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

Minimal #

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

The analytic minimal resolvent on the cubic exhaustion #

This file transports the bounded-domain analytic Dirichlet resolvents to Vec d by zero extension and takes their pointwise supremum. All coefficient hypotheses are imposed on the whole space and restricted to the individual cubes in the definitions below.

The coefficient and regularity data used by the whole-space cubic exhaustion. The field has the form a = nu I + k, where nu > 0 and k is continuous and skew with arbitrary size; no whole-space small-contrast hypothesis is included.

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    Continuity of the arbitrary-size skew part restricted to an exhaustion cube.

    Continuity of the skew part on the closed box underlying an exhaustion cube. Boundary regularity uses this carrier rather than the open cube.

    The compactness-supplied upper ellipticity constant on the mth cube.

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      The mth cube is elliptic with lower constant nu; continuity on its compact closure supplies the upper constant.

      The analytic Dirichlet resolvent on the mth cube, extended by zero to the whole space.

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        The nonnegative extended-real form of a local analytic resolvent.

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          The analytic minimal resolvent of a nonnegative bounded measurable observable is the pointwise supremum of its zero-extended cube resolvents.

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            The real form of the analytic minimal resolvent, defined by positive and negative parts.

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              A local analytic cube resolvent is pointwise nonnegative on nonnegative data.

              The zero-extended analytic Dirichlet resolvents increase with the cubic exhaustion on nonnegative data.

              At each point, the local analytic resolvents form a monotone sequence.

              A zero-extended cube resolvent is measurable on the ambient space.

              On its defining cube, the zero-extended analytic resolvent is continuous.

              On its defining cube, the analytic representative agrees almost everywhere with the L² resolvent class.

              The analytic minimal resolvent is measurable as a pointwise supremum.

              theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticCubeResolvent_mono {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) (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.analyticCubeResolvent mu f hf hfD m x ≤ A.analyticCubeResolvent mu g hg hgE m x

              A local analytic cube resolvent preserves pointwise order between bounded measurable data.

              theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticCubeResolvent_add {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) (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.analyticCubeResolvent mu (fun (y : HCPolySupport.Vec d) => f y + g y) ⋯ hfg m x = A.analyticCubeResolvent mu f hf hfD m x + A.analyticCubeResolvent mu g hg hgE m x

              The local analytic cube resolvent is additive on nonnegative bounded measurable data.

              theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticCubeResolventENN_add {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) (mu : ↑MarkovProcess.Semigroup.PositiveShift) {f g : HCPolySupport.Vec d → ℝ} (hf : Measurable f) (hg : Measurable g) (hf0 : ∀ (x : HCPolySupport.Vec d), 0 ≤ f x) (hg0 : ∀ (x : HCPolySupport.Vec d), 0 ≤ g x) {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.analyticCubeResolventENN mu (fun (y : HCPolySupport.Vec d) => f y + g y) ⋯ hfg m x = A.analyticCubeResolventENN mu f hf hfD m x + A.analyticCubeResolventENN mu g hg hgE m x

              The extended-real local resolvent is additive on nonnegative data.

              theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticMinimalResolvent_add {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) (mu : ↑MarkovProcess.Semigroup.PositiveShift) {f g : HCPolySupport.Vec d → ℝ} (hf : Measurable f) (hg : Measurable g) (hf0 : ∀ (x : HCPolySupport.Vec d), 0 ≤ f x) (hg0 : ∀ (x : HCPolySupport.Vec d), 0 ≤ g x) {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) (x : HCPolySupport.Vec d) :
              A.analyticMinimalResolvent mu (fun (y : HCPolySupport.Vec d) => f y + g y) ⋯ hfg x = A.analyticMinimalResolvent mu f hf hfD x + A.analyticMinimalResolvent mu g hg hgE x

              The analytic minimal resolvent is additive on nonnegative bounded measurable observables.

              The local analytic cube resolvent obeys the uniform resolvent bound.

              The analytic minimal resolvent of nonnegative data satisfies the sharp uniform bound inherited from the bounded domains.

              The bounded analytic minimal resolvent never takes the value infinity.

              theorem DivergenceFormProcess.Form.WholeSpaceAnalyticData.analyticCubeResolvent_resolvent_identity {d : ℕ} [NeZero d] (A : WholeSpaceAnalyticData d) (mu nu : ↑MarkovProcess.Semigroup.PositiveShift) {f : HCPolySupport.Vec d → ℝ} (hf : Measurable f) {D : ℝ} (hD : 0 ≤ D) (hfD : ∀ (x : HCPolySupport.Vec d), |f x| ≤ D) (m : ℕ) (x : HCPolySupport.Vec d) :
              A.analyticCubeResolvent mu f hf hfD m x = A.analyticCubeResolvent nu f hf hfD m x + (↑nu - ↑mu) * A.analyticCubeResolvent nu (A.analyticCubeResolvent mu f hf hfD m) ⋯ ⋯ m x

              The zero-extended analytic resolvent on one cube satisfies the resolvent identity pointwise on the ambient space.