Academy
Fundamental Theorem
Level 1 - Math I (Physics) topic page in Complex Equations.
Principle
The fundamental theorem of algebra says that complex numbers are large enough to solve every non-constant polynomial equation at least once.
The coefficients may be real or complex. Once one root is found, the polynomial can be divided by the corresponding linear factor, and the process can continue.
Notation
- \(p(z)\) is a polynomial in the complex variable \(z\).
- \(n\) is the degree of the polynomial when \(a_n\ne0\).
- \(z_0\) is a root if \(p(z_0)=0\).
- A repeated root is counted with multiplicity.
Method
The theorem gives existence, not a formula. It is used as a counting and checking tool.
If \(z_0\) is a root, then \(z-z_0\) is a factor:
The new polynomial \(q(z)\) has degree one less than \(p(z)\). Repeating this idea gives a complete factorisation over \(\mathbb C\):
Some of the roots \(z_1,z_2,\ldots,z_n\) may be equal.
Rules
- Every non-constant complex polynomial has at least one complex root.
- A degree \(n\) polynomial has \(n\) complex roots counted with multiplicity.
- Real-coefficient polynomials have non-real roots in conjugate pairs.
- The theorem does not say that roots can always be written by a simple formula.
Examples
Solve the polynomial equation:
Let \(w=z^3\). Then the equation becomes:
Use the quadratic formula:
So the original equation splits into two cubic equations:
Each cubic has three complex roots, so together they produce six roots. That matches the degree-six count predicted by the theorem.
For \(z^3=1+i\), the roots are:
For \(z^3=1-i\), the roots are:
Checks
- Count roots with multiplicity when comparing with the degree.
- For real coefficients, check that non-real roots come with their conjugates.
- Do not use the theorem for transcendental equations such as \(e^z=1\).
- Treat the theorem as an existence and counting result, not as a root-finding algorithm.