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LeanPool.Superdiffusion.Algsuperdiff.Section5.Field.CutoffLimit

CutoffLimit #

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

The full field as the limit of the normalized cutoff fields #

The truncated coefficient field of ABK26 is a_L = ν I + k_L with k_L = Σ_{n ≤ L} j_n, and the untruncated field is a = ν I + k with k(x) = Σ_{n ∈ ℤ} (j_n(x) - j_n(0)). The two are not related by a convergent limit as they stand: the constant matrix k_L(0) = Σ_{n ≤ L} j_n(0) grows with L. The object that does converge is the cutoff field normalized at the origin,

  ã_L(x) = a_L(x) - k_L(0) = ν I + (k_L(x) - k_L(0)) ,

whose distance to a on a cube is exactly the ascending tail

  a(x) - ã_L(x) = k(x) - (k_L(x) - k_L(0)) = Σ_{n > L} ( j_n(x) - j_n(0) ) .

Since k_L(0) is a constant skew matrix, ã_L and a_L have the same divergence-form weak solutions, so nothing is lost by the normalization.

On the sharp carrier the ascending shell gradients obey ‖∇ j_n‖_{L^∞(□_ℓ)} ≤ C 3^{(γ-1)n} (2 + |n| + |ℓ|), so the tail above is bounded on □_ℓ by a geometric factor 3^{(γ-1)(L+1)} times a weight linear in L, and tends to zero as L → ∞.

Main definitions #

Main results #

References #

1. The geometric ratio of the large-scale increments #

The geometric ratio 3^{γ-1} of the ascending shell gradient rate.

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    The arithmetico-geometric constant Σ_{r ≥ 0} (r+1) 3^{(γ-1)r} of the ascending tail.

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      theorem Algsuperdiff.Section5.Field.summable_largeScaleTail {gamma : ℝ} (hgamma : gamma < 1) :
      Summable fun (r : ℕ) => (↑r + 1) * largeScaleRatio gamma ^ r

      2. The normalized cutoff fields #

      The cutoff field normalized at the origin, k_L - k_L(0).

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        The constant skew matrix by which the normalized cutoff differs from the cutoff.

        The normalized coefficient cutoff ã_L = a_L - k_L(0) = ν I + (k_L - k_L(0)). It has the same divergence-form weak solutions as a_L, because k_L(0) is a constant skew matrix.

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          3. The exact relation with the full field #

          theorem Algsuperdiff.Section5.Field.streamField_sub_normalizedCutoff_entry {d : ℕ} {gamma : ℝ} (omega : FullSample d gamma) (L : ℤ) (x : HCPolySupport.Vec d) (i k : Fin d) :
          streamField omega x i k - normalizedCutoff L (↑omega) x i k = ∑' (r : ℕ), ((↑(↑↑omega (L + 1 + ↑r))).1 x i k - (↑(↑↑omega (L + 1 + ↑r))).1 0 i k)

          The exact relation between the full field and its normalized cutoffs: their difference is the ascending tail Σ_{n > L} (j_n(x) - j_n(0)).

          theorem Algsuperdiff.Section5.Field.streamCoefficient_sub_normalizedCoefficientCutoff_entry {d : ℕ} {gamma : ℝ} (nu : ℝ) (omega : FullSample d gamma) (L : ℤ) (x : HCPolySupport.Vec d) (i k : Fin d) :
          streamCoefficient nu omega x i k - normalizedCoefficientCutoff nu L (↑omega) x i k = streamField omega x i k - normalizedCutoff L (↑omega) x i k

          The same relation for the coefficient fields.

          4. The geometric rate on an origin cube #

          theorem Algsuperdiff.Section5.Field.abs_streamField_sub_normalizedCutoff_le {d : ℕ} {gamma : ℝ} {C : ℕ} (hgamma : gamma < 1) (omega : FullSample d gamma) (hC : SharpTailBounded gamma C ↑omega) (ell L : ℤ) {x : HCPolySupport.Vec d} (hx : x ∈ HCPolySupport.openCubeSet (HCPolySupport.originCube d ell)) (i k : Fin d) :
          |streamField omega x i k - normalizedCutoff L (↑omega) x i k| ≤ 3 * ↑d * ↑C * sharpTailWeight L ell * ‖x‖ * Real.rpow 3 ((gamma - 1) * (↑L + 1)) * largeScaleTailSum gamma

          The explicit geometric bound on the entrywise distance between the full field and its L-th normalized cutoff, at a point of the origin cube of scale ℓ.

          5. The gap on a cube, and its vanishing as L → ∞ #

          noncomputable def Algsuperdiff.Section5.Field.cutoffLimitGap (d : ℕ) (gamma : ℝ) (C : ℕ) (ell L : ℤ) :

          The explicit geometric gap between the full field and its L-th normalized cutoff, entrywise on the origin cube of scale ℓ. When γ < 1, its closed form is

            3 d C (2 + |L| + |ℓ|) · (3^ℓ / 2) · 3^{(γ-1)(L+1)} · (1 - 3^{γ-1})^{-2} .
          
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            theorem Algsuperdiff.Section5.Field.cutoffLimitGap_nonneg (d : ℕ) (gamma : ℝ) (C : ℕ) (ell L : ℤ) :
            0 ≤ cutoffLimitGap d gamma C ell L
            theorem Algsuperdiff.Section5.Field.abs_streamField_sub_normalizedCutoff_le_gap {d : ℕ} {gamma : ℝ} {C : ℕ} (hgamma : gamma < 1) (omega : FullSample d gamma) (hC : SharpTailBounded gamma C ↑omega) (ell L : ℤ) {x : HCPolySupport.Vec d} (hx : x ∈ HCPolySupport.openCubeSet (HCPolySupport.originCube d ell)) (i k : Fin d) :
            |streamField omega x i k - normalizedCutoff L (↑omega) x i k| ≤ cutoffLimitGap d gamma C ell L

            The entrywise geometric bound on the origin cube of scale ℓ.

            theorem Algsuperdiff.Section5.Field.abs_streamCoefficient_sub_normalizedCoefficientCutoff_le_gap {d : ℕ} {gamma : ℝ} (nu : ℝ) {C : ℕ} (hgamma : gamma < 1) (omega : FullSample d gamma) (hC : SharpTailBounded gamma C ↑omega) (ell L : ℤ) {x : HCPolySupport.Vec d} (hx : x ∈ HCPolySupport.openCubeSet (HCPolySupport.originCube d ell)) (i k : Fin d) :
            |streamCoefficient nu omega x i k - normalizedCoefficientCutoff nu L (↑omega) x i k| ≤ cutoffLimitGap d gamma C ell L

            The entrywise geometric bound for the coefficient fields. This is the supremum distance ‖a - ã_L‖_∞ that the energy estimate consumes.

            theorem Algsuperdiff.Section5.Field.tendsto_cutoffLimitGap_atTop (d : ℕ) {gamma : ℝ} (hgamma : gamma < 1) (C : ℕ) (ell : ℤ) :
            Filter.Tendsto (fun (L : ℤ) => cutoffLimitGap d gamma C ell L) Filter.atTop (nhds 0)

            The gap vanishes as L → ∞: on every fixed cube the full field is the uniform limit of its normalized cutoffs, at the geometric rate 3^{(γ-1)L} times a weight linear in L.