Summary
This lesson associates with each complex number the matrix of the transformation of the plane that multiplies by , and proves that this correspondence is injective and turns sums into sums and products into products: the matrices of that form make up a faithful copy of the complex numbers inside the square matrices of order two. In that copy, the imaginary unit is the quarter-turn rotation, whose square is the opposite of the identity; the square of the modulus is the determinant, the conjugate is the transpose, and the inverse is the inverse matrix. The polar form decomposes each of those matrices into a rotation followed by a dilation, and Euler’s and De Moivre’s formulas reappear as the rule for composing rotations. The lesson explains why these matrices commute, even though matrices in general do not, and ends with a first look at Hamilton’s quaternions, whose product is no longer commutative.
Learning objectives
- Obtain the matrix of multiplication by a complex number and prove that the correspondence between complex numbers and matrices preserves the sum and the product.
- Translate into matrices the modulus, the conjugate, the inverse and the polar form of a complex number, and interpret each translation geometrically.
- Compute powers, inverses and roots of complex numbers by means of their matrices, and recognize in Euler’s and De Moivre’s formulas the composition of rotations.
- Explain why the matrices of complex numbers commute with one another, prove that they are the ones that commute with the quarter-turn rotation, and verify with their matrices that the product of quaternions is not commutative.
The matrix of multiplication by a complex number
In the lesson of the course Algebra and Geometry I on the complex numbers, each complex number was identified with the point of the plane, and it was proved that multiplying by rotates each point a quarter turn about the origin. If this is so, multiplying by a fixed complex number is a transformation of the plane, which assigns to each point the point . In the lesson on matrices as transformations of the plane it was proved that a linear transformation is determined by a matrix, whose columns are the images of the vectors and . From this follows the question that guides this lesson: what matrix does multiplication by have, and what is gained by representing each complex number by that matrix?
Let be a fixed complex number. The transformation of the plane that multiplies each complex number by is linear; its matrix has columns and , and, if , it takes the unit square to a square of side .
We expand the product and read the matrix off it. The figure uses .
Proof
We expand the product by distributivity and replace with .
We write the points as column vectors. The coordinates of are combinations of and with fixed coefficients: this is the product of a matrix by the vector of , and the transformation is therefore linear.
The columns of the matrix are the images of and of . The first is ; the second is , the rotation of by a quarter turn.
The unit square, with vertices , , and , is transformed into the quadrilateral with vertices , , and . Its sides from the origin have the same length and are perpendicular: the image is a square of side , rotated with respect to the unit square.
The matrix obtained has a very special form: its two diagonal entries are equal, and the other two are opposite. The matrix of the complex number , with and real, is the matrix of multiplication by :
The first column of is itself, and the second is . On separating the real and imaginary parts of the complex number, the matrix decomposes into a combination of two fixed matrices: the identity , which is the matrix of the number , and the matrix of the number .
Specifically, the real numbers correspond to the multiples of the identity, , which are the dilations with center at the origin, and the purely imaginary numbers to the multiples of . The first entries of the table of correspondences are these.
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