Proving the Mixed Product Formula for Vectors in R3

In summary, the conversation is about proving the identity (A×B) . [(B×C)×(C×A)]=(A,B,C)^2, where A, B, and C are vectors in R3. The attempt at a solution involves using the cross product and dot product properties, and the final result is achieved by showing that (B×C) . A and (A×B) . C are equal to the triple scalar product (A,B,C).
  • #1
JasonHathaway
115
0

Homework Statement



Prove that (A×B) . [(B×C)×(C×A)]=(A,B,C)^2
where A, B, C are vectors in R3.

Homework Equations



W×(U×V)=(W . V) U - (W × U) V

The Attempt at a Solution



Assuming K=(A×B), M=(B×C):
K . [M×(C×A)]
K . [(M . A) C - (M . C) A]
[(M . A)(K . C) - (M . C)(K . A)]

Then:
[(B×C) . A] [(A×B) . C] - [(B×C) . C] [(A×B) . A]
 
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  • #2
JasonHathaway said:

Homework Statement



Prove that (A×B) . [(B×C)×(C×A)]=(A,B,C)^2
where A, B, C are vectors in R3.

Homework Equations



W×(U×V)=(W . V) U - (W × U) V

The Attempt at a Solution



Assuming K=(A×B), M=(B×C):
K . [M×(C×A)]
K . [(M . A) C - (M . C) A]
[(M . A)(K . C) - (M . C)(K . A)]

Then:
[(B×C) . A] [(A×B) . C] - [(B×C) . C] [(A×B) . A]

You're almost there!

What is ##\displaystyle \left(\vec{B}\times\vec{C}\right)\cdot\vec{C} \ ?##
 
  • #3
(b×c) . C = (c×b) . C = (c×c) . B = (0) . B = 0
 
  • #4
JasonHathaway said:
(b×c) . C = (c×b) . C = (c×c) . B = (0) . B = 0

Yes.

Does that get you to the result?
 
  • #5
(A×B) . A will vanish as well, and I'll end up with [(B×C) . A] and [(A×B) . C] which are equal.

But how - by algebra - can they be equal to (A,B,C)^2?
 
  • #6
JasonHathaway said:
(A×B) . A will vanish as well, and I'll end up with [(B×C) . A] and [(A×B) . C] which are equal.

But how - by algebra - can they be equal to (A,B,C)^2?

What is (A,B,C) ?

Isn't it the triple scalar product ?
 
  • #7
I understand now.

Thank you very much.
 

1. What is a vector mixed product?

The vector mixed product is a mathematical operation that involves three vectors in three-dimensional space. It is also known as the scalar triple product and is used to determine the volume of a parallelepiped formed by the three vectors.

2. How is the vector mixed product calculated?

The vector mixed product is calculated by taking the dot product of one vector with the cross product of the other two vectors. The dot product is then multiplied by the magnitude of the cross product. The resulting value is a scalar quantity.

3. What is the significance of the vector mixed product?

The vector mixed product has many applications in physics, engineering, and geometry. It can be used to calculate the moment of force, torque, and angular momentum. It is also used to determine the orientation of a plane in three-dimensional space.

4. Is the vector mixed product commutative?

No, the vector mixed product is not commutative. This means that the order in which the vectors are multiplied affects the result. However, it is associative, which means that the grouping of the vectors does not affect the result.

5. How is the vector mixed product related to the cross product?

The vector mixed product is closely related to the cross product. In fact, the cross product can be seen as a special case of the vector mixed product, where one of the vectors is the zero vector. The cross product is also used to calculate the magnitude of the vector mixed product.

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