noncomputable def
VectorCalculus.lpNorm
{n : ℕ}
(p : ℝ)
(Ω : Set (Fin n → ℝ))
(f : (Fin n → ℝ) → ℝ)
(μ : MeasureTheory.Measure (Fin n → ℝ) := by volume_tac)
:
The $L^p$ norm of $f$ on $\Omega \subset \mathbb{R}^n$ (Definition 7.1.2): $\|f\|_{L^p(\Omega)} = \left(\int_\Omega |f(x)|^p\, d^n x\right)^{1/p}$.
Instances For
A vector field on $\mathbb{R}^n$ (Definition 7.2.1): an $\mathbb{R}^n$-valued function $\mathbf{F} : \mathbb{R}^n \to \mathbb{R}^n$.
Instances For
opaque
VectorCalculus.surfaceMeasure
{n : ℕ}
(Ω : Set (Fin n → ℝ))
:
MeasureTheory.Measure (Fin n → ℝ)
The (opaque) surface measure $d\sigma$ on the boundary of $\Omega$, used in the statement of the divergence theorem.
theorem
VectorCalculus.divergence_theorem
{n : ℕ}
(Ω : Set (Fin n → ℝ))
(F : (Fin n → ℝ) → Fin n → ℝ)
(hΩ : IsOpen Ω)
(hΩc : IsConnected Ω)
(hF : ContDiff ℝ 1 F)
:
Divergence theorem (Theorem 7.1): for a sufficiently regular domain $\Omega$ and a $C^1$ vector field $\mathbf{F}$, $\int_\Omega \nabla \cdot \mathbf{F}\, d^n x = \int_{\partial \Omega} \mathbf{F}(\sigma) \cdot \hat{\mathbf{N}}(\sigma)\, d\sigma$.