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Coordinate Tensor Norm Bound

Proved
FunctionalInequalities.Analysis.Tensor.norm_coordTensor_le_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This theorem bounds the coordinate-array norm of a multilinear map in an orthonormal basis.

Let EEE be a real inner-product space, let n,k∈Nn,k\in\mathbb Nn,k∈N, let bbb be an orthonormal basis indexed by Fin⁡(n)\operatorname{Fin}(n)Fin(n), and let Φ:Ek→R\Phi:E^k\to\mathbb RΦ:Ek→R be a continuous kkk-linear map. Then its coordinate tensor satisfies

∥coordTensor⁡(b,Φ)∥≤(n)k ∥Φ∥.\|\operatorname{coordTensor}(b,\Phi)\|\le (\sqrt n)^k\,\|\Phi\|.∥coordTensor(b,Φ)∥≤(n​)k∥Φ∥.

Here coordTensor is the coefficient array obtained by evaluating Φ\PhiΦ on basis vectors, while ∥Φ∥\|\Phi\|∥Φ∥ is the continuous multilinear operator norm. The estimate is a dimension-dependent bridge from operator norms to coordinate Hilbert-space norms.

Original Lean declaration header

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

theorem norm_coordTensor_le {n k : ℕ} (b : OrthonormalBasis (Fin n) ℝ E)
    (Φ : ContinuousMultilinearMap ℝ (fun _ : Fin k => E) ℝ) :
    ‖coordTensor b Φ‖ ≤ Real.sqrt n ^ k * ‖Φ‖

Module navigation

Module: Analysis/Tensor/Coefficients.

Definition modules: Analysis/Tensor/Coordinate.

Previous: apply_eq_sum_coordTensor.

Source excerpt, lines 181–183 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Tensor_Coefficients

variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
Formal statement

theorem FunctionalInequalities.Analysis.Tensor.norm_coordTensor_le_readable {n k : ℕ} (b : OrthonormalBasis (Fin n) ℝ E)
    (Φ : ContinuousMultilinearMap ℝ (fun _ : Fin k => E) ℝ) :
    ‖coordTensor b Φ‖ ≤ Real.sqrt n ^ k * ‖Φ‖ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Tensor/Coefficients.lean#L180-L213 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Tensor.Coefficients`, declaration `FunctionalInequalities.Analysis.Tensor.norm_coordTensor_le`; the repository is private at upload time).

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