Chapter 3
Theory of Equations
Polynomial equations, Vieta's formulae, nature of roots and Descartes' rule.
1. Polynomials, roots and multiplicity
A polynomial equation of degree can have at most roots. Counting each root as often as it repeats (its multiplicity), it has exactly roots in the complex numbers.
Every polynomial equation of degree has at least one root in . Repeatedly factoring, it splits into exactly linear factors over .
2. Vieta's formulae — roots ↔ coefficients
The roots of a polynomial are locked to its coefficients. You never need to solve the equation to know the sum or product of its roots — Vieta's formulae read them straight off.
3. Forming an equation from its roots
Vieta's formulae run in reverse: given the roots, you can write down the polynomial. For a quadratic with roots :
4. Complex Conjugate Root Theorem
If a polynomial has real coefficients and () is a root, then its conjugate is also a root. Non-real roots always come in pairs.
5. Rational Root Theorem
For hunting exact rational roots, this theorem gives a short finite list of candidates to test.
For a polynomial with integer coefficients, any rational root in lowest terms has dividing the constant term and dividing the leading coefficient .
6. Descartes' Rule of Signs
Before solving, you can bound how many positive and negative real roots are even possible, just by counting sign changes.
- The number of positive real roots equals the sign changes in , or is fewer by an even number.
- The number of negative real roots is found the same way from .
7. Reciprocal & special equations
- If the coefficients sum to zero, then is a root (since sum of coefficients).
- Equations in only even powers reduce to a polynomial in — solve, then take square roots.
- Reciprocal equations have roots in pairs and ; their coefficients read the same forwards and backwards.