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LeanPool.Superdiffusion.Algsuperdiff.Section5.Support.VectorPairing

VectorPairing #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

The L² pairing bound on the supremum-norm carrier #

The ambient carrier Vec d = Fin d → ℝ is normed by the supremum norm, so it is not an inner-product space and the Cauchy-Schwarz inequality is not available on VectorL2 U directly. What is true, and what the energy estimates need, is the same bound with the dimensional factor d:

  |∫_U ⟨F, G⟩| ≤ d ‖F‖_{L²(U)} ‖G‖_{L²(U)} .

The factor enters once, in the pointwise step |⟨x, y⟩| ≤ d ‖x‖ ‖y‖, and is the exact price of measuring a d-term sum by the largest of its factors. No Hilbert carrier is introduced.

Main results #

References #

1. The pointwise bound #

The pairing is bounded by d times the product of the supremum norms.

2. The integrated bound #

The L² pairing bound on the supremum-norm carrier.

3. A matrix perturbation moves the Euclidean square by (d · delta)² #

theorem Algsuperdiff.Section5.Support.norm_matVecMul_le_of_entry_bound {d : ℕ} {A : HCPolySupport.Mat d} {delta : ℝ} (hdelta : 0 ≤ delta) (hA : ∀ (i j : Fin d), |A i j| ≤ delta) (xi : HCPolySupport.Vec d) :

An entrywise bound on a matrix bounds its action.