Gradient Estimates #
Support for the Armstrong–Vicol anomalous-diffusion formalization.
theorem
AVenhance.FaaDiBruno.transportSolution_spatialGradient_hasDerivAt_alongFlow
{b g Y : ℝ → Homogenization.Vec 2 → Homogenization.Vec 2}
(hY : IsClassicalTransportSolution b g Y)
(hb : ContDiff ℝ (↑⊤) (Function.uncurry b))
{X : ℝ → Homogenization.Vec 2 → ℝ → Homogenization.Vec 2}
(hX : IsFlow b X)
(x : Homogenization.Vec 2)
(s t : ℝ)
:
HasDerivAt (fun (r : ℝ) => spatialDerivativeCLM (Function.uncurry Y) r (X r x s))
(spatialDerivativeCLM (Function.uncurry g) t (X t x s) - spatialDerivativeCLM (Function.uncurry Y) t (X t x s) ∘SL spatialDerivativeCLM (Function.uncurry b) t (X t x s))
t
Along a flow characteristic, the spatial derivative of a smooth transport solution solves the differentiated transport equation as a linear-map ODE.
theorem
AVenhance.FaaDiBruno.transportSolution_spatialGradient_norm_le_forward
{b g Y : ℝ → Homogenization.Vec 2 → Homogenization.Vec 2}
(hY : IsClassicalTransportSolution b g Y)
(hb : ContDiff ℝ (↑⊤) (Function.uncurry b))
{X : ℝ → Homogenization.Vec 2 → ℝ → Homogenization.Vec 2}
(hX : IsFlow b X)
(hLip : ∃ (L : ℝ), ∀ (r : ℝ) (x z : Homogenization.Vec 2), ‖b r x - b r z‖ ≤ L * ‖x - z‖)
{Lf Lg : ℝ}
(hbD : ∀ (r : ℝ) (x : Homogenization.Vec 2), ‖spatialDerivativeCLM (Function.uncurry b) r x‖ ≤ Lf)
(hgD : ∀ (r : ℝ) (x : Homogenization.Vec 2), ‖spatialDerivativeCLM (Function.uncurry g) r x‖ ≤ Lg)
{t : ℝ}
(ht : 0 ≤ t)
(y : Homogenization.Vec 2)
:
Grönwall bound for the differentiated transport solution along the
characteristic ending at an arbitrary point at time t.
theorem
AVenhance.FaaDiBruno.transportSolution_spatialGradient_norm_le_backward
{b g Y : ℝ → Homogenization.Vec 2 → Homogenization.Vec 2}
(hY : IsClassicalTransportSolution b g Y)
(hb : ContDiff ℝ (↑⊤) (Function.uncurry b))
{X : ℝ → Homogenization.Vec 2 → ℝ → Homogenization.Vec 2}
(hX : IsFlow b X)
(hLip : ∃ (L : ℝ), ∀ (r : ℝ) (x z : Homogenization.Vec 2), ‖b r x - b r z‖ ≤ L * ‖x - z‖)
{Lf Lg : ℝ}
(hbD : ∀ (r : ℝ) (x : Homogenization.Vec 2), ‖spatialDerivativeCLM (Function.uncurry b) r x‖ ≤ Lf)
(hgD : ∀ (r : ℝ) (x : Homogenization.Vec 2), ‖spatialDerivativeCLM (Function.uncurry g) r x‖ ≤ Lg)
{t : ℝ}
(ht : t ≤ 0)
(y : Homogenization.Vec 2)
:
The same endpoint derivative estimate for a characteristic traversed backward from time zero.
theorem
AVenhance.FaaDiBruno.GradientEstimates.exists_spatial_lipschitz_of_fderiv_bound
{b : ℝ → Homogenization.Vec 2 → Homogenization.Vec 2}
(hb : ContDiff ℝ (↑⊤) (Function.uncurry b))
{L : ℝ}
(hL : 0 ≤ L)
(hD : ∀ (t : ℝ) (x : Homogenization.Vec 2), ‖fderiv ℝ (b t) x‖ ≤ L)
:
theorem
AVenhance.FaaDiBruno.GradientEstimates.transportField_spatialDerivative_bound
{b : ℝ → Homogenization.Vec 2 → Homogenization.Vec 2}
(hb : ContDiff ℝ (↑⊤) (Function.uncurry b))
{C R : ℝ}
(hR : 0 < R)
(hC : 0 ≤ C)
(hB : ∀ (t : ℝ), snorm (b t) 1 R ≤ ENNReal.ofReal C)
(t : ℝ)
(x : Homogenization.Vec 2)
:
The source seminorm at order one supplies the pointwise spatial derivative bound used by the characteristic estimate.
theorem
AVenhance.FaaDiBruno.transportSolution_snorm_one_equalRadius
{b g Y : ℝ → Homogenization.Vec 2 → Homogenization.Vec 2}
(hY : IsClassicalTransportSolution b g Y)
(hb : ContDiff ℝ (↑⊤) (Function.uncurry b))
(hg : ContDiff ℝ (↑⊤) (Function.uncurry g))
{X : ℝ → Homogenization.Vec 2 → ℝ → Homogenization.Vec 2}
(hX : IsFlow b X)
{C_f C_g R : ℝ}
(hCf : 0 < C_f)
(hCg : 0 ≤ C_g)
(hR : 0 < R)
(hB : ∀ (t : ℝ), snorm (b t) 1 R ≤ ENNReal.ofReal C_f)
(hG : ∀ (t : ℝ), snorm (g t) 1 R ≤ ENNReal.ofReal C_g)
{t : ℝ}
(hT : |t| ≤ 1 / (8 * C_f * R))
:
Equal-radius, order-one transport estimate for either sign of time.