Module 1 of 1 · Lesson 12 of 14
Complex Numbers
The field where every polynomial splits, and the pairing that governs a real matrix spectrum.
What you will be able to do
Given complex numbers in rectangular or polar form, the learner can add, multiply and divide them, take conjugates and moduli, convert between forms, apply De Moivre's theorem to powers and roots, and explain why the non-real eigenvalues of a real matrix arrive in conjugate pairs.
Orientation
The eigenvalue unit reported that a quarter-turn rotation has eigenvalues
This unit supplies them. Adjoining a single solution of
The arithmetic is ordinary once
Simulation
Multiplication by a unit complex number as rotation
Turn the control and watch what multiplying by
What the control establishes is the three-line reading the rest of the unit rests on: modulus is distance, argument is angle, and multiplication scales by the one and turns by the other.
Definition
What the parts are, and why division works
The imaginary part is real. For
Why
is always a nonnegative real. Multiplying a quotient above and below by
This is the same manoeuvre as rationalising
Conjugation is a field homomorphism.
Geometrically it is reflection across the real axis, which is why
No order.
The argument is not unique.
Procedure
Computing in both forms
Multiply by expanding and replacing
Collect the real terms and the
Divide by multiplying above and below by the conjugate of the denominator, then dividing each part by the resulting real number:
Convert to polar.
Convert back.
Powers, by De Moivre.
Roots. The
They sit at equal modulus and equal angular spacing
Checks worth running.
| Check | Catches |
|---|---|
| an arithmetic slip in a product | |
| a sign error in a conjugate | |
| a quotient re-multiplied by the divisor | a division error |
| the truncated root computation | |
| the polar angle plotted against the point's quadrant | the arctan quadrant error |
Worked example
Arithmetic, then the same numbers in polar form
Let
Product.
Expanding term by term:
Check by modulus.
Quotient. Multiply above and below by
Check.
Conjugate and modulus.
real and nonnegative, as it must be.
---
Polar form. Take
Powers by De Moivre.
| modulus | argument | value | |
|---|---|---|---|
| 2 | |||
| 4 | |||
| 8 |
Check
Cube roots of unity. Solving
Each cubes to 1, they are equally spaced around the unit circle, and they sum to 0. The two non-real ones are conjugates, and their real parts
A real quadratic with complex roots.
The roots are conjugates, as real coefficients require. Checking against the coefficients: their sum is
Theorem
Conjugate pairing, and why it governs real matrices
Theorem. Let
Proof. Conjugation respects sums and products, so
where the third equality uses
Corollary (eigenvalues of a real matrix). The characteristic polynomial of a real matrix has real coefficients, so its non-real eigenvalues occur in conjugate pairs
Corollary (eigenvectors too). If
Corollary (odd dimension). A real
Fundamental theorem of algebra. Every non-constant polynomial with complex coefficients has a complex root, and hence factors completely into linear factors over
For matrices this is the statement that a characteristic polynomial always splits over
Worked instance. The rotation
And the dimension is even, so no real eigenvalue is forced, consistent with a plane rotation fixing no real direction.
Example
Numbers whose structure is visible in the plane
The unit imaginary.
A real number.
A number on the unit circle.
The cube roots of unity.
They illustrate two things at once: that
A conjugate pair from a real quadratic.
Eigenvalues of a rotation.
What the plane picture supplies. Modulus is distance, argument is angle, conjugation is reflection in the real axis, multiplication is rotate-and-scale. Every fact in this unit is one of those four read off a diagram, which is why sketching the point is the first move when an arctan or a root count is in doubt.
Non-example
Five errors with complex numbers
Reporting the imaginary part with its
Losing the sign flip in a product. Computing
Comparing complex numbers. Writing
Taking one root instead of
Expecting an unpaired complex eigenvalue from a real matrix. Reporting that a real matrix has eigenvalues
What unites them. The first two are arithmetic with a conceptual cause: not tracking what
Optional enrichment (1)
Application
What a complex eigenvalue tells you about a system
Rotation and scaling in a plane. When a real matrix has eigenvalue
That reading makes the modulus the quantity that matters for long-run behaviour. Iterating
| Behaviour under iteration | |
|---|---|
| spiral outward, unbounded | |
| rotate on a fixed ellipse, bounded and non-convergent | |
| spiral inward to the origin |
The argument sets the period: a full revolution takes
Differential equations. For
The conjugate pairing is what keeps the solutions real: combining
Where this is used. Control engineering places poles, eigenvalues of a system matrix, in the left half plane for stability, and reads the damping from how close they sit to the real axis. Signal processing represents a sinusoid as the real part of
What the pairing does not permit. A real matrix cannot have a lone complex eigenvalue, so a reported spectrum missing a conjugate is an arithmetic error. And a real matrix of odd size must have at least one real eigenvalue, since the non-real ones pair off, which is why every rotation of three-dimensional space has an axis it leaves fixed.