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LeanPool.Superdiffusion.Algsuperdiff.Section5.Support.LocalizedFinite

LocalizedFinite #

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

The normalized forcing class, the localized quantities, and the good cube event #

Section 5.1 attaches to each cube y + □_n two quantities: the localized error E, comparing the rough-field solution with the comparator in the L^∞ norm, and the localized regularity X, the normalized 1/2-Hölder seminorm of the rough-field solution. Both are suprema over the normalized forcing class [g]_{W^{1/2,∞}(y+□_n)} ≤ 1.

The two quantities read a solution differently, and the difference is the source's. The L^∞ norm is an essential supremum: it is insensitive to a null set, so it is taken of the H¹ functions themselves, with no representative and no side condition that could drop a datum. The 1/2-Hölder seminorm is a pointwise quantity, so it is taken of a continuous representative; the representative is quantified by an infimum, which is the seminorm of the unique continuous representative where one exists and ⊤ where none does. A solution too rough to have a continuous representative therefore makes X infinite instead of contributing nothing.

The values are ℝ≥0∞, so an unbounded family has the value ⊤ rather than collapsing.

Main definitions #

References #

1. The normalized forcing class #

The normalized forcing class of y + □_n: the explicit two-point form of [g]_{W^{1/2,∞}(y+□_n)} ≤ 1.

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    2. Continuous representatives as an explicit witness #

    uRep is a representative of u continuous on y + □_n. Finiteness of its 1/2-Hölder seminorm is deliberately not required: the source takes that seminorm of the continuous representative, and an infinite value there is a value of the localized regularity, not a reason to drop the datum.

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      theorem Algsuperdiff.Section5.Support.isCubeRepresentative_eqOn {d : ℕ} {y : HCPolySupport.Vec d} {n : ℤ} {u u' : HCPolySupport.H1Function (cubeSetAt y n)} {uRep u'Rep : HCPolySupport.Vec d → ℝ} (h : u.toFun =ᵐ[MeasureTheory.volume.restrict (cubeSetAt y n)] u'.toFun) (h₁ : IsCubeRepresentative y n u uRep) (h₂ : IsCubeRepresentative y n u' u'Rep) :
      Set.EqOn uRep u'Rep (cubeSetAt y n)

      Representatives of almost-everywhere equal solutions agree everywhere on the cube. With the almost-everywhere uniqueness of the localized Dirichlet problem this makes every pointwise quantity below independent of the choice of solution and of representative.

      3. The two localized quantities #

      theorem Algsuperdiff.Section5.Support.isCubeRepresentative_unique {d : ℕ} {y : HCPolySupport.Vec d} {n : ℤ} {u : HCPolySupport.H1Function (cubeSetAt y n)} {uRep u'Rep : HCPolySupport.Vec d → ℝ} (h₁ : IsCubeRepresentative y n u uRep) (h₂ : IsCubeRepresentative y n u u'Rep) :
      Set.EqOn uRep u'Rep (cubeSetAt y n)

      Continuous representatives on the open cube are unique. Two representatives of the same H¹ witness agree at every point of the cube.

      The infimum over the continuous representatives of a witness is the value at any one of them. By uniqueness the family is a singleton where it is nonempty, so the infimum records the seminorm of the continuous representative where there is one and ⊤ where there is none.

      The localized error E(y+□_n): the supremum, over the normalized forcing class and over the solutions of the two problems, of σ_n 3^{-n} ‖u_n - v‖_{L^∞(y+□_n)}.

      The L^∞ norm is the essential supremum on the cube, of the H¹ functions themselves. It does not see a null set, so it needs no representative and carries no side condition; both inner families are nonempty by the solvability of the two problems, and the value does not depend on which solutions are chosen by their almost-everywhere uniqueness.

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        The localized regularity X(y+□_n): the supremum, over the normalized forcing class and over the rough-field solutions, of σ_n 3^{-n/2} [u_n]_{C^{0,1/2}(y+□_n)}, the seminorm being that of the continuous representative.

        The representative is quantified by an infimum: it is unique where it exists, so the infimum is its seminorm there, and it is ⊤ where no continuous representative exists.

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          The L^∞ norm of the difference of two witnesses is the supremum norm of the difference of their continuous representatives. This is how the localized error, an essential supremum, is read pointwise where representatives exist.

          4. The good cube event #

          The good cube event 𝒢(y+□_n, ε): the localized error does not exceed ε and the localized regularity does not exceed 2 Creg.

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            6. Uniform bounds on the normalized class #

            A uniform supremum bound for the representatives of the comparator, over the whole normalized forcing class.

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