Basis for set of 2x2 complex symmetric matrices

In summary, the set of all 2x2 complex symmetric matrices has a basis of 3 matrices: \left(\begin{array}{cc}1 & 0\\0 & 0\end{array}\right),\left(\begin{array}{cc}0 & 1\\1 & 0\end{array}\right),\left(\begin{array}{cc}0 & 0\\0 & 1\end{array}\right). The dimension of this set is 3, as complex scalar multiplication allows for the combination of these three matrices to obtain any other matrix in the set. If the vector space is
  • #1
csnsc14320
57
1

Homework Statement



Give the basis and dimension of the set of all 2x2 complex symmetric matrices.

Homework Equations





The Attempt at a Solution



I know that if the coefficients were real, then I could just have the basis

[tex]
\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right),

\left(
\begin{array}{cc}
0 & 1\\
1 & 0
\end{array}
\right),

\left(
\begin{array}{cc}
0 & 0\\
0 & 1
\end{array}
\right)
[/tex]

but if the entries of the matrix can be in the form of a+bi, where a and b are real numbers, do I need three SEPARATE matrices with "i" coefficients or can i combine them somehow?

i.e., extend the dimension to 6 by:

[tex]
\left(
\begin{array}{cc}
i & 0\\
0 & 0
\end{array}
\right)

\left(
\begin{array}{cc}
0 & i\\
i & 0
\end{array}
\right)

\left(
\begin{array}{cc}
0 & 0\\
0 & i
\end{array}
\right)
[/tex]

and thus my dimension would be 6?
 
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  • #2
I think that you can combine them with complex scalar multiplication.

e.g.

[tex]
\left(
\begin{array}{cc}
i & 0\\
0 & 0
\end{array}
\right)=i
\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right)[/tex]
 
  • #3
aPhilosopher said:
I think that you can combine them with complex scalar multiplication.

e.g.

[tex]
\left(
\begin{array}{cc}
i & 0\\
0 & 0
\end{array}
\right)=i
\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right)[/tex]

but then that wouldn't span the space?

if i wanted the matrix [tex] \left(
\begin{array}{cc}
1 & 3-2i\\
3-2i & 16-i
\end{array}
\right)[/tex]

wouldnt i need:
[tex]
\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right) + 3\left(
\begin{array}{cc}
0 & 1\\
1 & 0
\end{array}
\right) - 2\left(
\begin{array}{cc}
0 & i\\
i & 0
\end{array}
\right) + 16\left(
\begin{array}{cc}
0 & 0\\
0 & 1
\end{array}
\right) -\left(
\begin{array}{cc}
0 & 0\\
0 & i
\end{array}
\right)[/tex]

I don't see a way of obtaining this matrix without having a 6 dimensional basis where the 1's and i's are separated?
 
  • #4
csnsc14320 said:
but then that wouldn't span the space?

if i wanted the matrix [tex] \left(
\begin{array}{cc}
1 & 3-2i\\
3-2i & 16-i
\end{array}
\right)[/tex]

wouldnt i need:
[tex]
\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right) + 3\left(
\begin{array}{cc}
0 & 1\\
1 & 0
\end{array}
\right) - 2\left(
\begin{array}{cc}
0 & i\\
i & 0
\end{array}
\right) + 16\left(
\begin{array}{cc}
0 & 0\\
0 & 1
\end{array}
\right) -\left(
\begin{array}{cc}
0 & 0\\
0 & i
\end{array}
\right)[/tex]

I don't see a way of obtaining this matrix without having a 6 dimensional basis where the 1's and i's are separated?

wait a minute... multiplying by "i" is allowed isn't it? in which case I would have:

[tex]
i^3
\left(
\begin{array}{cc}
i & 0\\
0 & 0
\end{array}
\right) + 3i^3\left(
\begin{array}{cc}
0 & i\\
i & 0
\end{array}
\right) - 2\left(
\begin{array}{cc}
0 & i\\
i & 0
\end{array}
\right) + 16i^3\left(
\begin{array}{cc}
0 & 0\\
0 & i
\end{array}
\right) -\left(
\begin{array}{cc}
0 & 0\\
0 & i
\end{array}
\right)[/tex]

in which case, my dimension would be 3, or just the three matrices with i's since i can obtain the 1's by a multiplication of i^3?

i think that's w hat you were getting at aPhiliosopher - i don't think i understood what you meant the first time i read it
 
  • #5
[tex]

\left(
\begin{array}{cc}
1 & 3-2i\\
3-2i & 16-i
\end{array}
\right)
=

\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right) + (3 - 2i)


\left(
\begin{array}{cc}
0 & 1\\
1 & 0
\end{array}
\right) + (16 - i)

\left(
\begin{array}{cc}
0 & 0\\
0 & 1
\end{array}
\right)
[/tex]
 
  • #6
aPhilosopher said:
[tex]

\left(
\begin{array}{cc}
1 & 3-2i\\
3-2i & 16-i
\end{array}
\right)
=

\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right) + (3 - 2i)


\left(
\begin{array}{cc}
0 & 1\\
1 & 0
\end{array}
\right) + (16 - i)

\left(
\begin{array}{cc}
0 & 0\\
0 & 1
\end{array}
\right)
[/tex]

i make things too difficult :p

so just the 1's would work then. i forgot about multiplying by i.

thanks!
 
  • #7
What is the basis of the vector space over the field of reals?
 
  • #8
Phrak said:
What is the basis of the vector space over the field of reals?


[tex]
\left(
\begin{array}{cc}
1 & 0\\
0 & 0
\end{array}
\right),

\left(
\begin{array}{cc}
0 & 1\\
1 & 0
\end{array}
\right),

\left(
\begin{array}{cc}
0 & 0\\
0 & 1
\end{array}
\right)
[/tex]

which should also be the basis over the complex too since i can just multiply by multiples of i as well
 
  • #9
Nooooo, that's not a basis over the reals.

You had it right before I got here if you want it over the reals.

I shouldn't have assumed it was over the complex field.
 
  • #10
aPhilosopher said:
Nooooo, that's not a basis over the reals.

You had it right before I got here if you want it over the reals.

Thanks, aPhilosoper. I wasn't really sure. :smile:
 
  • #11
aPhilosopher said:
Nooooo, that's not a basis over the reals.

You had it right before I got here if you want it over the reals.

I shouldn't have assumed it was over the complex field.

i want it over the complex?
 
  • #12
Well, you're going to have to tell me. Technically, this is an incompletely specified problem. Is this vector space over the real or complex numbers? I would assume complex but don't really have a clue because it could go either way. At any rate, that question gives you your answer to what scalars are allowed in linear combinations. If you can't use complex numbers, then you have to have the three additional basis vectors that are just i times the first three.Thanks for pointing this out Phrack.
 
  • #13
aPhilosopher said:
Well, you're going to have to tell me. Technically, this is an incompletely specified problem. Is this vector space over the real or complex numbers? I would assume complex but don't really have a clue because it could go either way. At any rate, that question gives you your answer to what scalars are allowed in linear combinations. If you can't use complex numbers, then you have to have the three additional basis vectors that are just i times the first three.


Thanks for pointing this out Phrack.

its a vector space over the complex :D

and can have complex entries
 

1. What is a complex symmetric matrix?

A complex symmetric matrix is a square matrix where the elements are complex numbers and the matrix is equal to its transpose. This means that the matrix is symmetric along the main diagonal and the elements above and below the diagonal are conjugates of each other.

2. What is the basis for a set of 2x2 complex symmetric matrices?

The basis for a set of 2x2 complex symmetric matrices is a set of linearly independent matrices that can be used to represent any 2x2 complex symmetric matrix through linear combinations. In other words, any 2x2 complex symmetric matrix can be written as a linear combination of the basis matrices.

3. How many basis matrices are needed for a set of 2x2 complex symmetric matrices?

In general, a set of 2x2 complex symmetric matrices will require 3 basis matrices. This is because a complex symmetric matrix has 4 elements, but the matrix must also be equal to its transpose, reducing the number of independent elements to 3.

4. How do you determine the basis matrices for a set of 2x2 complex symmetric matrices?

The basis matrices for a set of 2x2 complex symmetric matrices can be determined by setting up a system of equations using the elements of a general 2x2 complex symmetric matrix. The equations will have to satisfy the properties of a complex symmetric matrix, such as being equal to its transpose, and the solutions to the system will be the basis matrices.

5. Can the basis for a set of 2x2 complex symmetric matrices be generalized for larger matrices?

Yes, the basis for a set of 2x2 complex symmetric matrices can be generalized for larger matrices. The process of determining the basis matrices will be the same, but the number of basis matrices needed will depend on the size of the matrix. For example, a set of 3x3 complex symmetric matrices will require 6 basis matrices.

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