Definition
Complex Number
The set of complex numbers is defined as:
where is called the imaginary unit.
The structure forms a field.
Motivation
Algebraically, we defined the set of complex numbers to resolve the fact that certain polynomial equations have no solutions in the set of real numbers .
In , the equation has no solution because the squares of any real number is non-negative. To address this, we introduce an imaginary unit , defined by the property:
A complex number is then defined as an expression of the form:
where . The value is the real part , and is the imaginary part .
Gaussian Plane
The Gaussian plane represents a complex number as a point or vector in the plane.
The horizontal axis is the real part and the vertical axis is the imaginary part.
Forms
The reason there are three different representation (Cartesian, Polar, Matrix) is that each highlights a different mathematical personality of complex numbers: arithmetic, geometry, and linear transformations.
Cartesian (Component) Form
The Cartesian (component) form is:
It treats complex numbers as a 2D vector space over .
Polar Form
Based on the Euler’s formula , complex numbers can be viewed as points in a plane defined by a distance from the origin () and an angle ().
Every non-zero admits a polar representation:
where is called the phase factor of . This identifies multiplication in with a product of a scaling by and a rotation by in the complex plane.
Matrix Form
There’s a structural isomorphism between and a specific subset of real matrices. Thus, we can represent a complex number as:
We map to the identity matrix and to a rotation matrix :
Using that mapping, we can represent with and :
More generally, and can be represented by any pair of matrices and satisfying
Arithmetic
Conjugation
For , the complex conjugate is
It is the unique non-trivial automorphism of over .
Moreover,
Modulus
The modulus is defined by
It satisfies
Addition
For and ,
Addition is performed component-wise.
Additive Inverse: For ,
This satisfies
Multiplication
For and ,
This follows from distributivity and the relation .
Multiplicative Inverse: For ,
This satisfies