Vector triple product - variations and applications

(1) We know that

X ( X ) = ( .) – (. )

It is also called as Lagrange's formula.

What is ( X ) X ?

Cross-product is anti-commutative.
So, ( X ) X = – X(X)
= –(.) + (.) (applying Lagrange's formula)

(2) Prove X( X ) + X( X ) + X( X ) = 0

(It is known as Jacobi identity for cross product).

Applying Lagrange's formula and knowing that dot product is commutative, we have

LHS = X( X ) + X( X ) + X( X )
= (.) – (.) + (.) – (.) + (.) – (.)
= (.) – (.) + (.) – (.) + (.) – (.)
= 0
= RHS

(3) X )X = X ( X ) – X( X )

Equations at (2) and (3) are useful in vector calculation in Physics

(4) In Vector calculus and Faraday's laws in physics. There is a term called gradient.

It is denoted by the nabla symbol ∇ and pronounced 'del'.

Gradient is defined for functions of multiple variables,

while derivative is defined on functions of single variable.

So we have

∇.(∇ X f) = ∇(∇.f) – (∇.∇)f

(5) In tensor calculus (which is an extention of vector calculus), the triple product using Levi-Civita symbol is

.( X ) = εijkaibjck