LargeCubeW1Inf #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The summed derivative-stream bound: ABK26's e.W.1.inf.bound #
ABK26 states, for l, m, n ∈ ℤ with n ≤ min{m, l},
∑_{k = n+1}^m (3^k ‖∇j_k‖_{L∞(cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(cu_l)}) ≤ O_{Γ₂}(C (l-n)^{1/2} min{γ^{-1}, m-n} 3^{γm}).
The source proof has two regimes. For k < l the display
e.W1inf.jL.bound.smaller covers cu_l by translates of cu_k and applies the
maximum lemma l.maximums.Gamma.s to the single-shell derivative display
e.nabla.jk.O, which costs the amplitude factor (log N)^{1/2} ≃ (l-k)^{1/2}.
For k ≥ l the cube cu_l is contained in the own scale cube cu_k, so
e.nabla.jk.O applies with no covering loss. The two regimes are then summed
with the Γ₂ triangle inequality against the geometric series ∑_{k ∈ (n,m]} 3^{γk} ≤ C min{γ^{-1}, m-n} 3^{γm} (e.geo.part.sum).
Deviations from the source, all absorbed by its C(d) #
- The covering family is the one proved for
e.km.kn.Linfty(subcubeShifts), whose lattice spacing is3^{k-1}rather than3^k; this makes the open cover exact and multiplies the count by3^d. - The amplitude factor of the proved maximum lemma is
(3 max{1, log N})^{1/2}rather than(log N)^{1/2}. - Since the maximizing translate of the first-derivative norm need not be the
maximizing translate of the second-derivative norm, the covering step is
applied to each of the two gauges separately, costing a factor
2. - The source hypothesis
n ≤ lis not needed and is dropped: forl < nevery shell in(n, m]is estimated in the own-scale regime and the corrected factor(1 ∨ (l-n))^{1/2}equals1. The local proof is therefore strictly stronger than the (corrected) source statement on that side.
Main definitions #
Algsuperdiff.Section3.Provider.Stream.largeCubeDerivGauge: the source summand3^k ‖∇j_k‖_{L∞(cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(cu_l)}.Algsuperdiff.Section3.Provider.Stream.shellDerivGaugeCover: the maximum of the translated own-scale derivative gauges over the covering family.
Main results #
Algsuperdiff.Section3.Provider.Stream.isBigOWith_gammaSigma_largeCubeDerivGauge_lt: ABK26'se.W1inf.jL.bound.smaller.Algsuperdiff.Section3.Provider.Stream.isBigOWith_gammaSigma_largeCubeDerivGaugeSum: ABK26'se.W.1.inf.bound, in its corrected form.
References #
- ABK26,
e.W.1.inf.bound. - ABK26,
e.W1inf.jL.bound.smaller. - ABK26,
e.nabla.jk.O. - ABK26,
l.maximums.Gamma.s. - ABK26,
e.geo.part.sum.
Elementary rewrites #
The source summand #
The summand of ABK26's e.W.1.inf.bound:
3^k ‖∇j_k‖_{L∞(cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(cu_l)}, read on the observation
cube cu_l and at the shell index k.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The exact factorization of the summand through the own-scale gauge weight.
The covering maximum #
The maximum, over the proved covering family of cu_l by translates of cu_k,
of the translated own-scale derivative gauge ‖∇j‖_{L∞(z + cu_k)} + 3^k ‖∇²j‖_{L∞(z + cu_k)}.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The covering bound for the first-derivative norm: every point of cu_l
lies in one of the translated cubes z + cu_k, and the translated shell has
the same derivative there.
The covering bound for the weighted second-derivative norm.
The deterministic half of e.W1inf.jL.bound.smaller: the source summand on
cu_l is dominated by twice the weighted covering maximum.
The probabilistic half of e.W1inf.jL.bound.smaller: the covering maximum
obeys the single-shell Γ₂ estimate e.nabla.jk.O with the amplitude factor
supplied by the proved cardinality-free maximum lemma.
e.W1inf.jL.bound.smaller #
The dimensional constant of ABK26's e.W1inf.jL.bound.smaller.
Equations
Instances For
ABK26's e.W1inf.jL.bound.smaller: for k < l,
3^k ‖∇j_k‖_{L∞(cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(cu_l)} ≤ O_{Γ₂}(C (l-k)^{1/2} 3^{γk}),
with the explicit dimensional constant 2 √(largeCubeLogConst · d).
The uniform per-shell estimate #
The dimensional constant covering both regimes of the source proof.
Equations
Instances For
The per-shell estimate uniform in the two regimes of the source proof: for
n < k the source summand on cu_l is O_{Γ₂}(C (1 ∨ (l-n))^{1/2} 3^{γk}).
For k < l this is e.W1inf.jL.bound.smaller together with l - k ≤ l - n;
for l ≤ k it is e.nabla.jk.O on the smaller cube cu_l ⊆ cu_k, whose
amplitude carries no covering factor at all.
e.W.1.inf.bound #
The dimensional constant of ABK26's e.W.1.inf.bound.
Equations
Instances For
The geometric series of the source amplitudes:
∑_{k ∈ (n,m]} 3^{γk} ≤ (7 / log 3) min{γ^{-1}, m-n} 3^{γm}. This is
e.geo.part.sum at the halved exponent.
ABK26's e.W.1.inf.bound, in its corrected form: for every n ≤ m,
∑_{k ∈ (n,m]} (3^k ‖∇j_k‖_{L∞(cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(cu_l)}) ≤ O_{Γ₂}(C (1 ∨ (l-n))^{1/2} min{γ^{-1}, m-n} 3^{γm}).
The source hypothesis n ≤ l is dropped: it is not needed, since for l < n
every shell of the range is estimated on the cube cu_l ⊆ cu_k at its own
scale.