Analytic Number Theory Exponent Database

9 Moment growth for the zeta function

Definition 9.1 Zeta moment exponents
#

For fixed \(\sigma \in \mathbf{R}\) and \(A \geq 0\), we define \(M(\sigma ,A)\) to be the least (fixed) exponent for which the bound

\[ \int _T^{2T} |\zeta (\sigma +it)|^A\ dt \ll T^{M(\sigma ,A)+o(1)} \]

holds for all unbounded \(T {\gt} 1\).

Such moments may be interpreted as the “average" order of the Riemann zeta function. It is not difficult to show that \(M(\sigma ,A)\) is a well-defined (fixed) real number. A non-asymptotic definition is that it is the least constant such that for every \(\varepsilon {\gt}0\) there exists \(C{\gt}0\) such that

\[ \int _T^{2T} |\zeta (\sigma +it)|^A\ dt \leq C T^{M(\sigma ,A)+\varepsilon } \]

holds for all \(T \geq C\).

Lemma 9.2 Basic properties of \(M(\sigma ,A)\)
  • \(M(\sigma ,A)\) is convex in \(\sigma \).

  • For any \(\sigma \), \(a (M(\sigma ,1/a)-1)\) is convex non-increasing in \(a\).

  • \(M(\sigma ,A)=1\) for all \(A \geq 0\) and \(\sigma \geq 1\).

  • \(M(\sigma ,A) \geq 1\) for all \(A \geq 0\) and \(1/2 \leq \sigma \leq 1\).

  • \(M(\sigma ,0) = 1\) for all \(\sigma \).

  • \(M(1-\sigma ,A) = M(1-\sigma ,A) + (1/2-\sigma ) A\) for all \(\sigma \in \mathbf{R}\) and \(A \geq 0\).

  • For any \(\sigma \), \(a(M(\sigma ,1/a)-1)\) converges to \(\mu (\sigma )\) as \(a \to 0\). In particular (by previous properties), \(M(\sigma ,A) \leq A \mu (\sigma ) + 1\) for all \(\sigma \geq 0\) and \(A \geq 0\), and also \(M(\sigma ,A) \leq M(\sigma ,A_0) + \mu (\sigma )(A-A_0)\) for \(\sigma \geq 0\) and \(A \geq A_0 \geq 0\).

Proof

The claim (i) follows from the Phragmen-Lindelöf principle. The claim (ii) follows from Hölder. The claim (iii) follows from standard upper and lower bounds on \(\zeta (\sigma +it)\) for \(\sigma \geq 1\). The claim (iv) follows from (i)-(iii), and (v) is trivial. The claim (vi) follows easily from the functional equation.

For (vii), the bound \(M(\sigma ,A) \leq A \mu (\sigma ) + 1\) is trivial, which implies that

\[ \lim _{a \to 0} a(M(\sigma ,1/a)-1) \leq \mu (\sigma ). \]

Suppose for contradiction that

\[ \lim _{a \to 0} a(M(\sigma ,1/a)-1) {\lt} \mu (\sigma ), \]

thus there is \(\delta {\gt}0\) such that

\[ M(\sigma ,A) \leq A (\mu (\sigma )-\delta ) + 1 \]

for all \(A\geq 0\). By convexity, this gives

\[ M(\sigma +\varepsilon ,A) \leq A (\mu (\sigma )-\delta /2) + 1 \]

for all sufficiently small \(\varepsilon \), and then by the Cauchy integral formula and Hölder’s inequality we can conclude that

\[ |\zeta (\sigma +\varepsilon /2 +it)| \ll |t|^{\mu (\sigma )-\delta /2 + O(1/A) + o(1)} \]

for unbounded \(|t|\), leading to

\[ \mu (\sigma +\varepsilon /2) \leq \mu (\sigma )-\delta /2 + O(1/A). \]

Sending \(A\) to infinity and \(\varepsilon \) to zero, we obtain a contradiction.

Corollary 9.3 Relationship with Lindelöf hypothesis

If the Lindelöf hypothesis holds, then \(M(\sigma ,A) = 1 + \max (1/2-\sigma ,0) A\) for all \(\sigma \in \mathbf{R}\) and \(A \geq 0\). Conversely, if \(M(1/2, A) = 1\) for arbitrarily large \(A \ge 0\), then the Lindelöf hypothesis is true.

Note from Lemma 9.2 that we always have the lower bound \(M(\sigma ,A) \geq 1 + \max (1/2-\sigma ,0) A\). Thus there are not expected to be any further lower bound results for \(M(\sigma ,A)\), and we focus now on upper bounds. Compared to the pointwise estimates \(\mu (\sigma )\) of \(\zeta (\sigma + it)\), which are currently open for all \(0 {\lt} \sigma {\lt} 1\), more are known about moment estimates \(M(\sigma , A)\). In particular,

Lemma 9.4

One has \(M(1/2,A)=1\) for all \(0 \leq A \leq 4\).

Proof

Follows from Hölder’s inequality and the standard estimates

\[ \int _T^{2T} |\zeta (1/2+it)|^2\ dt = T^{1+o(1)} \]

and

\[ \int _T^{2T} |\zeta (1/2+it)|^4\ dt = T^{1+o(1)} \]

for any unbounded \(T{\gt}1\), due to [ 95 ] and [ 96 ] respectively.

From Lemma 9.2 and Lemma 9.4 we may restrict attention to the region \(1/2 \leq \sigma \leq 1\) and \(A \geq 4\).

9.1 Relationship to zeta large value estimates

We can relate \(M(\sigma ,A)\) to \(\mathrm{LV}_\zeta (\sigma ,\tau )\):

If \(1/2 \leq \sigma _0 \leq 1\) and \(A \geq 1\), then

\begin{equation} \label{M-form} M(\sigma _0,A) = \sup _{\tau \geq 2; \sigma \geq 1/2} (A(\sigma -\sigma _0) + \mathrm{LV}_\zeta (\sigma ,\tau ))/\tau . \end{equation}
1

In particular, one has

\[ \mathrm{LV}_\zeta (\sigma ,\tau ) \leq \tau M(\sigma _0,A) - A(\sigma -\sigma _0) \]

whenever \(\sigma \geq 1/2\) and \(\tau \geq 2\).

Proof

We first show the lower bound, or equivalently that

\[ A(\sigma -\sigma _0) + \mathrm{LV}_\zeta (\sigma ,\tau ) \leq \tau M(\sigma _0,A) - A(\sigma -\sigma _0) \]

whenever \(\tau \geq 2\) and \(\sigma \geq 1/2\). Accordingly, let \(N\) be unbounded, \(T = N^{\tau +o(1)}\), \(I \subset [N,2N]\), and \(W\) be a \(1\)-separated subset of \([T,2T]\) such that

\[ |\sum _{n \in I} n^{-it}| \gg N^{\sigma +o(1)} \]

for \(t \in W\). By standard Fourier analysis (or by Perron’s formula and contour shifting), this gives

\[ \int _{T/2}^{3T} |\zeta (\sigma _0+it')|\ \frac{dt}{1+|t'-t|} \gg N^{\sigma - \sigma _0 + o(1)} \]

and hence by Hölder

\[ \int _{T/2}^{3T} |\zeta (\sigma _0+it')|^A\ \frac{dt'}{1+|t'-t|} \gg N^{A(\sigma - \sigma _0) + o(1)} \]

so on summing in \(r\)

\[ \int _{T/2}^{3T} |\zeta (\sigma _0+it')|^A\ dt' \gg |W| N^{A(\sigma - \sigma _0) + o(1)}. \]

By Definition 9.1, the left-hand side is \(\ll T^{M(\sigma _0,A)+o(1)}\). Since \(T = N^{\alpha +o(1)}\), we obtain

\[ |W| \ll N^{\tau M(\sigma _0,A) - A(\sigma -\sigma _0)}, \]

giving the claim.

For the converse bound, let \(M\) be the right-hand side of 1. From Lemma 8.9 we have \(M \geq 1\). By [ 144 , § 8.1 ] it will suffice to show that for any \(V{\gt}0\) and any \(1\)-separated \(W \subset [T,2T]\) with

\[ |\zeta (\sigma _0+it)| \geq V \]

for all \(t \in W\), one has

\[ |W| \ll T^{M+o(1)} V^{-A}. \]

The claim is clear if \(V \geq T^C\) or \(V \leq T^C\) for some sufficiently large \(C\), so we may assume that \(V = T^{O(1)}\). We also clearly can assume \(|W|\geq 1\). Using the Riemann–Siegel formula [ 144 , Theorem 4.1 ] and dyadic decomposition, we have either

\[ |\sum _{n \in I} \frac{1}{n^{\sigma _0+it}} \gg T^{-o(1)} V \]

or

\[ T^{1/2-\sigma _0} |\sum _{n \in I} \frac{1}{n^{1-\sigma _0-it}}| \gg T^{-o(1)} V \]

for some \(I \subset [N,2N]\) and \(1 \leq N \ll T^{1/2}\), and all \(t \in W\). In either case, we can perform summation by parts and conclude that

\[ |\sum _{n \in I'} n^{-it}|\gg T^{-o(1)} V N^{\sigma _0} \]

or

\[ |\sum _{n \in I'} n^{-it}|\gg T^{-o(1)} V N^{1-\sigma _0} T^{\sigma _0-1/2} \]

for some \(I'\) in \([N,2N]\) and all \(t \in W\). As \(\sigma _0 \geq 1/2\), the letter hypothesis is stronger than the former, so we may assume the former. If \(N = T^{o(1)}\) then this would imply that \(V \ll T^{o(1)}\), and we would be done from the trivial bound \(R \ll T\) since \(M \geq 1\). Hence, after passing to a subsequence, we can assume that \(N = T^{1/\tau +o(1)}\) for some \(2 {\lt} \tau {\lt} \infty \). We can also assume that \(V = N^{\sigma -\sigma _0+o(1)}\) for some \(\sigma \in \mathbf{R}\). If \(\sigma \leq \sigma _0\) then \(V \ll T^{o(1)}\) and we are done as before, so we may assume \(\sigma {\gt} \sigma _0\); in particular, \(\sigma \geq 1/2\). From Lemma 8.2 we have

\[ |W| \ll N^{\mathrm{LV}_\zeta (\sigma ,\tau )+o(1)} \]

and hence by definition of \(M\)

\[ |W| \ll N^{M \tau - A (\sigma -\sigma _0)+o(1)} = T^{M+o(1)} V^{-A} \]

as required.

Corollary 9.6 Fourth moment bound

One has \(\mathrm{LV}_\zeta (\sigma ,\tau ) \leq \tau - 4 (\sigma -1/2)\) for all \(1/2 \leq \sigma \leq 1\) and \(\tau \geq 2\).

Proof

Apply Lemma 9.5 with \(\sigma _0 = 1/2\) and \(A=4\), using Lemma 9.2(iv).

We have an important twelfth moment estimate of Heath-Brown:

Theorem 9.7 Heath-Brown twelfth moment estimate

[ 103 ] \(M(1/2,12) \leq 2\). Equivalently (by Lemma 9.5), one has \(\mathrm{LV}_\zeta (\sigma ,\tau ) \leq 2\tau - 12 (\sigma -1/2)\) for all \(\tau \geq 2\) and \(1/2 \leq \sigma \leq 1\).

Proof

From Lemma 8.11 with the exponent pair \((1/2,1/2)\) from Lemma 5.10 we have

\[ \mathrm{LV}_\zeta (\sigma ,\tau ) \leq \min ( \tau - 6(\sigma -1/2), 2\tau - 12 (\sigma -1/2) ). \]

If \(2\tau - 12 (\sigma -1/2) \geq 0\), the claim is immediate; if instead \(2\tau - 12 (\sigma -1/2) {\lt} 0\), use Lemma 8.4.

We also have a variant bound, which is slightly better when \(\tau \) is close to \(6(\sigma -1/2)\):

Theorem 9.8 Auxiliary Heath-Brown estimate

For \(\tau \geq 2\) and \(1/2 \leq \sigma \leq 1\), one has

\[ \mathrm{LV}_\zeta (\sigma ,\tau ) \leq \min ( \tau -6(\sigma -1/2), 5\tau -32(\sigma -1/2)). \]
Proof

Let \((N,T,V,(a_n)_{n \in [N,2N]},J,W)\) be a zeta large value pattern with \(N\), \(V = N^{\sigma +o(1)}\), \(T = N^{\tau +o(1)}\) and \(W = N^{\mathrm{LV}_\zeta (\sigma ,\tau )+o(1)}\). Our task is to show that

\[ |W| \ll T^{o(1)} ( T (N^{-1/2} V)^{-6} + T^5 (N^{-1/2} V)^{-32}). \]

Write \(a(n) = 1_I(n)\). By a Fourier analytic expansion we can bound

\[ N^{-1/2} |\sum _{n \in I} n^{-it}| \ll T^{o(1)} \int _{T/4}^{3T} |\zeta (1/2+it_1)| \frac{dt_1}{1+|t_1-t|} + N^{-\varepsilon } \]

for some fixed \(\varepsilon {\gt}0\) and all \(t \in W\), hence

\[ \int _{T/4}^{3T} |\zeta (1/2+it_1)| \frac{dt}{1+|t_1-t|} \gg T^{-o(1)} N^{-1/2} V. \]

In particular, we can truncate to large values of \(\zeta (1/2+it_1)\), in the sense that

\[ \int _{T/4}^{3T} |\zeta (1/2+it_1)| 1_{|\zeta (1/2+it_1)| \geq T^{-o(1)} N^{-1/2} V} \frac{dt_1}{1+|t_1-t|} \gg T^{-o(1)} N^{-1/2} V. \]

Summing in \(t\) and using the \(1\)-separation to bound the sum of \(1/(1+|t_1-t|)\) by \(T^{o(1)}\), we conclude that

\[ \int _{T/4}^{3T} |\zeta (1/2+it_1)| 1_{|\zeta (1/2+it_1)| \geq T^{-o(1)} N^{-1/2} V} \ dt_1 \gg T^{-o(1)} R N^{-1/2} V. \]

Hence by dyadic pigeonholing we have

\[ V' \int _{T/4}^{3T} |\zeta (1/2+it_1)| 1_{|\zeta (1/2+it_1)| \asymp V'} \ dt \gg T^{-o(1)} R N^{-1/2} V \]

for some \(V' \geq T^{-o(1)} N^{-1/2} V\), and thus

\[ |\zeta (1/2+it')| \asymp V' \]

for all \(t'\) in some \(1\)-separated subset \(W'\) of \([T/4, 3T]\) with

\[ |W'| \gg T^{-o(1)} |W| N^{-1/2} V / V'. \]

Applying [ 103 , Theorem 2 ] (treating different cases using the bounds [ 103 , (7), (8), (9) ] ), we have the bound

\[ |W'| \ll T^{o(1)} ( T (V')^{-6} + T^5 (V')^{-32}) \]

and thus

\[ |W| \ll T^{o(1)} ( T (N^{-1/2} V)^{-1} (V')^{-5} + T^5 (N^{-1/2} V)^{-1} (V')^{-31}) \]

and the claim now follows from the lower bound on \(V'\).

9.2 Known moment growth bounds

Lemma 9.9 Ivic’s table of moment bounds

[ 144 , Theorem 8.4 ] We have \(M(\sigma ,A) = 1\) when \(A\) is equal to

\begin{align*} \frac{4}{3-4\sigma } & \hbox{ for } 1/2 {\lt} \sigma \leq 5/8; \\ \frac{10}{5-6\sigma } & \hbox{ for } 5/8 {\lt} \sigma \leq 35/54; \\ \frac{19}{6-6\sigma } & \hbox{ for } 35/54 {\lt} \sigma \leq 41/60; \\ \frac{2112}{859-948\sigma } & \hbox{ for } 41/60 {\lt} \sigma \leq 3/4;\\ \frac{12408}{4537-4890\sigma } & \hbox{ for } 3/4 \leq \sigma \leq 5/6; \\ \frac{4324}{1031-1044\sigma } & \hbox{ for } 5/6 \leq \sigma \leq 7/8; \\ \frac{98}{31-32\sigma } & \hbox{ for } 7/8 \leq \sigma \leq 0.91591\dots ; \\ \frac{24\sigma -9}{(4\sigma -1)(1-\sigma )} & \hbox{ for } 0.91591\dots \leq \sigma {\lt} 1. \end{align*}

Additionally, for \(\sigma =2/3\) one can take \(A = 9.6187\dots \), for \(\sigma = 7/10\) one can take \(A=11\), and for \(\sigma =5/7\) one can take \(A=12\).

Proof

This is a computation using Lemma 8.11, Theorem 8.15, and Lemma 9.5; see [ 144 ] for details.

Theorem 9.10 Moment bounds for \(\sigma =1/2\)

[ 279 , Theorems 2.1, 2.2 ] We have

\[ M(1/2, A) \leq \begin{cases} (16A + 35)/114 ,& \frac{866}{65} \leq A {\lt} 14, \\ (176677A + 358428)/1246476 ,& 14 \leq A {\lt} \frac{122304}{7955} = 15.37\ldots , \\ (779A + 1398)/5422 ,& \frac{122304}{7955} \leq A {\lt} \frac{910020}{58699} = 15.50\ldots , \\ 3(1661A + 2856)/34532 ,& \frac{910020}{58699} \leq A {\lt} \frac{9604}{593} = 16.19\ldots , \\ (405277A + 677194)/2800950 ,& \frac{9604}{593} \leq A {\lt} \frac{629068}{35731} = 17.60\ldots , \\ (40726597A + 64268678)/280113282 ,& \frac{629068}{35731} \leq A {\lt} \frac{13789}{709} = 19.44\ldots , \\ 3(46A + 49)/926 ,& \frac{13789}{709} \leq A {\lt} \frac{204580}{10333} = 19.79\ldots ,\\ (3475A + 3236)/23168 ,& \frac{204580}{10333} \leq A {\lt} \frac{4252}{195} = 21.80\ldots , \\ 7(39945A + 33704)/1857036 ,& \frac{4252}{195} \leq A {\lt} \frac{812348}{30267} = 26.83\ldots , \\ (37A + 24)/244 ,& \frac{812348}{30267} \leq A {\lt} \frac{440}{13} = 33.84\ldots , \\ (31A - 24)/196 ,& \frac{440}{13} \leq A {\lt} \frac{203087}{4742} = 42.82\ldots , \\ 7(31519A - 33704)/1385180 ,& \frac{203087}{4742} \leq A {\lt} \frac{3516129}{65729} = 53.49\ldots , \\ 1 + 13(A - 6)/84 ,& \frac{3516129}{65729} \leq A. \end{cases} \]

and also

\[ M(1/2, 12 + \delta ) \le 2 + \frac{\delta }{8} + \frac{3\sqrt{510}}{7568}\delta ^{3/2},\qquad 0 {\lt} \delta \le \frac{86}{65}. \]

In particular, we have

\begin{align*} M(1/2,13) & \le 2.1340,& M(1/2,14) & \le 2.2720,& M(1/2,15) & \le 2.4137,\\ M(1/2,16) & \le 2.5570,& M(1/2,17) & \le 2.7016,& M(1/2,18) & \le 2.8466. \end{align*}

9.3 Large values of \(\zeta \) moments

It is also of interest to control large values of the moments.

Definition 9.11 Mixed moments
#

For fixed \(1/2 \leq \sigma \leq 1\), \(A \geq 0\), and \(h \geq 0\), let \(M(\sigma ,A, \geq h)\) be the least (fixed) exponent for which the bound

\[ \int _{0 \leq t \leq T: |\zeta (\sigma +it)| \geq T^h} |\zeta (\sigma +it)|^A\ dt \ll T^{M(\sigma ,A,h)+o(1)} \]

holds for unbounded \(T\). Similarly, let \(M(\sigma ,A,\leq h)\) be the least exponent for which

\[ \int _{0 \leq t \leq T: |\zeta (\sigma +it)| {\lt} T^h} |\zeta (\sigma +it)|^A\ dt \ll T^{M(\sigma ,A,h)+o(1)} \]

holds for unbounded \(T\).

Lemma 9.12 Mixed moments and large values of zeta

If \(1/2 \leq \sigma _0 \leq 1\), \(A \geq 1\), and \(h \geq 0\) are fixed, then

\begin{equation} \label{msah} M(\sigma _0,A,\geq h) \leq \sup _{\tau \geq 2; \sigma \geq 1/2, h\tau } (A(\sigma -\sigma _0) + \mathrm{LV}_\zeta (\sigma ,\tau ))/\tau . \end{equation}
15

and

\begin{equation} \label{msah-2} M(\sigma _0,A,\leq h) \leq \sup _{\tau \geq 2; \sigma \leq 1/2, h\tau } (A(\sigma -\sigma _0) + \mathrm{LV}_\zeta (\sigma ,\tau ))/\tau . \end{equation}
16

That is to say, any bound of the form

\[ \mathrm{LV}_\zeta (\sigma ,\tau ) \leq M \tau - A (\sigma - \sigma _0) \]

whenever \(\tau \geq 2\) and \(\sigma \geq 1/2, h\tau \), gives rise to a bound

\[ M(\sigma _0,A,\geq h) \leq M. \]

Similarly for \(M(\sigma _0,A,\geq h)\), in which we replace the condition \(\sigma \geq h\tau \) by \(\sigma \leq h\tau \).

Proof

This is a routine modification of the proof of Lemma 9.5.

Corollary 9.13 Mixed moments and exponent pairs

If \((k,\ell )\) is an exponent pair with \(k {\gt} 0\), then

\[ M(1/2,6, \geq h) \leq 1 \]

and

\[ M\left(1/2,\frac{2(1+2k+2\ell )}{k}, \leq h\right) \leq \frac{k+\ell }{k} \]

where

\[ h := \frac{\ell }{2+4l-2k}. \]
Proof

From Lemma 8.11 with the exponent pair \((k,\ell )\) we have

\[ \mathrm{LV}_\zeta (\sigma ,\tau ) \leq \min ( \tau - 6(\sigma -1/2), \frac{k+\ell }{k}\tau - \frac{2(1+2k+2\ell )}{k} (\sigma -1/2) ). \]

In particular, for \(\sigma -1/2 \leq h\tau \) one has

\[ \mathrm{LV}_\zeta (\sigma ,\tau ) \leq \tau - 6(\sigma -1/2) \]

and for \(\sigma -1/2 \geq h\tau \) one has

\[ \frac{k+\ell }{k}\tau - \frac{2(1+2k+2\ell )}{k} (\sigma -1/2). \]

The claim then follows from Lemma 9.12.

Corollary 9.14 Specific mixed moments

[ 144 , (8.56) ] \(M(1/2, 6, \geq 11/72) \leq 1\) and \(M(1/2,24, \leq 11/72) \leq 15/4\).

Proof

Apply Corollary 9.13 with the exponent pair \((4/18, 11/18) = BABA(1/6, 2/3)\) from Corollary 5.11.

Lemma 9.15 Large value theorems from mixed moment bounds

[ 20 , Proposition 2 ] Suppose that \(M(1/2,A,\geq h) \leq 1\) for some \(A \geq 4\) and \(h \geq 0\). Then one has

\[ \mathrm{LV}(\sigma ,\tau ) \leq \max ( \alpha + 2 - 2 \sigma , -\alpha + \tau + A/2 - 2A (\sigma -1/2)) \]

whenever \(1/2 \leq \sigma \leq 1\), \(\tau {\gt} 0\), and \(0 \leq \alpha \leq 1-\sigma \) is such that

\[ \sigma - \frac{1}{2} {\gt} \frac{\tau h}{2} + \frac{1}{4}. \]
Lemma 9.16 Zero density theorems from mixed moment bounds

[ 20 , Proposition 5 ] Suppose that \(M(1/2,6,\geq h) \leq 1\) for some \(h \geq 0\). Then for any \(1/2 \leq \alpha {\lt} \sigma {\lt} 1\), one has

\[ \mathrm{A}(\sigma ) \leq \max \left( \frac{4\mu (\alpha )}{\sigma -\alpha }, \frac{3}{8\sigma -5}, \frac{6h}{4\sigma -3}\right). \]

It is remarked in [ 20 ] that this proposition could lead to some improvements in current zero density estimate bounds.

Lemma 9.17 Chen-Debruyne-Vidas large values theorem

[ 32 , Lemma A.1 ] Let \(1/2 \leq \sigma \leq 1\) and \(\tau \geq \frac{30\sigma -11}{8}\) be fixed. Let \(q_0, A_0, q_1, A_1, h\) be fixed quantities such that \(M(1/2,q_0, \geq h) \leq A_0\) and \(M(1/2,q_0, \leq h) \leq A_1\). Suppose that \(\rho \leq \mathrm{LV}(\sigma ,\tau )\) is such that

\[ \frac{24(1-\sigma )}{30\sigma -11} \tau \leq \rho \leq 1. \]

Then for any \(\alpha _1 \geq 0\) and \(0 \leq \alpha _2 \leq \tau \), one has

\[ \rho \leq \max ( 2-2\sigma +\alpha _2, -2\alpha _1-(A_0-1)\alpha _2 +A_0 \tau + (3-4\sigma )q_0/2, -2\alpha _1+(A_1-1)\alpha _2+A_1\tau +(3-4\sigma )q_1/2, 8\alpha _1/7+4\alpha _2/7 +16(1-\sigma )/7 +6(10\sigma -9)\tau /7(30\sigma -11), 16\alpha _1/3+4(3-4\sigma )/3 + 2(10\sigma -9)\tau /(30\sigma -11), 5\alpha _1/3+\alpha _2/6+2(3-4\sigma )/3+(1/3 + (10\sigma -9)/(30\sigma -11))\tau ). \]

In [ 32 ] this lemma is applied with \((q_0,A_0) = (6,1)\) and \((q_1,A_1) = (19,3)\) with \(h = 2/13\), which follows from Corollary 9.13 applied to the exponent pair \((2/7,4/7) = BA(1/6,2/3)\) from Corollary 5.11.