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LeanPool.Superdiffusion.Algsuperdiff.Section5.Support.SolutionSelector

SolutionSelector #

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

The selected solution, the closed cube, and evaluation by ball averages #

Three deterministic ingredients of the measurability of the localized quantities.

The selected solution. The rough-field Dirichlet problem on y + □_n has a solution for every sample and every Hölder forcing field; solutionAt names one, and by the almost-everywhere uniqueness of the problem any other choice differs from it on a null set only, so every quantity built from its continuous representative is independent of the choice.

The closed cube. The coefficient field is measured in the supremum norm on a compact set; closedCubeAt y n is the closed cube of side 3^n centred at y, which contains y + □_n, is compact, and sits inside a centred open cube of large enough scale. clampTo is the coordinatewise retraction onto it.

Evaluation by ball averages. A function continuous on an open set is the limit of its averages over shrinking balls, and averages depend only on the almost-everywhere class. This is what turns pointwise evaluation of a continuous representative into a countable limit of integrals of the H¹ witness.

References #

1. The selected solution #

A solution of the rough-field Dirichlet problem on y + □_n.

The solution is obtained by choice from an existence statement whose input includes the bound Kg, although Kg does not constrain the solution: two admissible bounds for the same forcing field may name syntactically different solutions. Every consumer must therefore pass through the almost-everywhere uniqueness of the Dirichlet solution, never through equality of selections.

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    2. The closed cube #

    The closed cube of side 3^n centred at y.

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      The coordinatewise retraction onto the closed cube.

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        3. Evaluation by ball averages #

        theorem Algsuperdiff.Section5.Support.tendsto_setAverage_ball_of_continuousOn {d : ℕ} {U : Set (HCPolySupport.Vec d)} (hU : IsOpen U) {f : HCPolySupport.Vec d → ℝ} (hcont : ContinuousOn f U) {x : HCPolySupport.Vec d} (hx : x ∈ U) {r : ℕ → ℝ} (hrpos : ∀ (k : ℕ), 0 < r k) (hr0 : Filter.Tendsto r Filter.atTop (nhds 0)) :
        Filter.Tendsto (fun (k : ℕ) => ⨍ (z : HCPolySupport.Vec d) in Metric.ball x (r k), f z) Filter.atTop (nhds (f x))

        A function continuous on an open set is the limit of its averages over shrinking balls centred at a point of the set.