Dear members of the list,

Is it the goal of the list to discuss mathematical basic calculus? Everything
can be read e.g. in 
Abramowitz and Stegun (eds.) (1964): Handbook of Mathematical Functions.
National Bureau of Standards. 

Best regards,
Rudi Dutter

[EMAIL PROTECTED] wrote:
> 
> Hello list,
> 
> Here is the 'trick' I came across in diffusion studies, which might not not
> fully satisfy the pure  mathematicians in the list, but I can see the
> picture, so I like it. This goes as follows :-
> 
> Start with the standard statement that the  integral from minus to plus
> infinity of e raised to power -1/2((x-m)^2)/(s^2)  dx = ssqrt(2p)
> First step substitute y = (x-m)/s into the above relationship.
> 
> Now we want to show that A= (is equivalent to) the transformed integral
> from minus infinity to plus infinity of e raised to the power -1/2 y^2 dy =
> sqrt(2p)
> If we consider A^2, then we can write this as the product of two integrals
> of the above form, one in x and the other in y. This is then combined as
> the double integral (with the same limits)  of  e raised to the power -1
> /2(x^2 +y^2) dx dy. This double integral is the volume under the bell
> shaped surface e^(-1/2(x^2 + y^2)).
> 
> Now x^2 + y^2 = the square of the distance of point x, y from the origin,
> denote this by r^2. The area of a ring, distance r from the origin, and
> width dr, = 2prdr.
> 
> The volume of a cylindrical shell with this annulus as its  base, and with
> height,  e^(-1/2(r^2)), so that it just touches the bell shaped surface is
> (e^(-1/2(r^2))) 2prdr
> 
> Therefore A^2 = 2p times the  integral from zero to infinity of  (r times
> e^(-1/2(r^2)) dr . On integration this gives A^2 = 2p[-e^(-1/2(r^2))]
> evaluated from zero to infinity. Substituting  in for the limits -  gives
> when inifinity (or try a large number) is substituted for r,  the
> expression yields zero, when zero is substituted for r, then the expression
> yields minus 1, which is subtracted from the upper limit, so it becomes
> plus 1,  giving A^2 = 2p. We wanted to find A, so we take the square root
> of this giving,  A = sqrt(2p).
> 
> Sorry I didn't have the symbolic representation, but if you write it out it
> you should be able to folllow the above line of reasoning.
> 
> In some versions of the above  'trick' you might see that they define the
> 'square' base area with co-ordinates x and y, but then replace x & y more
> formally with polar co-ordinates r and q giving  x = r cos q and y = r sin
> q, They then replace the element of area (dx, dy) by (r dr dq), and the
> range of integration has to be altered from the square OABC (O = origin, C
> = distance along x axis, A = distance along y axis, B = opposite corner to
> O) to the quadrant OAC, which results in an error denoted by e. This is the
> space between the  outer 'box' and the curve joining x (C) and y (A).  In
> this case the limits of integration are :- outer limit  from 0 to R, inner
> limit from 0 to p/2. The expression to be evaluated changes to
> (e^(- r^2))r dr dq, plus the error term  e. The volume represented by e has
> a base area which is less than 1/2 R^2, and a maximum height of exp (-
> R^2). Thus
> 
> e < 1/2 R^2 exp( - R^2),   thus as R goes to infinity, e goes to 0. This
> might  satisfy Digby?
> 
> Thus A^2 = 1/4p - 1/4 p exp(- R^2) + e
> 
> Therefore, as  R  goes to infinity, A^2 goes to 1/4p. In this latter case
> the algebra had been simplified at the start by removing the normalising
> factor,  2/(sqrt(p)), which is used to make  erf ( inifinity ) = 1.
> 
> I hope this helps.
> 
> John Butler
> 
> Gerald van den Boogaart <[EMAIL PROTECTED]> on 20/12/2005 09:54:17
> 
> Please respond to [EMAIL PROTECTED]
> 
> To:    "Digby Millikan" <[EMAIL PROTECTED]>
> cc:    "AI Geostats mailing list" <[email protected]>
> 
> Subject:    Re: [ai-geostats] Cumulative gaussian distribution
> 
> Dear Digby Millikan,
> 
> William Harper told us that the area under the Gauss density
> f(x)=exp(-x^2 /2)/(sqrt(2pi))
> is 1 and we all know that he is right.
> 
> Anyway I'll try to answer your consern, how that could be true.
> 
> Indeed to those who might smile on Digbys consern, I have to say that this
> is
> a nontrivial finding of higher mathematical calculus, which probably non of
> the non mathematicians in the mailing list could prove. On one hand you
> need
> Lebesgue integration theory or at least improper Riemann integrategrals to
> even define, what the area under an infinite curve might be. Second the
> actual value is to my knowledge most easy obtained as a result of the
> residual theorem from function theory. Or has anyone a simple idea where
> the
> pi comes in and don't forget that the integral function of the curve does
> not
> have a closed form. Its just that we learned that the area is one, and we
> are
> good belivers.
> 
> >  I was wondering how the area under a gaussian distribution curve is 1 if
> > the tails go off to infinite?, the area must be infinite unless some
> unless
> some
> 
> Your concern might be reduced to the concern, how a sum of infinitly many
> summands might stay finite, since the area under the tails is the sum of
> the
> areas in the intervalls from i to i+1 for all integer number i. I will give
> a
> simple example of such sum of infinitly many summands adding to 1.
> 
> The i-th summand should be a_i = 0.5^i.
> 
> We start to add
> 0      +0.5       = 0.5
> 0.5   +0.25     = 0.75
> 0.75 +0.125   = 0.875
> ...
> 
> In each line we added the half of that what was missing to 1
> 
> 0      +0.5       = 0.5           ; (1-0     )/2=0.5
> 0.5   +0.25     = 0.75         ; (1-0.5  )/2=0.25
> 0.75 +0.125   = 0.875       ; (1-0.75)/2=0.125
> ...
> 
> It is easy to accept that we never get a value bigger than 1 because we
> always
> only add the half of what was missing to 1. On the other hand the distance
> to
> 1 is cut down to a half in every step and thus finally the distance to 1
> drops under any e > 0.
> 
> The abstraction that in this case the values of the sequence converges to 1
> and that  than the value of the infinite sum is 1, is one of the great and
> early historic achievments of calculus long before derivatives and
> integration and is linked to the initial definition of real numbers (which
> are actually defined as equivalence classes of (Cauchy)-sequences of
> rational
> numbers).
> 
> A historic joke on that problem of finite sequences is the saying about the
> greek hero Achill who was known as a fast runner and a turtel. It goes as
> follows: A turle is running (or better say slowly crawling) 10 meter in
> front
> of Achill. Can he catch the turtle. The historic argument was: No, because
> in
> the time Achill needs to run the 10meter (say 1sec, he was really fast) the
> turtle advanced a little say 1 Meter, than in the time Achill needs to run
> this meter the turle advances again, and so on for ever again, such that
> Achill never reaches the turtle, since we get an infinite sum of timeslices
> before he reaches the turtle. However all of us know that after 2 seconds
> Achill has passed the turtle by 8 Meter since he got 20 Meters and the
> turle
> only 2. So we all know that Achill catches the turle. Only our brains play
> a
> trick on us in making us believe that an infinite sum of times must be
> infinite hindering Achill to catch the turle by taking him infinite time to
> run after it.
> 
> Merry Chrismas,
> Gerald v.d. Boogaart
> 
> Am Dienstag, 20. Dezember 2005 00:03 schrieb Digby Millikan:
> > Dear Madam/Sir,
> >
> >
> >
> >  I was wondering how the area under a gaussian distribution curve is 1 if
> > the tails
> >
> > go off to infinite?, the area must be infinite unless some unless some
> > approximation
> >
> > is made?
> >
> >
> >
> > Digby
> 
> --
> -------------------------------------------------
> Prof. Dr. K. Gerald v.d. Boogaart
> Professor als Juniorprofessor fuer Statistik
> http://www.math-inf.uni-greifswald.de/statistik/
> 
> office: Franz-Mehring-Str. 48, 1.Etage rechts
> e-mail: [EMAIL PROTECTED]
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> fax:    00+49 (0)89-1488-293932 (Faxmail)
> fax:    00+49 (0)3834/86-4615   (Institut)
> 
> paper-mail:
> Ernst-Moritz-Arndt-Universitaet Greifswald
> Institut f?r Mathematik und Informatik
> Jahnstr. 15a
> 17487 Greifswald
> Germany
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-- 
~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=
From: Prof. Dr. Rudolf Dutter
      Dept. of Statistics and Probability Theory
      Vienna University of Technology,
      Wiedner Hauptstr. 8-10
      A-1040 Vienna, Austria
      Tel. +43 1 58801/10730
      FAX  +43 1 58801/10799
      E-Mail: [EMAIL PROTECTED]
      Internet: http://www.statistik.tuwien.ac.at/public/dutt/
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