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Erdélyi: Do flat skew-reciprocal Littlewood polynomials exist?

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Tamás Erdélyi, "Do flat skew-reciprocal Littlewood polynomials exist?," arXiv:2001.08151 (2020).

Retained PDF. The arXiv record (https://arxiv.org/abs/2001.08151, read 2026-10-02) names the CC0 1.0 Universal public domain dedication.

Bears on. E1150.

Overview

The paper gives a new proof of the existence of uniformly flat Littlewood polynomials in the broad two-sided sense. Its principal assertion, Theorem 1.1 (p. 1), is that there are absolute constants 0<η1<η20<\eta _1<\eta _2 and Littlewood polynomials PnP_n of degree nn satisfying

η1n≤∣Pn(z)∣≤η2n(∣z∣=1).\eta _1\sqrt n\le |P_n(z)|\le \eta _2\sqrt n\qquad(|z|=1).

This is presented as a simplified proof of the cited theorem of Balister–Bollobás–Morris–Sahasrabudhe–Tiba, and not as an ultraflat estimate with constants tending to 11. The stronger structural result is Theorem 1.2 (p. 2): one may choose degree-2n2n polynomials P2n(z)=∑j=02naj,nzjP_{2n}(z)=\sum_{j=0}^{2n}a_{j,n}z^j with the same two-sided bounds and with a linearly large central block, of half-width mn≥ηnm_n\ge \eta n, on which

aj,n=(−1)n−ja2n−j,n,a_{j,n}=(-1)^{n-j}a_{2n-j,n},

while outside that block aj,n=−a2n−j,na_{j,n}=-a_{2n-j,n}. Thus the construction is close to, but is not claimed to be, genuinely skew-reciprocal. Problem 1.3 (p. 2) asks for flat genuinely skew-reciprocal Littlewood polynomials and is explicitly left open. The paper also cites earlier results implying that every self-reciprocal Littlewood polynomial has a unit-circle zero, so no analogous positive lower-modulus bound is possible in that class (p. 2); this is cited background, not proved here.

The construction begins with the Rudin–Shapiro recursion in Section 2. Its fundamental identity is

∣Pm(eit)∣2+∣Qm(eit)∣2=2m+1=2M,(2.1)|P_m(e^{it})|^2+|Q_m(e^{it})|^2=2^{m+1}=2M, \tag{2.1}

where M=2mM=2^m (p. 3). Lemma 2.1 (p. 3) gives the uniform estimate ∣P<n(eit)∣≤5n|P_{<n}(e^{it})|\le5\sqrt n for truncated Rudin–Shapiro polynomials. Lemmas 2.2 and 2.3 (pp. 3–4) furnish lower bounds for ∣Pm∣|P_m| at, and near, selected MMth roots of unity. The real trigonometric polynomial

T(t)=Re⁡ ⁣((1+eiMt+⋯+e8iMt)Pm(eit))(2.2)T(t)=\operatorname{Re}\!\left((1+e^{iMt}+\cdots+e^{8iMt})P_m(e^{it})\right) \tag{2.2}

is chosen with μ=9M\mu=9M and 2−75≤γ=μ/(2n)<2−722^{-75}\le\gamma=\mu/(2n)<2^{-72}, as in (2.3), and has norm ∥T∥=6γn\|T\|=6\sqrt{\gamma n} by (2.4) (p. 4). Lemma 2.4 (pp. 4–5), using Bernstein’s inequality and control of the phase derivative in (2.5)–(2.10), shows that TT reaches a fixed fraction of its norm on both sides of each selected grid point.

Section 3 assembles the approximation-theoretic tools. Definition 3.1 (p. 6) specifies the suitable collections of exceptional intervals (endpoints in (10π/n)Z(10\pi/n)\mathbb Z, invariant under θ↦π±θ\theta\mapsto\pi\pm\theta, and 4N4N intervals with N≤γnN\le\gamma n) and the well-separated ones among them. Lemma 3.2 is the exact-constant Jackson estimate, Lemma 3.3 is the de la Vallée Poussin approximation estimate, and Lemma 3.4 is Bernstein’s inequality (p. 7). Lemma 3.5 (p. 8) uses 200th divided differences and Bernstein’s inequality to force an interval of uniform largeness among every 400 candidate intervals. Lemmas 3.6 and 3.7 (p. 9) give the Riesz lower estimate near a point of maximum and a discrete sampling bound, respectively. These approximation results are invoked as classical or cited results except where proofs are included.

The combinatorial input is the discrepancy-rounding statement Lemma 4.1 (p. 9), quoted as a consequence of a Lovett–Meka variant of Spencer’s partial-coloring method. It rounds a vector in [−1,1]v[-1,1]^v to signs while controlling prescribed linear forms.

Theorem 5.1 (pp. 9–10) constructs a cosine polynomial

c(t)=∑k=0μεkcos⁡(2kt)c(t)=\sum_{k=0}^{\mu}\varepsilon_k\cos(2kt)

with sign coefficients, c(t)≤nc(t)\le\sqrt n globally, and c(t)≥η1nc(t)\ge\eta_1\sqrt n off a suitable, well-separated exceptional collection I\mathcal I. The proof takes c(t)=T(2t)c(t)=T(2t), partitions the circle into intervals of length 10π/n10\pi/n, and uses Lemmas 2.4 and 3.5 to bound the lengths of bad components, zero counting to bound their number, and Lemma 3.6 to keep them away from multiples of π/2\pi/2.

Theorem 6.1 (pp. 11–14) constructs an odd-frequency sine polynomial

so(t)=∑k=1nε(2k−1)sin⁡((2k−1)t)s_o(t)=\sum_{k=1}^n\varepsilon(2k-1)\sin((2k-1)t)

such that ∣so(t)∣≥36n|s_o(t)|\ge36\sqrt n on the exceptional set and ∣so(t)∣≤1090n|s_o(t)|\le1090\sqrt n everywhere. Lemma 6.2 (pp. 11–12) uses Lemma 4.1 to choose a symmetric coloring whose relevant Fourier coefficients have modulus at most 11. Lemma 6.3 (pp. 12–13) performs a second discrepancy rounding and, with Lemma 3.7, approximates the corresponding de la Vallée Poussin sum within 66n66\sqrt n. Lemma 6.4 (p. 13), based on Lemmas 3.2–3.3, gives lower and upper bounds for that sum; Lemma 6.5 (p. 14) bounds an even-frequency Rudin–Shapiro correction ses_e by 6n6\sqrt n.

Section 7 (p. 14) combines the complementary cosine and sine estimates through

P4n(eit)e−2int=(−1+2c(t))+2i(so(t)+se(t)).P_{4n}(e^{it})e^{-2int}=(-1+2c(t))+2i\bigl(s_o(t)+s_e(t)\bigr).

Outside ⋃I\bigcup\mathcal I, the real part supplies the lower bound; on ⋃I\bigcup\mathcal I, the imaginary part supplies at least 60n60\sqrt n. The displayed estimates give the explicit construction-level upper bound

∣P4n(eit)∣≤1+2196n.|P_{4n}(e^{it})|\le1+2196\sqrt n.

The coefficient construction yields the symmetry in Theorem 1.2 with mn=2μ=2γnm_n=2\mu=2\gamma n in the proof’s indexing. The result is existential: it establishes absolute two-sided n\sqrt n bounds and partial skew-reciprocal structure, but neither determines optimal constants nor proves the open skew-reciprocal variant.

Relation to E1150

Write NN for the degree in E1150, to distinguish it from the paper’s construction parameter. E1150 asks whether some fixed c>0c>0 satisfies

∥P∥T:=max⁡∣z∣=1∣P(z)∣>(1+c)N\|P\|_{\mathbb T}:=\max_{|z|=1}|P(z)|>(1+c)\sqrt N

for every sufficiently large NN and every degree-NN Littlewood polynomial. A counterexample therefore requires polynomials whose normalized maximum is at most 1+c1+c for every proposed cc, equivalently a sequence approaching the baseline constant 11 closely enough to rule out any fixed gap.

Theorem 1.1 supplies only

η1N≤∣PN(z)∣≤η2N,\eta_1\sqrt N\le |P_N(z)|\le\eta_2\sqrt N,

with unspecified absolute constants that are not asserted to approach 11. In the explicit degree-N=4nN=4n construction of Section 7 (p. 14),

∥PN∥T≤1+2196n=1+1098N.\|P_N\|_{\mathbb T}\le1+2196\sqrt n =1+1098\sqrt N.

Thus the paper proves the correct order O(N)O(\sqrt N) for selected Littlewood polynomials, but not the (1+o(1))N(1+o(1))\sqrt N upper bound needed to refute E1150. Conversely, it gives no universal lower bound exceeding (1+c)N(1+c)\sqrt N, so it does not prove E1150 either. Its positive lower estimate for ∣PN(z)∣|P_N(z)| at every point of the circle concerns absence of small values and zeros; it is not a lower estimate for the maximum of every Littlewood polynomial.

The most potentially reusable ingredient is the complementary-region construction in Theorems 5.1 and 6.1: the even-frequency cosine part is large off a controlled exceptional set, while a discrepancy-rounded odd-frequency sine part is large on that set. In E1150 notation this supplies a structured family of candidate near-extremizers with ∥PN∥T≍N\|P_N\|_{\mathbb T}\asymp\sqrt N. Lemmas 2.2–2.4 and 3.5 control where the Rudin–Shapiro seed can be small; Lemmas 6.2–6.4 show how to patch those regions while retaining sign coefficients. These mechanisms could enter an attempted counterexample if their constants and accumulated discrepancy error were sharpened from a large absolute constant to 1+o(1)1+o(1).

Theorem 1.2 additionally places the candidates in a partially skew-reciprocal subclass: away from a central block the coefficients are anti-reciprocal, while a block of width proportional to NN has an alternating reflected symmetry. This may be useful for reducing or organizing a search for E1150 candidates, since every member remains an admissible Littlewood polynomial. It does not impose the exact skew-reciprocity posed in Problem 1.3 (p. 2), which the paper leaves open, and E1150 itself has no reciprocity hypothesis. Accordingly, the paper is relevant as an O(N)O(\sqrt N) construction and a toolkit for patching low-modulus arcs, not as a resolution of the fixed-gap question.