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American Focus > Blog > Tech and Science > Complex knots can actually be easier to untie than simple ones
Tech and Science

Complex knots can actually be easier to untie than simple ones

Last updated: July 15, 2025 9:35 am
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Complex knots can actually be easier to untie than simple ones
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A Breakthrough in Knot Theory: Untangling the Unknotting Numbers

A knotty problem for mathematicians finally has a solution

Pinkybird/Getty Images

Exploring the intricate world of knots, mathematicians have made a groundbreaking discovery that challenges a long-standing conjecture in knot theory. The age-old question of whether untangling two knots is more complex than unravelling a single knot has been turned on its head.

Mark Brittenham, a researcher at the University of Nebraska at Lincoln, recounts the unexpected nature of their findings: “We were looking for a counterexample without really having an expectation of finding one, because this conjecture had been around so long. It was very unexpected and very surprising.”

The study of knots involves unraveling tangled loops with joined ends, each characterized by an unknotting number. This number represents the minimal steps required to transform a knot into an “unknot” – a simple circle with no crossings. Knots can be broken down into prime knots, akin to prime numbers, to facilitate analysis.

At the heart of the recent breakthrough lies the question of whether the unknotting number of a combined knot is always greater than or equal to the sum of the unknotting numbers of its constituent parts. Surprisingly, Brittenham and Susan Hermiller have demonstrated cases where this assumption does not hold true, unveiling a new realm of possibilities in knot theory.

An example of a knot that is easier to undo than its constituent parts

Mark Brittenham, Susan Hermiller

Through a combination of mathematical expertise, intuition, and computational power, Brittenham and Hermiller have opened up new avenues for research in knot theory. Their work challenges existing notions of unknotting numbers and reveals a deeper complexity within the realm of knots.

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Andras Juhasz, a researcher at the University of Oxford, reflects on the challenges faced in unraveling this intricate problem: “It is possible that for finding counterexamples that are like a needle in a haystack, AI is maybe not the best tool. This was a hard-to-find counterexample, I believe, because we searched pretty hard.”

While the practical applications of this newfound understanding in knot theory remain to be fully realized, the implications for fields such as cryptography and molecular biology are profound. Nicholas Jackson, a mathematician at the University of Warwick, emphasizes the significance of this discovery: “A thing that we didn’t understand quite so well a couple of months ago is now understood slightly better.”

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