How Many People Were at the Party with Unique Acquaintances?

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SUMMARY

The problem discussed involves determining the number of people at a party where each person knows exactly 22 others, and specific acquaintance conditions apply. The conclusion reached by participants is that there are 100 people at the party. This was derived using a combination of logical reasoning and linear algebra, specifically through the construction of a symmetric matrix A to represent acquaintances and its squared form B to analyze connections. The relationships defined in the problem led to the equation 22^2 = 22 + 6(n-23), confirming that n equals 100.

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  • Understanding of graph theory concepts, particularly acquaintance graphs.
  • Familiarity with linear algebra, including matrix operations and eigenvalues.
  • Knowledge of symmetric matrices and their properties.
  • Basic comprehension of Ramsey theory, as it relates to acquaintance problems.
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  • Study the properties of symmetric matrices in graph theory.
  • Learn about eigenvalues and eigenvectors in linear algebra.
  • Explore Ramsey theory and its applications in combinatorial problems.
  • Investigate the use of adjacency matrices in social network analysis.
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Mathematicians, computer scientists, and anyone interested in graph theory or social network analysis will benefit from this discussion, particularly those looking to solve complex acquaintance problems.

rock.freak667
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this is how I was told

At a party, each person knows exactly 22 others. For any pair of people (X & Y) who knew one another, there was no other person at the party that they both knew.

For any pair of people, X and Y, who did not know one another, there were
exactly 6 other people that they both knew.

How many people were at the party?


How does one start this?
 
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Curses, you've infected me with this now too! :smile:

I'm not sure how to solve it, but here's a thought.

Say there are N people.
Pick a person X. X knows 22 people and doesn't know M people.
Note that M+22+1=N.
Let's call the group of people X knows A (having 22 members), and the group of people X doesn't know B (it has M people).
Each member of A must know 22 people himself. However, the members of A can't know each other because of assumption #2 in your post. Hence each person in A knows X, plus 21 other people in B. This means there are "21*22 connections" going from A to B.
Similarly, each person in B must know 6 people in A (because of assumption #1). That is a total of "6*M connections".

It seems to me the number of outgoing connections from M must equal the number of incoming connections, so 6*M = 21*22, yielding M=77, so

N = 1+22+M = 23+77 = 100.

Does this make sense? (Do you have the solution?)

-----
Assaf
http://www.physicallyincorrect.com"
 
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ozymandias said:
Does this make sense? (Do you have the solution?)

Sorry, I don't have the answer...I didn't even know how to begin to solve this :frown:
 
Argh, the suspense ... can you ask the person who gave you this question? I've got to know the answer! :smile:

I've tried googling the problem but all I could find is Ramsey theory, which is definitely not what we're looking at.


-----
Assaf
http://www.physicallyincorrect.com"
 
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This looks quite straight forward but when I tried working this out I ended up with a paper full of calculations that don't make sense lol .if you get the answer please i would like to know
 
the person who gave it to me doesn't know the answer. But he got 84.
 
oh ok ill try and see if me and my friends can work it out.
 
@RockFreak,

What was your friend's reasoning?


-----
Assaf
http://www.physicallyincorrect.com"
 
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there was no one at the party of course!
 
  • #10
How are you so sure about that and how did you work that out?
 
  • #11
lol. suppose no one was at the party. then all of the hypothesis hold vacuously. i don't claim that this is a unique solution, and most likely not the intended one.
 
  • #12
100 is correct. Here is another way to do it. Say there are n people. Invent a matrix A to describe knowing each other. Write a_{ij} for the entry in row i column j of matrix A. Define A as follows: a_{ii} = 0; for i and j different, if i knows j, then a_{ij} = 1; if i does not know j, then a_{ij} = 0. Note A is symmetric. Let B = A^2 be the matrix multiplied by itself. Let u be the column vector of all 1s.

(1) "each person knows exactly 22 others" ... this translates to Au = 22u ... in linear algebra language, 22 is an eigenvalue of A, with eigenvector u . As a consequence, 22^2 is an eigenvalue of B, also with eigenvector u.

(2) "For any pair of people who knew one another, there was no other person at the party that they both knew." ... this translates to: if i and j are different indices, and if a_{ij} = 1, then b_{ij} = 0. That is by the rule for multiplying matrices.

(3) "For any pair of people who did not know one another, there were
exactly 6 other people that they both knew." ... this translates to: if i and j are different indices, and if a_{ij} = 0, then b_{ij} = 6.

(1') From (1) note that b_{ii} = 22.

So in the matrix B, each row has:
1 entry equal to 22
22 entries equal to 0
n-23 entries equal to 6
So Bu = (22+6(n-23))u . As noted before, Bu = 22^2 u . Since u is not the zero vector, we conclude 22^2 = 22 + 6(n-23) . Solve for n to get n = 100 .
 
  • #13
ozymandias said:
@RockFreak,

What was your friend's reasoning?

I can't remember, I was told over facebook and they don't save the chatlogs, so I don't know how to get back the reply.


To those who got 100, it does seem reasonable. But I couldn't even begin the question so my hat is off to you :approve:


EDIT:

g_edgar said:
100 is correct. Here is another way to do it. Say there are n people. Invent a matrix A to describe knowing each other. Write a_{ij} for the entry in row i column j of matrix A. Define A as follows: a_{ii} = 0; for i and j different, if i knows j, then a_{ij} = 1; if i does not know j, then a_{ij} = 0. Note A is symmetric. Let B = A^2 be the matrix multiplied by itself. Let u be the column vector of all 1s.

I don't understand how you made this matrix and why u is a column vector of all 1s
 
  • #14
Amazing solution, thanks for sharing it.

So is squaring the "connections matrix A" a common trick in graph theory? What sort of things can you learn from it?
 

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