Useless math that became useful

I'm writing an article on Lychrel numbers and some people pointed out that this is completely useless.

My idea is to amend my article with some theories that seemed useless when they are created but found use after some time.

I came with some ideas like the Turing machine but I think I'm not grasping the right examples.

Can someone point me some theories that seemed like the Lychrel numbers and then become 'useful'?

• Utility is defined vis-a-vis context. The complex numbers were invented to solve $x^2+1=0$, which is useless in any application restricted to the reals (but turn out to be useful in many other ways unforeseen at the time of their construction). Dec 17, 2012 at 18:24
• Binary numbers have a long history, but were not very "useful" until scientists began applying them to electronic circuits and computers. en.wikipedia.org/wiki/Binary_numeral_system Dec 17, 2012 at 18:28
• Ramsey theory isn't particularly useful in real world applications (although it can be useful in proofs for other branches of mathematics). However, I often joke that often in data analysis problems, one practices "applied Ramsey theory" -- finding the one data set out of many that perfectly matches one's algorithm. Dec 17, 2012 at 18:42
• I once read or heard that Sophus Lie claimed that his "Lie groups" were totally useless. It's one of the cornerstones of modern particle physics now. Dec 17, 2012 at 18:45
• @EdGorcenski I believe that historically, the complex numbers were invented to solve cubic equations, not quadratic ones.
– MJD
Dec 17, 2012 at 21:43

Quote from G. H. Hardy1

The Theory of Numbers has always been regarded as one of the most obviously useless branches of Pure Mathematics.

Just 30 years after his death, the RSA algorithm was introduced which is deeply rooted in number theory and is now important part of sending encrypted information electronically, e.g., over the Internet.

The Quaternions were considered useless for a long time.

Anyhow, the set of all unit quaternions is a double cover of $SO_3(\mathbb R)$. This allows us to represent any rotation matrix by a quaternion, which is used now in computer games (instead of using 9 parameters to parametrize a rotation matrix, we can use only 3 for the quaternions).

• @JackM The way I learned the story, but who knows what is true, is the Hamilton wanted to revolutionize the physics by finding a multiplication rule which makes the vector space $\mathbb R^3$ into a division ring. He finally figured out how it works in $4$ dimensions, it was only later that it was proven that $n=4$ is the only dimension this can be done. Oct 5, 2015 at 18:40
The solutions of the closest-packing problem, of how to most densely pack non-overlapping congruent $n$-spheres in $\mathbb R^n,$ have, for some $n>3,$ been found to have applications to error-detecting and error-correcting codes in digital transmissions.
In the book Knots by Kaufman there is an example of an application of knot theory (the study of homeomorphic embeddings of $S^1$ into $\mathbb R^3$) to statistical mechanics.