Finding an orthonormal basis of V

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Homework Help Overview

The problem involves finding an orthonormal basis for the vector space of 2 x 2 matrices with real entries, utilizing a defined inner product based on the trace of the product of matrices. The original poster has completed several preliminary steps but is struggling with the final part of the task.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to identify matrices that could form an orthonormal basis but expresses concern about not using previously established results. Some participants question the necessity of deducing the basis from earlier steps and suggest alternative matrices that might simplify the process. Others note that while the proposed matrices are orthogonal, they are not orthonormal and discuss how to correct this.

Discussion Status

The discussion is ongoing, with participants exploring different approaches to establish an orthonormal basis. There is a recognition that the inner product function previously defined will be essential in demonstrating the orthonormality of the chosen matrices. Suggestions have been made to consider the standard basis for the vector space as a potential solution.

Contextual Notes

Participants are navigating the constraints of the problem, including the requirement to connect the final answer to earlier proofs and the need to demonstrate orthonormality using the defined inner product.

Unredeemed
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I've done most of this question apart from the very last bit. I have an answer to the very last bit, but it doesn't use any of my previously proved statements and I think they probably mean me to deduce from what I already have.

Homework Statement


Let V be the finite-dimensional vector space of 2 x 2 matrices with real entries.

State, without proof, the dimension of V as a real vector space. (done)

A real-valued function V x V is defined by:

<A|B> = tr((A^t)B) where A^t is the transpose of the matrix A.

Show that <A|B> defines an inner product on V. (done)

Show that, with respect to this inner product, any symmetric matrix is orthogonal to any antisymmetric matrix, and that the identity matrix is orthogonal to any matrix whose trace is zero. (done)

Find an orthonormal basis of V. (bit I can't do)


Homework Equations





The Attempt at a Solution



I thought I could just write down:

\begin{equation}
\begin{pmatrix}
1 & 0 \\
0 & 1
\end{pmatrix}
\end{equation}
\begin{equation}
\begin{pmatrix}
1 & 0 \\
0 & -1
\end{pmatrix}
\end{equation}
\begin{equation}
\begin{pmatrix}
0 & -1 \\
1 & 0
\end{pmatrix}
\end{equation}
\begin{equation}
\begin{pmatrix}
0 & 1 \\
1 & 0
\end{pmatrix}
\end{equation}

And then show that it's an orthonormal basis. But, this obviously doesn't use what I've already proved. How can I deduce it from what I already have?

Cheers.
 
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Why do you have to deduce it from the previous steps? And note that, while your examples are orthogonal, they aren't orthonormal, although that's easy to fix. What about the four matrices like this one$$
\begin{pmatrix} 1 & 0\\0 & 0\end{pmatrix}$$which might be slightly easier to show are a basis.
 
Unredeemed said:
And then show that it's an orthonormal basis. But, this obviously doesn't use what I've already proved. How can I deduce it from what I already have?
But you will need to use the function you showed was an inner product to show your choice of matrices form an orthonormal basis. Plus it looks like you already did use some of what you proved in choosing those matrices.
 
LCKurtz said:
Why do you have to deduce it from the previous steps? And note that, while your examples are orthogonal, they aren't orthonormal, although that's easy to fix. What about the four matrices like this one$$
\begin{pmatrix} 1 & 0\\0 & 0\end{pmatrix}$$which might be slightly easier to show are a basis.

Oh yeah, good point, they are only orthogonal.

vela said:
But you will need to use the function you showed was an inner product to show your choice of matrices form an orthonormal basis. Plus it looks like you already did use some of what you proved in choosing those matrices.

So, as LCKurtz suggested, I should just use the standard basis for V and show that <A|B>=0 for A≠B and 1 for A=B?
 
Unredeemed said:
Oh yeah, good point, they are only orthogonal.



So, as LCKurtz suggested, I should just use the standard basis for V and show that <A|B>=0 for A≠B and 1 for A=B?

Yes. Although your original matrices can be normalized to work too.
 

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