An upper bound for Jacobsthal's Function
by Hans-Joachim Kanold
The untranslated article is
here.
Paul Erdos: Let n be any integer. Jacobsthal defines g(n) to be the least integer so that amongst any g(n) consecutive integers a, a+1, \dots, a+g(n)-1 there is at least one which is relatively prime to n
Paul Erdos has shown that for almost all n, the order of magnitude of g(n) is the same as \frac{n}{\varphi(n)}V(n) with \varphi(n), the well-known Euler function, and with V(n) the number of different prime divisors of n.
"Almost all” means: all natural numbers n with the exception of a set of natural density zero. Note [3] investigated relationships between g(n) and prime numbers in arithmetic sequences. (Note 3: KANOLD, H.-J.: Über Primzahlen in arithmetischen Folgen. Math. Ann. 156, 393-395 (1964), t57, 358-362 (t965).)
The present work aims to provide further estimates of g(n) to be derived.
We can rely on square-free arguments n>1 restricted.
Let:
(1) n = p_1 p_2 \dots p_k with 2 \le p_1 < p_2 < \dots < p_k the canonical decomposition of n into a product of prime numbers
Furthermore, for the shortcut:
(2) g(n) = g
And: g(p_1) = 2 applies, we can now also assume k > 1. Based on the definition of g there exists (at least) one natural number a so that:
(3) (a,n) = (a+g,n) = 1; and (a + \gamma) > 1 for \gamma = 1, \dots, g-1.
With the known function of Möbius we get a first basic relationship:
(4) g -1 = - \sum\limits_{d|n\text{, }d>1}\mu(d)\left(\left[\frac{a+g-1}{d}\right]-\left[\frac{a}{d}\right]\right)
We now introduce the following abbreviated terms.
(5) \frac{a+g-1}{d} - \left[\frac{a+g-1}{d}\right] = \Theta_d; \frac{a}{d} - \left[\frac{a}{d}\right] = \vartheta_d
From (3), for d > 1, it follows:
(6) 0 \le \Theta_d \le 1 - \frac{2}{d}; \frac{1}{d} \le \vartheta_d \le 1 - \frac{1}{d}
Because \Theta_d = 1 - \frac{1}{d} leads to d|a+g, the second basic relationship is:
(7) (g-1)\frac{\varphi(n)}{n} = \sum_\limits{d|n\text{, }d>1}\mu(d)(\Theta_d - \vartheta_d)
Let:
(8) (a+\gamma, n) = \delta_{\gamma} \text{ } (\gamma = 1, \dots, g-1)
then according to (1) and (3) always:
(9) \delta_{\gamma} \ge p_1; \delta_{\gamma} | p_1 \dots p_k; V(\delta_{\gamma}) \ge 1
We look at the product:
(10) \Delta = \delta_1 \delta_2 \dots \delta_{g-1}
And ask: How often is (1 \le K \le k) in \Delta? The number of multiples of p_K which is not larger than a + g - 1 are given by \left[\frac{a+g-1}{p_K}\right]; the number of multiples that are not greater than a is \left[\frac{a}{p_K}\right]. So:
(11) \Delta = \prod\limits_{K=1}^k {p_K}^{\left[\frac{a+g-1}{p_K}\right] - \left[\frac{a}{p_K}\right]}
The number of \Delta contained prime numbers, each according to its multiplicity counted, is therefore
(12) \sum\limits_{K=1}^{k} \left(\left[\frac{a+g-1}{p_K}\right] - \left[\frac{a}{p_K}\right]\right)
According to (3) it is of course:
(13) \left[\frac{a}{p_K}\right] = \left[\frac{a-1}{p_K}\right]; \left[\frac{a+g-1}{p_K}\right] = \left[\frac{a+g}{p_K}\right]
If we denote, as in the introduction, with V(m) the number of different prime divisors of a natural number m, then we get the third basic relationship:
(14) \sum\limits_{\gamma = 1}^{g-1}V(\delta_{\gamma}) = \sum\limits_{K=1}^{k} \left(\left[\frac{a+g-1}{p_K}\right] - \left[\frac{a}{p_K}\right]\right) = (g-1)\sum\limits_{K=1}^{k}\frac{1}{p_K} + \sum\limits_{K=1}^k \left( \vartheta_{p_K} - \Theta_{p_K} \right)
For convenience, we will use:
(15) \frac{1}{g-1}\sum\limits_{\gamma=1}^{g-1} V(\delta_{\gamma}) - \sum\limits_{K=1}^k \frac{1}{p_K} = \frac{1}{g-1}\sum\limits_{K=1}^k ( \vartheta_{p_K} - \Theta_{p_K} ) = \xi
Let d | n, d \nmid a + \gamma for \gamma = 1, \dots, g-1. It follows:
(16) \Theta_d - \vartheta_d = \frac{g-1}{d}
Let d | n, d> 1 and:
(17) d | a + \gamma_d; d | a + g - {\gamma`}_d; 1 \le \gamma_d \le g - {\gamma'}_d; 1 \le \gamma_d, {\gamma'}_d \le \text{min}\{d-1, g-1\},
It follows from (5):
(18) \vartheta_d = 1 - \frac{\gamma_d}{d}; \Theta_d = \frac{{\gamma'}_d - 1}{d}; \Theta_d - \vartheta_d = \frac{\gamma_d + {\gamma'}_d -1}{d} - 1
According to (17):
(19) \gamma_d + {\gamma'}_d \le \text{min}\{g; 2d-2\}; 0 \le g - \gamma_d - {\gamma'}_d \equiv 0 \pmod d
II. We now want to derive some simple estimates from the basic relationships.
Lemma 1: It always applies that: 0 < |\xi| < 1
Proof: We first show that \xi(g-1) cannot be completely, therefore also in particular \xi not equal to zero. From (15) we get:
(20) p_1 \dots p_k \sum\limits_{\gamma = 1}^{g-1}V(\delta_{\gamma}) - (g-1) \sum\limits_{K=1}^k \frac{p_1\dots p_k}{p_K} = \xi(g-1)p_1 \dots p_k
Furthermore,
(21) \left(\sum\limits_1^k \frac{p_1 \dots p_k}{p_K}, p_1 \dots p_k \right) = 1
Would now be \xi(g-1) completely, so would be:
(22) p_1 \dots p_k | g-1; g-1 \ge n
But that would mean that there is a sequence of length n which does not contain a number that is relatively prime to n, which is obviously a contradiction, since every such sequence has exactly \varphi(n) to n must contain coprime numbers. It is always (cf. [2]).
(23) g \ge k+1
After (6) and (15) follows
(24) |\xi| \le \frac{1}{k} \sum\limits_1^k |\vartheta_{p_K} - \Theta_{p_K}| \le \frac{1}{k} \sum\limits_1^k \left(1 - \frac{1}{p_K} \right) < 1
This completes the proof of the above proposition.
Lemma 2: Let k>1. For \xi < 0 applies g < \frac{k-3}{|\xi|} -2, For \xi > 0 applies g < \frac{k-1}{\xi} + 2
Proof: Because of g(p_1 \dots p_k) > g \left(\frac{p_1 \dots p_k}{p_K} \right) for any K \in \{ 1, \dots, k \} are for d = p_K the prerequisites (17) are met. According to (15), (17) to (19) we obtain:
(25) g - 1 = \frac{1}{\xi} \sum\limits_1^k \left( 1 - \frac{\gamma_{p_K} + {\gamma'}_{p_K} -1}{p_K} \right); 2 \le \gamma_{p_K} + {\gamma'}_{p_K} \equiv g \pmod {p_K}
Let \xi > 0. If \gamma_{p_K} + {\gamma'}_{p_K} = 2 for all K=1, \dots, k then for k > 1, g - 2 > 0
(26) n = p_1 \dots p_k | g-2, g-2 \ge n
which leads to a contradiction as in (23). Thus, according to (9), (15) and (25) we have
(27) g-1 < \frac{1}{\xi} \left( k - \sum\limits_1^k \frac{1}{p_K} \right) = \frac{k}{\xi} - \frac{1}{\xi} \left( \frac{1}{g-1} \sum\limits_1^{g-1} V(\delta_{\gamma}) - \xi\right) \le \frac{k}{\xi} - \frac{1}{\xi}(1 - \xi); g < \frac{k-1}{\xi} + 2
Let \xi < 0. From (25) we obtain (28):
(28) g-1 = \frac{1}{|\xi|} \left( \sum\limits_1^k \frac{\gamma_{p_K} - {\gamma'}_{p_K}-1}{p_K} -k \right)
Assume \gamma_{p_K} + {\gamma'}_{p_K} = 2p_K - 2 [cf. (19)] for K=1, \dots, k, so would be
(29) p_K | g - 2p_K+2; n=p_1 \dots p_k | g+2; g+2 \ge n
Then there would be a sequence of natural numbers of length n-3, which does not contain a number that is coprime to n. We would have:
(30) n - \varphi(n) \ge n - 3; 3 \ge \varphi(n) = (p_1 - 1) \dots (p_k - 1)
Because p_3 -1 \ge 4, it follows k \le 2; because of |\xi| = \sum\limits_1^k \frac{1}{p_K} - \frac{1}{g-1} \sum\limits_1^{g-1} V(\delta_{\gamma}) \le \sum\limits_1^k \frac{1}{p_K} - 1
but delivers
(31) 1 + |\xi| \le \sum\limits_1^k \frac{1}{p_K} \le \frac{1}{2} + \frac{1}{3}
a contradiction. Therefore, according to (28)
(32) g - 1 < \frac{1}{|\xi|} \left( \sum\limits_1^k \frac{2p_K - 3}{p_K} - k\right) = \frac{1}{|\xi|} \left( k - 3 \sum\limits_1^k \frac{1}{p_K} \right) \le \frac{1}{|\xi|} (k - 3 - 3|\xi|); g < \frac{k-3}{|\xi|} - 2
This proves the Lemma 2. A simple consequence is
Lemma 3: Let k > 1. For \xi \ge \frac{1}{k+1} or \xi \le \frac{-1}{k+3} follows g \le k^2
Proof: If \xi \le \frac{-1}{k+3}, then Lemma 2 provides:
(33) g < (k-3)(k+3) - 2 = k^2 - 11 < k^2
If \xi \ge \frac{1}{k+1}, then follows:
(34) g < (k-1)(k+1) + 2 = k^2 + 1; g \le k^2
From a slightly different structure is the:
Lemma 4: If m and n are coprime, then g(mn) \le \text{min} \{ mg(n) - \varphi(m) + 1; ng(m) - \varphi(n) + 1 \}
Proof: We imagine a sequence of length mg(n) = mg given a+1, a+2, \dots, a+mg. We arrange these mg numbers in a rectangular scheme:
(35)
a+1 \qquad \qquad \qquad \qquad a+2, \dots, \dots, \dots, a+m
a+m+1 \qquad \qquad \qquad a+m+2, \dots,\dots, \dots, a+2m
\vdots
a+(g-1)m + 1 \qquad a+(g-1)m+2,\dots,\dots,\dots,a+gm
Each column of (35) consists of numbers belonging to the same residue class \text{mod} m. There are exactly \varphi(m) columns whose numbers are all relatively prime to m Let the residue classes be:
(36) a + r_1, a + r_2, \dots, a + r_{\varphi} (\varphi = \varphi(m))
with 1 \le r_1 < r_2 < \dots < r_{\varphi} \le m is relatively prime to m. We then extract the following sub-scheme from (35).
(37)
a + r_1\qquad \qquad \qquad \qquad a + r_2, \dots, \dots, \dots, a + r_{\varphi}
a + m + r_1\qquad \qquad \qquad a + m + r_2, \dots, \dots, \dots, a + m + r_{\varphi}
\vdots
a+(g-1)m + r_1\qquad a+(g-1)m + r_2, \dots, \dots, \dots, a+(g-1)m + r_{\varphi}
All numbers in (37) are relatively prime to m. Now consider any column of (37).
(38) a + \gamma m + r_i; \gamma = 0, 1, \dots, g-1; i \in \{ 1, \dots, \varphi \}
Because of (m,n)=1, there exists a natural number v_i such that:
(39) a + r_i + v_in \equiv 0 \pmod m
is fulfilled. Then we look at the consecutive numbers:
(40) \frac{a + r_i + v_i n}{m} + \gamma
Among these numbers, there is always at least one that is relatively prime to n. Therefore, in each column of (37) there is at least one number that is relatively prime to mn. This gives
(41) g(mn) \le mg(n) - \varphi(m) + 1
Because of the symmetry in m and n, Lemma 4 is proved. If m is equal to a prime number p, then we get
(42) g(pn) \le pg(n) - p + 2
III We now want to estimate the function p for small values of k. We start with
Lemma 5: If (n,6)=1; 1 < k \le 11; Then g < 2k
Proof: According to the prerequisite p_1 \ge 5. For k=2,3,4 is from the numbers a + 1, a + 2, \dots, a + k + 1 at most one by p_1, or p_2, \dots, or p_k divisible.
So we have for 1 < k \le 4
(43) k+1 \le g \le k+1, i.e. g = k+1 < 2k
Assume: 5 \le k \le 11. We have p_3 \ge 11 ; p_4 \ge 13; p_5 \ge 17; \dots so
(44) p_{k-2} > 2k for k = 5, \dots 11
Now consider a sequence of length 2k-1:
(45) a+1, a+2, \dots, a + 2k-1,
then at most one of these numbers is divisible by p_k or p_{k-1} or p_{k-2}. If g-1 \ge 2k - 1, then we could choose the sequence (45) such that of these numbers at least 2k-4 are not relatively prime to p_1 p_2 \dots p_{k-3}. Since none of the prime numbers p_3 \dots p_{k-3} can be contained in more than two of the numbers (45), at least 6 of these numbers must not be relatively prime to p_1 p_2. For k\le 7 at most two of the numbers are divided by p_2 divisible; then follows 2k-1 \ge 16, thus a contradiction to k \le 7. For k=8, 9, 10, 11 applies instead of (44)
(46) p_{k-3} > 2k
Of the numbers (45) at least 2k-5 are not relatively prime to p_1 \dots p_{k-4} At least 7 of these numbers do not have to be relatively prime to p_1 p_2, at least 4 must be divisible by p_1. This gives p_1 = 5; k \ge 9. For k=9, 10, 11:
(47) p_{k-4} \ge 2k-1
Of the numbers (45) at least 2k-6 are not relatively prime to p_1 \dots p_{k-5} At least 8 are not coprime to p_1 p_2, at least 5 must be divisible by p_1 = 5. Only the following case remains:
(48) k=11; a+1 \equiv 0 \pmod 5
Assume that g(n) \ge 2k-1 so that none of the numbers a + \gamma + v\times 5 (\gamma = 2, 3, 4, 5; v = 0, 1, 2, 3) is coprime to p_2 \dots p_{11} At most, 3 of these numbers are divisible by p_2 \ge 7 since the numbers are in the range of a+2+0*5=a+2 to a+5+3*5 = a+20 and if more than 3 were divisible by p_2, then the fourth such integer would be greater than a+2+3*7 = a+23 which is impossible since it is outside of the range; of the remaining 13 numbers, one is divisible by p_{11} or p_{10} or p_9, \dots or p_6 (\ge 19) So at least 7 numbers must be divisibly by p_3, p_4, p_5. But p_3 \ge 11 which is a contradiction since at most 3 can be divided by p_5 > p_4 > p_3 \ge 11. This completes the proof for Lemma 5.
Theorem 1: For 1 < k \le 12, it follows that g\le k^2
Proof: Assume (n,6)=1 According to Lemma 5, for 1 < k \le 11
(49) g \le 2k - 1 < k^2
For k=12, p_1 \ge 7 we receive directly
(50) \sum\limits_1^{12} \frac{1}{p_K} < 1 - \frac{1}{3}
which according to Lemma 2 leads to
(51) g \le 34 < k^2
The case k=12, p_1 = 5 leads according to lemmas 4 and 5 to
(52) g \le 5(2\times 11 - 1) - 3 = 102 < k^2
Assume (n,6)=2. Lemma 4 leads to
(53) g \le 2g(p_2 \dots p_k)
so for k=2, g \le 4 = k^2 and for 3 \le k \le 12 according to (49) to
(54) g \le 2(2k-3) = 4k-6 < k^2
Let (n,6)=3. One can immediately see that for k=2 the equation:
(55) g=3 (<k^2)
applies; for 3 \le k \le 12 is according to (49) and Lemma 4
(56) g \le 3(2k-3)-1 = 6k - 10 < k^2
Finally, (n,6)=6, i.e. p_1 = 2, p_2 = 3 According to (53) k=2 the equation g=2^2 fulfilled; for k=3 is according to (55) immediately g \le 2\times 3 < 3^2 is evident. For 4 \le k \le 13 we obtain from (56), with k-1 instead of k,
(57) g \le 12k -32 \le k^2 for k = 4, 8, 9, 10, 11, 12, 13
We therefore still have to prove the theorem in the cases
(58) k = 5,6,7; p_1 = 2, p_2 = 3
where according to (53) it is sufficient to show that
(59) g(p_3 \dots p_k) \le \frac{k^2}{2}
is fulfilled. According to the fourth proposition,
(60) g(p_3 \dots p_k) \le 3g(p_3 \dots p_k) - 1
There p_3 \ge 5 must be is for k=5,6 also g(p_3 \dots p_k) = k-1 what to
(61) g \le 2 \times 3(k-1) - 2 = 6k - 8 < k^2
Finally, for k = 7 we have the estimates
(62) g(p_3 \dots p_7) \le 7 = k; g \le 6\times 7 - 2 = 40 < k^2
This proves Theorem 1.
IV. In this section we want to obtain more general results. We start with
Theorem 2: Let q_1, q_2, \dots be the ith prime numbers ordered by size; n=p_1 \dots p_k with p_1 < \dots < p_k given such that p_1 \ge q_{l + 1}, 1 < k \le l^e is valid. Then g \le k^2
Proof: From B. Rosser [4]:
(Note: B. Rosser showed that the
nth prime is greater than
n \log n:
link, Pierre Dusart improved on this result in 1999:
link)
(63) \sum\limits_{v=1}^m \frac{1}{q_v} = \log \log m + B_m, B_m > B_{m+1} (m \ge 2);
for m=1 of course applies
(64) \sum\limits_{v=1}^1 \frac{1}{q_v} = \frac{1}{2}.
For l \ge 1 we get, with q_{l+1} = p_1 < \dots < p_k,
(65) \sum\limits_1^k \frac{1}{p_K} \le \sum\limits_{v=l+1}^{l+k} \frac{1}{q_v} = \log \frac{\log( l + k)}{\log l} - \sum\limits_{\gamma = l}^{l+k-1} (B_{\gamma} - B_{\gamma + 1}),
According to (63)
(66) B_{\gamma} - B_{\gamma + 1} = \log \log (\gamma + 1) - \log \log \gamma - \frac{1}{q_{\gamma + 1}}.
According to Taylor’s theorem,
(67) \log \log(\gamma + 1) = \log \log \gamma + \frac{1}{\gamma \log \gamma} - \frac{1}{2} \frac{1 + \log(\gamma + \vartheta_{\gamma})}{(\gamma + \vartheta_{\gamma})^2 {\log}^2 (\gamma + \vartheta_{\gamma}) }
with a certain \vartheta_{\gamma} where 0 < \vartheta_{\gamma} < 1. This means
(68) \sum\limits_1^k \frac{1}{p_K} \le \log \frac{\log(l + k)}{\log l} - \sum\limits_{\gamma = l}^{l+k-1} \left( \frac{1}{\gamma \log \gamma} - \frac{1}{q_{\gamma + 1}} - \frac{1}{2} \frac{1 + \log \gamma}{{\gamma}^2 {\log}^2 \gamma} \right)
Note that according to B. Rosser [4]
(69) q_{\gamma + 1} > (\gamma + 1)\log(\gamma + 1)
is fulfilled, then (68) becomes
(70) \sum\limits_1^k \frac{1}{p_K} < \log \frac{\log(l+k)}{\log l} - \frac{1}{l \log l} + \frac{1}{(l + k)\log(l+k)} + \frac{1}{2} \sum\limits_l^{l+k-1} \frac{1 + \log \gamma}{{\gamma}^2 {\log}^2 \gamma},
because still
(71) \sum\limits_{\gamma = 1}^{l+k-1} \frac{1 + \log \gamma}{{\gamma}^2 {\log}^2 l} \le \frac{1 + \log l}{l^2 {\log}^2 l} + \int_l^{l+k} \frac{1 + \log x}{x^2 {\log}^2 x}{d}x = \frac{1}{l \log l} \left(1 + \frac{1}{l} + \frac{1}{l \log l} + \frac{1}{l \log l} \right) - \frac{1}{(l+k)\log(l + k)}
is correct, (70) also provides the estimate
(72) \sum\limits_{1}^{k} \frac{1}{p_K} < \log \frac{\log (l + k)}{\log l} + \frac{1}{2(l+k)\log(l+k)} - \frac{1}{2l\log l}\left(1 - \frac{1}{l} - \frac{1}{l \log l}\right) < \log\left( \frac{\log k}{\log l} + \frac{l}{k \log l} \right) + \frac{1}{2(l+k)\log(l + k)} - \frac{1}{2l\log l}\left( 1 - \frac{1}{l} - \frac{1}{l \log l} \right).
From Theorem 1, we can assume that k \ge 13; l \ge 3.
Let:
(73) 13 \le k \le l^{7/3} - l, so l \ge 4
then we have
(74) \frac{\log(l+k)}{\log l} \le 2.334; \sum\limits_1^k \frac{1}{p_K} < \log 2.334 + \frac{1}{2(l+k)\log l} - \frac{1}{2l \log l}\left( 1 - \frac{1}{l} - \frac{1}{l \log l} \right) < 0.85 + \frac{1}{4^2 \log 4} < 0.9 = 1 - \frac{1}{10},
which according to Proposition 2 leads to g < 10(k-1) +2 < 10k < k^2.
Let:
(75) l^{7/3} - l < k \le l^{7/3}, so l \ge 4;
According to (72) it follows that \log \frac{\log(l + l^{7/3})}{\log l} < \log \left( \frac{7}{3} + \frac{1}{l^{4/3}\log l} \right) < \log \frac{7}{3} + \frac{3}{7l^{4/3}\log l} also:
(76) \sum\limits_1^k \frac{1}{p_K} < \log \frac{7}{3} + \frac{3}{7l^{4/3}\log l} + \frac{3}{7l^{7/3}\times 2\log l} - \frac{1}{2l\log l} \left( 1 - \frac{1}{l} - \frac{1}{l \log l} - \frac{6}{7l^{1/3}} - \frac{3}{7l^{4/3}} \right) < 0.9,
and again to g < 10k < k^2 so that:
(77) l^{7/3} < k \le l^{5/2} -l and \log \frac{\log(l+k)}{\log l} \le \log \frac{5}{2} < 0.92
In this case we see from (72)
(78) \sum\limits_1^k \frac{1}{p_K} < 0.92 + \frac{3}{14l^{7/3}\log l} - \frac{1}{2l\log l} \left( 1 - \frac{1}{l} - \frac{1}{l \log l} \right) = 0.92 - \frac{1}{2l \log l} \left( 1 - \frac{1}{l} - \frac{1}{l \log l} - \frac{3}{7l^{4/3}} \right) < 0.92 - \frac{7}{60l \log l} < 1 - \frac{1}{12.5}
which according to Proposition 2 immediately
(79) g < 12.5k < k^2
delivers. For
(80) \text{max} \{ l^{7/3}; l^{5/2}-1 \} < k < l^{5/2}
becomes
(81) \sum \frac{1}{p_K} < 0.92 + \frac{2}{5l^{3/2}\log l} + \frac{1}{5l^{5/2}\log l} - \frac{1}{2l\log l} \left( 1 - \frac{1}{l} - \frac{1}{l \log l} \right) = 0.92 - \frac{1}{2l\log l} \left( 1 - \frac{1}{l} - \frac{1}{l \log l} - \frac{2}{5l^{3/2}} - \frac{4}{5l^{1/2}} \right) < 0.92 + \frac{0.1809}{2l \log l} < 0.95
for k \ge 19 according to Lemma 3, the inequality g \le k^2 fulfilled. For k \le 18 is l^{7/3}< 18 only fulfilled for l \le 3
Then it follows from (80)
(82) 12 < \text{max} \{ 9 \sqrt[3]{3}; 9\sqrt{3} - 3 \} < k < 9\sqrt{13} < 16
In the cases l=3, k=13, 14, 15 we can estimate directly:
(83) g < 5k < k^2
We can assume for the rest of the proof
(84) l^{5/2} < k \le l^e
According to (72)
(85) \sum \frac{1}{p_K}
< \log \left( e + \frac{1}{ll^{e-1}\log l} \right) + \frac{1}{5l^{5/2}\log l} - \frac{1}{2l\log l} \left( 1 - \frac{1}{l} - \frac{1}{l \log l} \right) < 1 - \frac{1}{2l \log l} \left( 1 - \frac{1}{l} - \frac{1}{l \log l} - \frac{2}{el^{e-2}} - \frac{2}{5l^{3/2}} \right)
For l \ge 5 is \frac{1}{l} + \frac{1}{l \log l} + \frac{2}{el^{e-2}} + \frac{2}{5l^{3/2}} < \frac{1}{5} + \frac{1}{8} + \frac{2}{2.7 \times 5^{3/2}} + \frac{2}{25 \times \sqrt{5}} < 0.62 i.e. we have the estimates
(86) \sum \frac{1}{p_K} < 1 - \frac{0.38}{2l \log l}; g < \frac{l \log l}{0.19} k \le k^2
because \frac{\log l}{l} \le \frac{\log 5}{5} < 0.322 < 0.19l^{1/2} is fulfilled. For l = 3,4 we get from (84) and p_1 \ge q_{l + 1}
(87) p_1 = 7 or 11; 16 \le k \le 19 or 33 \le k \le 53.
For l=3, it follows:
(88) \sum\limits_1^{19} \frac{1}{p_K} \le \frac{1}{7} + \frac{1}{11} + \dots + \frac{1}{79} < 0.8; g < 5k < k^2
For l=4, it follows:
(89) \sum\limits_1^{53} \frac{1}{p_K} \le \frac{1}{11} + \frac{1}{13} + \dots + \frac{1}{269} < 1 - \frac{1}{30}; g < 30k < k^2
This confirms the second theorem.
Theorem 3: Let n = p_1 \dots p_k, 1 < k^{0.6} < p_1 < \dots < p_k then g(p_1 \dots p_k) \le k^2.
Proof: We write
(90) \pi(k^{0.6}) = l
and know from Theorem 2 that k \le l^{e} the assertion of the above theorem follows. Therefore we now ask the question: For which l is:
(91) l < \pi(l^{0.6e})
fulfilled? Assume first, with 0.6e = \alpha (1.63 < \alpha < 1.632)
(92) l^{\alpha} \ge e^{100}
Then, according to B. Rosser [4]:
(93) \pi(l^{\alpha}) \ge \frac{l^{\alpha}}{\alpha \log l + 2}
We get
(94) l < \frac{l^{\alpha}}{\alpha \log l + 2} \le \pi(l^{\alpha})
Because \alpha l \log l + 2l < l^{\alpha}, \frac{\alpha}{a-1} \frac{\log l^{\alpha-1}}{l^{\alpha-1}} + \frac{2}{l^{\alpha - 1}} \le \frac{1.632}{0.63} \times \frac{10}{e^{10}} + \frac{2}{e^{10}} < 1, it is fulfilled. Assume:
(95) 17 \le l^{\alpha} < e^{100}
Then we have, according to B. ROSSER [4]
(96) \pi(l^{\alpha}) \ge \frac{l^{\alpha}}{\alpha \log l} > l; \alpha \log l < l^{\alpha -1}
because the function \frac{\log x}{x} for 1 < x is positive and at x = e the maximum \frac{1}{e}
Because the above adjustment is equivalent to:
(97) \frac{\alpha}{\alpha - 1} \times \frac{\log l^{\alpha - 1}}{l^{\alpha - 1}} \le \frac{\alpha}{\alpha - 1} \times \frac{1}{e} \le \frac{0.6e}{0.63} \times \frac{1}{e} = \frac{60}{63} < 1
Is now
(98) l^{1.63} < l^{\alpha} < 17; l < 6
then we investigate for which l \le 5 according to (91)
(99) l < \pi(l^{1.6})
applies. It is
(100) 5^{1.6} > 13; \pi(13) = 6
For l=2,3,4 we carry out the proof directly with estimation of \sum\limits_1^{k} \frac{1}{p_K} and application of Proposition 2. Because of Theorem 1 we can k \ge 13; l = \pi(k^{0.6}) \ge \pi(\sqrt{13}) \ge \pi(3) = 2 This proves Theorem 3.
Theorem 4: For all n = p_1 \dots p_k, g(n) \le 2^k = \sum\limits_{d|n} 1. For k \ge e^{50} is g(n) < 2^{\sqrt{k}}.
Proof: For k=1,2 the statement is correct. So let k \ge 3. Assume that:
(101) p_1 < \dots < p_i \le (k-i)^{0.6} < p_{i+1} < \dots < p_k.
From Lemma 4, it follows that:
(102) g(n) \le p_1 \dots p_i g(p_{i+1} \dots p_k) - (p_1 - 1) \dots (p_i - 1) + 1
From Theorem 3 we get
(103) g(n) \le p_1 \dots p_i(k-i)^2
It is known
(104) p_1 \dots p_i < 4^{(k-i)^{0.6}}
Therefore follows
(105) g(n) < 2^{2(k-i)^{0.6}} \times (k-i)^2 \le 2^k
if
(106) 2^{2(k-i)^{0.6}} \times (k-i)^2 \le 2^{2k^{0.6}} \times k^2 \le 2^k; k^2 \le 2^{k^{0.6}(k^{0.4}-2)}; 2\log k \le k^{0.6} (k^{0.4} - 2) \log 2; \frac{\log k^{0.6}}{k^{0.6}}\le 0.3 \times (k^{0.4} - 2) \log 2
applies. Because \frac{\log k^{0.6}}{k^{0.6}} \le \frac{1}{e} < 0.368 < 0.3 \times 1.8 \log 2 is correct, it follows that k^{0.4} - 2 \ge 1.8; k \ge 29 immediately the claim. For 3 \le k \le 12 the assertion of the theorem is also fulfilled, namely for k=4, \dots, 12 according to Theorem 1, for k=3 because of g(p_1 p_2 p_3) \le 6. Now 13 \le k \le 28 provided. We get according to (101)
(107) p_i \le 28^{0.6} < 10
With this we have
(108) p_1 \dots p_i \le 2 \times 3 \times 5 \times 7 = 210; g(n) < 210k^2
For k \ge 18 is:
(109) 210k^2 \le 2^k
Because \frac{\log 210}{k} + \frac{2 \log k}{k} < \frac{5.35 + 5.8}{18} < \log 2 is fulfilled. For 13 \le k \le 17, it follows:
(110) p_i \le 17^{0.6} < 7; p_1 \dots p_i \le 30; g(n) < 30k^2 \le 2^k,
because \frac{\log 30 + 2 \log k}{k} < \frac{3.41 + 5.14}{13} > \log 2 applies:
For k \ge e^{50} we write, similar to the proof of Theorem 3:
(111) l = \pi(k^{0.48}); l < \pi(l^{0.48e}); \alpha = 0.48e (1.3 < \alpha < 1.31)
According to B. Rosser [4]
(112) \pi(l^{\alpha}) \ge \frac{l^{\alpha}}{\alpha \log l + 2}; \frac{\alpha}{\alpha - 1} \times \frac{\log l^{\alpha - 1}}{l^{\alpha - 1}} + \frac{2}{l^{\alpha - 1}} < \frac{1.31}{0.3} \times \frac{\log l^{\alpha - 1}}{l^{\alpha - 1}} + \frac{2}{l^{\alpha - 1}}; k^{0.48} \ge e^{24}; l \ge \pi(e^{24}) \ge \frac{e^{24}}{26}; l^{\alpha - 1} > l^{0.3} > \left( \frac{e^{24}}{26} \right)^{0.3} > e^{20\times 0.3} = e^6 > 400; \frac{131}{30} \times \frac{6}{400} + \frac{2}{400} < 1
We therefore have the following result:
(113) For k \ge e^{50}; k^{0.48}< p_1 < \dots < p_k, it follows that g(p_1 \dots p_k) \le k^2
Let p_1 < \dots < p_j \le (k-j)^{0.48} < p_{j+1} < \dots < p_k so it follows that:
g \le p_1 \dots p_j \times (k-j)^2 < 2k^{0.48} \times k^2 \le 2^{\sqrt{k}}
Then: 2k^{0.48} \log 2 + 2\log k \le \sqrt{k}\log 2; 2\log k \le k^{0.48}(k^{0.02}-2) \log 2; k^{0.02} \ge e > 2.7; 2 \log k \le 0.7 \times k^{0.48} \log 2; \frac{1}{0.24} \times \frac{\log k^{0.48}}{k^{0.48}} < 0.7 \log 2; \frac{1}{0.24} \times \frac{24}{e^{24}} < 0.7 \log 2 is valid. This proves Theorem 4.
As a simple consequence of the last theorem we get:
(114) For k \ge 18, it follows that n > g^4
Proof:
Since k \ge 18:
(115) n \ge 2 \times 3 \times \dots \times 31 \times 37^{k - 11} > 2^{42}\times 37^{k-11} > 2^{5k-18} \ge 2^{4k} \ge g^4
If we imagine the divisors d of n arranged according to size, then 2^{k-1} this divisor is greater than \sqrt{n} > g^2 if k \ge 18 is fulfilled. For each divisor d from n with d > g^2 is either according to (16):
(116) 0 < \Theta_d - \vartheta_d = \frac{g-1}{d} < \frac{g-1}{g^2} < \frac{1}{g}
or according to (17) and (18)
(117) \Theta_d - \vartheta_d = \frac{g-1}{d} - 1; 0 < 1 + \Theta_d - \vartheta_d < \frac{g-1}{g^2} < \frac{1}{g}
The estimates in this work can be improved with greater computational effort, in particular it can be shown that 1 < k^{1/2} < p_1 < \dots < p_k also g < k^{1.7} it follows for k > 659^2 This bound for k can probably be lowered by further calculations.