I Are These Rules new Conjectures in Set Theory?

AI Thread Summary
The discussion centers on two proposed rules in set theory regarding subsets and their sums. Rule 1, which utilizes the binomial coefficient to determine the number of subsets with a specific number of members, is acknowledged as well-known and not a new conjecture. Rule 2 suggests a relationship between the total sums of two sets, A and B, stating that the ratio of their sums equals 2 raised to the power of (n-1), where n is the number of elements in set A. However, this rule is debated, with some participants asserting it lacks clarity and is not universally applicable, while others argue it is a consequence of established principles in combinatorics. Overall, the rules are scrutinized for their originality and clarity within the context of set theory and combinatorics.
  • #51
Gh. Soleimani said:
7. Let consider “A1” as set of Arithmetic Progression where:

d = 1, a1 = 1 and an = a1 + (n - 1) d, n = 1, 2, 3,…..

In this case, we have:

A1 = {a1, (a1+1), (a2 +1),……. (a1 + (n - 1) d)}
Why does the last term have a factor of d? Above you set d to 1, so it is just extra baggage here that is likely to confuse someone who isn't reading carefully.

Also, the above doesn't make sense to me. Your set includes ##a_1, a_1 + 1##, and then ##a_2 + 1##, which of course is equal to ##a_1 + 2##. Presumably the next term, according to your scheme, would be ##a_3 + 1##, but for your last term you revert to ##a_1 + (n - 1)d##, with d being unnecessary.

With the parameters you chose, your set is ##A_1 = {1, 2, 3, \dots, n - 1}##.

Gh. Soleimani said:
One of permutations of set A1 is to invert members of set A1 as follows:

A2 = {(a1 + (n - 1) d),….,(a2 +1), (a1+1), a1}
Again, what is the purpose of including d?
Gh. Soleimani said:
We can generate many sets which are the periodicity of set A1 just like below cited:

A3 = {a1, (a1+1), (a2 +1),……. (a1 + (n - 1) d)}
How is this different from ##A_1##?
Gh. Soleimani said:
A4 = {(a1 + (n - 1) d),….,(a2 +1), (a1+1), a1}
How is this different from ##A_2##?
Gh. Soleimani said:
Finally, we will have set B:

B = {A1, A2, A3, A4, …….An}
 
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  • #52
8. Let consider set “A” as follows:A = {x | x ϵ R}

Rule 10: Each type square matrix which has been generated from set “A” just like below matrix:

a1 0 0 0 0 0 0 0 0….

a1 a2 0 0 0 0 0 0…..

a1 a2 a3 0 0 0 0 0 ….

a1 a2 a3 a4 0 0 0 0……

It will show us the eigenvalues which are just equal members set A which have been included in this square matrix (λ = a1, a2, a3, a4, …)

Example:

A = {0.67, 2, 43, 5, -23, 9, -2.3}

Assume we have set B which is a subset of A:

B = {43, -23, -2.3, 9)

Matrix N will be:

43 0 0 0 0

43 -23 0 0

43 -23 -2.3 0

43 -23 -2.3 9

Eigenvalues of Matrix N are: λ = 43, -23, -2.3, 9
 
  • #53
Mark44 said:
n−1
Last member is equal:
a1 + (n - 1)d
a1 = 1 , d = 1 then it will be equal n
 
  • #54
Mark44 said:
Again, what is the purpose of including d?
It is the last member of A1
 
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  • #55
Mark44 said:
How is this different from A 1 A_1?
We can generate many sets which are the periodicity of set A1
 
  • #56
Gh. Soleimani said:
Last member is equal:
a1 + (n - 1)d
a1 = 1 , d = 1 then it will be equal n
If you're referring to (n - 1)d, no, that is not equal to n. If d = 1, then ##(n - 1)d = n - 1 \ne n##.
Mark44 said:
Again, what is the purpose of including d?
Gh. Soleimani said:
It is the last member of A1
That didn't answer my question. If d = 1, why do you write it as a factor?
Mark44 said:
How is this different from ##A_1##?
Gh. Soleimani said:
We can generate many sets which are the periodicity of set A1
But so what?
You aren't explaining your work very well.
 
  • #57
Gh. Soleimani said:
8. Let consider set “A” as follows:A = {x | x ϵ R}
Or more simply, ##A = \mathbb{R}##.
Gh. Soleimani said:
Rule 10: Each type square matrix which has been generated from set “A” just like below matrix:

a1 0 0 0 0 0 0 0 0….

a1 a2 0 0 0 0 0 0…..

a1 a2 a3 0 0 0 0 0 ….

a1 a2 a3 a4 0 0 0 0……

It will show us the eigenvalues which are just equal members set A which have been included in this square matrix (λ = a1, a2, a3, a4, …)
You need to define what A is, and redefine what ##a_1, a_2,## etc. are.
A reader shouldn't have to search back through this thread to figure out what these things mean.
Gh. Soleimani said:
Example:

A = {0.67, 2, 43, 5, -23, 9, -2.3}

Assume we have set B which is a subset of A:

B = {43, -23, -2.3, 9)

Matrix N will be:

43 0 0 0 0

43 -23 0 0

43 -23 -2.3 0

43 -23 -2.3 9

Eigenvalues of Matrix N are: λ = 43, -23, -2.3, 9
Without proof, all you have are merely assertions.
 
  • #58
Since explanations of the questions I have asked don't seem to be forthcoming, I am closing this thread for moderation.

Edit: it will stay closed
 
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