Solving Sets of Matrices for Proving Equivalence Relation

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Homework Help Overview

The discussion revolves around proving that a relation defined on sets of matrices is an equivalence relation. The sets in question are defined with specific properties, and the relation involves the existence of a matrix that transforms one matrix into another through conjugation.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the properties of equivalence relations, specifically reflexivity, symmetry, and transitivity. They discuss the implications of the relation defined by matrix conjugation and question how to demonstrate these properties effectively.

Discussion Status

Participants have raised various attempts to establish the reflexive, symmetric, and transitive properties of the relation. Some have suggested specific matrices to consider, while others have pointed out potential oversights in reasoning. There is an ongoing exploration of whether certain assumptions about the sets of matrices can be taken for granted.

Contextual Notes

There is a noted concern regarding the properties of the set of matrices, particularly whether it forms a group under multiplication, which may need to be established as part of the proof. Additionally, participants are considering the implications of the determinant condition for matrices in set M.

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Homework Statement


If there are two sets of matrices ##S = \begin{Bmatrix} \begin{bmatrix} a & b \\ c & d \end{bmatrix} | a, b, c, d \in \mathbb{C} \end{Bmatrix} ## and
##M = \begin{Bmatrix} \begin{bmatrix} a & b \\ -\overline{b} & \overline{a} \end{bmatrix} | a, b \in \mathbb{C} \wedge |a| + |b| \neq 0 \end{Bmatrix} ##

Then, for every ## X, Y \in S##

##X \rho Y \Longleftrightarrow ( \exists A \in M) AXA^{-1}= Y ##

It's AXA-1 up here, even though -1 doesn't seem like exponent.
Mod note: It's fixed now. In LaTeX, when an exponent consists of more than one character, put braces around the exponent. IOW, like this A^{-1}.
Prove that ## \rho ## is equivalence relation.

Homework Equations

The Attempt at a Solution


Now, i know that in relation is equivalence if it's reflexive, symmetric and transitive, but i got the problem at the very beginning, i mean if it's reflexive then:

AXA-1=X

multiplying both sides by A on the right side i have

AX=XA but that proves nothing since multiplying of matrices isn't commutative. Any ideas?
 
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cdummie said:
Now, i know that in relation is equivalence if it's reflexive, symmetric and transitive, but i got the problem at the very beginning, i mean if it's reflexive then:

AXA-1=X

multiplying both sides by A on the right side i have

AX=XA but that proves nothing since multiplying of matrices isn't commutative. Any ideas?
The condition for two matrices to be equivalent is ##X \rho Y \Longleftrightarrow ( \exists A \in M) AXA^{-1}= Y ##
See the ##\exists A##?
##AXA^{-1}= Y## doesn't have to be true for all matrices ##A## for ##X## and ##Y## to be equivalent.
 
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Samy_A said:
The condition for two matrices to be equivalent is ##X \rho Y \Longleftrightarrow ( \exists A \in M) AXA^-1= Y ##
See the ##\exists A##?
##AXA^-1= Y## doesn't have to be true for all matrices ##A## for ##X## and ##Y## to be equivalent.
I know, finding at least one matrix from M that fits into this would be enough, but, how can i do that?
 
cdummie said:
I know, finding at least one matrix from M that fits into this would be enough, but, how can i do that?
Given a matrix ##X##, you need to find one matrix ##A## satisfying ##AXA^{-1}=X##. I think you are overthinking this one: actually, you can pick the "simplest" matrix there is, if we exclude the 0 matrix.
 
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Samy_A said:
Given a matrix ##X##, you need to find one matrix ##A## satisfying ##AXA^{-1}=X##. I think you are overthinking this one: actually, you can pick the "simplest" matrix there is, if we exclude the 0 matrix.

Oh i see it's unit matrix, but is there a way to find it algebraically?

Now, for the symmetry, i have:

## (\forall X, Y \in S) X \rho Y \Longleftrightarrow (\exists A \in M) AXA^{-1}=Y \Longleftrightarrow AX=YA \Longleftrightarrow X=A^{-1}YA ##

And that's all i have, and this isn't proving symmetry.
 
cdummie said:
Oh i see it's unit matrix, but is there a way to find it algebraically?
Yes, the unit matrix will do. I don't think you can find it algebraically in this context.
cdummie said:
Now, for the symmetry, i have:

## (\forall X, Y \in S) X \rho Y \Longleftrightarrow (\exists A \in M) AXA^{-1}=Y \Longleftrightarrow AX=YA \Longleftrightarrow X=A^{-1}YA ##

And that's all i have, and this isn't proving symmetry.
Well, you are very close. Having ##A \in M## satisfying ##AXA^{-1}=Y##, you need to find a matrix ##B \in M## satisfying ##BYB^{-1}=X##.
##B## can be a different matrix than ##A##...
 
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Samy_A said:
Yes, the unit matrix will do. I don't think you can find it algebraically in this context.
Well, you are very close. Having ##A \in M## satisfying ##AXA^{-1}=Y##, you need to find a matrix ##B \in M## satisfying ##BYB^{-1}=X##.
##B## can be a different matrix than ##A##...

This is what i thought of when you said that i am very close (correct me if i am wrong):

Since i have ##AXA^{-1}=Y## and i know that matrices in set M are all regular since ## |a| + |b| \neq 0## i could maybe think of matrix that is inverse matrix of A, knowing the following rule that works for all 2x2 matrices: ## A^{-1} = \frac{1}{detA} \begin{bmatrix} a & -b \\ \overline{b} & \overline{a} \end{bmatrix} ##
Now, since all of these are complex numbers it doesn't matter what determinant is as long as it isn't zero, and it is not, otherwise A wouldn't be in the set M in the first place so inverse matrix of A could be the matrix i am looking for.

Now, for the transitivity:

##(\forall X, Y, Z \in S) X \rho Y \land Y \rho Z \Longleftrightarrow (\exists A \in M) AXA^{-1} =Y \land (\exists B \in M) BYB^{-1} =Z \Longrightarrow
BAXA^{-1}B^{-1}=Z##

Since by multiplying B and A and A-1 and B-1 resulting matrices remain in the M, i calculated for AB and it can be equal to some matrix C so C-1 is A-1B-1 which fits perfectly and proves that this relation is transitive and therefore it is equivalence relation. Now, thanks a lot for your help, and please correct me if i made any mistakes here.
 
What you implicitly used is that ##M## is a group, i.e. ##1 ∈ M##, ##(A ∈ M ⇒ A^{-1} ∈ M)## and ## (A,B ∈ M ⇒ AB ∈ M)##. Whether this can be assumed or has to be proven depends on where you start at. The first one is obvious and the second one is almost shown by you. (I think you made a little mistake with the inverse matrix: change ##a## and ##\bar{a}##.) So maybe you have to show the third property, too.
 
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cdummie said:
This is what i thought of when you said that i am very close (correct me if i am wrong):

Since i have ##AXA^{-1}=Y## and i know that matrices in set M are all regular since ## |a| + |b| \neq 0## i could maybe think of matrix that is inverse matrix of A, knowing the following rule that works for all 2x2 matrices: ## A^{-1} = \frac{1}{detA} \begin{bmatrix} a & -b \\ \overline{b} & \overline{a} \end{bmatrix} ##
Now, since all of these are complex numbers it doesn't matter what determinant is as long as it isn't zero, and it is not, otherwise A wouldn't be in the set M in the first place so inverse matrix of A could be the matrix i am looking for.

Now, for the transitivity:

##(\forall X, Y, Z \in S) X \rho Y \land Y \rho Z \Longleftrightarrow (\exists A \in M) AXA^{-1} =Y \land (\exists B \in M) BYB^{-1} =Z \Longrightarrow
BAXA^{-1}B^{-1}=Z##

Since by multiplying B and A and A-1 and B-1 resulting matrices remain in the M, i calculated for AB and it can be equal to some matrix C so C-1 is A-1B-1 which fits perfectly and proves that this relation is transitive and therefore it is equivalence relation. Now, thanks a lot for your help, and please correct me if i made any mistakes here.
Yes, that is correct (except the little mistake in the inverse as noted by @fresh_42).
That the product of two matrices in M is also an element of M can be shown by a straightforward computation.
 
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