Mathematician solves algebra’s oldest problem using intriguing new number sequences (2025)

Radical rejection behind new method

The issue, he says, lies in the classical formula’s use of third or fourth roots, which are radicals.

The radicals generally represent irrational numbers, which are decimals that extend to infinity without repeating and can’t be written as simple fractions. For instance, the answer to the cubed root of seven,3√7 = 1.9129118… extends forever.

Prof. Wildberger says this means that the real answer can never be completely calculated because “you would need an infinite amount of work and a hard drive larger than the universe”.

So, when we assume3√7 'exists' in a formula, we’re assuming that this infinite, never-ending decimal is somehow a complete object.

This is why, Prof. Wildberger says, he “doesn’t believe in irrational numbers.”

Irrational numbers, he says, rely on an imprecise concept of infinity and lead to logical problems in mathematics.

Prof. Wildberger’s rejection of radicals inspired his best-known contributions to mathematics, rational trigonometry and universal hyperbolic geometry. Both approaches rely on mathematical functions like squaring, adding, or multiplying, rather than irrational numbers, radicals, or functions like sine and cosine.

His new method to solve polynomials also avoids radicals and irrational numbers, relying instead on special extensions of polynomials called ‘power series’, which can have an infinite number of terms with the powers ofx.

By truncating the power series, Prof. Wildberger says, they were able to extract approximate numerical answers to check that the method worked.

“One of the equations we tested was a famous cubic equation used by Wallis in the 17th century to demonstrate Newton's method. Our solution worked beautifully,” he said.

New geometry for a general solution

However, Prof. Wildberger says the proof for the method is, ultimately, based on mathematical logic.

His method uses novel sequences of numbers that represent complex geometric relationships. These sequences belong to combinatorics, a branch of mathematics that deals with number patterns in sets of elements.

The most famous combinatorics sequence, called the Catalan numbers, describes the number of ways you can dissect a polygon, which is any shape with three or more sides, into triangles.

The numbers have important practical applications, including in computer algorithms, data structure designs, and game theory. They even appear in biology, where they’re used to help count the possible folding patterns of RNA molecules. And they can be calculated using a simple two-degree polynomial.

“The Catalan numbers are understood to be intimately connected with the quadratic equation. Our innovation lies in the idea that if we want to solve higher equations, we should look for higher analogues of the Catalan numbers.”

Prof. Wildberger’s work extends these Catalan numbers from a one-dimensional to multi-dimensional array based on the number of ways a polygon can be divided using non-intersecting lines.

“We’ve found these extensions, and shown how, logically, they lead to a general solution to polynomial equations.

“This is a dramatic revision of a basic chapter in algebra.”

Even quintics – a degree five polynomial – now have solutions, he says.

Aside from theoretical interest, he says, the method holds practical promise for creating computer programs that can solve equations using the algebraic series rather than radicals.

“This is a core computation for much of applied mathematics, so this is an opportunity for improving algorithms across a wide range of areas.”