Find the number of ways n different games can be divided

  • Thread starter chaoseverlasting
  • Start date
  • Tags
    Games
In summary, the problem is asking for the number of ways n different games can be divided between n different children so that one child receives no games and another child receives 2 games, while all other children receive 1 game. One possible solution is to choose one child to receive no games, another child to receive 2 games, and then distribute the remaining games randomly among the remaining children. This yields a total of n^2(n-1)^2(n-2)! combinations. Another possible solution is to set up a system of equations, where one variable represents the number of games received by each child, and solve for the coefficient of x^n in the resulting equation.
  • #1
chaoseverlasting
1,050
3

Homework Statement


Find the number of ways n different games can be divided between n different children so that every time, exactly one child gets no game.

Homework Equations


The Attempt at a Solution



Here, since exactly one child gets no games, n games are distributed among (n-1) children which gives one child 2 games. Now, since a child can get 2 games out of n in [tex]^n C_2 [/tex] and the children can be arranged in n! ways, to total ways to distribute the games is [tex]^n C_2 * n![/tex]

I was wondering if the following solution is also correct:
[tex]x_1 + x_2 +x_3 +... x_n =n[/tex] such that exactly one [tex]x_i =0[/tex] and exactly one [tex] x_j =2[/tex] where i and j are not the same elements and all other elements are equal to 1.

Therefore, the solution should be:

Coeff. of [tex]x^n[/tex] in [tex] ( (x^0)(x^1+x^2)(x^(n-2) )^n [/tex]

Thats coeff. of [tex]x^n[/tex] in ( (x^0)(x^1+x^2)(x^(n-2) )^n

Is this correct?
 
Last edited:
Physics news on Phys.org
  • #2
As an independent check, here's a different argument.

Pick one child to receive no games. n choices.

Pick the child who receives 2 games. (n-1) choices.

Pick the two games to be received by that child. n(n-1) choices.

Give each remaining child one game chosen at random. (n-2)! choices.

The above are independent, so the number of combinations = n^2(n-1)^2(n-2)! = n(n-1)n!
 
  • #3
btw, how would you find the coeff. of x^n in that equation though? And thank you Azero, that's the actual given solution.
 
  • #4
AlephZero said:
Pick the two games to be received by that child. n(n-1) choices.
That would be n(n-1)/2 .

Chaoseverlasting, I can't quite see how you came up with the
[tex]x_1 + x_2 +x_3 +... x_n =n[/tex] to solve the problem, since that approach would only give you the number of combinations if the games were not distinct. In this case however, even the games are distinct and thereby increases the no. of combinations.

Cheers
 
  • #5
arunbg said:
That would be n(n-1)/2 .

Oops - you are right, of course. :blushing:
 

FAQ: Find the number of ways n different games can be divided

How do you calculate the number of ways n different games can be divided?

The number of ways n different games can be divided is calculated using the formula n!, where n is the number of games. This is known as the factorial function, and it represents the number of ways to arrange n distinct objects.

Can you provide an example of calculating the number of ways n different games can be divided?

For example, if there are 5 different games, the number of ways they can be divided is 5! = 5 x 4 x 3 x 2 x 1 = 120. This means there are 120 different ways to arrange these 5 games.

How do you handle duplicate games when calculating the number of ways n different games can be divided?

If there are duplicate games, we need to divide the total number of ways by the number of duplicate games factorial. For example, if there are 3 identical games and 5 different games, the total number of ways will be 8! / (3! x 5!) = 56.

Is there a limit to the number of games that can be divided using this calculation?

Theoretically, there is no limit to the number of games that can be divided using this calculation. However, in practical applications, the number of games may be limited by factors such as time, resources, and feasibility.

Can this calculation be applied to any type of games?

Yes, this calculation can be applied to any type of games as long as they are distinct and can be arranged in different ways. It can also be applied to other objects or elements, not just games.

Back
Top