This paper extends the approximate functional equation, originally established for functions in the Selberg class, to include their derivatives, broadening the analytical tools available for such functions.
Contribution
The paper generalizes the approximate functional equation to derivatives of functions in the Selberg class, enhancing understanding of their analytical properties.
Findings
01
Derived the approximate functional equation for derivatives of Selberg class functions
02
Extended the applicability of the functional equation to higher derivatives
03
Provided a new analytical framework for studying Selberg class functions
Abstract
Let F(s) be a function belonging to Selberg class. Chandrasekharan and Narasiman proved the approximate functional equation for F(s). In this paper, we shall generalize this formula for the derivatives of F(s).
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TopicsFunctional Equations Stability Results · Meromorphic and Entire Functions
Full text
Approximate functional equation for the derivatives of functions in Selberg class
Yoshikatsu Yashiro
Abstract
Let F(s) be a function belonging to Selberg class. Chandrasekharan and Narasiman proved the approximate functional equation for F(s). In this paper, we shall generalize this formula for the derivatives of F(s).
1 Introduction
Selberg [8] introduced a class of zeta functions satisfying the following properties:
(a)
The function F(s) is written as an absolutely convergent Dirichlet series F(s)=∑n=1∞aF(n)n−s for Res>1.
2. (b)
There exists m∈Z≥0 such that (s−1)mF(s) is an entire function of finite order.
3. (c)
The function Φ(s)=Qs∏j=1qΓ(λjs+μj)F(s) satisfies Φ(s)=ωΦ(1−s) where q∈Z≥1, Q∈R>0, λj∈R>0, μj∈C:Reμj≥0, ω∈C:∣ω∣=1, and X denotes X(s)=X(s).
4. (d)
The Dirichlet coefficients aF(n) satisfy aF(n)=O(nε) for any ε∈R>0.
5. (e)
The function logF(s) is written as logF(s)=∑n=1∞bF(n)n−s where bF(n) satisfy bF(n)=0 for n=pr(r∈Z≥1) and bF(n)=O(nθ) for some θ∈R<1/2,
which is called the Selberg class S. For example, we see that the Riemann zeta function ζ(s)=∑n=1∞n−s and the L-function attatched to cusp forms Lf(s)=∑n=1∞λf(n)n−s belong to S, where f is a cusp form of weight k given by f(z)=∑n=1∞λf(n)n2k−1e2πinz. By Landau’s [5] result (see (15) of p.214), the conditions (a)–(d) of S imply that the average of aF(s) is approximated as
[TABLE]
where cr∈C, pF is the order of pole at s=1 for F(s), and dF is given by dF=2∑j=1qλj called the degree of F. The conditon (c) implies that the m-th derivatives of F(s) holds
[TABLE]
for s∈C where χF(s) is given by
[TABLE]
Chandrasekharan and Narasiman [2] proved the approximate functional equation for a class of zeta functions (see Theorem 2 of p.53). In the Selberg class, this equation is written as
[TABLE]
under the condition an≥0 where F∈S, s=σ+it:0≤σ≤1,∣t∣≥1 and y=(Qλ1λ1⋯λqλq)∣t∣dF/2.
On the other hand, the author [9] showed the approximate functional equation for the derivatives of L-function attached for cusp form as
[TABLE]
and introduced the mean value formula for Lf(m)(s) as
[TABLE]
where χLf(s)=(−1)k/2(2π)1−2sΓ(1−s+2k−1)/Γ(s+2k−1) and Af is a positive constant depending on f. These results are generalized for those results for Lf(s) proved by Good [4].
For F∈S,σ>1/2 and T>0, let NF(m)(σ,T) be a number of zeros for F(m)(s) in the region Res≥σ, 0<Ims≤T.
As the application of those results, the author [10] obtained a zero-density estimate for Lf(m)(s), which is
[TABLE]
for σ>1/2. This result corresponds the estimate of zero-density estimate for ζ(m)(s)
[TABLE]
for σ>1/2 which is shown by Aoki–Minamide [1]. However, zero-density estimates for derivatives for zeta-function belonging to Selberg class is not known.
In this paper we study the approximate functional equation for F(m)(s) in order to establish tools for estimating NF(m)(σ,T) in next paper. To attain the above object we shall use Good’s [4] method and the result (1.1).
Let R be a class of C∞-class functions φ:[0,∞)→R satisfying φ(ρ)=1 for ρ∈[0,1/2] and φ(ρ)=0 for ρ∈[2,∞), which is called characteristic functions. Put φ0(ρ):=1−φ(1/ρ) and ∥φ(j)∥1=∫0∞∣φ(j)(ρ)∣dρ where φ(j) is the j-th derivative function of φ∈R.
Then we see that φ0∈R and ∥φ(j)∥1<∞. For j∈Z≥0, r∈{0,…,m}, ρ∈R>0 and s∈C:∣t∣≫1, we define
[TABLE]
where sgn(t)=±1 if t≷0, F={(1/2±1)−σ+∣t∣eiπ(∓1/2+θ)∣θ∈[0,1]}∪{u−σ±i∣t∣∣u∈[−1/2,3/2]} (double-sign corresponds), and gF(s) is given by
[TABLE]
Here Aj(s) is given by
[TABLE]
where νj=0 when Reμj>λj/2 and νj=[λj/2−Reμj] when Reμj≤λj/2.
Then we obtain the approximate functional equation for F(m)(s) containing characteristic functions:
Theorem 1.1**.**
For any F∈S, φ∈R, m∈Z≥0, l∈Z>MF, s∈C:σ∈[0,1],∣t∣≫1 and y1,y2∈R>0:y1y2=(Qλ1λ1⋯λqλq)2∣t∣dF, we have
[TABLE]
where MF is some positive constant and Rφ(s) is given by
[TABLE]
Next introducing new functions φα∈R and ξ∈R, replacing φ to φα in the above theorem, and choosing α∈R>0 in order to minimize the error term, we obtain the approximate functional equation for F(s):
Theorem 1.2**.**
For any F∈S, m∈Z≥0 and s=σ+it:0≤σ≤1,∣t∣≫1 we have
[TABLE]
*where y1,y2∈R>0:y1y2=(Qλ1λ1⋯λqλq)2∣t∣dF.
By choosing
y1=y2=(Qλ1λ1⋯λqλq)∣t∣dF/2, the error terms of (1.9) are O(∣t∣2dF(1−σ)−21+ε).*
As an example of Theorem 1.2, we shall give the approximate functional equation for derivatives of Rankin-Selberg L-function. Let f and g be holomorphic cusp forms of weight k with respect to SL2(Z) given by f(z)=∑n=1∞λf(n)n2k−1e2πinz and g(z)=∑n=1∞λg(n)n2k−1e2πinz, the Rankin-Selberg L-function is defined by
[TABLE]
By results of Rankin [6], Selberg [7] and Delinge [3], we see that Lf×g(s) belongs to S. Hence we obtain
[TABLE]
where m∈Z≥0, s=σ+it:σ∈[0,1],∣t∣≫1, and χLf×g(s) is given by
[TABLE]
In next section we shall show preliminary lemmas to prove Theorems 1.1 and 1.2. Using these lemmas we shall give Theorems 1.1 and 1.2 in Section 3 and 4 respectively.
Let F and G be holomorphic functions in the region in D satisfying logF(s)=G(s) and F(s)=0 for s∈D. Then for any r∈Z≥1 there exist ℓ1,…,ℓr∈Z≥0 and Cℓ1,…,ℓr∈Z≥0 such that
[TABLE]
for s∈D. Especially Cr,0⋯,0=1.
Before approximating (χF(r)/χF)(s) we shall show the following formulas:
Lemma 2.3**.**
Let D={z∈C∣Rez<δ,∣Imz∣<1} where δ∈R≥0.
For any s∈C∖D we satisfy the following formulas:
(i)
n=1∑∞(s+n)l1={O(∣t∣−(l−1)),O(1),∣t∣≫1,∣t∣≪1,* where l∈Z≥2.*
2. (ii)
for any s∈C∖D and l∈Z≥2.
Combining (2.4) and (2.6), and estimating ∣s∣−(l−1) we obtain the formula (i). Similally to (i), we calculate
[TABLE]
Then for s∈C∖D the first and second term of right-hand side of (2.7) are
[TABLE]
and
[TABLE]
respectively, where (2.5) and logs=log∣t∣+iπsgn(t)/2+O(∣t∣−1) (see [4, p.335]) were used.
By combining (2.7)–(2.9) the formula (ii) is obtained.
∎
Using the infinite product of Γ(s) and applying the above lemma with F=χF, we obtain the approximate formula for (χF(r)/χF)(s) as follows:
Lemma 2.4**.**
For any F∈S and r∈Z≥0 the function (χF(r)/χF)(s) has pole of order r at s=−(μj+n)/λj,1+(μj+n)/λj where n∈Z≥0 and j∈{1,…,q}. Put
[TABLE]
where a,b∈R and δ∈R>0. Then for any s∈C∖(E1∪E2) we have
[TABLE]
where CF=(Qλ1λ1⋯λqλq)2.
Proof.
First we check the location and order of pole for (χF(m)/χF)(s). Taking logarithmic differentiation in the both-hand side of (1/Γ)(s)=seγs∏n=1∞(1+s/n)e−s/n and (1.3) we have
[TABLE]
respectively. Put G(l)(s)=(dl−1/dsl−1)G(1)(s) and let G(1)(s) be the right-hand side of (2.11). Applying (2.10) to (2.11), we get
[TABLE]
Hence G(l)(s) has pole of order l at s=−(μj+n)/λj,1+(μj+n)/λj(n∈Z≥0). By using Lemma 2.2 the first statement of Lemma 2.4 is showed.
Lastly we shall approximate G(l)(s). Since Re(λjs+μj)<δ, ∣Im(λjs+μj)∣<1 for s∈E1 and Re(λj(1−s)+μj)<δ, ∣Im(λj(1−s)+μj)∣<1 for s∈E2, Lemma 2.3 gives that
[TABLE]
for s∈C∖(E1∪E2). Especially in the case of j=1 and ∣t∣≫1, since sgn(Im(λjs+μj))+sgn(Im(λj(1−s)+μj))=0, G(1)(s) is approximated as
[TABLE]
for s∈C∖(E1∪E2) and ∣t∣≫1. By Lemma 2.2 a desired approximation is obtained:
[TABLE]
∎
Next in order to estimate the gamma-factors of (1.5) and (1.6), we shall use the following estimates:
For a,b∈R put D:={z∈C∣a≤Rez≤b} and E−:={z∈C∣Rez<1/2,∣Imz∣<1}. Then for any fixed s∈D and C0∈R>0 we have
[TABLE]
where C1 and C2 are constants.
Replace s↦λjs+μj and w↦λjw in the above lemma. Using the trivial estimate (1+∣λj(t+v)+Imμj∣)λj(σ+u)+Reμj−1/2≍λjλju(1+∣t+v∣)λj(σ+u)+Reμj−1/2 for s∈D and s+w∈D∖E1, and multiplying the above formula for j∈{1,…,q}, a desired estimate is obtained:
Lemma 2.6**.**
Let D and E1 be those of Lemma 2.4 respectively. Then for any fixed s∈D and c0∈R>0 we have
[TABLE]
where eF:=2∑j=1qReμj and c1, c2 are constants depending on λ1,μ1,…,λq,μq.
By using Stirling’s formula and residue theorem the functions γj(r)(s;ρ) and
δj(r)(s;ρ) are approximate as follows:
Lemma 2.7**.**
For any j,r∈Z≥0 and s∈C:∣t∣≫1 we have
[TABLE]
The function δj(r)(s;(λ1λ1⋯λqλq)−dF2∣t∣−1) equals the right hand side of (2.13).
Proof.
Since ∣w∣≪∣t∣ for w∈F, from Lemma 2.6 we can obtain a desired formula in the case of j∈Z≥2:
[TABLE]
Using Cauchy’s residue theorem we have γ0(r)(s,ρ)=(χF(r)/χF)(1−s) and
[TABLE]
where we used ∣t∣e2πisgn(t)=it. It is clear that
[TABLE]
Stirling’s formula Γ(s)=2πss−1/2e−s(1+O(∣s∣−1)) and the trivial approximation λjs+μj=iλjt(1+O(∣t∣−1)) give that
[TABLE]
Combining (2.14)–(2.16) and using Lemma 2.4 we obtain
[TABLE]
By the same discussion, the approximate formula of δj(r)(s;1/((λ1λ1⋯λqλq)dF2∣t∣)) is also obtained.
∎
Finally, in order to prove Theorem 1.2 from Theorem 1.1, we introduce new functions. For φ∈R, α∈R≥0 and ∣t∣≫1 we set
[TABLE]
Then these function have the following properties:
First for s=σ+it:σ∈[0,1],∣t∣≫1, we shall use Cauchy’s integral theorem in the region
[TABLE]
Then from (1.2) and Lemma 2.2 the following lemma is obtained:
Proposition 3.1**.**
For any m∈Z≥0, F∈S, s=σ+it:σ∈[0,1],∣t∣≫1, φ∈R and x∈R>0 we have
[TABLE]
where Gr(s;x,φ) and Hr(s;x,φ) are given by
[TABLE]
respectively. Here (3/2−σ) denotes {3/2−σ+iv∣v∈R}.
Proof.
For r∈{0,1,…,m} and ∣v∣≫∣t∣ let
[TABLE]
First we shall show that the integrand of (3.3) is holomorphic in Dσ∖{0}. From Lemma 2.1, Kφ(w)(Q2/dFxe−iπsgn(t)/2)dFw/2 is holomorphic in Dσ. Since F(m)(w+s) has pole of order pF+m at most at w=1−s, we see that
[TABLE]
is holomorphic in w∈Dσ.
Here we shall consider the holomorphicity of gamma-factor of (3.3). In the case of Reμj>λj/2, since Re(λj(s+w)+μj)≥−λj/2+Reμj>0 for w∈Dσ we see that Aj(s+w)Γ(λj(s+w)+μj)=Γ(λj(s+w)+μj) is holomorphic in Dσ. On the other hand, in the case of Reμj≤λj/2, we have Re(λj(s+w)+μj+[λj/2−Reμj]+1)=1−{λj/2−Reμj}>0 for w∈Dσ. Hence the functional equation for Γ(s) implies that
[TABLE]
is holomorphic in Dσ.
Next we consider the existence of pole for (χF(m−r)/χF)(s+w) in Dσ. In the case of Reμj>λj/2, since
[TABLE]
for n∈Z≥0, we see that (χF(m−r)/χF)(s+w) does not have pole in Dσ. On the other hand, in the case of Reμj≤λj/2, since
[TABLE]
from Lemma 2.4 the points w=−s−(μj+n)/λj,1−s+(μj+n)/λj for n∈Z≥0∩Z≤[λj/2−Reμj]
are pole of order (m−r) for (χF(m−r)/χF)(s+w) in Dσ. Therefore
[TABLE]
is holomorphic in Dσ. Combining (3.4)–(3.6) we find that the integrand of (3.2) is holomorphic w∈Dσ∖{0}.
Next we shall show Ir(v)→0 when v→∞. Trivial estimate gives
[TABLE]
where fF=2∑j=1qmax{0,[λj/2−Reμj]}.
To obtain an estimate of F(r)(s+w) in w∈Dσ, we shall consider estimates of χF(s) and (χF(r)/χF)(s). By the same method of (2.16) and it=∣t∣ei2πsgn(t), we have
[TABLE]
where θj(t)=2λj+sgn(t)⋅(−λj−2Reμj+1)π/2−log(λj∣t∣)2(λj+Imμj). Hence we obtain
[TABLE]
where θF(t)=dF+sgn(t)⋅(−dF/2−eF+q)π/2−log(CF′∣t∣dF+eF) and CF′=(Q∏j=1qλjλj+Imμj)2. Combining (1.2), (3.9) and Lemma 2.4 we have
[TABLE]
for s∈C:σ∈R<0,∣t∣≫1. Phragmén-Lindelöf theorem implies
[TABLE]
uniformly for u∈[−1/2−σ,3/2−σ]. By (3.7), (3.10), Lemmas 2.4, 2.6 we get
[TABLE]
when ∣v∣≫∣t∣. Choosing l∈Z>MF we find that Ir(v)→0 when v→∞, where MF=3dF/4+(eF−q)/2+2(pF+m)+(m+1)fF. Cauchy’s integral theorem gives
[TABLE]
Here the first term of right-hand side of (3.11) is
By replacing w↦−w and using this formula, (2.1) and gF(1−s)=gF(s), the second term of right-hand side of (3.11) is
[TABLE]
Therefore, from (3.11) and (3.13) Proposition 3.1 is obtained.
∎
Next applying residue theorem to the functions Gr(s;x,φ) and Hr(s;x,φ), then these functions are approximated as follows:
Proposition 3.2**.**
For any F∈S, m∈Z≥0, r∈{0,…,m}, s=σ+it:σ∈[0,1],∣t∣≫1, φ∈R, l∈Z>MF and x,y∈R>0:CF(x∣t∣)2dF=y, we have
[TABLE]
where MF is some positive constant, and γj,r(s;ρ), δj,r(s;ρ) are given by (1.5), (1.6) respectively.
Proof.
In order to show (3.14), we use (2.2) and write F(r)(s)=(∑n≤ρy+∑n>ρy)××aF(n)(−logn)rn−s for Res>1 and ρ∈R>0. Then
[TABLE]
where I1,I2 are given by
[TABLE]
To approximate I1 and I2, we define L±j, Cj (j=1,2) as
[TABLE]
respectively, where σ1=−1/2−σ and σ2=3/2−σ. The residue theorem gives
[TABLE]
where I1′,I2′ are (3.17) replaced by L−1+C1+L+1, L−2+C2+L+2 respectively, and Res(I1,F) is the sum of residue for the integrand of (3.17) in F. Here by using the result
[TABLE]
for μ∈R≥0 (see p.337 of [4]) and the residue theorem, Res(I1,F) is written as
[TABLE]
Next we shall estimate I1′ and I2′ as the error term of approximate functional equation. Partial summation and the assumption (1.1) give
[TABLE]
for Re(s+w)≤−1/2 and
[TABLE]
for Re(s+w)≥3/2. From Lemma 2.4 and 2.6 we get the following estimate:
[TABLE]
Trivial estimate gives
[TABLE]
Hence by combining (3.21)–(3.24), I1′ is estimated as
[TABLE]
under the condition CF(x∣t∣)2dF=y, where the following estimate was used:
[TABLE]
Since 1≪1+∣t+v∣≪∣t∣ when v∈[−2∣t∣,−∣t∣/2]∪[∣t∣/2,2∣t∣] and
[TABLE]
Jj (j=1,2,3) were estimated as
[TABLE]
where l was chosen as l∈Z≥2max{0,dF−MF}. By the same discussion of estimate of I1′, the estimate of I2′ is obtained:
[TABLE]
Therefore combining (3.16)–(3.20), (3.25)–(3.26) we obtain (3.14). Since we can obtain (3.15) from the same discussion in the above, Proposition 3.2 is showed.
∎
Finally, for any x∈R>0 we choose parameters y1,y2∈R>0 such that CF(x∣t∣)2dF=y1 and CF(x−1∣t∣)2dF=y2, that is, y1y2=CF∣t∣dF. By combining Propositions 3.1, 3.2 and using (3.9), F(m)(s) is approximated as
[TABLE]
Using Lemma 2.7 and dividing sums of j∈Z≥0 to term of j=0 and sum of j∈Z≥1, we complete proof of Theorem 1.1.
In order to prove Theorem 1.2 from the approximate functional equation containing characteristic functions, we use Lemma 2.8. For any functions X:[0,∞)→R, we define MX(s) to
[TABLE]
Replacing φ↦φα(α∈R≥0) in Theorem 1.1 we can write
[TABLE]
Here Mξ(s) and Mφα−ξ(s)+Rφα(s) are written as
[TABLE]
and
[TABLE]
respectively, where E(s), S0(ρ) and Tr(ρ) are given by
[TABLE]
Since S0(ρ)=0 and Tm−r(ρ)=0 for ρ∈[0,(1+∣t∣−α)−1]∪[1+∣t∣−α,∞) by Lemmas 2.7 and 2.8, we have
[TABLE]
for any α∈R≥0, and
[TABLE]
for ρ∈[(1+∣t∣−α)−1,1+∣t∣−α] under the condition α∈[0,1/2]. Now we choose α=1/2−ε and l∈Z≥1/(2ε). By the condition (d) of Selberg class and the estimates
(3.9), (4.3)–(4.5) and (1+∣t∣−α)y1−(1+∣t∣−α)−1y1≤2∣t∣−αy1, Mφα−ξ(s)+Rφα(s) is estimated as
[TABLE]
Hence combining (4.1), (4.2) and (4.6) we complete the proof of Theorem 1.2.
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