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Title: Sum to infinity of 1/(1+n^2) Post by NickH on Aug 25th, 2004, 7:27am Find [sum] from n = 1 to [infty] of 1/(1 + n^2). |
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Title: Re: Sum to infinity of 1/(1+n^2) Post by Aryabhatta on Aug 25th, 2004, 9:30am My first guess is : [hide] pi/2, by considering the integral of 1/(1+x2) in 0 to [infty] [/hide] |
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Title: Re: Sum to infinity of 1/(1+n^2) Post by TenaliRaman on Aug 25th, 2004, 9:32am ::[hide] (pi*coth(pi)-1)/2 [/hide]:: |
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Title: Re: Sum to infinity of 1/(1+n^2) Post by NickH on Aug 26th, 2004, 1:39pm That's rather cryptic, TenaliRaman! What was your method? |
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Title: Re: Sum to infinity of 1/(1+n^2) Post by TenaliRaman on Aug 27th, 2004, 7:36am ::[hide] f(z) = (pi*cot(pi*z))/(z^2+1) Contour Integral of f(z) [/hide]:: |
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Title: Re: Sum to infinity of 1/(1+n^2) Post by Smitty Worbenmenjenson on Jan 23rd, 2005, 3:19pm Set the Limit of the Sum to Infinity and you will find that 1/infinity gets really small (and insignificant); in fact it is close to 0. |
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Title: Re: Sum to infinity of 1/(1+n^2) Post by Icarus on Jan 23rd, 2005, 8:36pm If 1/[infty] is to be given a value at all, then 1/[infty] is equal to 0, not just close to it. But infinite sums like this do not involve an actual infinity. Rather, the sum is defined to be the unique value S to which you can get as close to as you want (shy of actually hitting it) by sufficiently many terms. To provide an example, look at the much simpler sum [sum]n=0[supinfty] 1/2n = 1 + 1/2 + 1/4 + 1/8 +... It is easy to see algebraically that [sum]n=0N 1/2n = 2 -1/2N. So if I would like to get within 0.01 of 2, I note that 1/27 [approx] 0.0078 < .01, So if I sum terms n=0 through n=7, I can get this close to 2. If I want to get within 0.001 of 2, I have to sum terms n=0 through n=10, etc. No matter how small a margin is set, I can always get within that distance of 2 by adding up enough terms. And adding more terms after will not take me farther away, either. Note also that 2 is the only number with this property. The sums are all < 2, so for any x > 2, I can't get any closer than x - 2 to x. As for x < 2, a few I can hit dead on, but only by stopping there. If I add in any more terms, the sum moves away, and never returns. For these reasons, if we actually could add up an infinite number of terms, the result could only be 2. So we define the infinite sum to be 2. The value of any other infinite sum, such as the one in this problem, is defined in a similar manner. You find the unique number that is approached as closely as you can want, without the sum moving away again when more terms are added. If such a number exists, the sum is said to "converge" to that value. If no such number exists (as with, for example, [sum]n=0[supinfty] 1), the sum is said to "diverge", and no value is defined for it. |
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