Mathematicians Discover New Way for Spheres to 'Kiss'
Mathematicians have advanced the "kissing problem," improving the lower bound of kissing numbers in dimensions 17 through 21 using unconventional methods, highlighting the value of exploring non-symmetric structures.
Read original articleMathematicians have made significant progress on the "kissing problem," which explores how many spheres can touch a central sphere without overlapping. This problem, dating back to a conversation between Isaac Newton and David Gregory in 1694, has been a longstanding challenge in mathematics. While the maximum kissing number in three dimensions is known to be 12, the problem remains open in higher dimensions. Recent work by MIT undergraduate Anqi Li and her professor Henry Cohn has introduced a novel approach that deviates from traditional symmetric arrangements. By exploring "odd" configurations of the Barnes-Wall lattice, they discovered new gaps that allowed for the addition of spheres in dimensions 17 through 21. Their findings have improved the lower bound of the kissing number in these dimensions, marking the first advancement in decades. This research highlights the potential of introducing disorder into mathematical structures, suggesting that unconventional methods may yield new insights into complex problems.
- The kissing problem investigates how many spheres can touch a central sphere without overlapping.
- Recent advancements were made by Anqi Li and Henry Cohn at MIT, improving estimates in dimensions 17 through 21.
- Their approach involved using "odd" configurations of the Barnes-Wall lattice, deviating from traditional symmetric methods.
- The new findings increased the lower bound of the kissing number in these dimensions, showcasing the value of unconventional strategies in mathematics.
- The research emphasizes the importance of exploring non-symmetric structures in solving complex mathematical problems.
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Surely it's not too difficult to repeatedly place spheres around a central sphere in 17 dimensions, maximizing how many kiss for each new sphere added, until you get a number for how many fit? And add some randomness to the choices to get a range of answers Monte Carlo-style, to then get some idea of the lower bound? [Edit: I meant upper bound, whoops.]
Obviously ideally you want to discover a mathematically regular approach if you can. But surely computation must also play a role here in narrowing down reasonable bounds for the problem?
And computation will of course be essential if the answer turns out to be chaotic for certain numbers of dimensions, if the optimal solution is just a jumble without any kind of symmetry at all.
> Had she been one of his graduate students, he would have tried harder to convince her to work on something else. “If they work on something hopeless, it’ll be bad for their career,” he said.
Is there an intuitive reason for why 6 fits so perfectly? Like, it could be a small gap somewhere, like in 3d when it's 12, but it isn't. Something to do with tessellation and hexagons, perhaps?
> They look for ways to arrange spheres as symmetrically as possible. But there’s still a possibility that the best arrangements might look a lot weirder.
Like square packing for 11 looks just crazy (not same problem, but similar): https://en.wikipedia.org/wiki/Square_packing
She taught Lineare Algebra II when I took it! It was one of the toughest lectures I took during university. I remember looking to the person next to me and one of us asked "do you understand anything?" and the other said "no! I haven't understood anything for like 20 minutes" and we burst out laughing and couldn't get it together until we were asked to quiet down. Wadim if you hang out here, send me a mail or something!
The very first day, he started out by talking about kissing spheres and concluded the lecture with "and that's why kissing spheres are easy in 7 dimensions" (or something like that).
Every lecture of his was like being placed in front of a window looking upon a wonderful new world, incomprehensible at first, but slowly becoming more and more clear as he explained. Sometimes I wish I could play in the garden of math.
I went to math prep school for 2 years, attended 12 hours of math class in agebra and analysis per week, which I think proves I've done more math than most people in the general population, and this makes no sense to me. It either lacks introduction required to understand the analogy, or I've become really dumb. I want to understand this based on what the article says, but I can't. I can't represent error-filled messages as high-dimensional points. It's easier for me to imagine what the intersection between 4D spheres would look like in geometry.
I found this for anyone interested in understanding 4D spheres without knowing too much math: https://baileysnyder.com/interactive-4d/4d-spheres/
and yet Cohn is first on the author list :(
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The happy ending problem states five points in general position form a convex quadrilateral. The Erdős–Szekeres conjecture links point numbers to convex subsets, with ongoing research on convex shapes and empty polygons.
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