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Lemma 4 — a normalized CM ideal lattice


Statement

Retain the notation of [[discrete_geometry/sawin_2026_explicit_lower_bound_unit_distance_problem/lemma_3|Lemma 3]]. Fix a fractional ideal II of KK and a nonzero α∈NK/F(I)\alpha\in N_{K/F}(I). View II through its archimedean embedding as a lattice

Λ=I⊂∏v∈ΣF,∞Kv≅Cd≅R2d.\Lambda=I\subset \prod_{v\in\Sigma_{F,\infty}}K_v \cong\mathbb C^d\cong\mathbb R^{2d}.

For x=(xv)vx=(x_v)_v, define

∥x∥=max⁡v∈ΣF,∞∣xv∣∣α∣v.(1)\|x\|=\max_{v\in\Sigma_{F,\infty}} \frac{|x_v|}{\sqrt{|\alpha|_v}}. \tag{1}

Choose one infinite place v0v_0. Let π:I→C≅R2\pi:I\to\mathbb C\cong\mathbb R^2 be its field embedding followed by division by ∣α∣v0\sqrt{|\alpha|_{v_0}}. Then π\pi is injective, the least nonzero lattice norm ρ\rho satisfies

ρ≥#(NK/F(I)/(α))−1/(2d),(2)\rho\geq \#(N_{K/F}(I)/(\alpha))^{-1/(2d)}, \tag{2}

and every β∈I\beta\in I satisfying βc(β)=α\beta c(\beta)=\alpha obeys

∥β∥=1,∣π(β)∣=1.(3)\|\beta\|=1, \qquad |\pi(\beta)|=1. \tag{3}

Proof

If βc(β)=α\beta c(\beta)=\alpha, then at every infinite place vv,

∣β∣v=∣βc(β)∣v=∣α∣v.|\beta|_v=\sqrt{|\beta c(\beta)|_v}=\sqrt{|\alpha|_v}.

This proves (3). For arbitrary nonzero β∈I\beta\in I, take square roots in Lemma 3:

∏v∈ΣF,∞∣β∣v∣α∣v=#(I/(β))#(NK/F(I)/(α))≥#(NK/F(I)/(α))−1/2.(4)\prod_{v\in\Sigma_{F,\infty}} \frac{|\beta|_v}{\sqrt{|\alpha|_v}} =\sqrt{ \frac{\#(I/(\beta))}{\#(N_{K/F}(I)/(\alpha))}} \geq\#(N_{K/F}(I)/(\alpha))^{-1/2}. \tag{4}

The maximum of dd nonnegative numbers is at least their geometric mean. Applying that observation to (4) gives (2). The selected field embedding is injective, so the same is true of π\pi.

Source scope

This is Lemma 4 on physical p. 5 of the arXiv v1 manuscript. The explicit nonzero qualification is forced by the normalizing denominators. The printed statement does not assert that π\pi is injective; that clause is added here, with its one-line proof, because Lemma 5 needs it to apply Lemma 2.

Used by. [[discrete_geometry/sawin_2026_explicit_lower_bound_unit_distance_problem/lemma_5|Lemma 5]].

Bears on. Problem 90.