THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS SOUMYA DAS AND RIZWANUR KHAN Abstract. We prove an asymptotic for the third moment of symmetric-square L-functions associated to holomorphic Hecke cusp forms of level one and weight between K and 2K, as K ! 1.

1. Introduction Many questions in number theory boil down to problems concerning the central values of Lfunctions, and thus we would like to understand these objects (see [8] for a nice survey). One way to proceed is to consider L-functions in spectrally complete families, over which we can try to evaluate moments of the L-values. In principle, knowledge of all moments can recover the full distribution of the L-values. But even the moments of low order can give us valuable information about L-functions. Indeed this is the starting point in the amplifier, mollifier, and resonance methods [4, 7, 17], which are used to prove upper bounds, nonvanishing, and large values of L-functions. Moments of L-functions have been extensively studied for GL(1) and GL(2) L-functions, but there are relatively few results in higher rank that provide asymptotic evaluations of moments. There are well established conjectures [3] for these asymptotics and it turns out that the shape of the asymptotic depends on the symmetry type of the family in the sense of the so-called Katz-Sarnak philosophy [12]. In this paper we are interested in the symplectic symmetry type. Many papers o↵er the following two examples of families that have this symmetry type: the Dirichlet L-functions associated to quadratic characters and the symmetric square L-functions described below. For the former family, the first three moments are known by the work of Jutila [11] and Soundararajan [16], and Young [19] later improved the error term of the third moment. The goal of this paper is to evaluate for the first time the third moment of the symmetric square family, so that now it is on par with the quadratic Dirichlet L-functions in terms of moments known. Let Hk denote the set of holomorphic Hecke cusp forms f of level 1 and weight k, with Fourier expansion f (z) =

1 X

af (n)n

k

1 2

e2⇡inz

n=1

for =(z) > 0, where the coefficients af (n) are real and af (1) = 1. The set Hk has k/12 + O(1) elements and forms an orthogonal basis of the space of cusp forms of level 1 and weight k. The symmetric square L-function associated to f 2 Hk is defined as L(s, sym2 f ) = ⇣(2s)

1 X af (n2 ) ns n=1

for <(s) > 1, where <(s) and =(s) denote the real and imaginary parts of s. This converges absolutely for <(s) > 1 since af (n)  d(n) by the work of Deligne. As shown by Shimura [15], the series given above analytically extends to an entire function on C and satisfies the functional equation L1 (s)L(s, sym2 f ) = L1 (1

s)L(1

2010 Mathematics Subject Classification. 11M99. Key words and phrases. L-functions, symmetric square, moments. 1

s, sym2 f ),

2

SOUMYA DAS AND RIZWANUR KHAN

where L1 (s) = ⇡

3 2s

s+k ( s+1 2 ) ( 2

1

) ( s+k 2 )=⇡

3 1 2 s+ 2

22

s k

( s+1 2 ) (s + k

1).

Thus (under our normalization) the central point is s = 12 . We also see from the functional equation that the conductor of L(s, sym2 f ) in the weight aspect is k 2 . Gelbart and Jacquet [5] showed that L(s, sym2 f ) is attached to an automorphic form on GL(3). As far as moments are concerned, only the first moment of L( 12 , sym2 f ) is known when averaging f over the set Hk , as k ! 1. An asymptotic for the first moment was proved by Lau [14], which has been improved since then; the current best result is due to Balkanova and Frolenkov [1]. The second moment over the set Hk seems to be completely out of reach of current methods. However, if we enlarge the family to [ (1.1) Hk , Kk2K k⌘0 mod 2

where K ! 1, then the ratio of log(conductor) to log(family size) is the same for both quadratic Dirichlet L-functions and symmetric square L-functions, and so that the playing field is level. In [13], the second author proved the following asymptotic for the second twisted moment, which yields the second moment by putting r = 1 (in which case the right hand size has leading term of size log3 K). Theorem 1.1. [13] Let h be a positive valued, infinitely di↵erentiable and compactly supported function on the positive reals. For any positive integer d, write d = d1 d22 with d1 square-free. For any1 ✏ > 0 and r  K 1 ✏ we have ⇣ k 1 ⌘ X† X 1 h L( 12 , sym2 f )2 af (r2 ) = K K k⌘0 mod 2 f 2Hk Z 1 ⇣1 ⇣ X 1 1 uK uKd2 1 uK uK ⌘ p p h(u) log2 log log3 + P2 log 4 d1 d2 r 12 d1 d2 d1 d2 r 2 d1 0 d|r 1 uKd2 ⇣ uK ⌘⌘ + log P1 log du + O(r 2 K ✏ ). r d1 d2 where Pi is a polynomial of degree i , logi x = (log x)i , and X†

f 2Hk

↵f =

X

f 2Hk

(k

2⇡ 2 ↵f 1)L(1, sym2 f )

for any complex numbers ↵f depending on f . P† The “harmonic” average arises naturally in the Petersson trace formula. We should think of the X† weights in this sum as being of size 1/|Hk | on average, for 1 ⇠ 1 as k ! 1. f 2Hk

In a di↵erent setting, Blomer [2] obtained the (twisted) first and second moments of symmetric square L-functions attached to newforms of fixed weight, prime level and real primitive nebentypus, as the level tends to infinity. This family has the same log(conductor) to log(family size) ratio as the family in [13], so the problems are of roughly the same level of difficulty. Nothing is known for the third moment in the level aspect. Now we come to the third moment of L( 12 , sym2 f ) over the family (1.1), which is the main result of this paper. We first observe that Theorem 1.1 comes quite close to giving us the third moment.

1Convention: throughout this paper, ✏ will always denote an arbitrarily small positive constant, but not necessarily the same one from one occurrence to the next. Unless stated otherwise, all error terms may depend on ✏ and h.

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

3

This is because after writing the third moment as ⇣ k 1 ⌘ X† X 1 (1.2) h L( 12 , sym2 f )2 L( 12 , sym2 f ) K K f 2Hk

k⌘0 mod 2

and then using Lemma 2.7 to write L( 12 , sym2 f ) = 2

X af (r2 ) 1

r
r2

Vk (r) + O(k

100

),

we see that a result like Theorem 1.1 would suffice if it allowed us to take r to be as large as K 1+✏ , and if the error term were improved a bit. But the restriction to r < K 1 ✏ in the twisted second moment seems to require new ideas to overcome. Our approach to prove an asymptotic for the third moment is to combine the ideas of [13] and those of Sprung [18]. In his Masters thesis, Sprung proved a sharp upper bound of K ✏ for the third moment (1.2) with additional twisting. Consider the o↵-diagonal part of the third moment in dyadic intervals, which as we will see, roughly has the shape X S(n2 , m2 r2 , c) ⇣ 2nmr ⌘ e c c n⇠N,m⇠M,r⇠R cN M R/K 2 ✏

for N, M, R < K 1+✏ . Sprung’s method was to apply Poisson summation in n, m, r over residue classes mod c. This process leads to a certain exponential sum, for which Sprung proved an upper bound that reflects square-root cancellation. The upper bound leads to a sharp estimate of the third moment but not an asymptotic. A full evaluation of the exponential sum could lead to an asymptotic, but this seems to be difficult. Our observation is that Sprung’s upper bound suffices for the purposes of an asymptotic when c K 1 2✏ . If c < K 1 2✏ and R K 1 ✏ , then we need only a simplified version of Sprung’s exponential sum, which can be evaluated. This is because Poisson summation over r ⇠ R in residue classes mod c will lead to only the zero frequency sum on the dual side. In the case that R < K 1 ✏ , we can use a result like Theorem 1.1. Making this idea work, by putting together all these di↵erent cases, is a little delicate. We really need to put together the di↵erent pieces, because upper bounds for each piece may be too large; but when everything is put together the large term (seen at the very end of the paper) will vanish. This kind of phenomenon was also present in [2] and [13], where parts of the diagonal and o↵-diagonal were shown to cancel out. Our main result is Theorem 1.2. (Third moment) Let h be a positive valued, infinitely di↵erentiable and compactly supported function on the positive reals. We have ⇣ k 1 ⌘ X† X 1 h L( 12 , sym2 f )3 = P6 (log K) + O(K 1/2+✏ ), K K k⌘0 mod 2

f 2Hk

for some polynomial P6 of degree 6, depending on h. Although we do not explicitly compute the polynomial above, we note that its degree is exactly what is expected for the symplectic family type. Acknowledgements. We thank B. Sprung for sending us a copy of his Masters thesis. The first author would like to acknowledge financial support from IISc. Bangalore, DST (India) and the UGC Centre for advanced studies. 2. Preliminaries 2.1. Petersson’s trace formula.

4

SOUMYA DAS AND RIZWANUR KHAN

Lemma 2.2. X†

af (n)af (m) =

k m,n + 2⇡i

1 X S(n, m, c)

c

c=1

f 2Hk

Jk

1

⇣ 4⇡ pmn ⌘ c

,

where the value of m,n is 1 if m = n and 0 otherwise, S(n, m, c) is a Kloosterman sum, and Jk is the J-Bessel function.

1 (x)

This may be found in [10, Proposition 14.5]. 2.3. Hecke multiplicativity. Recall the Hecke multiplicative relation X (2.1) af (n2 )af (m2 ) = af (n2 m2 /d2 ). d|(n2 ,m2 )

We will need the following observation. For any integers n, m, r, we have X X (2.2) 1= 1. d|(n2 ,m2 ) r 2 =n2 m2 /d2

d|(r 2 ,m2 ) n2 =r 2 m2 /d2

To justify this, first recall that by the Taylor expansion of the J-Bessel function [6, 8.402], we have the estimate Jk 1 (x) ⌧C (x/k)k uniformly for 0  x  C. Now by Lemma 2.2 and (2.1), we have that the left hand side of (2.2) equals X† X X† lim af (n2 m2 /d2 )af (r2 ) = lim af (n2 )af (m2 )af (r2 ). k!1

k!1

f 2Hk d|(n2 ,m2 )

f 2Hk

Similarly, the right hand side equals X† X X† lim af (r2 m2 /d2 )af (n2 ) = lim af (n2 )af (m2 )af (r2 ). k!1

k!1

f 2Hk d|(r 2 ,m2 )

f 2Hk

2.4. Sum of Kloosterman sums. We will need the following exponential sums. The first part of this Lemma is from [13, Lemma 3.2] and the second part is from [18, Lemma 5]. Lemma 2.5. Suppose that d, l1 , l2 , l2 are integers. We have (1) X

2

2

S(a , d , c)e

a mod c

⇣ 2ad ⌘ c

=

(

1 2

(c)c 0

if c is a square, otherwise,

(2) X

S(a21 , a22 a23 d, c)e

a1 ,a2 ,a3 mod c

⇣ 2a a a d ⌘ ⇣ a l + a l + a l ⌘ 1 1 2 3 1 1 2 2 3 3 e ⌧ c2+✏ (dl1 , c)(l12 , l2 , l3 , c) 2 . c c

2.6. Approximate functional equation. The following is quoted from [13, Lemma 2.2]. Lemma 2.7. We have L( 12 , sym2 f ) = 2

X af (n2 ) 1

n 1

n2

Vk (n),

where for any real ⇠ > 0 and A > 0, Vk (⇠) =

1 2⇡i

Z

(A)

L1 ( 12 + y) ⇣(1 + 2y)⇠ L1 ( 12 )

y dy

y

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

5

is real valued and satisfies (B)

Vk

(⇠) ⌧A,B ⇠

B

⇣ k ⌘A ⇠

, for any A > 0 and integer B

Vk (⇠) = 12 (log(k/⇠) + C) + O

⇣⇠⌘ k

0.

3 log ⇡ 2

, where C = 2

log 2 +

2

0 3 (4) . ( 34 )

Thus L( 12 , sym2 f ) can be expressed as a Dirichlet series of length about k 1+✏ , up to negligible error. 2.8. Average of J-Bessel functions. The following is quoted from [13, Lemma 2.3], but it originates from [9, Lemma 5.8]. Lemma 2.9. We have for t > 0, ⇣k 1⌘ X 1 (2.3) 2ik h Jk K K

1 ⇣ p = e t

1 (t) =

k⌘0 mod 2

where ~(v) =

Z

1 0

2⇡i/8 it

e ~

⇣ K 2 ⌘⌘ 2t

+O

⇣ t Z K5

1 1

⌘ ˆ v 4 |h(v)|dv ,

p h( u) iuv p e du 2⇡u

ˆ denotes the Fourier transform of h. The implied constant is absolute. and h By integrating by parts several times we get that ~(v) ⌧B v B for any B 0. Thus the main term of (2.3) is not dominant if t < K 2 ✏ . For future use, define for any complex number w the more general function Z 1 p h( u) w/2 iuv p ~w (v) = u e du. 2⇡u 0 By integration by parts, we have the bound B ~(j) w (v) ⌧<(w) (1 + |w|) (1 + |v|)

(2.4) for any integers j, B

B

0.

2.10. A Mellin transform. Let ˜w (s) = ~

Z

1

vs

0

1

~(v)dv

denote the Mellin transform of ~. This converges absolutely for <(s) > 0 by (2.4) and is holomorphic in this half plane. By integration by parts and (2.4) we have (2.5)

˜w (s) ⌧<(s) (1 + |w|)B (1 + |s|) ~

B

˜w (s). In particular, this gives its The following result (taken from [13, Lemma 3.3]) evalautes ~ analytic continuation to C. Lemma 2.11. For 0 < <(s) < 1, we have Z 1 p h( u) w/2 e p ~w (s) = u 2⇡u 0

s

where

e(s) = e2⇡is .

(s)e(s/4)du,

6

SOUMYA DAS AND RIZWANUR KHAN

2.12. A weight function. For future use, we define for integers n, m, r and real v, (2.6) WK (n, m, r, v) =

Z Z Z 1 ⇣(1 + 2y) ⇣(1 + 2x) ⇣(1 + 2z) 1 G(y)G(x)G(z) (2⇡i)3 (A1 ) (A2 ) (A3 ) y x z nx my rz p p p Z 1 p ( uK + y + 12 ) ( uK + x + 12 ) ( uK + z + 12 ) h( u) iuv p e dudxdydz, p p p ( uK + 12 ) ( uK + 12 ) ( uK + 12 ) 2⇡u 0

where A1 , A2 , A3 > 0 and G(z) = ⇡

3 2z

2

( z2 + 34 ) . ( 34 )

z

By Stirling’s approximation of the gamma function, G(z) decays exponentially as |=(z)| ! 1. By Stirling’s approximation applied to the gamma functions involving u, we have ⇣n m r ⌘ ⇣n m r ⌘ 1 (2.7) WK (n, m, r, v) = W , , , v + W0 , , , v + O(K 2+✏ ), K K K K K K K where for ⇠1 , ⇠2 , ⇠3 > 0 we define (2.8) 1 W (⇠1 , ⇠2 , ⇠3 , v) = (2⇡i)3

Z

(A1 )

Z

(A2 )

Z

G(y)G(x)G(z) (A3 )

⇣(1 + 2y) ⇣(1 + 2x) ⇣(1 + 2z) x y z ⇠1 ⇠2 ⇠3 y x z ~x+y+z (v)dxdydz, 1

and W0 (⇠1 , ⇠2 , ⇠3 , v) is defined in the same way except that it has an additional factor of P (x, y, z)/u 2 for some polynomial P (x, y, z). All this is similar to [13, section 2.4], except that there the estimate 1 WK = W + O(K 1+✏ ) was used, while here we need the additional term K W0 from Stirling’s expansion (in order to arrive at the desired error term in (3.1)). Using (2.4) we have (2.9)

@ j1 @ j2 @ j3 @ j4 W (⇠1 , ⇠2 , ⇠3 , v) ⌧ ⇠1 j1 @x1 @x2 @x3 @v

for any real A1 , A2 , A3 > 0 and integers ji , B

A1

⇠2 j2

A2

⇠3 j3

A3

(1 + |v|)

B

,

0. We have a similar bound for W0 .

2.13. Poisson summation. We will make vital use of the Poisson summation formula. Lemma 2.14. Given a rapidly decaying smooth function (x) and an arithmetic function Sc (n) with period c, we have ⇣n⌘ ⇣ ⌘ X ⇣ al ⌘ X X N ˆ lN Sc (n) = Sc (a)e . N c c c 1
a mod c

Proof. Splitting up the sum into residue classes modulo c, we have ⇣ a + mc ⌘ X ⇣n⌘ X X Sc (n) = Sc (a) . N N 1
a mod c

Now apply Poisson summation in m, getting ⇣ a + mc ⌘ X = N 1
X

1
Now substituting y = (a + xc)/N gives the result.

Z

1 1

⇣ a + xc ⌘ N

e( lx)dx. ⇤

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

7

3. Pieces of the third moment Let > 0 be a small positive constant. Fix U (x) a smooth function with bounded derivatives that is compactly supported on the interval ( 12 , 2K 2 ), such that U (x) = 1 for 1  x  K 2 . Let L = K 1 . Using Lemma 2.7, we have ⇣ k 1 ⌘ X† X 1 h L( 12 , sym2 f )3 K K f 2Hk

k⌘0 mod 2

8 = K

X

h

k⌘0 mod 2

=S1 + S2 , where X

8 K

S1 =

k⌘0 mod 2

and S2 =

8 K

h

X

h

k⌘0 mod 2

⇣k

⇣k

⇣k

K

K

1 ⌘ X†

X

1

(nmr) 2

f 2Hk n,m,r 1

1 ⌘ X†

K

af (n2 )af (m2 )af (r2 )

X

af (n2 )af (m2 )af (r2 ) (nmr)

f 2Hk n,m,r 1

1 ⌘ X†

X

1 2

af (n2 )af (m2 )af (r2 ) (nmr)

f 2Hk n,m,r 1

1 2

Vk (n)Vk (m)Vk (r)

Vk (n)Vk (m)Vk (r)U

⇣ Vk (n)Vk (m)Vk (r) 1

⇣r⌘ L

U

⇣ r ⌘⌘ L

.

Recall that by the decay of weight function Vk (n), these sums are supported on r  K 1+ , up to an error of O(K 100 ), say. The sum S2 consists of the terms with r small (it does not contain any r larger than K 1 ) and the sum S1 consists of the terms with r large (it contains all r larger than K 1 ). Now that this is in place, we henceforth rename to ✏ so that we can apply the ✏ convention. 3.1. The sum S1 . Using (2.1), we get ⇣ k 1 ⌘ X† X 8 S1 = h K K

X

af (n2 m2 /d2 )af (r2 ) (nmr)

f 2Hk n,m,r 1 d|(n2 ,m2 )

k⌘0 mod 2

1 2

Vk (n)Vk (m)Vk (r)U

⇣r⌘ L

.

We apply Lemma 2.2 to get S1 = D1 + OD1 , where the diagonal is 8 D1 = K

X

k⌘0 mod 2

h

⇣k

K

1⌘

X

1

n,m,r 1 r 2 =n2 m2 /d2 d|(n2 ,m2 )

1 Vk (n)Vk (m)Vk (r)U

(nmr) 2

⇣r⌘ L

and the o↵-diagonal is OD1 = X 8 K

n,m,r 1 r 2 =n2 m2 /d2 d|(n2 ,m2 )

S(r2 , n2 m2 /d2 , c) c(nmr)

1 2

X

k⌘0 mod 2

h

⇣k

K

1⌘

2⇡ik Jk

1

⇣ 4⇡rnm ⌘ cd

Vk (n)Vk (m)Vk (r)U

⇣r⌘ L

.

Writing d = d1 d22 , where d1 is square-free, we have that d|n2 if and only if d1 d2 |n. Thus we can replace n by nd1 d2 , and m by md1 d2 , to get ⇣k 1⌘ ⇣ 4⇡rnmd ⌘ X S(r2 , n2 m2 d21 , c)µ2 (d1 ) X 8 1 OD1 = h 2⇡ik Jk 1 1 K K c 2 c(nmr) d1 d2 n,m,r,d1 ,d2 ,c 1 k⌘0 mod 2 ⇣r⌘ Vk (nd1 d2 )Vk (md1 d2 )Vk (r)U . L

8

SOUMYA DAS AND RIZWANUR KHAN

Using Lemma 2.9 now we get ⇣ X 1 OD1 = 4⇡ 2 =

n,m,r,d1 ,d2 ,c 1

S(r2 , n2 m2 d21 , c)µ2 (d1 ) e(2nmrd1 /c) 3 1 e(1/8) c 2 nmrd 2 d 1



2

WK nd1 d2 , md1 d2 , r,

K 2 c ⌘ ⇣ r ⌘⌘ U + O(K 8⇡rnmd1 L

1/2+✏

),

where WK was defined in (2.6) and the error term comes from the error in Lemma 2.9, by the same argument as [13, section 3.4]. By the comments following Lemma 2.9, the range of c is essentially c<

nmrd1 < K 1+✏ . K2 ✏

Now we can use (2.7) to get (3.1) 1

4⇡ 2 =

OD1 =



X

n,m,r,d1 ,d2 ,c 1

S(r2 , n2 m2 d21 , c)µ2 (d1 ) e(2nmrd1 /c) 3 1 e(1/8) c 2 nmrd 2 d 1

2

⇣ nd d md d r K 2 c ⌘ ⇣ r ⌘⌘ 1 2 1 2 W , , , U + . . . + O(K K K K 8⇡rnmd1 L

(3.2)

1/2+✏

),

where the ellipsis signifies the contribution coming from the lower order term W0 . The treatment for this omitted term will be similar unless indicated otherwise. We divide OD1 into two cases: OD1 = OD1,1 + OD1,2 , where OD1,1 is the same as OD1 but restricted to c  L/K ✏ , and OD1,2 is restricted to c > L/K ✏ . 3.2. The sum OD1,1 . We sum over r by Poisson summation (Lemma 2.14) after splitting into residue classes modulo c. We get OD1,1 =

X

1

1
4⇡ 2 =



X

n,m,d1 ,d2 cLK ✏

⌘ L X 2 2 2 2 c W (l) S(a , n m d , c)e(2anmd /c) 1 3 1 1 c 2 1 e(1/8)c 2 nmd1 d2 L a mod c µ2 (d1 )

+ . . . + O(K where c (l) = W

Z

1 1

1/2+✏

⌘ ⇣ xlL ⌘ 1 ⇣ nd1 d2 md1 d2 xL K 2c W , , , U (x)e dx. x K K K 8⇡nmd1 Lx c

If l 6= 0, we integrate by parts j times (integrating the exponential and di↵erentiating the rest) to see that j c (l) ⌧ K ✏ c . W lL Since c  L/K ✏ , the contribution of l 6= 0 is O(K have (3.3) OD1,1 =

1

4⇡ 2 =



X

n,m,d1 ,d2 cLK ✏

100

) say, by taking j large enough, and so we

⌘ X 2 2 2 2 c (0) L W S(a , n m d , c)e(2anmd /c) 1 1 1 c 1 e(1/8)c 2 nmd1 d2 L a mod c µ2 (d1 )

3 2

+ . . . + O(K

1/2+✏

).

),

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

9

By an identitcal argument, up to an error of O(K 100 ) the first line of (3.3) is the same expression one gets by applying Poisson summation in r to the sum 1

4⇡ 2 =

(3.4)



X

n,m,r,d1 ,d2 1 cLK ✏

µ2 (d1 ) 3 2

1

W

e(1/8)c 2 nmd1 d2 r

⇣ nd d md d r K 2c ⌘ ⇣ r ⌘ 1 2 1 2 , , , U K K K 8⇡nmd1 r L ⌘ 1 X S(a2 , n2 m2 d21 , c)e(2anmd1 /c) . c a mod c

By Lemma 2.5, the complete sum vanishes unless c is a square, so we replace c by c2 after evaluating the complete sum, and get ⇣ ⇣ nd d md d r X 1 (c2 )µ2 (d1 ) K 2 c2 ⌘ ⇣ r ⌘ 1 2 1 2 OD1,1 = 4⇡ 2 = W , , , U 3 K K K 8⇡rnmd1 L 2 2 n,m,r,d1 ,d2 1 e(1/8)c nmrd1 d2 1c


+ . . . + O(K

1/2+✏

).

We converted back to a sum over r because this will facilitate evaluation by residue calculations. 3.3. The sum OD1,2 . We sum over r, n, m by Poisson summation in residue classes modulo c. Thus (3.5)

X

OD1,2 =

1
X

1 2

4⇡ =



d1 ,d2 1 c>LK ✏

S(a21 , a22 a23 d21 , c)e

a1 ,a2 ,a3 mod c

X

1

d12 d2 µ2 (d1 ) c K 2L W (l1 , l2 , l3 ) 2 2 3 1 d1 d2 c e(1/8)c 2 K 2 L

⇣ 2a a a d ⌘ ⇣ a l + a l + a l ⌘⌘ 1 2 3 1 1 1 2 2 3 3 e + . . . + O(K c c

1/2+✏

).

where (3.6) c (l1 , l2 , l3 ) = W Z 1Z 1Z 1 1

1

1

2

cd d 3L W (x1 , x2 , xK , 8⇡x1 x1 2 x2 3 L )U (x3 ) ⇣ x1 l1 K x2 l2 K e + + x1 x2 x3 d1 d2 c d1 d2 c cd d2

x3 l3 L ⌘ dx1 dx2 dx3 . c

3L Note that even though W (x1 , x2 , xK , 8⇡x1 x1 2 x2 3 L ) is initially defined only for x1 , x2 , x3 > 0, we can set it to be zero if xi  0 for any i; by the bound (2.9), it still remains a smooth function. Thus the Poisson summation is valid. Further we can restrict the integral to 0  x1 , x2 < K ✏ , by the decay of the W function, and to 1  x3 < K ✏ by the compact support of U (x3 ). Now we claim that by integrating by parts in x1 , x2 , x3 multiple times, we can restrict to

K ✏ < l1 , l2 , l3 < K ✏ , up to an error of O(K 100 ). The argument needs a bit more work than what we saw in section 3.2. This is because multiple di↵erentiation of the weight functions in the integrand of (3.6) leads to negative powers of x1 , x2 , x3 , and we must take care to be able to integrate up to zero (this was not an issue in section 3.2 because there the function U (x) restricted the integral to a positive compact interval). Thus integrating by parts ji times with respect to xi , for each i, and using (2.9) with A1 = A2 = A3 = 1 say, we get Z K✏ Z K✏ Z K✏ d1 d2 c j1 d1 d2 c j2 c j3 x1 x2 x3 L B dx1 dx2 dx3 c W (l1 , l2 , l3 ) ⌧ 2 2+j l1 K l2 K l3 L cd1 d2 |x1 | 1 |x2 |2+j2 |x3 |2+j3 1 0 0 for any integer B 0. Taking j1 , j2 , j3 and B as large as we like, and keeping in mind that c > L/K ✏ , we get that the contribution to (3.5) of |l1 |, |l2 |, |l3 | > K ✏ is O(K 100 ).

10

SOUMYA DAS AND RIZWANUR KHAN

Now we keep the terms of (3.5) with l1 = 0, and estimate the rest. By Lemma 2.5, we have that ⇣X⌘ ⇣ X K ✏ µ2 (d1 ) X (c, l1 d1 )(c, l12 , l2 l3 ) ⌘ OD1,2 = +O + . . . + O(K 1/2+✏ ) 3 3 2 2 c ✏ ✏ ✏ d d l1 =0 K LK 1 2 =

⇣X⌘

d1 ,d2
1/2+✏

+ . . . + O(K

).

l1 =0

This uses the fact that (c, l12 , l2 l3 ) ⌧ K ✏ because 0 < |l1 | < K ✏ , and that X

c>LK

(c, l1 d1 ) ✏

c

3 2

X



X

|l1 d1 c>LK |c



c

3 2



X 1

1 2

|l1 d1

X

1 3

c>L(K ✏ )

1

c2

⌧K

1/2+✏

.

The sum with l1 = 0 is converted back to a sum over n, m, r by Poisson summation again, up to an error of O(K 100 ) say, as we did to the r-sum in section 3.2. We get ⇣ ⇣ nd d md d r X 1 µ2 (d1 ) K 2c ⌘ ⇣ r ⌘ 1 2 1 2 OD1,2 = 4⇡ 2 = W , , , U 3 1 K K K 8⇡rnmd1 L 2 n,m,r,d1 ,d2 1 e(1/8)c 2 nmrd1 d2 c>LK



1 c

X

S(a21 , n2 m2 d21 , c)e

a1 mod c

⇣ 2nmd ⌘⌘ 1

c

+ . . . + O(K

1/2+✏

).

By Lemma 2.5 we evaluate the complete sum and, replacing c with c2 we get, ⇣ ⇣ nd d md d r X 1 (c2 )µ2 (d1 ) K 2 c2 ⌘ ⇣ r ⌘⌘ 1 2 1 2 OD1,2 = 4⇡ 2 = W , , , U 3 K K K 8⇡rnmd1 L 2 2 n,m,r,d1 ,d2 1 e(1/8)c nmrd1 d2 c>LK



+ . . . + O(K

1/2+✏

).

3.4. Combining OD1,1 and OD1,2 to recover OD1 . Adding together the final expressions for OD1,1 and OD1,2 , we get a sum over all c: ⇣ ⇣ nd d md d r X 1 (c2 )µ2 (d1 ) K 2 c2 ⌘ ⇣ r ⌘⌘ 1 2 1 2 OD1 = 4⇡ 2 = W , , , U 3 K K K 8⇡rnmd1 L 2 2 n,m,r,d1 ,d2 ,c 1 e(1/8)c nmrd1 d2 + . . . + O(K

1/2+✏

).

3.5. The sum S2 . Using Hecke multiplicativity in a di↵erent way than we did for S1 , because we want to apply Poisson summation to a di↵erent variable this time, we get ⇣ k 1 ⌘ X† X a (r2 m2 /d2 )a (n2 ) ⇣ ⇣ r ⌘⌘ X 8 f f S2 = h Vk (n)Vk (m)Vk (r) 1 U . 1 K K L (nmr) 2 k⌘0 mod 2 f 2Hk n,m,r 1 d|(r 2 ,m2 )

Applying Lemmas 2.2 and 2.9, we get S2 = D2 + OD2 , where D2 =

8 K

X

k⌘0 mod 2

h

⇣k

K

1⌘

X

n,m,r 1 n =m2 r 2 /d2 d|(r 2 ,m2 ) 2

1 (nmr)

1 2

⇣ Vk (n)Vk (m)Vk (r) 1

U

⇣ r ⌘⌘ L

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

11

and (after writing d = d1 d22 and replacing r by rd1 d2 and m by md1 d2 ) the o↵-diagonal part is ⇣ X 1 S(n2 , r2 m2 d21 , c)µ2 (d1 ) e(2nmrd1 /c) OD2 = 4⇡ 2 = 3 1 e(1/8) c 2 nmrd12 d2 n,m,r,d1 ,d2 ,c 1 ⇣ n md d rd d ⇣ rd d ⌘⌘⌘ K 2 c ⌘⇣ 1 2 1 2 1 2 W , , , 1 U + . . . + O(K 1/2+✏ ). K K K 8⇡rnmd1 L 3.6. Combining D1 and D2 . Define the total diagonal to be D = D1 + D2 . By (2.2), we get X

8 K

D=

h

k⌘0 mod 2

⇣k

K

1⌘

X

n,m,r 1 n2 =m2 r 2 /d2 d|(r 2 ,m2 )

1 1

(nmr) 2

Vk (n)Vk (m)Vk (r).

Now writing d = d1 d22 as before, we can replace r by rd1 d2 and m by md1 d2 , to get ⇣k 1⌘ X X 8 µ2 (d1 ) (3.7) D= h Vk (n)Vk (md1 d2 )Vk (rd1 d2 ). 1 K K (nmr) 2 d1 d2 k⌘0 mod 2 n,m,r,d1 ,d2 1 n=mrd1

3.7. The sum OD2 . In this sum we have r < K 1 ✏ , which was also the condition in [13, Lemma 3.2]. Following the argument given there, we sum over n by Poisson summation after splitting into residue classes modulo c. We get (3.8) OD2 =

X

1
1

4⇡ 2 =



X

m,r,d1 ,d2 ,c

(3.9) where c (l) = W

Z

1 1

µ2 (d1 )

c (l) K W 1 c 1 e(1/8)c 2 mrd1 d2 K 3 2

1 ⇣ md1 d2 rd1 d2 Kc ⌘⇣ W x, , , 1 x K K 8⇡mrd1 x

X

S(a2 , r2 m2 d21 , c)e(2armd1 /c)

a mod c

U

+ . . . + O(K

1/2+✏

⇣ rd d ⌘⌘ ⇣ xlK ⌘ 1 2 e dx. L c

If l 6= 0, we integrate by parts j times and use (2.9) to see that Z K✏ c j mrd1 x B dx c (l) ⌧ W . lK Kc |x|2+j 0 Taking B = j + 2, we get

1 ✏

c (l) ⌧ W

Z

K✏ 0

1 l

j

mrd1 K2

j

mrd1 2 dx. Kc

Keep in mind that r < K and that we may restrict to md1 d2 < K 1+✏/2 up to negligible error. Thus by taking j large enough, we get that the contribution of l 6= 0 is O(K 100 ). Now we can convert the l = 0 contribution back to a sum over n, as we saw in section 3.2 and [13, Lemma 3.2]. Evaluating the innermost exponential sum in (3.8) using Lemma 2.5, we get ⇣ ⇣ n md d rd d X 1 (c2 )µ2 (d1 ) K 2 c2 ⌘ 1 2 1 2 OD2 = 4⇡ 2 = W , , , 3 K K K 8⇡rnmd1 2 2 n,m,r,d1 ,d2 ,c 1 e(1/8)c nmrd1 d2 ⇣ ⇣ rd d ⌘⌘⌘ 1 2 1 U + . . . + O(K 1/2+✏ ). L



),

12

SOUMYA DAS AND RIZWANUR KHAN

3.8. Combining OD1,1 and OD1,2 . Define the total o↵-diagonal to be OD = OD1 + OD2 . We have Lemma 3.9. (3.10)

OD =

1

4⇡ 2 =



X

(c2 )µ2 (d1 )

n,m,r,d1 ,d2 ,c 1

3 2

W

e(1/8)c2 nmrd1 d2

⇣ n md d rd d K 2 c2 ⌘⌘ 1 2 1 2 , , , K K K 8⇡rnmd1 + . . . + O(K

1/2+✏

)

Proof. Adding together OD1 and OD2 , we see that what we need to prove is that X (c2 )µ2 (d1 ) ⇣ n md1 d2 rd1 d2 K 2 c2 ⌘ ⇣ rd1 d2 ⌘ (3.11) OD20 = W , , , U 3 K K K 8⇡rnmd1 L 2 2 n,m,r,d1 ,d2 ,c 1 c nmrd1 d2 equals (3.12)

OD10 =

X

n,m,r,d1 ,d2 ,c 1

(c2 )µ2 (d1 ) 3 2

c2 nmrd1 d2

W

⇣ nd d md d r K 2 c2 ⌘ ⇣ r ⌘ 1 2 1 2 , , , U K K K 8⇡rnmd1 L

1 up to an error of O(K 1/2+✏ ). For the secondary term with K W0 in place of W , the corresponding 1/2+✏ expressions will both be O(K ). ˜w for the Mellin transforms of U and ~w . For bounds we have (2.5) and, since U ˜ and ~ Write U ˜ (s) ⌧<(s) K ✏ (1 + |s|) B for any integer B 0. is compactly supported, we have U Using (2.8) and Mellin inversion, we have that Z Z Z Z Z 1 ⇣(1 + 2x) ⇣(1 + 2y) ⇣(1 + 2z) OD20 = (8⇡)s G(x)G(y)G(z) (2⇡i)5 (1) (1) (1+✏) (1) (1 ✏) x y z

K x+y+z Lu ⇣(1 + x s)⇣(1 + y s)⇣(1 + z + u s)⇣(1 + y + z + u)⇣(2s)⇣(2s + 1) K 2s ⇣X 2 µ (d1 ) ⌘e ˜ (u)dsdxdydzdu. ~x+y+z (s)U 3 2 +y+z+u s d1 1 d1

1

Here is a word of explanation: the zeta functions ⇣(1 + 2x), ⇣(1 + 2y), ⇣(1 + 2z) come from the integrand in (2.8), the zeta functions ⇣(1 + x s), ⇣(1 + y s), ⇣(1 + z + u s) come from the sums over n, m, r respectively, the zeta function ⇣(1 + y + z + u) comes from the sum over d2 , and the zeta functions ⇣(2s)⇣(2s + 1) 1 come from the sum over c. Moving the line of integration from <(u) = 1 to <(u) = 3/2 + ✏, we cross a simple pole of ⇣(1 + z + u s) at u = s z. The integral on the new line is the furthest we can shift left before we would encounter another pole, of the d1 -sum. On the new line, the integral is bounded by K 1+1+1+✏ L 3/2 ⌧ K 1/2+✏ . K2 Thus up to this error, taking the residue at u = s z, we have that OD20 equals Z Z Z Z 1 ⇣(1 + 2x) ⇣(1 + 2y) ⇣(1 + 2z) K x+y+z Ls z (8⇡)s G(x)G(y)G(z) 4 (2⇡i) (1) (1+✏) (1) (1 ✏) x y z K 2s ⇣ X µ2 (d ) ⌘ 1 e ˜ (s z)dsdxdydz. ⇣(1 + x s)⇣(1 + y s)⇣(1 + y + s)⇣(2s)⇣(2s + 1) 1 ~x+y+z (s)U 3 2 +y d d1 1 1

Now we move the line of integration from <(s) = 1 ✏ to <(s) = 100, crossing simple poles at s = x and s = y. On the new line, the integral is bounded by K 1+1+1+✏ L100 K 200

1

⌧K

10

.

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

13

From the residues, we get (3.13) OD20 =

Z

Z

Z

1 ⇣(1 + 2y) ⇣(1 + 2z) K y+z Lx z x y z Kx (1) (1+✏) (1) ⇣ X µ2 (d ) ⌘ 1 e ˜ (x z)dxdydz ⇣(1 + y x)⇣(1 + y + x)⇣(2x) ~x+y+z (x)U 3 2 +y d1 1 d1 Z Z Z 1 ⇣(1 + 2x) ⇣(1 + 2y) ⇣(1 + 2z) K x+z Ly y (8⇡) G(x)G(y)G(z) (2⇡i)3 (1) (1+✏) (1) x y z Ky ⇣ X µ2 (d ) ⌘ 1 e ˜ (y z)dxdydz + O(K 1/2+✏ ). ⇣(1 + x y)⇣(2y) ~x+y+z (y)U 3 2 +y d1 1 d1 1 (2⇡i)3

(8⇡)x G(x)G(y)G(z)

z

The second integral of (3.13) falls into the error term; this can be seen by moving the y-integral far to the right (no poles are crossed). For the first integral of (3.13), we move the x-integral far to the right. We cross a simple pole at x = y and the shifted integral falls into the error term. From the residue we get

OD20

(3.14)

1 = (2⇡i)2

Z

(1)

⇣(2y)

Z

(8⇡)y G(y)2 G(z) (1+✏)

⇣(1 + 2y)2 ⇣(1 + 2z) z y K L y2 z

⇣ X µ2 (d ) ⌘ 1 e ˜ (y ~2y+z (y)U 3 2 +y d1 1 d1

z)dydz + O(K

1/2+✏

z

).

Now we turn to OD10 . We have

OD10 =

1 (2⇡i)5

Z

Z

(1) (1) x+y+z

K

Z

(1+✏) u

Z

(1)

Z

(8⇡)s G(x)G(y)G(z) (1 ✏)

⇣(1 + 2x) ⇣(1 + 2y) ⇣(1 + 2z) x y z

L ⇣(1 + x s)⇣(1 + y s)⇣(1 + z + u K 2s ⇣ X µ2 (d ) ⌘ 1 e ˜ (u)dsdxdydzdu. ~x+y+z (s)U 3 +x+y s 2 d d1 1 1

s)⇣(1 + x + y)⇣(2s)⇣(2s + 1)

Moving the line of integration from <(u) = 1 to <(u) = 100, we cross a simple pole at u = s The shifted integral is negligible and from the residue we get

OD10 =

1 (2⇡i)4

Z

(1)

Z

(1+✏)

Z

(1)

Z

(8⇡)s G(x)G(y)G(z) (1 ✏)

⇣(1 + 2x) ⇣(1 + 2y) ⇣(1 + 2z) x y z

K x+y+z Ls z ⇣(1 + x s)⇣(1 + y s)⇣(1 + x + y)⇣(2s)⇣(2s + 1) K 2s ⇣ X µ2 (d ) ⌘ 1 e ˜ (s z)dsdxdydz + O(K 10 ). ~x+y+z (s)U 3 2 +x+y s d1 1 d1

1

1

z.

14

SOUMYA DAS AND RIZWANUR KHAN

Now we move the s-integral to <(s) = 5/2 ✏, which is just before the pole of the d1 -sum, crossing simple poles at s = x and s = y. We get Z Z Z 1 1 ⇣(1 + 2y) ⇣(1 + 2z) K y+z Lx z x (3.15) OD10 = (8⇡) G(x)G(y)G(z) (2⇡i)3 (1) (1+✏) (1) x y z Kx ⇣ X µ2 (d ) ⌘ 1 e ˜ (x z)dxdydz ⇣(1 + y x)⇣(1 + x + y)⇣(2x) ~x+y+z (x)U 3 2 +y d1 1 d1 Z Z Z 1 ⇣(1 + 2x) 1 ⇣(1 + 2z) K x+z Ly z y (8⇡) G(x)G(y)G(z) (2⇡i)3 (1) (1+✏) (1) x y z Ky ⇣ X µ2 (d ) ⌘ 1 e ˜ (y z)dxdydz + O(K 1/2+✏ ). ⇣(1 + x y)⇣(1 + x + y)⇣(2y) ~x+y+z (y)U 3 2 +x d1 1 d1

The second integral of (3.15) falls into the error term; this can be seen by moving the y-integral far to the right (no poles are crossed). For the first integral of (3.13), we move the x-integral far to the right. We cross a simple pole at x = y and the shifted integral falls into the error term. From the residue we get Z Z 1 ⇣(1 + 2y)2 ⇣(1 + 2z) z y z 0 y 2 (3.16) OD1 = (8⇡) G(y) G(z) K L (2⇡i)2 (1) (1+✏) y2 z ⇣ X µ2 (d ) ⌘ 1 e ˜ (y z)dydz + O(K 1/2+✏ ). ⇣(2y) ~2y+z (y)U 3 2 +y d1 1 d1 Comparing with (3.14), we see that OD10 = OD20 + O(K 1/2+✏ ), just as we wanted to prove. Also observe by moving the lines of integration to <(z) = <(y) = 1/2 + ✏ in (3.14) or (3.16) that 1 OD10 and OD20 are bounded by K 1/2+✏ . Thus the corresponding expressions with K W0 in place of 1/2+✏ W are bounded by K . ⇤ 4. The diagonal In this section we evaluate the contribution of the diagonal (3.7). Lemma 4.1. D = P (log k) + O(k

1/2+✏

)

for some polynomial P of degree 6. Proof. By Stirling’s approximation, we have Z 1 G(z)⇣(1 + 2z) ⇣ k ⌘z Vk (⇠) = dz + O(k 2⇡i (✏) z ⇠ Using this we get ⇣k 1⌘ X 8 D= h K K k⌘0 mod 2

=

8 K

X

⇣k

1⌘

X

µ2 (d1 ) 1

n,m,r,d1 ,d2 1 n=mrd1

Z

Z

).

Vk (n)Vk (md1 d2 )Vk (rd1 d2 )

Z

G(x)G(y)G(z)⇣(1 + 2x)⇣(1 + 2y)⇣(1 + 2z) x+y+z k K xyz (3✏) (2✏) (✏) k⌘0 mod 2 ⇣ X µ2 (d ) ⌘ 1 ⇣(1 + x + y)⇣(1 + x + z)⇣(1 + y + z) dxdydz + O(K 1+✏ ). 3 2 +y+z d1 1 d1 h

1 (2⇡i)3

(nmr) 2 d1 d2

1+✏

We will prove the claim by shifting the lines of integration to <(x) = <(y) = <(z) = 1/2 + ✏. This ensures that we stay in the region of absolute convergence of the d1 -sum, and all the shifted

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

15

integrals will be bounded by K 1/2+✏ . Showing that the main term is a degree 6 polynomial in log k is equivalent to showing that the following is a degree 6 polynomial in log k up to the same error: 1 (2⇡i)3

(4.1)

Z

(3✏)

Z

(2✏)

Z

(✏)

G(x)G(y)G(z) k x+y+z dxdydz. x2 y 2 z 2 (x + y)(y + z)(x + z)

There are several cases that arise when we shift integrals and we explain just one of them as the argument for the rest are similar. If we first shift the x-integral of (4.1) to <(x) = 1/2 + ✏, we will encounter a simple pole at x = y and a double pole at x = 0. The residue at the double pole yields the integrals log kG(0) + G0 (0) (2⇡i)2

Z

(3✏)

Z

(2✏)

G(y)G(z) y+z k dydz y 3 z 3 (y + z)

1 (2⇡i)2

Z

(3✏)

Z

(2✏)

G(y)G(z)G(0) y+z k dydz. y4 z4

Consider the last integral above, and shift the integral to <(y) = <(z) = 1/2 + ✏, crossing poles of order 4 at y = 0 and z = 0. Each residue is a degree 3 polynomial in log k, which together gives a degree 6 polynomial in log K, and the shifted integral is O(K 1/2+✏ ). ⇤

5. The off-diagonal In this section we evaluate the o↵-diagonal contribution (3.10). Lemma 5.1. We have OD = P (log K) + O(K

1/2+✏

)

for some polynomial P of degree 6 (not the same one from the previous result). Proof. We have by Lemma 3.9 that OD 4⇡

1 2



1 == e( 1/8) (2⇡i)4

Z

( 34 +2✏)

Z

( 34 +✏)

Z

( 34 )

Z

(8⇡)s G(x)G(y)G(z) ( 34

✏)

⇣(1 + 2z) K x+y+z ⇣(1 + x s)⇣(1 + y s)⇣(1 + z z K 2s ⇣ X µ2 (d ) ⌘ ⌘ 1 e ~ (s)dsdxdydz . x+y+z 3 2 +y+z s d1 1 d1

⇣(1 + 2x) ⇣(1 + 2y) x y

s)⇣(1 + y + z)⇣(2s)⇣(2s + 1)

1

We shift the line of integration from <(s) = 1 ✏ to <(s) = 2 ✏, stopping just before the pole of the d1 -sum. The integral on the new line is O(K 7/4+✏ ). This shift crosses simple poles at s = x, s = y, and s = z, and contribution of the residues gives OD 4⇡

1 2

=

I1

I2

I3 + O(K

3+✏

),

16

SOUMYA DAS AND RIZWANUR KHAN

where ⇣ I1 = = e( 1/8)

1 (2⇡i)3

Z

( 34 +2✏)

Z

Z

( 34 +✏)

⇣(2x) ⇣(1 + 2y) ⇣(1 + 2z) x y z ⌘ ⌘ 2 µ (d1 ) e ~ (x)dxdydz , x+y+z 3 +y+z x

(8⇡)x G(x)G(y)G(z) ( 34 )

⇣X K y+z ⇣(1 + y x)⇣(1 + z x)⇣(1 + y + z) Kx 2 d1 1 d1 Z Z Z ⇣ 1 ⇣(1 + 2x) ⇣(2y) ⇣(1 + 2z) I2 = = e( 1/8) (8⇡)y G(x)G(y)G(z) 3 (2⇡i) ( 34 +2✏) ( 34 +✏) ( 34 ) x y z ⇣ ⌘ ⌘ x+z 2 X K µ (d1 ) e ⇣(1 + x y)⇣(1 + z y)⇣(1 + y + z) ~x+y+z (y)dxdydz , 3 Ky 2 +z d1 1 d1 Z Z Z ⇣ 1 ⇣(1 + 2x) ⇣(1 + 2y) ⇣(2z) I3 = = e( 1/8) (8⇡)z G(x)G(y)G(z) (2⇡i)3 ( 34 +2✏) ( 34 +✏) ( 34 ) x y z ⇣ X µ2 (d ) ⌘ ⌘ K x+y 1 e ⇣(1 + x z)⇣(1 + y z)⇣(1 + y + z) ~x+y+z (z)dxdydz . 3 z +y K 2 d1 1 d1

The treatment of these integrals is similar, so we just look at one of them. For I1 , we shift the x-integral to <(x) = 2 ✏, where the shifted integral is O(K 1/2+✏ ). This shift crosses simple poles at x = y and x = z, giving I1 = where I1,1



and I1,2



1 = = e( 1/8) (2⇡i)2 K y ⇣(1 + y

Z

I1,2 + O(K

1/2+✏

),

⇣(2y)⇣(1 + 2y) ⇣(1 + 2z) y2 z ⇣ X µ2 (d ) ⌘ ⌘ 1 e y)⇣(1 + y + z) ~2y+z (y)dydz 3 2 +z d1 1 d1

1 = = e( 1/8) (2⇡i)2 K z ⇣(1 + z

Z

I1,1

( 34 +2✏)

Z

(8⇡)y G(y)2 G(z)

( 34 +✏)

Z

⇣(1 + 2y) ⇣(1 + 2z)⇣(2z) y z2 ⇣ X µ2 (d ) ⌘ ⌘ 1 e z)⇣(1 + y + z) ~ (z)dydz . y+2z 3 2 +y d1 1 d1 ( 34 +2✏)

(8⇡)z G(y)G(z)2

( 34 +✏)

In I1,2 , we shift the y-integral to <(y) = 1/2 + ✏, crossing a double pole at y = 0. The residue is a degree 1 polynomial in log K and the shifted integral has size O(K 1/2+✏ ). In I1,1 , we shift the z-integral to <(z) = 1/2 + ✏, crossing a simple pole at z = y and a double pole at z = 0. The shifted integral has size O(K 1/2+✏ ) and the residue is some constant. The residue at the simple pole of I1,2 is Z ⇣ ⌘ 1 ⇣(1 + 2y)3 ⇣(2y) ⇣ X µ2 (d1 ) ⌘e = e( 1/8) (8⇡K)y G(y)3 ~ (y)dy 3y 3 2⇡i ( 34 +✏) y3 2 +y d1 1 d1 p Z 1 ⇣ 1 Z ⇣y 1⌘ ⌘ ⇣(1 + 2y)3 ⇣(2y) ⇣ X µ2 (d1 ) ⌘ h( u) y 1 2 p == (8⇡K)y G(y)3 u (y)e dudy , 3 3 2⇡i ( 34 +✏) 0 y 4 8 2 +y 2⇡ d1 1 d1 on using Lemma 2.11 to evaluate the Mellin transform e ~3y (y). Now we shift the line of integration to <(y) = 1/2 + ✏, where the new integral is O(K 1/2+✏ ). The shift crosses a simple pole at y = 1/2 and a pole of order 7 at y = 0. The residue from the pole at y = 0 is a degree 6 polynomial in log K.

THE THIRD MOMENT OF SYMMETRIC SQUARE L-FUNCTIONS

The residue from the simple pole is ⇣ ⇣ X µ2 (d ) ⌘ Z 1 p 1 1 = 16K 2 G( 12 )3 ( 12 )⇣(2)3 h( u)u d21 0

1 4

d1 1

17

⌘ du .

1

This would have been too big because of the presence of K 2 , but fortunately it vanishes because we are taking the imaginary part. ⇤ References 1. O. Balkanova and D. Frolenkov, On the mean value of symmetric square L-functions, preprint, arXiv:1610.06331. 2. V. Blomer, On the central value of symmetric square L-functions, Math. Z. 260 (2008), no. 4, 755–777. 3. J. B. Conrey, D. W. Farmer, J. P. Keating, M. O. Rubinstein, and N. C. Snaith, Integral moments of L-functions, Proc. London Math. Soc. (3) 91 (2005), no. 1, 33–104. 4. W. Duke, J. B. Friedlander, and H. Iwaniec, Bounds for automorphic L-functions. II, Invent. Math. 115 (1994), no. 2, 219–239. 5. Stephen Gelbart and Herv´ e Jacquet, A relation between automorphic representations of GL(2) and GL(3), Ann. ´ Sci. Ecole Norm. Sup. (4) 11 (1978), no. 4, 471–542. 6. I. S. Gradshteyn and I. M. Ryzhik, Table of integrals, series, and products, sixth ed., Academic Press Inc., San Diego, CA, 2000, Translated from the Russian, Translation edited and with a preface by Alan Je↵rey and Daniel Zwillinger. 7. H. Iwaniec and P. Sarnak, Dirichlet L-functions at the central point, Number theory in progress, Vol. 2 (ZakopaneKo´scielisko, 1997), de Gruyter, Berlin, 1999, pp. 941–952. 8. , Perspectives on the analytic theory of L-functions, Geom. Funct. Anal. (2000), no. Special Volume, Part II, 705–741, GAFA 2000 (Tel Aviv, 1999). 9. Henryk Iwaniec, Topics in classical automorphic forms, Graduate Studies in Mathematics, vol. 17, American Mathematical Society, Providence, RI, 1997. 10. Henryk Iwaniec and Emmanuel Kowalski, Analytic number theory, American Mathematical Society Colloquium Publications, vol. 53, American Mathematical Society, Providence, RI, 2004. 11. M. Jutila, On the mean value of L( 12 , ) for real characters, Analysis 1 (1981), no. 2, 149–161. 12. N. M. Katz and P. Sarnak, Random matrices, Frobenius eigenvalues, and monodromy, American Mathematical Society Colloquium Publications, vol. 45, American Mathematical Society, Providence, RI, 1999. 13. R. Khan, Non-vanishing of the symmetric square L-function at the central point, Proc. Lond. Math. Soc. (3) 100 (2010), no. 3, 736–762. 14. Yuk-Kam Lau, Non-vanishing of symmetric square L-functions, Proc. Amer. Math. Soc. 130 (2002), no. 11, 3133–3139. 15. Goro Shimura, On the holomorphy of certain Dirichlet series, Proc. London Math. Soc. (3) 31 (1975), no. 1, 79–98. 16. K. Soundararajan, Nonvanishing of quadratic Dirichlet L-functions at s = 12 , Ann. of Math. (2) 152 (2000), no. 2, 447–488. 17. , Extreme values of zeta and L-functions, Math. Ann. 342 (2008), no. 2, 467–486. 18. B. Sprung, Moments of symmetric square L-functions, 2015, Thesis (M.Sc.)–University of G¨ ottingen. 19. M. P. Young, The third moment of quadratic Dirichlet L-functions, Selecta Math. (N.S.) 19 (2013), no. 2, 509–543. Department of Mathematics, Indian Institute of Science, Bangalore, India. E-mail address: [email protected] Science Program, Texas A&M University at Qatar, Doha, Qatar E-mail address: [email protected]

THE THIRD MOMENT OF SYMMETRIC SQUARE L ...

B. Sprung, Moments of symmetric square L-functions, 2015, Thesis (M.Sc.)–University of Göttingen. 19. M. P. Young, The third moment of quadratic Dirichlet L-functions, Selecta Math. (N.S.) 19 (2013), no. 2, 509–543. Department of Mathematics, Indian Institute of Science, Bangalore, India. E-mail address: [email protected].

610KB Sizes 1 Downloads 146 Views

Recommend Documents

Square Wave Gen - Symmetric and Asymmetric.pdf
There was a problem loading more pages. Retrying... Square Wave Gen - Symmetric and Asymmetric.pdf. Square Wave Gen - Symmetric and Asymmetric.pdf.

Comparison of Square Comparison of Square-Pixel and ... - IJRIT
Square pixels became the norm because there needed to be an industry standard to avoid compatibility issues over .... Euclidean Spaces'. Information and ...

The geometry of second symmetric products of curves
Yoshihara (see [58], [53] and [59]). If X is an irreducible complex projective variety of dimension n, the degree of irrationality of X is defined to be the integer dr(X) := min .... For a positive integer d, let E = {Et}t∈T be a family of curves o

Comparison of Symmetric Key Encryption Algorithms - IJRIT
In this paper we provides a comparison between most common symmetric key cryptography algorithms: DES, AES, RC2, ... Today it becomes very essential to protect data and database mostly in e-transaction. The information has .... For most applications,

The Aha! Moment
CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE. 210. Volume .... sought to trace the or- igins of insight farther back in time to answer a more funda-.

l|||l|||||l||||||||l
Jun 15, 2007 - 3/2005. (64) Patent No.: 8,067,038. * cited by examiner. Issued: Nov. 29, 2011. _. App1_ NO;. 123,041,875. Primary Examiner * Michael Meller.

On the Existence of Symmetric Mixed Strategy Equilibria
Mar 20, 2005 - In this note we show that symmetric games satisfying these ... mixed strategies over A, i. e. the set of all regular probability measures on A.

on the Square
manager again. He has done a great job keeping the pool in great shape as well as becoming very good at fixing things that break! We will also have many familiar guards returning but we are always looking for new guards. Anyone interested should call

the square kilometre array - GitHub
Lost sky coverage. • Significant impact on ... Offset Gregorian still the best option. © EMSS Antennas, 3GC-II 2011 ..... Large amount of data. – Need to interpolate.

In this moment the dream
Biggest loser s14e08.Blood thelast vampireeng. ... Pdf professionaleditor.In this moment the dream.Iamnumber ... Big bang s07e09.Ray lavender.Mandy S exgf.

Symmetric Splitting in the General Theory of ... - Research at Google
In one of its stable models, p is true and q is false; call that ... In the other, p is false and q is true; call it M2. .... In the conference paper, all predicates are implic-.

the square kilometre array - GitHub
Simulate and calibrate (blind) data. – Provide ... GRASP 9 analysis (by Bruce Veidt). – Physical optics, PTD extension. – Very efficient dish analysis. – Adding ...

A Moment of Violent Madness.pdf
and walls.” The children were buried. on 26 December 1952 at the Santa. Clara City Cemetery. Archie Connett and his ex-wife. survived their injuries. After a month- long trial, Archie Connett was found. guilty of three counts of second-degree. murd

SINGULARITIES OF SYMMETRIC HYPERSURFACES ...
National Council of Research and Technology (CONICET). Buenos Aires ... coordinates. This allows us to obtain critical information concerning the singu- .... by a polynomial f ∈ Fq[T] of degree k + d < q − 1 is a deep hole of the standard.

Comparison of Symmetric Key Encryption Algorithms - IJRIT
Today it becomes very essential to protect data and database mostly in .... within today's on-chip cache memory, and typically do so with room to spare. RC6 is a ...

on the minimal fourier degree of symmetric boolean ...
2. AMIR SHPILKA, AVISHAY TAL of course other areas of math and physics), a partial list includes learning theory, hardness of approximation, pseudo-randomness, social choice theory, coding theory, cryptography, additive combinatorics and more. A typi

Small-Sample Performance of the Vuong Test: Symmetric vs ...
Small-Sample Performance of the Vuong Test: Symmetric vs. Asymmetric Information Models∗. Jose Miguel Abito†. June 2007. Abstract. In this note, we study ...

The automorphism group of Cayley graphs on symmetric groups ...
May 25, 2012 - Among the Cayley graphs of the symmetric group generated by a set ... of the Cayley graph generated by an asymmetric transposition tree is R(Sn) .... If π ∈ Sn is a permutation and i and j lie in different cycles of π, then.

Universal functional sequence: the symmetric syntax of ...
Jun 26, 2012 - 'Jan unfolded the deckchairs.' Selectional restriction on a theme vowel: .... together, that is two concepts contributing exclusive import. 7 ...

Catabolism of L-phenylalanine, L-tyrosine and L ...
CHCA. : Cyano-4-hydroxycinnamic acid. BSA. : Bovine serum albumin ...... (10-100 μl) of BSA from a 0.2 mg/ml stock solution into clean dry test tubes. Added 1.5.

l|| |||l| |||l| ||l|| "ill III III"
Aug 3, 2004 - This invention relates generally to techniques for utilizing interactive .... ing procedure in advance, so that the personal channel pro gram is ready for ..... illustration, and in alternate embodiments, the present inven tion may ...

@ \l. l. l.
Primary Examiner—Louis S. Zarfas. [22] Flled'. NOV' 30' 1996. Assistant Examiner—Monica A. Weingart. [51] LOC (6) Cl. ....................................................... .. 22-01.