User talk:PAR/archive 1

Hello. I think your reformatting in probability-generating function put lines so close together that it looked cluttered. I've redone it somewhat. Michael Hardy 02:00, 21 Nov 2004 (UTC) Some tips inspired by your editing of Skellam distribution: Michael Hardy 04:05, 21 Nov 2004 (UTC) Hello - Thanks for the suggestions on the page. I'm obviously new to Wikipedia, and I'm trying to figure a lot of things out, such as is this the right way to respond to your message on my talk page? Also, I wanted to start a Voigt profile page, which is a convolution of a Doppler profile and a Lorentzian profile, or, viewed as probability distributions, a normal distribution and a Cauchy distribution. I guess a Voigt profile would translate to a Voigt distribution. There are no such profile pages, but there is a Lorentzian function page which contains just what a Lorentzian profile page should contain. I'm not sure of what to do here, or the etiquette of going about doing it. Any suggestions?
 * Don't use gratuitous capitalization either in article titles or in the text of an article.
 * There's no need to write (e.g.) hyphenated ; one may write hyphenated, and it has the same effect (the whole word, not just the part between the brackets, appears as a clickable link).
 * There's no need to capitalize the first letter of a link, nor to include underscores. Thus: negative binomial distribution.


 * Perhaps moving the Lorentzian function page to Lorentzian profile would be the best thing to do, but I don't know this topic. Just click on "move this page".  The edit history and discussion page get moved along with it, and the Lorentzian function page will then become a redirect page with an edit history showing that it was created by you at the time of the move. Michael Hardy 21:46, 22 Nov 2004 (UTC)

PS: Also, notice that if you type ~ in a page you edit, your user name gets signed along with the date and time of the edit, and your user name will appear as a clickable link to your user page. Michael Hardy 21:46, 22 Nov 2004 (UTC)

PPS: The above is appropriate for discussion pages, but not for articles. Michael Hardy 21:47, 22 Nov 2004 (UTC)

Edits on Entropy by 68.6.112.70
Hi, those edits were done by me - not by the 2nd law vandal. Why do you think it was vandalism? The top part of that article is cluttered and disoganized, it needs to be broken up. Plus, the reference to the second law of thermodynamics is WRONG - did you look at the 2nd law's page? I copy pasted the definition from that page. Please tell me why I'm wrong or I will reedit the page. Fresheneesz 06:40, 21 November 2005 (UTC)


 * Whoa - I got confused. I think you did it while that guy was doing the screwy edits, and I was bouncing back and forth, and I went a way with a mental note to get the anon address, came back and just grabbed it without checking it. I will fix it, sorry about that. PAR 06:55, 21 November 2005 (UTC)

Price equation edit
Hi, I've seen your major edit on the Price equation page, and have commented on it in the Talk:Price_equation page. Please review my comments. --Anthony Liekens 11:04, 30 Nov 2004 (UTC)

Lambert's cosine law
I replied on my talk page. Oleg Alexandrov 01:24, 1 Jan 2005 (UTC)


 * Oh, and the last sentence on that page, For a Lambertian reflector, the light reflected from this source will be the same in all directions, so the radiance seen by any observer will then be proportional that incident flux which will be proportional to the cosine of the incident (not the observing) angle. does not sound right. Oleg Alexandrov 01:29, 1 Jan 2005 (UTC)

I had some comments here earlier, but removed them. I need to think more about this law. Oleg Alexandrov 21:32, 1 Jan 2005 (UTC)

Hi Paul, Welcome to Wikipedia! I asked a question on Talk:Lambert's cosine law that I suspect you could answer. Just mentioning it here in case you don't have that page on your watchlist. Dbenbenn 02:10, 6 Jan 2005 (UTC)

Lévy flight
In the Lévy flight article you recently changed "the direction of each step follows a uniform distribution" to "the direction of each step follows a Lévy distribution". Although the length of each step may follow a Lévy distribution, doesn't the direction of the step have to be uniformly distributed - otherwise the random walk would not be isotropic ? I've checked The Fractal Geometry of Nature, which definitely says that Lévy flight random walks are isotropic. Gandalf61 10:27, Jan 21, 2005 (UTC)


 * Thank you for your response. I guess the definition of "direction" depends on the dimension of the process. For a 1-dimensional Lévy flight then I agree the direction of each step is either "up" or "down", with equal probability. For a 2-dimensional Lévy flight (which is the type that Mandelbrot describes in FGoN) then the direction of each step can take any value between 0 and 360 degrees, so in this context I think the distribution of the direction would be uniform on the interval [0,360]. But the important characteristic of Lévy flights is, as you say, the distribution of the step length. I have split up the opening paragraph of the article to make it more readable, but I have not changed your new explanation, which is very clear. Gandalf61 12:00, Jan 22, 2005 (UTC)

GSL link
As far as I could see, the GSL link you want to include does not contain anything about the gamma function except its definition. It is only potentially useful for someone who wants to compute it, but then they have to have GSL installed already and that gives them the docs readily accessible on their machine. Futhermore there are lots of bits of code out there that can compute the gamma function, including some large libraries like IMSL and NAG, and packages like Maple, Mathematica, probably Matlab. Do a google search for <"gamma function" procedure> and you'll get pages of them. There is no special reason to give just GSL. We should provide links that give information about the function, not just programming manuals. That's my opinion. --Zero 11:55, 23 Jan 2005 (UTC)

Sinc
I notice you edited Sinc function, though I think there may be a problem with the definition overall. Could you take a look at Talk:Sinc function? Thanks Dysprosia 08:59, 1 Feb 2005 (UTC)

German "Sun" article
Thanks for the Babelfish translation, there's still a lot of work to be done, especially with the terminology. I have no idea what "hauptreihenstern" means for example :) so it might be a good idea for some of the german folk to help with that :). After a brief look at the article I think I can recover about 2/3 of the information for incorporation in the enlish version article. And I just want to briefly introduce myself, I go by the nickname of Smartech and I'm heading a major Solar System effort in bg: and I was looking for article about the Sun. Anyway, thanks for your efforts. Regards. --Smartech 01:16, 14 Mar 2005 (UTC)

Email
Hi Oleg - do you have an email set in preferences? I sent an email, but got no reply PAR 13:14, 18 Mar 2005 (UTC)


 * I just replied. Sorry for the delay. Oleg Alexandrov 16:56, 18 Mar 2005 (UTC)

Fourier Series

 * Hi Michael - I was about to revert edits by 142.150.160.187 on the Fourier series article (please see its

discussion page for reasons) but I noticed you had edited it for style. I want to make sure this doesn't constitute an endorsement of the article as it stands (please, I hope not!) PAR 17:22, 18 Mar 2005 (UTC)

I didn't look at it closely; I was just doing some stylistic adjustments. I have noticed that that person has written some dubious things in some math articles, so go ahead and delete his stuff if necessary. Michael Hardy 23:57, 18 Mar 2005 (UTC)

Brownian Motion
I liked your BM-Picture. How did you make it? I tried to do the same in the German wikipedia: Brownsche_Molekularbewegung any help for me? :) Thomas


 * Yours looks good. I just used a Gaussian random number generator in the x and y directions and plotted it. You could just use the image on the English page for the German page if you wanted to, after all, all images are in the public domain. I have grabbed an image off the German Sonne article for the English Sun article. PAR 16:29, 22 Mar 2005 (UTC)


 * I know that I could grab it, but I wanted to make my own one as nice as yours and I wanted to be sure that it's really Brownian Motion (I published the R source code as well, just two gaussian random walks). What software did you use? Any ideas for improving it?
 * This and many related articles in the german wikipedia are quite poor: a lot of work to do...
 * Thomas, --128.130.51.96 08:08, 23 Mar 2005 (UTC)


 * I wrote the program in IDL. It looks something like this:

n=1000 seed=0 x=randomn(seed,n) y=randomn(seed,n) plot,x,y


 * where randomn is a random number generator, which generates an n-element, 1-dimensional array of normally distributed random numbers. Seed is the random number seed, and its returned value is different from its input value. PAR 13:21, 23 Mar 2005 (UTC)

I believe you did not this: In your example x and y are normally distributed, but for Brownian Motion incements should be normally distributed. I guess (quick first look) this is the case in your picture.

Just in the case you are curious: I added another picture in the German wikipedia, where you can see (well, execute the R-code and you really see it ;) ) the convergenace of a discrete process towards BM.

Thomas, --128.130.51.96 09:48, 24 Mar 2005 (UTC)


 * Yes, you are right, sorry about that. I deleted the old code and was trying to rewrite from memory. This is

more like what I did: n=1000 seed=0 x=randomn(seed,n) y=randomn(seed,n) for i=1,n-1 do x[i]=x[i-1]+x[i] for i=1,n-1 do y[i]=y[i-1]+y[i] plot,x,y


 * I don't understand the phrase "convergence of a discrete process towards BM". BM is a discrete process, right?


 * I think you're doing some good work on that page. I will check with it occasionally to make sure the English page is competitive. Also, you might want to check out a related topic Levy flight. Its sort of a generalized Brownian motion for other stable distributions.

Brownian motion is definitely not discrete, but continous (and, btw nowhere differentiable). But it is constructed the way I tried to draw the second picture: Take an interval [t-1, t] and two normally distributed numbers B_t and B_{t-1}. Then devide the interval by two and add in the center another random number B_{t-1/2}. This process is discrete. Now you let the mesh go to zero and the discrete process tends to something that really exists (Wiener proved it first), it is continous and we call it BM. Correct me if I'm wrong.

I'd really like to improve especially the german wikipedia on this (and related) topic and there is really a lot of work to do, but I am not very expereinced yet...

Thomas, --128.131.219.28 22:54, 24 Mar 2005 (UTC)


 * I just assumed that Brownian motion referred to e.g. the motion of a particle in a liquid as it is hit by the molecules of the liquid. This is a discrete process, (assuming the duration of the impact is short compared to the free travel time between collisions). I have never tracked down the precise definition of Brownian motion, however. Are you saying that the motion of particles under molecular bombardment is only a discrete approximation to Brownian motion? This seems strange to me. PAR 03:14, 25 Mar 2005 (UTC)

I reffered to BM as a mathematical object, that's right.

But never the less I think that BM is continous. I do not want to start a philosophical question, but I can't imagine molecules that move discrete. As far as I know discrete moving does just exist in quantum physics (read this article! or just this paragraph) for electrons and other particles. (But honestly I know nothing about Quantum physics)

So I think that the mathimatical model "BM" is a quite good model for "random" movements of molecular particles - they are both very rough and not discrete, but continous.

Thomas, --128.131.219.28 23:47, 25 Mar 2005 (UTC)


 * Hello Thomas - The way I picture it is that a particle gets hit by a molecule, which instantaneously changes its direction and speed. Then it travels as a free particle for some distance L1, at which point it gets hit again.
 * It changes direction and speed again, and moves L2, until it is hit again. This motion, described by [L1,L2,...] is discrete, not continuous. There is no quantum physics involved, just classical free particles, undergoing collisions, like billiard balls. Maybe you are saying that if we go to the limit of infinitely many collisions per second, and infinitely small distances between collisions, that that is sufficiently accurate to describe what is really a discrete situation? PAR 01:01, 26 Mar 2005 (UTC)

You think of billiard balls? Very good! They definitely can't move in a discrete way. Discrete moving means, that the billiard ball is now at one end of the table and an instant later (not one second, not 0.00000001 msec later) at the other end of the table. It did not move very fast, no it jumped. You were talking about immediatement change of the direction (and speed) of the ball. I would say this means that (at some point in space and time) the movement of the ball is not differentiable.

Think of the following: billiard balls and molecules move the same way. In one dimension (on the x-axis you plot the time, on y the position) a crash lookes somehow like abs(x). If we assume Continuous time a discrete movement could be modeled by a discrete function like the Sign function.

But perhaps I missunderstood you (my poor English?) or I am wrong... we just discuss! :) I hope that now be are both happy with the layout of our discussion :) (I changed your postings as well, I hope you don't mind)

Thomas, --128.131.219.28 10:22, 26 Mar 2005 (UTC)


 * Ok, good - I think we agree on the mechanism of the motion of a particle undergoing BM. It is just the definition of "discrete" that we had trouble with. I agree - the motion of the particle is continuous except perhaps at the points of impact with molecules. I was using "discrete" to mean that the distance travelled between collisions is small, but not zero. PAR 11:13, 26 Mar 2005 (UTC)

Quantum chaos
Any chance you have a reference to the article by what's-his-name on a quantum-mechanical derivation of particles-in-a-box? Its a fascinating article: the wave functions are shown to be fractal, and space-filling the entire box. The energy levels of each eigenfunction are shown to extremely close to each other (spacing as 1/avogadro's N). Thus, for example, if you start with all of the particles on one side of the box at time=0, the wave functions, though technically filling the whole box, are destructively interfering on the empty side of the box. But at time!=0 they rather quickly fill the box. You also get a very strong sense of why irreversibility happens (due to the closeness of the spacing of the energy levels, and the fractal-space-fillingness). The author is from UC santa barbera or UC san diego .. I lost the reference... linas 17:40, 26 Mar 2005 (UTC)


 * No, sorry, I don't know of that article. Let me know if you find it, I would be interested. PAR 20:40, 26 Mar 2005 (UTC)

discrete is a disambiguation page
... so it's usually better to link to one of the pages listed on it than to it directly. Michael Hardy 23:16, 3 Apr 2005 (UTC)

Entropy
Just noticed you added the "entropy" entry to the chi-squared distribution infobox. How did you evaluate that integral? I've tried, but obviously I'm missing something. Presumably the same technique would also work for the gamma distribution. --MarkSweep 20:17, 10 Apr 2005 (UTC)


 * I used Mathematica. It wouldn't give the integral directly but these three statements gave that result:


 * f=(1/2)^(k/2)/Gamma[k/2]


 * logp=Log[f]+(k/2-1)*Log[x]-x/2


 * Simplify[PowerExpand[Integrate[-p[x]*logp,{x,-Infinity,Infinity}]]]


 * There is a on-line Mathematica integrator at http://integrals.wolfram.com/ but it only gives indefinite integrals, so I'm not sure if it will help, if you don't have Mathematica. Looking at the page, I realized that the psi or polygamma function is not mentioned, so I will fix that. PAR 20:42, 10 Apr 2005 (UTC)


 * Strange, I can't get Mathematica 5.0 to symbolically evaluate that integral. Which version did you use? --MarkSweep 21:39, 10 Apr 2005 (UTC)


 * I'm using an old version, 2.2. The troublesome part of the integral is


 * Integrate[x^(k/2-1)Exp[-x/2]*Log[x],{x,-Infinity,Infinity}]


 * which returns an expression involving the PolyGamma(0,k/2) term. I tried it on the Mathematica web page and it too solved the integral, but gave an expression involving HypergeometricPFQ. Whether the two are equivalent, I don't know. Looking at Abramowitz & Stegun, I don't see any integrals involving a Log defining the Digamma function. PAR 22:20, 10 Apr 2005 (UTC)


 * I see. Can you try to evaluate the corresponding definite integral for the standard Gamma distribution (i.e. with scale parameter equal to one)? The difficult part is again to compute $$\mathrm{E}(\ln(x))$$. I end up with the following:


 * $$(1-k)\,\Gamma'(k+1) + k + \ln\Gamma(k)$$


 * The indefinite integral corresponding to the expectation of ln(x) is expressed in terms of a hypergeometric 2F2 function that I know nothing about. Only the definite integral seems to have a simple closed form. --MarkSweep 23:20, 10 Apr 2005 (UTC)

I put in these Mathematica lines:


 * f=1/(s^k*Gamma[k])


 * logp=Log[f]+(k-1)*Log[x]-x/s


 * Simplify[PowerExpand[Integrate[-p[x]*logp,{x,xmin,xmax}]]]

and it returned:


 * k + Log[s] + Log[Gamma[k]] + PolyGamma[0, k] - k PolyGamma[0, k]

For s=1 thats almost the same as yours, since $$\Gamma'(x)/\Gamma(x)=\psi(x)$$ = Polygamma(0,x) PAR 23:59, 10 Apr 2005 (UTC)

Linking, etc.
Looking at several edits you've made (such as Image:PoissonDistribution.png), you don't seem to know how to *link* to images and categories.

To link to an image or category, preceed it with a colon: Image:PoissonDistribution.png will create Image:PoissonDistribution.png.

Also, don't put text immediately after otherwise it will

make text act like fixed-width font and put a block around it

Cburnett 03:18, Apr 11, 2005 (UTC)


 * I picked up on the linking to categories after you mentioned it on the template talk page. I didn't know about the ifd thing or the

first space causing a box.
 * Thanks for the help on that. PAR 03:34, 11 Apr 2005 (UTC)

Cburnett's admin nomination
I was nominated for administrator and I'd like to hear your opinion at Requests for adminship/Cburnett. Cburnett 07:23, Apr 24, 2005 (UTC)

Source of Parthenon image
You recently uploaded ParthenonGoldenRatio.png. I am interested in an image without the white lines. Can you tell me the source of this image? Thank you in advance! --Wolfgangbeyer 07:48, 30 Apr 2005 (UTC)

204.184.37.2
Someone removed the earlier block because it was too long. I've reblocked for one year.--Duk 18:22, 2 May 2005 (UTC)

Image:Autorecessive.png
Thanks for improving the image! --cprompt 14:54, May 4, 2005 (UTC)

Trilobites
Hi, probably best not to make so many trilobite articles with only a taxobox and no text. They are likely to get deleted. I'd love more trilobite articles, but they have to have some text. Also, some of the taxa might need to be combined into single articles because the differences between them are not that great to merit separate articles (e.g. between a superfamily and family). Thanks for the effort though and feel free to ask me any questions. --DanielCD 00:33, 7 May 2005 (UTC)


 * Ok, no problem. Its just that I looked at Phacops rana, and the next available link upwards was order Phacopida, so I clicked on that and then all of the suborders had no links downward. It seemed to me that (maybe) I was filling in some blanks. PAR 05:49, 7 May 2005 (UTC)

WikiProject Mathematics
Hi Paul. Just wondering, are you aware of the math project? Its talk page is where a lot of math issues on Wikipedia are discussed, and could be of interest to a mathematician to have on the watchlist (sort of like math news). There is also a list of participants to sign on. All this assuming you don't mind rubbing shoulders with other mathematicians. :) Oleg Alexandrov 03:09, 5 Jun 2005 (UTC)


 * Thanks, Oleg - Its now on my watch list. It looks interesting. PAR 03:27, 5 Jun 2005 (UTC)

Pareto distribution
Why link likelihood to maximum likelihood rather than to likelihood function? The method of maximum likelihood is not the only use of likelihood functions. Michael Hardy 22:29, 12 Jun 2005 (UTC)


 * Hi Michael - The technique shown in the Pareto distribution article is directly addressed in the maximum likelihood article (section="philosophy of the MLE"). Thats the only reason. I think it should be one jump to the relevant section. I will revert it soon if you have no objection. PAR 23:17, 12 Jun 2005 (UTC)

A theorem by Boltzmann
I thought I'd ask you, since you've contributed to statistical physics articles here: In the article on maximum entropy probability distributions it says under the heading A theorem by Boltzmann:


 * All the above examples are consequences of the following theorem by Boltzmann.

(The theorem is about the form of the maxent distribution when the expectation of a family of functions is known.)

The article doesn't provide any explicit source for that statement. I'm not doubting the veracity of the statement or the theorem it refers to (I've seen it proved by Jaynes), just wondering where Boltzmann stated or proved that theorem. Would you happen to know the primary source, or could you point me to the secondary literature? Thanks! --MarkSweep 14:05, 13 Jun 2005 (UTC)


 * Hi Mark - I've seen the theorem before, but no, I don't know of the primary (or secondary) sources. I'm sure it was in some statistical mechanics course or book. PAR 16:36, 13 Jun 2005 (UTC)


 * Ok, I'll check some textbooks. --MarkSweep 16:58, 13 Jun 2005 (UTC)

Correlation dimension
Sorry I didn't back to you sooner. I haven't looked at it carefully, but as it progresses on the queue of to do's I'll get to it. It generally looks OK, though. No bogosity alarms went off.--CSTAR 20:24, 22 Jun 2005 (UTC)

Hypergeometric functions
Hmm, I created that category hoping it would cover the theory of hypergeometric functions, rather than listing various special functions that are special cases. Oh well, I'll have to regroup, I guess, and maybe start a category Category:Hypergeometric function theory or something like that. No problem, I just want to keep a distinction between the theory and the list of miscellaneous special functions. linas 05:27, 27 Jun 2005 (UTC)


 * Well, lets do the right thing. I mean, there's the possibility of two sub-categories of hypergeometric functions instead of just one. PAR 28 June 2005 13:44 (UTC)

Dilogarithm - your opinion
Hi,

I looked through the article on the polylogarithm and noticed that you are one of the main contributors to that topic. Here the dilogarithm is mentioned as a special case. I feel tempted to initiate a stub article on the dilogarithm, because it is a function that relatively often pops up in physics. However, I noticed that you have made a redirection from the dilogarithm to the polylogarithm - and based on this I began wondering whether it is to specialize too much to mention the dilogarithm explicitly???

In the article I plan to start out by defining $$\mathrm{Li}_2(z) \equiv -\int_{0}^{z} \frac{\ln(1-z)}{z} dz$$ for general complex variables, show the series expansion for $$|z|<1$$. Then I will focus a little on real, negative arguments, show the asymptotic form, and a useful relation for converting a dilog with an argument smaller than -1 into the $$]-1;0[$$ range.

Finally, I plan to add a reference to : Lewin, Polylogarithms

Not at all as comprehensive as the polylog article...but a start

Anyway, I would like to hear your opinion on this. I have never written a wikipedia article before, and today is the first time I have seen one. I am just exited to see all the material that is in here, and I began wondering if I could contribute with anything usefull... KimViborg 29 June 2005 22:35 (UTC)


 * I think that would be an excellent idea. Any material that is specific to the dilogarithm, but not to the polylogarithm could go in a separate article. If there is enough material, then it SHOULD go in a separate article. If you have results that apply to the polylogarithm AND the dilogarithm, please put it in the polylogarithm article as well. Not that I am an expert, but if you have any questions, just ask. PAR 30 June 2005 03:27 (UTC)

Fluctuation theorem
I thought you might be interested in this article based on your user page: Fluctuation theorem :-) --HappyCamper 3 July 2005 20:28 (UTC)

Polylogs
Hi, I replied on Talk:Polylogarithm linas 8 July 2005 19:22 (UTC)

Grassmann
If you look at the biography of Grassmann, you'll see it mentions his color work. The law comes, I believe, from his article "Theory of compound colors", Philosophical Magazine 4 (7), 1854, 254-264. You can cross-check in a few library catalogues under, e.g. Sources of color science, ed. David L. MacAdam, MIT Press [1970]. --Macrakis 23:35, 11 July 2005 (UTC)

Web search finds Grassmann's three color laws covered in http://wwwzenger.informatik.tu-muenchen.de/lehre/vorlesungen/graphik/info/csc/COL_11.htm. See also http://www.colorsystem.com/grundlagen/bibl1.htm for more bibliography. Then there is Grassmann's Law in historical linguistics. --Macrakis 13:47, 12 July 2005 (UTC)

Revived WikiProject on probability and statistics
Hi PAR, got your message. I've started to revive WikiProject Probability, which had been more or less dormant for well over a year. I think this would be a natural place to discuss guidelines for probability related articles, open tasks, etc. My plan is to expand it and clean it up a bit, and then notify the people who are already signed up on the WikiProject page, as well as the regular contributors on Template talk:probability distribution, and perhaps others who might be interested. What do you think? --MarkSweep 03:00, 18 August 2005 (UTC)


 * Yes, sounds like a good idea to me. Whats the time frame on this? PAR 06:11, 18 August 2005 (UTC)


 * Don't know how long it's going to take. I personally don't have a lot of time at the moment, and the project page needs a bit more work. But I've cleaned out Wikipedia talk:WikiProject Probability, which could be used for discussions right away. --MarkSweep 06:54, 18 August 2005 (UTC)

Balcoracania dailyi
If you don't know the authority for a name, you can use &#123;{Taxobox section binomial simple}}. That allows taxoboxes without authorities to be found and fixed. It's not a good idea to guess; Balcoracania dailyi wasn't named by Daily — that would have been the height of vanity! — but by Pocock. Gdr 23:29:43, 2005-08-22 (UTC)


 * Ok, I understand. Thanks for pointing that out. PAR 01:07, 23 August 2005 (UTC)

Tent map
Really nice bifurcation diagram - thanks ! You are right, I had got the Julia set wrong in my original description of the behaviour for &mu; between 1 and 2 - it is not the whole of the interval from 0 to &mu;/2, but just the part from &mu;-&mu;^2/2 to &mu;/2. I have fixed this in the article. I am interested in your views on how the explanation of the map's dynamic behaviour can be improved - which parts are still not very clear, for example ? Gandalf61 15:28, 13 September 2005 (UTC)


 * I'm just guessing at the meanings of "stable", "attractive", and "fixed". Are there any links that would explain these ideas more clearly. Also, I wanted to extend the bifurcation diagram out to &mu;=3, but my simple program didn't do it very well. It just picks x=0.25 and iterates. Any ideas? PAR 21:11, 13 September 2005 (UTC)

I've added some explanations and various other expansions and fixes to the article - do you think it is clearer now ? Extending your diagram beyond &mu;=2 will be difficult because a point chosen at random within the interval [0,1] will almost certainly diverge to infinity eventually, and a fixed point such as x=0.25 will diverge to infinity for most values of &mu;. This is because the "peak" of the tent map is now above the line f(x)=1, so an interval each side of x=0.5 is now mapped outside of the interval [0,1]. As the map is iterated this interval is replicated at smaller scales across the interval [0,1], and eventually fills "almost all" of this interval. A more technical way of putting this is to say that the measure (mathematics} of the Cantor set is 0. One way to draw an approximation to the Cantor set is by backward iteration i.e. see where a point in [0,1] might have come from in previous iterations. If you go back one iteration there are two places it might have come from; two iterations back there are four places etc. After going back 10 generations or so, all "forerunners" will be fairly close to points within the Cantor set. Gandalf61 11:24, 15 September 2005 (UTC)


 * I think its a lot better, and also, I see what you mean by the description of the behavior for &mu; greater that 2, thanks for that explanation. I do have another question, however. The article states:


 * if μ is between 1 and the square root of 2 the system maps a pair of intervals between &mu;-&mu;2/2 and &mu;/2 to themselves.


 * I'm thinking this relates to the big "slice" in the middle of the bifurcation diagram that extends from &mu;=0  to what looks like about &mu;=1.4. However, if you click on the image, and look at the large version, there are two smaller slices on either side of the big slice that extend out to about 1.19, and I presume maybe four smaller slices between them as well, ad infinitum, so perhaps the above statement needs to be modified? PAR 12:33, 15 September 2005 (UTC)


 * Hmmm ... I see what you mean. The curves at the boundaries of the smaller slices are higher level iterations of 0.5. They cross at the fourth root of 2, which is about 1.1892. Looks like there is more fine structure in there than I realised. I shall have to think about this ... Gandalf61 16:23, 15 September 2005 (UTC)

list of probability topics
Hello. When you create a new article on probability, could you add it to the list? Thanks. Michael Hardy 20:33, 27 September 2005 (UTC)

Log-normal distribution and entropy
Hi there! I am not so familiar with the Log-normal distribution, but I was quite surprised to read that the entropy of this distribution is independent of its standard deviation. Is this really the case? If so, do you have a derivation of this on hand so I can look at it? It is such a surprising and intriguing result for me to have come across; I'd like to look at this interesting thing closer if you could point me in the right direction. Thanks for your help! --HappyCamper 14:07, 28 September 2005 (UTC)


 * Its surprising because its wrong - I fixed it. I think this article needs to be error checked. I will do it, but if you see any more, let me know. PAR 16:26, 28 September 2005 (UTC)


 * Hey there. How about the suspicious kurtosis of 2.4 for the Fisher-Tippett distribution, and the missing entropy? An anonymous user has suggested that it be merged with Generalized extreme value distribution, but I don't know if this would be appropriate or not. Could you take a look if you get a chance? --HappyCamper 20:33, 4 October 2005 (UTC)


 * The entropy is there, but I still have to check if its right. 2.4 is the correct value for kurtosis. I would expect it to be a number, since the only parameters are a shift and a scale parameter. As for merging with the generalized I would prefer it to remain separate since it is a considerable simplification of the generalized. I will put in the fact that the FT is a special case of the generalized, however. That seems to be missing from the generalized article. PAR 04:57, 5 October 2005 (UTC)

You're really not supposed to remove afd's
But I'll let it slide. I'll wait a bit and see if your article starts looking encyclopedic. So far it looks a bit like you just took a picture and added a caption. I suggest looking at existing beach articles as a model, such as Pacific Beach, if that's what you're trying to write. Citizen Premier 21:58, 30 September 2005 (UTC)

Oh, you are so kind. One of the links is Lagerstatte, check it out. It explains the motivation of the article. PAR 22:51, 30 September 2005 (UTC)

Is that what you call "letting it slide"? PAR 23:01, 30 September 2005 (UTC)

Please vote on list of lists, a featured article candidate
Please vote at Featured list candidates/List of lists of mathematical topics. Michael Hardy 21:08, 13 October 2005 (UTC)

Dirac image
Hi, I just wanted to ask you the way you made the image Image:Dirac distribution CDF.png: which programme did you use?? Alessio Damato 17:44, 30 October 2005 (UTC)


 * I used IDL and then some photoshop, but you should be able to do it with gnuplot and gimp as well. PAR 18:48, 30 October 2005 (UTC)


 * what is IDL?? Alessio Damato 16:32, 31 October 2005 (UTC)


 * Interactive Data Language - Check out the IDL programming language article. I think the GNU version is GNU data language. PAR 18:00, 31 October 2005 (UTC)

stereographic projection
Hello. Although the mathematical notation you added to Image:Stereographic.png was useful, I've edited it to conform to Wikipedia conventions in several respects: (1) round brackets rather than square; (2) italicized variables to match TeX style; (3) spacing before and after the minus sign; (4) using a long dash rather than a stubby little hyphen for the minus sign (TeX does (3) and (4) automatically, but I don't know any way of incorporating TeX into figures drawn with xfig). Michael Hardy 21:57, 5 November 2005 (UTC)


 * Hi Michael - it looks to me like you have fixed the image. Is there anything you think I should do? PAR 22:15, 5 November 2005 (UTC)

TfD nomination of Template:Book reference edition
Template:Book reference edition has been nominated for deletion. You are invited to comment on the discussion at Templates for deletion. Thank you. Phil | Talk 16:16, 8 November 2005 (UTC)

Discrete probability functions
Hi,

did you plot PDF en CDF curves of functions like Uniform, Degenerate, etc... with gnuplot ? If so, could you provide the gnuplot source code, so it would be possible to create more plots using the same style?

regards --LimoWreck 21:24, 15 November 2005 (UTC)


 * Hello - I did those plots in IDL but the specifications for the plots are all at Template talk:probability distribution. Please let me know if you need any more help or clarification, ok? PAR 22:15, 15 November 2005 (UTC)

Re: Move Philosophy of thermal and statistical physics
You wrote: Hello - I would like to move the information in Philosophy of thermal and statistical physics to the thermodynamics article. I think all of its content belongs there. What do you think? PAR 00:58, 17 November 2005 (UTC)


 * Hi. I think it's a good move, all in all, but I don't have time to help out right now. Karol 11:29, 17 November 2005 (UTC)

Australian trilobite taxoboxes
Hi PAR - found an error in several or all of them: the link should be Species, not Species. One species, two species; specie is something different altogether! You might want to check your template - thanks, MPF 21:44, 18 November 2005 (UTC)


 * Yes, thanks for fixing that. Everything looks fine. PAR 22:25, 18 November 2005 (UTC)

Derivation of Maxwell-Boltzmann statistics
Hi Par, I derived Maxwell-Boltzmann statistics (http://trieu.luqui.org/blog/?p=141#comments). Am I wrong? I am a reader from wikipedia. I wish you take a little time to read my derivation which is based on method of derivation of partition function that I have just learnt from wikipedia. Please enlighten me? Thank you Trieu 16:48, 20 November 2005 (UTC)

I don't think it is correct. You have individual energies for each mj (you call them Ej) but thats not right. All of the boxes in level i have the same energy, the energy should be Ei. I dont think you want to maximise Wi, the number of ways of putting ni particles in gi boxes, but rather you want to maximise W, the number of ways of putting n1 in to g1, n2 into g2, etc. Also, I would change the notation, and instead of using mj, I would use nij, so that the sum of nij over all j gives ni. It makes it easier to follow. PAR 20:59, 20 November 2005 (UTC)

Thermodynamics, vandalism, etc.
The page is protected now (somebody else got to it first), and I'll be watching the vandals. Vandals always disappoint me: at least someone could have had the decency to replace the second law of thermodynamics article with "The second law of thermodynamics is, you do NOT talk about thermodynamics." Anyway, you probably have the thermodynamics-related pages bookmarked already, and if so, you'll spot the vandals before others do. Which brings me to my question: I think you deserve better tools to keep the vandals at bay; may I nominate you for adminship? --MarkSweep (call me collect) 05:44, 22 November 2005 (UTC)


 * Hi Mark - Thanks for the potential help on that. It would be an honor to be nominated, I will send you an email. Thanks. PAR 07:27, 23 November 2005 (UTC)