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 #
abs_vecDot_le_dim_mul— the pointwise bound.abs_setIntegral_vecDot_le— the integrated bound.vecNormSq_matVecMul_le_of_entry_bound— a matrix with entries bounded bydeltamoves the Euclidean square by at most(d · delta)².
References #
- ABK26, the energy estimates of Section 5.1.
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 #
An entrywise bound on a matrix bounds its action.