Reflection Matrices: Find Components of R

In summary, Ciaran wrote a formula for w=Rv which is different from what he thought it may be because of the way the vectors are pointing.
  • #1
Ciaran
72
0
Hi there,

I've got a unit vector u^, arbitrary vector v, and a vector w which is the reflection of v in a line in the direction of u. I have already proved that w= 2 (u^.v)u^ - v. However, the next part of my question asks me to write w= Rv and find the components of the matrix R, taking the components of u^ as (u_1, u_2) and likewise with v. I've done questions like these before but I'm not really sure how to do this one. Any help would be much appreciated!
 
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  • #2
Ciaran said:
Hi there,

I've got a unit vector u^, arbitrary vector v, and a vector w which is the reflection of v in a line in the direction of u. I have already proved that w= 2 (u^.v)u^ - v. However, the next part of my question asks me to write w= Rv and find the components of the matrix R, taking the components of u^ as (u_1, u_2) and likewise with v. I've done questions like these before but I'm not really sure how to do this one. Any help would be much appreciated!

Hi Ciaran! Welcome to MHB! :)

I suspect that your formula should be:
$$\mathbf w = \mathbf v - 2(\mathbf{\hat u} \cdot \mathbf v)\mathbf{\hat u}$$

Suppose we simply substitute $\mathbf{\hat u}=(u_1,u_2)$ and $\mathbf v=(v_1,v_2)$ and simplify a bit.
What is then the result? (Wondering)
 
  • #3
Thanks for your reply- the formula is indeed as I stated in the question; I rechecked my question paper. I think the reason it is different to what you thought it may be is due to the way the vectors are pointing?
When substituting, I got w= 2(u1v1+u2v2) (u1,u2)- (v1,v2). I apologise for the way it is typed; I've still to learn how to use the software!
 
  • #4
Ciaran said:
When substituting, I got w= 2(u1v1+u2v2) (u1,u2)- (v1,v2).
Now represent this as
\[
\begin{pmatrix}w_1\\w_2\end{pmatrix}=
\begin{pmatrix}
2(u_1v_1+u_2v_2)u_1-v_1\\
2(u_1v_1+u_2v_2)u_2-v_2
\end{pmatrix}=
\begin{pmatrix}
2u_1^2-1&2u_1u_2\\
2u_1u_2 & 2u_2^2-1
\end{pmatrix}
\begin{pmatrix}v_1\\v_2\end{pmatrix}.
\]
 
  • #5
Ciaran said:
Thanks for your reply- the formula is indeed as I stated in the question; I rechecked my question paper. I think the reason it is different to what you thought it may be is due to the way the vectors are pointing?

Ah, I see it now.
The formula I mentioned is for reflection in a (hyper)space that has $\mathbf{\hat u}$ as its normal vector.
Your formula is for reflection in the line with the direction $\mathbf{\hat u}$.
When substituting, I got w= 2(u1v1+u2v2) (u1,u2)- (v1,v2). I apologise for the way it is typed; I've still to learn how to use the software!

No sweat.
If you're interested, click Reply With Quote on any of our posts to see how it is done.
Basically, it's just a matter of putting your formula between [math]...[/math] or \$...\$ tags.
 

FAQ: Reflection Matrices: Find Components of R

What is a reflection matrix?

A reflection matrix is a square matrix that represents a transformation that reflects points across a specific line or plane. It is commonly used in linear algebra and geometry to perform reflections in multi-dimensional spaces.

How do you find the components of a reflection matrix?

To find the components of a reflection matrix, you need to first determine the line or plane of reflection. Then, you can use the formula for a reflection matrix to calculate the specific components based on the coordinates of the line or plane.

What is the formula for a reflection matrix?

The formula for a reflection matrix varies slightly depending on whether the reflection is happening across a line or a plane. For a reflection across a line, the formula is:
R = I - 2nnT, where n is the unit vector representing the line. For a reflection across a plane, the formula is:
R = I - 2nnT, where n is the unit normal vector of the plane.

How do reflection matrices relate to symmetry?

Reflection matrices are closely related to symmetry because they represent a type of symmetry known as reflection symmetry. This means that the object or points being reflected have a mirror image on the other side of the line or plane of reflection.

Can reflection matrices be used in real-world applications?

Yes, reflection matrices have many real-world applications. They are commonly used in computer graphics to create reflections and simulate 3D environments. They are also used in physics and engineering to study the behavior of light and sound waves, as well as in robotics to control the movement of robots.

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