Why does this hold when we have the zero matrix?

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Discussion Overview

The discussion revolves around the properties of the set \( U = \{ X \in \mathbb{R}^{2\times 2} \mid AX = XB \} \) for matrices \( A, B \in \mathbb{R}^{2\times 2} \). Participants explore whether \( U \) is a vector subspace and under what conditions it contains only the zero matrix. The conversation includes mathematical reasoning and attempts to establish conditions for the intersection of specific elements of \( A \) and \( B \).

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants assert that \( U \) is non-empty because the zero matrix satisfies \( AO = O = OB \).
  • Participants demonstrate that \( U \) is closed under addition and scalar multiplication, suggesting it is a vector subspace.
  • There is a proposal that \( U = \{0\} \) if and only if \( \{a_1, a_4\} \cap \{b_1, b_4\} = \emptyset \).
  • Mathematical derivations are presented to show how the conditions on \( A \) and \( B \) lead to \( X = 0 \) being the only solution for \( AX = XB \).
  • Some participants question how to show the reverse implication, that if \( U = \{0\} \), then the intersection condition holds.
  • There is a discussion about the dependency of \( U \) on the specific choices of \( A \) and \( B \), emphasizing that \( U \) can change based on these matrices.
  • Participants express uncertainty about the implications of having the zero matrix and its relation to the conditions on \( A \) and \( B \).

Areas of Agreement / Disagreement

Participants generally agree on the initial properties of \( U \) as a vector subspace and the implications of the zero matrix. However, there is ongoing debate regarding the conditions under which \( U \) contains only the zero matrix and the implications of the intersection of specific elements of \( A \) and \( B \). The discussion remains unresolved regarding the reverse implication.

Contextual Notes

The discussion includes complex mathematical reasoning that relies on specific definitions and assumptions about the matrices \( A \) and \( B \). The implications of the conditions presented are not fully resolved, and participants express various levels of understanding and uncertainty.

mathmari
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Hey! :o

I want to show that for $A,B\in \mathbb{R}^{2\times 2}$ the $U=\{X\in \mathbb{R}^{2\times 2}\mid AX=XB\}$ is a vector subspace of $\mathbb{R}^{2\times 2}$.

We have that it is non-empty, since the zero matrix belongs to $U$ : $AO=O=OB$.

Let $X_1, X_2\in U$ then $AX_1=X_1B$ and $AX_2=X_2B$.
We have that $A(X_1+X_2)=AX_1+AX_2=X_1B+X_2B=(X_1+X_2)B$, and so $X_1+X_2\in U$.

Let $\lambda \in \mathbb{R}$.
We have that $A(\lambda X_1)=\lambda (AX_1)=\lambda (X_1B)=(\lambda X_1)B$,and so $\lambda X_1\in U$.

Is everything correct? (Wondering) Then when $A=\begin{pmatrix}a_1 & 0 \\ a_3 & a_4\end{pmatrix}$ and $B=\begin{pmatrix}b_1 & b_2 \\ 0 & b_4\end{pmatrix}$ I want to show that $$U=\{0\} \iff \{a_1, a_4\}\cap \{b_1, b_4\}=\emptyset$$

We have that $$AX=\begin{pmatrix}a_1 & 0 \\ a_3 & a_4\end{pmatrix}\begin{pmatrix}x_1 & x_2 \\ x_3 & x_4\end{pmatrix}=\begin{pmatrix}a_1x_1 & a_1x_2 \\ a_3x_1+a_4x_3 & a_3x_2+a_4x_4\end{pmatrix}$$
and
$$XB=\begin{pmatrix}x_1 & x_2 \\ x_3 & x_4\end{pmatrix}\begin{pmatrix}b_1 & b_2 \\ 0 & b_4\end{pmatrix}=\begin{pmatrix}x_1b_1 & x_1b_2+x_2b_4 \\ x_3b_1 & x_3b_2+x_4b_4\end{pmatrix}$$

So, $$AX=XB \Rightarrow \begin{pmatrix}a_1x_1 & a_1x_2 \\ a_3x_1+a_4x_3 & a_3x_2+a_4x_4\end{pmatrix}=\begin{pmatrix}x_1b_1 & x_1b_2+x_2b_4 \\ x_3b_1 & x_3b_2+x_4b_4\end{pmatrix} \\ \Rightarrow \left\{\begin{matrix}
a_1x_1=x_1b_1 \\
a_1x_2=x_1b_2+x_2b_4 \\
a_3x_1+a_4x_3=x_3b_1 \\
a_3x_2+a_4x_4=x_3b_2+x_4b_4
\end{matrix}\right.\Rightarrow \left\{\begin{matrix}
(a_1-b_1)x_1=0 \\
(a_1-b_4)x_2=x_1b_2 \\
a_3x_1=x_3(b_1-a_4) \\
a_3x_2=x_3b_2+x_4(b_4-a_4)
\end{matrix}\right.$$

For the direction $\Leftarrow$ we have that $\{a_1, a_4\}\cap \{b_1, b_4\}=\emptyset$, so we have the following:
Since $a_1\neq b_1$ it must be $(a_1-b_1)x_1=0 \Rightarrow x_1=0$.
From the second equation we have $(a_1-b_4)x_2=x_1b_2\Rightarrow (a_1-b_4)x_2=0$, since $a_1\neq b_4$ it follows that $x_2=0$.
From the third equation we have that $a_3x_1=x_3(b_1-a_4)\Rightarrow x_3(b_1-a_4)=0$, since $b_1\neq a_4$ it follows that $x_3=0$.
From the last equation we have $a_3x_2=x_3b_2+x_4(b_4-a_4)\Rightarrow 0=x_4(b_4-a_4)$, since $b_4\neq a_4$ it follows that $x_4=0$.

Therefore, the matrix $X$ is the zero matrix, and so $U=\{0\}$, right? (Wondering) How can we show the other direction? (Wondering)
When we have the zero matrix, doesn't it hold for every $A$ and $B$ ? (Wondering)
 
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mathmari said:
Hey! :o

I want to show that for $A,B\in \mathbb{R}^{2\times 2}$ the $U=\{X\in \mathbb{R}^{2\times 2}\mid AX=XB\}$ is a vector subspace of $\mathbb{R}^{2\times 2}$.

We have that it is non-empty, since the zero matrix belongs to $U$ : $AO=O=OB$.

Let $X_1, X_2\in U$ then $AX_1=X_1B$ and $AX_2=X_2B$.
We have that $A(X_1+X_2)=AX_1+AX_2=X_1B+X_2B=(X_1+X_2)B$, and so $X_1+X_2\in U$.

Let $\lambda \in \mathbb{R}$.
We have that $A(\lambda X_1)=\lambda (AX_1)=\lambda (X_1B)=(\lambda X_1)B$,and so $\lambda X_1\in U$.

Is everything correct? (Wondering)

Looks good to me!
Then when $A=\begin{pmatrix}a_1 & 0 \\ a_3 & a_4\end{pmatrix}$ and $B=\begin{pmatrix}b_1 & b_2 \\ 0 & b_4\end{pmatrix}$ I want to show that $$U=\{0\} \iff \{a_1, a_4\}\cap \{b_1, b_4\}=\emptyset$$

We have that $$AX=\begin{pmatrix}a_1 & 0 \\ a_3 & a_4\end{pmatrix}\begin{pmatrix}x_1 & x_2 \\ x_3 & x_4\end{pmatrix}=\begin{pmatrix}a_1x_1 & a_1x_2 \\ a_3x_1+a_4x_3 & a_3x_2+a_4x_4\end{pmatrix}$$
and
$$XB=\begin{pmatrix}x_1 & x_2 \\ x_3 & x_4\end{pmatrix}\begin{pmatrix}b_1 & b_2 \\ 0 & b_4\end{pmatrix}=\begin{pmatrix}x_1b_1 & x_1b_2+x_2b_4 \\ x_3b_1 & x_3b_2+x_4b_4\end{pmatrix}$$

So, $$AX=XB \Rightarrow \begin{pmatrix}a_1x_1 & a_1x_2 \\ a_3x_1+a_4x_3 & a_3x_2+a_4x_4\end{pmatrix}=\begin{pmatrix}x_1b_1 & x_1b_2+x_2b_4 \\ x_3b_1 & x_3b_2+x_4b_4\end{pmatrix} \\ \Rightarrow \left\{\begin{matrix}
a_1x_1=x_1b_1 \\
a_1x_2=x_1b_2+x_2b_4 \\
a_3x_1+a_4x_3=x_3b_1 \\
a_3x_2+a_4x_4=x_3b_2+x_4b_4
\end{matrix}\right.\Rightarrow \left\{\begin{matrix}
(a_1-b_1)x_1=0 \\
(a_1-b_4)x_2=x_1b_2 \\
a_3x_1=x_3(b_1-a_4) \\
a_3x_2=x_3b_2+x_4(b_4-a_4)
\end{matrix}\right.$$

For the direction $\Leftarrow$ we have that $\{a_1, a_4\}\cap \{b_1, b_4\}=\emptyset$, so we have the following:
Since $a_1\neq b_1$ it must be $(a_1-b_1)x_1=0 \Rightarrow x_1=0$.
From the second equation we have $(a_1-b_4)x_2=x_1b_2\Rightarrow (a_1-b_4)x_2=0$, since $a_1\neq b_4$ it follows that $x_2=0$.
From the third equation we have that $a_3x_1=x_3(b_1-a_4)\Rightarrow x_3(b_1-a_4)=0$, since $b_1\neq a_4$ it follows that $x_3=0$.
From the last equation we have $a_3x_2=x_3b_2+x_4(b_4-a_4)\Rightarrow 0=x_4(b_4-a_4)$, since $b_4\neq a_4$ it follows that $x_4=0$.

Therefore, the matrix $X$ is the zero matrix, and so $U=\{0\}$, right? (Wondering)

Looks great!

How can we show the other direction? (Wondering)
When we have the zero matrix, doesn't it hold for every $A$ and $B$ ? (Wondering)

That's not quite the right way of looking at it, so far as I can make out. The thing is, your $U$ is dependent on your choice of $A$ and $B$. That is, you really have this:
$$U(A,B)=\left\{X\in \mathbb{R}^{2\times 2}\mid AX=XB\right\}.$$
Saying that $U=\{0\}$ is really saying that ONLY the zero matrix allows $AX=XB$ for that choice of $A$ and $B$. In other words, for your choice of $A$ and $B$, $AX=XB$ implies $X=0$. Does that help?
 
Ackbach said:
That's not quite the right way of looking at it, so far as I can make out. The thing is, your $U$ is dependent on your choice of $A$ and $B$. That is, you really have this:
$$U(A,B)=\left\{X\in \mathbb{R}^{2\times 2}\mid AX=XB\right\}.$$
Saying that $U=\{0\}$ is really saying that ONLY the zero matrix allows $AX=XB$ for that choice of $A$ and $B$. In other words, for your choice of $A$ and $B$, $AX=XB$ implies $X=0$. Does that help?

So, do we want to show that $X=0$ is the only solution that allows $AX=XB$ for the given matrices $A$ and $B$ and with the restriction $\{a_1, a_4\}\cap \{b_1, b_2\}=\emptyset$ ? (Wondering)
 
mathmari said:
So, do we want to show that $X=0$ is the only solution that allows $AX=XB$ for the given matrices $A$ and $B$ and with the restriction $\{a_1, a_4\}\cap \{b_1, b_2\}=\emptyset$ ? (Wondering)

Actually, I think that's what you've already shown. I think what you want to show now is this:

Given that $A$ and $B$ are of the form above, and that the set $U=\{X\mid AX=XB\}$ is the singleton set $U=\{0\}$, prove that $\{a_1, a_4\} \cap \{b_1, b_2\} = \emptyset$.
 
Ackbach said:
Actually, I think that's what you've already shown. I think what you want to show now is this:

Given that $A$ and $B$ are of the form above, and that the set $U=\{X\mid AX=XB\}$ is the singleton set $U=\{0\}$, prove that $\{a_1, a_4\} \cap \{b_1, b_2\} = \emptyset$.

So, for the direction $\Rightarrow$ we do the following:

We have the system \begin{equation*}\left\{\begin{matrix}
(a_1-b_1)x_1=0 \\
b_2x_1+(b_4-a_1)x_2=0 \\
a_3x_1+(a_4-b_1)x_3=0 \\
a_3x_2+(-b_2)x_3+(a_4-b_4)x_4=0
\end{matrix}\right.\end{equation*}

From the first equation we have that if $a_1=b_1$ then it would exist infinitely many $x_1$ such that $(a_1-b_1)x_1=0$. But $x_1$ must have only the value $0$, therefore it must be $a_1\neq b_1$.

From the second equation we have that, since $x_1=0$, then if $a_1=b_4$ then it would exist infinitely many $x_2$ such that $(b_4-a_1)x_2=0$. But $x_2$ must have only the value $0$, therefore it must be $a_1\neq b_4$.

From the third equation we have that, since $x_1=x_2=0$, then if $a_4=b_1$ then it would exist infinitely many $x_3$ such that $(a_4-b_1)x_3=0$. But $x_3$ must have only the value $0$, therefore it must be $a_4\neq b_1$.

From the last equation we have that, since $x_1=x_2=x_3=0$, then if $a_4=b_4$ then it would exist infinitely many $x_4$ such that $(a_4-b_4)x_4=0$. But $x_4$ must have only the value $0$, therefore it must be $a_4\neq b_4$. Is everything correct? Could I improve something? (Wondering)
 
I think you've got it! Yeah, there might be some cutesy, ridiculously short way to do it, but I'm not always so much in favor of those sorts of methods as some. If you can do the straight-forward method, just do that!
 
Ackbach said:
I think you've got it! Yeah, there might be some cutesy, ridiculously short way to do it, but I'm not always so much in favor of those sorts of methods as some. If you can do the straight-forward method, just do that!

Ok! Thank you very much! (Happy)
 
OK, one economy I can think of is that your four paragraphs are all using essentially the same argument. So, after your first paragraph, you could say something like, "Similarly, given that the factors $(b_4-a_1), \; (a_4-b_1), \;$ and $(a_4-b_4)$ all appear in the linear system, the quantities $a_1$ and $b_4$, $a_4$ and $b_1$, and $a_4$ and $b_4$ must be distinct." Whether this shortcut is acceptable to your teacher or not is something you have to gauge.
 

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