Matrices satisfying certain relations

In summary, the conversation is discussing matrices a, b, and c that satisfy the given equations, and how to find solutions for a 3x3 diagonalizable matrix. It is noted that a, b, and c must all be diagonal matrices and have each other's eigenvalues and eigenvectors. The conversation concludes with the observation that the solution a=b=c=M is immediately apparent, and the remaining solutions must be determined.
  • #1
neginf
56
0
How do you find matrices a,b,c satisfying
a=b*c*b^-1
b=c*a*c^-1
c=a*b*a^-1 ?
 
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  • #2
If you know what's diagonalization, you can skip this.


For a to be diagonalizable, A=PDP^-1, where

P is an invertible matrix whose columns are A's eigenvector (order of these columns doesn't matter). C is a diagonal matrix that has all A's eigenvalues

So for a 3x3 diagonalizable matrix
D=
λ1 0 0
0 λ2 0
0 0 λ3

λ{1,2,3} are A's eigenvalues

P=
[v1 v2 v3]
v{1,2,3} are A's eigenvectors

From those 3 equations in your post you can see that a, b and c have to be all diagonal matrices.

Also, a has to have b's eigenvalues, b has to have c's eigenvalues and c has to have a's eigenvalues. And of course, a has to have c's eigenvectors... etc

Not sure how i would start solving this, but I hope this helps.
 
  • #3
aija said:
From those 3 equations in your post you can see that a, b and c have to be all diagonal matrices.

Hi Aija, your statement above is just wrong. From those 3 equations, you should immeditately observe the solution a=b=c=M, where M is any invertible matrix, and the "problem" is to determine the remaining solutions, if any.
 

1. What are some common examples of matrices satisfying certain relations?

Some common examples include identity matrices, diagonal matrices, symmetric matrices, and orthogonal matrices.

2. How can we determine if a matrix satisfies a specific relation?

To determine if a matrix satisfies a specific relation, we can perform operations on the matrix, such as matrix multiplication or transposition, and compare the resulting matrix to the given relation. If the resulting matrix matches the given relation, then the original matrix satisfies that relation.

3. What is the importance of matrices satisfying certain relations in mathematics?

Matrices satisfying certain relations play a crucial role in many mathematical concepts, such as linear transformations, eigenvectors and eigenvalues, and solving systems of linear equations. They also have applications in fields such as physics, engineering, and computer science.

4. Can a matrix satisfy multiple relations at the same time?

Yes, it is possible for a matrix to satisfy multiple relations at the same time. For example, a diagonal matrix can also be symmetric and orthogonal.

5. How are matrices satisfying certain relations used in data analysis?

In data analysis, matrices satisfying certain relations are used to represent and manipulate data sets. For example, a covariance matrix can be used to analyze the relationships between different variables in a data set. Additionally, matrix decompositions such as singular value decomposition and principal component analysis rely on matrices satisfying certain relations to simplify and extract meaningful information from large data sets.

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