ASYMPTOTIC ESTIMATES FOR APOSTOL-BERNOULLI AND APOSTOL-EULER POLYNOMIALS LUIS M. NAVAS, FRANCISCO J. RUIZ, AND JUAN L. VARONA Abstract. WeanalyzetheasymptoticbehavioroftheApostol-Bernoulli polynomialsB (x;λ)indetail. ThestartingpointistheirFourierseries n on [0,1] which, it is shown, remains valid as an asymptotic expansion over compact subsets of the complex plane. This is used to determine explicit estimates on the constants in the approximation, and also to analyze oscillatory phenomena which arise in certain cases. TheseresultsaretransferredtotheApostol-EulerpolynomialsE (x;λ) n viaasimplerelationlinkingthemtotheApostol-Bernoullipolynomials. 1. Introduction The family of Apostol-Bernoulli polynomials B (x;λ) in the variable x n and parameter λ ∈ C were introduced by Apostol in [1], where they are defined by means of the power series expansion at 0 of the meromorphic generating function def zexz (cid:88)∞ zn (1) g(x,λ,z) = = B (x;λ) . λez −1 n n! n=0 The set S of poles of g is {2πin−logλ : n ∈ Z} when λ (cid:54)= 1 and {2πin : n ∈ Z,n (cid:54)= 0} when λ = 1, due to the fact that 0 is a removable singularity in the latter case. Here and throughout this paper, log is the principal branch of the logarithm; namely, for λ (cid:54)= 0, logλ = log|λ|+iargλ, with −π < argλ ≤ π; in particular log1 = 0. This change in the set of poles is reflected in various discontinuities as λ → 1; for example, the radius of convergence of the series in (1) is 2π when λ = 1 and |logλ| when λ (cid:54)= 1. The value λ = 1 corresponds to the classical Bernoulli polynomials, i.e. B (x;1) = B (x),butitiscertainlynotthecasethatB (x) = lim B (x;λ). n n n λ→1 n There is a limiting relationship between B (x;λ) and B (x) as λ → 1, but n n it is not immediately obvious. Another aspect of this discontinuity is that, although B (x) is monic of degree n, for λ (cid:54)= 1 the degree of B (x;λ) is n n n−1 and its leading term is n/(λ−1). We follow the convention of denoting B (λ) = B (0;λ); these are the n n Apostol-Bernoulli numbers. In fact, B (λ) is a rational function in λ with n denominator(λ−1)n+1 andcoefficientsrelatedtotheStirlingnumbers. The THISPAPERHASBEENPUBLISHEDIN:MathematicsofComputation,Volume81, Number 279, July 2012, Pages 1707–1722. 2010 Mathematics Subject Classification. Primary 11B68; Secondary 42A10, 41A60. Key words and phrases. Apostol-Bernoulli polynomials, Apostol-Euler polynomials, Fourier series, asymptotic estimates. ResearchofthesecondandthirdauthorssupportedbygrantMTM2009-12740-C03-03 of the DGI. 1 2 L.M.NAVAS,F.J.RUIZ,ANDJ.L.VARONA classical Bernoulli numbers are given by B = B (1). The above remarks n n concerning the discontinuity at λ = 1 also apply here. The case λ = 0 is trivial; indeed B (x;0) = 0 and B (x;0) = −nxn−1 for 0 n n ≥ 1. In particular B (0) = −1 and B (0) = 0 for n (cid:54)= 1. For this reason 1 n we will assume λ (cid:54)= 0 in what follows. Dilcher showed in [3], using properties of the Riemann zeta function, that the Bernoulli polynomials satisfy (−1)n−1(2π)2n lim B (z) = cos(2πz), 2n n→∞ 2(2n)! (2) (−1)n−1(2π)2n+1 lim B (z) = sin(2πz), 2n+1 n→∞ 2(2n+1)! uniformly on compact subsets of C. In addition, the difference between the nth term and its limit is found to be of the order O(2−n), with the implicit constant depending exponentially on |z|. The authors showed in [5] how these facts also follow easily, at least on [0,1], from the Fourier expansion of the Bernoulli polynomials, including the quantitative bounds for the differ- ences, and also precise estimates on the rate of convergence, namely bounds for the successive quotients of these differences. The purpose of this article is to obtain analogous asymptotic estimates for B (z;λ), valid for any z ∈ C. In short, the central result of this paper n is that the Fourier series (4) of B (x;λ) for x ∈ [0,1], which a priori repre- n sents it only on this interval, is actually valid on the entire complex plane as an asymptotic series representing B (z;λ) for z ∈ C. From this we deduce n explicit asymptotic estimates for the Apostol-Bernoulli polynomials which include the pattern mentioned above, namely, geometric order of decrease forthedifferencesbetweenB (z;λ)anditsasymptoticapproximations,with n implicit constants that are exponential in |z|, as well as estimates for suc- cesive quotients of these differences. The behavior of the approximations varies considerably depending on λ, with λ = 1, studied in [5], turning out to be the exception rather than the rule. Many authors, beginning with Apostol in the foundational paper [1], use transcendental methods when studying the Apostol-Bernoulli polynomials, due to their relation with the Lerch transcendent Φ, defined by analytic continuation of the series (cid:88)∞ λk Φ(λ,s,a) = , (k+a)s k=0 where a (cid:54)= 0,−1,−2,... and either |λ| < 1,s ∈ C or |λ| = 1,Res > 1 guaranteesconvergence(weuseλasavariableinordertomaintainaunified notation). One has (3) B (a;λ) = −nΦ(λ,1−n,a) n on various domains of analytic continuation, and this relation is often ex- ploited to obtain identities satisfied by B as special cases of identities satis- n fiedbyΦ. TheFourierseriesofB (x;λ)isaninstanceofthis(seeSection2). n While certainly not denying the great merit of this approach, it can be overkill, adding unnecessary effort to the study of what is, after all, a poly- nomial family. In this paper we wish to bring to light that the algebraic ESTIMATES FOR APOSTOL-BERNOULLI AND APOSTOL-EULER POLYNOMIALS 3 properties of the Apostol-Bernoulli polynomials and basic Fourier analysis can get us equally far in describing their asymptotic behavior. We feel this is interesting in its own right, more so as the algebraic properties involved are precisely those of the so-called “umbral” variety and hence the method probably works in a wider context. For instance, this point of view yields an overlooked elementary proof of the Fourier expansion (4) itself. The same methods used to study the Apostol-Bernoulli polynomials may alsobeappliedtotheApostol-EulerpolynomialsE (x;λ)introducedbyLuo n and Srivastava (see [6, 8]). In Section 8, using a relation which apparently has not been previously remarked on in the literature (see Lemma 2), we will show that the analogous results for E are consequences of those for B ; n n henceweconcentrateonthelatterandsummarizetheresultsfortheformer. 2. The Fourier series of B (x;λ) n In [7, Theorem 2.1,p. 3], it is proved that the Fourier series of B (x;λ) n for any λ ∈ C with λ (cid:54)= 0 is n! (cid:88) e2πikx (4) B (x;λ) = −δ (x;λ)− , n n λx (2πik−logλ)n k∈Z\{0} (−1)nn! where δ (x;λ) = 0 or according as λ = 1 or λ (cid:54)= 1. This expansion n λxlognλ is valid for 0 ≤ x ≤ 1 when n ≥ 2 and for 0 < x < 1 when n = 1. It yields the Fourier series of the Bernoulli polynomials, due to Hurwitz (1890), as the special case λ = 1. The expansion (4) is proved from scratch in [7] starting from the gen- erating function (1) and applying the Lipschitz summation formula (which can be derived in turn from the Poisson summation formula). It may also be obtained immediately via the relation (3) to the Lerch transcendent by specializing the following series expansion for Φ, that can be found in [4, formula 1.11(6), p. 28]: (cid:88) (5) Φ(λ,s,x) = λ−xΓ(1−s) (2πik−logλ)s−1e2πikx, k∈Z for 0 < x ≤ 1, Res < 0, λ ∈/ (−∞,0]. As we have mentioned in the introduction, our approach does not require the use of the Lerch transcendent. In this vein, we present an elementary proof of (4), using only the algebraic properties of the Apostol-Bernoulli polynomials and the real Riemann integral. The main ingredient is the fact that {B (x;λ)} is an Appell sequence for fixed λ; namely, it satisfies the n derivative relation (6) B(cid:48) (x;λ) = nB (x;λ), n n−1 as can be easily deduced from the form of the generating function (1). One merely needs to observe that (4) is equivalent to finding the Fourier coeffi- cients of x (cid:55)→ λxB (x;λ) for fixed λ. n Proposition 1. For any λ ∈ C, λ (cid:54)= 0,1, k ∈ Z and n ∈ N, we have (cid:90) 1 n! (7) λxB (x;λ)e−2πikxdx = − . n (2πik−logλ)n 0 4 L.M.NAVAS,F.J.RUIZ,ANDJ.L.VARONA Proof. Fixing k, we use induction on n. One easily checks the case n = 1, noting that B (x;λ) = 1/(λ−1). Let n ≥ 2. Assuming (7) is true for n−1, 1 integrate it by parts, using the derivative formula (6) to obtain (cid:90) 1 n! λxB (x;λ)e−2πikxdx = λB (1;λ)−B (0;λ)− . n n n (2πik−logλ)n 0 The proof is concluded by checking that λB (1;λ) = B (0;λ) for n ≥ 2. n n This follows from (1) noting that λg(1,λ,z) − g(0,λ,z) = z (see also [1, formula 3.5,p. 165]). (cid:3) Remark 1. By uniqueness of the Fourier series, (7) could be used to define the Apostol-Bernoulli polynomials, instead of using the generating func- tion (1). Indeed, it is not hard to work “backwards” to deduce (1) from (7) and also to prove the basic algebraic and differential properties satisfied by the family directly from the Fourier series, thus providing an alternative approach to the theory. This applies also in particular to the Bernoulli and Euler polynomials. For our purposes, it is useful to rewrite (4) in the alternative form 1 (cid:88) eax (8) B (x;λ) = − , n! n an a∈S where S is the set of poles of the generating function g(x,λ,z), namely (cid:40) Z if λ (cid:54)= 1, (9) S = {a : k ∈ Z}, a = 2πik−logλ, Z = k k Z\{0} if λ = 1. Notethatthederivativerelation(6)isimmediatefrom(8)bydifferentiating term by term. This representation also suggests a proof of (8) from (1) via the calculus of residues. Indeed, a−neax = Res(z−(n+1)g(x,λ,z),a) for a ∈ S. The left hand side of (8) is by definition the coefficient of zn in the power series expansionofg around0, soitisequaltoRes(z−(n+1)g(x,λ,z),0). Hence(8) is equivalent to (cid:80) Res(z−(n+1)g(x,λ,z),a) = 0, which can be proved by a∈C showing that the integral (cid:72) z−(n+1)g(x,λ,z)dz tends to 0 over a suitable CN increasing sequence of circles C . N This is essentially the proof in [4, Section 1.11] of the Fourier expansion of the Lerch transcendent (5). The recent paper [2] applies this method to obtain the Fourier series of the Apostol-Bernoulli, Apostol-Euler, and also the Apostol-Genocchi polynomials. Even though it uses no more than basic complex analysis, all things considered, after filling in all the details (for example, the case n = 1 must be estimated separately from n ≥ 2), the proof of Proposition 1 given above is simpler. Nevertheless, the form (8) of the Fourier expansion is particularly well-suited for studying asymptotic approximations to B (z;λ). n 3. Approximations to B (λ) n Toobtainapproximationresultsfrom(8)weneedtoorderthesetofpoles S of the generating function (1) by order of magnitude. Lemma 1. Let a = 2πik−logλ with k ∈ Z, λ ∈ C, λ (cid:54)= 0. k ESTIMATES FOR APOSTOL-BERNOULLI AND APOSTOL-EULER POLYNOMIALS 5 (a) If Imλ > 0, then for k ≥ 1, we have 0 < |a | < |a | < |a | < ··· < |a | < |a | < ··· 0 1 −1 k −k (b) If Imλ < 0, then for k ≥ 1, we have 0 < |a | < |a | < |a | < ··· < |a | < |a | < ··· 0 −1 1 −k k (c) If λ > 0, then for k ≥ 1, we have |a | < |a | = |a | < ··· < |a | = |a | < ··· 0 1 −1 k −k (note that a = 0 if and only if λ = 1, in which case it is not a pole, 0 hence is excluded in this chain). (d) If λ < 0, then for k ≥ 0, we have 0 < |a | = |a | < |a | = |a | < ··· < |a | = |a | < ··· 0 1 −1 2 −k k+1 In addition, |a | ≥ 2π(|k|− 1) if |k| ≥ 1. k 2 Proof. Let ξ = logλ so that a = 2πi(k − ξ). Since we use the principal 2πi k branch of the logarithm, this maps λ ∈ C\{0} to the strip −1 < Reξ ≤ 1, 2 2 with λ > 0 corresponding to Reξ = 0 and λ < 0 to Reξ = 1. Since 2 |a | = 2π|k−ξ|,theabovechainsarereadilyverifiedbyconsidering|x−ξ|2 = k (x − Reξ)2 + (Imξ)2 for real x. For k ∈ Z, |k| ≥ 1, we have |k − ξ| ≥ |k−Reξ| ≥ |k|− 1 and hence |a | ≥ 2π(|k|− 1). (cid:3) 2 k 2 By definition, in an asymptotic expansion, the n + 1st term should be infinitesimal with respect to the nth term. Thus we have to consider par- tial sums of the Fourier series along the chains detailed in Lemma 1 which truncate the chain at a link where there is strict inequality. In other words, we consider only those finite subsets of poles F ⊆ S satisfying def max{|a| : a ∈ F} < min{|a| : a ∈ S \F} = µ. Saying that (8) gives an asymptotic expansion means that the remaining tail is of the order of µ−n. Let us establish some notation. As in (9), we let Z = Z if λ (cid:54)= 1 and Z = Z\{0} if λ = 1. Letting a = 2πik−logλ, we define k Z = {k ∈ Z : |k| ≤ m}, F = {a : k ∈ Z }, m m k m (10) Z+ = {k ∈ Z : |k| ≤ m}∪{m+1}, F+ = {a : k ∈ Z+}, m m k m Z− = {k ∈ Z : |k| ≤ m}∪{−(m+1)}, F− = {a : k ∈ Z−} m m k m for an integer m ≥ 0, noting that for λ = 1, Z is empty. In accordance 0 with Lemma 1, we have the following possible choices for F, along with the corresponding value(s) of µ = min{|a| : a ∈ S \F}: (11) F ,F+, |a |,|a |, if Imλ > 0, m m m+1 −(m+1) F ,F−, |a |,|a |, if Imλ < 0, F = m m µ = −(m+1) m+1 F , |a |, if λ > 0 (m > 0 if λ = 1), m m+1 F+, |a |, if λ < 0. m −(m+1) Note that µ = |a | ≥ 2π(m+ 1) ≥ π in each of these cases. ±(m+1) 2 We begin our study of (8) by proving that it gives an asymptotic expan- sion for the Apostol-Bernoulli numbers B (0;λ) = B (λ). n n 6 L.M.NAVAS,F.J.RUIZ,ANDJ.L.VARONA Proposition 2. Given λ ∈ C, λ (cid:54)= 0, let F be a finite subset of the set of poles S of the generating function (1) of B (x;λ) satisfying n max{|a| : a ∈ F} < min{|a| : a ∈ S \F} = µ. For all integers n ≥ 2, we have (12) Bn(λ) = −(cid:88) 1 +O(µ−n), n! an a∈F where the constant implicit in the order term depends only on λ and F. Inthissensethen,usingtheappropriateapproximatingsumsoverthesets F, the Fourier series (8) of B (x;λ) at x = 0 is an asymptotic expansion for n the Apostol-Bernoulli numbers as n → ∞. Proof. Relabel the set of poles in increasing order of magnitude as |α | ≤ 0 |α | ≤ ··· ≤ |α | ≤ ···. The estimate |a | ≥ 2π(|k|− 1) from Lemma 1 1 M k 2 shows that (cid:80) α−n is absolutely convergent for n ≥ 2. For any M ≥ 0, we k k have (cid:88)∞ 1 1 (cid:88)∞ (cid:12)(cid:12)αM+1(cid:12)(cid:12)n = (cid:12) (cid:12) |α |n |α |n (cid:12) α (cid:12) k M+1 k k=M+1 k=M+1 1 (cid:88)∞ (cid:12)(cid:12)αM+1(cid:12)(cid:12)2 cM,λ ≤ (cid:12) (cid:12) = , |α |n (cid:12) α (cid:12) |α |n M+1 k M+1 k=M+1 where c is a constant depending only on M and λ. This applies to any M,λ tail, in particular to the tail S \F. (cid:3) Remark 2. We can say more about the constant in the above proof by considering the Hurwitz zeta function for real values of the parameters. For example, for F = F = {k ∈ Z : |k| ≤ m} (excluding 0 if λ = 1) and m Imλ > 0, for which the next pole in order of magnitude is |a |, if we m+1 denote the constant by c and let ξ = logλ, we have, by Lemma 1, m,λ 2πi ∞ ∞ (cid:88) 1 (cid:88) 1 c = |α |2 = |m+1−ξ|2 m,λ m+1 |a |2 |k−ξ|2 k |k|≥m+1 |k|≥m+1 ∞ (cid:88) 1 ≤ |m+1−ξ|2 = 2|m+1−ξ|2ζ(2,m+ 1). (cid:0)|k|− 1(cid:1)2 2 |k|≥m+1 2 Simply comparing the sum ζ(σ,q) = (cid:80)∞ (k+q)−σ for σ > 1, q > 0 with k=0 the corresponding integral yields (cid:18) (cid:19) q ζ(σ,q) < 1+ q−σ, σ−1 which applied to the above estimate for c gives m,λ (cid:32) (cid:33) m+ 1 1 c ≤ 2|m+1−ξ|2 1+ 2 . m,λ n−1 (cid:0)m+ 1(cid:1)2 2 Sincelim (m+1−ξ)/(m+1) = 1,thisshowsthatforfixedmandn (cid:29) 0, m→∞ 2 c isboundedindependentofmandwecanthenreplaceitwithaconstant m,λ c depending only on λ. Thus the tail can be estimated by c |a |−n for λ λ m+1 ESTIMATES FOR APOSTOL-BERNOULLI AND APOSTOL-EULER POLYNOMIALS 7 fixed m and n (cid:29) 0. In general, for any n ≥ 2, we still have an estimate of the form c |m + 1 − ξ| and hence the tail can always be estimated by λ c |a |−(n−1). λ m+1 4. Approximations to B (z;λ) on the complex plane n We now come to the central result of this paper, that the Fourier series (8) of B (x;λ) for x ∈ [0,1] extends to the complex plane as an asymptotic n expansion for B (z;λ) given z ∈ C. We state this in a more precise form, n since we also obtain information on the implicit constants in the asymptotic approximation. Theorem 3. Given λ ∈ C, λ (cid:54)= 0, let F be a finite subset of the set of poles S of the generating function (1) of B (x;λ) satisfying n def max{|a| : a ∈ F} < min{|a| : a ∈ S \F} = µ. For all integers n ≥ 2, we have, uniformly for z in a compact subset K of C, (cid:32) (cid:33) Bn(z;λ) (cid:88) eaz eµ|z| (13) = − +O , n! an µn a∈F where the constant implicit in the order term depends on λ,F and K. In fact, for n (cid:29) 0, the order constant may be taken equal to the value of the constant for the Apostol-Bernoulli numbers, corresponding to z = 0, thus eliminating its dependence on K (how large n has to be of course still depends on the compact set K). Proof. We will use Proposition 2, which is the case z = 0, and the “binomial formula” n (cid:18) (cid:19) (cid:88) n (14) B (x+y;λ) = B (x;λ)yk n n−k k k=0 which may be proved directly from the generating function (1) or from the derivative relation (6). It is well-known that for a given polynomial family, in fact (14) is equivalent to (6) (for fixed x, (14) is the Taylor expansion of B (x+y;λ) in powers of y). Both serve to define the notion of an Appell n sequence. For z ∈ C, writing z = z+0, (14) and Proposition 2 yield Bn(z;λ) = (cid:88)n Bn−k(λ) zk = (cid:88)n (cid:32)−(cid:88) 1 +O(µ−n+k)(cid:33) zk n! (n−k)! k! an−k k! k=0 k=0 a∈F (cid:88)(cid:88)n 1 zk (cid:88)n zk = − + O(µ−n+k) , an−k k! k! a∈F k=0 k=0 where the implicit constant c is that corresponding to z = 0 and only de- pends on F,λ. Now, consider the partial sums and tails of the exponential series, (cid:88)n wk (cid:88)∞ wk e (w) = , e∗(w) = ew −e (w) = . n k! n n k! k=0 k=n+1 8 L.M.NAVAS,F.J.RUIZ,ANDJ.L.VARONA The first summand above is −(cid:88) en(az) = −(cid:88) eaz +(cid:88) e∗n(az). an an an a∈F a∈F a∈F To prove the theorem, we need to show that the resulting extra terms have the correct order of magnitude. Indeed, (cid:12) (cid:12) (cid:12)(cid:88)n zk(cid:12) (cid:88)n |z|k (cid:88)n (µ|z)|k (cid:12) O(µ−n+k) (cid:12) ≤ c µ−n+k = cµ−n ≤ cµ−neµ|z|. (cid:12) k!(cid:12) k! k! (cid:12) (cid:12) k=0 k=0 k=0 The tails of the exponential series may be estimated using the complex version of the Lagrange remainder for Taylor series (which is actually an upper bound for the modulus rather than an equality as in the real case): |w|n+1 |e∗(w)| ≤ eRe+(w) , Re+(w) = max{Re(w),0}. n (n+1)! Since |a| < µ for all a ∈ F, we have (cid:12)(cid:12)(cid:12)e∗n(az)(cid:12)(cid:12)(cid:12) ≤ |a|e|az| |z|n+1 < µeµ|z| |z|n+1 (cid:12) an (cid:12) (n+1)! (n+1)! so that (cid:12) (cid:12) (cid:12)(cid:88) e∗(az)(cid:12) |z|n+1 (cid:12) n (cid:12) ≤ #Fµeµ|z| (cid:12) an (cid:12) (n+1)! (cid:12) (cid:12) a∈F (here #F denotes the number of elements in F) and the latter term is less than ceµ|z|µ−n when (µ|z|)n+1 #F < c, (n+1)! a condition which certainly holds for n (cid:29) 0, uniformly for z in a compact subset K ⊆ C. In general, since this sequence is bounded, for any n ≥ 2 we obtain a constant independent of n, depending on λ,F,K. (cid:3) Remark 3. Since the point is that we get an asymptotic series in n, the eµ|z| term could be absorbed into the constant in the order term, but doing this hides the numerical behavior of the approximation. Indeed, it is quickly apparent in computation that, even for rather small values of |z|, the rapid growth of this factor offsets the action of µ−n until n is quite large. Example 1 (Bernoulli polynomials). As a special case of the theorem, we deriveDilcher’sresultsin[3]fortheapproximationofBernoullipolynomials. Corollary 4. The Bernoulli polynomials satisfy, uniformly on a compact subset K of C, the estimates (cid:32) (cid:33) (−1)n−1(2π)2n e4π|z| B (z) = cos(2πz)+O , 2(2n)! 2n 2n (15) (cid:32) (cid:33) (−1)n−1(2π)2n+1 e4π|z| B (z) = sin(2πz)+O , 2(2n+1)! 2n+1 2n where the implicit constant depends on K. Moreover, for n (cid:29) 0 this con- stant can be made independent of K, equal to the constant for the Bernoulli numbers, corresponding to the case z = 0. ESTIMATES FOR APOSTOL-BERNOULLI AND APOSTOL-EULER POLYNOMIALS 9 Proof. The Bernoulli case corresponds to λ = 1, where ξ = logλ = 0 and 2πi the set of poles is S = {2πik : k ∈ Z,k (cid:54)= 0}. Hence Theorem 3, after multiplying by (2πi)n, states that (cid:32) (cid:33) (2πi)nBn(z) (cid:88) e2πikz e2π(m+1)|z| (16) = − +O . n! kn (m+1)n 0<|k|≤m The result stated above is the case m = 1. (cid:3) 5. Asymptotic behavior of B (z;λ) n From now on, assume λ (cid:54)= 1. Then the pole set S = {a = 2πik−logλ : k k ∈ Z} contains a = −logλ and hence the series (13) begins with the term 0 −ea0za−n = (−1)n−1λ−zlognλ. It makes sense to normalize the series by 0 considering the modified expression lognλ (17) β (z;λ) = (−1)n−1 λzB (z;λ). n n n! Now (4) becomes (cid:88) e2πikx 2πi (18) β (x;λ) = , x ∈ [0,1], Λ = . n (1−Λk)n logλ k∈Z It is straightforward to check that the transformation Λ = 2πi maps the logλ region C\((−∞,0]∪{1}) to the region {Λ ∈ C : |Λ−1| > 1,|Λ+1| > 1} which is the exterior of the “figure eight” formed by the union of the two closed disks |Λ ± 1| ≤ 1, tangent at 0. The negative real axis (−∞,0) is mapped to the circumference |Λ−1| = 1 minus Λ = 0. Since |1−kΛ| = |1−kξ−1| = |ξ−1||k −ξ|, where ξ = logλ, the ordering of the terms is the 2πi same as in Lemma 1. The asymptotic approximation (13) changes accordingly. Proposition 5. Let λ ∈ C, λ (cid:54)= 0,1. For any integer m ≥ 0 we have, for z in a compact subset K of C, (19) (cid:32) (cid:33) lognλ (cid:88) e2πikz e(2|logλ|+2π(m+1))|z| (−1)n−1 λzB (z;λ) = +O . n! n (cid:0)1− 2πik(cid:1)n (cid:12)(cid:12)1± 2πi(m+1)(cid:12)(cid:12)n k∈Im logλ (cid:12) logλ (cid:12) The constant implicit in the order term depends on λ,m and K. For n (cid:29) 0 it can be taken equal to the constant for the case z = 0, thus making it independent of K. Here I = Z or Z± are as in (10), with the signs m m m chosen according to (11). Proof. Itisstraightforwardtocheckthatthegeneralterminthesumchanges to the expression above, and the order term gets multiplied by |λzlognλ|. Estimating |λz| ≤ e|zlogλ| and µ = |a | ≤ 2π(m+1)+|logλ| gives the ±(m+1) order term. (cid:3) Remark 4. If we don’t incorporate the term λz into the definition (17) of β n above, we can drop the “2” from |logλ| inside the O term. 10 L.M.NAVAS,F.J.RUIZ,ANDJ.L.VARONA Corollary 6. For λ ∈ C, λ (cid:54)= 0,1 and λ ∈/ (−∞,0), we have, for z in a compact subset K of C, lognλ e(2|logλ|+2π)|z| (−1)n−1 n! λzBn(z;λ) = 1+Omin(cid:12)(cid:12)1± 2πi (cid:12)(cid:12)n. (cid:12) logλ(cid:12) The constant implicit in the order term depends on λ and K. However, for n (cid:29) 0 it can be taken equal to the constant when z = 0. In particular lognλ lim (−1)n−1 B (z;λ) = λ−z n n→∞ n! uniformly on compact subsets of C. Proof. This is the case m = 0 above, with the choice of I = Z = {0}. (cid:3) 0 0 6. Oscillatory phenomena Whenλ ∈ R,λ (cid:54)= 0,Lemma1showsthattherearepolesofequalmodulus, which must be grouped in pairs in the asymptotic approximation. These pairs are indexed differently depending on the sign of λ, but their behavior turns out to be the same. For λ > 0, equal moduli poles correspond to pairs of integers ±k with k ≥ 1, and are conjugate: a = 2πik−logλ, a = −2πik−logλ = a . k −k k Writing the poles in polar form, ak = ρke2πiαk with ρk = |ak| > 0 and α ∈ [0,1], this pair contributes to the asymptotic expansion (13) with k eakz eakz (cid:16) (cid:17) + = λ−zρ−n e2πikze−2πinαk +e−2πikze2πinαk . an a n k k k This simplifies to (20) 2λ−zρ−ncos(2π(kz−nα )). k k Similarly, for λ < 0, equal moduli poles correspond to pairs of integers {−k,k+1} with k ≥ 0. It is easy to see that these are also conjugate: a = −2πik−logλ = −(2k+1)πi−log(−λ), −k a = 2πi(k+1)−logλ = (2k+1)πi−log(−λ) k+1 and hence, now writing ak+1 = ρke2πiαk with ρk = |ak+1| > 0 and αk ∈ [0,1], the same reasoning shows that this pair contributes to the asymptotic expansion with (21) 2(−λ)−zρ−ncos(π((2k+1)z−2nα )). k k Thesetermscannotvanishunlessz ∈ R,inwhichcasewewillwritez = x. When this is the case, having fixed k and x, the way that the expressions in (20)and(21)varywithndependsonthebehaviorofthesequenceskx−nα k and (2k+1)x−2nα modulo 1, or equivalently, their fractional parts. k The study of the fractional parts of β−nα where α,β ∈ R are fixed and n varies is the problem of real inhomogeneous Diophantine approximation. This is a difficult problem with an extensive literature and important ram- ifications. Its origins lie in Kronecker’s Theorem, which states that if α is
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