Around-expectation tangent deviation, density-threaded (positive samples)
Provedtalagrand_tangent_sampling_deviation_around_expectation_of_positive_samples_denseconcentrationmatrix-completiontalagrand
db094af7_dense — density-threaded around-expectation deviation (positive samples). Density-correct version of talagrand_tangent_sampling_deviation_around_expectation_of_positive_samples (db094af7): drops the increment/variance hypotheses (only A0/A1 + density + ). Reduces onto e5bb2914_dense after re-deriving the increment () and variance () bounds from A0 via the Proved node a0_implies_tangent_sampling_talagrand_increment_and_variance_bounds_min (8a1508ad) at the achievable coefficient .
Preamble
import Definitions.Def_matrix_completion_talagrand open MatrixCompletion
Formal statement
theorem talagrand_tangent_sampling_deviation_around_expectation_of_positive_samples_dense
(Cexpect : ℝ) :
0 < Cexpect →
∃ Ctail c : ℝ, 0 < Ctail ∧ 0 < 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 → 0 < m → m ≤ n₁ * n₂ →
1 ≤ μ₀ → 1 ≤ μ₁ →
A0 S μ₀ → A1 S μ₁ →
(m : ℝ) ≥ β * μ₀ * (↑(max n₁ n₂)) * (r : ℝ) *
Real.log (↑(max n₁ n₂)) →
bernoulliExpectation ((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ)))
(fun Omega =>
tangentSamplingDeviation Omega S
((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ)))) ≤
tangentSamplingDeviationScale Cexpect β μ₀ (max n₁ n₂) r m →
bernoulliEventProb ((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ)))
(fun Omega =>
TangentSamplingDeviationBound Omega S
((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ)))
(tangentSamplingDeviationScale Cexpect β μ₀ (max n₁ n₂) r m +
tangentSamplingDeviationScale Ctail β μ₀ (max n₁ n₂) r m)) ≥
1 - c * Real.rpow (↑(max n₁ n₂)) (-β) := by sorry
Source
Candes–Recht 2009 (arXiv:0805.4471) §9.1 (Inc/Var = eq.(4.8) coordinate-Frobenius scale; deviation = Thm 9.1 eq.(9.2)).