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LeanPool.Superdiffusion.Algsuperdiff.StochasticProcess.Common.DivergenceForm.WholeSpace.PenalizedMinimal

PenalizedMinimal #

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

Minimal whole-space resolvents with exterior penalization #

For an open bounded convex cube V, the potential is n on Vᶜ and zero on V. The local potential resolvents increase along the cubic exhaustion, so their pointwise supremum defines the whole-space penalized resolvent.

The exterior potential is bounded and nonnegative on every exhaustion cube.

The local potential resolvent on an exhaustion cube, extended by zero.

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    The extended-real local penalized resolvent.

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      The minimal whole-space exterior-penalized resolvent.

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        Local penalized cube resolvents are nonnegative on nonnegative data.

        theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticPenalizedCubeResolvent_mono {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) {V : Set (HCPolySupport.Vec d)} (hV : IsOpen V) (n : ℕ) (mu : ↑MarkovProcess.Semigroup.PositiveShift) {f g : HCPolySupport.Vec d → ℝ} (hf : Measurable f) (hg : Measurable g) {D E : ℝ} (hfD : ∀ (x : HCPolySupport.Vec d), |f x| ≤ D) (hgE : ∀ (x : HCPolySupport.Vec d), |g x| ≤ E) (hfg : ∀ (x : HCPolySupport.Vec d), f x ≤ g x) (m : ℕ) (x : HCPolySupport.Vec d) :
        A.analyticPenalizedCubeResolvent hV n mu f hf hfD m x ≤ A.analyticPenalizedCubeResolvent hV n mu g hg hgE m x

        A local penalized cube resolvent preserves pointwise order of bounded measurable data.

        The local exterior-penalized resolvents increase with the exhaustion.

        At each point the local penalized resolvents form a monotone sequence.

        theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticPenalizedCubeResolvent_smul {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) {V : Set (HCPolySupport.Vec d)} (hV : IsOpen V) (n : ℕ) (mu : ↑MarkovProcess.Semigroup.PositiveShift) (c : ℝ) {f : HCPolySupport.Vec d → ℝ} (hf : Measurable f) {D : ℝ} (hfD : ∀ (x : HCPolySupport.Vec d), |f x| ≤ D) (hcf : ∀ (x : HCPolySupport.Vec d), |c * f x| ≤ |c| * D) (m : ℕ) (x : HCPolySupport.Vec d) :
        A.analyticPenalizedCubeResolvent hV n mu (fun (y : HCPolySupport.Vec d) => c * f y) ⋯ hcf m x = c * A.analyticPenalizedCubeResolvent hV n mu f hf hfD m x

        Scalar multiplication commutes with one local exterior-penalized resolvent.

        A zero-extended local penalized resolvent is measurable.

        A local penalized representative is continuous on its defining cube.

        On its cube, the local representative agrees almost everywhere with the potential resolvent class.

        The minimal penalized resolvent is measurable.

        Local penalized resolvents obey the maximum-principle bound.

        theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticPenalizedResolvent_le {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) {V : Set (HCPolySupport.Vec d)} (hV : IsOpen V) (n : ℕ) (mu : ↑MarkovProcess.Semigroup.PositiveShift) {f : HCPolySupport.Vec d → ℝ} (hf : Measurable f) (hf0 : ∀ (x : HCPolySupport.Vec d), 0 ≤ f x) {D : ℝ} (hD : 0 ≤ D) (hfD : ∀ (x : HCPolySupport.Vec d), |f x| ≤ D) (x : HCPolySupport.Vec d) :
        A.analyticPenalizedResolvent hV n mu f hf hfD x ≤ ENNReal.ofReal (D / ↑mu)

        The minimal penalized resolvent inherits the sharp uniform bound.

        theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.tendsto_analyticPenalizedCubeResolvent {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) {V : Set (HCPolySupport.Vec d)} (hV : IsOpen V) (n : ℕ) (mu : ↑MarkovProcess.Semigroup.PositiveShift) {f : HCPolySupport.Vec d → ℝ} (hf : Measurable f) (hf0 : ∀ (x : HCPolySupport.Vec d), 0 ≤ f x) {D : ℝ} (hD : 0 ≤ D) (hfD : ∀ (x : HCPolySupport.Vec d), |f x| ≤ D) (x : HCPolySupport.Vec d) :
        Filter.Tendsto (fun (m : ℕ) => A.analyticPenalizedCubeResolvent hV n mu f hf hfD m x) Filter.atTop (nhds (A.analyticPenalizedResolvent hV n mu f hf hfD x).toReal)

        The local penalized representatives converge to the real value of their extended-real supremum.

        theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.toReal_analyticPenalizedResolvent_smul {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) {V : Set (HCPolySupport.Vec d)} (hV : IsOpen V) (n : ℕ) (mu : ↑MarkovProcess.Semigroup.PositiveShift) {c : ℝ} (hc : 0 ≤ c) {f : HCPolySupport.Vec d → ℝ} (hf : Measurable f) (hf0 : ∀ (x : HCPolySupport.Vec d), 0 ≤ f x) {D : ℝ} (hD : 0 ≤ D) (hfD : ∀ (x : HCPolySupport.Vec d), |f x| ≤ D) (x : HCPolySupport.Vec d) :
        (A.analyticPenalizedResolvent hV n mu (fun (y : HCPolySupport.Vec d) => c * f y) ⋯ ⋯ x).toReal = c * (A.analyticPenalizedResolvent hV n mu f hf hfD x).toReal

        Nonnegative scalar multiplication commutes with the real value of the minimal exterior-penalized resolvent.

        theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticPenalizedCubeResolvent_add {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) {V : Set (HCPolySupport.Vec d)} (hV : IsOpen V) (n : ℕ) (mu : ↑MarkovProcess.Semigroup.PositiveShift) {f g : HCPolySupport.Vec d → ℝ} (hf : Measurable f) (hg : Measurable g) {D E : ℝ} (hfD : ∀ (x : HCPolySupport.Vec d), |f x| ≤ D) (hgE : ∀ (x : HCPolySupport.Vec d), |g x| ≤ E) (hfg : ∀ (x : HCPolySupport.Vec d), |f x + g x| ≤ D + E) (m : ℕ) (x : HCPolySupport.Vec d) :
        A.analyticPenalizedCubeResolvent hV n mu (fun (y : HCPolySupport.Vec d) => f y + g y) ⋯ hfg m x = A.analyticPenalizedCubeResolvent hV n mu f hf hfD m x + A.analyticPenalizedCubeResolvent hV n mu g hg hgE m x

        A local penalized resolvent is additive.