Tracking the World's Great Unsolved Math Mysteries
coondoggie writes "Some math problems are as old as the wind, experts say, and many remain truly unsolved. But a new open source-based site from the American Institute of Mathematics looks to help track work done and solve long-standing and difficult math problems. The Institute, along with the National Science Foundation, has opened the AIM Problem Lists site to offer an organized and annotated collection of unsolved problems, and previously unsolved problems, in a specialized area of mathematics research. The problem list provides a snapshot of the current state of research in a particular research area, letting experts track new developments, and newcomers gain a perspective on the subject."
How can math problems exist before people start using mathematics? Last I checked, math was nothing more than a representation of the hypothetical that as closely models our universe as possible.
Why is it that after taking some, the day after I always get a splitting headache?
Oh wait, math mysteries.
http://en.wikipedia.org/wiki/Collatz_conjecture Speaking of unsolved math mysteries, the 3n+1 problem is a fabulous way to spend days and days of your life. It's particularly fun if you think about it in binary. Whatever the answer is, it's either simple and elegant or complex beyond imagination.
-- IANAL, this isn't legal advice, and definitely isn't legal advice for you. Also, Squee!
I have this wonderful proof for this conjecture, but unfortunately the 80 char limit for sig in slashdot is too small for it.
sed -e 's/Chuck Norris/Rajnikant/g' joke > fact
Julius Shaneson and Sylvain Cappell claimed to have solve a famous problem about counting the lattice points in a circle. It's been out for years, even earlier than this arxiv paper:
http://arxiv.org/abs/math/0702613
Thing is, even though it is a famous problem, no one cares enough to check. So this notion of "famous" is shaky.
So they finally discovered the Merits Of The Bug Tracker.
But i hope they don't switch to math 2.0 anytime soon, that'll just introduce a bunch of regressions and won't do anyone any good. They've already spent some thousands of years just to get their project management straight, it's about time they delivered.
They can probably add the remaining unsolved millennium prize problems to the list.
For very large values of 1
their servers will explode when they take a stab at Navier-Stokes. I asked Wolfram-Alpha, but it simply returned the exact solution of a degenerate case, the solution being 'Fuck you.'
'We are trying to prove ourselves wrong as quickly as possible, because only in that way can we find progress.' RPF
See http://rjlipton.wordpress.com/2009/11/12/more-on-mathematical-diseases/ for unsolved problems which are all really simple and also really addicting to think about. For many of these, the best way to stop thinking about one of them is to start thinking about another.
I'm actually a bit puzzled as to why this is a Slashdot article. If I wanted to point to something new in the way people are doing math I'd point to Math Overflow http://mathoverflow.net/ where many professional mathematicians, grad students and others are active. It is essentially a centralized system for people to post math questions and get math answers from people who know. It is very cool. It also is highly addictive to read.
As of about a year ago, a new kind of collaborative math project known as "polymath" is emerging. These research projects are completely open for any interested scholar to drop in and make contributions to the problem at hand. The technical infrastructure is based on well-known tools such as wikis and forum discussions
The very first such project successfully explored a new approach to the density Hales-Jewett thorem--a significant problem in combinatorics--in about six weeks of effort, with a fully preserved record of about a thousand contributions from dozens of participants.
See Polymath Wiki for the details. This new contribution from the AIM will provide a focus point for such efforts and encourage similar massively collaborative projects.
And of course, the emerging field of computer-verified mathematics is also dependent on massive collaboration, in order to translate existing results into a fully-formalized form that computes will understand and verify as correct. A wiki-based project could be a great help there as well.
why not hide them in video games so we can get more people to look at them.
Only (very) loosely related but deserving mention is the Encyclopedia of Integer Sequences.
This encyclopedia has proven very useful for me in that I have avoided 'solving' many problems with it.
"His name was James Damore."
maybe (AIM) should ask Smarterchild for the answers.
Mathematically modelling the brain would seem to be a very trivial problem. The problem is that there's a lot of brain to model. I've posted (admittedly non-rigorous) mathematical models of the brain on Slashdot before, but narry a grant check from it. Bah.
Computational fluid dynamics for foams, liquid crystals, et al, isn't any harder than for anything else. The equations are chaotic by nature, but chaotic systems can be well-behaved on aggregate under certain conditions. CFD as generally done relies on some specifically hand-picked special case or cases being universally true. They never are, which is why most CFD differs from how systems actually behave in practice.
If you were to treat CFD as a problem in chaos theory, rather than as isolated collections of imperfect examples of special cases, there would be no problem. It is always when engineers try to take shortcuts and oversimplify the maths to make it easy on themselves that they run into problems. They should be locked up for their own safety. If you want to really annoy them, lock them up with some airgel foam.
The problem with chaotic systems is that the system is sensitive to initial conditions, which means the only way to get "correct" results is to use infinite precision and zero step sizes. This isn't useful, but is a good way to annoy experts in CFD.
This leaves two options - use very very big, very very fast computers (the option used by F1 teams), or find an equivalent problem you CAN solve (the idea behind transforms).
Ok, does chaos look like a good place to use transforms? If you could identify and classify the Strange Attractors in the system, can you do anything useful? Probably not, at least not in the "solving the problem" sense. Chaos is fully deterministic, but it is utterly unpredictable. The only solution is the whole solution.
What knowing the Strange Attractors might tell you is how to vary the precision and step-size to get the best results for a given level of compute power. But it's going to be all raw horsepower from thereon out.
The best way to invest money on such work is to design a co-processor that performs a handful of fairly high-level maths functions directly (optimized purely for speed, not physical or logical space) so that you can do Navier-Stokes almost at the level of raw hardware rather than through clunky software. Then cluster the living daylights out of the co-processor.
It's necessary to optimize commodity hardware for space, because chip real-estate is expensive. However, if you're building what is basically a SOP (single-operation processor) for a dedicated market that can afford things like Earth Simulator, the only time you care about space is when it impacts speed.
Ideally, if the speed of light wasn't an issue, you'd want each bit in the output to be produced by wholly independent logic, duplicating the input bits as necessary to accomplish this. In practice, you'd probably want to start with that conceptually but in reality have something that was somewhere between that and a highly compressed form. Too parallel and the delays in communication exceed the benefits from the parallelization.
But this is all obvious. Anyone here who has done multi-threading or any other form of parallelization knows about synchronization issues and communication overheads. It's even one of the biggest chunks of any course on the subject of parallel design. There's nothing new there, certainly nothing "unsolved".
But, yeah, a well-designed Navier-Stokes co-processor would likely give you greater accuracy and greater performance than the modern pure software solutions. Especially those using ugly protocols to do the communications.
If Intel can conceptulalize 80 Pentium 4 cores on a wafer, it would seem reasonable enough to imagine modern fabrication methods being able to put at least a couple of hundred dedicated Navier-Stokes processors into the same space. Since the input for an iteration would be based on output from that and other processors, there's no
It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
So when a promising idea comes along, the "expert" can follow up and hopefully get credit for the solution. I see this is the workplace and on the net in various places. Technical discussion forums are lurked by "experts" in industry who look for ideas without contributing anything to the discussion. Some people don't mind, others don't realize, and others are bothered by it.
I am pretty sure that some of the problems at least will be Hilbert Problems that do not currently have a solution. http://en.wikipedia.org/wiki/Hilbert_problems
Did Glenn Beck rape and kill a girl in 1990? gb1990.com
This is a great idea. It whould promote more interest in the specific problems and unsolved math problems in general. Besides, more collaboration should result in better research.
Loban Amaan Rahman ==> Anagram of ==> Aha! An Abnormal Man!
There exist no empty sets in the Universe! We can construct all of Mathematics beginning only with the Empty set. So, all of mathematics can be constructed from something that does not exist in the real world. Hmm? Makes you think.
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Those things which we use mathematics to describe (relationships of every variety) are discovered (by observation and experience)
The language with which we describe them (symbols, axioms, and rules of transformation) is invented (and refined over time, as a quick review of the history of mathematics will promptly reveal)
Additional products of this language (logical consequences of the axioms we have invented) are subsequently discovered.
We equivocate the term "Mathematics" to mean all three of these things (that described, the language of description, and logical consequences of the axioms of that language). When the word means all three of these things at once, it seems that we have both discovered and invented it, and lively (though misguided) debate ensues.
When we establish clarity about our topic of discussion (through disambiguation of our terms), then whether it was invented or discovered becomes clear, as I have just demonstrated.
42
can we get the good will hunting guy to work on them or rainman. may even Kazan?
Why is the alternative to halving, 3n+1? Why 3? I'm curious. If it were just n+1 it seems like it would converge to 1 pretty quickly (since most non-even numbers become even if you add 1).
10 gives you:
10 5 6 3 4 2 1
100 gives you:
100 50 25 26 13 14 7 8 4 2 1
What if it were 4n+1? Then 10 gives you:
10 5 21 85 341 1365 5461 21845 uh oh
What if it were 5n+1? Then 10 gives you:
10 5 26 13 76 38 19 96 48 24 12 6 3 16 8 4 2 1
Build a man a fire, he's warm for one night. Set him on fire, and he's warm for the rest of his life.
Maybe they can explain why most math "teachers" think 1 = .999...
Retards.
That is not entirely correct.
First strange attractor is usually embedded into lower-dimension manifold. Reducing dimensionality can make problem a lot more tractable, especially if original system was infinitely-dimensional (like Navier-Stocks). Estimation of dimensionality of that manifold or any other information about it can help a lot in numerical simulation.
Second strange attractors have non-trivial statistical properties and specific geometry. Exact solutions is not always the target of calculation, statistical properties or averages of solutions, or its geometrical properties could be target of calculations too.
That is probably more potential that practice for now. While I've read paper (long ago) about statistical (ergodic theory) and algebraic-geometrical approach to Lorentz attractor I don't know if there are any works on dimensionality or statistical properties on attractors of other "real world" systems.
1^0 = 1
1^1 = 1
hence 1^0 = 1^1
taking log to the base 1 from both sides,
0 = 1
by extending to 1^2, 1^3 etc...
0 = 1 = 2 = 3 .....
P = NP?
I so want it to be true. Quantum computing is our best hope right now of shedding light on this problem.
And it's not on their list...
I void warranties.
Ok, I would agree with all that. (I can't mod you informative for obvious and non-chaotic reasons.)
It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
galois theory can be used to show that some constructions do not exist. for example, it is impossible to trisect an angle in general by using a straight edge and compass in a finite number of operations (although 180degrees can be trisected by constructing three 60deg divisions). it can also be used to show that there are fifth order polynomials that have root that cannot be expressed using a finite number of the operations addition, subtraction, division, multiplication and taking powers/radicals. these roots are real (or complex numbers) that cannot be constructed using the conventional mathematical operators a finite number of times.
similarly you cannot construct a 7 sided polygon. its quite interesting to think about the nature of these truths. that you can show that something is impossible, is not constructive. when you have a constructive proof it is easy to see when the answer is correct. but to verify these proofs is more subtle and requires considerable thought and time. you could expect to look at galois theory towards the end of a degree in mathematics, but how many people can dedicate the time and effort required. how can they trust that these assertions are correct. how we enable trust in such non obvious truths.
is why there never is enough money in my account... --- Shawn Way...
I always respected my engineering friends in college who were busy solving complicated problems. I was a humanities major, so I was far more interested in solving this math problem with the hot chicks in my social sciences classes: let's add ourselves together, subtract our clothes, divide our legs and multiply.
P = NP
P/P = NP/P
1 = N
Is 1563649 a prime number?
High school students begin posting math homework problems there.
Have gnu, will travel.