Hi everyone,
Hope all is well. Please see the mathematical exercise below.
Title:
“Number of possible end states in a community of n individuals, where uninformed individuals adopt the state of the first informed or misinformed person they meet, and each individual interacts at most once.”
Description:
In a certain community, there are three types of people: informed (i), misinformed (m), and uninformed (u).
The possible interactions are defined as follows:
Each person in the community can participate in only one interaction. In a community of population n, how many distinct end state variations are possible?
Examples:
I would really appreciate it if you could tell me if this sequence is suitable for the OEIS.
Best,
Ali
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Thank you, Jon, Martin, and Michael, for your response. I really appreciate them.
Jon, you’re right. My initial description left some ambiguity about how the pairings occur. The uninformed people seek knowledge. So, they would pair with someone with information (good or bad) when they have the chance. They don’t interact with each other. So, an end state like {i,m,u,u} cannot happen because if it was a start state the u’s will seek knowledge from the i and the m and this will end up {i,i,m,m}. And it can't be an end state because {i,u,u,u}à{i,i,u,u} and {m,u,u,u}à{m,m,u,u}.
And I sincerely apologize for not responding to your abstract model. I have a kind of ADHD and it’s very difficult for me to understand abstract math statements. Would what I said above change the model?
Martin, I don’t know if this is within the literature. It’s just a math practice from a non-expert. According to ChatGPT, “It’s more of a combinatorial toy model inspired by limited-contact information spread” and “All pairings happen simultaneously (not sequentially)”.
Michael, do you think it’s worth a new sequence? Or should we add it, with Jon’s model, to A165157?
Best,
Ali
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Ali,I am getting this is 3, 4, 7, 8, 12, 13, 18, 19, 25, ..., or your a(n) = A165157(n+1).
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Hi everyone,
Let x be the number of u’s in each start state, and S=int((n-1)/2).
We have four categories of start states:
a) x=n, this is an end state since no interaction happens.
b) x=0. This will give us n+1 start states, all of them are also end states.
c) x<S. Here all the start states end up in category b, so no new end state happens.
d) x>=S. Here the start states have a number of u's between n-1 and S.
(n-1) u's gives 2 new end states, (n-2) u's gives us 3 new end states, and so on, up to S u's which gives us S+1 end states. So, the number of new end states will be T(S+1)-1.
So, the final number of options will be n+1+T(S+1). Which is A165157(n+1). So, maybe we can add a comment to A165157, and submit a new sequence for the other version?
Best,
Ali
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Hi everyone,
Let x be the number of u’s in each start state, and S=int((n-1)/2).
We have four categories of start states:
a) x=n, this is an end state since no interaction happens.
b) x=0. This will give us n+1 start states, all of them are also end states.
c) x<S. Here all the start states end up in category b, so no new end state happens.
d) x>=S. Here the start states have a number of u's between n-1 and S.
(n-1) u's gives 2 new end states, (n-2) u's gives us 3 new end states, and so on, up to S u's which gives us S+1 end states. So, the number of new end states will be T(S+1)-1.
So, the final number of options will be n+1+T(S+1). Which is A165157(n+1). So, maybe we can add a comment to A165157, and submit a new sequence for the other version?
"a(n+1) counts the number of distinct end states in a one-interaction knowledge model. In a community of n people, each person is either informed (i), misinformed (m), or uninformed (u). Uninformed individuals must interact when possible, adopting the state of the first informed or misinformed person they meet: u + i → 2i, u + m → 2m. Every person can interact at most once."
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