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LeanPool.AnomalousDiffusion.AVenhance.Infra.Classical.GalerkinGenerator

Finite Fourier generator identities used in the classical Galerkin estimates.

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Use normalized Haar measure on the unit circle for periodic integrals.

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    Closed spatial unit cell used for compactness and periodic integration.

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      Real Fourier mode with the finite-dimensional Galerkin indexing.

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        Spatial gradient of a real Fourier mode with Galerkin indexing.

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          theorem AVenhance.Infra.Classical.GalerkinGenerator.generator_vecDot_sum_smul_right {ι : Type u_1} [Fintype ι] (v : Homogenization.Vec 2) (a : ι → ℝ) (g : ι → Homogenization.Vec 2) :
          Homogenization.vecDot v (∑ i : ι, a i • g i) = ∑ i : ι, a i * Homogenization.vecDot v (g i)
          theorem AVenhance.Infra.Classical.GalerkinGenerator.generator_vecDot_sum_smul_left {ι : Type u_1} [Fintype ι] (v : Homogenization.Vec 2) (a : ι → ℝ) (g : ι → Homogenization.Vec 2) :
          Homogenization.vecDot (∑ i : ι, a i • g i) v = ∑ i : ι, a i * Homogenization.vecDot (g i) v

          Multiplication by a bounded smooth periodic function followed by Fourier projection is bounded by the multiplier's uniform norm. The finite Fourier synthesis has exactly the coefficient-space L² norm.

          The real Fourier projection as a continuous linear map from torus L² to coefficients.

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            A continuous integer-periodic scalar function is bounded on the whole space.

            The torus representative of a continuous periodic scalar is square-integrable.

            Fourier projection of a smooth periodic scalar is bounded in coefficient norm by any global uniform bound for the scalar.

            theorem AVenhance.Infra.Classical.classicalWordDerivative_finsetSum {ι : Type u_1} (s : Finset ι) (f : ι → Homogenization.Vec 2 → ℝ) (hf : ∀ i ∈ s, ContDiff ℝ (↑⊤) (f i)) (w : List (Fin 2)) :
            (classicalWordDerivative w fun (x : Homogenization.Vec 2) => ∑ i ∈ s, f i x) = fun (x : Homogenization.Vec 2) => ∑ i ∈ s, classicalWordDerivative w (f i) x

            Ordered spatial derivatives distribute over a finite sum of smooth scalar functions.

            Ordered spatial derivatives commute with subtraction.

            Ordered spatial derivatives commute with multiplication by a real constant.

            Spatial derivatives commute with the Laplacian on smooth functions.