3 November 1997;

revised 12 December 1997

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