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LeanPool.ViscositySolutionTheory.AleksandrovDifferentiability.Analysis.Directional.EstimateDefs

Ported for Lean Pool: imports relocated and code adapted to Lean/Mathlib v4.34.0.

Assembly from directional quadratic estimates #

This file specializes the project estimate-assembly lemmas to Hessian candidates reconstructed from finitely many directional coefficients. It is a small bridge between future slicing data and the existing SecondOrderDifferentiableAEOn interface.

def AleksandrovDifferentiability.MixedDirectionalQuadraticEstimateAt {E : Type u_1} [NormedAddCommGroup E] [InnerProductSpace ℝ E] {ι : Type u_2} (D : Finset ι) (v : ι → E) (u : E → ℝ) (x : E) :

Pointwise local quadratic estimate data whose Hessian candidate is assembled from a finite matrix of directional coefficients.

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    Punctured normalized quotient version of MixedDirectionalQuadraticEstimateAt.

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      Pointwise local quadratic estimate data whose Hessian candidate is assembled from pure directional coefficients q i and pairwise-sum coefficients r i j by polarization. This is a closer target for the later finite slicing reconstruction than an arbitrary coefficient matrix.

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        Punctured normalized quotient version of PolarizedMixedDirectionalQuadraticEstimateAt.

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          def AleksandrovDifferentiability.DirectionalSliceEstimateAt {E : Type u_1} [NormedAddCommGroup E] [InnerProductSpace ℝ E] {ι : Type u_2} (D : Finset ι) (v : ι → E) (u : E → ℝ) (x : E) :

          Pointwise finite slicing target: scalar quadratic estimate data holds for the line restriction in each selected direction and each pairwise sum direction. This is the finite direction list needed by polarization-based Hessian reconstruction.

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            def AleksandrovDifferentiability.CompatibleDirectionalSliceEstimateAt {E : Type u_1} [NormedAddCommGroup E] [InnerProductSpace ℝ E] {ι : Type u_2} (D : Finset ι) (v : ι → E) (u : E → ℝ) (x : E) :

            Finite slicing target with compatible first-order data: all selected line estimates use the directional slopes coming from one ambient vector p. The coefficients q and r are the pure and pairwise-sum quadratic coefficients used by the polarization reconstruction.

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              Compatible finite slicing data with pairwise-sum coefficients symmetric on the selected finite direction set. This is the coefficient shape expected by the polarized reconstruction algebra.

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                def AleksandrovDifferentiability.DirectionalSliceQuotientEstimateAt {E : Type u_1} [NormedAddCommGroup E] [InnerProductSpace ℝ E] {ι : Type u_2} (D : Finset ι) (v : ι → E) (u : E → ℝ) (x : E) :

                Punctured normalized quotient version of DirectionalSliceEstimateAt.

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                  Punctured normalized quotient version of CompatibleDirectionalSliceEstimateAt.

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                    Punctured normalized quotient version of SymmetricCompatibleDirectionalSliceEstimateAt.

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                      Points carrying mixed-directional quadratic estimate data.

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                        Points carrying punctured normalized mixed-directional quadratic estimate data.

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                          Points carrying punctured normalized polarized mixed-directional quadratic estimate data.

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                            def AleksandrovDifferentiability.directionalSliceEstimateSet {E : Type u_1} [NormedAddCommGroup E] [InnerProductSpace ℝ E] {ι : Type u_2} (D : Finset ι) (v : ι → E) (u : E → ℝ) :
                            Set E

                            Points carrying scalar estimate data on the finite list of selected directions and their pairwise sums.

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                              Points carrying compatible scalar estimate data on the finite list of selected directions and their pairwise sums.

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                                Points carrying symmetric compatible scalar estimate data on the finite list of selected directions and their pairwise sums.

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                                  Points carrying scalar quotient-estimate data on the finite list of selected directions and their pairwise sums.

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                                    Points carrying compatible scalar quotient-estimate data on the finite list of selected directions and their pairwise sums.

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                                      Points carrying symmetric compatible scalar quotient-estimate data on the finite list of selected directions and their pairwise sums.

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                                        Points where the line restriction in one fixed direction has scalar quadratic estimate data at the base parameter. This is the single-direction output expected from the later Fubini step.

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                                          Points where the line restriction in one fixed direction has punctured normalized scalar quotient-estimate data at the base parameter.

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