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MATHEMATICS INAUGURAL ARTICLE d,n Theorem 1. If d ≥ 1, then Jγ (X ) is hyperbolic for all sufficiently large n. An effective proof of Theorem 1 for small d gives the following theorem.
d,n Theorem 2. If 1 ≤ d ≤ 8, then Jγ (X ) is hyperbolic for every n ≥ 0. Theorem 1 follows from a general phenomenon that Jensen polynomials for a wide class of sequences α can be modeled by the Hermite polynomials Hd (X ), which we define (in a somewhat nonstandard normalization) as the orthogonal polynomials for the 2 measure µ(X ) = e−X /4 or more explicitly by the generating function
∞ d 2 3 X t −t2+Xt 2 t 3 t H (X ) = e = 1 + X t + (X − 2) + (X − 6X ) + ··· . [3] d d! 2! 3! d=0
More precisely, we will prove the following general theorem describing the limiting behavior of Jensen polynomials of sequences with appropriate growth.
Theorem 3. Let {α(n)}, {A(n)}, and {δ(n)} be three sequences of positive real numbers with δ(n) tending to zero and satisfying
α(n + j ) log = A(n)j − δ(n)2j 2 + o δ(n)d as n → ∞, [4] α(n)
for some integer d ≥ 1 and all 0 ≤ j ≤ d. Then, we have
−d δ(n) d,n δ(n) X − 1 lim Jα = Hd (X ), [5] n→∞ α(n) exp(A(n))
uniformly for X in any compact subset of R. Since the Hermite polynomials have distinct roots, and since this property of a polynomial with real coefficients is invariant under small deformation, we immediately deduce the following corollary.
d,n Corollary 4. The Jensen polynomials Jα (X ) for a sequence α: N → R satisfying the conditions in Theorem 3 are hyperbolic for all but finitely many values n. Theorem 1 is a special case of this corollary. Namely, we shall use Theorem 9 to prove that the Taylor coefficients {γ(n)} satisfy the required growth conditions in Theorem 3 for every d ≥ 2. Theorem 3 in the case of the Riemann zeta function is the derivative aspect Gaussian unitary ensemble (GUE) random matrix model prediction for the zeros of Jensen polynomials. To make this precise, recall that Dyson (8), Montgomery (9), and Odlyzko (10) conjecture that the nontrivial zeros of the Riemann zeta function are distributed like the eigenvalues of random Hermitian matrices. These eigenvalues satisfy Wigner’s Semicircular Law, as do the roots of the Hermite polynomials Hd (X ), when suitably d,0 1 normalized, as d → +∞ (see chapter 3 of ref. 11). The roots of Jγ (X ), as d → +∞, approximate the zeros of Λ 2 + z (see ref. 1 or lemma 2.2 of ref. 12), and so GUE predicts that these roots also obey the Semicircular Law. Since the derivatives of 1 d,n Λ 2 + z are also predicted to satisfy GUE, it is natural to consider the limiting behavior of Jγ (X ) as n → +∞. The work here proves that these derivative aspect limits are the Hermite polynomials Hd (X ), which, as mentioned above, satisfy GUE in degree aspect. Returning to the general case of sequences with suitable growth conditions, Theorem 3 has applications in combinatorics where the hyperbolicity of polynomials determines the log-concavity of enumerative statistics. For example, see the classic theorem by Heilmann and Leib (13), along with works by Chudnovsky and Seymour (14), Haglund (15), Haglund et al. (16), Stanley (17), and Wagner (18), to name a few. Theorem 3 represents a criterion for establishing the hyperbolicity of polynomials in enumerative combinatorics. The theorem reduces the problem to determining whether suitable asymptotics hold. Here, we were motivated by a conjecture of Chen, d,n Jia, and Wang concerning the Jensen polynomials Jp (X ), where p(n) is the partition function. Nicolas (19) and Desalvo and Pak 2,n 3,n (20) proved that Jp (X ) is hyperbolic for n ≥ 25, and, more recently, Chen et al. proved (21) that Jp (X ) is hyperbolic for n ≥ 94, inspiring them to state as a conjecture the following result.
d,n Theorem 5 (Chen–Jia–Wang Conjecture). For every integer d ≥ 1, there exists an integer N (d) such that Jp (X ) is hyperbolic for n ≥ N (d). Table 1 gives the conjectured minimal value for N (d) for d = 2j with 1 ≤ j ≤ 5. More precisely, for each d ≤ 32 it gives the smallest d,n integer such that Jp (X ) is hyperbolic for N(d) ≤ n ≤ 50,000.
Remark 6: Larson and Wagner (22) have made the proof of Theorem 5 effective by a brute-force implementation of Hermite’s criterion (see theorem C of ref. 3). They showed that the values in the table are correct for d = 4 and d = 5 and that 2 N (d) ≤ (3d)24d (50d)3d in general. The true values are presumably much smaller and are probably of only polynomial growth, the numbers N (d) in the table being approximately of size 10 d 2 log d.
Table 1. Conjectured minimal values of N(d) d 1 2 4 8 16 32 N(d) 1 25 206 1,269 6,917 35,627
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MATHEMATICS INAUGURAL ARTICLE 2, n 3, n Table 3. The polynomials bJp and bJp
2, n 3, n n bJp (X) bJp (X) 100 ≈ 0.9993X2 + 0.0731X − 1.9568 ≈ 0.9981X3 + 0.2072X2 − 5.9270X + 1.1420 200 ≈ 0.9997X2 + 0.0459X − 1.9902 ≈ 0.9993X3 + 0.1284X2 − 5.9262X − 1.4818 300 ≈ 0.9998X2 + 0.0346X − 1.9935 ≈ 0.9996X3 + 0.0965X2 − 5.9497X − 1.3790 400 ≈ 0.9999X2 + 0.0282X − 1.9951 ≈ 0.9998X3 + 0.0786X2 − 5.9621X − 1.2747 ...... 108 ≈ 0.9999X2 + 0.0000X − 1.9999 ≈ 0.9999X3 + 0.0000X2 − 5.9999X − 0.0529
because the inner sum, which is the (d − k)th difference of the polynomial j 7→ j i evaluated at j = 0, vanishes for i < d − k and equals A(n) −t2 (d − k)! for i = d − k. Theorem 8 follows, and Theorem 3 is just the special case E(n) = e and F (t) = e . 3. Proof of Theorem 7 Assume that f is a modular form of (possibly fractional) weight k on SL2(Z) (possibly with multiplier system) and with a pole of (possibly fractional) order m > 0 at infinity and write its Fourier expansion at infinity as in [7]. It is standard, either by the circle method of Hardy–Ramanujan–Rademacher or by using Poincar´e series (for example, see ref. 23), that the Fourier coefficients of f have the asymptotic form √ k−1 √ C 2π mn af (n) = Af n 2 Ik−1(4π mn) + O n e , [9]
as n → ∞ for some nonzero constants Af [an explicit multiple of af (−m)] and C , where Iκ(x) denotes the usual I -Bessel function. In view of the expansion of Bessel functions at infinity, this implies that af (n) has an asymptotic expansion to all orders in 1/n of the form √ 4π mn 2k−3 c1 c2 a (n) ∼ e n 4 exp c + + + ··· , f 0 n n2
for some constants c0, c1, ... depending on f [and in fact only on m and k if we normalize the leading coefficient af (−m) of f to be equal to 1]. This gives an asymptotic expansion
∞ ! i ∞ i−1 i ! i af (n + j ) √ X 1/2 j 2k − 3 X (−1) j X −k j log ∼ 4π m 1 + i + ck i+k , [10] af (n) i i− 2 4 i n i n i=1 n i=1 i,k≥1
p valid to all orders in n, and it follows that the sequence {af (n)} satisfies the hypotheses of Theorem 3 with A(n) = 2π m/n + O(1/n) and δ(n) = (π/2)1/2m1/4n−3/4 + O(n−5/4). Theorem 7 then follows from the corollary to Theorem 3.
(n) 1 4. Asymptotics for Λ ( 2 ) ¶ (n) 1 Previous work of Coffey (6) and Pustyl’nikov (7) offer asymptotics for the derivatives Λ 2 . Here, we follow a slightly different approach and obtain effective asymptotics, a result which is of independent interest. To describe our asymptotic expansion, we first give a formula for these derivatives in terms of an auxiliary function, whose asymptotic expansion we shall then determine. Following Riemann (cf. chapter 8 of ref. 25), we have
Z ∞ Z ∞ s −1 1 s 1−s dt Λ(s) = t 2 θ0(t) dt = + t 2 + t 2 θ0(t) , 0 s(s − 1) 1 t
P∞ −πk2t 1 −1/2 −1/2 where θ0(t) = k=1 e = 2 (t − 1) + t θ0(1/t). It follows that
F (n) Λ(n) 1 = − 2n+2 n! + , [11] 2 2n−1
for n > 0 (both are of course zero for n odd), where F (n) is defined for any real n ≥ 0 by
Z ∞ n −3/4 F (n) = (log t) t θ0(t) dt. [12] 1
In particular, if n is a positive integer, then the Taylor coefficients γ(n) defined in [1] satisfy
! ! 2n n! 2n n! 32 F (2n − 2) − F (2n) γ(n) = · 8 Λ(2n−2) 1 − Λ(2n) 1 = · 2 . [13] (2n)! 2 2 2 (2n)! 22n−1
¶It is interesting to note that Hadamard obtained rough estimates for these derivatives in 1893. His formulas are correctly reprinted on p. 125 of ref. 24.
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MATHEMATICS INAUGURAL ARTICLE Plugging in t = (1 + λ)a immediately gives the asymptotic expansion
Z ∞ Z ∞ −C λ2/2 3 4 f (t) dt = a f (a) e 1 + A3λ + A4λ + ··· dλ 1 −1+1/a r 2π 3A 15A (2i − 1)!!A = a f (a) 1 + 4 + 6 + ··· + 2i + ··· . C C 2 C 3 C i
(Here, only the part of the integral with C λ2 < B log n, where B is any function of n going to infinity as n does, contributes.) This equality and the expression in Theorem 9 are interpreted as asymptotic expansions. Although these series themselves may not converge for a fixed n, we may truncate the resulting approximation at O(n−A) for some A > 0, and as n → +∞, this approximation becomes true to the specified precision. Substituting into this expansion the formulas for C and Ai in terms of n, we obtain the statement of the theorem with F (n) replaced by the integral over f (t), with only A2i (i ≤ 3k) contributing to bk . But then the −3πt −K same asymptotic formula holds also for F (n), since the ratio f (t)/θ0(t) = 1 + e + ··· is equal to 1 + O(n ) for any K > 0 for t near a. 5. Proof of Theorems 1 and 2 A. Proof of Theorem 1. For each d ≥ 1, we use Theorem 3 with sequences {A(n)} and {δ(n)} for which
d γ(n + j ) 2 2 X i d log = A(n)j − j δ(n) + g (n)j + o δ(n) , [15] γ(n) i i=3