Re: Mathematical methods for the discrete space-time.

2008-11-24 Thread Torgny Tholerus

Jason Resch skrev:
 I am not sure how related this is to what you ask in your original 
 post, but as for a model (and candidate TOE) of physics which is 
 discrete, there is a theory known as Hiem Theory 
 ( http://en.wikipedia.org/wiki/Heim_Theory ) which posits there are 
 six discrete dimensions.  Interestingly, the theory is able to predict 
 the masses of many subatomic particles entirely from some force 
 constants, something which even the standard model is unable to explain.

I have now looked at Heim Theory, but it does not look enough serious to 
me.  Every theory that compute the masses of the elementary particles 
from nothing, must be wrong.  Because in different possible universa the 
masses of the elementary particles are different.  Besides, the Heim 
Theory could not explain the quarks.

But from the Heim Theory article I followed a link to Difference 
operator ( http://en.wikipedia.org/wiki/Difference_operator ), and that 
article was much more interesting, because there you could find the 
extended Leibniz rule.

And from that article I found a link to Umbral calculus ( 
http://en.wikipedia.org/wiki/Umbral_calculus ), that look like exactly 
what I am looking for.  The Umbral calculus seems to be a good candidate 
for a tool for handling discrete space-time!

-- 
Torgny Tholerus


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Re: Mathematical methods for the discrete space-time.

2008-11-24 Thread Jason Resch
On Mon, Nov 24, 2008 at 9:30 AM, Torgny Tholerus [EMAIL PROTECTED] wrote:


 Jason Resch skrev:
  I am not sure how related this is to what you ask in your original
  post, but as for a model (and candidate TOE) of physics which is
  discrete, there is a theory known as Hiem Theory
  ( http://en.wikipedia.org/wiki/Heim_Theory ) which posits there are
  six discrete dimensions.  Interestingly, the theory is able to predict
  the masses of many subatomic particles entirely from some force
  constants, something which even the standard model is unable to explain.

 I have now looked at Heim Theory, but it does not look enough serious to
 me.  Every theory that compute the masses of the elementary particles
 from nothing, must be wrong.  Because in different possible universa the
 masses of the elementary particles are different.  Besides, the Heim
 Theory could not explain the quarks.


Well the masses are not derived out of no where, the article states: The
predicted masses were claimed to have been derived by Heim using only 4
parameters - h (Planck's
Constanthttp://en.wikipedia.org/wiki/Planck%27s_Constant),
G (Gravitational constanthttp://en.wikipedia.org/wiki/Gravitational_constant
), vacuum permittivity http://en.wikipedia.org/wiki/Vacuum_permittivity
 and permeabilityhttp://en.wikipedia.org/wiki/Permeability_(electromagnetism)
.



 But from the Heim Theory article I followed a link to Difference
 operator ( http://en.wikipedia.org/wiki/Difference_operator ), and that
 article was much more interesting, because there you could find the
 extended Leibniz rule.

 And from that article I found a link to Umbral calculus (
 http://en.wikipedia.org/wiki/Umbral_calculus ), that look like exactly
 what I am looking for.  The Umbral calculus seems to be a good candidate
 for a tool for handling discrete space-time!


Great!  I'm glad it helped.

Jason

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Re: Mathematical methods for the discrete space-time.

2008-11-20 Thread Torgny Tholerus

Torgny Tholerus skrev:

 What I want to know is what result you will get if you start from the 
 axiom that *everything in universe is finite*.
   

One important function in Quantum Theory is the harmonic oscillator.  So 
I want to know: What is the corresponding function in discrete mathematics?

In continuous mathematics you have the harmonic oscillator defined by 
the differential equation D^2(f) + k^2*f = 0, which will have one of its 
solutions as:

f(t) = exp(i*k*t) = cos(k*t) + i*sin(k*t), where i is sqrt(-1).

In discrete mathematics you have the corresponding oscillator defined by 
the difference equation D^2(f) + k^2*f = 0, which will have one of its 
solutions as:

f(t) = (1 + i*k)^t = dcos(k*t) + i*dsin(k*t), where dcos() och dsin() 
are the corresponding discrete functions of the continuous functions 
cos() and sin().

So what is dcos() and dsin()?

If you do Taylor expansion of the continuos function you get:

exp(i*k*t) = Sum((i*k*t)^n/n!) = Sum((-1)^m*k^(2*m)*t^(2*m)/(2*m)!) + 
i*Sum((-1)^m*k^(2*m+1)*t^(2*m+1)/(2*m+1)!)

And if you do binominal expansion of the discrete function you get:

(1 + i*k)^t = Sum(t!/((t-n)!*n!)*(i*k)^n) = 
Sum((-1)^m*k^(2*m)*(t!/(t-2*m)!)/(2*m)!) + 
i*Sum((-1)^m*k^(2*m+1)*(t!/(t-2*m-1)!)/(2*m+1)!)

When you compare these two expession, you see a remarkable resemblance!  
If you replace t^n in the upper expression with t!/(t-n)! you will then 
get exactly the lower expression!

This suggest the general rule:

If the Taylor expansion of a continuous function f(x) is:

f(x) = Sum(a(n)*x^n) = Sum(a(n)*Prod(n;x)),

then the corresponding discrete funtion f(x) is:

f(x) = Sum(a(n)*x!/(x-n)!) = Sum(a(n)*Prod(n;x-m)),

where Prod(n;x-m) = x*(x-1)*(x-2)* ... *(x-n+2)*(x-n+1) is a finite product.

I have no strict proof of this general rule.  But this rule is such a 
beautifil result, that it simply *must* be true!

-- 
Torgny


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Re: Mathematical methods for the discrete space-time.

2008-11-14 Thread Bruno Marchal


On 13 Nov 2008, at 14:21, Torgny Tholerus wrote:


 Bruno Marchal skrev:
 I have to think. I think that to retrieve a Leibniz rule in discrete
 mathematics, you have to introduce an operator and some non
 commutativity rule. This can be already found in the book by Knuth on
 numerical mathematics. This has been exploited by Kauffman and one of
 its collaborator, and they have published a book which I have ordered
 already two times ... without success. It is a very interesting  
 matter.
 Dirac quantum relativistic wave equation can almost be retrieved form
 discrete analysis on complex or quaternion. It is worth investigating
 more. Look at Kauffman page (accessible from my url), and download  
 his
 paper on discrete mathematics.


 I will look closer at the Kauffman paper on Non-commutative Calculus  
 and
 Discrete Physics.  It seems interesting, but not quite what I am  
 looking
 for.  Kauffman only gets the ordinary Leibniz rule, not the extended
 rule I have found.

Ah?




 What I want to know is what result you will get if you start from the
 axiom that *everything in universe is finite*.

Like with comp + occam. Look I think I will concentrate on the MGA  
thread for a period.
Meanwhile I will ask one of my student, who has a craving for discrete  
math, to take a look on your finite calculus, and he will contact you  
in case he find it interesting. Sorry but I have not so much time  
those days.

Best,


Bruno




 For this you will need a function calculus.  A function is then a
 mapping from a (finite) set of values to this set of values.  Because
 this value set is finite, you can then map the values on the numbers
 0,1,2,3, ... , N-1.

 So a function calculus can be made starting from a set of values
 consisting of the numbers 0,1,2,3, ... , N-1, where N is a very large
 number, but not too large.  N should be a number of the order of a
 googol, ie 10^100.  Because the size of our universe is 10^60 Planck
 units, and our universe has existed for 10^60 Planck times.  As the
 arithmetic, we can count modulo N, ie (N-1) + 1 = 0.  This makes it
 possible for the calculus to describe our reality.

 A function can then be represented as an ordered set of N numbers,  
 namely:

 f = [f(0), f(1), f(2), f(3), ... , f(N-1)].

 This means that S(f) becomes:

 S(f) = [f(1), f(2), f(3), ... , f(N-1), f(0)].

 The sum or the product of two functions is obtained by adding or
 multiplying each element, namely:

 f*g = [f(0)*g(0), f(1)*g(1), f(2)*g(2), ... , f(N-1)*g(N-1)].

 and to apply a function f on a function g then becomes:

 f(g) = [f(g(0)), f(g(1)), f(g(2)), ... , f(g(N-1))].

 Exercise: Show that the extended Leibniz rule in the discrete
 mathematics: D(f*g) = f*D(g) + D(f)*g + D(f)*D(g), is correct!

 -- 
 Torgny Tholerus

 

http://iridia.ulb.ac.be/~marchal/




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Re: Mathematical methods for the discrete space-time.

2008-11-14 Thread Torgny Tholerus

Torgny Tholerus skrev:

 Exercise: Show that the extended Leibniz rule in the discrete 
 mathematics: D(f*g) = f*D(g) + D(f)*g + D(f)*D(g), is correct!
   


Another way to see both form of the Leibniz rule is in the graphical set 
theory, where you represent the sets by circles on a paper.  Here I will 
represent the union of the sets A and B with A + B, and the 
intersection as A*B.

Then you can represent the D operator as the border of the circle.

Then you will have:

D(A*B) = A*D(B) + D(A)*B, ie the Leibniz rule, ie the border of the area 
of the intersection is the union of the border of B inside A, and the 
border of A inside B.  I can not show this figure in this message, but 
you can draw two circles on a paper before you, and you will then see 
what I mean.

Now the interesting thing is what will happen if the circles have 
*thick* borders:  Then the set A is represented by two circles inside 
each other, and the border will then be the area between the two 
circles.  The set A will then be the interior of the inner circle, and 
the outside of A will be the outside of the outer circle.

What will you then get if you look at the border of the intersection of 
A and B?

This time you will get:

D(A*B) = A*D(B) + D(A)*B + D(A)*D(B), ie the extended Leibniz rule.  The 
extra term then comes from the two small squares you get where the two 
borders cross each other.  (Do draw this figure om the paper before you, 
and you will understand.)

This picture with the circles with thick borders is a way to represent 
intiutionistic logic.  The interior of the inner circle is the objects 
that represent A (such as red), and the outside of the outer circle 
represent not-A (such as not red).  Inside the border you will have 
all that is neither A nor not-A (such as red-orange, where you don't 
know if it is red or not...)

-- 
Torgny Tholerus

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Re: Mathematical methods for the discrete space-time.

2008-11-13 Thread Bruno Marchal

I have to think. I think that to retrieve a Leibniz rule in discrete 
mathematics, you have to introduce an operator and some non 
commutativity rule. This can be already found in the book by Knuth on 
numerical mathematics. This has been exploited by Kauffman and one of 
its collaborator, and they have published a book which I have ordered 
already two times ... without success. It is a very interesting matter. 
Dirac quantum relativistic wave equation can almost be retrieved form 
discrete analysis on complex or quaternion. It is worth investigating 
more. Look at Kauffman page (accessible from my url), and download his 
paper on discrete mathematics. There are also interesting relations 
with knots, and even with the way lambda calculus could be used to 
provide semantics for the Fourth and fifth arithmetical hypostases, but 
to be sure I have failed to exploit this. If this were true, the 
background comp physical reality would be described by a sort of 
number theoretical quantum topology. That would explain also the role 
of exceptional (and monstruous) finite simple groups. You are perhaps 
on a right track, but in a incredibly complex labyrinth ... to be 
honest ...

Bruno


Le 12-nov.-08, à 18:44, Torgny Tholerus a écrit :



 When you are going to do exact mathematical computations for the
 discrete space-time, then the continuous mathematics is not enough,
 because then you will only get an approximation of the reality.  So
 there is a need for developing a special calculus for a discrete
 mathematics.

 One difference between continuous and discrete mathematics is the rule
 for how to derívate the product of two functions.  In continuous
 mathematics the rule says:

 D(f*g) = f*D(g) + D(f)*g.

 But in the discrete mathematics the corresponding rule says:

 D(f*g) = f*D(g) + D(f)*g + D(f)*D(g).

 In discrete mathematics you have difference equations of type: x(n+2) =
 x(n+1) + x(1), x(0) = 0, x(1) = 1, which then will give the number
 sequence 0,1,1,2,3,5,8,13,21,34,55,... etc.  For a general difference
 equation you have:

 Sum(a(i)*x(n+i)) = 0, plus a number of starting conditions.

 If you then introduce the step operator S with the effect: S(x(n)) =
 x(n+1), then you can express the difference equation as:

 Sum((a(i)*S^i)(x(n)) = 0.

 You will then get a polynom in S.  If the roots (the eigenvalues) to
 this polynom are e(i), you will then get:

 Sum(a(i)*S^i) = Prod(S - e(i)) = 0.

 This will give you the equations S - e(i) = 0, or more complete: (S -
 e(i))(x(n)) = S(x(n)) - e(i)*x(n) = x(n+1) - e(i)*x(n) = 0, which have
 the solutions x(n) = x(0)*e(i)^n.

 The general solution to this difference equation will then be a linear
 combination of these solutions, such as:

 x(n) = Sum(k(i)*e(i)^n), where k(i) are arbitrary constants.

 To get the integer solutions you can then build the eigenfunctions:

 x(j,n) = Sum(k(i,j)*e(i)^n) = delta(j,n), for n  the grade of the
 difference equation.

 With the S-operator it is then very easy to define the difference- or
 derivation-operator D as:

 D = S-1, so D(x(n)) = x(n+1) - x(n).

 What do you think, is this a good starting point for handling the
 mathematics of the discrete space-time?

 -- 
 Torgny Tholerus

 

http://iridia.ulb.ac.be/~marchal/


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Re: Mathematical methods for the discrete space-time.

2008-11-13 Thread Torgny Tholerus

Bruno Marchal skrev:
 I have to think. I think that to retrieve a Leibniz rule in discrete 
 mathematics, you have to introduce an operator and some non 
 commutativity rule. This can be already found in the book by Knuth on 
 numerical mathematics. This has been exploited by Kauffman and one of 
 its collaborator, and they have published a book which I have ordered 
 already two times ... without success. It is a very interesting matter. 
 Dirac quantum relativistic wave equation can almost be retrieved form 
 discrete analysis on complex or quaternion. It is worth investigating 
 more. Look at Kauffman page (accessible from my url), and download his 
 paper on discrete mathematics.


I will look closer at the Kauffman paper on Non-commutative Calculus and 
Discrete Physics.  It seems interesting, but not quite what I am looking 
for.  Kauffman only gets the ordinary Leibniz rule, not the extended 
rule I have found.

What I want to know is what result you will get if you start from the 
axiom that *everything in universe is finite*.

For this you will need a function calculus.  A function is then a 
mapping from a (finite) set of values to this set of values.  Because 
this value set is finite, you can then map the values on the numbers 
0,1,2,3, ... , N-1.

So a function calculus can be made starting from a set of values 
consisting of the numbers 0,1,2,3, ... , N-1, where N is a very large 
number, but not too large.  N should be a number of the order of a 
googol, ie 10^100.  Because the size of our universe is 10^60 Planck 
units, and our universe has existed for 10^60 Planck times.  As the 
arithmetic, we can count modulo N, ie (N-1) + 1 = 0.  This makes it 
possible for the calculus to describe our reality.

A function can then be represented as an ordered set of N numbers, namely:

f = [f(0), f(1), f(2), f(3), ... , f(N-1)].

This means that S(f) becomes:

S(f) = [f(1), f(2), f(3), ... , f(N-1), f(0)].

The sum or the product of two functions is obtained by adding or 
multiplying each element, namely:

f*g = [f(0)*g(0), f(1)*g(1), f(2)*g(2), ... , f(N-1)*g(N-1)].

and to apply a function f on a function g then becomes:

f(g) = [f(g(0)), f(g(1)), f(g(2)), ... , f(g(N-1))].

Exercise: Show that the extended Leibniz rule in the discrete 
mathematics: D(f*g) = f*D(g) + D(f)*g + D(f)*D(g), is correct!

-- 
Torgny Tholerus

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Mathematical methods for the discrete space-time.

2008-11-12 Thread Torgny Tholerus


When you are going to do exact mathematical computations for the 
discrete space-time, then the continuous mathematics is not enough, 
because then you will only get an approximation of the reality.  So 
there is a need for developing a special calculus for a discrete 
mathematics.

One difference between continuous and discrete mathematics is the rule 
for how to derívate the product of two functions.  In continuous 
mathematics the rule says:

D(f*g) = f*D(g) + D(f)*g.

But in the discrete mathematics the corresponding rule says:

D(f*g) = f*D(g) + D(f)*g + D(f)*D(g).

In discrete mathematics you have difference equations of type: x(n+2) = 
x(n+1) + x(1), x(0) = 0, x(1) = 1, which then will give the number 
sequence 0,1,1,2,3,5,8,13,21,34,55,... etc.  For a general difference 
equation you have:

Sum(a(i)*x(n+i)) = 0, plus a number of starting conditions.

If you then introduce the step operator S with the effect: S(x(n)) = 
x(n+1), then you can express the difference equation as:

Sum((a(i)*S^i)(x(n)) = 0.

You will then get a polynom in S.  If the roots (the eigenvalues) to 
this polynom are e(i), you will then get:

Sum(a(i)*S^i) = Prod(S - e(i)) = 0.

This will give you the equations S - e(i) = 0, or more complete: (S - 
e(i))(x(n)) = S(x(n)) - e(i)*x(n) = x(n+1) - e(i)*x(n) = 0, which have 
the solutions x(n) = x(0)*e(i)^n.

The general solution to this difference equation will then be a linear 
combination of these solutions, such as:

x(n) = Sum(k(i)*e(i)^n), where k(i) are arbitrary constants.

To get the integer solutions you can then build the eigenfunctions:

x(j,n) = Sum(k(i,j)*e(i)^n) = delta(j,n), for n  the grade of the 
difference equation.

With the S-operator it is then very easy to define the difference- or 
derivation-operator D as:

D = S-1, so D(x(n)) = x(n+1) - x(n).

What do you think, is this a good starting point for handling the 
mathematics of the discrete space-time?

-- 
Torgny Tholerus

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