Active transformation of a vector

Hence, in summary, the proof shows that the vector \underline{y} can be expressed as a combination of \underline{x}, \underline{n}, and \theta. The various dot products and cross products are used to find the appropriate coefficients for each of these vectors. I hope this helps clarify your doubts. Good luck with your exam preparation!
  • #1
KTC
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I'm revising for exam, and trying to understand the following proof, and am having difficulties.

Homework Statement


The vector [tex]\overrightarrow{OP}[/tex] is rotated through an angle [tex]\theta[/tex] about an axis through [tex]O[/tex] in the direction of the unit vector [tex]\underline{n}[/tex].

Homework Equations


http://img172.imageshack.us/img172/4739/diagsx5.png
[tex]\begin{align*}
\underline{y} &= \overrightarrow{O S} + \overrightarrow{S T} + \overrightarrow{T Q} \\
&= (\underline{x}\cdot\underline{n})\underline{n} + \underbrace{SQ \cos\theta}_{| \overrightarrow{S T} |} \underbrace{ \left ( \frac{\underline{x} - (\underline{x}\cdot\underline{n})\underline{n}}{SP} \right )}_{\widehat{\overrightarrow{S P}}} + \underbrace{SQ \sin\theta}_{| \overrightarrow{T Q} |} \underbrace{ \frac{\underline{n} \times \underline{x}}{ |\underline{n} \times \underline{x} |}}_{\widehat{\overrightarrow{T Q}}} \\
&= (\underline{x}\cdot\underline{n})\underline{n} + \underbrace{\cos\theta (\underline{x}-(\underline{x}\cdot\underline{n})\underline{n})}_{(\mbox{as } SP = SQ)} + \underbrace{\sin\theta ~\underline{n} \times \underline{x}}_{(\mbox{as } | \underline{n}\times\underline{x} | = SP = SQ )} \\
\mbox{So} \\
\underline{y} &= \underline{x} \cos\theta + (1 - \cos\theta)(\underline{n}\cdot\underline{x})\underline{n} + (\underline{n}\times\underline{x})\sin\theta
\end{align*}[/tex]

3. Questions
How was [tex]\widehat{\overrightarrow{SP}}[/tex] and [tex]\widehat{\overrightarrow{TQ}}[/tex] arrived at?
How does [tex]| \underline{n}\times\underline{x} | = SP[/tex]?
I'm being stupid and don't understand how the various dot product etc. cancel out from the third to the last line.

Thanks for any help.
 
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  • #2

I can understand that you are having difficulties understanding the proof. Let me try to explain it to you.

Firstly, the notation \widehat{\overrightarrow{SP}} and \widehat{\overrightarrow{TQ}} represent unit vectors in the direction of \overrightarrow{SP} and \overrightarrow{TQ} respectively. These unit vectors are obtained by dividing the original vectors by their magnitudes.

Secondly, the equality | \underline{n}\times\underline{x} | = SP is based on the definition of the cross product. The magnitude of the cross product of two vectors is equal to the area of the parallelogram formed by those two vectors. In this case, \underline{n} and \underline{x} form two sides of a parallelogram with SP as the base. Hence, the magnitude of the cross product is equal to the length of SP.

Lastly, to understand how the various dot products cancel out, let's break down the equation into smaller steps.

Starting from the third line, we have:

(\underline{x}\cdot\underline{n})\underline{n} + \underbrace{SQ \cos\theta}_{| \overrightarrow{S T} |} \underbrace{ \left ( \frac{\underline{x} - (\underline{x}\cdot\underline{n})\underline{n}}{SP} \right )}_{\widehat{\overrightarrow{S P}}} + \underbrace{SQ \sin\theta}_{| \overrightarrow{T Q} |} \underbrace{ \frac{\underline{n} \times \underline{x}}{ |\underline{n} \times \underline{x} |}}_{\widehat{\overrightarrow{T Q}}}

= (\underline{x}\cdot\underline{n})\underline{n} + \underbrace{SQ \cos\theta \widehat{\overrightarrow{S P}}}_{| \overrightarrow{S T} |} + \underbrace{SQ \sin\theta \widehat{\overrightarrow{T Q}}}_{| \overrightarrow{T Q} |}

= (\underline{x}\cdot\underline{n})\underline{n} + \overrightarrow{S T} + \overrightarrow{T Q}

= \underline{x} \cos\theta + (\underline{n}\cdot\underline{x})\underline{n} + (\underline{n}\times\underline{x})\sin\theta

 

1. What is meant by "active transformation of a vector"?

Active transformation of a vector refers to the process of changing the coordinates of a vector in a coordinate system by applying a transformation matrix. This results in a new vector that has different components but represents the same physical quantity.

2. How is active transformation different from passive transformation?

In active transformation, the vector stays the same while the coordinate system changes, whereas in passive transformation, the vector is transformed while the coordinate system stays the same. In other words, active transformation involves changing the vector's coordinates, while passive transformation involves changing the basis vectors of the coordinate system.

3. What is the role of a transformation matrix in active transformation?

A transformation matrix is used to describe how the coordinates of a vector change when a transformation is applied. It is a square matrix that maps the coordinates of the original vector to the new coordinates after the transformation is applied. The transformation matrix is dependent on the type of transformation being performed.

4. How does active transformation affect the magnitude and direction of a vector?

Active transformation does not change the magnitude or direction of a vector. It only changes the coordinates of the vector in the coordinate system. This means that the physical quantity represented by the vector remains the same, but the numerical values of its components may change.

5. What are some real-world applications of active transformation of vectors?

Active transformation of vectors is used in various fields such as physics, engineering, and computer graphics. It is used to describe the motion of objects in 3D space, perform calculations in robotics and computer animation, and transform coordinates in satellite imagery and remote sensing. It is also used in linear algebra to solve systems of equations and find eigenvectors and eigenvalues.

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