Vector Calculus
Notation
Jacobian Matrix
Vector Calculus Identities
(Dx1, ⋯, Dxn) f = Dx1 f e1 + ⋯ + Dxn f en= Dxi f ei
DxB (a ⋅ b) = a × (Dx × b) + (a ⋅ Dx) b
Distributive
Product Rule for Multiplication by a Scalar
Dx ⋅ (x a) = x Dx ⋅ a = + (Dx x) ⋅ a Dx × (x a) = x Dx × + (Dx x) × a Dx2 (f g) = f Dx2 g + 2 Dx f ⋅ Dx g + g Dx2 f
Quotient Rule for Division by a Scalar
Dx (x / y) = (y Dx x − x Dx y) / y2Dx ⋅ (a / y) = (y Dx ⋅ a − Dx y ⋅ a) / y2Dx × (a / y) = (y Dx × a − Dx y × a) / y2
Chain Rule
f : F → F, r(t) : Fn, g : Fn → F Dx (f ∘ g) = (f' ∘ g) Dx g(g ∘ r)' = (Dx g ∘ r) ⋅ r' Dx (g ∘ a) = (Dx g ∘ a) Dx a Dx ⋅ (a ∘ y) = tr((Dx a ∘ y) jy)
Dot Product Rule
Dx (a ⋅ b) = (a ⋅ Dx) b + (b ⋅ Dx) a + a × (Dx × b) + b × (Dx × a)
= a ⋅ jb + b ⋅ ja
= a ⋅ Dx b + b ⋅ Dx a
Cross Product Rule
Dx ⋅ (a × b) = (Dx × a) ⋅ b − a ⋅ (Dx × b)Dx × (a × b) = a (Dx ⋅ b) − b (Dx ⋅ a) + (b ⋅ Dx) a − (a ⋅ Dx) b
= (Dx ⋅ + b ⋅ Dx) a − (Dx ⋅ a + a ⋅ Dx) b
= Dx ⋅ (b at) − Dx ⋅ (a bt)
= Dx (b at − a bt)a × (Dx × b) = Dxb (a ⋅ b) − (a ⋅ Dx) b
= a ⋅ jb − (a ⋅ Dx) b
= a ⋅ Dx b − (a ⋅ Dx) b
= a ⋅ (jb − (jb)t)(a × Dx) × b = a ⋅ Dx b − a (Dx ⋅ b)
a × (Dx × b) + (a ⋅ Dx) b − a (Dx ⋅ b)
Stokes' Theorem
∫∂Ω ω = ∫Ω dω.
References