Wikipedia:Reference desk/Archives/Mathematics/2011 April 11
Mathematics desk | ||
---|---|---|
< April 10 | << Mar | April | May >> | April 12 > |
Welcome to the Wikipedia Mathematics Reference Desk Archives |
---|
The page you are currently viewing is an archive page. While you can leave answers for any questions shown below, please ask new questions on one of the current reference desk pages. |
April 11
[edit]Why are the imaginary parts of some nontrivial Riemann zeta zeroes so close to integers?
[edit]If you look at the list of the first few nontrivial Riemann zeta zeroes of the form 1/2 + i x for x > 0 (see below), you see quite a few that are close to integers. E.g. values for x that are approximately within 1/100 of an integer should occur on average once in every 50 entries, however in the first 10 entries we already see 2 of them. In the later entries we don't see many of these values so close to integers, so the total number of the values in the table containing 151 entries within 1/100 of an integer isn't that large (there are 3 of them, the probability of getting more than 2 is approximately 0.08). However, the entries close to integers are still so close that you wouldn't have expected to see them at all in the table. So, x = 48.005150881 or an x closer to an integer should occur with probability of approximately 1/100 (probability for this to occur once or more within the first ten entries is about 1/10 ), x = 146.000982487 or a x closer to an integer should occur with probability 1/500 (probability for this to occur once or more in the table is approximately 1/10). So, it looks as if most entries are random, but you have some that are anomalously close to integers.
Table:
14.134725142 21.022039639 25.010857580 30.424876126 32.935061588 37.586178159 40.918719012 43.327073281 48.005150881 49.773832478 52.970321478 56.446247697 59.347044003 60.831778525 65.112544048 67.079810529 69.546401711 72.067157674 75.704690699 77.144840069 79.337375020 82.910380854 84.735492981 87.425274613 88.809111208 92.491899271 94.651344041 95.870634228 98.831194218 101.317851006 103.725538040 105.446623052 107.168611184 111.029535543 111.874659177 114.320220915 116.226680321 118.790782866 121.370125002 122.946829294 124.256818554 127.516683880 129.578704200 131.087688531 133.497737203 134.756509753 138.116042055 139.736208952 141.123707404 143.111845808 146.000982487
Count Iblis (talk) 01:09, 11 April 2011 (UTC)
- It does seem slightly more than would be expected:
VALUES VALUES VALUES WITHIN WITHIN WITHIN 0.10 0.03 0.01 --------- -------- ------ PERCENT FOUND 13/51=25% 6/51=12% 2/51=4% PERCENT EXPECTED 20% 6% 2%
- However, presumably you stopped where you did to maximize this effect. If we stopped one sooner, the results would be:
VALUES VALUES VALUES WITHIN WITHIN WITHIN 0.10 0.03 0.01 --------- -------- ------ PERCENT FOUND 12/50=24% 5/50=10% 1/50=2% PERCENT EXPECTED 20% 6% 2%
- This is close enough to just be a coincidence. StuRat (talk) 04:19, 11 April 2011 (UTC)
- Probably you want to do statistical hypothesis testing that the fractional parts of the x-values have (not) a continuous uniform distribution. Bo Jacoby (talk) 12:14, 11 April 2011 (UTC).
- Per the post below, if we assume that the string was preferentially selected in this way:
VALUES VALUES VALUES WITHIN WITHIN WITHIN 0.10 0.03 0.01 --------- -------- ------ PERCENT FOUND 13/51=25% 6/51=12% 2/51=4% PERCENT EXPECTED IN RANDOM STRING 20% 6% 2% PERCENT EXPECTED IN PREFERENTIALLY SELECTED STRING 23.2% 9.76% 5.92% —Preceding unsigned comment added by 92.20.205.185 (talk) 10:09, 12 April 2011 (UTC)
- When 6 out of 51 values are observed to be within 0.03 away from an integer, then the probability for this to happen is beta distributed with mean value and standard deviation , and so the deviation of the theoretical value 0.06 from the mean value is standard deviations, which is not significantly different from zero. So the null-hypothesis, that the fractional parts of the imaginary parts of the zeroes of the zeta-function have uniform distribution, is not rejected by the observations. Bo Jacoby (talk) 18:36, 12 April 2011 (UTC).
It's not significant when looking at the whole list, but I'm still suspicious about the first few entries. A more spectacular list of numbers, where it is clear that the real numbers are close to integers is given by the function f(n) = exp[pi sqrt(n)] for integer n. Some are very close to integers, but I think that this is only true for a finite number of values for n. So, if you make the list arbitrarly large, you can make the statistical significance arbitrarily low. You can imagine similar cases where the effect is less spectacular, where a deep mathematcal reason does exist, but where the effect never rises above statistical significance. Count Iblis (talk) 22:09, 16 April 2011 (UTC)
- I think it's just a case of you having looked through so many lists of numbers that eventually you were bound to find some pattern. A discussion of a similar effect (a correlation of the location of Uranus with quakes on Earth), is now on the Science Desk: Wikipedia:Reference_desk/Science#Help.21_I_have_some_questions_about_Venus.2C_Uranus_and_the_moon. StuRat (talk) 06:06, 17 April 2011 (UTC)
- Yes that could be. However, one does have to consider if it is a priori likely if there could be an effect. Then math is different in this repect, as the exp[pi sqrt(n)] example clearly shows (here you do have real numbers that are very close to integers, but the reason involves quite advanced math). Count Iblis (talk) 15:09, 17 April 2011 (UTC)
Number sequence
[edit]In relation to the above sequence; If a have a random number generating function which produces a number from a set of 'interesting numbers' with probability p, and an 'uninteresting number' with probability 1-p, and analyse the produced sequence by deliberately selecting from the total sequence a continuous string that starts and finishes with one of the interesting numbers, what is the expected increase in the expectation of 'interesting numbers' in my string compared to a randomly selected string? —Preceding unsigned comment added by 92.20.205.185 (talk) 12:08, 11 April 2011 (UTC)
- (I have no idea what your first six words mean, so am ignoring them.) Just thinking aloud, nothing rigorous here. You know the first and last terms are interesting; otherwise, the string is randomly selected. Assuming the string has length , the expected number of interesting numbers will be , whereas the the expected number in a randomly chosen string will be . Thus, you can expect more interesting numbers in your string, regardless of length.—msh210℠ 17:59, 11 April 2011 (UTC)
- So for a random string it will have a fraction of interesting numbers, and for a preferentially selected string . I.e.the preferential selection causes an expected increase of . Thanks.
Game theory
[edit]Hello. I've recently got interested in game theory. One thing that confuses me is Nash equilibrium - the concept sounds rather similar to saddle point. What's the difference between the two, or am I way off in thinking that these two have something in common? Thank you! 212.68.15.66 (talk) 12:46, 11 April 2011 (UTC)
- Well they are both examples of Equilibrium points. Indeed you might find a saddle point as the Nash equilibrium for a two player zero-sum game, where you can use the vertical axis for the payoff function for one player and minus the payoff for the second. If the game is not zero-sum you would need more dimensions.--Salix (talk): 13:46, 11 April 2011 (UTC)