All 2x2 Hermitian and Unitary Matrices (Check My Proof)

RJLiberator
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Homework Statement


Find all 2x2 Matrices which are both hermitian and unitary.

Homework Equations


Conditions for Matrix A:
A=A^†
A^†A=I
I = the identity matrix
† = hermitian conjugate

The Attempt at a Solution



1. We see by the conditions that A^† = A and by the second condition, we see that AA=I. So we write:

(\begin{pmatrix}
a & b\\
c & d
\end{pmatrix}\begin{pmatrix}
a & b\\
c & d
\end{pmatrix})= \begin{pmatrix}
1 & 0\\
0 & 1
\end{pmatrix}

Which sets us up with:
2. Solve
\begin{pmatrix}
a^2+bc & ab+bd\\
ca+dc & cb+d^2
\end{pmatrix}=\begin{pmatrix}
1 & 0\\
0 & 1
\end{pmatrix}

3. So our system:
cb+d^2=1
a^2+bc=1
ab+bd=0
ca+dc=0

4. In solving, we see that a= +/1, b=+/-1 and c,d = 0.

So we get 4 total matrices that are diagonal and all possible values +/-1.
Is this correct? Am I forgetting anything? Any complex elements am I forgetting to check?
 
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RJLiberator said:
3. So our system:
cb+d^2=1
a^2+bc=1
ab+bd=0
ca+dc=0

4. In solving, we see that a= +/1, b=+/-1 and c,d = 0.

The 3rd and 4th equations require ##d=-a## if either ##b## or ##c## is nonzero, so there are more solutions, which include imaginary components .
 
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Damn, I was afraid of that.

Well, if d=-a. Then bc=1.

There seems to be a lot of solutions...

I'll have to write the general answer down then.

a=-d, and bc=1
 
RJLiberator said:
Damn, I was afraid of that.

Well, if d=-a. Then bc=1.

There seems to be a lot of solutions...

I'll have to write the general answer down then.

a=-d, and bc=1

Since the matrix is Hermitian, ##c =\bar{b}##, and ##a## is real, so you should have a condition ##a^2 + |b|^2 =1##. You can solve this with trig functions.
 
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There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...

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