Help with matrix form of the imaginary unit, i

AI Thread Summary
The discussion explores the 2x2 matrix representation of complex numbers, specifically how the imaginary unit, i, can be represented using matrices. It explains that the matrix M must satisfy M^2 = -I, leading to multiple possible solutions, but highlights the common choice of the matrix [[0, -1], [1, 0]] due to its convenience. The conversation questions why this specific matrix is preferred over others that also satisfy the equation. It also notes that any matrix of the form U^(-1)[[0, -1], [1, 0]]U, where U is a unitary matrix, can represent the imaginary unit. The discussion emphasizes the variety of representations within mathematical groups, particularly in the context of complex numbers.
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While investigating more about complex numbers today I ran across the 2x2 matrix representation of a complex number, and I was really fascinated. You can read what I read here.

As I understand it, you write z in its binomial form but instead of "1" you use the identity matrix, I, and for i you use a matrix m such that M^2=-I, like with the more usual definition of i.

z =x\cdot 1+y\cdot 1 \cdot i\sim z=x\cdot \begin{bmatrix}1<br /> &amp;0 \\ <br /> 0 &amp; <br /> 1\end{bmatrix} +y\cdot \begin{bmatrix}1<br /> &amp;0 \\ <br /> 0 &amp; <br /> 1\end{bmatrix} \begin{bmatrix}0<br /> &amp;-1 \\ <br /> 1 &amp; <br /> 0\end{bmatrix}=\begin{bmatrix}x<br /> &amp;0 \\ <br /> 0 &amp; <br /> x\end{bmatrix} +\begin{bmatrix}0<br /> &amp;-y \\ <br /> y &amp; <br /> 0\end{bmatrix}=\begin{bmatrix}x<br /> &amp;-y \\ <br /> y &amp; <br /> x\end{bmatrix}

In the "normal" way (the one you learn first, at least in my case) i is defined as follows: i^{2}=-1, the positive solution to the equation x^2+1=0. This equation has two solutions, and by convention i is the positive one.

If we try to solve M^2=-I, then we get infinite possibilites:

M^2=-I \Rightarrow -\begin{bmatrix}1<br /> &amp;0 \\ <br /> 0 &amp;1 <br /> \end{bmatrix}=\begin{bmatrix}a<br /> &amp;b \\ <br /> c&amp;d <br /> \end{bmatrix}\begin{bmatrix}<br /> a&amp;b \\ <br /> c&amp;d <br /> \end{bmatrix}=\begin{bmatrix}a^2+bc<br /> &amp;b(a+d) \\ <br /> c(a+d)&amp; d^2+bc<br /> \end{bmatrix}\Rightarrow \left\{\begin{matrix}a^2+bc=-1<br /> \\ d^2+bc=-1<br /> \\ b(a+d)=0 <br /> \\ c(a+d)=0 <br /> \end{matrix}\right.

There aren't just 2 solutions now. Why is the matrix \begin{bmatrix}<br /> 0&amp; -1\\ <br /> 1&amp;0 <br /> \end{bmatrix} chosen over any of the rest of the matrices that satisfy m^2=-I? What is so convenient about that form over any other? Perhaps i isn't defined only as the solution to m^2=-I, but if so, what am I missing?

Thank you for reading.
 
Mathematics news on Phys.org
Any matrix of the form ##U^{-1}\left[\begin{smallmatrix}0&-1\\1&0\end{smallmatrix}\right]U##, where ##U## is a unitary matrix, can be used to represent the imaginary unit.

Mathematical groups, of which the complex numbers are one example, generally have many different representations as sets of matrices.
 
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