OAI/GroupTheory/PolycyclicRecognition/Analysis/UniformBoxTranslation.lean

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2 declarations, 0 contain sorry, 0 declared as axioms

Uniform small translations of actual model cells

  1. theorem OAI.PolycyclicRecognition.model_cell_boundary_loss_tendstoUniformly line 23

    Source documentation

    A common vanishing normalized coordinate bound gives uniform boundary loss in every sampled parameter. No convergence of the basis is required.

    theorem model_cell_boundary_loss_tendstoUniformly
        (haar : NilpotentExponentialHaarInput E G)
        (Exp : GroupLieAlgebra (π“˜(ℝ, E)) G β†’ G) (hExp : IsGroupExponential Exp)
        (e : L ≃ₗ⁅ℝ⁆ GroupLieAlgebra (π“˜(ℝ, E)) G)
        (hnil : LieRing.IsNilpotent (GroupLieAlgebra (π“˜(ℝ, E)) G))
        {n c : β„•} (b : ΞΉ β†’ Basis (Fin n) ℝ L)
        (a : DynkinCoefficients c 2)
        (hm : βˆ€ x y, Exp (finiteDynkinPolynomial a ![x, y]) = Exp x * Exp y)
        {C : ℝ} (hbound : βˆ€ i, β€–basisBracket (b i)β€– ≀ C)
        {l : Filter ΞΉ} (q : ΞΉ β†’ Z β†’ Fin n β†’ ℝ)
        (hq : TendstoUniformly q (fun _ => 0) l)
        {S : Set (Fin n β†’ ℝ)} (hS : MeasurableSet S) (hfin : volume S β‰  ⊀) :
    …

    Mentions: OAI.PolycyclicRecognition.NilpotentExponentialHaarInput, OAI.PolycyclicRecognition.DynkinCoefficients, OAI.PolycyclicRecognition.finiteDynkinPolynomial, OAI.PolycyclicRecognition.basisBracket

  2. theorem OAI.PolycyclicRecognition.model_cell_observable_error_tendstoUniformly line 50

    Source documentation

    Uniformity also holds after projection to any bounded observable, even when that observable depends on the scale and the sampled parameter.

    theorem model_cell_observable_error_tendstoUniformly
        (haar : NilpotentExponentialHaarInput E G)
        (Exp : GroupLieAlgebra (π“˜(ℝ, E)) G β†’ G) (hExp : IsGroupExponential Exp)
        (e : L ≃ₗ⁅ℝ⁆ GroupLieAlgebra (π“˜(ℝ, E)) G)
        (hnil : LieRing.IsNilpotent (GroupLieAlgebra (π“˜(ℝ, E)) G))
        {n c : β„•} (b : ΞΉ β†’ Basis (Fin n) ℝ L)
        (a : DynkinCoefficients c 2)
        (hm : βˆ€ x y, Exp (finiteDynkinPolynomial a ![x, y]) = Exp x * Exp y)
        {C : ℝ} (hbound : βˆ€ i, β€–basisBracket (b i)β€– ≀ C)
        {l : Filter ΞΉ} (q : ΞΉ β†’ Z β†’ Fin n β†’ ℝ)
        (hq : TendstoUniformly q (fun _ => 0) l)
        {S : Set (Fin n β†’ ℝ)} (hS : MeasurableSet S) (hfin : volume S β‰  ⊀)
    …

    Mentions: OAI.PolycyclicRecognition.NilpotentExponentialHaarInput, OAI.PolycyclicRecognition.DynkinCoefficients, OAI.PolycyclicRecognition.finiteDynkinPolynomial, OAI.PolycyclicRecognition.basisBracket