Abstract
Let \(\zeta (s)\) and Z(t) be the Riemann zeta function and Hardy’s function respectively. We show asymptotic formulas for \(\int _0^T Z(t)\zeta (1/2+it)dt\) and \(\int _0^T Z^2(t) \zeta (1/2+it)dt\). Furthermore we derive an upper bound for \(\int _0^T Z^3(t) \chi ^{\alpha }(1/2+it)dt\) for \(-1/2<\alpha <1/2\), where \(\chi (s)\) is the function which appears in the functional equation of the Riemann zeta function: \(\zeta (s)=\chi (s)\zeta (1-s)\).
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1 Introduction
Let Z(t) be Hardy’s function defined by
where as usual \(\zeta (s)\) is the Riemann zeta-function and \(\chi (s)\) is the gamma factor appearing in the functional equation of \(\zeta (s)\):
The explicit form of \(\chi (s)\) is
and its asymptotic behavior is given by
for \(|t| \ge t_0>0\), where \(t \pm \frac{\pi }{4}=t+\mathrm{sgn}(t)\frac{\pi }{4}\). See Ivić [10].
From (1), it follows that Z(t) is a real-valued even function for real t and \(|Z(t)|=|\zeta (1/2+it)|\). Therefore the zeros of \(\zeta (s)\) on the critical line \(\mathrm{Re}\,s=1/2\) coincide with the real zeros of Z(t). Historically, Hardy proved the infinity of the number of zeros of \(\zeta (s)\) on the critical line in 1914. A little later Hardy and Littlewood gave another proof by showing that \(\int _0^T Z(t)dt \ll T^{7/8}\) and \(\int _0^T|Z(t)|dt \gg T\). See Chandrasekharan [3, Chapter II, §4 and Notes on Chapter II] or Titchmarsh [23, 10.5].
Since \(Z^2(t)= |\zeta (1/2+it)|^2\), 2k-th power moment of Z(t) is equivalent to 2k-th power moment of \(|\zeta (1/2+it)|\). Hardy and Littlewood first showed the asymptotic formula in the case \(k=1\). In fact they showed that
([5, 6]). In 1926, Ingham [9] derived
with \(E(T) \ll T^{1/2}\log T\), where \(\gamma _0\) is Euler’s constant. There are a lot of literatures on E(T) since then. For instance, Atkinson [1] gave an explicit formula for E(T), which becomes the fundamental tool of further researches on E(T). See Ivić [10] for more details. For \(k=2\), among other things, Ingham [9] showed that
with \(E_2(T)=O(T\log ^3 T)\) by applying the famous approximate functional equation of \(\zeta ^2(s)\) of Hardy and Littlewood [7]. Ingham’s result was improved by Heath-Brown [8] to \(E_2(T)=T \sum _{n=0}^4 c_n \log ^n T +O(T^{7/8+\varepsilon })\). Motohashi [21] studied \(E_2(T)\) by the use of spectral theory of automorphic forms. See also Ivić [11] or Titchmarsh [23, 7.20]. Other mean value theorems (of even power) were studied by Hall [4] in connection with the distribution of consecutive zeros of Z(t).
As for odd power moments of Z(t), Ivić [12] proved in 2004 that
It shows that Z(t) changes sign quite often. Ivić’s result was sharpened to \(\int _0^T Z(t)dt \ll T^{1/4}\) by Jutila [17, 18] and Korolev [20] independently. Moreover they showed the Omega result \(\int _0^T Z(t)dt = \varOmega _{\pm }(T^{1/4})\) which was conjectured by Ivić [12]. It means that \(T^{1/4}\) is the true order of \(\int _0^TZ(t)dt.\) Since there are a large amount of cancellations, it is expected that the cubic power moment has an exponent less than 1. In fact, Ivić showed that
and conjectured that
([14, Chapter 11]). Here \(d_3(n)\) denotes the number of triples \((k_1,k_2, k_3)\) such that \(n=k_1k_2k_3, k_j \in \mathbb {Z}, k_j>0\). If we use (4), (5) and the Cauchy-Schwarz inequality we have \(\int _0^T Z^3(t) dt \ll T(\log T)^{5/2}\). The best upper bound at present is due to Bettin, Chandee and Radziwiłł [2] who showed the second ineqality of the following:
It should be noted that \(T (\log T)^{9/4}\) is the correct order of \(\int _0^T|Z(t)|^3dt\).
In this paper we shall prove several mean values of the functions combined with Z(t) and \(\zeta (1/2+it)\).
Theorem 1
For large \(T>0\), we have
We recall that \(\gamma _0\) is Euler’s constant which coincides with the 0-th coefficient of the Laurent expansion of \(\zeta (s)\) at \(s=1\).
Ivić’s conjecture (6) would follow from the bound of exponential sum
or, as Ivić noted [15, (1.6)], from
It seems that (9) (or (8)) is out of reach of the present method of exponential sums. However if we replace \(d_3(n)\) by d(n) (the divisor function \(d(n)=\sum _{n=d_1d_2}1\)), we can prove the following theorem in the frame of Theorem 1.
Theorem 2
Let A be a parameter such that \(A \gg N^{-1/4}\). Then we have
For another kind of mean value of Z(t) and \(\zeta (1/2+it)\) we have
Theorem 3
For large \(T>0\) we have
where \(a_1=3\gamma _0-1, a_2=3\gamma _1+3\gamma _0^2-3\gamma _0+1\), \(\gamma _j\) being the coefficients of the Laurent expansion of \(\zeta (s)\) at \(s=1\).
We note that the integral of the left-hand side has an asymptotic form. It may be interesting to compare with Ivić’s conjecture (6).
As for another mean value, we shall prove the following
Theorem 4
Let \(\alpha \) be a real fixed constant such that \(-1/2< \alpha <1/2\). Then we have
The cubic moment of Hardy’s function corresponds to \(\alpha =0\), but unfortunately this gives only \(O(T^{1+\varepsilon })\).
2 Some Lemmas
Lemma 1
Suppose that f(x) and \(\varphi (x)\) are real-valued functions on the interval [a, b] which satisfy the conditions
1) \(f^{(4)}(x)\) and \(\varphi ''(x)\) are continuous,
2) there exist numbers \(H,A,U,0<H,A<U,0<b-a \le U\), such that
3) \(f'(c)=0\) for some c, \(a \le c \le b\).
Then
This is Lemma 2 of Karatsuba and Voronin [19, p.71].
Remark 1
Here we give an important remark. As is noted in Ivić and Zhai [16], the proof actually shows that if there is no c which satisfies the condition 3, the term containing c does not appear in the right-hand side. Moreover if \(c=a\) or \(c=b\), then the main term is to be halved.
Lemma 2
For \(\frac{1}{2} \le \sigma < 1\) fixed, \(1 \ll x, y \ll t^k, s=\sigma +it, xy=(\frac{t}{2\pi })^k, t \ge t_0\) and \(k \ge 1\) a fixed integer, we have
Here \(\chi (s)\) is the function defined by (2) and \(\rho (u) (\ge 0)\) is a smooth function such that \(\rho (u)+\rho (1/u)=1\) for \(u>0\) and \(\rho (u)=0\) for \(u \ge 2\).
This is Lemma 4 of [16]. See also [14, Theorem 4.16].
For the proof of Theorem 4 we need the following lemma.
Lemma 3
Let \(\alpha , \beta , \gamma \) be fixed real numbers such that \(\alpha (\alpha -1)\beta \gamma \ne 0\) and write \(e(x)=e^{2\pi i x}\). Let
where \(*\) means that
Then we have
This is Theorem 3 of Robert and Sargos [22].
3 Proofs of Theorem 1 and 2
Proof of Theorem 1
We consider the integral
By the definition of Z(t) and applying Lemma 2 we have
where \(xy=(t/2\pi )^2\). Substituting this expression to (10), we have
where
and
We take
and put \(K=\frac{T}{\pi }.\) Then the ranges of k in the sums in (12) and (13) are, in fact, \(k \le 4K \) and \(k \le K\), respectively.
We first consider \(J_1\). Using (3) we find that
hence we have
We evaluate the above integral by applying Lemma 1 with \(\varphi (t)=\rho \left( k\left( \frac{\pi }{t}\right) \right) \) and \(f(t)=\frac{1}{4\pi }(t \log \frac{t}{2\pi }-t-t\log k^2)\). Note that \(\varphi (t)\) satisfies the conditions of Lemma 1 with \(H=1, U=T\). Since \(f'(t_0)=0\) if and only if \(t_0=2\pi k^2\), the main term of the integral appears for k such that
Thus we get
where
for k satisfying the condition (14) and 0 otherwise. This yields that
where \(\sum '\) means that the terms for \(k=(T/2\pi )^{1/2}\) and \(k=(T/\pi )^{1/2}\) are to be halved if they are integers. It is clear that \(R_1 \ll T^{1/2} \log T. \) To estimate \(R_2\), we divide the sum into four parts:
For \(S_1\) and \(S_4\) we have \(\min (\sqrt{T}, \frac{1}{|\log (\frac{T}{2\pi k^2})|}) \ll \frac{1}{\log 4}\), hence we get \(S_1 \ll T^{1/4}\log T\) and \(S_4 \ll T^{1/2} \log T\). For \(S_2\), we write \(k=[(\frac{T}{2\pi })^{1/2}]-j\) for k in this range and divide the sum over j as \(S_2=S_{2,1}+S_{2,2}\), where \(S_{2,1}\) is the sum for \(j=0,1,2\) and \(S_{2,2}\) is the sum for \(3 \le j \le [(\frac{T}{2\pi })^{1/2}]-\frac{1}{2}(\frac{T}{2\pi })^{1/2}\). For \(S_{2,1}\) we use \(\min (\sqrt{T}, \frac{1}{|\log (\frac{T}{2\pi k^2})|}) \le \sqrt{T}\) and hence \(S_{2,1} \ll T^{1/4+\varepsilon }\) since the sum is finite. As for \(S_{2,2}\), from
we have
Thus we get \(S_2 \ll T^{1/4+\varepsilon }\). It is the same for \(S_3\). Combining these estimates we find that \( R_2 \ll T^{1/2}\log T.\) Similarly we have \( R_3 \ll T^{1/2}\log T.\) As a result, we get
Next we consider \(J_2\). Similarly to the case of \(J_1\), we have by (3) that
We apply Lemma 1 to the above integral with \(\varphi (t)=\rho (2k(2\pi /t))\) and \(f(t)=-\frac{3}{4\pi }(t \log \frac{t}{2\pi }-t-t\log k^{2/3})\). In this case \(f'(t_0)=0\) if and only if \(t_0=2\pi k^{2/3}\) and \(t_0\) is contained in the interval [T, 2T] if and only if
Since the range of the sum over k is \(1 \le k \le K\), there are no such k, that is, the integral in (16) does not have a main term. Considering the error term by Lemma 1 we find that
We have clearly \(R_1' \ll T^{1/2}\log T\). For \(R_2'\) and \(R_3'\) we note that \(|\log \frac{T}{k^{2/3}}| \gg 1 \) since \(k \le K\), which implies that \(R_2', R_3' \ll T^{1/2}\log T\). Hence
From (11), (15) and (17), we get
Now dividing the interval [0, T] as \( \cup _j [T/2^j, T/2^{j-1}]\) and summing the above evaluations we have
To evaluate the sum on the right-hand side of (18) we recall that
for \(x \gg 1\) (see, e.g., Ivić [13]), so by partial summation we have
Substituting this form to (18) we finally get
This proves the assertion of Theorem 1. \(\square \)
Proof of Theorem 2
Let A be a parameter such that \(T^{-1/2} \ll A \ll T^{3/2}\). We shall consider the integral
by the same way as in the proof of Theorem 1. Applying Lemma 2 we get
where
and
where \(xy=(\frac{t}{2\pi })^2\). Hereafter we put \( K_0=\left( \frac{T}{\pi }\right) ^{1/2} \). \(\square \)
Now we shall evaluate \(J_{A,1}\) and \(J_{A,2}\) by taking two different choices of x and y, that is,
Case 1 : we take \(x=8A(\frac{t}{2\pi })^{1/2}\) and \(y=\frac{1}{8A}(\frac{t}{2\pi })^{3/2}\),
Case 2 : we take \(x=\frac{A}{4}(\frac{t}{2\pi })^{1/2}\) and \(y=\frac{4}{A}(\frac{t}{2\pi })^{3/2}\).
3.1 Case 1
The ranges of the sums in \(J_{A,1}\) and \(J_{A,2}\) are at most \(k \le 16AK_0\) and \(k \le \frac{1}{4A}K_0^3\), respectively. By (3) and the trivial estimate for the error term we get
We shall evaluate the integral by Lemma 1. Let \(f(t)=\frac{1}{4\pi }(t \log \frac{t}{2\pi }-t-t\log (\frac{k}{A})^2)\). Then \(f'(t_0)=0\) if and only if \(t_0=2\pi (\frac{k}{A})^2\) and \(T \le t_0 \le 2T\) if and only if
We find that all k satisfing (23) are contained in the range \(k \le 16AK_0\). Therefore the integral in (22) has a main term which is given by
for \(A(\frac{T}{2\pi })^{1/2} \le k \le A(\frac{T}{\pi })^{1/2}\) and \( M_A(k)=0 \) otherwise. We note that \(\rho (1/8)=1\) in the above formula. It follows from Lemma 1 and (22) that
Similarly to the proof of Theorem 1, we see that the contributions from the O-terms are bounded by \(O(A^{1/2}T^{1/4+\varepsilon }+A^{-1/2}T^{1/4+\varepsilon })\). Hence we get
Next we consider \(J_{A,2}\). Similarly to \(J_{A,1}\) we have
If we put \(f(t)=-\frac{3}{4\pi }(t \log \frac{t}{2\pi }-t-t\log (Ak)^{2/3})\) this time, \(f'(t_0)=0\) if and only if \(t_0=2\pi (Ak)^{2/3}\) and so \(T \le t_0 \le 2T\) if and only if
Since k runs in the range \(1 \le k \le \frac{1}{4A}K_0^3\), there is no main term in the integral of \(J_{A,2}\). Hence by Lemma 1, we get similarly that
From (19), (24) and (26), we obtain
3.2 Case 2
In this choice of x and y, the sums in (20) and (21) are actually over \(k \le \frac{1}{2} A K_0\) and \(k \le \frac{8}{A}{K_0}^3\), respectively. Thus
and
As for \(J_{A,1}\), the integral has a main term if and only if k satisfies (23). Since k runs over \(1 \le k \le \frac{A}{2} K_0\), there are no such k. The contribution from the error term of the integral is the same as in the previous case since the range of the sum has the same order, hence we get
On the other hand, the integral of \(J_{A,2}\) has a main term if and only if k satisfies (25), and in fact all k are in the range \(k \le \frac{8}{A}K_0^3\). Hence by Lemma 1, \(J_{A,2}\) has the following form:
where
for \(\frac{1}{A}(\frac{T}{2\pi })^{3/2} \le k \le \frac{1}{A}(\frac{T}{\pi })^{3/2}\) and 0 otherwise. We see that the contribution from the O-term is the same as the previous case, therefore
From (28) and (29) we obtain that
Now we have two expressions of \(J_A\): (27) and (30). Comparing these expressions we obtain
where the last inequality is obtained by the trivial estimate. In (31), we take \(T=2\pi (AN)^{2/3}\). Then (31) is transformed to
for \(A \gg N^{-1/4}\). This proves the assertion of Theorem 2.
4 Proof of Theorem 3
Since the method is similar to Theorem 1, we shall only give an outline of proof. Let
This time we have
where \(xy=(\frac{t}{2\pi })^3\).
We take \(x=2(\frac{t}{2\pi })^{3/2}\) and \(y=\frac{1}{2}(\frac{t}{2\pi })^{3/2}\) in (32) and put \(K_3=(T/\pi )^{3/2}\). Then the ranges of k in the above two sums are at most \(k \le 4K_3\) and \(k \le K_3\), respectively. Hence
As for \(I_2\), using (3), we get
As in the pevious case, we apply Lemma 1 to the above integral with \(\varphi (t)=\rho \left( 2k \left( \frac{2\pi }{t}\right) ^{3/2}\right) \) and \(f(t)=-\frac{1}{\pi }(t \log \frac{t}{2\pi }-t-t\log \sqrt{k}) \). Then we find that \(f'(t_0)=0\) if and only if \(t_0=2\pi \sqrt{k}\), and this \(t_0\) is contained in the interval [T, 2T] if and only if
Since k runs over the range \(1 \le k \le K_3\), there is no k which satisfies (34), hence the main term does not appear in this integral. On the other hand, the error term of this integral is given by
hence
Next we treat \(I_1\). By (3) again, we have
In this case \(\varphi (t)=\rho (k(\frac{2\pi }{t})^{3/2}/2)\) and \(f(t)=\frac{1}{2\pi }(t \log \frac{t}{2\pi }-t-t\log k)\). We see that \(f'(t_0)=0\) if and only if \(t_0=2\pi k\) and this \(t_0\) is contained in [T, 2T] if and only if
Therefore we have
where M(k) is the main term given by
for k such that \(\frac{T}{2\pi } \le k \le \frac{T}{\pi }\) and 0 otherwise. Therefore we get
Here we can get the last O-term by the same way as in the previous case. Combining (33), (35) and (36), we obtain
Now dividing the interval [0, T] as \( \cup _j [T/2^{j}, T/2^{j-1}]\) and summing the above estimate we obtain that
Theorem 3 follows from the well-known formula:
where \(\gamma _j\) is the coefficients of the Laurent expansion of \(\zeta (s)\) at \(s=1\).
5 Proof of Theorem
To prove Theorem , we put
where \(\alpha \) is a fixed constant such that \(-1/2<\alpha <1/2\). This time we have
where
and
where \(xy=(\frac{t}{2\pi })^3\). We only sketch an outline of evaluations of \(I_j(\alpha )\).
Assume that \(0 \le \alpha < \frac{1}{2}\). We take \(x=2(\frac{t}{2\pi })^{1/2}\) and \(y=\frac{1}{2}(\frac{t}{2\pi })^{1/2}\) and put \(K_4=(\frac{T}{\pi })^{3/2}\). Then the range of k in the sum of (37) and (38) are at most \(1 \le k \le 4K_4\) and \(1 \le k \le K_4\), respectively.
The integral in (37) becomes
The main term of this integral appears only when
in which case it is given by
By Lemma 1 again, we get
Just in the same way as the previous cases, we can see easily that the above O-term is estimated as \(O(T^{3/4}\log ^2 T)\).
On the other hand, for \(I_2(\alpha )\), the main term does not appear from the integral by the assumption \(0 \le \alpha <1/2\) and the sum over k is estimated as \( O(T^{3/4} \log ^2 T)\).
Now it remains to evaluate the sum over k in (39). Let
By partial summation we may have
Considering the definition of \(d_3(k)\), it is reduced to the estimate of the sum of the form
where \(\delta =\frac{1}{3/2-\alpha }\), c is a real constant and \((\frac{T}{2\pi })^{3/2-\alpha } \le T_1 \le \frac{1}{2}(\frac{T}{\pi })^{3/2-\alpha }\). Since \(\delta \ne 0, 1 \) we can apply Lemma 3. Divide the summation condition in \(S_1\) into \(O(\log ^3 T)\) subintervals of the form \((k_1,k_2,k_3) \in [H, 2H]\times [N,2N]\times [M,2M]\). By symmetry of \(k_j\), we can assume that M is the largest, hence \(M \gg T_1^{1/3}\). Now applying Lemma 3 to the sum \(S_1\) by taking \(X=(HNM)^{\delta } \asymp T_1^{\delta }\), we find that
Here the last inequality follows from the assumption \(0 \le \alpha <1/2.\) By (40), (41) and \(T_1 \asymp T^{3/2-\alpha }, \ \delta =\frac{1}{3/2-\alpha }\) we find that
This proves the assertion in the case \(0 \le \alpha <1/2\).
In the case \(-1/2< \alpha \le 0\), we take \(x=\frac{1}{2}(\frac{t}{2\pi })^{3/2}\) and \(y=2(\frac{t}{2\pi })^{3/2}\). Then the main term arises from the integral corresponding \(I_2(\alpha )\) and the assertion is proved similarly. We omit the details in this case.
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Cao, X., Tanigawa, Y. & Zhai, W. Some mean value results related to Hardy’s function. Res. number theory 7, 30 (2021). https://doi.org/10.1007/s40993-021-00255-z
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DOI: https://doi.org/10.1007/s40993-021-00255-z