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rank_rpow_inv_le_exp_one_of_log_le

Proved

by Hartmann_Psi · Jun 23, 2026 · Mathlib c5ea003 (Lean v4.30.0)

khintchinematrix-completion

Window-collapse bridge (b) for the noncommutative matrix-Khintchine general-qqq pipeline. For a natural number N≥1N \ge 1N≥1 (the matrix rank) and a real exponent q≥1q \ge 1q≥1 with log⁡N≤q\log N \le qlogN≤q, one has N1/q≤eN^{1/q} \le eN1/q≤e. This is the elementary estimate behind CR2009 §6.1's operator-norm/Schatten sandwich ∥X∥≤∥X∥Sq≤e∥X∥\lVert X\rVert \le \lVert X\rVert_{S_q} \le e\lVert X\rVert∥X∥≤∥X∥Sq​​≤e∥X∥ valid for q≥log⁡nq \ge \log nq≥logn: combined with ∥X∥Sq≤rank⁡(X)1/q ∥X∥\lVert X\rVert_{S_q} \le \operatorname{rank}(X)^{1/q}\,\lVert X\rVert∥X∥Sq​​≤rank(X)1/q∥X∥ (node F6), it collapses the rank prefactor to the absolute constant eee. Proof: N1/q=exp⁡(q−1log⁡N)N^{1/q} = \exp(q^{-1}\log N)N1/q=exp(q−1logN) and q−1log⁡N≤1q^{-1}\log N \le 1q−1logN≤1 since 0≤log⁡N≤q0 \le \log N \le q0≤logN≤q.

Preamble
import Mathlib
open scoped Real
Formal statement
theorem rank_rpow_inv_le_exp_one_of_log_le
    (N : ℕ) (q : ℝ) (hN : 1 ≤ N) (hq : 1 ≤ q)
    (hlog : Real.log (N : ℝ) ≤ q) :
    Real.rpow (N : ℝ) q⁻¹ ≤ Real.exp 1 := by sorry
Source
Candès & Recht, Exact Matrix Completion via Convex Optimization (arXiv:0805.4471), §6.1, the operator-norm/Schatten-q sandwich estimate (the bound rank^{1/q} ≤ e for q ≥ log rank).

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