HighFreqBandEstimate #
Slow factor and factorization #
Pointwise bounds #
Interval partition quantities #
Infrastructure: Haar-to-interval decomposition #
The key identity relating Haar integrals on AddCircle T to
interval integrals on ℝ is:
∫ f ∂haarAddCircle = (1/T) ∑_{k=0}^{N-1} ∫_{I_k} f(↑t) dt
This follows from:
AddCircle.integral_preimage:∫ₜ∈Ioc(0,T) f(↑t) dt = ∫ f ∂volumeAddCircle.volume_eq_smul_haarAddCircle:volume = T • haarAddCircle- Additivity of interval integrals.
Intermediate lemmas (4.1a–d) #
Parseval identity for finite Fourier sums indexed by Fin L #
Auxiliary #
Core lower bound #
Combines assembly + Poincaré to get: ∫ ρ(P)² d(haar) ≥ circleNormSq(Q) / 32.
The arithmetic reduces to: 136π²(L−1)² ≤ N² (under 1343L² ≤ N²).
Since 136π² ≈ 1342.27, we need ⌈136π²⌉ = 1343.
The hypothesis 1343 * L^2 ≤ N^2 implies 136π²(L-1)² ≤ 136π²L² ≤ 1343L² ≤ N².
Main theorem #
theorem
FockSPR.high_freq_band_estimate
{N L : ℕ}
(hN : 1 ≤ N)
(hL : 1 ≤ L)
(hNL : 1343 * L ^ 2 ≤ N ^ 2)
(b : Fin L → ℂ)
(P : AddCircle T → ℂ)
(hP : P = fun (t : AddCircle T) => ∑ m : Fin L, b m * (fourier ↑(N + ↑m)) t)
:
Theorem 4.1: High-frequency band estimate. For N ≥ 1, L ≥ 1, 1343·L² ≤ N², and P(t) = ∑ b(m)·fourier(N+m)(t): circleNormSq(P) ≤ 32 · ∫ ρ(P)² d(haar).