Give a basis to get the specific matrix M

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SUMMARY

This discussion focuses on determining specific bases for linear maps in \(\mathbb{R}^2\) that yield upper triangular and diagonal matrices. The linear maps defined are \(\phi_1\), \(\phi_2\), and \(\phi_3\), with corresponding matrices derived from chosen bases. For \(\phi_1\), the basis \(\mathcal{B}_1 = \{\begin{pmatrix}1\\ 1\end{pmatrix}, \begin{pmatrix}1\\ 0\end{pmatrix}\}\) results in an upper triangular matrix \(\begin{pmatrix}2 & 1 \\ 0 & 1\end{pmatrix}\) and a diagonal matrix \(\begin{pmatrix}2 & 0 \\ 0 & 2\end{pmatrix}\). Similar bases are found for \(\phi_2\) and \(\phi_3\) that satisfy the conditions for upper triangular and diagonal forms.

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  • Familiarity with matrix representations of linear maps.
  • Knowledge of eigenvalues and eigenvectors for diagonalization.
  • Proficiency in constructing bases for vector spaces.
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  • #31
For the last map :

Let $b_2=\begin{pmatrix}0 \\ 1\end{pmatrix}$, then $\gamma_{\mathcal{B}_1}(\phi_3(b_2))=\gamma_{\mathcal{B}_1}\begin{pmatrix}1 \\ 0\end{pmatrix}=\begin{pmatrix}1 \\ 0\end{pmatrix}$.
So we get \begin{equation*}\mathcal{M}_{\mathcal{B}_1}(\phi_3)=\begin{pmatrix}1 & 1 \\ 0 & 0\end{pmatrix}\end{equation*} which is an upper triangular matrix.There is no basis such that $\mathcal{M}_{\mathcal{B}_1}(\phi_3)$ is a diagonal matrix, because the element at the second column and first row has to be non zero to get linearly independent vectors, right?


:unsure:
 
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  • #32
mathmari said:
\begin{align*}\phi_3:\mathbb{R}^2\rightarrow \mathbb{R}, \ \begin{pmatrix}x\\ y\end{pmatrix} \mapsto \begin{pmatrix}y\\ 0\end{pmatrix} \end{align*}
1. Give (if possible) for each $i\in \{1,2,3\}$ a Basis $B_i$ of $\mathbb{R}^2$ such that $M_{B_i}(\phi_i)$ an upper triangular matrix.
2. Give (if possible) for each $i\in \{1,2,3\}$ a Basis $B_i$ of $\mathbb{R}^2$ such that $M_{B_i}(\phi_i)$ an diagonal matrix.
mathmari said:
Let $b_2=\begin{pmatrix}0 \\ 1\end{pmatrix}$, then $\gamma_{\mathcal{B}_3}(\phi_3(b_2))=\gamma_{\mathcal{B}_3}\begin{pmatrix}1 \\ 0\end{pmatrix}=\begin{pmatrix}1 \\ 0\end{pmatrix}$.
So we get \begin{equation*}\mathcal{M}_{\mathcal{B}_3}(\phi_3)=\begin{pmatrix}1 & 1 \\ 0 & 0\end{pmatrix}\end{equation*} which is an upper triangular matrix.
I've taken the liberty to change $\mathcal{B}_1$ into $\mathcal{B}_3$ in the above quote.
That was what was intended wasn't it? :unsure:

The eigenvalue was $0$ wasn't it?
Shouldn't we have $u_{11}=0$ then?
I don't think we have the correct $\mathcal{M}_{\mathcal{B}_3}(\phi_3)$. (Shake)

mathmari said:
There is no basis such that $\mathcal{M}_{\mathcal{B}_3}(\phi_3)$ is a diagonal matrix, because the element at the second column and first row has to be non zero to get linearly independent vectors, right?
Correct. (Nod)
 
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  • #33
Klaas van Aarsen said:
The eigenvalue was $0$ wasn't it?
Should we have $u_{11}=0$ then?
I don't think we have the correct $\mathcal{M}_{\mathcal{B}_3}(\phi_3)$. (Shake)

Ahh yes, we have \begin{equation*}\mathcal{M}_{\mathcal{B}_3}(\phi_3)=\begin{pmatrix}0 & 1 \\ 0 & 0\end{pmatrix}\end{equation*} :unsure:
 
  • #34
mathmari said:
Ahh yes, we have \begin{equation*}\mathcal{M}_{\mathcal{B}_3}(\phi_3)=\begin{pmatrix}0 & 1 \\ 0 & 0\end{pmatrix}\end{equation*}
Right. (Nod)
 
  • #35
Klaas van Aarsen said:
Right. (Nod)

Thank you ! 👌
 

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