Coordinate Tensor Norm Bound
ProvedFunctionalInequalities.Analysis.Tensor.norm_coordTensor_le_readableThis theorem bounds the coordinate-array norm of a multilinear map in an orthonormal basis.
Let be a real inner-product space, let , let be an orthonormal basis indexed by , and let be a continuous -linear map. Then its coordinate tensor satisfies
Here coordTensor is the coefficient array obtained by evaluating on basis vectors, while 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‖
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Module: Analysis/Tensor/Coefficients.
Definition modules: Analysis/Tensor/Coordinate.
Previous: apply_eq_sum_coordTensor.
Source excerpt, lines 181–183 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Tensor_Coefficients
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
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