Exploring Non-Commutative Natural Numbers

In summary, Standard Math does not understand the concept of a number, and so numbers cannot be defined in terms of these structures.
  • #106
Hurkyl,

You still don't understand me, so I'll try again.

You used this information structure:

Code:
    .
   / \
  .   .
 / \ / \
.  ..   .
This is a general information form and you used it by put your notations on it.

We can use this structure for infinitely many other purposes.

My system define the ordered universe of these information forms, and then
we can use them, but this time we can find the deep relations between them
Because thet are ordered, by my method.
 
Last edited:
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  • #107
So, it seems your theory is not about +, *, or natural numbers; it is about binary trees.


I'm still puzzled about why some things are in your ETtable and others aren't. e.g. Why are these different:

Code:
| |
+-+--
|


| |
+-+
|

and why don't you have one like:

Code:
| | |
+-+ |
|   |
+---+---
|
|

?


P.S. the '+' symbols are diagrammatic; I don't mean for them to be labels or placeholders or anything.
 
Last edited:
  • #108
By the way, you used the wrong information form, instead you have to use:

Code:
          b  b      
          #  #              
   {a, b, a, a}   
    .  .  .  .       
    |  |  |  |     
    |__|  |__|_ 
    |+    |*        
    |     |         
    |     |         
    |_____|____
    |   *                  
    {{{x},x},{x,x}} 
 
          b  b      
          #  #              
   {a, b, a, a}   
    .  .  .  .       
    |  |  |  |     
    |__|  |__|_ 
    |+    |*        
    |     |         
    |     |         
    |_____|____
    |   +                  
    {{{x},x},{x,x}}
and why don't you have one like:

Code:
| | |
+-+ |
|   |
+---+---
|
|
See by yourself:
Code:
[b]1[/b]
(+1) = {1}

[b]2[/b]
(1*2)    = {1,1}
((+1)+1) = {{1},1}

[b]3[/b]
(1*3)        = {1,1,1}
((1*2)+1)    = {{1,1},1}
(((+1)+1)+1) = {{{1},1},1}

[b]4[/b]
(1*4)               = {1,1,1,1} <------------- Maximum symmetry-degree, 
((1*2)+1*2)         = {{1,1},1,1}              Minimum information's 
(((+1)+1)+1*2)      = {{{1},1},1,1}            clarity-degree
((1*2)+(1*2))       = {{1,1},{1,1}}            (no uniqueness) 
(((+1)+1)+(1*2))    = {{{1},1},{1,1}}
(((+1)+1)+((+1)+1)) = {{{1},1},{{1},1}}
((1*3)+1)           = {{1,1,1},1}
(((1*2)+1)+1)       = {{{1,1},1},1}
((((+1)+1)+1)+1)    = {{{{1},1},1},1} <------ Minimum symmetry-degree,
                                              Maximum information's  
                                              clarity-degree                                            
                                              (uniqueness)
[b]5[/b]
...
 
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  • #109
So, it seems your theory is not about +, *, or natural numbers; it is about binary trees.

1) It is about the information forms that existing between the integral side and the differential side of any given natural number (in the first stage).

2) Binary trees are private cases in my universe.
 
  • #110
Code:
| | |
+-+ |
|   |
+---+---
|
|

is not an ETtree. Please see for yourself:

http://www.geocities.com/complementarytheory/ETtable.pdf




1) It is about the information forms that existing between the integral side and the differential side of any given natural number (in the first stage).

2) Binary trees are private cases in my universe.

But you said:



You used this information structure:

Code:
    .
   / \
  .   .
 / \ / \
.  ..   .

This is a general information form and you used it by put your notations on it.

We can use this structure for infinitely many other purposes.

My system define the ordered universe of these information forms, and then
we can use them, but this time we can find the deep relations between them
Because thet are ordered, by my method.
 
  • #111
Organic said:
http://www.physlink.com/Education/AskExperts/ae329.cfm

Schrodinger's Equation is based on a wave picture of QM.

Yes, thank you. I know what Schrodinger's Equation is.

Organic said:
My new nutural numbers are like w...ogen atom with your numbers? cookiemonster
 
  • #112
Hi cookiemonster,

At this stage my system is a "pure" mathematical system.

If you understand the ordered redundancy_AND_uncertainty information forms model, then please use its products by yourself.
 
  • #113
So, at this instance in time but maybe or maybe not at some instance in the future, your numbers are 100% useless?

Good enough for me. Good day!

cookiemonster
 
  • #114
So, at this instance in time but maybe or maybe not at some instance in the future, your numbers are 100% useless?
By your current understending of my system, the answer yes.
 
  • #115
"By my current understanding"? I have no understanding of your system. You have given me no reason to attempt to understand your system. I'm not against trying to understand your system if there is a reason, but you, the expert on and promoter of your system, have yet to provide one.

cookiemonster
 
  • #116
cookiemonster,

My system is an ordered collection of infinitely many information forms that are ordered by their clarity degrees.

Shortly speaking, we have a Mendeleyev-like table of ordered information forms.

If we use these information forms as pert of our system, we get two benefits:

1) Local benefit: We have a concrete model of information form that we can research.

2) Global benefit: Because this information form belongs to an ordered universe, we can find the deep relations with another systems that are using these information forms as an "organic" part of them.
 
  • #117
Organic said:
My system is an ordered collection of infinitely many information forms that are ordered by their clarity degrees.

That's nice.

Organic said:
Shortly speaking, we have a Mendeleyev-like table of ordered information forms.

Again, that's nice.

Organic said:
If we use these information forms as pert of our system, we get two benefits:

Now we're getting somewhere.

Organic said:
1) Local benefit: We have a concrete model of information form that we can research.

A "model of information," huh. Really. "That we can research." Great, so I can figure out how many i's are in "information." Or maybe how many syllables are required to say "concrete."

A model of what kind of information? A model from which I can research what kind of knowledge? What kind of uses are we looking at? Your entire sentence is so cryptic and imprecise that it has no information.

Organic said:
2) Global benefit: Because this information form belongs to an ordered universe, we can find the deep relations with another systems that are using these information forms as an "organic" part of them.

"This information form." You still haven't mentioned what information form "this" is.

"An ordered universe." I don't believe our universe is perfectly ordered, and I'd wager that Quantum Theory agrees with me. Even when I scanned your webpage, I saw lots of mention of uncertainty.

"Deep relations." What?

"Another systems." Such as?

"'Organic' part of them." What?

What do these two reasons mean? Are they even saying anything? I mean, I'm not hard to fool here. I'm relatively uneducated in general and particularly unversed in your theory in specific. You could probably make something up that sounds good, is on the surface consistent, and makes sense and I'd buy it. But all you've said so far is that your system should be investigated "because it has things that should be investigated," which is hardly convincing.

Have you even arrived at any results, or have you been too busy drawing little diagrams? There's not much that's more convincing than results. If it works and I don't know why, then I'm relatively inclined to figure out why it does. But all your system is doing is sitting there doing nothing but stirring up matt and hijacking threads, and I don't know why, and I have no inclination to figure out why.

What's its purpose? What are you trying to accomplish with this? Are you striving toward some kind of goal? Have you gotten anywhere near that? Does your system satisfy that goal? If so, can we see this?

And for the third time, can you take any physical model of reality that has proven to be only an approximation, apply your numbers to it, and yield another physical model of reality that is a better approximation?

cookiemonster
 
  • #118
Perhaps you would care to draw a "redundancy / uncertainty" diagram for (5, 10)?


Why does "redundancy / uncertainty" never look like:

Code:
M  R  D
D  M  R

?

And what about ((1*3)*(1+1))?
 
  • #119
Hurkyl,

My system is very accurate, and I show examples of it.

Plrease show me how can you define ((1*3)*(1+1)) when in my system

(1*3) means {1,1,1} and (1+1) means {{1},1}

Why does "redundancy / uncertainty" never look like:
Code:
M  R  D
D  M  R
Please give an example by using the lows of my system.



Here is again examples of my system, and this time try to understand my game:


Let # be XOR

My system is an ordered collection of redundancy_AND_uncertainy information forms.

See by yourself:
Code:
[b]1[/b]
(+1) = {1}

[b]2[/b]
(1*2)    = {1,1}
((+1)+1) = {{1},1}

[b]3[/b]
(1*3)        = {1,1,1}
((1*2)+1)    = {{1,1},1}
(((+1)+1)+1) = {{{1},1},1}

[b]4[/b]
(1*4)               = {1,1,1,1} <------------- Maximum symmetry-degree, 
((1*2)+1*2)         = {{1,1},1,1}              Minimum information's 
(((+1)+1)+1*2)      = {{{1},1},1,1}            clarity-degree
((1*2)+(1*2))       = {{1,1},{1,1}}            (no uniqueness) 
(((+1)+1)+(1*2))    = {{{1},1},{1,1}}
(((+1)+1)+((+1)+1)) = {{{1},1},{{1},1}}
((1*3)+1)           = {{1,1,1},1}
(((1*2)+1)+1)       = {{{1,1},1},1}
((((+1)+1)+1)+1)    = {{{{1},1},1},1} <------ Minimum symmetry-degree,
                                              Maximum information's  
                                              clarity-degree                                            
                                              (uniqueness)
[b]5[/b]
...
also I showed that you used the wrong information form:
Code:
    b  b  b  b      
    #  #  #  #              
   {a, a, a, a}   
    .  .  .  .       
    |  |  |  |     
    |__|_ |__|_ 
    |     |         
    |     |         
    |     |         
    |_____|____
    |                      
    {{x,x},{x,x}}
instead you have to use:
Code:
          b  b      
          #  #              
   {a, b, a, a}   
    .  .  .  .       
    |  |  |  |     
    |__|  |__|_ 
    |+    |*        
    |     |         
    |     |         
    |_____|____
    |   *                  
    {{{x},x},{x,x}} 
 
          b  b      
          #  #              
   {a, b, a, a}   
    .  .  .  .       
    |  |  |  |     
    |__|  |__|_ 
    |+    |*        
    |     |         
    |     |         
    |_____|____
    |   +                  
    {{{x},x},{x,x}}
Each part of the graphic representation of it has an exact meaning, for example:
Code:
CR is Computational Root.

[u]A general graphic description of a CR[/u]

CD is Continuum AND Discreteness

RU is Rudandancy_AND_Uncertainty

AL is Association-Level

     .     .     .<------ D (Discreteness)
     |     |     |
     |     |     |
     |     |     |<------ The association between CD
     |     |     |
     |     |     |
     |_____|_____|__<---- RU marker
     |  ^
     |   \____ C (Continuum)
     |
     |<---- Next-AL marker

[url]http://www.geocities.com/complementarytheory/CATheory.pdf[/url] (page 7 - Indroduction (in the paper, not in the acrobat screen)).
You asked:
and why don't you have one like:

Code:
| | |
+-+ |
|   |
+---+---
|
|
My answer is:

If you use my system you have to follow my definitions, otherwise we are not talking about my system.

This form:
Code:
| | |
+-+ |
|   |
+---+---
|
|
has no meaning in my system.

For example let us say that there is a piano with 3 notes and we call it 3-system:

DO=D , RE=R , MI=M

The highest unclear information of 3-system is the most left information's-tree, where each key has no unique value of its own, and vice versa:
Code:
<-Redundancy->
    M   M   M  ^<----Uncertainty
    R   R   R  |    R   R
    D   D   D  |    D   D   M       D   R   M
    .   .   .  v    .   .   .       .   .   .
    |   |   |       |   |   |       |   |   |
3 = |   |   |       |___|_  |       |___|   |
    |   |   |       |       |       |       |
    |___|___|_      |_______|       |_______|
    |               |               |
 
  • #120
Organic said:
Hurkyl,
My system is very accurate, and I show examples of it.
Plrease show me how can you define ((1*3)*(1+1)) when in my system
(1*3) means {1,1,1} and (1+1) means {{1},1}
Please give an example by using the lows of my system.

lows? Perhaps you are self aware after all.

Here is again examples of my system, and this time try to understand my game:

we can't because you won't explain what your "game" is or does.

This form:
Code:
| | |
+-+ |
|   |
+---+---
|
|
has no meaning in my system.

What, and the other things you write do mean something?
 
  • #121
Organic, are you proposing an advanced system of information science?
If so, OK, we're listening.
May I suggest that you take the admittedly difficult time to show validation and usefulness. That is, could you show a concrete example where your system is superior than the one(s) currently used. A side-by-side definitive comparison would be helpful, and indeed essential.
 
  • #122
Hi pallidin,

First, thank you very much for your positive attitude.

I have learned during the last year that my simple idea about the ordered universe of information forms, which can help us to define the deep connections between, so called, different systems, cannot easily be understood by professional "pure" mathematicians.

Maybe at this point I have to think about applied mathematics, but I need help for my first steps.

Please first, read this paper of mine:

http://www.geocities.com/complementarytheory/Complex.pdf

Thank you,

Organic
 
  • #123
So are you saying that you have yet to find a concrete use for your numbers and need help finding one?

cookiemonster
 
  • #124
Plrease show me how can you define ((1*3)*(1+1)) when in my system

I have no clue how to define anything in your system.

It's easy enough to define it in ordinary mathematics, though.


Please give an example by using the lows of my system.

An example of what?
 
  • #125
So are you saying that you have yet to find a concrete use for your numbers and need help finding one?
Yes, I need your help.
 
  • #126
I decided to check your score on the crackpot index. I'm doing this from memory of your posts. You can check this through jon baez's website. you score amazingly.

1 point for every statement that is widely agreed to be false (well, I reckon we'll go for 3 being generous) 3 points per statement that is logically inconsistent (you're scoring quite highly in the maths forum at the moment) then there's lots of intermediate ones but the peach has to be the end ones where you sail into the lead:

10 points for arguing that while a current well-established theory predicts phenomena correctly, it doesn't explain "why" they occur, or fails to provide a "mechanism".

10 points for each statement along the lines of "I'm not good at math, but my theory is conceptually right, so all I need is for someone to express it in terms of equations".

10 points for each new term you invent and use without properly defining it. (and let's face it this puts you off the scale)

10 points for claiming that your work is on the cutting edge of a "paradigm shift".

40 points for claiming that the "scientific establishment" is engaged in a "conspiracy" to prevent your work from gaining its well-deserved fame, or suchlike. (this one's arguable but I left out the one about saying how long you'd been working on the theory)

# 40 points for claiming that when your theory is finally appreciated, present-day science will be seen for the sham it truly is. (30 more points for fantasizing about show trials in which scientists who mocked your theories will be forced to recant.)

# 50 points for claiming you have a revolutionary theory but giving no concrete testable predictions.

those last two.. well I've not seen anyone take both of those awards before.
 
  • #127
Matt,

And what you haveto say about that?:

If we use again the example of transformations between multisetes and "normal" sets, we can see that the internal structure of n+1 > 1 ordered forms, constructed by using all previous n > 1 forms:
Code:
[b]1[/b]
(+1) = [COLOR=Black]{1}[/COLOR]

[COLOR=Blue][b]2[/b][/COLOR]
(1*2)    = [COLOR=Blue]{1,1}[/COLOR]
((+1)+1) = [COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR]

[COLOR=DarkGreen][b]3[/b][/COLOR]
(1*3)        = [COLOR=Darkgreen]{1,1,1}[/COLOR]
((1*2)+1)    = [COLOR=Darkgreen]{[COLOR=Blue]{1,1}[/COLOR],1}[/COLOR]
(((+1)+1)+1) = [COLOR=Darkgreen]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],1}[/COLOR]

[COLOR=Magenta][b]4[/b][/COLOR]
(1*4)               = [COLOR=Magenta]{1,1,1,1}[/COLOR] <------------- Maximum symmetry-degree, 
((1*2)+1*2)         = [COLOR=Magenta]{[COLOR=Blue]{1,1}[/COLOR],1,1}[/COLOR]              Minimum information's 
(((+1)+1)+1*2)      = [COLOR=Magenta]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],1,1}[/COLOR]            clarity-degree
((1*2)+(1*2))       = [COLOR=Magenta]{[COLOR=Blue]{1,1}[/COLOR],[COLOR=Blue]{1,1}[/COLOR]}[/COLOR]            (no uniqueness) 
(((+1)+1)+(1*2))    = [COLOR=Magenta]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],[COLOR=Blue]{1,1}[/COLOR]}[/COLOR]
(((+1)+1)+((+1)+1)) = [COLOR=Magenta]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR]}[/COLOR]
((1*3)+1)           = [COLOR=Magenta]{[COLOR=Darkgreen]{1,1,1}[/COLOR],1}[/COLOR]
(((1*2)+1)+1)       = [COLOR=Magenta]{[COLOR=Darkgreen]{[COLOR=Blue]{1,1}[/COLOR],1}[/COLOR],1}[/COLOR]
((((+1)+1)+1)+1)    = [COLOR=Magenta]{[COLOR=Darkgreen]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],1}[/COLOR],1}[/COLOR] <------ Minimum symmetry-degree,
                                              Maximum information's  
                                              clarity-degree                                            
                                              (uniqueness)
[COLOR=Red][b]5[/b][/COLOR]
[COLOR=Red]...[/COLOR]
 
  • #128
Dear Hurkyl,

I want to correct my previous answers to your questions.

Standard Math using only the 0_redunduncy_AND_0_uncertainty information forms.

For example, the information form, which is used in ((1*3)*(1+1)) is:
Code:
    a  b
    .  .        
    |  |      
    |__| 
    |
and when this building-block repeating within itself in two level, we get:
Code:
    1  3  1  1   
    .  .  .  .       
    |  |  |  |     
    |__|  |__| 
    |*    |+        =      ((1*3)*(1+1))   
    |     |         
    |     |         
    |_____|
    |  * 
    |

So, as you can see, my system is a first-order system of information forms, which existing within any given n.

Shortly speaking, first we define the information forms building-blocks, for example:

http://www.geocities.com/complementarytheory/ETtable.pdf

and only then we can use these building-blocks to construct our model.

Standard Math using only the last form of each collection that existing within any given n, for example:
Code:
      [b]0[/b]
      [b].[/b]
1 =   [b]|    
      *[/b]


    1   1
    0   0     [b]0   1[/b]
    .   .     [b].   .[/b]
    |   |     [b]|   |[/b]
2 = |___|_    [b]|___|[/b]
    |         [b]| *[/b]


    2   2   2
    1   1   1       1   1
    0   0   0       0   0   2       [b]0   1   2[/b]
    .   .   .       .   .   .       [b].   .   .[/b]
    |   |   |       |   |   |       [b]|   |   |[/b]
3 = |   |   |       |___|_  |       [b]|___|   |[/b]
    |   |   |       |       |       [b]|       |[/b]
    |___|___|_      |_______|       [b]|_______|[/b]
    |               |               [b]|   *[/b]

    
    -------------->>>
    3  3  3  3           3  3           3  3
    2  2  2  2           2  2           2  2
    1  1  1  1     1  1  1  1           1  1     1  1  1  1           1  1
    0  0  0  0     0  0  0  0     0  1  0  0     0  0  0  0     0  1  0  0
    .  .  .  .     .  .  .  .     .  .  .  .     .  .  .  .     .  .  .  .
    |  |  |  |     |  |  |  |     |  |  |  |     |  |  |  |     |  |  |  |
    |  |  |  |     |__|_ |  |     |__|  |  |     |__|_ |__|_    |__|  |__|_
    |  |  |  |     |     |  |     |     |  |     |     |        |     |
    |  |  |  |     |     |  |     |     |  |     |     |        |     |
    |  |  |  |     |     |  |     |     |  |     |     |        |     |
    |__|__|__|_    |_____|__|_    |_____|__|_    |_____|____    |_____|____
    |              |              |              |              |
 
4 =                2  2  2
                   1  1  1        1  1
    0  1  0  1     0  0  0  3     0  0  2  3     [b]0  1  2  3[/b]
    .  .  .  .     .  .  .  .     .  .  .  .     [b].  .  .  .[/b]
    |  |  |  |     |  |  |  |     |  |  |  |     [b]|  |  |  |[/b]
    |__|  |__|     |  |  |  |     |__|_ |  |     [b]|__|  |  |[/b]
    |     |        |  |  |  |     |     |  |     [b]|     |  |[/b]
    |     |        |__|__|_ |     |_____|  |     [b]|_____|  |[/b]
    |     |        |        |     |        |     [b]|        |[/b]
    |_____|____    |________|     |________|     [b]|________|[/b]
    |              |              |              [b]|   *[/b]
The bold forms that notated by * are number system representations, based on Peano axioms (Standard Math information forms).

All the other first-order information forms, are new forms, which are not used (yet) by Standard Math language as building-blocks of natural numbers.


Why does "redundancy / uncertainty" never look like:
Code:
    M   R   D    
    D   M   R    
    .   .   .      
    |   |   |     
    |   |   |     
    |   |   |     
    |___|___|_   
    |
A complete state of Redundancy_AND_uncertainty within quantity 3 cannot be less then 3 different possibilities for each discrete element.

If we use again the example of transformations between multisetes and "normal" sets, we can see that the internal structure of n+1 > 1 ordered forms, constructed by using all previous n > 1 forms:
Code:
[b]1[/b]
(+1) = [COLOR=Black]{1}[/COLOR]

[COLOR=Blue][b]2[/b][/COLOR]
(1*2)    = [COLOR=Blue]{1,1}[/COLOR]
((+1)+1) = [COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR]

[COLOR=DarkGreen][b]3[/b][/COLOR]
(1*3)        = [COLOR=Darkgreen]{1,1,1}[/COLOR]
((1*2)+1)    = [COLOR=Darkgreen]{[COLOR=Blue]{1,1}[/COLOR],1}[/COLOR]
(((+1)+1)+1) = [COLOR=Darkgreen]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],1}[/COLOR]

[COLOR=Magenta][b]4[/b][/COLOR]
(1*4)               = [COLOR=Magenta]{1,1,1,1}[/COLOR] <------------- Maximum symmetry-degree, 
((1*2)+1*2)         = [COLOR=Magenta]{[COLOR=Blue]{1,1}[/COLOR],1,1}[/COLOR]              Minimum information's 
(((+1)+1)+1*2)      = [COLOR=Magenta]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],1,1}[/COLOR]            clarity-degree
((1*2)+(1*2))       = [COLOR=Magenta]{[COLOR=Blue]{1,1}[/COLOR],[COLOR=Blue]{1,1}[/COLOR]}[/COLOR]            (no uniqueness) 
(((+1)+1)+(1*2))    = [COLOR=Magenta]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],[COLOR=Blue]{1,1}[/COLOR]}[/COLOR]
(((+1)+1)+((+1)+1)) = [COLOR=Magenta]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR]}[/COLOR]
((1*3)+1)           = [COLOR=Magenta]{[COLOR=Darkgreen]{1,1,1}[/COLOR],1}[/COLOR]
(((1*2)+1)+1)       = [COLOR=Magenta]{[COLOR=Darkgreen]{[COLOR=Blue]{1,1}[/COLOR],1}[/COLOR],1}[/COLOR]
((((+1)+1)+1)+1)    = [COLOR=Magenta]{[COLOR=Darkgreen]{[COLOR=Blue]{[COLOR=Black]{1}[/COLOR],1}[/COLOR],1}[/COLOR],1}[/COLOR] <------ Minimum symmetry-degree,
                                              Maximum information's  
                                              clarity-degree                                            
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<h2>1. What are non-commutative natural numbers?</h2><p>Non-commutative natural numbers are numbers that do not follow the commutative property of addition, which states that the order in which two numbers are added does not affect the result. In other words, the sum of two non-commutative natural numbers will depend on the order in which they are added.</p><h2>2. Why is it important to explore non-commutative natural numbers?</h2><p>Exploring non-commutative natural numbers can help us better understand the properties and behavior of numbers. It can also lead to new mathematical discoveries and applications in fields such as cryptography and computer science.</p><h2>3. How are non-commutative natural numbers different from regular natural numbers?</h2><p>Non-commutative natural numbers differ from regular natural numbers in that they do not follow the commutative property of addition. Regular natural numbers, also known as commutative numbers, will always result in the same sum regardless of the order in which they are added.</p><h2>4. Can non-commutative natural numbers be used in everyday calculations?</h2><p>Yes, non-commutative natural numbers can be used in everyday calculations, but they are not as commonly used as regular natural numbers. They may be used in specialized fields, such as abstract algebra, where the commutative property is not assumed.</p><h2>5. Are there any real-life examples of non-commutative natural numbers?</h2><p>One example of non-commutative natural numbers is the operation of matrix multiplication. The order in which two matrices are multiplied can affect the result, making it a non-commutative operation. This concept is also used in quantum mechanics, where the order of operations can affect the outcome of an experiment.</p>

1. What are non-commutative natural numbers?

Non-commutative natural numbers are numbers that do not follow the commutative property of addition, which states that the order in which two numbers are added does not affect the result. In other words, the sum of two non-commutative natural numbers will depend on the order in which they are added.

2. Why is it important to explore non-commutative natural numbers?

Exploring non-commutative natural numbers can help us better understand the properties and behavior of numbers. It can also lead to new mathematical discoveries and applications in fields such as cryptography and computer science.

3. How are non-commutative natural numbers different from regular natural numbers?

Non-commutative natural numbers differ from regular natural numbers in that they do not follow the commutative property of addition. Regular natural numbers, also known as commutative numbers, will always result in the same sum regardless of the order in which they are added.

4. Can non-commutative natural numbers be used in everyday calculations?

Yes, non-commutative natural numbers can be used in everyday calculations, but they are not as commonly used as regular natural numbers. They may be used in specialized fields, such as abstract algebra, where the commutative property is not assumed.

5. Are there any real-life examples of non-commutative natural numbers?

One example of non-commutative natural numbers is the operation of matrix multiplication. The order in which two matrices are multiplied can affect the result, making it a non-commutative operation. This concept is also used in quantum mechanics, where the order of operations can affect the outcome of an experiment.

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