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Polynomials: The Swiss Army Knife of Algebra

MMathyard Team·31 March 2026·2 min read

A polynomial is an expression formed by adding terms of the form axⁿ, where a is a coefficient and n is a non-negative integer. A linear expression (x + 3) is a degree-1 polynomial. A quadratic (x² + 2x − 5) is degree 2. A cubic (x³ − x) is degree 3. The degree of the polynomial is the highest power present. Key skills include expanding, factorising, finding roots (values of x where the polynomial equals zero), and dividing polynomials. The fundamental theorem of algebra guarantees that a degree-n polynomial has exactly n roots (counting complex numbers and multiplicities).

The dramatic history of cubic and quartic formulas

Ancient Babylonian mathematicians could solve quadratic equations. The cubic (degree 3) resisted general solution for thousands of years. In the 1530s, Italian mathematicians Niccolò Fontana Tartaglia and Gerolamo Cardano were embroiled in a dramatic dispute over who deserved credit for the general cubic formula — accusations of broken promises and stolen work made it one of the most colourful controversies in mathematical history. Lodovico Ferrari, a student of Cardano's, solved the quartic (degree 4) shortly after. Then, in the early 19th century, Norwegian Niels Henrik Abel and Frenchman Évariste Galois (who died in a duel at 20) proved that no general algebraic formula can solve degree-5 or higher polynomials — a profound and surprising result.

Polynomials in practice

Computer graphics and animation use Bézier curves — polynomial curves defined by control points — to draw smooth paths and surfaces. Every curve in a vector graphic (logos, fonts, illustrations) is defined by polynomials. Engineers use polynomial interpolation to fit smooth curves to measured data points. Economists model cost, revenue, and demand using polynomial functions. The trajectories of spacecraft are calculated using polynomial approximations. Signal processing uses polynomials (in the form of the z-transform) to design digital filters. Even the error-correcting codes that protect data on hard drives and optical discs are built from polynomial algebra.


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Mathyard Team

The Mathyard team builds tools to help students and teachers get more out of maths practice.