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Hilbert–Schmidt Bound On Operator Application

Proved
FunctionalInequalities.Analysis.norm_apply_sq_le_hsNormSq_mul_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement bounds the norm of an operator applied to a vector.

Let n be a natural number, let M be a continuous linear endomorphism of EuclideanSpace⁡ R (Fin⁡n)\operatorname{EuclideanSpace}\,\mathbb R\,(\operatorname{Fin} n)EuclideanSpaceR(Finn), and let x be a vector. Then

∥Mx∥2≤∥M∥HS2 ∥x∥2,\|Mx\|^2\leq\|M\|_{HS}^2\,\|x\|^2,∥Mx∥2≤∥M∥HS2​∥x∥2,

where hsNormSq M is the squared Hilbert–Schmidt norm.

This is a standard finite-dimensional estimate useful for Lyapunov and cutoff bounds.

Formalization Note The statement uses the canonical Euclidean basis and includes all natural numbers n.

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.

theorem norm_apply_sq_le_hsNormSq_mul (M : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n))
    (x : EuclideanSpace ℝ (Fin n)) : ‖M x‖ ^ 2 ≤ hsNormSq M * ‖x‖ ^ 2

Module navigation

Module: Analysis/Operator/HilbertSchmidt.

Next: opNorm_sq_le_hsNormSq.

Source excerpt, lines 76–77 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Operator_HilbertSchmidt

variable {n : ℕ}
Formal statement

theorem FunctionalInequalities.Analysis.norm_apply_sq_le_hsNormSq_mul_readable (M : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n))
    (x : EuclideanSpace ℝ (Fin n)) : ‖M x‖ ^ 2 ≤ hsNormSq M * ‖x‖ ^ 2 := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Operator/HilbertSchmidt.lean#L75-L103 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Operator.HilbertSchmidt`, declaration `FunctionalInequalities.Analysis.norm_apply_sq_le_hsNormSq_mul`; the repository is private at upload time).

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