EXPLICIT ESTIMATE ON PRIMES BETWEEN CONSECUTIVE CUBES 8 Cheng, Yuan-You Fu-Rui 0 0 2 Abstract. We give an explicit form of Ingham’s Theorem on primes in the short intervals, and show that there is at least one prime between every two consecutive ct cubes x3 and(x+1)3 ifloglogx≥15. O 2 1 1. Introduction ] Studies about certain problems in number theory are often connected to those T about the distribution of the prime numbers; problems about the distribution of N primes are among the central ones in number theory. One problem concerning the . h distributionofprimesisthedistributionofprimesincertainintervals. Forexample, t Bertrand’s postulate asserts that there is a number B such that, for every x > 1, a m there is at least one prime number between x and Bx. If the interval [x,Bx] is replaced by a “short interval” [x,x+xθ], then the problem is more difficult. [ In1930,Hoheiselshowedthatthereisatleastoneprimeintheabovementioned 1 “shortinterval”withθ =1 1 forsufficientlylargex’s,see[13]. Ingham[15],in v −33,000 3 1941,provedthatthereisatleastoneprimein[x,x+x3/5+ǫ],whereǫisanarbitrary 1 positive number tending to zero whenever x is tending to infinity, for “sufficiently 1 large” x’s. This implies that there is at least one prime between two consecutive 2 cubes if the numbers involvedare “largeenough.” One of the better results in this . 0 direction, conjectured by using the Riemann Hypothesis, is that there is at least 1 one prime between [x,x+x1/2+ǫ] for “sufficiently large” x’s. The latter has not 8 been proved or disproved; though better results than Hoheisel’s and Ingham’s are 0 available. For example, one may see [2, 3, 12, 15, 17, 18, 19, 26, 28]. : v Thesekindsofresultswouldhavemanyusefulapplicationsiftheywere“explicit” i X (with all constants being determined explicitly). For references in other directions withexplicitresults,onecansee[4,8,22,23,24,25]. Tofigureoutthe“sufficiently r a large” x’s related to θ as mentioned above, one needs to investigate the proof in a “slightly different” way. As a starting step in this direction, we study the distributionofprimesbetweenconsecutivecubes. Inthisarticle,wegiveanexplicit form of Ingham’s Theorem; specifically, we show that there is at least one prime between consecutive cubes if the numbers involved are larger than the cubes of x 0 2000Mathematics Subject Classification. 11Y35,11N05. Keywords and phrases. Ingham’sTheorem,Primesinshortinterval,explicitestimates,Den- sityTheorem,Divisors. I wish to thank the referee for many helpful comments including an improved version for Lemma3.2. TypesetbyAMS-TEX 1 2 CHENG, YUAN-YOU FU-RUI where x =exp(exp(15)) and we also set T =exp(exp(18)) throughout this paper 0 0 accordingly. Our main task is to prove the Density Theorem or to estimate the number of zeros in the strip σ > 1 for the Riemann zeta function, see Theorem 1 in the 2 follows. We let β = (ρ) and I (u) be the unit step function at the point u = β; β ℜ that is, I (u) = 1 for 0 u β and I (u) = 0 for β < u 1. One defines β β ≤ ≤ ≤ N(u,T):= I (u) and N(T):=N(0,T). 0≤ℑ(ρ)<T β Theorem 1P. Let 5 σ <1 and T T . One has 8 ≤ ≥ 0 N(σ,T) CDT8(13−σ) log5T, ≤ where C :=453472.54. D Theorem 2. Let x x , h 3x2/3 and C be defined in Theorem 1. Then 0 D ≥ ≥ ψ(x+h) ψ(x) h(1 ǫ(x)), − ≥ − where 1 1 log x 3 ǫ(x) :=3192.34exp . | | −273.79(cid:18)loglog x(cid:19) ! Theorem 3. Let x exp(exp(45)) and h 3x23. Then ≥ ≥ 1 1 log x 3 π(x+h) π(x) h 1 3192.34exp . − ≥ − −283.79 loglog x !! (cid:18) (cid:19) Corollary. Let x exp(exp(15)). Then there is at least one prime between each ≥ pair of consecutive cubes x3 and (x+1)3. The proof of Theorem 1 is delayed until Section 5. We shall prove Theorem 2 and 3 in Section 2. The proof of Theorem 2 is based on Theorem 1 and Laudau’s approximate formula, which is in Section 6. Then, it is not difficult to prove Theorem 3 from Theorem 2, as shown in Section 2. 2. Proof of Theorem 2 and 3 From [25], one has T log T N(T) +?? ??. ≤ 2π − The following proposition follows straightforward. Proposition 2.1. For T 6, one has N(T) TlogT. ≥ ≤ 2π Proposition 2.2. Let C be defined in Theorem 1. Assume that the Riemann D zeta-function does not vanish for σ > 1 z(t). Suppose that T T < x3/8. For 0 − ≤ any h>0, one has (x+h)ρ xρ 2CDT38z(t)logxlog5T − h. (cid:12) ρ (cid:12)≤ xz(t)(log x 8log T) (cid:12)(cid:12)|ℑ(Xρ)|≤T (cid:12)(cid:12) − 3 (cid:12) (cid:12) (cid:12) (cid:12) (cid:12) (cid:12) EXPLICIT ESTIMATE ON PRIMES BETWEEN CONSECUTIVE CUBES 3 Proof. Notes that (x+h)ρ xρ x+h − = uρ−1du hxβ−1, where β = (ρ) is t(cid:12)(cid:12)(cid:12)(cid:12)he realρpart of(cid:12)(cid:12)(cid:12)(cid:12)ρ; (cid:12)(cid:12)(cid:12)(cid:12)(cid:12)Zx (cid:12)(cid:12)(cid:12)(cid:12)(cid:12)≤ ℜ β xβ =1+log x xudu; Z0 and β 1 xudu= xuI (u)du, β Z0 Z0 where I (u) is the unit step function or I (u)=1 for 0 u β and I (u)=0 for β β β ≤ ≤ β <u 1. After interchanging the summation and integration, one has ≤ (x+h)ρ xρ h − xβ (cid:12) ρ (cid:12)≤ x (2.1) (cid:12)(cid:12)|ℑ(Xρ)|≤T (cid:12)(cid:12) |ℑ(Xρ)|≤T (cid:12) (cid:12) (cid:12) h (cid:12) 1 (cid:12) (cid:12) 1+logx xu I (u) du . β ≤ x |ℑ(Xρ)|≤T Z0 |ℑ(Xρ)|≤T If the Riemann zeta-function does not vanish in the region σ > 1 z(t), then the − expression in the outmost parenthesis in (2.1) is bounded by 5 1−z(t) 8 (2.2) 2N(0,T)+2N(0,T)logx xudu+2logx xuN(u,T)du. Z0 Z85 SinceT 6,onecanapplyProposition2.1. Thesumofthefirsttwotermsin(2.2) ≥ 5/8 x5/8T logT (2.3) 2 1+logx xudu N(0,T)=2x5/8N(0,T) . Z0 ! ≤ π From Theorem 1, one sees that the last term in (2.2) is bounded by 1−z(t) (2.4) 2CDlog xlog5T xuT38(1−σ)du Z5/8 1−z(t) x u =2CDT38 logxlog5T T8/3 du Z5/8 (cid:16) (cid:17) 2CDT38 logxlog5T x 1−z(t) x 85 = log x− 83log T (cid:18)T83(cid:19) −(cid:18)T83(cid:19) ! 2CDxT83z(t)logxlog5T 2CDx85T logxlog5T = . xz(t)(log x 8log T) − log x 8log T − 3 − 3 4 CHENG, YUAN-YOU FU-RUI Oneseesthatthesumoftheupperboundin(2.3)andthesecondtermontheright side in (2.4) is negative. Finally, one combines (2.1) and the first term in the last expression in (2.4) to finish the proof of Lemma 2.1. (cid:3) Proof of Theorem 2. From Lemma 9.1 and Proposition 2.2, one sees that ψ(x+h) ψ(x)=h+hǫ(x), − with 1 (x+h)ρ xρ ǫ(x) − + E(x+h) + E(x) | |≤ h(cid:12) ρ (cid:12) | | | | (cid:12)(cid:12)|ℑ(ρX)|≤Tu (cid:12)(cid:12) (2.5) 2CD(cid:12)(cid:12)T83z(t)log xlog5T (cid:12)(cid:12) (x+h)log2(x+h) (cid:12) +10(cid:12).52 + ≤ xz(t)(log x 8log T) hT − 3 (x+h)log2T log2T +66.976 +6 . hTlogx hx Let 3x32 h. Also, let ≤ 1 1 1 log x 3 T =T(x):=x3 exp , 256.59 loglog x (cid:18) (cid:19) ! with some undetermined constant u>1. Then, 1 1 1 log x 3 log T = log x+ 0.34log x, 3 256.59 loglog x ≤ (cid:18) (cid:19) loglog T loglog x, ≤ and 1 8 8 8 log x 3 T3 =x9 exp . 3 256.59 loglog x ! × (cid:18) (cid:19) From [10], it is known that the Riemann zeta function does not vanish for T ≥ 1 z(T) with − 1 z(T)= . 58.51log2/3T(loglogT)1/3 Let Z(x):=z(T(x)). Then 1 Z(x) , ≥ 28.51log2/3x(loglog x)2/3 Z(x) x z(T) x19 (cid:18)T38(cid:19) ≥ exp 8 logx 13 3×256.59 loglogx (cid:18) (cid:16) (cid:17) (cid:19) 1 1 log x 3 8 =exp . 256.59(cid:18)loglog x(cid:19) − 3 256.59 28.51log31 x(loglog x)1o3r2! × × EXPLICIT ESTIMATE ON PRIMES BETWEEN CONSECUTIVE CUBES 5 It follows that for x exp(exp(45)) the right side in (2.5) is bounded from above ≥ by 1 1 1 log x 3 1 log x 3 3192.34exp +1.76exp + −273.79(cid:18)loglog x(cid:19) ! −256.6(cid:18)loglog x(cid:19) ! 1 log x 13 0.24log2+4.65log x+260.48 +2.59exp + . −256.6(cid:18)loglog x(cid:19) ! x Conclude that one has proved Theorem 2. (cid:3) Proof of Theorem 3. By definition of π(x) and ψ(x), one has logp π(x+h) π(x)= 1 − ≥ logx x<p≤x+h x<p≤x+h X X ψ(x+h) ψ(x) h = − (1 ǫ(x)). logx ≥ logx − This finishes the proof of Theorem 3. (cid:3) Proof of Corollary. Let X =x3 and h=(x+1)3 x3. Then h 3x2 =3X32. By − ≥ Theorem 3, 3x2 π (x+1)3 π x3 1 ǫ(x3) >1. − ≥ 3log x − This proves the cor(cid:0)ollary. (cid:3)(cid:1) (cid:0) (cid:1) (cid:0) (cid:1) 3. Three auxiliary functions Three auxiliary functions U , V , and W are introduced in this section. For ref- A A A erences, one may see [4], [17], [26]. Definitions of Three Auxiliary Functions. LetAbe apositiveinteger. Define A µ(n) U (s)= . A ns n=1 X Here µ is the Mo¨bius µ-function. Then, V (s)=ζ(s)U (s) 1, W (s)=1 V2(s). A A − A − A Lemma 3.1. Let ν(n)= µ(m). Then ν(n) d(n) and m≤A:m|n | |≤ P ν(n) V (s)= . A ns n>A X Every non-trivial zero of ζ(s) is a zero of W (s). A 6 CHENG, YUAN-YOU FU-RUI Lemma 3.2. One has 7.9 V (2+it)2 . A | | ≤ A If A 8, then both (W (2+it)) and W (2+it) does not vanish; if A 16, then A A ≥ ℜ ≥ V (2+it)2 < 1 and W (2+it) > 1. | A | 2 | A | 2 Lemma 3.3. Let b =5.134. For σ 1 and t 3.297, one has 1 ≥ 4 ≥ V (s) t3/2, A | |≪ and 16 16 W (s) A3/4t3/2+b A3/4t1/2 A3/4t3/2+b A3/4t1/2+2 . A 1 1 | |≤ 9 9 (cid:18) (cid:19)(cid:18) (cid:19) Proof of Lemma 3.1. Easy. (cid:3) Proof of Lemma 3.2. We may assume A 5. Observe ≥ d(n) 1 1 1 =ζ(2) + n2 m2 m2 n2 nX>A mX>A mX≤A nX>mA ζ(2) 1 1 + ≤ A m2 A m≤A m X ζ(2) (cid:4) (cid:5)1 1 + + ≤ A m(A m) m2 m≤XA2+1 − A2+1X<m≤A ζ(2) 1 4 log(A 1) 1 + + + − + ≤ A A 1 A2 4 A A − − 2.8 < A for A 5. (cid:3) ≥ One needs the following proposition. Proposition 3.1. Let σ 1 and t 3.297. Then ≥ 4 ≥ ⌊t2⌋ 1 ζ(s)= +B(s), ns n=1 X where B(s) b t1/2 with b :=5.134. 1 1 | |≤ Proof. Note that in [4], [17], [26] N 1 ∞ u [u] 1 ζ(s)= s − du+ (σ >0,s=1). ns − us+1 (s 1)Ns−1 6 n=1 ZN − X EXPLICIT ESTIMATE ON PRIMES BETWEEN CONSECUTIVE CUBES 7 From this, we have 1 N1−σ 1 1 t ζ(s) + + (σ >0,s=1). (cid:12)(cid:12) −n≤N ns(cid:12)(cid:12)≤ t sσ02 t20Nσ 6 (cid:12) X (cid:12) (cid:12) (cid:12) Using this id(cid:12)(cid:12)entity, Proposi(cid:12)(cid:12)tion 3.1 follows. (cid:3) Proof of Lemma 3.3. Using its definition, one sees that A 1 U (s) . | A |≤ nσ n=1 X If 0<σ <1, one gets A 1 A1−σ U (s) du= ; | A |≤ uσ 1 σ Z0 − if σ 1, one has ≥ A 1 U (s) log A+1. A | |≤ n ≤ n=1 X For σ 1, one obtains ≥ 4 4 4 (3.2) U (s) max A3/4,log A+1 A3/4. A | |≤ 3 ≤ 3 (cid:26) (cid:27) Similarly, one gets ⌊t2⌋ 1 4 t3/2. nσ ≤ 3 n=1 X Combining with the result in Proposition 3.2, one has 4 (3.3) ζ(s) t3/2+b t1/2, 1 | |≤ 3 for σ 1 and t 3.297. ≥ 4 ≥ Recalling the definition of V (s) one has A V (s) ζ(s) U (s) +1; A A | |≤| || | from (3.1), one gets W (s) ζ(s) U (s)(2+ ζ(s) U (s)). A A A | |≤| || | | || | Conclude with (3.2) and (3.3) that one proves Lemma 3.3. (cid:3) 8 CHENG, YUAN-YOU FU-RUI 4. Representing the number of zeros by an integral Notation N (σ,T). Let F(s) be a complex function and T > 0. The notation F N (σ,T)expressesthe numberofzerosinthe formβ+iγ forF(s)withσ β and F ≤ 0 γ <T. ≤ It is well known that ζ(s) does not vanish for σ 1; so one may restrict our ≥ discussion to σ <1. Lemma 4.1. Let T =14 and A 16. Then for σ <σ <1 and T T , one has 1 0 1 ≥ ≥ 1 1 T (594?)16T N (σ;T) V (σ +it)2 dt+ +1+c (T) , ζ A 0 A ≤ σ−σ0 2π ZT1 | | 2πA ! with 3/2 1/2 log 16A3/4 T + 7 +b A3/4 T + 7 9 4 1 4 cA(T):= (cid:18) (cid:16) (cid:17) (cid:16) (cid:17) (cid:19) log(7/6) 3/2 1/2 log 16A3/4 T + 7 +b A3/4 T + 7 +2 9 4 1 4 log 2 + (cid:18) (cid:16) (cid:17) (cid:16) (cid:17) (cid:19) + . log(7/6) log(7/6) Corollary. Let A 595T and T exp(exp(18)). Then ≤ 594 ≥ c (T) 29.193log T +11.978. A ≤ Notation N (σ;T,T ). LetF(s), σ, andT as in the lastdefinition. The notation F 1 N (σ;T,T ) expresses the number of zeros in the form β+iγ for F(s) with σ β F 1 ≤ and T γ <T. 1 ≤ Bedefinition,oneseesthatN (σ;T,T )=N (σ,T) N (σ,T )foranycomplex F 1 F F 1 − function F. Note here, see [9] or [17], that there is no zero for the Riemann zeta functionζ(σ+it)for0 t 14. IfonetakesT =14,thenN (σ;T,T )=N (σ,T). 1 ζ 1 ζ ≤ ≤ For an analytic function, a zero is isolated and the number of zeros in any compact region is finite. Fix σ and T. Let ǫ , ǫ , and ǫ be sufficiently small 1 2 3 positive numbers and λ=σ ǫ and T =T +ǫ . One may assume that λ is not 1 2 2 − therealpartandT isnottheimaginarypartsofanyzerosforthefunctionW (s). 2 A Recalling the second part of Lemma 3.1, one gets the following proposition. Proposition 4.1. Let T =14 and ǫ and ǫ be small positive numbers such that 1 1 2 λ = σ ǫ is not the real part and T = T +ǫ is not the imaginary part of any 1 2 2 − zero for the function W (s). Then A N (σ,T) N (λ;T ,T ). ζ ≤ WA 2 1 EXPLICIT ESTIMATE ON PRIMES BETWEEN CONSECUTIVE CUBES 9 Let σ < λ. Since N (λ;T ,T ) is a non-increasing function of λ by the 0 WA 2 1 definition, one sees that 1 λ N (λ;T ,T ) N (ρ;T ,T )dρ. WA 2 1 ≤ λ σ WA 2 1 − 0 Zσ0 Noting that λ 2 N (ρ;T ,T )dρ N (ρ;T ,T )dρ, WA 2 1 ≤ WA 2 1 Zσ0 Zσ0 one has the next proposition. Proposition 4.2. Let σ <λ<1 and T >T . Assume that λ is not the real part 0 2 1 and T is not the imaginary part of any zero for W (s). Then 2 A 1 2 N (λ;T ,T ) N (ρ;T ,T )dρ. WA 2 1 ≤ λ σ WA 2 1 − 0 Zσ0 Using the arguments in [26, p.213 and p.220], one gets the following result. Proposition 4.3. Let 1 < σ < 2. Assume that T is not the imaginary part 2 0 2 of any zero for W (s). Also, let be the number of zeros for (W (s)) on the A k A N ℜ segment between σ +it and 2+it on the line t=T for k =1 and 2 respectively. 0 k Then 2 1 T2 W (σ +it) + A 0 1 2 (4.5) N (ρ;T ,T )dρ log | | dt+ N N +1. WA 2 1 ≤ 2π W (2+it) 2 Zσ0 ZT1 (cid:18) | A | (cid:19) The following result can be found in [4]. Proposition 4.4. Suppose that s is a fixed complex number and f is a complex 0 function non-vanishing at s and regular for s s < R for positive number R. 0 0 | − | Let 0 < r < R and M = max f(s). Then the number of zeros of f in f |s−s0|=R| | s s r, denoted by , multiple zeros being counted according to their order 0 f | − | ≤ N of multiplicity satisfies the following inequality. logM log f(s ) f 0 − | |. f N ≤ logR logr − Proof of Lemma 4.1. From Proposition 4.1, 4.2, and 4.3, one has 1 1 T2 W (σ +it) + A 0 1 2 (4.6) N(σ,T) log| |dt+ N N +1 , ≤ λ−σ0 2π ZT1 |WA(2+it)| 2 ! where λ=σ ǫ as T =T +ǫ as in Proposition 4.1. 1 2 2 − Clearly, we have 1 (W (σ+it))= W (σ+it)+W (σ it) . A A A ℜ 2 − (cid:16) (cid:17) 10 CHENG, YUAN-YOU FU-RUI Thenumberofzerosof (W (s))on arethesameforthefollowingregularfunc- A k ℜ S tions 1 W(k)(s)= (W (s+iT )+W (s iT )) 0 2 A k A − k on the real axis between σ and 2. 0 First,oneappliesProposition4.4toestimatethenumber ′ ofzerosforW(k)(s) Nk 0 in s 2 3. It is obvious that ′ . One takes s = 2, R = 7, r = 3. | − | ≤ 2 Nk ≤ Nk 0 4 2 Recalling (4.7) and Lemma 3.3, one acquires 1 max W(k)(s) ( max W (s+iT ) + max W (s iT )) |s−2|=3 0 ≤ 2 |s−2|=3| A k | |s−2|=3| A − k | 2(cid:12) (cid:12) 2 2 (cid:12) (cid:12) 7 7 (cid:12) max(cid:12) W (s+iT ) W(1) T + W(1) T + , ≤|s−2|=3| A k |≤ A k 4 ≤ A 2 4 2 (cid:18) (cid:19) (cid:18) (cid:19) where W(1)(t) is the upper bound of W (s) in Lemma 3.3. Letting ǫ tend to A | A | 2 zero, one sees that 7 max W(k)(s) W(1) T + . |s−2|=3| 0 |≤ A 4 2 (cid:18) (cid:19) Also, recall that W (2+it) > 1 from Lemma 3.2. This implies | 0 | 2 log W(1) T + 7 log(1/2) c (T):= A 4 − , k A N ≤ log(7/6) (cid:0) (cid:1) for k =1 and 2. Hence, + 1 2 (4.8) N N c (T). A 2 ≤ Now, transform the integral in (4.6) into a one involving the function V (s) A instead of W (s). A Recalling the definition of W (s), using the triangular inequality in the form A x y x + y , and noting that log(1+x) x for x>0, one has | − |≤| | | | ≤ log W (σ +it) =log 1 V2(σ +it) A 0 0 (4.9) | | | − | log(1+ V (σ +it)2) V (σ +it)2. A 0 A 0 ≤ | | ≤| | Also, by the triangular inequality in the form x y x y , one gets 1 | − | ≥ | |−| | | − V2(1+it) 1 V (1+it)2. Using the increasing property of the logarithmic A | ≥ −| A | function, one sees that log 1 V2(2+it) log(1 V (2+it)2). It follows that | − A |≥ −| A | log W (2+it) = log 1 V2(2+it) log(1 V (2+it)2). − | A | − | − A |≤− −| A | From the last part of Lemma 3.2, one sees that V (2+it)2 < 1 since A 16. | A | 2 ≥ Applying log(1 x)<2x for 0<x< 1, one acquires − − 2 7.9 (4.10) log W (2+it) 2V (2+it)2 < . A A − | |≤ | | A