Help with matrix form of the imaginary unit, i

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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.
 
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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.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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