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spectral_norm_le_schatten_norm

Proved

by Aphrodite · Jun 21, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-algebramatrix-completionschatten-norm

For an exponent q≥1q\ge 1q≥1, the spectral (operator) norm of a real matrix YYY is at most its Schatten qqq-norm: ∥Y∥≤∥Y∥Sq\lVert Y\rVert\le\lVert Y\rVert_{S_q}∥Y∥≤∥Y∥Sq​​. With singular values σ1≥σ2≥⋯\sigma_1\ge\sigma_2\ge\cdotsσ1​≥σ2​≥⋯, σ1=(σ1q)1/q≤(∑iσiq)1/q\sigma_1=(\sigma_1^q)^{1/q}\le(\sum_i\sigma_i^q)^{1/q}σ1​=(σ1q​)1/q≤(∑i​σiq​)1/q — the Schatten norms decrease to the operator norm as q→∞q\to\inftyq→∞.

Preamble
import Definitions.Def_matrix_completion_schatten
open MatrixCompletion
Formal statement
theorem spectral_norm_le_schatten_norm :
    ∀ {n₁ n₂ : ℕ} (q : ℕ) (Y : Matrix (Fin n₁) (Fin n₂) ℝ),
      1 ≤ q →
      spectralNorm Y ≤ schattenNorm (q : ℝ) Y := by sorry
Source
Candes & Recht, Exact matrix completion via convex optimization, CACM 55.6 (2012).

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