Coordinate representation of vectors?

RJLiberator
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Homework Statement


Starting from the coordinate representation for the vectors, show the result in Equation 1.16 of Griffith's book.

(1.16)A \cdot (B \times C) =<br /> \left[ \begin{array}{ccc} A_x &amp; A_y &amp; A_z \\ B_x &amp; B_y &amp; B_z \\ C_x &amp; C_y &amp; C_z \end{array} \right]

Note: Here, I use * to represent dot product and x to represent cross product.

The textbook goes on to state:
A \cdot (B \times C) = (A \times B) \cdot C
Mod note: Replaced 'x' by \times and '*' by \cdot

Homework Equations

The Attempt at a Solution

I am wondering what the question is actually asking for?

By 'coordinate representation' what do they mean? By looking at vector A as (A_x, A_y, A_z) and same for vector B and vector C. Do I simply work out the math by components and show that the two sides are equal?
 
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RJLiberator said:

Homework Statement


Starting from the coordinate representation for the vectors, show the result in Equation 1.16 of Griffith's book.

(1.16)A \cdot (B \times C) =<br /> \left[ \begin{array}{ccc} A_x &amp; A_y &amp; A_z \\ B_x &amp; B_y &amp; B_z \\ C_x &amp; C_y &amp; C_z \end{array} \right]

Note: Here, I use * to represent dot product and x to represent cross product.

The textbook goes on to state:
A \cdot (B \times C) = (A \times B) \cdot C

Homework Equations

The Attempt at a Solution

I am wondering what the question is actually asking for?
Show that the left side of eqn. 1.16 is equal to the right side.
RJLiberator said:
By 'coordinate representation' what do they mean? By looking at vector A as (A_x, A_y, A_z) and same for vector B and vector C. Do I simply work out the math by components and show that the two sides are equal?
Yes.
 
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OK, so the goal is to show A \cdot (B \times C) = (A \times B) \cdot C ?

I just worked that out by brute force rather easily.

I guess my confusion was from how the question was stated. "Starting from the coordinate representation for the vectors,...". I also was confused as the book stated (1.16) with this:(1.16)A \cdot (B \times C) =<br /> \left[ \begin{array}{ccc} A_x &amp; A_y &amp; A_z \\ B_x &amp; B_y &amp; B_z \\ C_x &amp; C_y &amp; C_z \end{array} \right]

But if the problem was merely to prove
A \cdot (B \times C) = (A \times B) \cdot C
Then this thread is as good as solved.
 
RJLiberator said:
OK, so the goal is to show A \cdot (B \times C) = (A \times B) \cdot C ?

I just worked that out by brute force rather easily.

I guess my confusion was from how the question was stated. "Starting from the coordinate representation for the vectors,...". I also was confused as the book stated (1.16) with this:(1.16)A \cdot (B \times C) =<br /> \left[ \begin{array}{ccc} A_x &amp; A_y &amp; A_z \\ B_x &amp; B_y &amp; B_z \\ C_x &amp; C_y &amp; C_z \end{array} \right]

But if the problem was merely to prove
A \cdot (B \times C) = (A \times B) \cdot C
Then this thread is as good as solved.

No, you mis-read the question. It first wants you to prove eq. (1.16) --- which, by the way, is a useful result of some importance in itself. Then it asks you to use (1.16) to prove the ABC result stated. The problem was not to "just" prove the ABC result.
 
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One other thing. I believe you have misrepresented the right side of the equation. It should not be a matrix; instead it should be a determinant.

Equation 1.16 should look like this:
##A \cdot (B \times C) =
\begin{vmatrix} A_x & A_y & A_z \\ B_x & B_y & B_z \\ C_x & C_y & C_z \end{vmatrix}##
 
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Ah. Okay guys, thank you for your help. The information I was unaware of was that it was a 3x3 determinant. I know calculated brute force both sides of 1.16 and arrived at the result.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...

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