(1) We know that
X (
X
) =
(
.
) –
(
.
)
It is also called as Lagrange's formula.
What is ( X
) X
?
So, (![]() ![]() ![]() |
= | –![]() ![]() ![]() |
= | –(![]() ![]() ![]() ![]() ![]() ![]() |
(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 | = | ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
= | ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
|
= | ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
|
= | 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