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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/www.quantamagazine.org\/mathematical-tricks-for-taming-the-middle-distance-20230707\/#comments<\/a><\/br> Gasarch, Glenn and Kruskal also tried several other strategies. One promising idea leaned on randomness. A simple way to come up with a progression-free set is to put 1 in your set, then always add the next number that doesn\u2019t create an arithmetic progression. Follow this procedure until you hit the number 10, and you\u2019ll get the set {1, 2, 4, 5, 10}. But it turns out this isn\u2019t the best strategy in general. \u201cWhat if we don\u2019t start at 1?\u201d Gasarch said. \u201cIf you start at a random place, you actually do better.\u201d Researchers have no idea why randomness is so useful, he added.<\/p>\n Calculating the finite versions of the two other new Ramsey theory results is even more vexing than determining the size of progression-free sets. Those results concern mathematical networks (called graphs) made up of nodes connected by lines called edges. The Ramsey number r<\/em>(s<\/em>, t<\/em>) is the smallest number of nodes a graph must have before it becomes impossible to avoid including either a group of s<\/em> connected nodes or t<\/em> disconnected ones. The Ramsey number is such a headache to compute that even r<\/em>(5, 5) is unknown \u2014 it\u2019s somewhere between 43 and 48.<\/p>\n In 1981, Brendan McKay<\/a>, now a computer scientist at Australian National University, wrote a software program called nauty, which was intended to make calculating Ramsey numbers simpler. Nauty ensures that researchers don\u2019t waste time checking two graphs that are just flipped or rotated versions of one another. \u201cIf somebody\u2019s in the area and is not using nauty, the game is over. You must use it,\u201d said Stanis\u0142aw Radziszowski<\/a>, a mathematician at the Rochester Institute of Technology. Still, the amount of computation involved is almost incomprehensible. In 2013, Radziszowski and Jan Goedgebeur<\/a> proved that r<\/em>(3, 10) is at most 42<\/a>. \u201cIt took, I think, almost 50 CPU years,\u201d said Goedgebeur, a computer scientist at KU Leuven University in Belgium.<\/p>\n If you can\u2019t compute an exact Ramsey number, you can try narrowing down its value with examples. If you found a 45-node graph without five nodes that were all connected and without five nodes that were all disconnected, that would prove that r<\/em>(5, 5) is bigger than 45. Mathematicians studying Ramsey numbers used to think that finding those examples, called Ramsey graphs, would be simple, Radziszowski said. But it wasn\u2019t so. \u201cThere was this expectation that nice, cool mathematical constructions will give the best possible constructions, and we just need more people to work on it,\u201d he said. \u201cMy feeling is more and more that it\u2019s chaotic.\u201d<\/p>\n Randomness is both an obstacle to understanding and a useful tool. Geoffrey Exoo<\/a>, a computer scientist at Indiana State University, has spent years refining random methods to generate Ramsey graphs. In a 2015 paper<\/a> announcing dozens of new, record-beating Ramsey graphs, Exoo and Milos Tatarevic generated random graphs and then gradually tweaked them by deleting or adding edges that reduced the number of unwanted clusters until they found a Ramsey graph. Exoo\u2019s techniques are as much an art as anything, though, Radziszowski said. They sometimes require him to combine multiple methods, or to use judgment about what kind of graphs to start with. \u201cMany, many people try it, and they cannot do it,\u201d Radziszowski said.<\/p>\n The techniques developed to generate Ramsey graphs could be more broadly useful someday, said Goedgebeur, who has worked on<\/a> producing other kinds of graphs, such as graphs that represent chemical compounds. \u201cIt is not unlikely that these techniques can also be transferred and adjusted to help generate other classes of graphs more efficiently (and vice versa),\u201d he wrote in an email.<\/p>\n To Radziszowski, however, the reason for studying the small Ramsey numbers is much simpler. \u201cBecause it\u2019s open, because nobody knows what the answer is,\u201d he said. \u201cThe trivial cases we do by hand; a little larger, you need a computer, and a little larger, even the computer is not good enough. And so the challenge emerges.\u201d<\/p>\n<\/div>\n <\/br><\/br><\/br><\/p>\n
\nThe Lawlessness of Large Numbers<\/br>
\n2023-07-10 21:58:06<\/br><\/p>\n