quadratic_neumann_section63_middle_index_distinct_mean_case_bound_under_general_sample_bound
Provedcandes-rechtlean4matrix-completionneumann-seriesprobabilitysection-6-3
Role. This is the mean/deterministic subterm in the Candes-Recht Section 6.3 middle-index-distinct case, , from the five-way partition in equation (6.20).
Claim. Under the general Theorem 1.3 sample lower bound, the second subterm produced by is bounded at the Section 6.3 summary scale with probability at least .
Source. Candes-Recht 2008, Section 6.3, PDF pp. 32--33: the paragraph beginning “The other term is equal to times ...” and the concluding third-term bound.
Preamble
import Definitions.Def_matrix_completion_neumann open MatrixCompletion
Formal statement
/-- Source: Candes-Recht 2008, Section 6.3, PDF pp. 32--33, the second
subterm in the `ω₁ = ω₃ ≠ ω₂` case after equation (6.20), where the paper
uses the same auxiliary coefficient bound and then estimates the deterministic
diagonalized sum.
This states the mean subterm estimate at the PDF p. 34 Section 6.3 summary
scale, under the general Theorem 1.3 sample lower bound. -/
theorem quadratic_neumann_section63_middle_index_distinct_mean_case_bound_under_general_sample_bound :
∃ C c : ℝ, 0 < C ∧ 0 < c ∧
∀ C' : ℝ, C ≤ C' →
∀ (β : ℝ), 2 < β →
∀ (n₁ n₂ r m : ℕ) (M : Matrix (Fin n₁) (Fin n₂) ℝ)
(μ₀ μ₁ : ℝ) (S : SVD M r),
0 < n₁ → 0 < n₂ → 0 < r → m ≤ n₁ * n₂ →
1 ≤ μ₀ → 1 ≤ μ₁ →
A0 S μ₀ → A1 S μ₁ →
(m : ℝ) ≥
C' * max (max (μ₁ ^ 2) (Real.sqrt μ₀ * μ₁))
(μ₀ * Real.rpow (↑(max n₁ n₂)) ((1 : ℝ) / 4))
* (↑(max n₁ n₂)) * (r : ℝ) * (β * Real.log (↑(max n₁ n₂))) →
bernoulliEventProb ((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ)))
(fun Omega =>
spectralNorm
(quadraticNeumannMiddleIndexDistinctMeanContribution Omega S
((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ)))) ≤
(let N : ℝ := ↑(max n₁ n₂)
let R : ℝ := (r : ℝ)
let Mobs : ℝ := (m : ℝ)
let logN : ℝ := Real.log N
C *
((μ₀ ^ 2 * μ₁) *
Real.sqrt ((N * R * (β * logN)) / Mobs) *
((N * R) / Mobs) ^ 2 +
μ₀ ^ 2 * ((N * R) / Mobs) ^ 2 +
Real.sqrt (β * logN) *
Real.rpow ((N * R) / Mobs) ((3 : ℝ) / 2) *
(μ₀ ^ 2 * R) +
Real.rpow
((μ₀ * μ₁ * N * R * (β * logN)) / Mobs)
((3 : ℝ) / 2)))) ≥
1 - c * Real.rpow (↑(max n₁ n₂)) (-β) := by
sorrySource
Candes-Recht 2008, Section 6.3, PDF pp. 32--33, after equation (6.20).