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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Multiscale.WaveThirdTerm

WaveThirdTerm #

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

e.wave.influence.bound, the printed three-term right-hand side #

This module re-bases the lower leg of the node p.bfA.multiscalebound, the wave-oscillations step (ABK26, proof of Proposition p.bfA.multiscalebound, Step 2) onto the manuscript's own cube-averaged L⁴(cu_{n-k}) amplitude, and thereby splits the merged leg Provider.Multiscale.waveLowerTerm into the display's printed first and third terms. The printed display reads

  c gamma^{1/2} 3^{-gamma(n-k-h_k)} ||k_L - k_{n-k-h_k}||_{L^4bar(cu_{n-k})}
     <= gamma^{1/2} hsep^{1/2} + O_{Gamma_2}(gamma^{1/2}(L-l)^{1/2} 3^{gamma(L-l)})
        + O_{Gamma_{2(1+sigma)^{-1}}}(sigma^{-1} 3^{-(d/8)k_0}) ,

with l = n - k - h_k + hsep = n - k - ceil(b(1-b)^{-1}k) - k_0 deterministic; the parameters are named ell = l and lout = n - k here, so lout - ell = ceil(b(1-b)^{-1}k) + k_0 is exactly the manuscript's gain exponent, and in particular lout - ell >= k_0.

The partial reversal, and why it is needed #

Provider/Multiscale/WaveOscillations.lean provides the display in the merged two-leg form, at the uniform (L^infinity) per-layer gauge of e.km.kn.Linfty, and its section "Divergences from the printed right-hand side, recorded honestly" (its paragraph) records the reason the merged first and third terms cannot be split there: no uniform gauge can carry the 3^{-(d/8)k_0} gain. That gain is a cube-averaging phenomenon, and a bound on the supremum of a stationary nondegenerate field over a growing cube cannot decay in the cube size (the proved e.km.kn.Linfty amplitude in fact G like (lout-ell+i)^{1/2}). Splitting the third term therefore requires reinstating the manuscript's L⁴ Minkowski step for the lower leg — a partial reversal of form choice, for the lower leg only.

This module performs that reversal and nothing more:

The assembly, and why the proved truncated-sum core suffices #

The manuscript assembles over 1_{{hsep = h}}; this repository assembles over 1_{{i < hsep}}, and the proved WaveOscillationsCore.isBigOWith_gammaSigma_truncatedSum is exactly that assembly. No head+tail variant of it is needed, because of one elementary observation: writing X_h for the nonnegative Gamma_2 part at depth h,

  X_{hsep}  <=  sum_{i < hsep} X_{i+1}                (waveL4Tail_le_range_sum)

— for hsep = H >= 1 the term i = H-1 of the right-hand sum is X_H, and for hsep = 0 both sides vanish because the empty increment has zero mass. The deterministic head needs no summation at all: it is evaluated at the single random depth hsep, which is what produces the printed hsep^{1/2} (summing per-layer heads would have produced the weaker hsep). The shift by one keeps every summand at a strictly positive depth, where e.km.kn.Lp's own binder n < m holds; that is why the proved core's 0 < a i is available.

Divergences from the printed right-hand side, recorded honestly #

Main definitions #

Main results #

References #

Deterministic preliminaries on the layer split #

Minkowski's inequality for the cube L^p norm #

The step reinstated by the partial reversal of form choice: the manuscript's own L⁴(cu_{n-k}) triangle inequality.

theorem Algsuperdiff.Section3.Provider.Multiscale.streamIncrementLpNorm_add_le {d : ℕ} {p : ℝ} (hp : 1 ≤ p) (l : ℤ) {a b c : ℤ} (hab : a ≤ b) (hbc : b ≤ c) (omega : Cutoff.ShellSeq d) :

Minkowski's inequality for the volume-normalized L^p norm on the origin cube. This is the manuscript's own L⁴(cu_{n-k}) triangle inequality, reinstated by the partial reversal.

The L^p ≤ L^∞ passage on the observation cube #

Measurability of the cube mass in the sample #

The bookkeeping demands measurable summands. At the uniform gauge that was automatic; the re-based leg needs the cube mass itself to be a random variable, which is Fubini--Tonelli applied to the jointly measurable density.

The volume-normalized cube L^p mass is a random variable.

The empty increment #

The p = 4 carriers of the re-based lower leg #

The manuscript's own amplitude is the cube-averaged L⁴(cu_{n-k}) norm of the increment, i.e. streamIncrementLpNorm 4 lout at the observation cube.

noncomputable def Algsuperdiff.Section3.Provider.Multiscale.waveL4Head {d : ℕ} (M : ABKModel d) (ell : ℤ) (h : ℕ) :

The deterministic head of e.km.kn.Lp at p = 4, at the lower increment k_ell - k_{ell-h} (: C h^{1/2} 3^{gamma ell}).

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    noncomputable def Algsuperdiff.Section3.Provider.Multiscale.waveL4Tail {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (h : ℕ) (omega : Cutoff.CutoffSample d) :

    The random part of e.km.kn.Lp at p = 4, at the lower increment.

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      noncomputable def Algsuperdiff.Section3.Provider.Multiscale.waveL4TailScale {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (h : ℕ) :

      The Gamma_2 scale of the random part: the p = 4 root of the mass-level gain, i.e. the printed C gamma^{-1/2} 3^{gamma ell} 3^{-(d/8)(lout-ell)}.

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        The dimensional constant of the deterministic head at p = 4.

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          theorem Algsuperdiff.Section3.Provider.Multiscale.waveL4Tail_nonneg {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (h : ℕ) (omega : Cutoff.CutoffSample d) :
          0 ≤ waveL4Tail M lout ell h omega
          theorem Algsuperdiff.Section3.Provider.Multiscale.waveL4Tail_zero {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (omega : Cutoff.CutoffSample d) :
          waveL4Tail M lout ell 0 omega = 0
          theorem Algsuperdiff.Section3.Provider.Multiscale.waveL4TailScale_pos {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (i : ℕ) :
          0 < waveL4TailScale M lout ell (i + 1)

          The closed form of the deterministic head at p = 4: the manuscript's C min{gamma^{-1/2}, h^{1/2}} 3^{gamma ell}.

          theorem Algsuperdiff.Section3.Provider.Multiscale.waveL4TailScale_eq {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (h : ℕ) :
          waveL4TailScale M lout ell h = Stream.streamIncrementLpGainConst d (2 / 4) ^ 4⁻¹ * 3 ^ (-(↑d / 8) * (↑lout - ↑ell)) * waveL4Head M ell h

          The closed form of the Gamma_2 scale at p = 4: the head times the printed large-scale gain 3^{-(d/8)(lout-ell)} (at `lout - ell = b(1-b)^{-1}k

          • k_0`).
          theorem Algsuperdiff.Section3.Provider.Multiscale.streamIncrementLpNorm_le_waveL4Head_add_waveL4Tail {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (h : ℕ) (omega : Cutoff.CutoffSample d) :
          Stream.streamIncrementLpNorm 4 lout (ell - ↑h) ell ↑omega ≤ waveL4Head M ell h + waveL4Tail M lout ell h omega

          The head and tail at p = 4 dominate the manuscript's L⁴ amplitude of the lower increment.

          Summability of the re-based tail series #

          The three legs of the printed display #

          noncomputable def Algsuperdiff.Section3.Provider.Multiscale.waveHeadTerm {d : ℕ} (M : ABKModel d) (m : ℤ) (E b : ℝ) (ell : ℤ) (omega : Cutoff.CutoffSample d) :

          The first printed term of e.wave.influence.bound: the deterministic head of e.km.kn.Lp at the random depth hsep, carried by the prefactor gamma^{1/2} 3^{-gamma ell}.

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            noncomputable def Algsuperdiff.Section3.Provider.Multiscale.waveTailTerm {d : ℕ} (M : ABKModel d) (m : ℤ) (E b : ℝ) (lout ell : ℤ) (omega : Cutoff.CutoffSample d) :

            The third printed term of e.wave.influence.bound: the Gamma_2-bounded random part of e.km.kn.Lp at the random depth, decomposed over 1_{{i < hsep}} per form choice.

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              noncomputable def Algsuperdiff.Section3.Provider.Multiscale.waveTailScale {d : ℕ} (M : ABKModel d) (b sigma sigma2 : ℝ) (lout ell : ℤ) :

              The Gamma_{2 sigma_2/(2+sigma_2)} scale of the third term: an explicit convergent series, the termwise e.multGammasig product of the re-based per-depth Gamma_2 scale with the e.indc.O.sigma indicator scale.

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                noncomputable def Algsuperdiff.Section3.Provider.Multiscale.waveTailGainScale (d : ℕ) (b sigma sigma2 : ℝ) (lout ell : ℤ) :

                The printed shape of the third term's scale: a dimensional constant, the manuscript's C b^{-1} sigma^{-1} indicator series, and the printed large-scale gain 3^{-(d/8)(lout-ell)} as an explicit factor. Note that gamma^{-1/2} of the manuscript's amplitude has cancelled against the gamma^{1/2} of the display's prefactor.

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                  theorem Algsuperdiff.Section3.Provider.Multiscale.waveHeadTerm_nonneg {d : ℕ} (M : ABKModel d) (m : ℤ) (E b : ℝ) (ell : ℤ) (omega : Cutoff.CutoffSample d) :
                  0 ≤ waveHeadTerm M m E b ell omega
                  theorem Algsuperdiff.Section3.Provider.Multiscale.waveTailTerm_nonneg {d : ℕ} (M : ABKModel d) (m : ℤ) (E b : ℝ) (lout ell : ℤ) (omega : Cutoff.CutoffSample d) :
                  0 ≤ waveTailTerm M m E b lout ell omega
                  theorem Algsuperdiff.Section3.Provider.Multiscale.waveHeadTerm_le {d : ℕ} (M : ABKModel d) (m : ℤ) (E b : ℝ) (ell : ℤ) (omega : Cutoff.CutoffSample d) :
                  waveHeadTerm M m E b ell omega ≤ waveL4HeadConst d * (√M.gamma * √↑(Percolation.hsep M m E b omega))

                  The printed shape of the first term: the head term is at most C(d) gamma^{1/2} hsep^{1/2}, the manuscript's gamma^{1/2} hsep^{1/2} with the dimensional constant of e.k.ell.upscales.

                  theorem Algsuperdiff.Section3.Provider.Multiscale.waveL4Tail_le_range_sum {d : ℕ} (M : ABKModel d) (lout ell : ℤ) (h : ℕ) (omega : Cutoff.CutoffSample d) :
                  waveL4Tail M lout ell h omega ≤ ∑ i ∈ Finset.range h, waveL4Tail M lout ell (i + 1) omega

                  The random-depth tail is dominated by its own truncated layer series: the bookkeeping, in the shifted form that keeps every summand at a strictly positive depth.

                  theorem Algsuperdiff.Section3.Provider.Multiscale.isBigOWith_gammaSigma_waveTailTerm_of_gates {d : ℕ} (M : ABKModel d) {m : ℤ} {E sigma sigma2 b : ℝ} (hd2 : 2 ≤ d) (hE : 1 ≤ E) (hS : Frozen.Section3.inductionState M (m - 1) ⟨E, hE⟩) (hsigma0 : 0 < sigma) (hsigma : sigma ≤ 1 / 2) (hsigma2 : 0 < sigma2) (hb0 : 0 < b) (hb1 : b ≤ 1 / 8) (hEexp : Real.exp (Percolation.badClustersConst d / sigma) ≤ E) (hE4 : 4 ≤ E) (hunit : BadEvents.unitGate M) (hgamma20 : M.gamma ≤ 1 / 20) (hinvSq : E⁻¹ ^ 2 ≤ Disorder.cstar M) (hEb : Percolation.badClustersConst d / b ≤ E) (hgammaE : M.gamma ≤ E ^ (-5)) (lout ell : ℤ) :
                  HCPolySupport.IndependentSums.IsBigOWith (↑(Cutoff.cutoffSampleLaw M)) (HCPolySupport.IndependentSums.gammaSigma (2 * sigma2 / (2 + sigma2))) (waveTailTerm M m E b lout ell) (waveTailScale M b sigma sigma2 lout ell)

                  The Gamma_{2 sigma_2/(2+sigma_2)} bound on the third term from the direct bad-event gates. This is the premise-minimal form used by the exact wave endpoint; in particular it does not assume the stronger preliminary package badClustersConst d ≤ E * cstar M.

                  theorem Algsuperdiff.Section3.Provider.Multiscale.waveTailScale_le_waveTailGainScale {d : ℕ} (M : ABKModel d) {b sigma sigma2 : ℝ} (hb : 0 < b) (hsigma2 : 0 < sigma2) (hsigma : 0 < 1 - sigma) (lout ell : ℤ) :
                  waveTailScale M b sigma sigma2 lout ell ≤ waveTailGainScale d b sigma sigma2 lout ell

                  The third term's scale carries the printed 3^{-(d/8)k_0} decay. The gamma^{1/2} of the display's prefactor cancels the gamma^{-1/2} of the amplitude, and the growing factor min{gamma^{-1/2}, h^{1/2}} is capped, leaving the geometric gain 3^{-(d/8)(lout-ell)} = 3^{-(d/8)(b(1-b)^{-1}k + k_0)} as an explicit factor.

                  The generalized three-term provider #