Vectors: How to prove the BAC-CAB identity w/o components?

Click For Summary
SUMMARY

The discussion focuses on proving the identity $$\bf{ a \times ( b \times c ) = \phi [ b(a \bullet c) - c(a \bullet b) ]}$$ without using components. The user successfully deduced that $$\phi = 1$$ by manipulating the equation and using the properties of dot and cross products. Key insights include the realization that the expression $$\textbf{a} \times ( \textbf{b} \times \textbf{c} )$$ can be simplified by dotting both sides with vectors $$\textbf{a}$$ and $$\textbf{b} \times \textbf{c}$$, leading to the conclusion that the scalar component $$k$$ is zero.

PREREQUISITES
  • Understanding of vector operations, specifically dot and cross products.
  • Familiarity with linear algebra concepts related to vector spaces.
  • Basic knowledge of vector identities and properties.
  • Ability to manipulate algebraic expressions involving vectors.
NEXT STEPS
  • Study the properties of the cross product, focusing on linearity and the geometric interpretation.
  • Learn about vector identities and how to apply them in proofs.
  • Explore the role of scalar multiplication in vector equations.
  • Investigate the use of reference vectors and basis vectors in vector proofs.
USEFUL FOR

Students of physics and mathematics, particularly those studying vector calculus and linear algebra, as well as educators looking for methods to teach vector identities without relying on components.

Master1022
Messages
590
Reaction score
116

Homework Statement


Prove that $$\bf{ a \times ( b \times c ) = \phi [ b(a \bullet c) - c(a \bullet b) ]} $$

for some constant phi

Homework Equations

The Attempt at a Solution


So I have used the unit vectors i, j, and k and found out that phi = 1.

With the main part of the proof, we are not allowed to expand it using components. Also, I am not at the level where we know the tensors or more advanced methods that I have seen elsewhere on the internet- just the basic rules of dot and cross product.

So I know that $$ a \times ( b \times c ) = p c + q b + k(b \times c)$$ for some scalars p,q, and k. I also know that the a x ( b x c) will lie in the plane of bc, so thus k = 0.
$$ \textbf{a} \times ( \textbf{b} \times \textbf{c} ) = p \textbf{c} + q \textbf{b} $$

Our professor then gave the hint of dotting both sides by a and (b x c) separately and going from there.

So when I dotted both sides by a, I got:
$$ 0 = p (\bf{a \bullet c}) + q (\bf{a \bullet b}) $$

Then when I dotted everything by (b x c):
$$ 0 = p (\bf{c \bullet (b \times c)}) + q (\bf{b \bullet (b \times c)}) $$

This is where I don't know what to do, because the second expression goes to 0 = 0 and I cannot really see how to use it.

Any help is greatly appreciated.
 
Physics news on Phys.org
Master1022 said:
Then when I dotted everything by (b x c)
You dot from the right on the right hand side of the equation. Perhaps try to do that on the lefthand side too ... o:)

[edit] I'll get some coffee first, sorry
 
BvU said:
You dot from the right on the right hand side of the equation. Perhaps try to do that on the lefthand side too ... :rolleyes:
The inner product is commutative ...

Master1022 said:
This is where I don't know what to do, because the second expression goes to 0 = 0 and I cannot really see how to use it.
This is what allows you to conclude that there is no ##\vec b \times \vec c## component (i.e., ##k = 0##). Since you have already assumed that, it will come out as 0 = 0.

However, your inner product with ##\vec a## is sufficient for the conclusion that ##\vec a \times (\vec b \times \vec c) = \phi[\vec b(\vec a \cdot \vec c) - \vec c (\vec a \cdot \vec b)]##.
 
  • Like
Likes   Reactions: BvU
Formula ##\boldsymbol a\times( \boldsymbol b\times\boldsymbol c)=\boldsymbol b(\boldsymbol a,\boldsymbol c)-\boldsymbol c(\boldsymbol a,\boldsymbol b)## follows by direct calculation in a Cartesian frame. This calculation may be little bit simplified if you choose the frame such that ##\boldsymbol a=(a,0,0),\quad \boldsymbol b=(b_1,b_2,0)##
 
wrobel said:
Formula ##\boldsymbol a\times( \boldsymbol b\times\boldsymbol c)=\boldsymbol b(\boldsymbol a,\boldsymbol c)-\boldsymbol c(\boldsymbol a,\boldsymbol b)## follows by direct calculation in a Cartesian frame. This calculation may be little bit simplified if you choose the frame such that ##\boldsymbol a=(a,0,0)##
I believe this fails the requirement not to use components as specified in the OP.
Master1022 said:
With the main part of the proof, we are not allowed to expand it using components.
 
Orodruin said:
believe this fails the requirement not to use components as specified in the OP.
oh yes, I missed that. Pain without any gain, I see
 
Orodruin said:
The inner product is commutative ...
However, your inner product with ##\vec a## is sufficient for the conclusion that ##\vec a \times (\vec b \times \vec c) = \phi[\vec b(\vec a \cdot \vec c) - \vec c (\vec a \cdot \vec b)]##.

Thank you for your response! Could you explain what you mean by the above statement- I cannot really understand what you mean.

Thanks.
 
Master1022 said:
Thank you for your response! Could you explain what you mean by the above statement- I cannot really understand what you mean.

Thanks.
Which of the two statements you quoted?
 
Orodruin said:
Which of the two statements you quoted?
The second one
 
  • #10
You have an equation that relates ##p## and ##q##. Use this to express one in terms of the other. This is sufficient to come to the conclusion that you are asked to derive.
 
  • #11
To be more specific, you have
Master1022 said:
So when I dotted both sides by a, I got:
$$ 0 = p (\bf{a \bullet c}) + q (\bf{a \bullet b}) $$
You can solve for either ##p## or ##q## in terms of the other here and insert it into your expression
Master1022 said:
$$ \textbf{a} \times ( \textbf{b} \times \textbf{c} ) = p \textbf{c} + q \textbf{b} $$

wrobel said:
oh yes, I missed that. Pain without any gain, I see
My gym partner assures me that pain is just weakness leaving the body ... :rolleyes:
 
  • Like
Likes   Reactions: Master1022
  • #12
Orodruin said:
To be more specific, you have
You can solve for either ##p## or ##q## in terms of the other here and insert it into your expression

I have ended up with $$ \textbf{a} \times (\textbf{b} \times \textbf{c}) = \frac{p}{(\textbf{a} \bullet \textbf{c})} [\textbf{b}(\textbf{a}\bullet\textbf{c}) - \textbf{c}(\textbf{a}\bullet\textbf{b})]$$

do we just let the $$\frac{p}{(a \bullet c)} = \phi = 1$$

Thanks.
 
  • #13
Master1022 said:
I have ended up with $$ \textbf{a} \times (\textbf{b} \times \textbf{c}) = \frac{p}{(\textbf{a} \bullet \textbf{c})} [\textbf{b}(\textbf{a}\bullet\textbf{c}) - \textbf{c}(\textbf{a}\bullet\textbf{b})]$$

do we just let the $$\frac{p}{(a \bullet c)} = \phi = 1$$
The first part, yes (##\phi = p/(\vec a \cdot \vec c)##). That ##\phi = 1## is something you must deduce by using some reference vectors (such as the basis vectors).
 
  • #14
Orodruin said:
The first part, yes (##\phi = p/(\vec a \cdot \vec c)##). That ##\phi = 1## is something you must deduce by using some reference vectors (such as the basis vectors).
wouldn't that mean for non-basis vectors, phi wouldn't be 1?
 
  • #15
Master1022 said:
wouldn't that mean for non-basis vectors, phi wouldn't be 1?
No. The product is linear in all arguments.
 
  • #16
Orodruin said:
No. The product is linear in all arguments.
That is true... not sure I completely understand why that is, but I have tried it out by setting vectors a, b, and c to random things and they seem to always yield the result that p = (a . c) for the LHS to equal the RHS...

Thanks for all the help!
 
  • #17
Master1022 said:
not sure I completely understand why that is
Why what is? Why the product is linear in all arguments? That follows directly from the cross product being linear in both arguments, i.e., ##\vec a \times (\vec b_1 + \vec b_2) = \vec a \times \vec b_1 + \vec a \times \vec b_2## etc.
 
  • Like
Likes   Reactions: Master1022

Similar threads

Replies
6
Views
1K
Replies
1
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 0 ·
Replies
0
Views
1K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 0 ·
Replies
0
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
5
Views
4K