| |
| |
| |
|
Page: 1 2 3 4 5 6 7 8 9 10 11
Comments:
<0> Right then. <1> % Sum[Log[1/n^2]], {n, 0, Infinity} <2> matteo: $Failed <1> damn <1> shouldn't it converge? <1> ah, maybe starting from 1 :P <1> % Sum[Log[1/n^2]], {n, 1, Infinity} <2> matteo: $Failed <3> % Sum[Log[1/n^2]], {n, 0, Infinity}] <2> Cale: $Failed <3> % Sum[Log[1/n^2], {n, 1, Infinity}] <2> Cale: Sum[Log[n^(-2)], {n, 1, Infinity}] <3> diverges <1> why $failed? <3> $Failed usually means that you had a syntax error <3> you didn't close the sum bracket, or closed it in the wrong place rather
<1> % Sum[Log[1/n^2]], {n, 1, Infinity} <2> matteo: $Failed <3> that's a syntax error <1> where? <3> your ] is in the wrong place <3> it should be at the end of the expression <3> % Sum[Log[1/n^2], {n, 1, Infinity}] <1> % Sum[Log[1/n^2], {n, 1, Infinity}] <2> Cale: Sum[Log[n^(-2)], {n, 1, Infinity}] <2> matteo: Sum[Log[n^(-2)], {n, 1, Infinity}] <3> it refuses to evaluate that because it diverges <1> but 1/n converges <3> what? <3> sum over n >= 1 of 1/n doesn't converge <4> % Limit[ 1/(x^2) - CoTan(x)^2, x->0 ] <2> FBKK: Infinity <3> % Limit[ 1/(x^2) - Cot[x]^2, x->0 ] <2> Cale: 2/3 <4> cale , thanks <3> np <5> % Limit[Log[1/n^2], n->Infinity] <2> Olathe: -Infinity <1> % Sum[1/n^2, {1,Infinity}] <2> matteo: Sum[1/n^2, {1, Infinity}] <1> % Sum[1/n^2, {n, 1,Infinity}] <2> matteo: Pi^2/6 <1> ok, and this converges <1> now add Log[] and it diverges <5> % Limit[1/n^2, n->Infinity] <2> Olathe: 0 <1> mm <3> For a series to converge, it's a necessary condition for the limit of the terms to be 0. <3> It's not sufficient, though. <1> because Inf is so big that even adding some small value gives Inf? <3> well, roughly, yeah <1> ok <3> it's because of the Archimedean property of the integers <3> For any real number x, there is an integer n such that n > x. <1> numbers are infinite? <1> i was thinking that 4294967295 is the biggest <3> so, suppose you have sum over n >= 0 of a, where a is some constant <3> that's defined as the limit as k -> infinity of the sum over n = 0 to k of a <3> which is the limit as k -> infinity of (k+1) a <3> which supposing that a > 0, diverges, since for any value M, there will be some k for which k * a > M <6> % Sum[Log[1+1/n^2], {n, 1, Infinity}] <2> int-e: -LogGamma[1 - I] - LogGamma[1 + I] <3> % Sum[Log[1+1/n^2], {n, 1, Infinity}] //N <2> Cale: 1.3018463986037148 + 0.*I <7> 0.*I? <1> Cale: but, 1/x^2 is always bigger than Log[1/x^2] <3> _llll_: The imaginary component is numerically zero. <6> Log[1/x^2] is negative for x>1 <3> % Table[Log[1/x^2],{x,1,20}] <2> Cale: {0, -Log[4], -Log[9], -Log[16], -Log[25], -Log[36], -Log[49], -Log[64], -Log[81], -Log[100], -Log[121], -Log[144], -Log[169], -Log[196], -Log[225], -Log[256], -Log[289], -Log[324], -Log[361], - <2> Log[400]} <1> but my series starts from 1 <6> :P <3> % Table[Log[1/x^2],{x,1,20}] //N <2> Cale: {0., -1.3862943611198906, -2.1972245773362196, -2.772588722239781, -3.2188758248682006, -3.58351893845611, -3.8918202981106265, -4.1588830833596715, -4.394449154672439, -4.605170185988092, -4. <2> 795790545596741, -4.969813299576001, -5.1298987149230735, -5.278114659230517, -5.41610040220442, -5.545177444479562, -5.666426688112432, -5.780743515792329, -5.8888779583328805, -5.991464547107982} <3> seems unlikely that the sum of those will converge :)
<1> to -Inf <1> understood now <1> % Sum[1/Log[n^2], {n, 1, Inf}] <2> matteo: Sum[Log[n^2]^(-1), {n, 1, Inf}] <1> % Sum[1/Log[n^2], {n, 1, Infinity}] <2> matteo: Sum[Log[n^2]^(-1), {n, 1, Infinity}] <3> the first term of that isn't defined anyway <3> but it's not going to converge even without that <3> % Sum[1/n^a, {n,1,Infinity}] <2> Cale: Zeta[a] <1> since Log[1] is 0 and 1/0 isn't defined? <3> % Zeta[-1] <2> Cale: -1/12 <3> hehe, 1 + 2 + 3 + ... = -1/12 <3> matteo: yeah <1> % Sum[1/Log[n^2], {n, 2, Infinity}] <2> matteo: Sum[Log[n^2]^(-1), {n, 2, Infinity}] <1> again.. <3> still doesn't converge <1> % Table[1/Log[n^2], {n, 2, 10}] //N <2> matteo: {0.7213475204444817, 0.45511961331341866, 0.36067376022224085, 0.31066746727980593, 0.2790553132756236, 0.25694917118487537, 0.24044917348149392, 0.22755980665670933, 0.21714724095162588} <3> 1/Log[n^2] > 1/n for large enough n <6> % Sum[1/(n*Log[n^2]), {n, 2, Infinity}] <6> even that doesn't converge <2> int-e: Sum[1/(n*Log[n^2]), {n, 2, Infinity}] <1> mm, Log[x^2] decreases too slowly <3> yeah <1> got it <6> Log[n^2] = 2*Log[n] btw. <1> i know <6> so the exponent buys you nothing for convergence <3> {1/n} is kind of right on the boundary of converging and diverging, in the sense that 1/n^a converges for every a > 1 <3> (the sum, of course) <1> a >= 1 <3> no <3> strictly greater than <1> 1/n diverges too <3> it diverges for a = 1 <6> yes, that's what Cale said <3> and converges for larger a <1> the x does matter? <5> The x ? <1> eg (1/(2*x^2)) converges too? <8> what is the prefered way (fast and stable) to invert a 4x4 matrix ? I currently use SVD decomposition - is Cramer's rule faster ? <5> Well, is the power on x greater than 1 ? <1> y <5> y ? <1> Yes <3> MatthiasM: I'd be very surprised if you could evaluate 8 4x4 determinants in less time :) <3> er, 5 rather <3> er, and that's per solution <8> Cale: that means that SVD is faster then Cramer's ? <3> I'd probably use Gauss-Jordan <1> Det[] is O(n^3)? <3> matteo: basically, it's really n^2.3 or n^2.7 or something like that if you use crazy algorithms, but the ordinary algorithms are n^3 <8> and n is 4 in case of 4x4 ? <1> O(n^2.85) <3> yeah <6> http://www.intel.com/design/pentiumiii/sml/24504301.pdf ... intel said there that Cramer's rule is good, but they compared it to Gaussian elimination <9> the record so far is n^2.37 <1> i p***es the algorithms and data structures test <1> yes, 2^37 <3> 2.37 <1> mm, maybe that is for multiplications <3> n^(2^37) would not be impressive :) <6> I'll take n<=1. <8> int-e: I'm aware of this document - but it uses ***embler which is not an option for me (java) <1> Ln[7] (base 2) <6> it has C code <10> a nice trivia fact that way is that the permanent of a matrix is really hard to calculate <3> int-e: That must be some usage of the term "Cramer's rule" of which I was previously unaware <11> Hello. <6> http://geosoft.no/software/matrix4x4/Matrix4x4.java.html has the same code in java <1> % help::Log
Return to
#math or Go to some related
logs:
javascript getReal event.srcElement check ram in linux python unescape urllib.urlencode beagle_build_index stop beagle linux #math #php lilo backup #bash Ralith
|
|