Deriving Rotation Matrix from Strang pg.230

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In summary, by working out the form of exp{Kt}, it is possible to easily calculate the sum defining it. K has a diagonal form with eigenvalues i and -i, which can be simplified by diagonalizing it. This is done by using the Taylor's series for exponents and the fact that for a diagonal matrix, powers just give powers on the diagonal. Thus, e^{Kt} can be simplified to a diagonal matrix with exponentials on the diagonal. This is then multiplied out using e^{it} = cos(t) + isin(t).
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interested_learner
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This is another attempt at an earlier question that maybe wasn't done in a readable format.

This was in Strang page 230. Could someone derive this?

[tex]
if K = \left[\begin{array} {cc} 0&-1\\1&0\end{array}\right]

then \quad e^{Kt} = \left[\begin{array} {cc} cos t & -sin t\\sin t & cos t\end{array}\right]
[/tex]
 
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By working out what exp{Kt} looks like: K has a nice form, so do the powers of K, hence it is possible to simply work out what the sum defining exp{Kt} is.
 
  • #3
The eigenvalues of K are i and -i so, over the complex numbers, K is equivalent to the diagonal matrix with i and -i on the diagonal. In fact, since the corresponding eigenvectors are multiples of [1, -i] and [1, i] respectively, we have:
[tex]\left[\begin{array}{cc}0 & -1 \\ 1 & 0\end{array}\right]=\left[\begin{array}{cc}1 & 1 \\-i & i \end{array}\right] \left[\begin{array}{cc}i & 0 \\0 & -i\end{array}\right]\left[\begin{array}{cc}\frac{i}{2} & -\frac{1}{2} \\-\frac{i}{2} & -\frac{1}{2}\end{array}\right][/tex]

The point of "diagonalizing" like that is that if [itex]A= CDC^{-1}[/itex] then [itex]A^2= (CDC^{-1})(CDC^{-1})= CD^2C^{-1}[/itex] and similarly for higher powers. Then, using the Taylor's series for ex:[itex]e^x= 1+ x+ \frac{1}{2}x^2+ \cdot\cdot\cdot + \frac{1}{n!}x^n+ \cdot\cdot\cdot[/itex], we have
[tex]e^{CDC^{-1}}= I+ CDC^{-1}+ \frac{1}{2}CD^2C^{-1}+ \cdot\cdot\cdot+ \frac{1}{n!}CD^nC^{-1}+ \cdot\cdot\cdot[/tex]
Since I= CC-1, that is
[tex]C(I+ D+ \frac{1}{2}D^2+ \cdot\cdot\cdot + \frac{1}{n!}D^n+ \cdot\cdot\cdot = Ce^DC^{-1}[/tex]
For a diagonal matrix, powers just give powers on the diagonal and adding just adds the diagonal values, for diagonal matrix D, eD is just the diagonal matrix with exponentials on the diagonal. In this case
[tex]e^{Kt}= \left[\begin{array}{cc}1 & 1 \\-i & i \end{array}\right]\left[ \begin{array}{cc}e^{it} & 0 \\ 0 & e^{-it}\end{array}\right]\left[\begin{array}{cc}\frac{i}{2} & -\frac{1}{2} \\-\frac{i}{2} & -\frac{1}{2}\end{array}\right][/tex]
Use [itex]e^{it}= cos(t)+ isin(t)[/itex] and multiply it out.
 
  • #4
Wow! Thanks

Wow! Such a quick and clear answer. Thanks!
 

FAQ: Deriving Rotation Matrix from Strang pg.230

How do you derive a rotation matrix from Strang pg.230?

To derive a rotation matrix, you can use the formula given by Strang on page 230. This formula involves calculating the cosine and sine of the angle of rotation, and then using these values to construct the rotation matrix. The specific steps may vary depending on the specific problem, so it is important to carefully follow the instructions given by Strang.

What is the purpose of deriving a rotation matrix from Strang pg.230?

The purpose of deriving a rotation matrix is to be able to accurately rotate a vector or coordinate system in three-dimensional space. This can be useful in many fields, such as computer graphics, robotics, and engineering, where precise rotations are needed for calculations and simulations.

Is the rotation matrix derived from Strang pg.230 unique?

No, the rotation matrix derived from Strang pg.230 is not unique. There are multiple ways to construct a rotation matrix, so there may be different rotation matrices that yield the same results. However, the matrix derived from Strang is a commonly used and reliable method for calculating rotations.

What are some common applications of rotation matrices?

Rotation matrices have a wide range of applications, including computer graphics, robotics, physics simulations, and 3D modeling. They are used to rotate objects in virtual environments, orient cameras and sensors, and solve complex mathematical problems involving rotations.

Are there any limitations to using the rotation matrix derived from Strang pg.230?

Like any mathematical tool, the rotation matrix derived from Strang pg.230 has its limitations. It can only be used for rotations in three-dimensional space, and it may not accurately represent certain types of rotations, such as non-orthogonal or non-linear rotations. It is important to consider the specific problem and choose the appropriate method for deriving a rotation matrix.

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