LaTex2Web logo

Documents Live, a web authoring and publishing system

If you see this, something is wrong

Table of contents

First published on Saturday, Jan 11, 2025 and last modified on Saturday, Jan 11, 2025

Linear Algebra in the Euclidian Space: Section 13 Test

Fabienne Chaplais Mathedu

Keywords: Diagonalisation, Rotation

1 Introduction

In that test, you will solve in three different ways the following linear system, whose coefficient matrix is the rotation matrix of angle \( \theta\) in an orthonormal basis.

\[ \left\{ \begin{matrix} x\cos(\theta)&-&y\sin(\theta)&=&e\\ x\sin(\theta)&+&y\cos(\theta)&=&f \end{matrix} \right. \]

We will assume that \( \sin(\theta)\ne 0\) , because otherwise the system is trivial, as \( \cos(\theta)=\pm 1\) .

2 1st method: Elimination/Substitution

2.1 Question 1.1: Solve the first equation in \( y\)

2.1.1 TIP

Use the fact that \( \sin(\theta)\ne 0\) .

2.2 Question 1.2: Substitute the obtain value of \( y\) in the second equation and solve it in \( x\)

2.2.1 TIP

Mutliply the two members of the resulting equation by \( \sin(\theta)\) and use the fact that \( \sin^2(\theta)+\cos^2(\theta)=1\) .

2.3 Question 1.3: Substitute the resulting value of \( x\) in the espression of \( y\) as a function of \( x\) and deduce the value of \( y\)

2.3.1 TIP

Use the fact that \( \sin^2(\theta)+\cos^2(\theta)=1\) to simplify \( -1+\cos^2(\theta)\) , and distribute \( \frac{1}{\sin(\theta)}\) .

2.4 Question 1.4: Give the solution of the system

3 2nd method: Inversion of the Rotation Matrix

3.1 Question 2.1: Provide the corresponding matrix equation and the inverse of the coefficient matrix.

3.1.1 TIP

Specify the rotation matrix used as the coefficient matrix.

3.2 Question 2.2: Solve the matrix equation and check that it is the same solution as previously

4 3th method : Diagonalisation in \( \mathbb{C}\) of the Rotation Matrix

4.1 Question 3.1: Provide and solve in \( \mathbb{C}\) the characteristic polynomial of the matrix \( A\) , and provide the complex eigenvalues of \( A\)

4.1.1 TIP

Use the complex exponential notation.

4.2 Question 3.2: Find complex eigenvectors for the complex eigenvalues of \( A\)

4.2.1 TIPs

Don’t use the complex exponential notations for that question. For the first eignevalue, solve the first equation first, and check that the corresponding second equation is fulfilled. For the second eigenvalue, use the complex conjugate of the eigenvectors corresponding to the first eigenvalue.

4.3 Question 3.3: Provide the diagonal matrix \( D\) of the eigenvalues and the matrix \( P\) with columns the eigenvectors

4.3.1 TIP

Use the complex exponential notation for the eigenvalues.

4.4 Question 3.5: Provide and solve the sytem that is equivalent to \( DY=C\)

4.4.1 TIPs

Denote \( Y=\begin{bmatrix}z\\ t\end{bmatrix}\) and \( C=\begin{bmatrix}g\\ h\end{bmatrix}B\) . Use the fact that the invese of \( e^{i\theta}\) is \( e^{-i\theta}\) and reversely.

4.5 Question 3.6: Use the fact that \( X=PY\) to express \( x\) and \( y\) as functions of \( g\) and \( h\)

4.6 Question 3.7: Inverse \( P\) and use the fact that \( C=P^{-1}B\) to express \( g\) and \( h\) as functions of \( e\) and \( f\)

4.6.1 TIP

Use the fact that \( \frac{1}{i}=-i\) for the inverse of \( P\) .

4.7 Question 3.7: Substitude the values of \( g\) and \( h\) in the values of \( x\) and \( y\) obtained in the question 3.4 to solve the system

4.7.1 TIPs

Set \( \frac{1}{2}\) in factor and devlop it at the end. Use the fact that \( e^{i\theta}+e^{-i\theta}=2\cos(\theta)\) and \( e^{i\theta}-e^{-i\theta}=2i\sin(\theta)\) .

5 Conclusion

The 3 following methods to solve a liear system whose matrix of coefficients is a matrix of rotation:

  1. elimination/substitution,

  2. solving the equivalent matix equation by matrix inversion,

  3. diagonalizing the coefficient matrix in \( \mathbb{C}\) ,

give the same solution.

And we learned to diagonalize a real matirx in \( \mathbb{C}\) .